Specifies whether the DB cluster is encrypted.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
", "CreateDBClusterMessage$EnableIAMDatabaseAuthentication": "Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn't enabled.
For more information, see IAM Database Authentication in the Amazon Aurora User Guide or IAM database authentication for MariaDB, MySQL, and PostgreSQL in the Amazon RDS User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
", "CreateDBClusterMessage$DeletionProtection": "Specifies whether the DB cluster has deletion protection enabled. The database can't be deleted when deletion protection is enabled. By default, deletion protection isn't enabled.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
", - "CreateDBClusterMessage$EnableHttpEndpoint": "Specifies whether to enable the HTTP endpoint for the DB cluster. By default, the HTTP endpoint isn't enabled.
When enabled, the HTTP endpoint provides a connectionless web service API (RDS Data API) for running SQL queries on the DB cluster. You can also query your database from inside the RDS console with the RDS query editor.
RDS Data API is supported with the following DB clusters:
Aurora PostgreSQL Serverless v2 and provisioned
Aurora PostgreSQL and Aurora MySQL Serverless v1
For more information, see Using RDS Data API in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters only
", + "CreateDBClusterMessage$EnableHttpEndpoint": "Specifies whether to enable the HTTP endpoint for the DB cluster. By default, the HTTP endpoint isn't enabled.
When enabled, the HTTP endpoint provides a connectionless web service API (RDS Data API) for running SQL queries on the DB cluster. You can also query your database from inside the RDS console with the RDS query editor.
For more information, see Using RDS Data API in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters only
", "CreateDBClusterMessage$CopyTagsToSnapshot": "Specifies whether to copy all tags from the DB cluster to snapshots of the DB cluster. The default is not to copy them.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
", "CreateDBClusterMessage$EnableGlobalWriteForwarding": "Specifies whether to enable this DB cluster to forward write operations to the primary cluster of a global cluster (Aurora global database). By default, write operations are not allowed on Aurora DB clusters that are secondary clusters in an Aurora global database.
You can set this value only on Aurora DB clusters that are members of an Aurora global database. With this parameter enabled, a secondary cluster can forward writes to the current primary cluster, and the resulting changes are replicated back to this cluster. For the primary DB cluster of an Aurora global database, this value is used immediately if the primary is demoted by a global cluster API operation, but it does nothing until then.
Valid for Cluster Type: Aurora DB clusters only
", "CreateDBClusterMessage$PubliclyAccessible": "Specifies whether the DB cluster is publicly accessible.
When the DB cluster is publicly accessible and you connect from outside of the DB cluster's virtual private cloud (VPC), its Domain Name System (DNS) endpoint resolves to the public IP address. When you connect from within the same VPC as the DB cluster, the endpoint resolves to the private IP address. Access to the DB cluster is ultimately controlled by the security group it uses. That public access isn't permitted if the security group assigned to the DB cluster doesn't permit it.
When the DB cluster isn't publicly accessible, it is an internal DB cluster with a DNS name that resolves to a private IP address.
Valid for Cluster Type: Multi-AZ DB clusters only
Default: The default behavior varies depending on whether DBSubnetGroupName is specified.
If DBSubnetGroupName isn't specified, and PubliclyAccessible isn't specified, the following applies:
If the default VPC in the target Region doesn’t have an internet gateway attached to it, the DB cluster is private.
If the default VPC in the target Region has an internet gateway attached to it, the DB cluster is public.
If DBSubnetGroupName is specified, and PubliclyAccessible isn't specified, the following applies:
If the subnets are part of a VPC that doesn’t have an internet gateway attached to it, the DB cluster is private.
If the subnets are part of a VPC that has an internet gateway attached to it, the DB cluster is public.
The number of days to retain Performance Insights data.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
If you specify a retention period that isn't valid, such as 94, Amazon RDS issues an error.
The new amount of storage in gibibytes (GiB) to allocate for the DB instance.
For RDS for Db2, MariaDB, RDS for MySQL, RDS for Oracle, and RDS for PostgreSQL, the value supplied must be at least 10% greater than the current value. Values that are not at least 10% greater than the existing value are rounded up so that they are 10% greater than the current value.
For the valid values for allocated storage for each engine, see CreateDBInstance.
Constraints:
When you increase the allocated storage for a DB instance that uses Provisioned IOPS (gp3, io1, or io2 storage type), you must also specify the Iops parameter. You can use the current value for Iops.
The number of days to retain automated backups. Setting this parameter to a positive number enables backups. Setting this parameter to 0 disables automated backups.
Enabling and disabling backups can result in a brief I/O suspension that lasts from a few seconds to a few minutes, depending on the size and class of your DB instance.
These changes are applied during the next maintenance window unless the ApplyImmediately parameter is enabled for this request. If you change the parameter from one non-zero value to another non-zero value, the change is asynchronously applied as soon as possible.
This setting doesn't apply to Amazon Aurora DB instances. The retention period for automated backups is managed by the DB cluster. For more information, see ModifyDBCluster.
Default: Uses existing setting
Constraints:
Must be a value from 0 to 35.
Can't be set to 0 if the DB instance is a source to read replicas.
Can't be set to 0 for an RDS Custom for Oracle DB instance.
The new Provisioned IOPS (I/O operations per second) value for the RDS instance.
Changing this setting doesn't result in an outage and the change is applied during the next maintenance window unless the ApplyImmediately parameter is enabled for this request. If you are migrating from Provisioned IOPS to standard storage, set this value to 0. The DB instance will require a reboot for the change in storage type to take effect.
If you choose to migrate your DB instance from using standard storage to using Provisioned IOPS, or from using Provisioned IOPS to using standard storage, the process can take time. The duration of the migration depends on several factors such as database load, storage size, storage type (standard or Provisioned IOPS), amount of IOPS provisioned (if any), and the number of prior scale storage operations. Typical migration times are under 24 hours, but the process can take up to several days in some cases. During the migration, the DB instance is available for use, but might experience performance degradation. While the migration takes place, nightly backups for the instance are suspended. No other Amazon RDS operations can take place for the instance, including modifying the instance, rebooting the instance, deleting the instance, creating a read replica for the instance, and creating a DB snapshot of the instance.
Constraints:
For RDS for MariaDB, RDS for MySQL, RDS for Oracle, and RDS for PostgreSQL - The value supplied must be at least 10% greater than the current value. Values that are not at least 10% greater than the existing value are rounded up so that they are 10% greater than the current value.
When you increase the Provisioned IOPS, you must also specify the AllocatedStorage parameter. You can use the current value for AllocatedStorage.
Default: Uses existing setting
", + "ModifyDBInstanceMessage$Iops": "The new Provisioned IOPS (I/O operations per second) value for the RDS instance.
Changing this setting doesn't result in an outage and the change is applied during the next maintenance window unless the ApplyImmediately parameter is enabled for this request. If you are migrating from Provisioned IOPS to standard storage, set this value to 0. The DB instance will require a reboot for the change in storage type to take effect.
If you choose to migrate your DB instance from using standard storage to Provisioned IOPS (io1), or from Provisioned IOPS to standard storage, the process can take time. The duration of the migration depends on several factors such as database load, storage size, storage type (standard or Provisioned IOPS), amount of IOPS provisioned (if any), and the number of prior scale storage operations. Typical migration times are under 24 hours, but the process can take up to several days in some cases. During the migration, the DB instance is available for use, but might experience performance degradation. While the migration takes place, nightly backups for the instance are suspended. No other Amazon RDS operations can take place for the instance, including modifying the instance, rebooting the instance, deleting the instance, creating a read replica for the instance, and creating a DB snapshot of the instance.
Constraints:
For RDS for MariaDB, RDS for MySQL, RDS for Oracle, and RDS for PostgreSQL - The value supplied must be at least 10% greater than the current value. Values that are not at least 10% greater than the existing value are rounded up so that they are 10% greater than the current value.
When you increase the Provisioned IOPS, you must also specify the AllocatedStorage parameter. You can use the current value for AllocatedStorage.
Default: Uses existing setting
", "ModifyDBInstanceMessage$MonitoringInterval": "The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB instance. To disable collection of Enhanced Monitoring metrics, specify 0.
If MonitoringRoleArn is specified, set MonitoringInterval to a value other than 0.
This setting doesn't apply to RDS Custom DB instances.
Valid Values: 0 | 1 | 5 | 10 | 15 | 30 | 60
Default: 0
The port number on which the database accepts connections.
The value of the DBPortNumber parameter must not match any of the port values specified for options in the option group for the DB instance.
If you change the DBPortNumber value, your database restarts regardless of the value of the ApplyImmediately parameter.
This setting doesn't apply to RDS Custom DB instances.
Valid Values: 1150-65535
Default:
Amazon Aurora - 3306
RDS for Db2 - 50000
RDS for MariaDB - 3306
RDS for Microsoft SQL Server - 1433
RDS for MySQL - 3306
RDS for Oracle - 1521
RDS for PostgreSQL - 5432
Constraints:
For RDS for Microsoft SQL Server, the value can't be 1234, 1434, 3260, 3343, 3389, 47001, or 49152-49156.
The order of priority in which an Aurora Replica is promoted to the primary instance after a failure of the existing primary instance. For more information, see Fault Tolerance for an Aurora DB Cluster in the Amazon Aurora User Guide.
This setting doesn't apply to RDS Custom DB instances.
Default: 1
Valid Values: 0 - 15
The license model for the DB instance.
This setting doesn't apply to Amazon Aurora or RDS Custom DB instances.
Valid Values:
RDS for Db2 - bring-your-own-license
RDS for MariaDB - general-public-license
RDS for Microsoft SQL Server - license-included
RDS for MySQL - general-public-license
RDS for Oracle - bring-your-own-license | license-included
RDS for PostgreSQL - postgresql-license
The option group to associate the DB instance with.
Changing this parameter doesn't result in an outage, with one exception. If the parameter change results in an option group that enables OEM, it can cause a brief period, lasting less than a second, during which new connections are rejected but existing connections aren't interrupted.
The change is applied during the next maintenance window unless the ApplyImmediately parameter is enabled for this request.
Permanent options, such as the TDE option for Oracle Advanced Security TDE, can't be removed from an option group, and that option group can't be removed from a DB instance after it is associated with a DB instance.
This setting doesn't apply to RDS Custom DB instances.
", "ModifyDBInstanceMessage$NewDBInstanceIdentifier": "The new identifier for the DB instance when renaming a DB instance. When you change the DB instance identifier, an instance reboot occurs immediately if you enable ApplyImmediately, or will occur during the next maintenance window if you disable ApplyImmediately. This value is stored as a lowercase string.
This setting doesn't apply to RDS Custom DB instances.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
The first character must be a letter.
Can't end with a hyphen or contain two consecutive hyphens.
Example: mydbinstance
The storage type to associate with the DB instance.
If you specify io1, io2, or gp3 you must also include a value for the Iops parameter.
If you choose to migrate your DB instance from using standard storage to using Provisioned IOPS, or from using Provisioned IOPS to using standard storage, the process can take time. The duration of the migration depends on several factors such as database load, storage size, storage type (standard or Provisioned IOPS), amount of IOPS provisioned (if any), and the number of prior scale storage operations. Typical migration times are under 24 hours, but the process can take up to several days in some cases. During the migration, the DB instance is available for use, but might experience performance degradation. While the migration takes place, nightly backups for the instance are suspended. No other Amazon RDS operations can take place for the instance, including modifying the instance, rebooting the instance, deleting the instance, creating a read replica for the instance, and creating a DB snapshot of the instance.
Valid Values: gp2 | gp3 | io1 | io2 | standard
Default: io1, if the Iops parameter is specified. Otherwise, gp2.
The storage type to associate with the DB instance.
If you specify io1, io2, or gp3 you must also include a value for the Iops parameter.
If you choose to migrate your DB instance from using standard storage to gp2 (General Purpose SSD), gp3, or Provisioned IOPS (io1), or from these storage types to standard storage, the process can take time. The duration of the migration depends on several factors such as database load, storage size, storage type (standard or Provisioned IOPS), amount of IOPS provisioned (if any), and the number of prior scale storage operations. Typical migration times are under 24 hours, but the process can take up to several days in some cases. During the migration, the DB instance is available for use, but might experience performance degradation. While the migration takes place, nightly backups for the instance are suspended. No other Amazon RDS operations can take place for the instance, including modifying the instance, rebooting the instance, deleting the instance, creating a read replica for the instance, and creating a DB snapshot of the instance.
Valid Values: gp2 | gp3 | io1 | io2 | standard
Default: io1, if the Iops parameter is specified. Otherwise, gp2.
The ARN from the key store with which to associate the instance for TDE encryption.
This setting doesn't apply to RDS Custom DB instances.
", "ModifyDBInstanceMessage$TdeCredentialPassword": "The password for the given ARN from the key store in order to access the device.
This setting doesn't apply to RDS Custom DB instances.
", "ModifyDBInstanceMessage$CACertificateIdentifier": "The CA certificate identifier to use for the DB instance's server certificate.
This setting doesn't apply to RDS Custom DB instances.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
", @@ -5616,7 +5616,7 @@ "RestoreDBClusterToPointInTimeMessage$DBClusterParameterGroupName": "The name of the custom DB cluster parameter group to associate with this DB cluster.
If the DBClusterParameterGroupName parameter is omitted, the default DB cluster parameter group for the specified engine is used.
Constraints:
If supplied, must match the name of an existing DB cluster parameter group.
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter.
Can't end with a hyphen or contain two consecutive hyphens.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
", "RestoreDBClusterToPointInTimeMessage$Domain": "The Active Directory directory ID to restore the DB cluster in. The domain must be created prior to this operation.
For Amazon Aurora DB clusters, Amazon RDS can use Kerberos Authentication to authenticate users that connect to the DB cluster. For more information, see Kerberos Authentication in the Amazon Aurora User Guide.
Valid for: Aurora DB clusters only
", "RestoreDBClusterToPointInTimeMessage$DomainIAMRoleName": "The name of the IAM role to be used when making API calls to the Directory Service.
Valid for: Aurora DB clusters only
", - "RestoreDBClusterToPointInTimeMessage$EngineMode": "The engine mode of the new cluster. Specify provisioned or serverless, depending on the type of the cluster you are creating. You can create an Aurora Serverless v1 clone from a provisioned cluster, or a provisioned clone from an Aurora Serverless v1 cluster. To create a clone that is an Aurora Serverless v1 cluster, the original cluster must be an Aurora Serverless v1 cluster or an encrypted provisioned cluster.
Valid for: Aurora DB clusters only
", + "RestoreDBClusterToPointInTimeMessage$EngineMode": "The engine mode of the new cluster. Specify provisioned or serverless, depending on the type of the cluster you are creating. You can create an Aurora Serverless v1 clone from a provisioned cluster, or a provisioned clone from an Aurora Serverless v1 cluster. To create a clone that is an Aurora Serverless v1 cluster, the original cluster must be an Aurora Serverless v1 cluster or an encrypted provisioned cluster. To create a full copy that is an Aurora Serverless v1 cluster, specify the engine mode serverless.
Valid for: Aurora DB clusters only
", "RestoreDBClusterToPointInTimeMessage$DBClusterInstanceClass": "The compute and memory capacity of the each DB instance in the Multi-AZ DB cluster, for example db.m6gd.xlarge. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines.
For the full list of DB instance classes, and availability for your engine, see DB instance class in the Amazon RDS User Guide.
Valid for: Multi-AZ DB clusters only
", "RestoreDBClusterToPointInTimeMessage$StorageType": "Specifies the storage type to be associated with the DB cluster.
When specified for a Multi-AZ DB cluster, a value for the Iops parameter is required.
Valid Values: aurora, aurora-iopt1 (Aurora DB clusters); io1 (Multi-AZ DB clusters)
Default: aurora (Aurora DB clusters); io1 (Multi-AZ DB clusters)
Valid for: Aurora DB clusters and Multi-AZ DB clusters
", "RestoreDBClusterToPointInTimeMessage$NetworkType": "The network type of the DB cluster.
Valid Values:
IPV4
DUAL
The network type is determined by the DBSubnetGroup specified for the DB cluster. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon Aurora User Guide.
Valid for: Aurora DB clusters only
", diff --git a/src/data/rds/2014-10-31/docs-2.json.php b/src/data/rds/2014-10-31/docs-2.json.php index aa385a79e6..da84c26401 100644 --- a/src/data/rds/2014-10-31/docs-2.json.php +++ b/src/data/rds/2014-10-31/docs-2.json.php @@ -1,3 +1,3 @@ '2.0', 'service' => 'Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizeable capacity for an industry-standard relational database and manages common database administration tasks, freeing up developers to focus on what makes their applications and businesses unique.
Amazon RDS gives you access to the capabilities of a MySQL, MariaDB, PostgreSQL, Microsoft SQL Server, Oracle, Db2, or Amazon Aurora database server. These capabilities mean that the code, applications, and tools you already use today with your existing databases work with Amazon RDS without modification. Amazon RDS automatically backs up your database and maintains the database software that powers your DB instance. Amazon RDS is flexible: you can scale your DB instance\'s compute resources and storage capacity to meet your application\'s demand. As with all Amazon Web Services, there are no up-front investments, and you pay only for the resources you use.
This interface reference for Amazon RDS contains documentation for a programming or command line interface you can use to manage Amazon RDS. Amazon RDS is asynchronous, which means that some interfaces might require techniques such as polling or callback functions to determine when a command has been applied. In this reference, the parameter descriptions indicate whether a command is applied immediately, on the next instance reboot, or during the maintenance window. The reference structure is as follows, and we list following some related topics from the user guide.
Amazon RDS API Reference
For the alphabetical list of API actions, see API Actions.
For the alphabetical list of data types, see Data Types.
For a list of common query parameters, see Common Parameters.
For descriptions of the error codes, see Common Errors.
Amazon RDS User Guide
For a summary of the Amazon RDS interfaces, see Available RDS Interfaces.
For more information about how to use the Query API, see Using the Query API.
Associates an Identity and Access Management (IAM) role with a DB cluster.
', 'AddRoleToDBInstance' => 'Associates an Amazon Web Services Identity and Access Management (IAM) role with a DB instance.
To add a role to a DB instance, the status of the DB instance must be available.
This command doesn\'t apply to RDS Custom.
', 'AddSourceIdentifierToSubscription' => 'Adds a source identifier to an existing RDS event notification subscription.
', 'AddTagsToResource' => 'Adds metadata tags to an Amazon RDS resource. These tags can also be used with cost allocation reporting to track cost associated with Amazon RDS resources, or used in a Condition statement in an IAM policy for Amazon RDS.
For an overview on tagging your relational database resources, see Tagging Amazon RDS Resources or Tagging Amazon Aurora and Amazon RDS Resources.
', 'ApplyPendingMaintenanceAction' => 'Applies a pending maintenance action to a resource (for example, to a DB instance).
', 'AuthorizeDBSecurityGroupIngress' => 'Enables ingress to a DBSecurityGroup using one of two forms of authorization. First, EC2 or VPC security groups can be added to the DBSecurityGroup if the application using the database is running on EC2 or VPC instances. Second, IP ranges are available if the application accessing your database is running on the internet. Required parameters for this API are one of CIDR range, EC2SecurityGroupId for VPC, or (EC2SecurityGroupOwnerId and either EC2SecurityGroupName or EC2SecurityGroupId for non-VPC).
You can\'t authorize ingress from an EC2 security group in one Amazon Web Services Region to an Amazon RDS DB instance in another. You can\'t authorize ingress from a VPC security group in one VPC to an Amazon RDS DB instance in another.
For an overview of CIDR ranges, go to the Wikipedia Tutorial.
EC2-Classic was retired on August 15, 2022. If you haven\'t migrated from EC2-Classic to a VPC, we recommend that you migrate as soon as possible. For more information, see Migrate from EC2-Classic to a VPC in the Amazon EC2 User Guide, the blog EC2-Classic Networking is Retiring – Here’s How to Prepare, and Moving a DB instance not in a VPC into a VPC in the Amazon RDS User Guide.
Backtracks a DB cluster to a specific time, without creating a new DB cluster.
For more information on backtracking, see Backtracking an Aurora DB Cluster in the Amazon Aurora User Guide.
This action applies only to Aurora MySQL DB clusters.
Cancels an export task in progress that is exporting a snapshot or cluster to Amazon S3. Any data that has already been written to the S3 bucket isn\'t removed.
', 'CopyDBClusterParameterGroup' => 'Copies the specified DB cluster parameter group.
You can\'t copy a default DB cluster parameter group. Instead, create a new custom DB cluster parameter group, which copies the default parameters and values for the specified DB cluster parameter group family.
Copies a snapshot of a DB cluster.
To copy a DB cluster snapshot from a shared manual DB cluster snapshot, SourceDBClusterSnapshotIdentifier must be the Amazon Resource Name (ARN) of the shared DB cluster snapshot.
You can copy an encrypted DB cluster snapshot from another Amazon Web Services Region. In that case, the Amazon Web Services Region where you call the CopyDBClusterSnapshot operation is the destination Amazon Web Services Region for the encrypted DB cluster snapshot to be copied to. To copy an encrypted DB cluster snapshot from another Amazon Web Services Region, you must provide the following values:
KmsKeyId - The Amazon Web Services Key Management System (Amazon Web Services KMS) key identifier for the key to use to encrypt the copy of the DB cluster snapshot in the destination Amazon Web Services Region.
TargetDBClusterSnapshotIdentifier - The identifier for the new copy of the DB cluster snapshot in the destination Amazon Web Services Region.
SourceDBClusterSnapshotIdentifier - The DB cluster snapshot identifier for the encrypted DB cluster snapshot to be copied. This identifier must be in the ARN format for the source Amazon Web Services Region and is the same value as the SourceDBClusterSnapshotIdentifier in the presigned URL.
To cancel the copy operation once it is in progress, delete the target DB cluster snapshot identified by TargetDBClusterSnapshotIdentifier while that DB cluster snapshot is in "copying" status.
For more information on copying encrypted Amazon Aurora DB cluster snapshots from one Amazon Web Services Region to another, see Copying a Snapshot in the Amazon Aurora User Guide.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'CopyDBParameterGroup' => 'Copies the specified DB parameter group.
You can\'t copy a default DB parameter group. Instead, create a new custom DB parameter group, which copies the default parameters and values for the specified DB parameter group family.
Copies the specified DB snapshot. The source DB snapshot must be in the available state.
You can copy a snapshot from one Amazon Web Services Region to another. In that case, the Amazon Web Services Region where you call the CopyDBSnapshot operation is the destination Amazon Web Services Region for the DB snapshot copy.
This command doesn\'t apply to RDS Custom.
For more information about copying snapshots, see Copying a DB Snapshot in the Amazon RDS User Guide.
', 'CopyOptionGroup' => 'Copies the specified option group.
', 'CreateBlueGreenDeployment' => 'Creates a blue/green deployment.
A blue/green deployment creates a staging environment that copies the production environment. In a blue/green deployment, the blue environment is the current production environment. The green environment is the staging environment, and it stays in sync with the current production environment.
You can make changes to the databases in the green environment without affecting production workloads. For example, you can upgrade the major or minor DB engine version, change database parameters, or make schema changes in the staging environment. You can thoroughly test changes in the green environment. When ready, you can switch over the environments to promote the green environment to be the new production environment. The switchover typically takes under a minute.
For more information, see Using Amazon RDS Blue/Green Deployments for database updates in the Amazon RDS User Guide and Using Amazon RDS Blue/Green Deployments for database updates in the Amazon Aurora User Guide.
', 'CreateCustomDBEngineVersion' => 'Creates a custom DB engine version (CEV).
', 'CreateDBCluster' => 'Creates a new Amazon Aurora DB cluster or Multi-AZ DB cluster.
If you create an Aurora DB cluster, the request creates an empty cluster. You must explicitly create the writer instance for your DB cluster using the CreateDBInstance operation. If you create a Multi-AZ DB cluster, the request creates a writer and two reader DB instances for you, each in a different Availability Zone.
You can use the ReplicationSourceIdentifier parameter to create an Amazon Aurora DB cluster as a read replica of another DB cluster or Amazon RDS for MySQL or PostgreSQL DB instance. For more information about Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
You can also use the ReplicationSourceIdentifier parameter to create a Multi-AZ DB cluster read replica with an RDS for MySQL or PostgreSQL DB instance as the source. For more information about Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
Creates a new custom endpoint and associates it with an Amazon Aurora DB cluster.
This action applies only to Aurora DB clusters.
Creates a new DB cluster parameter group.
Parameters in a DB cluster parameter group apply to all of the instances in a DB cluster.
A DB cluster parameter group is initially created with the default parameters for the database engine used by instances in the DB cluster. To provide custom values for any of the parameters, you must modify the group after creating it using ModifyDBClusterParameterGroup. Once you\'ve created a DB cluster parameter group, you need to associate it with your DB cluster using ModifyDBCluster.
When you associate a new DB cluster parameter group with a running Aurora DB cluster, reboot the DB instances in the DB cluster without failover for the new DB cluster parameter group and associated settings to take effect.
When you associate a new DB cluster parameter group with a running Multi-AZ DB cluster, reboot the DB cluster without failover for the new DB cluster parameter group and associated settings to take effect.
After you create a DB cluster parameter group, you should wait at least 5 minutes before creating your first DB cluster that uses that DB cluster parameter group as the default parameter group. This allows Amazon RDS to fully complete the create action before the DB cluster parameter group is used as the default for a new DB cluster. This is especially important for parameters that are critical when creating the default database for a DB cluster, such as the character set for the default database defined by the character_set_database parameter. You can use the Parameter Groups option of the Amazon RDS console or the DescribeDBClusterParameters operation to verify that your DB cluster parameter group has been created or modified.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'CreateDBClusterSnapshot' => 'Creates a snapshot of a DB cluster.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'CreateDBInstance' => 'Creates a new DB instance.
The new DB instance can be an RDS DB instance, or it can be a DB instance in an Aurora DB cluster. For an Aurora DB cluster, you can call this operation multiple times to add more than one DB instance to the cluster.
For more information about creating an RDS DB instance, see Creating an Amazon RDS DB instance in the Amazon RDS User Guide.
For more information about creating a DB instance in an Aurora DB cluster, see Creating an Amazon Aurora DB cluster in the Amazon Aurora User Guide.
', 'CreateDBInstanceReadReplica' => 'Creates a new DB instance that acts as a read replica for an existing source DB instance or Multi-AZ DB cluster. You can create a read replica for a DB instance running Db2, MariaDB, MySQL, Oracle, PostgreSQL, or SQL Server. You can create a read replica for a Multi-AZ DB cluster running MySQL or PostgreSQL. For more information, see Working with read replicas and Migrating from a Multi-AZ DB cluster to a DB instance using a read replica in the Amazon RDS User Guide.
Amazon Aurora doesn\'t support this operation. To create a DB instance for an Aurora DB cluster, use the CreateDBInstance operation.
All read replica DB instances are created with backups disabled. All other attributes (including DB security groups and DB parameter groups) are inherited from the source DB instance or cluster, except as specified.
Your source DB instance or cluster must have backup retention enabled.
Creates a new DB parameter group.
A DB parameter group is initially created with the default parameters for the database engine used by the DB instance. To provide custom values for any of the parameters, you must modify the group after creating it using ModifyDBParameterGroup. Once you\'ve created a DB parameter group, you need to associate it with your DB instance using ModifyDBInstance. When you associate a new DB parameter group with a running DB instance, you need to reboot the DB instance without failover for the new DB parameter group and associated settings to take effect.
This command doesn\'t apply to RDS Custom.
After you create a DB parameter group, you should wait at least 5 minutes before creating your first DB instance that uses that DB parameter group as the default parameter group. This allows Amazon RDS to fully complete the create action before the parameter group is used as the default for a new DB instance. This is especially important for parameters that are critical when creating the default database for a DB instance, such as the character set for the default database defined by the character_set_database parameter. You can use the Parameter Groups option of the Amazon RDS console or the DescribeDBParameters command to verify that your DB parameter group has been created or modified.
Creates a new DB proxy.
', 'CreateDBProxyEndpoint' => 'Creates a DBProxyEndpoint. Only applies to proxies that are associated with Aurora DB clusters. You can use DB proxy endpoints to specify read/write or read-only access to the DB cluster. You can also use DB proxy endpoints to access a DB proxy through a different VPC than the proxy\'s default VPC.
Creates a new DB security group. DB security groups control access to a DB instance.
A DB security group controls access to EC2-Classic DB instances that are not in a VPC.
EC2-Classic was retired on August 15, 2022. If you haven\'t migrated from EC2-Classic to a VPC, we recommend that you migrate as soon as possible. For more information, see Migrate from EC2-Classic to a VPC in the Amazon EC2 User Guide, the blog EC2-Classic Networking is Retiring – Here’s How to Prepare, and Moving a DB instance not in a VPC into a VPC in the Amazon RDS User Guide.
Creates a new DB shard group for Aurora Limitless Database. You must enable Aurora Limitless Database to create a DB shard group.
Valid for: Aurora DB clusters only
', 'CreateDBSnapshot' => 'Creates a snapshot of a DB instance. The source DB instance must be in the available or storage-optimization state.
Creates a new DB subnet group. DB subnet groups must contain at least one subnet in at least two AZs in the Amazon Web Services Region.
', 'CreateEventSubscription' => 'Creates an RDS event notification subscription. This operation requires a topic Amazon Resource Name (ARN) created by either the RDS console, the SNS console, or the SNS API. To obtain an ARN with SNS, you must create a topic in Amazon SNS and subscribe to the topic. The ARN is displayed in the SNS console.
You can specify the type of source (SourceType) that you want to be notified of and provide a list of RDS sources (SourceIds) that triggers the events. You can also provide a list of event categories (EventCategories) for events that you want to be notified of. For example, you can specify SourceType = db-instance, SourceIds = mydbinstance1, mydbinstance2 and EventCategories = Availability, Backup.
If you specify both the SourceType and SourceIds, such as SourceType = db-instance and SourceIds = myDBInstance1, you are notified of all the db-instance events for the specified source. If you specify a SourceType but do not specify SourceIds, you receive notice of the events for that source type for all your RDS sources. If you don\'t specify either the SourceType or the SourceIds, you are notified of events generated from all RDS sources belonging to your customer account.
For more information about subscribing to an event for RDS DB engines, see Subscribing to Amazon RDS event notification in the Amazon RDS User Guide.
For more information about subscribing to an event for Aurora DB engines, see Subscribing to Amazon RDS event notification in the Amazon Aurora User Guide.
', 'CreateGlobalCluster' => 'Creates an Aurora global database spread across multiple Amazon Web Services Regions. The global database contains a single primary cluster with read-write capability, and a read-only secondary cluster that receives data from the primary cluster through high-speed replication performed by the Aurora storage subsystem.
You can create a global database that is initially empty, and then create the primary and secondary DB clusters in the global database. Or you can specify an existing Aurora cluster during the create operation, and this cluster becomes the primary cluster of the global database.
This operation applies only to Aurora DB clusters.
Creates a zero-ETL integration with Amazon Redshift.
', 'CreateOptionGroup' => 'Creates a new option group. You can create up to 20 option groups.
This command doesn\'t apply to RDS Custom.
', 'CreateTenantDatabase' => 'Creates a tenant database in a DB instance that uses the multi-tenant configuration. Only RDS for Oracle container database (CDB) instances are supported.
', 'DeleteBlueGreenDeployment' => 'Deletes a blue/green deployment.
For more information, see Using Amazon RDS Blue/Green Deployments for database updates in the Amazon RDS User Guide and Using Amazon RDS Blue/Green Deployments for database updates in the Amazon Aurora User Guide.
', 'DeleteCustomDBEngineVersion' => 'Deletes a custom engine version. To run this command, make sure you meet the following prerequisites:
The CEV must not be the default for RDS Custom. If it is, change the default before running this command.
The CEV must not be associated with an RDS Custom DB instance, RDS Custom instance snapshot, or automated backup of your RDS Custom instance.
Typically, deletion takes a few minutes.
The MediaImport service that imports files from Amazon S3 to create CEVs isn\'t integrated with Amazon Web Services CloudTrail. If you turn on data logging for Amazon RDS in CloudTrail, calls to the DeleteCustomDbEngineVersion event aren\'t logged. However, you might see calls from the API gateway that accesses your Amazon S3 bucket. These calls originate from the MediaImport service for the DeleteCustomDbEngineVersion event.
For more information, see Deleting a CEV in the Amazon RDS User Guide.
', 'DeleteDBCluster' => 'The DeleteDBCluster action deletes a previously provisioned DB cluster. When you delete a DB cluster, all automated backups for that DB cluster are deleted and can\'t be recovered. Manual DB cluster snapshots of the specified DB cluster are not deleted.
If you\'re deleting a Multi-AZ DB cluster with read replicas, all cluster members are terminated and read replicas are promoted to standalone instances.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'DeleteDBClusterAutomatedBackup' => 'Deletes automated backups using the DbClusterResourceId value of the source DB cluster or the Amazon Resource Name (ARN) of the automated backups.
Deletes a custom endpoint and removes it from an Amazon Aurora DB cluster.
This action only applies to Aurora DB clusters.
Deletes a specified DB cluster parameter group. The DB cluster parameter group to be deleted can\'t be associated with any DB clusters.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'DeleteDBClusterSnapshot' => 'Deletes a DB cluster snapshot. If the snapshot is being copied, the copy operation is terminated.
The DB cluster snapshot must be in the available state to be deleted.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'DeleteDBInstance' => 'Deletes a previously provisioned DB instance. When you delete a DB instance, all automated backups for that instance are deleted and can\'t be recovered. However, manual DB snapshots of the DB instance aren\'t deleted.
If you request a final DB snapshot, the status of the Amazon RDS DB instance is deleting until the DB snapshot is created. This operation can\'t be canceled or reverted after it begins. To monitor the status of this operation, use DescribeDBInstance.
When a DB instance is in a failure state and has a status of failed, incompatible-restore, or incompatible-network, you can only delete it when you skip creation of the final snapshot with the SkipFinalSnapshot parameter.
If the specified DB instance is part of an Amazon Aurora DB cluster, you can\'t delete the DB instance if both of the following conditions are true:
The DB cluster is a read replica of another Amazon Aurora DB cluster.
The DB instance is the only instance in the DB cluster.
To delete a DB instance in this case, first use the PromoteReadReplicaDBCluster operation to promote the DB cluster so that it\'s no longer a read replica. After the promotion completes, use the DeleteDBInstance operation to delete the final instance in the DB cluster.
For RDS Custom DB instances, deleting the DB instance permanently deletes the EC2 instance and the associated EBS volumes. Make sure that you don\'t terminate or delete these resources before you delete the DB instance. Otherwise, deleting the DB instance and creation of the final snapshot might fail.
Deletes automated backups using the DbiResourceId value of the source DB instance or the Amazon Resource Name (ARN) of the automated backups.
Deletes a specified DB parameter group. The DB parameter group to be deleted can\'t be associated with any DB instances.
', 'DeleteDBProxy' => 'Deletes an existing DB proxy.
', 'DeleteDBProxyEndpoint' => 'Deletes a DBProxyEndpoint. Doing so removes the ability to access the DB proxy using the endpoint that you defined. The endpoint that you delete might have provided capabilities such as read/write or read-only operations, or using a different VPC than the DB proxy\'s default VPC.
Deletes a DB security group.
The specified DB security group must not be associated with any DB instances.
EC2-Classic was retired on August 15, 2022. If you haven\'t migrated from EC2-Classic to a VPC, we recommend that you migrate as soon as possible. For more information, see Migrate from EC2-Classic to a VPC in the Amazon EC2 User Guide, the blog EC2-Classic Networking is Retiring – Here’s How to Prepare, and Moving a DB instance not in a VPC into a VPC in the Amazon RDS User Guide.
Deletes an Aurora Limitless Database DB shard group.
', 'DeleteDBSnapshot' => 'Deletes a DB snapshot. If the snapshot is being copied, the copy operation is terminated.
The DB snapshot must be in the available state to be deleted.
Deletes a DB subnet group.
The specified database subnet group must not be associated with any DB instances.
Deletes an RDS event notification subscription.
', 'DeleteGlobalCluster' => 'Deletes a global database cluster. The primary and secondary clusters must already be detached or destroyed first.
This action only applies to Aurora DB clusters.
Deletes a zero-ETL integration with Amazon Redshift.
', 'DeleteOptionGroup' => 'Deletes an existing option group.
', 'DeleteTenantDatabase' => 'Deletes a tenant database from your DB instance. This command only applies to RDS for Oracle container database (CDB) instances.
You can\'t delete a tenant database when it is the only tenant in the DB instance.
', 'DeregisterDBProxyTargets' => 'Remove the association between one or more DBProxyTarget data structures and a DBProxyTargetGroup.
Lists all of the attributes for a customer account. The attributes include Amazon RDS quotas for the account, such as the number of DB instances allowed. The description for a quota includes the quota name, current usage toward that quota, and the quota\'s maximum value.
This command doesn\'t take any parameters.
', 'DescribeBlueGreenDeployments' => 'Describes one or more blue/green deployments.
For more information, see Using Amazon RDS Blue/Green Deployments for database updates in the Amazon RDS User Guide and Using Amazon RDS Blue/Green Deployments for database updates in the Amazon Aurora User Guide.
', 'DescribeCertificates' => 'Lists the set of certificate authority (CA) certificates provided by Amazon RDS for this Amazon Web Services account.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'DescribeDBClusterAutomatedBackups' => 'Displays backups for both current and deleted DB clusters. For example, use this operation to find details about automated backups for previously deleted clusters. Current clusters are returned for both the DescribeDBClusterAutomatedBackups and DescribeDBClusters operations.
All parameters are optional.
', 'DescribeDBClusterBacktracks' => 'Returns information about backtracks for a DB cluster.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
This action only applies to Aurora MySQL DB clusters.
Returns information about endpoints for an Amazon Aurora DB cluster.
This action only applies to Aurora DB clusters.
Returns a list of DBClusterParameterGroup descriptions. If a DBClusterParameterGroupName parameter is specified, the list will contain only the description of the specified DB cluster parameter group.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'DescribeDBClusterParameters' => 'Returns the detailed parameter list for a particular DB cluster parameter group.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'DescribeDBClusterSnapshotAttributes' => 'Returns a list of DB cluster snapshot attribute names and values for a manual DB cluster snapshot.
When sharing snapshots with other Amazon Web Services accounts, DescribeDBClusterSnapshotAttributes returns the restore attribute and a list of IDs for the Amazon Web Services accounts that are authorized to copy or restore the manual DB cluster snapshot. If all is included in the list of values for the restore attribute, then the manual DB cluster snapshot is public and can be copied or restored by all Amazon Web Services accounts.
To add or remove access for an Amazon Web Services account to copy or restore a manual DB cluster snapshot, or to make the manual DB cluster snapshot public or private, use the ModifyDBClusterSnapshotAttribute API action.
Returns information about DB cluster snapshots. This API action supports pagination.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'DescribeDBClusters' => 'Describes existing Amazon Aurora DB clusters and Multi-AZ DB clusters. This API supports pagination.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
This operation can also return information for Amazon Neptune DB instances and Amazon DocumentDB instances.
', 'DescribeDBEngineVersions' => 'Describes the properties of specific versions of DB engines.
', 'DescribeDBInstanceAutomatedBackups' => 'Displays backups for both current and deleted instances. For example, use this operation to find details about automated backups for previously deleted instances. Current instances with retention periods greater than zero (0) are returned for both the DescribeDBInstanceAutomatedBackups and DescribeDBInstances operations.
All parameters are optional.
', 'DescribeDBInstances' => 'Describes provisioned RDS instances. This API supports pagination.
This operation can also return information for Amazon Neptune DB instances and Amazon DocumentDB instances.
Returns a list of DB log files for the DB instance.
This command doesn\'t apply to RDS Custom.
', 'DescribeDBParameterGroups' => 'Returns a list of DBParameterGroup descriptions. If a DBParameterGroupName is specified, the list will contain only the description of the specified DB parameter group.
Returns the detailed parameter list for a particular DB parameter group.
', 'DescribeDBProxies' => 'Returns information about DB proxies.
', 'DescribeDBProxyEndpoints' => 'Returns information about DB proxy endpoints.
', 'DescribeDBProxyTargetGroups' => 'Returns information about DB proxy target groups, represented by DBProxyTargetGroup data structures.
Returns information about DBProxyTarget objects. This API supports pagination.
Describes the recommendations to resolve the issues for your DB instances, DB clusters, and DB parameter groups.
', 'DescribeDBSecurityGroups' => 'Returns a list of DBSecurityGroup descriptions. If a DBSecurityGroupName is specified, the list will contain only the descriptions of the specified DB security group.
EC2-Classic was retired on August 15, 2022. If you haven\'t migrated from EC2-Classic to a VPC, we recommend that you migrate as soon as possible. For more information, see Migrate from EC2-Classic to a VPC in the Amazon EC2 User Guide, the blog EC2-Classic Networking is Retiring – Here’s How to Prepare, and Moving a DB instance not in a VPC into a VPC in the Amazon RDS User Guide.
Describes existing Aurora Limitless Database DB shard groups.
', 'DescribeDBSnapshotAttributes' => 'Returns a list of DB snapshot attribute names and values for a manual DB snapshot.
When sharing snapshots with other Amazon Web Services accounts, DescribeDBSnapshotAttributes returns the restore attribute and a list of IDs for the Amazon Web Services accounts that are authorized to copy or restore the manual DB snapshot. If all is included in the list of values for the restore attribute, then the manual DB snapshot is public and can be copied or restored by all Amazon Web Services accounts.
To add or remove access for an Amazon Web Services account to copy or restore a manual DB snapshot, or to make the manual DB snapshot public or private, use the ModifyDBSnapshotAttribute API action.
Describes the tenant databases that exist in a DB snapshot. This command only applies to RDS for Oracle DB instances in the multi-tenant configuration.
You can use this command to inspect the tenant databases within a snapshot before restoring it. You can\'t directly interact with the tenant databases in a DB snapshot. If you restore a snapshot that was taken from DB instance using the multi-tenant configuration, you restore all its tenant databases.
', 'DescribeDBSnapshots' => 'Returns information about DB snapshots. This API action supports pagination.
', 'DescribeDBSubnetGroups' => 'Returns a list of DBSubnetGroup descriptions. If a DBSubnetGroupName is specified, the list will contain only the descriptions of the specified DBSubnetGroup.
For an overview of CIDR ranges, go to the Wikipedia Tutorial.
', 'DescribeEngineDefaultClusterParameters' => 'Returns the default engine and system parameter information for the cluster database engine.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
', 'DescribeEngineDefaultParameters' => 'Returns the default engine and system parameter information for the specified database engine.
', 'DescribeEventCategories' => 'Displays a list of categories for all event source types, or, if specified, for a specified source type. You can also see this list in the "Amazon RDS event categories and event messages" section of the Amazon RDS User Guide or the Amazon Aurora User Guide .
', 'DescribeEventSubscriptions' => 'Lists all the subscription descriptions for a customer account. The description for a subscription includes SubscriptionName, SNSTopicARN, CustomerID, SourceType, SourceID, CreationTime, and Status.
If you specify a SubscriptionName, lists the description for that subscription.
Returns events related to DB instances, DB clusters, DB parameter groups, DB security groups, DB snapshots, DB cluster snapshots, and RDS Proxies for the past 14 days. Events specific to a particular DB instance, DB cluster, DB parameter group, DB security group, DB snapshot, DB cluster snapshot group, or RDS Proxy can be obtained by providing the name as a parameter.
For more information on working with events, see Monitoring Amazon RDS events in the Amazon RDS User Guide and Monitoring Amazon Aurora events in the Amazon Aurora User Guide.
By default, RDS returns events that were generated in the past hour.
Returns information about a snapshot or cluster export to Amazon S3. This API operation supports pagination.
', 'DescribeGlobalClusters' => 'Returns information about Aurora global database clusters. This API supports pagination.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
This action only applies to Aurora DB clusters.
Describe one or more zero-ETL integrations with Amazon Redshift.
', 'DescribeOptionGroupOptions' => 'Describes all available options for the specified engine.
', 'DescribeOptionGroups' => 'Describes the available option groups.
', 'DescribeOrderableDBInstanceOptions' => 'Describes the orderable DB instance options for a specified DB engine.
', 'DescribePendingMaintenanceActions' => 'Returns a list of resources (for example, DB instances) that have at least one pending maintenance action.
This API follows an eventual consistency model. This means that the result of the DescribePendingMaintenanceActions command might not be immediately visible to all subsequent RDS commands. Keep this in mind when you use DescribePendingMaintenanceActions immediately after using a previous API command such as ApplyPendingMaintenanceActions.
Returns information about reserved DB instances for this account, or about a specified reserved DB instance.
', 'DescribeReservedDBInstancesOfferings' => 'Lists available reserved DB instance offerings.
', 'DescribeSourceRegions' => 'Returns a list of the source Amazon Web Services Regions where the current Amazon Web Services Region can create a read replica, copy a DB snapshot from, or replicate automated backups from.
Use this operation to determine whether cross-Region features are supported between other Regions and your current Region. This operation supports pagination.
To return information about the Regions that are enabled for your account, or all Regions, use the EC2 operation DescribeRegions. For more information, see DescribeRegions in the Amazon EC2 API Reference.
Describes the tenant databases in a DB instance that uses the multi-tenant configuration. Only RDS for Oracle CDB instances are supported.
', 'DescribeValidDBInstanceModifications' => 'You can call DescribeValidDBInstanceModifications to learn what modifications you can make to your DB instance. You can use this information when you call ModifyDBInstance.
This command doesn\'t apply to RDS Custom.
', 'DisableHttpEndpoint' => 'Disables the HTTP endpoint for the specified DB cluster. Disabling this endpoint disables RDS Data API.
For more information, see Using RDS Data API in the Amazon Aurora User Guide.
This operation applies only to Aurora Serverless v2 and provisioned DB clusters. To disable the HTTP endpoint for Aurora Serverless v1 DB clusters, use the EnableHttpEndpoint parameter of the ModifyDBCluster operation.
Downloads all or a portion of the specified log file, up to 1 MB in size.
This command doesn\'t apply to RDS Custom.
', 'EnableHttpEndpoint' => 'Enables the HTTP endpoint for the DB cluster. By default, the HTTP endpoint isn\'t enabled.
When enabled, this endpoint provides a connectionless web service API (RDS Data API) for running SQL queries on the Aurora DB cluster. You can also query your database from inside the RDS console with the RDS query editor.
For more information, see Using RDS Data API in the Amazon Aurora User Guide.
This operation applies only to Aurora Serverless v2 and provisioned DB clusters. To enable the HTTP endpoint for Aurora Serverless v1 DB clusters, use the EnableHttpEndpoint parameter of the ModifyDBCluster operation.
Forces a failover for a DB cluster.
For an Aurora DB cluster, failover for a DB cluster promotes one of the Aurora Replicas (read-only instances) in the DB cluster to be the primary DB instance (the cluster writer).
For a Multi-AZ DB cluster, after RDS terminates the primary DB instance, the internal monitoring system detects that the primary DB instance is unhealthy and promotes a readable standby (read-only instances) in the DB cluster to be the primary DB instance (the cluster writer). Failover times are typically less than 35 seconds.
An Amazon Aurora DB cluster automatically fails over to an Aurora Replica, if one exists, when the primary DB instance fails. A Multi-AZ DB cluster automatically fails over to a readable standby DB instance when the primary DB instance fails.
To simulate a failure of a primary instance for testing, you can force a failover. Because each instance in a DB cluster has its own endpoint address, make sure to clean up and re-establish any existing connections that use those endpoint addresses when the failover is complete.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'FailoverGlobalCluster' => 'Promotes the specified secondary DB cluster to be the primary DB cluster in the global database cluster to fail over or switch over a global database. Switchover operations were previously called "managed planned failovers."
Although this operation can be used either to fail over or to switch over a global database cluster, its intended use is for global database failover. To switch over a global database cluster, we recommend that you use the SwitchoverGlobalCluster operation instead.
How you use this operation depends on whether you are failing over or switching over your global database cluster:
Failing over - Specify the AllowDataLoss parameter and don\'t specify the Switchover parameter.
Switching over - Specify the Switchover parameter or omit it, but don\'t specify the AllowDataLoss parameter.
About failing over and switching over
While failing over and switching over a global database cluster both change the primary DB cluster, you use these operations for different reasons:
Failing over - Use this operation to respond to an unplanned event, such as a Regional disaster in the primary Region. Failing over can result in a loss of write transaction data that wasn\'t replicated to the chosen secondary before the failover event occurred. However, the recovery process that promotes a DB instance on the chosen seconday DB cluster to be the primary writer DB instance guarantees that the data is in a transactionally consistent state.
For more information about failing over an Amazon Aurora global database, see Performing managed failovers for Aurora global databases in the Amazon Aurora User Guide.
Switching over - Use this operation on a healthy global database cluster for planned events, such as Regional rotation or to fail back to the original primary DB cluster after a failover operation. With this operation, there is no data loss.
For more information about switching over an Amazon Aurora global database, see Performing switchovers for Aurora global databases in the Amazon Aurora User Guide.
Lists all tags on an Amazon RDS resource.
For an overview on tagging an Amazon RDS resource, see Tagging Amazon RDS Resources in the Amazon RDS User Guide or Tagging Amazon Aurora and Amazon RDS Resources in the Amazon Aurora User Guide.
', 'ModifyActivityStream' => 'Changes the audit policy state of a database activity stream to either locked (default) or unlocked. A locked policy is read-only, whereas an unlocked policy is read/write. If your activity stream is started and locked, you can unlock it, customize your audit policy, and then lock your activity stream. Restarting the activity stream isn\'t required. For more information, see Modifying a database activity stream in the Amazon RDS User Guide.
This operation is supported for RDS for Oracle and Microsoft SQL Server.
', 'ModifyCertificates' => 'Override the system-default Secure Sockets Layer/Transport Layer Security (SSL/TLS) certificate for Amazon RDS for new DB instances, or remove the override.
By using this operation, you can specify an RDS-approved SSL/TLS certificate for new DB instances that is different from the default certificate provided by RDS. You can also use this operation to remove the override, so that new DB instances use the default certificate provided by RDS.
You might need to override the default certificate in the following situations:
You already migrated your applications to support the latest certificate authority (CA) certificate, but the new CA certificate is not yet the RDS default CA certificate for the specified Amazon Web Services Region.
RDS has already moved to a new default CA certificate for the specified Amazon Web Services Region, but you are still in the process of supporting the new CA certificate. In this case, you temporarily need additional time to finish your application changes.
For more information about rotating your SSL/TLS certificate for RDS DB engines, see Rotating Your SSL/TLS Certificate in the Amazon RDS User Guide.
For more information about rotating your SSL/TLS certificate for Aurora DB engines, see Rotating Your SSL/TLS Certificate in the Amazon Aurora User Guide.
', 'ModifyCurrentDBClusterCapacity' => 'Set the capacity of an Aurora Serverless v1 DB cluster to a specific value.
Aurora Serverless v1 scales seamlessly based on the workload on the DB cluster. In some cases, the capacity might not scale fast enough to meet a sudden change in workload, such as a large number of new transactions. Call ModifyCurrentDBClusterCapacity to set the capacity explicitly.
After this call sets the DB cluster capacity, Aurora Serverless v1 can automatically scale the DB cluster based on the cooldown period for scaling up and the cooldown period for scaling down.
For more information about Aurora Serverless v1, see Using Amazon Aurora Serverless v1 in the Amazon Aurora User Guide.
If you call ModifyCurrentDBClusterCapacity with the default TimeoutAction, connections that prevent Aurora Serverless v1 from finding a scaling point might be dropped. For more information about scaling points, see Autoscaling for Aurora Serverless v1 in the Amazon Aurora User Guide.
This operation only applies to Aurora Serverless v1 DB clusters.
Modifies the status of a custom engine version (CEV). You can find CEVs to modify by calling DescribeDBEngineVersions.
The MediaImport service that imports files from Amazon S3 to create CEVs isn\'t integrated with Amazon Web Services CloudTrail. If you turn on data logging for Amazon RDS in CloudTrail, calls to the ModifyCustomDbEngineVersion event aren\'t logged. However, you might see calls from the API gateway that accesses your Amazon S3 bucket. These calls originate from the MediaImport service for the ModifyCustomDbEngineVersion event.
For more information, see Modifying CEV status in the Amazon RDS User Guide.
', 'ModifyDBCluster' => 'Modifies the settings of an Amazon Aurora DB cluster or a Multi-AZ DB cluster. You can change one or more settings by specifying these parameters and the new values in the request.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'ModifyDBClusterEndpoint' => 'Modifies the properties of an endpoint in an Amazon Aurora DB cluster.
This operation only applies to Aurora DB clusters.
Modifies the parameters of a DB cluster parameter group. To modify more than one parameter, submit a list of the following: ParameterName, ParameterValue, and ApplyMethod. A maximum of 20 parameters can be modified in a single request.
After you create a DB cluster parameter group, you should wait at least 5 minutes before creating your first DB cluster that uses that DB cluster parameter group as the default parameter group. This allows Amazon RDS to fully complete the create operation before the parameter group is used as the default for a new DB cluster. This is especially important for parameters that are critical when creating the default database for a DB cluster, such as the character set for the default database defined by the character_set_database parameter. You can use the Parameter Groups option of the Amazon RDS console or the DescribeDBClusterParameters operation to verify that your DB cluster parameter group has been created or modified.
If the modified DB cluster parameter group is used by an Aurora Serverless v1 cluster, Aurora applies the update immediately. The cluster restart might interrupt your workload. In that case, your application must reopen any connections and retry any transactions that were active when the parameter changes took effect.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'ModifyDBClusterSnapshotAttribute' => 'Adds an attribute and values to, or removes an attribute and values from, a manual DB cluster snapshot.
To share a manual DB cluster snapshot with other Amazon Web Services accounts, specify restore as the AttributeName and use the ValuesToAdd parameter to add a list of IDs of the Amazon Web Services accounts that are authorized to restore the manual DB cluster snapshot. Use the value all to make the manual DB cluster snapshot public, which means that it can be copied or restored by all Amazon Web Services accounts.
Don\'t add the all value for any manual DB cluster snapshots that contain private information that you don\'t want available to all Amazon Web Services accounts.
If a manual DB cluster snapshot is encrypted, it can be shared, but only by specifying a list of authorized Amazon Web Services account IDs for the ValuesToAdd parameter. You can\'t use all as a value for that parameter in this case.
To view which Amazon Web Services accounts have access to copy or restore a manual DB cluster snapshot, or whether a manual DB cluster snapshot is public or private, use the DescribeDBClusterSnapshotAttributes API operation. The accounts are returned as values for the restore attribute.
Modifies settings for a DB instance. You can change one or more database configuration parameters by specifying these parameters and the new values in the request. To learn what modifications you can make to your DB instance, call DescribeValidDBInstanceModifications before you call ModifyDBInstance.
Modifies the parameters of a DB parameter group. To modify more than one parameter, submit a list of the following: ParameterName, ParameterValue, and ApplyMethod. A maximum of 20 parameters can be modified in a single request.
After you modify a DB parameter group, you should wait at least 5 minutes before creating your first DB instance that uses that DB parameter group as the default parameter group. This allows Amazon RDS to fully complete the modify operation before the parameter group is used as the default for a new DB instance. This is especially important for parameters that are critical when creating the default database for a DB instance, such as the character set for the default database defined by the character_set_database parameter. You can use the Parameter Groups option of the Amazon RDS console or the DescribeDBParameters command to verify that your DB parameter group has been created or modified.
Changes the settings for an existing DB proxy.
', 'ModifyDBProxyEndpoint' => 'Changes the settings for an existing DB proxy endpoint.
', 'ModifyDBProxyTargetGroup' => 'Modifies the properties of a DBProxyTargetGroup.
Updates the recommendation status and recommended action status for the specified recommendation.
', 'ModifyDBShardGroup' => 'Modifies the settings of an Aurora Limitless Database DB shard group. You can change one or more settings by specifying these parameters and the new values in the request.
', 'ModifyDBSnapshot' => 'Updates a manual DB snapshot with a new engine version. The snapshot can be encrypted or unencrypted, but not shared or public.
Amazon RDS supports upgrading DB snapshots for MySQL, PostgreSQL, and Oracle. This operation doesn\'t apply to RDS Custom or RDS for Db2.
', 'ModifyDBSnapshotAttribute' => 'Adds an attribute and values to, or removes an attribute and values from, a manual DB snapshot.
To share a manual DB snapshot with other Amazon Web Services accounts, specify restore as the AttributeName and use the ValuesToAdd parameter to add a list of IDs of the Amazon Web Services accounts that are authorized to restore the manual DB snapshot. Uses the value all to make the manual DB snapshot public, which means it can be copied or restored by all Amazon Web Services accounts.
Don\'t add the all value for any manual DB snapshots that contain private information that you don\'t want available to all Amazon Web Services accounts.
If the manual DB snapshot is encrypted, it can be shared, but only by specifying a list of authorized Amazon Web Services account IDs for the ValuesToAdd parameter. You can\'t use all as a value for that parameter in this case.
To view which Amazon Web Services accounts have access to copy or restore a manual DB snapshot, or whether a manual DB snapshot public or private, use the DescribeDBSnapshotAttributes API operation. The accounts are returned as values for the restore attribute.
Modifies an existing DB subnet group. DB subnet groups must contain at least one subnet in at least two AZs in the Amazon Web Services Region.
', 'ModifyEventSubscription' => 'Modifies an existing RDS event notification subscription. You can\'t modify the source identifiers using this call. To change source identifiers for a subscription, use the AddSourceIdentifierToSubscription and RemoveSourceIdentifierFromSubscription calls.
You can see a list of the event categories for a given source type (SourceType) in Events in the Amazon RDS User Guide or by using the DescribeEventCategories operation.
Modifies a setting for an Amazon Aurora global database cluster. You can change one or more database configuration parameters by specifying these parameters and the new values in the request. For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
This operation only applies to Aurora global database clusters.
Modifies a zero-ETL integration with Amazon Redshift.
Currently, you can only modify integrations that have Aurora MySQL source DB clusters. Integrations with Aurora PostgreSQL and RDS sources currently don\'t support modifying the integration.
Modifies an existing option group.
', 'ModifyTenantDatabase' => 'Modifies an existing tenant database in a DB instance. You can change the tenant database name or the master user password. This operation is supported only for RDS for Oracle CDB instances using the multi-tenant configuration.
', 'PromoteReadReplica' => 'Promotes a read replica DB instance to a standalone DB instance.
Backup duration is a function of the amount of changes to the database since the previous backup. If you plan to promote a read replica to a standalone instance, we recommend that you enable backups and complete at least one backup prior to promotion. In addition, a read replica cannot be promoted to a standalone instance when it is in the backing-up status. If you have enabled backups on your read replica, configure the automated backup window so that daily backups do not interfere with read replica promotion.
This command doesn\'t apply to Aurora MySQL, Aurora PostgreSQL, or RDS Custom.
Promotes a read replica DB cluster to a standalone DB cluster.
', 'PurchaseReservedDBInstancesOffering' => 'Purchases a reserved DB instance offering.
', 'RebootDBCluster' => 'You might need to reboot your DB cluster, usually for maintenance reasons. For example, if you make certain modifications, or if you change the DB cluster parameter group associated with the DB cluster, reboot the DB cluster for the changes to take effect.
Rebooting a DB cluster restarts the database engine service. Rebooting a DB cluster results in a momentary outage, during which the DB cluster status is set to rebooting.
Use this operation only for a non-Aurora Multi-AZ DB cluster.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'RebootDBInstance' => 'You might need to reboot your DB instance, usually for maintenance reasons. For example, if you make certain modifications, or if you change the DB parameter group associated with the DB instance, you must reboot the instance for the changes to take effect.
Rebooting a DB instance restarts the database engine service. Rebooting a DB instance results in a momentary outage, during which the DB instance status is set to rebooting.
For more information about rebooting, see Rebooting a DB Instance in the Amazon RDS User Guide.
This command doesn\'t apply to RDS Custom.
If your DB instance is part of a Multi-AZ DB cluster, you can reboot the DB cluster with the RebootDBCluster operation.
You might need to reboot your DB shard group, usually for maintenance reasons. For example, if you make certain modifications, reboot the DB shard group for the changes to take effect.
This operation applies only to Aurora Limitless Database DBb shard groups.
', 'RegisterDBProxyTargets' => 'Associate one or more DBProxyTarget data structures with a DBProxyTargetGroup.
Detaches an Aurora secondary cluster from an Aurora global database cluster. The cluster becomes a standalone cluster with read-write capability instead of being read-only and receiving data from a primary cluster in a different Region.
This operation only applies to Aurora DB clusters.
Removes the asssociation of an Amazon Web Services Identity and Access Management (IAM) role from a DB cluster.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'RemoveRoleFromDBInstance' => 'Disassociates an Amazon Web Services Identity and Access Management (IAM) role from a DB instance.
', 'RemoveSourceIdentifierFromSubscription' => 'Removes a source identifier from an existing RDS event notification subscription.
', 'RemoveTagsFromResource' => 'Removes metadata tags from an Amazon RDS resource.
For an overview on tagging an Amazon RDS resource, see Tagging Amazon RDS Resources in the Amazon RDS User Guide or Tagging Amazon Aurora and Amazon RDS Resources in the Amazon Aurora User Guide.
', 'ResetDBClusterParameterGroup' => 'Modifies the parameters of a DB cluster parameter group to the default value. To reset specific parameters submit a list of the following: ParameterName and ApplyMethod. To reset the entire DB cluster parameter group, specify the DBClusterParameterGroupName and ResetAllParameters parameters.
When resetting the entire group, dynamic parameters are updated immediately and static parameters are set to pending-reboot to take effect on the next DB instance restart or RebootDBInstance request. You must call RebootDBInstance for every DB instance in your DB cluster that you want the updated static parameter to apply to.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'ResetDBParameterGroup' => 'Modifies the parameters of a DB parameter group to the engine/system default value. To reset specific parameters, provide a list of the following: ParameterName and ApplyMethod. To reset the entire DB parameter group, specify the DBParameterGroup name and ResetAllParameters parameters. When resetting the entire group, dynamic parameters are updated immediately and static parameters are set to pending-reboot to take effect on the next DB instance restart or RebootDBInstance request.
Creates an Amazon Aurora DB cluster from MySQL data stored in an Amazon S3 bucket. Amazon RDS must be authorized to access the Amazon S3 bucket and the data must be created using the Percona XtraBackup utility as described in Migrating Data from MySQL by Using an Amazon S3 Bucket in the Amazon Aurora User Guide.
This operation only restores the DB cluster, not the DB instances for that DB cluster. You must invoke the CreateDBInstance operation to create DB instances for the restored DB cluster, specifying the identifier of the restored DB cluster in DBClusterIdentifier. You can create DB instances only after the RestoreDBClusterFromS3 operation has completed and the DB cluster is available.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
This operation only applies to Aurora DB clusters. The source DB engine must be MySQL.
Creates a new DB cluster from a DB snapshot or DB cluster snapshot.
The target DB cluster is created from the source snapshot with a default configuration. If you don\'t specify a security group, the new DB cluster is associated with the default security group.
This operation only restores the DB cluster, not the DB instances for that DB cluster. You must invoke the CreateDBInstance operation to create DB instances for the restored DB cluster, specifying the identifier of the restored DB cluster in DBClusterIdentifier. You can create DB instances only after the RestoreDBClusterFromSnapshot operation has completed and the DB cluster is available.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'RestoreDBClusterToPointInTime' => 'Restores a DB cluster to an arbitrary point in time. Users can restore to any point in time before LatestRestorableTime for up to BackupRetentionPeriod days. The target DB cluster is created from the source DB cluster with the same configuration as the original DB cluster, except that the new DB cluster is created with the default DB security group.
For Aurora, this operation only restores the DB cluster, not the DB instances for that DB cluster. You must invoke the CreateDBInstance operation to create DB instances for the restored DB cluster, specifying the identifier of the restored DB cluster in DBClusterIdentifier. You can create DB instances only after the RestoreDBClusterToPointInTime operation has completed and the DB cluster is available.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromDBSnapshot' => 'Creates a new DB instance from a DB snapshot. The target database is created from the source database restore point with most of the source\'s original configuration, including the default security group and DB parameter group. By default, the new DB instance is created as a Single-AZ deployment, except when the instance is a SQL Server instance that has an option group associated with mirroring. In this case, the instance becomes a Multi-AZ deployment, not a Single-AZ deployment.
If you want to replace your original DB instance with the new, restored DB instance, then rename your original DB instance before you call the RestoreDBInstanceFromDBSnapshot operation. RDS doesn\'t allow two DB instances with the same name. After you have renamed your original DB instance with a different identifier, then you can pass the original name of the DB instance as the DBInstanceIdentifier in the call to the RestoreDBInstanceFromDBSnapshot operation. The result is that you replace the original DB instance with the DB instance created from the snapshot.
If you are restoring from a shared manual DB snapshot, the DBSnapshotIdentifier must be the ARN of the shared DB snapshot.
To restore from a DB snapshot with an unsupported engine version, you must first upgrade the engine version of the snapshot. For more information about upgrading a RDS for MySQL DB snapshot engine version, see Upgrading a MySQL DB snapshot engine version. For more information about upgrading a RDS for PostgreSQL DB snapshot engine version, Upgrading a PostgreSQL DB snapshot engine version.
This command doesn\'t apply to Aurora MySQL and Aurora PostgreSQL. For Aurora, use RestoreDBClusterFromSnapshot.
Amazon Relational Database Service (Amazon RDS) supports importing MySQL databases by using backup files. You can create a backup of your on-premises database, store it on Amazon Simple Storage Service (Amazon S3), and then restore the backup file onto a new Amazon RDS DB instance running MySQL. For more information, see Importing Data into an Amazon RDS MySQL DB Instance in the Amazon RDS User Guide.
This operation doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceToPointInTime' => 'Restores a DB instance to an arbitrary point in time. You can restore to any point in time before the time identified by the LatestRestorableTime property. You can restore to a point up to the number of days specified by the BackupRetentionPeriod property.
The target database is created with most of the original configuration, but in a system-selected Availability Zone, with the default security group, the default subnet group, and the default DB parameter group. By default, the new DB instance is created as a single-AZ deployment except when the instance is a SQL Server instance that has an option group that is associated with mirroring; in this case, the instance becomes a mirrored deployment and not a single-AZ deployment.
This operation doesn\'t apply to Aurora MySQL and Aurora PostgreSQL. For Aurora, use RestoreDBClusterToPointInTime.
Revokes ingress from a DBSecurityGroup for previously authorized IP ranges or EC2 or VPC security groups. Required parameters for this API are one of CIDRIP, EC2SecurityGroupId for VPC, or (EC2SecurityGroupOwnerId and either EC2SecurityGroupName or EC2SecurityGroupId).
EC2-Classic was retired on August 15, 2022. If you haven\'t migrated from EC2-Classic to a VPC, we recommend that you migrate as soon as possible. For more information, see Migrate from EC2-Classic to a VPC in the Amazon EC2 User Guide, the blog EC2-Classic Networking is Retiring – Here’s How to Prepare, and Moving a DB instance not in a VPC into a VPC in the Amazon RDS User Guide.
Starts a database activity stream to monitor activity on the database. For more information, see Monitoring Amazon Aurora with Database Activity Streams in the Amazon Aurora User Guide or Monitoring Amazon RDS with Database Activity Streams in the Amazon RDS User Guide.
', 'StartDBCluster' => 'Starts an Amazon Aurora DB cluster that was stopped using the Amazon Web Services console, the stop-db-cluster CLI command, or the StopDBCluster operation.
For more information, see Stopping and Starting an Aurora Cluster in the Amazon Aurora User Guide.
This operation only applies to Aurora DB clusters.
Starts an Amazon RDS DB instance that was stopped using the Amazon Web Services console, the stop-db-instance CLI command, or the StopDBInstance operation.
For more information, see Starting an Amazon RDS DB instance That Was Previously Stopped in the Amazon RDS User Guide.
This command doesn\'t apply to RDS Custom, Aurora MySQL, and Aurora PostgreSQL. For Aurora DB clusters, use StartDBCluster instead.
Enables replication of automated backups to a different Amazon Web Services Region.
This command doesn\'t apply to RDS Custom.
For more information, see Replicating Automated Backups to Another Amazon Web Services Region in the Amazon RDS User Guide.
', 'StartExportTask' => 'Starts an export of DB snapshot or DB cluster data to Amazon S3. The provided IAM role must have access to the S3 bucket.
You can\'t export snapshot data from Db2 or RDS Custom DB instances.
For more information on exporting DB snapshot data, see Exporting DB snapshot data to Amazon S3 in the Amazon RDS User Guide or Exporting DB cluster snapshot data to Amazon S3 in the Amazon Aurora User Guide.
For more information on exporting DB cluster data, see Exporting DB cluster data to Amazon S3 in the Amazon Aurora User Guide.
', 'StopActivityStream' => 'Stops a database activity stream that was started using the Amazon Web Services console, the start-activity-stream CLI command, or the StartActivityStream operation.
For more information, see Monitoring Amazon Aurora with Database Activity Streams in the Amazon Aurora User Guide or Monitoring Amazon RDS with Database Activity Streams in the Amazon RDS User Guide.
', 'StopDBCluster' => 'Stops an Amazon Aurora DB cluster. When you stop a DB cluster, Aurora retains the DB cluster\'s metadata, including its endpoints and DB parameter groups. Aurora also retains the transaction logs so you can do a point-in-time restore if necessary.
For more information, see Stopping and Starting an Aurora Cluster in the Amazon Aurora User Guide.
This operation only applies to Aurora DB clusters.
Stops an Amazon RDS DB instance. When you stop a DB instance, Amazon RDS retains the DB instance\'s metadata, including its endpoint, DB parameter group, and option group membership. Amazon RDS also retains the transaction logs so you can do a point-in-time restore if necessary.
For more information, see Stopping an Amazon RDS DB Instance Temporarily in the Amazon RDS User Guide.
This command doesn\'t apply to RDS Custom, Aurora MySQL, and Aurora PostgreSQL. For Aurora clusters, use StopDBCluster instead.
Stops automated backup replication for a DB instance.
This command doesn\'t apply to RDS Custom, Aurora MySQL, and Aurora PostgreSQL.
For more information, see Replicating Automated Backups to Another Amazon Web Services Region in the Amazon RDS User Guide.
', 'SwitchoverBlueGreenDeployment' => 'Switches over a blue/green deployment.
Before you switch over, production traffic is routed to the databases in the blue environment. After you switch over, production traffic is routed to the databases in the green environment.
For more information, see Using Amazon RDS Blue/Green Deployments for database updates in the Amazon RDS User Guide and Using Amazon RDS Blue/Green Deployments for database updates in the Amazon Aurora User Guide.
', 'SwitchoverGlobalCluster' => 'Switches over the specified secondary DB cluster to be the new primary DB cluster in the global database cluster. Switchover operations were previously called "managed planned failovers."
Aurora promotes the specified secondary cluster to assume full read/write capabilities and demotes the current primary cluster to a secondary (read-only) cluster, maintaining the orginal replication topology. All secondary clusters are synchronized with the primary at the beginning of the process so the new primary continues operations for the Aurora global database without losing any data. Your database is unavailable for a short time while the primary and selected secondary clusters are assuming their new roles. For more information about switching over an Aurora global database, see Performing switchovers for Amazon Aurora global databases in the Amazon Aurora User Guide.
This operation is intended for controlled environments, for operations such as "regional rotation" or to fall back to the original primary after a global database failover.
Switches over an Oracle standby database in an Oracle Data Guard environment, making it the new primary database. Issue this command in the Region that hosts the current standby database.
', ], 'shapes' => [ 'AccountAttributesMessage' => [ 'base' => 'Data returned by the DescribeAccountAttributes action.
', 'refs' => [], ], 'AccountQuota' => [ 'base' => 'Describes a quota for an Amazon Web Services account.
The following are account quotas:
AllocatedStorage - The total allocated storage per account, in GiB. The used value is the total allocated storage in the account, in GiB.
AuthorizationsPerDBSecurityGroup - The number of ingress rules per DB security group. The used value is the highest number of ingress rules in a DB security group in the account. Other DB security groups in the account might have a lower number of ingress rules.
CustomEndpointsPerDBCluster - The number of custom endpoints per DB cluster. The used value is the highest number of custom endpoints in a DB clusters in the account. Other DB clusters in the account might have a lower number of custom endpoints.
DBClusterParameterGroups - The number of DB cluster parameter groups per account, excluding default parameter groups. The used value is the count of nondefault DB cluster parameter groups in the account.
DBClusterRoles - The number of associated Amazon Web Services Identity and Access Management (IAM) roles per DB cluster. The used value is the highest number of associated IAM roles for a DB cluster in the account. Other DB clusters in the account might have a lower number of associated IAM roles.
DBClusters - The number of DB clusters per account. The used value is the count of DB clusters in the account.
DBInstanceRoles - The number of associated IAM roles per DB instance. The used value is the highest number of associated IAM roles for a DB instance in the account. Other DB instances in the account might have a lower number of associated IAM roles.
DBInstances - The number of DB instances per account. The used value is the count of the DB instances in the account.
Amazon RDS DB instances, Amazon Aurora DB instances, Amazon Neptune instances, and Amazon DocumentDB instances apply to this quota.
DBParameterGroups - The number of DB parameter groups per account, excluding default parameter groups. The used value is the count of nondefault DB parameter groups in the account.
DBSecurityGroups - The number of DB security groups (not VPC security groups) per account, excluding the default security group. The used value is the count of nondefault DB security groups in the account.
DBSubnetGroups - The number of DB subnet groups per account. The used value is the count of the DB subnet groups in the account.
EventSubscriptions - The number of event subscriptions per account. The used value is the count of the event subscriptions in the account.
ManualClusterSnapshots - The number of manual DB cluster snapshots per account. The used value is the count of the manual DB cluster snapshots in the account.
ManualSnapshots - The number of manual DB instance snapshots per account. The used value is the count of the manual DB instance snapshots in the account.
OptionGroups - The number of DB option groups per account, excluding default option groups. The used value is the count of nondefault DB option groups in the account.
ReadReplicasPerMaster - The number of read replicas per DB instance. The used value is the highest number of read replicas for a DB instance in the account. Other DB instances in the account might have a lower number of read replicas.
ReservedDBInstances - The number of reserved DB instances per account. The used value is the count of the active reserved DB instances in the account.
SubnetsPerDBSubnetGroup - The number of subnets per DB subnet group. The used value is highest number of subnets for a DB subnet group in the account. Other DB subnet groups in the account might have a lower number of subnets.
For more information, see Quotas for Amazon RDS in the Amazon RDS User Guide and Quotas for Amazon Aurora in the Amazon Aurora User Guide.
', 'refs' => [ 'AccountQuotaList$member' => NULL, ], ], 'AccountQuotaList' => [ 'base' => NULL, 'refs' => [ 'AccountAttributesMessage$AccountQuotas' => 'A list of AccountQuota objects. Within this list, each quota has a name, a count of usage toward the quota maximum, and a maximum value for the quota.
The mode of the database activity stream. Database events such as a change or access generate an activity stream event. The database session can handle these events either synchronously or asynchronously.
', 'DBInstance$ActivityStreamMode' => 'The mode of the database activity stream. Database events such as a change or access generate an activity stream event. RDS for Oracle always handles these events asynchronously.
', 'ModifyActivityStreamResponse$Mode' => 'The mode of the database activity stream.
', 'StartActivityStreamRequest$Mode' => 'Specifies the mode of the database activity stream. Database events such as a change or access generate an activity stream event. The database session can handle these events either synchronously or asynchronously.
', 'StartActivityStreamResponse$Mode' => 'The mode of the database activity stream.
', ], ], 'ActivityStreamModeList' => [ 'base' => NULL, 'refs' => [ 'OrderableDBInstanceOption$SupportedActivityStreamModes' => 'The list of supported modes for Database Activity Streams. Aurora PostgreSQL returns the value [sync, async]. Aurora MySQL and RDS for Oracle return [async] only. If Database Activity Streams isn\'t supported, the return value is an empty list.
The status of the policy state of the activity stream.
', 'ModifyActivityStreamResponse$PolicyStatus' => 'The status of the modification to the policy state of the database activity stream.
', ], ], 'ActivityStreamStatus' => [ 'base' => NULL, 'refs' => [ 'DBCluster$ActivityStreamStatus' => 'The status of the database activity stream.
', 'DBInstance$ActivityStreamStatus' => 'The status of the database activity stream.
', 'ModifyActivityStreamResponse$Status' => 'The status of the modification to the database activity stream.
', 'StartActivityStreamResponse$Status' => 'The status of the database activity stream.
', 'StopActivityStreamResponse$Status' => 'The status of the database activity stream.
', ], ], 'AddRoleToDBClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'AddRoleToDBInstanceMessage' => [ 'base' => NULL, 'refs' => [], ], 'AddSourceIdentifierToSubscriptionMessage' => [ 'base' => '', 'refs' => [], ], 'AddSourceIdentifierToSubscriptionResult' => [ 'base' => NULL, 'refs' => [], ], 'AddTagsToResourceMessage' => [ 'base' => '', 'refs' => [], ], 'ApplyMethod' => [ 'base' => NULL, 'refs' => [ 'Parameter$ApplyMethod' => 'Indicates when to apply parameter updates.
', ], ], 'ApplyPendingMaintenanceActionMessage' => [ 'base' => '', 'refs' => [], ], 'ApplyPendingMaintenanceActionResult' => [ 'base' => NULL, 'refs' => [], ], 'Arn' => [ 'base' => NULL, 'refs' => [ 'CreateIntegrationMessage$TargetArn' => 'The ARN of the Redshift data warehouse to use as the target for replication.
', 'Integration$TargetArn' => 'The ARN of the Redshift data warehouse used as the target for replication.
', ], ], 'AttributeValueList' => [ 'base' => NULL, 'refs' => [ 'DBClusterSnapshotAttribute$AttributeValues' => 'The value(s) for the manual DB cluster snapshot attribute.
If the AttributeName field is set to restore, then this element returns a list of IDs of the Amazon Web Services accounts that are authorized to copy or restore the manual DB cluster snapshot. If a value of all is in the list, then the manual DB cluster snapshot is public and available for any Amazon Web Services account to copy or restore.
The value or values for the manual DB snapshot attribute.
If the AttributeName field is set to restore, then this element returns a list of IDs of the Amazon Web Services accounts that are authorized to copy or restore the manual DB snapshot. If a value of all is in the list, then the manual DB snapshot is public and available for any Amazon Web Services account to copy or restore.
A list of DB cluster snapshot attributes to add to the attribute specified by AttributeName.
To authorize other Amazon Web Services accounts to copy or restore a manual DB cluster snapshot, set this list to include one or more Amazon Web Services account IDs, or all to make the manual DB cluster snapshot restorable by any Amazon Web Services account. Do not add the all value for any manual DB cluster snapshots that contain private information that you don\'t want available to all Amazon Web Services accounts.
A list of DB cluster snapshot attributes to remove from the attribute specified by AttributeName.
To remove authorization for other Amazon Web Services accounts to copy or restore a manual DB cluster snapshot, set this list to include one or more Amazon Web Services account identifiers, or all to remove authorization for any Amazon Web Services account to copy or restore the DB cluster snapshot. If you specify all, an Amazon Web Services account whose account ID is explicitly added to the restore attribute can still copy or restore a manual DB cluster snapshot.
A list of DB snapshot attributes to add to the attribute specified by AttributeName.
To authorize other Amazon Web Services accounts to copy or restore a manual snapshot, set this list to include one or more Amazon Web Services account IDs, or all to make the manual DB snapshot restorable by any Amazon Web Services account. Do not add the all value for any manual DB snapshots that contain private information that you don\'t want available to all Amazon Web Services accounts.
A list of DB snapshot attributes to remove from the attribute specified by AttributeName.
To remove authorization for other Amazon Web Services accounts to copy or restore a manual snapshot, set this list to include one or more Amazon Web Services account identifiers, or all to remove authorization for any Amazon Web Services account to copy or restore the DB snapshot. If you specify all, an Amazon Web Services account whose account ID is explicitly added to the restore attribute can still copy or restore the manual DB snapshot.
The audit policy state. When a policy is unlocked, it is read/write. When it is locked, it is read-only. You can edit your audit policy only when the activity stream is unlocked or stopped.
', ], ], 'AuthScheme' => [ 'base' => NULL, 'refs' => [ 'UserAuthConfig$AuthScheme' => 'The type of authentication that the proxy uses for connections from the proxy to the underlying database.
', 'UserAuthConfigInfo$AuthScheme' => 'The type of authentication that the proxy uses for connections from the proxy to the underlying database.
', ], ], 'AuthorizationAlreadyExistsFault' => [ 'base' => 'The specified CIDR IP range or Amazon EC2 security group is already authorized for the specified DB security group.
', 'refs' => [], ], 'AuthorizationNotFoundFault' => [ 'base' => 'The specified CIDR IP range or Amazon EC2 security group might not be authorized for the specified DB security group.
Or, RDS might not be authorized to perform necessary actions using IAM on your behalf.
', 'refs' => [], ], 'AuthorizationQuotaExceededFault' => [ 'base' => 'The DB security group authorization quota has been reached.
', 'refs' => [], ], 'AuthorizeDBSecurityGroupIngressMessage' => [ 'base' => '', 'refs' => [], ], 'AuthorizeDBSecurityGroupIngressResult' => [ 'base' => NULL, 'refs' => [], ], 'AutomationMode' => [ 'base' => NULL, 'refs' => [ 'DBInstance$AutomationMode' => 'The automation mode of the RDS Custom DB instance: full or all paused. If full, the DB instance automates monitoring and instance recovery. If all paused, the instance pauses automation for the duration set by --resume-full-automation-mode-minutes.
The automation mode of the RDS Custom DB instance. If full, the DB instance automates monitoring and instance recovery. If all paused, the instance pauses automation for the duration set by ResumeFullAutomationModeMinutes.
The automation mode of the RDS Custom DB instance: full or all-paused. If full, the DB instance automates monitoring and instance recovery. If all-paused, the instance pauses automation for the duration set by --resume-full-automation-mode-minutes.
Contains Availability Zone information.
This data type is used as an element in the OrderableDBInstanceOption data type.
A list of Availability Zones for a DB instance.
', ], ], 'AvailabilityZones' => [ 'base' => NULL, 'refs' => [ 'CreateDBClusterMessage$AvailabilityZones' => 'A list of Availability Zones (AZs) where you specifically want to create DB instances in the DB cluster.
For information on AZs, see Availability Zones in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters only
Constraints:
Can\'t specify more than three AZs.
The list of Availability Zones (AZs) where instances in the DB cluster can be created.
', 'DBClusterAutomatedBackup$AvailabilityZones' => 'The Availability Zones where instances in the DB cluster can be created. For information on Amazon Web Services Regions and Availability Zones, see Regions and Availability Zones.
', 'DBClusterSnapshot$AvailabilityZones' => 'The list of Availability Zones (AZs) where instances in the DB cluster snapshot can be restored.
', 'RestoreDBClusterFromS3Message$AvailabilityZones' => 'A list of Availability Zones (AZs) where instances in the restored DB cluster can be created.
', 'RestoreDBClusterFromSnapshotMessage$AvailabilityZones' => 'Provides the list of Availability Zones (AZs) where instances in the restored DB cluster can be created.
Valid for: Aurora DB clusters only
', ], ], 'AvailableProcessorFeature' => [ 'base' => 'Contains the available processor feature information for the DB instance class of a DB instance.
For more information, see Configuring the Processor of the DB Instance Class in the Amazon RDS User Guide.
', 'refs' => [ 'AvailableProcessorFeatureList$member' => NULL, ], ], 'AvailableProcessorFeatureList' => [ 'base' => NULL, 'refs' => [ 'OrderableDBInstanceOption$AvailableProcessorFeatures' => 'A list of the available processor features for the DB instance class of a DB instance.
', 'ValidDBInstanceModificationsMessage$ValidProcessorFeatures' => 'Valid processor features for your DB instance.
', ], ], 'AwsBackupRecoveryPointArn' => [ 'base' => NULL, 'refs' => [ 'ModifyDBClusterMessage$AwsBackupRecoveryPointArn' => 'The Amazon Resource Name (ARN) of the recovery point in Amazon Web Services Backup.
', 'ModifyDBInstanceMessage$AwsBackupRecoveryPointArn' => 'The Amazon Resource Name (ARN) of the recovery point in Amazon Web Services Backup.
This setting doesn\'t apply to RDS Custom DB instances.
', ], ], 'BacktrackDBClusterMessage' => [ 'base' => '', 'refs' => [], ], 'BackupPolicyNotFoundFault' => [ 'base' => NULL, 'refs' => [], ], 'BlueGreenDeployment' => [ 'base' => 'Details about a blue/green deployment.
For more information, see Using Amazon RDS Blue/Green Deployments for database updates in the Amazon RDS User Guide and Using Amazon RDS Blue/Green Deployments for database updates in the Amazon Aurora User Guide.
', 'refs' => [ 'BlueGreenDeploymentList$member' => NULL, 'CreateBlueGreenDeploymentResponse$BlueGreenDeployment' => NULL, 'DeleteBlueGreenDeploymentResponse$BlueGreenDeployment' => NULL, 'SwitchoverBlueGreenDeploymentResponse$BlueGreenDeployment' => NULL, ], ], 'BlueGreenDeploymentAlreadyExistsFault' => [ 'base' => 'A blue/green deployment with the specified name already exists.
', 'refs' => [], ], 'BlueGreenDeploymentIdentifier' => [ 'base' => NULL, 'refs' => [ 'BlueGreenDeployment$BlueGreenDeploymentIdentifier' => 'The unique identifier of the blue/green deployment.
', 'DeleteBlueGreenDeploymentRequest$BlueGreenDeploymentIdentifier' => 'The unique identifier of the blue/green deployment to delete. This parameter isn\'t case-sensitive.
Constraints:
Must match an existing blue/green deployment identifier.
The blue/green deployment identifier. If you specify this parameter, the response only includes information about the specific blue/green deployment. This parameter isn\'t case-sensitive.
Constraints:
Must match an existing blue/green deployment identifier.
The resource ID of the blue/green deployment.
Constraints:
Must match an existing blue/green deployment resource ID.
A list of blue/green deployments in the current account and Amazon Web Services Region.
', ], ], 'BlueGreenDeploymentName' => [ 'base' => NULL, 'refs' => [ 'BlueGreenDeployment$BlueGreenDeploymentName' => 'The user-supplied name of the blue/green deployment.
', 'CreateBlueGreenDeploymentRequest$BlueGreenDeploymentName' => 'The name of the blue/green deployment.
Constraints:
Can\'t be the same as an existing blue/green deployment name in the same account and Amazon Web Services Region.
BlueGreenDeploymentIdentifier doesn\'t refer to an existing blue/green deployment.
The status of the blue/green deployment.
Valid Values:
PROVISIONING - Resources are being created in the green environment.
AVAILABLE - Resources are available in the green environment.
SWITCHOVER_IN_PROGRESS - The deployment is being switched from the blue environment to the green environment.
SWITCHOVER_COMPLETED - Switchover from the blue environment to the green environment is complete.
INVALID_CONFIGURATION - Resources in the green environment are invalid, so switchover isn\'t possible.
SWITCHOVER_FAILED - Switchover was attempted but failed.
DELETING - The blue/green deployment is being deleted.
Additional information about the status of the blue/green deployment.
', ], ], 'BlueGreenDeploymentTask' => [ 'base' => 'Details about a task for a blue/green deployment.
For more information, see Using Amazon RDS Blue/Green Deployments for database updates in the Amazon RDS User Guide and Using Amazon RDS Blue/Green Deployments for database updates in the Amazon Aurora User Guide.
', 'refs' => [ 'BlueGreenDeploymentTaskList$member' => NULL, ], ], 'BlueGreenDeploymentTaskList' => [ 'base' => NULL, 'refs' => [ 'BlueGreenDeployment$Tasks' => 'Either tasks to be performed or tasks that have been completed on the target database before switchover.
', ], ], 'BlueGreenDeploymentTaskName' => [ 'base' => NULL, 'refs' => [ 'BlueGreenDeploymentTask$Name' => 'The name of the blue/green deployment task.
', ], ], 'BlueGreenDeploymentTaskStatus' => [ 'base' => NULL, 'refs' => [ 'BlueGreenDeploymentTask$Status' => 'The status of the blue/green deployment task.
Valid Values:
PENDING - The resource is being prepared for deployment.
IN_PROGRESS - The resource is being deployed.
COMPLETED - The resource has been deployed.
FAILED - Deployment of the resource failed.
Specifies whether Transport Layer Security (TLS) encryption is required for connections to the proxy. By enabling this setting, you can enforce encrypted TLS connections to the proxy.
', 'CreateDBProxyRequest$DebugLogging' => 'Specifies whether the proxy includes detailed information about SQL statements in its logs. This information helps you to debug issues involving SQL behavior or the performance and scalability of the proxy connections. The debug information includes the text of SQL statements that you submit through the proxy. Thus, only enable this setting when needed for debugging, and only when you have security measures in place to safeguard any sensitive information that appears in the logs.
', 'DBCluster$StorageEncrypted' => 'Indicates whether the DB cluster is encrypted.
', 'DBCluster$AutoMinorVersionUpgrade' => 'Indicates whether minor version patches are applied automatically.
This setting is for Aurora DB clusters and Multi-AZ DB clusters.
', 'DBClusterAutomatedBackup$IAMDatabaseAuthenticationEnabled' => 'Indicates whether mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts is enabled.
', 'DBClusterAutomatedBackup$StorageEncrypted' => 'Indicates whether the source DB cluster is encrypted.
', 'DBClusterMember$IsClusterWriter' => 'Indicates whether the cluster member is the primary DB instance for the DB cluster.
', 'DBClusterSnapshot$StorageEncrypted' => 'Indicates whether the DB cluster snapshot is encrypted.
', 'DBClusterSnapshot$IAMDatabaseAuthenticationEnabled' => 'Indicates whether mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts is enabled.
', 'DBClusterStatusInfo$Normal' => 'Reserved for future use.
', 'DBEngineVersion$SupportsLogExportsToCloudwatchLogs' => 'Indicates whether the engine version supports exporting the log types specified by ExportableLogTypes to CloudWatch Logs.
', 'DBEngineVersion$SupportsReadReplica' => 'Indicates whether the database engine version supports read replicas.
', 'DBEngineVersion$SupportsParallelQuery' => 'Indicates whether you can use Aurora parallel query with a specific DB engine version.
', 'DBEngineVersion$SupportsGlobalDatabases' => 'Indicates whether you can use Aurora global databases with a specific DB engine version.
', 'DBEngineVersion$SupportsBabelfish' => 'Indicates whether the engine version supports Babelfish for Aurora PostgreSQL.
', 'DBEngineVersion$SupportsLimitlessDatabase' => 'Indicates whether the DB engine version supports Aurora Limitless Database.
', 'DBEngineVersion$SupportsIntegrations' => 'Indicates whether the DB engine version supports zero-ETL integrations with Amazon Redshift.
', 'DBInstance$MultiAZ' => 'Indicates whether the DB instance is a Multi-AZ deployment. This setting doesn\'t apply to RDS Custom DB instances.
', 'DBInstance$AutoMinorVersionUpgrade' => 'Indicates whether minor version patches are applied automatically.
', 'DBInstance$PubliclyAccessible' => 'Indicates whether the DB instance is publicly accessible.
When the DB instance is publicly accessible and you connect from outside of the DB instance\'s virtual private cloud (VPC), its Domain Name System (DNS) endpoint resolves to the public IP address. When you connect from within the same VPC as the DB instance, the endpoint resolves to the private IP address. Access to the DB cluster is ultimately controlled by the security group it uses. That public access isn\'t permitted if the security group assigned to the DB cluster doesn\'t permit it.
When the DB instance isn\'t publicly accessible, it is an internal DB instance with a DNS name that resolves to a private IP address.
For more information, see CreateDBInstance.
', 'DBInstance$StorageEncrypted' => 'Indicates whether the DB instance is encrypted.
', 'DBInstance$CopyTagsToSnapshot' => 'Indicates whether tags are copied from the DB instance to snapshots of the DB instance.
This setting doesn\'t apply to Amazon Aurora DB instances. Copying tags to snapshots is managed by the DB cluster. Setting this value for an Aurora DB instance has no effect on the DB cluster setting. For more information, see DBCluster.
Indicates whether mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts is enabled for the DB instance.
For a list of engine versions that support IAM database authentication, see IAM database authentication in the Amazon RDS User Guide and IAM database authentication in Aurora in the Amazon Aurora User Guide.
', 'DBInstance$DeletionProtection' => 'Indicates whether the DB instance has deletion protection enabled. The database can\'t be deleted when deletion protection is enabled. For more information, see Deleting a DB Instance.
', 'DBInstance$DedicatedLogVolume' => 'Indicates whether the DB instance has a dedicated log volume (DLV) enabled.
', 'DBInstanceAutomatedBackup$Encrypted' => 'Indicates whether the automated backup is encrypted.
', 'DBInstanceAutomatedBackup$IAMDatabaseAuthenticationEnabled' => 'True if mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts is enabled, and otherwise false.
', 'DBInstanceStatusInfo$Normal' => 'Indicates whether the instance is operating normally (TRUE) or is in an error state (FALSE).
', 'DBProxy$RequireTLS' => 'Indicates whether Transport Layer Security (TLS) encryption is required for connections to the proxy.
', 'DBProxy$DebugLogging' => 'Indicates whether the proxy includes detailed information about SQL statements in its logs. This information helps you to debug issues involving SQL behavior or the performance and scalability of the proxy connections. The debug information includes the text of SQL statements that you submit through the proxy. Thus, only enable this setting when needed for debugging, and only when you have security measures in place to safeguard any sensitive information that appears in the logs.
', 'DBProxyEndpoint$IsDefault' => 'Indicates whether this endpoint is the default endpoint for the associated DB proxy. Default DB proxy endpoints always have read/write capability. Other endpoints that you associate with the DB proxy can be either read/write or read-only.
', 'DBProxyTargetGroup$IsDefault' => 'Indicates whether this target group is the first one used for connection requests by the associated proxy. Because each proxy is currently associated with a single target group, currently this setting is always true.
Indicates whether the DB snapshot is encrypted.
', 'DBSnapshot$IAMDatabaseAuthenticationEnabled' => 'Indicates whether mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts is enabled.
', 'DBSnapshot$DedicatedLogVolume' => 'Indicates whether the DB instance has a dedicated log volume (DLV) enabled.
', 'DeleteDBClusterMessage$SkipFinalSnapshot' => 'Specifies whether to skip the creation of a final DB cluster snapshot before RDS deletes the DB cluster. If you set this value to true, RDS doesn\'t create a final DB cluster snapshot. If you set this value to false or don\'t specify it, RDS creates a DB cluster snapshot before it deletes the DB cluster. By default, this parameter is disabled, so RDS creates a final DB cluster snapshot.
If SkipFinalSnapshot is disabled, you must specify a value for the FinalDBSnapshotIdentifier parameter.
Specifies whether to skip the creation of a final DB snapshot before deleting the instance. If you enable this parameter, RDS doesn\'t create a DB snapshot. If you don\'t enable this parameter, RDS creates a DB snapshot before the DB instance is deleted. By default, skip isn\'t enabled, and the DB snapshot is created.
If you don\'t enable this parameter, you must specify the FinalDBSnapshotIdentifier parameter.
When a DB instance is in a failure state and has a status of failed, incompatible-restore, or incompatible-network, RDS can delete the instance only if you enable this parameter.
If you delete a read replica or an RDS Custom instance, you must enable this setting.
This setting is required for RDS Custom.
', 'DeleteTenantDatabaseMessage$SkipFinalSnapshot' => 'Specifies whether to skip the creation of a final DB snapshot before removing the tenant database from your DB instance. If you enable this parameter, RDS doesn\'t create a DB snapshot. If you don\'t enable this parameter, RDS creates a DB snapshot before it deletes the tenant database. By default, RDS doesn\'t skip the final snapshot. If you don\'t enable this parameter, you must specify the FinalDBSnapshotIdentifier parameter.
Specifies whether to include shared manual DB cluster snapshots from other Amazon Web Services accounts that this Amazon Web Services account has been given permission to copy or restore. By default, these snapshots are not included.
You can give an Amazon Web Services account permission to restore a manual DB cluster snapshot from another Amazon Web Services account by the ModifyDBClusterSnapshotAttribute API action.
Specifies whether to include manual DB cluster snapshots that are public and can be copied or restored by any Amazon Web Services account. By default, the public snapshots are not included.
You can share a manual DB cluster snapshot as public by using the ModifyDBClusterSnapshotAttribute API action.
', 'DescribeDBClustersMessage$IncludeShared' => 'Specifies whether the output includes information about clusters shared from other Amazon Web Services accounts.
', 'DescribeDBEngineVersionsMessage$DefaultOnly' => 'Specifies whether to return only the default version of the specified engine or the engine and major version combination.
', 'DescribeDBSnapshotsMessage$IncludeShared' => 'Specifies whether to include shared manual DB cluster snapshots from other Amazon Web Services accounts that this Amazon Web Services account has been given permission to copy or restore. By default, these snapshots are not included.
You can give an Amazon Web Services account permission to restore a manual DB snapshot from another Amazon Web Services account by using the ModifyDBSnapshotAttribute API action.
This setting doesn\'t apply to RDS Custom.
', 'DescribeDBSnapshotsMessage$IncludePublic' => 'Specifies whether to include manual DB cluster snapshots that are public and can be copied or restored by any Amazon Web Services account. By default, the public snapshots are not included.
You can share a manual DB snapshot as public by using the ModifyDBSnapshotAttribute API.
This setting doesn\'t apply to RDS Custom.
', 'DisableHttpEndpointResponse$HttpEndpointEnabled' => 'Indicates whether the HTTP endpoint is enabled or disabled for the DB cluster.
', 'DownloadDBLogFilePortionDetails$AdditionalDataPending' => 'A Boolean value that, if true, indicates there is more data to be downloaded.
', 'EnableHttpEndpointResponse$HttpEndpointEnabled' => 'Indicates whether the HTTP endpoint is enabled or disabled for the DB cluster.
', 'EventSubscription$Enabled' => 'Specifies whether the subscription is enabled. True indicates the subscription is enabled.
', 'FailoverState$IsDataLossAllowed' => 'Indicates whether the operation is a global switchover or a global failover. If data loss is allowed, then the operation is a global failover. Otherwise, it\'s a switchover.
', 'GlobalClusterMember$IsWriter' => 'Indicates whether the Aurora DB cluster is the primary cluster (that is, has read-write capability) for the global cluster with which it is associated.
', 'ModifyDBClusterMessage$ApplyImmediately' => 'Specifies whether the modifications in this request are asynchronously applied as soon as possible, regardless of the PreferredMaintenanceWindow setting for the DB cluster. If this parameter is disabled, changes to the DB cluster are applied during the next maintenance window.
Most modifications can be applied immediately or during the next scheduled maintenance window. Some modifications, such as turning on deletion protection and changing the master password, are applied immediately—regardless of when you choose to apply them.
By default, this parameter is disabled.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$AllowMajorVersionUpgrade' => 'Specifies whether major version upgrades are allowed.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
You must allow major version upgrades when specifying a value for the EngineVersion parameter that is a different major version than the DB cluster\'s current version.
Specifies whether engine mode changes from serverless to provisioned are allowed.
Valid for Cluster Type: Aurora Serverless v1 DB clusters only
Constraints:
You must allow engine mode changes when specifying a different value for the EngineMode parameter from the DB cluster\'s current engine mode.
Specifies whether the modifications in this request and any pending modifications are asynchronously applied as soon as possible, regardless of the PreferredMaintenanceWindow setting for the DB instance. By default, this parameter is disabled.
If this parameter is disabled, changes to the DB instance are applied during the next maintenance window. Some parameter changes can cause an outage and are applied on the next call to RebootDBInstance, or the next failure reboot. Review the table of parameters in Modifying a DB Instance in the Amazon RDS User Guide to see the impact of enabling or disabling ApplyImmediately for each modified parameter and to determine when the changes are applied.
Specifies whether major version upgrades are allowed. Changing this parameter doesn\'t result in an outage and the change is asynchronously applied as soon as possible.
This setting doesn\'t apply to RDS Custom DB instances.
Constraints:
Major version upgrades must be allowed when specifying a value for the EngineVersion parameter that\'s a different major version than the DB instance\'s current version.
Specifies whether to apply the change immediately or during the next maintenance window for each instance associated with the option group.
', 'Option$Persistent' => 'Indicates whether this option is persistent.
', 'Option$Permanent' => 'Indicates whether this option is permanent.
', 'OptionGroup$AllowsVpcAndNonVpcInstanceMemberships' => 'Indicates whether this option group can be applied to both VPC and non-VPC instances. The value true indicates the option group can be applied to both VPC and non-VPC instances.
Indicates whether the option requires a port.
', 'OptionGroupOption$Persistent' => 'Persistent options can\'t be removed from an option group while DB instances are associated with the option group. If you disassociate all DB instances from the option group, your can remove the persistent option from the option group.
', 'OptionGroupOption$Permanent' => 'Permanent options can never be removed from an option group. An option group containing a permanent option can\'t be removed from a DB instance.
', 'OptionGroupOption$RequiresAutoMinorEngineVersionUpgrade' => 'If true, you must enable the Auto Minor Version Upgrade setting for your DB instance before you can use this option. You can enable Auto Minor Version Upgrade when you first create your DB instance, or by modifying your DB instance later.
', 'OptionGroupOption$VpcOnly' => 'If true, you can only use this option with a DB instance that is in a VPC.
', 'OptionGroupOptionSetting$IsModifiable' => 'Indicates whether this option group option can be changed from the default value.
', 'OptionGroupOptionSetting$IsRequired' => 'Indicates whether a value must be specified for this option setting of the option group option.
', 'OptionSetting$IsModifiable' => 'Indicates whether the option setting can be modified from the default.
', 'OptionSetting$IsCollection' => 'Indicates whether the option setting is part of a collection.
', 'OptionVersion$IsDefault' => 'Indicates whether the version is the default version of the option.
', 'OrderableDBInstanceOption$MultiAZCapable' => 'Indicates whether a DB instance is Multi-AZ capable.
', 'OrderableDBInstanceOption$ReadReplicaCapable' => 'Indicates whether a DB instance can have a read replica.
', 'OrderableDBInstanceOption$Vpc' => 'Indicates whether a DB instance is in a VPC.
', 'OrderableDBInstanceOption$SupportsStorageEncryption' => 'Indicates whether a DB instance supports encrypted storage.
', 'OrderableDBInstanceOption$SupportsIops' => 'Indicates whether a DB instance supports provisioned IOPS.
', 'OrderableDBInstanceOption$SupportsEnhancedMonitoring' => 'Indicates whether a DB instance supports Enhanced Monitoring at intervals from 1 to 60 seconds.
', 'OrderableDBInstanceOption$SupportsIAMDatabaseAuthentication' => 'Indicates whether a DB instance supports IAM database authentication.
', 'OrderableDBInstanceOption$SupportsPerformanceInsights' => 'Indicates whether a DB instance supports Performance Insights.
', 'OrderableDBInstanceOption$OutpostCapable' => 'Indicates whether a DB instance supports RDS on Outposts.
For more information about RDS on Outposts, see Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
', 'OrderableDBInstanceOption$SupportsGlobalDatabases' => 'Indicates whether you can use Aurora global databases with a specific combination of other DB engine attributes.
', 'OrderableDBInstanceOption$SupportsClusters' => 'Indicates whether DB instances can be configured as a Multi-AZ DB cluster.
For more information on Multi-AZ DB clusters, see Multi-AZ deployments with two readable standby DB instances in the Amazon RDS User Guide.
', 'OrderableDBInstanceOption$SupportsStorageThroughput' => 'Indicates whether a DB instance supports storage throughput.
', 'OrderableDBInstanceOption$SupportsDedicatedLogVolume' => 'Indicates whether a DB instance supports using a dedicated log volume (DLV).
', 'Parameter$IsModifiable' => 'Indicates whether (true) or not (false) the parameter can be modified. Some parameters have security or operational implications that prevent them from being changed.
Indicates whether the reservation applies to Multi-AZ deployments.
', 'ReservedDBInstancesOffering$MultiAZ' => 'Indicates whether the offering applies to Multi-AZ deployments.
', 'ResetDBClusterParameterGroupMessage$ResetAllParameters' => 'Specifies whether to reset all parameters in the DB cluster parameter group to their default values. You can\'t use this parameter if there is a list of parameter names specified for the Parameters parameter.
Specifies whether to reset all parameters in the DB parameter group to default values. By default, all parameters in the DB parameter group are reset to default values.
', 'RestoreDBClusterToPointInTimeMessage$UseLatestRestorableTime' => 'Specifies whether to restore the DB cluster to the latest restorable backup time. By default, the DB cluster isn\'t restored to the latest restorable backup time.
Constraints: Can\'t be specified if RestoreToTime parameter is provided.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBInstanceToPointInTimeMessage$UseLatestRestorableTime' => 'Specifies whether the DB instance is restored from the latest backup time. By default, the DB instance isn\'t restored from the latest backup time.
Constraints:
Can\'t be specified if the RestoreTime parameter is provided.
Indicates whether the source Amazon Web Services Region supports replicating automated backups to the current Amazon Web Services Region.
', 'StartActivityStreamResponse$ApplyImmediately' => 'Indicates whether or not the database activity stream will start as soon as possible, regardless of the maintenance window for the database.
', 'TenantDatabase$DeletionProtection' => 'Specifies whether deletion protection is enabled for the DB instance.
', 'UpgradeTarget$AutoUpgrade' => 'Indicates whether the target version is applied to any source DB instances that have AutoMinorVersionUpgrade set to true.
This parameter is dynamic, and is set by RDS.
', 'UpgradeTarget$IsMajorVersionUpgrade' => 'Indicates whether upgrading to the target version requires upgrading the major version of the database engine.
', 'ValidDBInstanceModificationsMessage$SupportsDedicatedLogVolume' => 'Indicates whether a DB instance supports using a dedicated log volume (DLV).
', 'ValidStorageOptions$SupportsStorageAutoscaling' => 'Indicates whether or not Amazon RDS can automatically scale storage for DB instances that use the new instance class.
', ], ], 'BooleanOptional' => [ 'base' => NULL, 'refs' => [ 'BacktrackDBClusterMessage$Force' => 'Specifies whether to force the DB cluster to backtrack when binary logging is enabled. Otherwise, an error occurs when binary logging is enabled.
', 'BacktrackDBClusterMessage$UseEarliestTimeOnPointInTimeUnavailable' => 'Specifies whether to backtrack the DB cluster to the earliest possible backtrack time when BacktrackTo is set to a timestamp earlier than the earliest backtrack time. When this parameter is disabled and BacktrackTo is set to a timestamp earlier than the earliest backtrack time, an error occurs.
', 'Certificate$CustomerOverride' => 'Indicates whether there is an override for the default certificate identifier.
', 'ClusterPendingModifiedValues$IAMDatabaseAuthenticationEnabled' => 'Indicates whether mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts is enabled.
', 'CopyDBClusterSnapshotMessage$CopyTags' => 'Specifies whether to copy all tags from the source DB cluster snapshot to the target DB cluster snapshot. By default, tags are not copied.
', 'CopyDBSnapshotMessage$CopyTags' => 'Specifies whether to copy all tags from the source DB snapshot to the target DB snapshot. By default, tags aren\'t copied.
', 'CopyDBSnapshotMessage$CopyOptionGroup' => 'Specifies whether to copy the DB option group associated with the source DB snapshot to the target Amazon Web Services account and associate with the target DB snapshot. The associated option group can be copied only with cross-account snapshot copy calls.
', 'CreateBlueGreenDeploymentRequest$UpgradeTargetStorageConfig' => 'Whether to upgrade the storage file system configuration on the green database. This option migrates the green DB instance from the older 32-bit file system to the preferred configuration. For more information, see Upgrading the storage file system for a DB instance.
', 'CreateCustomDBEngineVersionMessage$UseAwsProvidedLatestImage' => 'Specifies whether to use the latest service-provided Amazon Machine Image (AMI) for the CEV. If you specify UseAwsProvidedLatestImage, you can\'t also specify ImageId.
Specifies whether the DB cluster is encrypted.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
For more information, see IAM Database Authentication in the Amazon Aurora User Guide or IAM database authentication for MariaDB, MySQL, and PostgreSQL in the Amazon RDS User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$DeletionProtection' => 'Specifies whether the DB cluster has deletion protection enabled. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$EnableHttpEndpoint' => 'Specifies whether to enable the HTTP endpoint for the DB cluster. By default, the HTTP endpoint isn\'t enabled.
When enabled, the HTTP endpoint provides a connectionless web service API (RDS Data API) for running SQL queries on the DB cluster. You can also query your database from inside the RDS console with the RDS query editor.
RDS Data API is supported with the following DB clusters:
Aurora PostgreSQL Serverless v2 and provisioned
Aurora PostgreSQL and Aurora MySQL Serverless v1
For more information, see Using RDS Data API in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBClusterMessage$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the DB cluster to snapshots of the DB cluster. The default is not to copy them.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$EnableGlobalWriteForwarding' => 'Specifies whether to enable this DB cluster to forward write operations to the primary cluster of a global cluster (Aurora global database). By default, write operations are not allowed on Aurora DB clusters that are secondary clusters in an Aurora global database.
You can set this value only on Aurora DB clusters that are members of an Aurora global database. With this parameter enabled, a secondary cluster can forward writes to the current primary cluster, and the resulting changes are replicated back to this cluster. For the primary DB cluster of an Aurora global database, this value is used immediately if the primary is demoted by a global cluster API operation, but it does nothing until then.
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBClusterMessage$PubliclyAccessible' => 'Specifies whether the DB cluster is publicly accessible.
When the DB cluster is publicly accessible and you connect from outside of the DB cluster\'s virtual private cloud (VPC), its Domain Name System (DNS) endpoint resolves to the public IP address. When you connect from within the same VPC as the DB cluster, the endpoint resolves to the private IP address. Access to the DB cluster is ultimately controlled by the security group it uses. That public access isn\'t permitted if the security group assigned to the DB cluster doesn\'t permit it.
When the DB cluster isn\'t publicly accessible, it is an internal DB cluster with a DNS name that resolves to a private IP address.
Valid for Cluster Type: Multi-AZ DB clusters only
Default: The default behavior varies depending on whether DBSubnetGroupName is specified.
If DBSubnetGroupName isn\'t specified, and PubliclyAccessible isn\'t specified, the following applies:
If the default VPC in the target Region doesn’t have an internet gateway attached to it, the DB cluster is private.
If the default VPC in the target Region has an internet gateway attached to it, the DB cluster is public.
If DBSubnetGroupName is specified, and PubliclyAccessible isn\'t specified, the following applies:
If the subnets are part of a VPC that doesn’t have an internet gateway attached to it, the DB cluster is private.
If the subnets are part of a VPC that has an internet gateway attached to it, the DB cluster is public.
Specifies whether minor engine upgrades are applied automatically to the DB cluster during the maintenance window. By default, minor engine upgrades are applied automatically.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB cluster
', 'CreateDBClusterMessage$EnablePerformanceInsights' => 'Specifies whether to turn on Performance Insights for the DB cluster.
For more information, see Using Amazon Performance Insights in the Amazon RDS User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$EnableLimitlessDatabase' => 'Specifies whether to enable Aurora Limitless Database. You must enable Aurora Limitless Database to create a DB shard group.
Valid for: Aurora DB clusters only
This setting is no longer used. Instead use the ClusterScalabilityType setting.
Specifies whether to manage the master user password with Amazon Web Services Secrets Manager.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide and Password management with Amazon Web Services Secrets Manager in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Can\'t manage the master user password with Amazon Web Services Secrets Manager if MasterUserPassword is specified.
Specifies whether read replicas can forward write operations to the writer DB instance in the DB cluster. By default, write operations aren\'t allowed on reader DB instances.
Valid for: Aurora DB clusters only
', 'CreateDBInstanceMessage$MultiAZ' => 'Specifies whether the DB instance is a Multi-AZ deployment. You can\'t set the AvailabilityZone parameter if the DB instance is a Multi-AZ deployment.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora (DB instance Availability Zones (AZs) are managed by the DB cluster.)
RDS Custom
Specifies whether minor engine upgrades are applied automatically to the DB instance during the maintenance window. By default, minor engine upgrades are applied automatically.
If you create an RDS Custom DB instance, you must set AutoMinorVersionUpgrade to false.
Specifies whether the DB instance is publicly accessible.
When the DB instance is publicly accessible and you connect from outside of the DB instance\'s virtual private cloud (VPC), its Domain Name System (DNS) endpoint resolves to the public IP address. When you connect from within the same VPC as the DB instance, the endpoint resolves to the private IP address. Access to the DB instance is ultimately controlled by the security group it uses. That public access is not permitted if the security group assigned to the DB instance doesn\'t permit it.
When the DB instance isn\'t publicly accessible, it is an internal DB instance with a DNS name that resolves to a private IP address.
Default: The default behavior varies depending on whether DBSubnetGroupName is specified.
If DBSubnetGroupName isn\'t specified, and PubliclyAccessible isn\'t specified, the following applies:
If the default VPC in the target Region doesn’t have an internet gateway attached to it, the DB instance is private.
If the default VPC in the target Region has an internet gateway attached to it, the DB instance is public.
If DBSubnetGroupName is specified, and PubliclyAccessible isn\'t specified, the following applies:
If the subnets are part of a VPC that doesn’t have an internet gateway attached to it, the DB instance is private.
If the subnets are part of a VPC that has an internet gateway attached to it, the DB instance is public.
Specifes whether the DB instance is encrypted. By default, it isn\'t encrypted.
For RDS Custom DB instances, either enable this setting or leave it unset. Otherwise, Amazon RDS reports an error.
This setting doesn\'t apply to Amazon Aurora DB instances. The encryption for DB instances is managed by the DB cluster.
', 'CreateDBInstanceMessage$CopyTagsToSnapshot' => 'Specifies whether to copy tags from the DB instance to snapshots of the DB instance. By default, tags are not copied.
This setting doesn\'t apply to Amazon Aurora DB instances. Copying tags to snapshots is managed by the DB cluster. Setting this value for an Aurora DB instance has no effect on the DB cluster setting.
', 'CreateDBInstanceMessage$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
For more information, see IAM Database Authentication for MySQL and PostgreSQL in the Amazon RDS User Guide.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora (Mapping Amazon Web Services IAM accounts to database accounts is managed by the DB cluster.)
RDS Custom
Specifies whether to enable Performance Insights for the DB instance. For more information, see Using Amazon Performance Insights in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceMessage$DeletionProtection' => 'Specifies whether the DB instance has deletion protection enabled. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled. For more information, see Deleting a DB Instance.
This setting doesn\'t apply to Amazon Aurora DB instances. You can enable or disable deletion protection for the DB cluster. For more information, see CreateDBCluster. DB instances in a DB cluster can be deleted even when deletion protection is enabled for the DB cluster.
Specifies whether to enable a customer-owned IP address (CoIP) for an RDS on Outposts DB instance.
A CoIP provides local or external connectivity to resources in your Outpost subnets through your on-premises network. For some use cases, a CoIP can provide lower latency for connections to the DB instance from outside of its virtual private cloud (VPC) on your local network.
For more information about RDS on Outposts, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
For more information about CoIPs, see Customer-owned IP addresses in the Amazon Web Services Outposts User Guide.
', 'CreateDBInstanceMessage$ManageMasterUserPassword' => 'Specifies whether to manage the master user password with Amazon Web Services Secrets Manager.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide.
Constraints:
Can\'t manage the master user password with Amazon Web Services Secrets Manager if MasterUserPassword is specified.
Indicates whether the DB instance has a dedicated log volume (DLV) enabled.
', 'CreateDBInstanceMessage$MultiTenant' => 'Specifies whether to use the multi-tenant configuration or the single-tenant configuration (default). This parameter only applies to RDS for Oracle container database (CDB) engines.
Note the following restrictions:
The DB engine that you specify in the request must support the multi-tenant configuration. If you attempt to enable the multi-tenant configuration on a DB engine that doesn\'t support it, the request fails.
If you specify the multi-tenant configuration when you create your DB instance, you can\'t later modify this DB instance to use the single-tenant configuration.
Specifies whether the read replica is in a Multi-AZ deployment.
You can create a read replica as a Multi-AZ DB instance. RDS creates a standby of your replica in another Availability Zone for failover support for the replica. Creating your read replica as a Multi-AZ DB instance is independent of whether the source is a Multi-AZ DB instance or a Multi-AZ DB cluster.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$AutoMinorVersionUpgrade' => 'Specifies whether to automatically apply minor engine upgrades to the read replica during the maintenance window.
This setting doesn\'t apply to RDS Custom DB instances.
Default: Inherits the value from the source DB instance.
', 'CreateDBInstanceReadReplicaMessage$PubliclyAccessible' => 'Specifies whether the DB instance is publicly accessible.
When the DB cluster is publicly accessible, its Domain Name System (DNS) endpoint resolves to the private IP address from within the DB cluster\'s virtual private cloud (VPC). It resolves to the public IP address from outside of the DB cluster\'s VPC. Access to the DB cluster is ultimately controlled by the security group it uses. That public access isn\'t permitted if the security group assigned to the DB cluster doesn\'t permit it.
When the DB instance isn\'t publicly accessible, it is an internal DB instance with a DNS name that resolves to a private IP address.
For more information, see CreateDBInstance.
', 'CreateDBInstanceReadReplicaMessage$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the read replica to snapshots of the read replica. By default, tags aren\'t copied.
', 'CreateDBInstanceReadReplicaMessage$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
For more information about IAM database authentication, see IAM Database Authentication for MySQL and PostgreSQL in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$EnablePerformanceInsights' => 'Specifies whether to enable Performance Insights for the read replica.
For more information, see Using Amazon Performance Insights in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$UseDefaultProcessorFeatures' => 'Specifies whether the DB instance class of the DB instance uses its default processor features.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$DeletionProtection' => 'Specifies whether to enable deletion protection for the DB instance. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled. For more information, see Deleting a DB Instance.
', 'CreateDBInstanceReadReplicaMessage$EnableCustomerOwnedIp' => 'Specifies whether to enable a customer-owned IP address (CoIP) for an RDS on Outposts read replica.
A CoIP provides local or external connectivity to resources in your Outpost subnets through your on-premises network. For some use cases, a CoIP can provide lower latency for connections to the read replica from outside of its virtual private cloud (VPC) on your local network.
For more information about RDS on Outposts, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
For more information about CoIPs, see Customer-owned IP addresses in the Amazon Web Services Outposts User Guide.
', 'CreateDBInstanceReadReplicaMessage$DedicatedLogVolume' => 'Indicates whether the DB instance has a dedicated log volume (DLV) enabled.
', 'CreateDBInstanceReadReplicaMessage$UpgradeStorageConfig' => 'Whether to upgrade the storage file system configuration on the read replica. This option migrates the read replica from the old storage file system layout to the preferred layout.
', 'CreateDBShardGroupMessage$PubliclyAccessible' => 'Specifies whether the DB shard group is publicly accessible.
When the DB shard group is publicly accessible, its Domain Name System (DNS) endpoint resolves to the private IP address from within the DB shard group\'s virtual private cloud (VPC). It resolves to the public IP address from outside of the DB shard group\'s VPC. Access to the DB shard group is ultimately controlled by the security group it uses. That public access is not permitted if the security group assigned to the DB shard group doesn\'t permit it.
When the DB shard group isn\'t publicly accessible, it is an internal DB shard group with a DNS name that resolves to a private IP address.
Default: The default behavior varies depending on whether DBSubnetGroupName is specified.
If DBSubnetGroupName isn\'t specified, and PubliclyAccessible isn\'t specified, the following applies:
If the default VPC in the target Region doesn’t have an internet gateway attached to it, the DB shard group is private.
If the default VPC in the target Region has an internet gateway attached to it, the DB shard group is public.
If DBSubnetGroupName is specified, and PubliclyAccessible isn\'t specified, the following applies:
If the subnets are part of a VPC that doesn’t have an internet gateway attached to it, the DB shard group is private.
If the subnets are part of a VPC that has an internet gateway attached to it, the DB shard group is public.
Specifies whether to activate the subscription. If the event notification subscription isn\'t activated, the subscription is created but not active.
', 'CreateGlobalClusterMessage$DeletionProtection' => 'Specifies whether to enable deletion protection for the new global database cluster. The global database can\'t be deleted when deletion protection is enabled.
', 'CreateGlobalClusterMessage$StorageEncrypted' => 'Specifies whether to enable storage encryption for the new global database cluster.
Constraints:
Can\'t be specified if SourceDBClusterIdentifier is specified. In this case, Amazon Aurora uses the setting from the source DB cluster.
Indicates whether the DB cluster has instances in multiple Availability Zones.
', 'DBCluster$IAMDatabaseAuthenticationEnabled' => 'Indicates whether the mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts is enabled.
', 'DBCluster$DeletionProtection' => 'Indicates whether the DB cluster has deletion protection enabled. The database can\'t be deleted when deletion protection is enabled.
', 'DBCluster$HttpEndpointEnabled' => 'Indicates whether the HTTP endpoint is enabled for an Aurora DB cluster.
When enabled, the HTTP endpoint provides a connectionless web service API (RDS Data API) for running SQL queries on the DB cluster. You can also query your database from inside the RDS console with the RDS query editor.
For more information, see Using RDS Data API in the Amazon Aurora User Guide.
', 'DBCluster$CopyTagsToSnapshot' => 'Indicates whether tags are copied from the DB cluster to snapshots of the DB cluster.
', 'DBCluster$CrossAccountClone' => 'Indicates whether the DB cluster is a clone of a DB cluster owned by a different Amazon Web Services account.
', 'DBCluster$GlobalWriteForwardingRequested' => 'Indicates whether write forwarding is enabled for a secondary cluster in an Aurora global database. Because write forwarding takes time to enable, check the value of GlobalWriteForwardingStatus to confirm that the request has completed before using the write forwarding feature for this cluster.
Indicates whether the DB cluster is publicly accessible.
When the DB cluster is publicly accessible and you connect from outside of the DB cluster\'s virtual private cloud (VPC), its Domain Name System (DNS) endpoint resolves to the public IP address. When you connect from within the same VPC as the DB cluster, the endpoint resolves to the private IP address. Access to the DB cluster is ultimately controlled by the security group it uses. That public access isn\'t permitted if the security group assigned to the DB cluster doesn\'t permit it.
When the DB cluster isn\'t publicly accessible, it is an internal DB cluster with a DNS name that resolves to a private IP address.
For more information, see CreateDBCluster.
This setting is only for non-Aurora Multi-AZ DB clusters.
', 'DBCluster$PerformanceInsightsEnabled' => 'Indicates whether Performance Insights is enabled for the DB cluster.
This setting is only for Aurora DB clusters and Multi-AZ DB clusters.
', 'DBEngineVersion$SupportsCertificateRotationWithoutRestart' => 'Indicates whether the engine version supports rotating the server certificate without rebooting the DB instance.
', 'DBEngineVersion$SupportsLocalWriteForwarding' => 'Indicates whether the DB engine version supports forwarding write operations from reader DB instances to the writer DB instance in the DB cluster. By default, write operations aren\'t allowed on reader DB instances.
Valid for: Aurora DB clusters only
', 'DBInstance$PerformanceInsightsEnabled' => 'Indicates whether Performance Insights is enabled for the DB instance.
', 'DBInstance$CustomerOwnedIpEnabled' => 'Indicates whether a customer-owned IP address (CoIP) is enabled for an RDS on Outposts DB instance.
A CoIP provides local or external connectivity to resources in your Outpost subnets through your on-premises network. For some use cases, a CoIP can provide lower latency for connections to the DB instance from outside of its virtual private cloud (VPC) on your local network.
For more information about RDS on Outposts, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
For more information about CoIPs, see Customer-owned IP addresses in the Amazon Web Services Outposts User Guide.
', 'DBInstance$ActivityStreamEngineNativeAuditFieldsIncluded' => 'Indicates whether engine-native audit fields are included in the database activity stream.
', 'DBInstance$IsStorageConfigUpgradeAvailable' => 'Indicates whether an upgrade is recommended for the storage file system configuration on the DB instance. To migrate to the preferred configuration, you can either create a blue/green deployment, or create a read replica from the DB instance. For more information, see Upgrading the storage file system for a DB instance.
', 'DBInstance$MultiTenant' => 'Specifies whether the DB instance is in the multi-tenant configuration (TRUE) or the single-tenant configuration (FALSE).
', 'DBInstanceAutomatedBackup$DedicatedLogVolume' => 'Indicates whether the DB instance has a dedicated log volume (DLV) enabled.
', 'DBInstanceAutomatedBackup$MultiTenant' => 'Specifies whether the automatic backup is for a DB instance in the multi-tenant configuration (TRUE) or the single-tenant configuration (FALSE).
', 'DBShardGroup$PubliclyAccessible' => 'Indicates whether the DB shard group is publicly accessible.
When the DB shard group is publicly accessible, its Domain Name System (DNS) endpoint resolves to the private IP address from within the DB shard group\'s virtual private cloud (VPC). It resolves to the public IP address from outside of the DB shard group\'s VPC. Access to the DB shard group is ultimately controlled by the security group it uses. That public access isn\'t permitted if the security group assigned to the DB shard group doesn\'t permit it.
When the DB shard group isn\'t publicly accessible, it is an internal DB shard group with a DNS name that resolves to a private IP address.
For more information, see CreateDBShardGroup.
This setting is only for Aurora Limitless Database.
', 'DBSnapshot$MultiTenant' => 'Indicates whether the snapshot is of a DB instance using the multi-tenant configuration (TRUE) or the single-tenant configuration (FALSE).
', 'DeleteBlueGreenDeploymentRequest$DeleteTarget' => 'Specifies whether to delete the resources in the green environment. You can\'t specify this option if the blue/green deployment status is SWITCHOVER_COMPLETED.
Specifies whether to remove automated backups immediately after the DB cluster is deleted. This parameter isn\'t case-sensitive. The default is to remove automated backups immediately after the DB cluster is deleted.
', 'DeleteDBInstanceMessage$DeleteAutomatedBackups' => 'Specifies whether to remove automated backups immediately after the DB instance is deleted. This parameter isn\'t case-sensitive. The default is to remove automated backups immediately after the DB instance is deleted.
', 'DescribeDBEngineVersionsMessage$ListSupportedCharacterSets' => 'Specifies whether to list the supported character sets for each engine version.
If this parameter is enabled and the requested engine supports the CharacterSetName parameter for CreateDBInstance, the response includes a list of supported character sets for each engine version.
For RDS Custom, the default is not to list supported character sets. If you enable this parameter, RDS Custom returns no results.
', 'DescribeDBEngineVersionsMessage$ListSupportedTimezones' => 'Specifies whether to list the supported time zones for each engine version.
If this parameter is enabled and the requested engine supports the TimeZone parameter for CreateDBInstance, the response includes a list of supported time zones for each engine version.
For RDS Custom, the default is not to list supported time zones. If you enable this parameter, RDS Custom returns no results.
', 'DescribeDBEngineVersionsMessage$IncludeAll' => 'Specifies whether to also list the engine versions that aren\'t available. The default is to list only available engine versions.
', 'DescribeOrderableDBInstanceOptionsMessage$Vpc' => 'Specifies whether to show only VPC or non-VPC offerings. RDS Custom supports only VPC offerings.
RDS Custom supports only VPC offerings. If you describe non-VPC offerings for RDS Custom, the output shows VPC offerings.
', 'DescribeReservedDBInstancesMessage$MultiAZ' => 'Specifies whether to show only those reservations that support Multi-AZ.
', 'DescribeReservedDBInstancesOfferingsMessage$MultiAZ' => 'Specifies whether to show only those reservations that support Multi-AZ.
', 'FailoverGlobalClusterMessage$AllowDataLoss' => 'Specifies whether to allow data loss for this global database cluster operation. Allowing data loss triggers a global failover operation.
If you don\'t specify AllowDataLoss, the global database cluster operation defaults to a switchover.
Constraints:
Can\'t be specified together with the Switchover parameter.
Specifies whether to switch over this global database cluster.
Constraints:
Can\'t be specified together with the AllowDataLoss parameter.
The storage encryption setting for the global database cluster.
', 'GlobalCluster$DeletionProtection' => 'The deletion protection setting for the new global database cluster.
', 'ModifyActivityStreamResponse$EngineNativeAuditFieldsIncluded' => 'Indicates whether engine-native audit fields are included in the database activity stream.
', 'ModifyCertificatesMessage$RemoveCustomerOverride' => 'Specifies whether to remove the override for the default certificate. If the override is removed, the default certificate is the system default.
', 'ModifyDBClusterMessage$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
For more information, see IAM Database Authentication in the Amazon Aurora User Guide or IAM database authentication for MariaDB, MySQL, and PostgreSQL in the Amazon RDS User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$DeletionProtection' => 'Specifies whether the DB cluster has deletion protection enabled. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$EnableHttpEndpoint' => 'Specifies whether to enable the HTTP endpoint for an Aurora Serverless v1 DB cluster. By default, the HTTP endpoint isn\'t enabled.
When enabled, the HTTP endpoint provides a connectionless web service API (RDS Data API) for running SQL queries on the Aurora Serverless v1 DB cluster. You can also query your database from inside the RDS console with the RDS query editor.
For more information, see Using RDS Data API in the Amazon Aurora User Guide.
This parameter applies only to Aurora Serverless v1 DB clusters. To enable or disable the HTTP endpoint for an Aurora Serverless v2 or provisioned DB cluster, use the EnableHttpEndpoint and DisableHttpEndpoint operations.
Valid for Cluster Type: Aurora DB clusters only
', 'ModifyDBClusterMessage$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the DB cluster to snapshots of the DB cluster. The default is not to copy them.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$EnableGlobalWriteForwarding' => 'Specifies whether to enable this DB cluster to forward write operations to the primary cluster of a global cluster (Aurora global database). By default, write operations are not allowed on Aurora DB clusters that are secondary clusters in an Aurora global database.
You can set this value only on Aurora DB clusters that are members of an Aurora global database. With this parameter enabled, a secondary cluster can forward writes to the current primary cluster, and the resulting changes are replicated back to this cluster. For the primary DB cluster of an Aurora global database, this value is used immediately if the primary is demoted by a global cluster API operation, but it does nothing until then.
Valid for Cluster Type: Aurora DB clusters only
', 'ModifyDBClusterMessage$AutoMinorVersionUpgrade' => 'Specifies whether minor engine upgrades are applied automatically to the DB cluster during the maintenance window. By default, minor engine upgrades are applied automatically.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$EnablePerformanceInsights' => 'Specifies whether to turn on Performance Insights for the DB cluster.
For more information, see Using Amazon Performance Insights in the Amazon RDS User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$ManageMasterUserPassword' => 'Specifies whether to manage the master user password with Amazon Web Services Secrets Manager.
If the DB cluster doesn\'t manage the master user password with Amazon Web Services Secrets Manager, you can turn on this management. In this case, you can\'t specify MasterUserPassword.
If the DB cluster already manages the master user password with Amazon Web Services Secrets Manager, and you specify that the master user password is not managed with Amazon Web Services Secrets Manager, then you must specify MasterUserPassword. In this case, RDS deletes the secret and uses the new password for the master user specified by MasterUserPassword.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide and Password management with Amazon Web Services Secrets Manager in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$RotateMasterUserPassword' => 'Specifies whether to rotate the secret managed by Amazon Web Services Secrets Manager for the master user password.
This setting is valid only if the master user password is managed by RDS in Amazon Web Services Secrets Manager for the DB cluster. The secret value contains the updated password.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide and Password management with Amazon Web Services Secrets Manager in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
You must apply the change immediately when rotating the master user password.
Specifies whether read replicas can forward write operations to the writer DB instance in the DB cluster. By default, write operations aren\'t allowed on reader DB instances.
Valid for: Aurora DB clusters only
', 'ModifyDBClusterMessage$EnableLimitlessDatabase' => 'Specifies whether to enable Aurora Limitless Database. You must enable Aurora Limitless Database to create a DB shard group.
Valid for: Aurora DB clusters only
This setting is no longer used. Instead use the ClusterScalabilityType setting when you create your Aurora Limitless Database DB cluster.
Specifies whether the DB instance is a Multi-AZ deployment. Changing this parameter doesn\'t result in an outage. The change is applied during the next maintenance window unless the ApplyImmediately parameter is enabled for this request.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$AutoMinorVersionUpgrade' => 'Specifies whether minor version upgrades are applied automatically to the DB instance during the maintenance window. An outage occurs when all the following conditions are met:
The automatic upgrade is enabled for the maintenance window.
A newer minor version is available.
RDS has enabled automatic patching for the engine version.
If any of the preceding conditions isn\'t met, Amazon RDS applies the change as soon as possible and doesn\'t cause an outage.
For an RDS Custom DB instance, don\'t enable this setting. Otherwise, the operation returns an error.
', 'ModifyDBInstanceMessage$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the DB instance to snapshots of the DB instance. By default, tags aren\'t copied.
This setting doesn\'t apply to Amazon Aurora DB instances. Copying tags to snapshots is managed by the DB cluster. Setting this value for an Aurora DB instance has no effect on the DB cluster setting. For more information, see ModifyDBCluster.
Specifies whether the DB instance is publicly accessible.
When the DB instance is publicly accessible and you connect from outside of the DB instance\'s virtual private cloud (VPC), its Domain Name System (DNS) endpoint resolves to the public IP address. When you connect from within the same VPC as the DB instance, the endpoint resolves to the private IP address. Access to the DB instance is ultimately controlled by the security group it uses. That public access isn\'t permitted if the security group assigned to the DB instance doesn\'t permit it.
When the DB instance isn\'t publicly accessible, it is an internal DB instance with a DNS name that resolves to a private IP address.
PubliclyAccessible only applies to DB instances in a VPC. The DB instance must be part of a public subnet and PubliclyAccessible must be enabled for it to be publicly accessible.
Changes to the PubliclyAccessible parameter are applied immediately regardless of the value of the ApplyImmediately parameter.
Specifies whether to remove the DB instance from the Active Directory domain.
', 'ModifyDBInstanceMessage$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
This setting doesn\'t apply to Amazon Aurora. Mapping Amazon Web Services IAM accounts to database accounts is managed by the DB cluster.
For more information about IAM database authentication, see IAM Database Authentication for MySQL and PostgreSQL in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$EnablePerformanceInsights' => 'Specifies whether to enable Performance Insights for the DB instance.
For more information, see Using Amazon Performance Insights in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$UseDefaultProcessorFeatures' => 'Specifies whether the DB instance class of the DB instance uses its default processor features.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$DeletionProtection' => 'Specifies whether the DB instance has deletion protection enabled. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled. For more information, see Deleting a DB Instance.
This setting doesn\'t apply to Amazon Aurora DB instances. You can enable or disable deletion protection for the DB cluster. For more information, see ModifyDBCluster. DB instances in a DB cluster can be deleted even when deletion protection is enabled for the DB cluster.
Specifies whether the DB instance is restarted when you rotate your SSL/TLS certificate.
By default, the DB instance is restarted when you rotate your SSL/TLS certificate. The certificate is not updated until the DB instance is restarted.
Set this parameter only if you are not using SSL/TLS to connect to the DB instance.
If you are using SSL/TLS to connect to the DB instance, follow the appropriate instructions for your DB engine to rotate your SSL/TLS certificate:
For more information about rotating your SSL/TLS certificate for RDS DB engines, see Rotating Your SSL/TLS Certificate. in the Amazon RDS User Guide.
For more information about rotating your SSL/TLS certificate for Aurora DB engines, see Rotating Your SSL/TLS Certificate in the Amazon Aurora User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$EnableCustomerOwnedIp' => 'Specifies whether to enable a customer-owned IP address (CoIP) for an RDS on Outposts DB instance.
A CoIP provides local or external connectivity to resources in your Outpost subnets through your on-premises network. For some use cases, a CoIP can provide lower latency for connections to the DB instance from outside of its virtual private cloud (VPC) on your local network.
For more information about RDS on Outposts, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
For more information about CoIPs, see Customer-owned IP addresses in the Amazon Web Services Outposts User Guide.
', 'ModifyDBInstanceMessage$ManageMasterUserPassword' => 'Specifies whether to manage the master user password with Amazon Web Services Secrets Manager.
If the DB instance doesn\'t manage the master user password with Amazon Web Services Secrets Manager, you can turn on this management. In this case, you can\'t specify MasterUserPassword.
If the DB instance already manages the master user password with Amazon Web Services Secrets Manager, and you specify that the master user password is not managed with Amazon Web Services Secrets Manager, then you must specify MasterUserPassword. In this case, Amazon RDS deletes the secret and uses the new password for the master user specified by MasterUserPassword.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide.
Constraints:
Can\'t manage the master user password with Amazon Web Services Secrets Manager if MasterUserPassword is specified.
Specifies whether to rotate the secret managed by Amazon Web Services Secrets Manager for the master user password.
This setting is valid only if the master user password is managed by RDS in Amazon Web Services Secrets Manager for the DB cluster. The secret value contains the updated password.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide.
Constraints:
You must apply the change immediately when rotating the master user password.
Indicates whether the DB instance has a dedicated log volume (DLV) enabled.
', 'ModifyDBInstanceMessage$MultiTenant' => 'Specifies whether the to convert your DB instance from the single-tenant configuration to the multi-tenant configuration. This parameter is supported only for RDS for Oracle CDB instances.
During the conversion, RDS creates an initial tenant database and associates the DB name, master user name, character set, and national character set metadata with this database. The tags associated with the instance also propagate to the initial tenant database. You can add more tenant databases to your DB instance by using the CreateTenantDatabase operation.
The conversion to the multi-tenant configuration is permanent and irreversible, so you can\'t later convert back to the single-tenant configuration. When you specify this parameter, you must also specify ApplyImmediately.
Whether Transport Layer Security (TLS) encryption is required for connections to the proxy. By enabling this setting, you can enforce encrypted TLS connections to the proxy, even if the associated database doesn\'t use TLS.
', 'ModifyDBProxyRequest$DebugLogging' => 'Whether the proxy includes detailed information about SQL statements in its logs. This information helps you to debug issues involving SQL behavior or the performance and scalability of the proxy connections. The debug information includes the text of SQL statements that you submit through the proxy. Thus, only enable this setting when needed for debugging, and only when you have security measures in place to safeguard any sensitive information that appears in the logs.
', 'ModifyEventSubscriptionMessage$Enabled' => 'Specifies whether to activate the subscription.
', 'ModifyGlobalClusterMessage$DeletionProtection' => 'Specifies whether to enable deletion protection for the global database cluster. The global database cluster can\'t be deleted when deletion protection is enabled.
', 'ModifyGlobalClusterMessage$AllowMajorVersionUpgrade' => 'Specifies whether to allow major version upgrades.
Constraints: Must be enabled if you specify a value for the EngineVersion parameter that\'s a different major version than the global cluster\'s current version.
If you upgrade the major version of a global database, the cluster and DB instance parameter groups are set to the default parameter groups for the new version. Apply any custom parameter groups after completing the upgrade.
', 'OptionGroupOption$SupportsOptionVersionDowngrade' => 'If true, you can change the option to an earlier version of the option. This only applies to options that have different versions available.
', 'OptionGroupOption$CopyableCrossAccount' => 'Indicates whether the option can be copied across Amazon Web Services accounts.
', 'OrderableDBInstanceOption$SupportsStorageAutoscaling' => 'Indicates whether Amazon RDS can automatically scale storage for DB instances that use the specified DB instance class.
', 'OrderableDBInstanceOption$SupportsKerberosAuthentication' => 'Indicates whether a DB instance supports Kerberos Authentication.
', 'PendingModifiedValues$MultiAZ' => 'Indicates whether the Single-AZ DB instance will change to a Multi-AZ deployment.
', 'PendingModifiedValues$IAMDatabaseAuthenticationEnabled' => 'Indicates whether mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts is enabled.
', 'PendingModifiedValues$DedicatedLogVolume' => 'Indicates whether the DB instance has a dedicated log volume (DLV) enabled.>
', 'PendingModifiedValues$MultiTenant' => 'Indicates whether the DB instance will change to the multi-tenant configuration (TRUE) or the single-tenant configuration (FALSE).
', 'RebootDBInstanceMessage$ForceFailover' => 'Specifies whether the reboot is conducted through a Multi-AZ failover.
Constraint: You can\'t enable force failover if the instance isn\'t configured for Multi-AZ.
', 'RestoreDBClusterFromS3Message$StorageEncrypted' => 'Specifies whether the restored DB cluster is encrypted.
', 'RestoreDBClusterFromS3Message$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
For more information, see IAM Database Authentication in the Amazon Aurora User Guide.
', 'RestoreDBClusterFromS3Message$DeletionProtection' => 'Specifies whether to enable deletion protection for the DB cluster. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled.
', 'RestoreDBClusterFromS3Message$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the restored DB cluster to snapshots of the restored DB cluster. The default is not to copy them.
', 'RestoreDBClusterFromS3Message$ManageMasterUserPassword' => 'Specifies whether to manage the master user password with Amazon Web Services Secrets Manager.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide and Password management with Amazon Web Services Secrets Manager in the Amazon Aurora User Guide.
Constraints:
Can\'t manage the master user password with Amazon Web Services Secrets Manager if MasterUserPassword is specified.
Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
For more information, see IAM Database Authentication in the Amazon Aurora User Guide or IAM database authentication for MariaDB, MySQL, and PostgreSQL in the Amazon RDS User Guide.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$DeletionProtection' => 'Specifies whether to enable deletion protection for the DB cluster. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the restored DB cluster to snapshots of the restored DB cluster. The default is not to copy them.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$PubliclyAccessible' => 'Specifies whether the DB cluster is publicly accessible.
When the DB cluster is publicly accessible, its Domain Name System (DNS) endpoint resolves to the private IP address from within the DB cluster\'s virtual private cloud (VPC). It resolves to the public IP address from outside of the DB cluster\'s VPC. Access to the DB cluster is ultimately controlled by the security group it uses. That public access is not permitted if the security group assigned to the DB cluster doesn\'t permit it.
When the DB cluster isn\'t publicly accessible, it is an internal DB cluster with a DNS name that resolves to a private IP address.
Default: The default behavior varies depending on whether DBSubnetGroupName is specified.
If DBSubnetGroupName isn\'t specified, and PubliclyAccessible isn\'t specified, the following applies:
If the default VPC in the target Region doesn’t have an internet gateway attached to it, the DB cluster is private.
If the default VPC in the target Region has an internet gateway attached to it, the DB cluster is public.
If DBSubnetGroupName is specified, and PubliclyAccessible isn\'t specified, the following applies:
If the subnets are part of a VPC that doesn’t have an internet gateway attached to it, the DB cluster is private.
If the subnets are part of a VPC that has an internet gateway attached to it, the DB cluster is public.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$EnablePerformanceInsights' => 'Specifies whether to turn on Performance Insights for the DB cluster.
', 'RestoreDBClusterToPointInTimeMessage$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
For more information, see IAM Database Authentication in the Amazon Aurora User Guide or IAM database authentication for MariaDB, MySQL, and PostgreSQL in the Amazon RDS User Guide.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$DeletionProtection' => 'Specifies whether to enable deletion protection for the DB cluster. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the restored DB cluster to snapshots of the restored DB cluster. The default is not to copy them.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$PubliclyAccessible' => 'Specifies whether the DB cluster is publicly accessible.
When the DB cluster is publicly accessible, its Domain Name System (DNS) endpoint resolves to the private IP address from within the DB cluster\'s virtual private cloud (VPC). It resolves to the public IP address from outside of the DB cluster\'s VPC. Access to the DB cluster is ultimately controlled by the security group it uses. That public access is not permitted if the security group assigned to the DB cluster doesn\'t permit it.
When the DB cluster isn\'t publicly accessible, it is an internal DB cluster with a DNS name that resolves to a private IP address.
Default: The default behavior varies depending on whether DBSubnetGroupName is specified.
If DBSubnetGroupName isn\'t specified, and PubliclyAccessible isn\'t specified, the following applies:
If the default VPC in the target Region doesn’t have an internet gateway attached to it, the DB cluster is private.
If the default VPC in the target Region has an internet gateway attached to it, the DB cluster is public.
If DBSubnetGroupName is specified, and PubliclyAccessible isn\'t specified, the following applies:
If the subnets are part of a VPC that doesn’t have an internet gateway attached to it, the DB cluster is private.
If the subnets are part of a VPC that has an internet gateway attached to it, the DB cluster is public.
Valid for: Multi-AZ DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$EnablePerformanceInsights' => 'Specifies whether to turn on Performance Insights for the DB cluster.
', 'RestoreDBInstanceFromDBSnapshotMessage$MultiAZ' => 'Specifies whether the DB instance is a Multi-AZ deployment.
This setting doesn\'t apply to RDS Custom.
Constraint: You can\'t specify the AvailabilityZone parameter if the DB instance is a Multi-AZ deployment.
Specifies whether the DB instance is publicly accessible.
When the DB instance is publicly accessible, its Domain Name System (DNS) endpoint resolves to the private IP address from within the DB instance\'s virtual private cloud (VPC). It resolves to the public IP address from outside of the DB instance\'s VPC. Access to the DB instance is ultimately controlled by the security group it uses. That public access is not permitted if the security group assigned to the DB instance doesn\'t permit it.
When the DB instance isn\'t publicly accessible, it is an internal DB instance with a DNS name that resolves to a private IP address.
For more information, see CreateDBInstance.
', 'RestoreDBInstanceFromDBSnapshotMessage$AutoMinorVersionUpgrade' => 'Specifies whether to automatically apply minor version upgrades to the DB instance during the maintenance window.
If you restore an RDS Custom DB instance, you must disable this parameter.
', 'RestoreDBInstanceFromDBSnapshotMessage$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the restored DB instance to snapshots of the DB instance.
In most cases, tags aren\'t copied by default. However, when you restore a DB instance from a DB snapshot, RDS checks whether you specify new tags. If yes, the new tags are added to the restored DB instance. If there are no new tags, RDS looks for the tags from the source DB instance for the DB snapshot, and then adds those tags to the restored DB instance.
For more information, see Copying tags to DB instance snapshots in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromDBSnapshotMessage$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping is disabled.
For more information about IAM database authentication, see IAM Database Authentication for MySQL and PostgreSQL in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceFromDBSnapshotMessage$UseDefaultProcessorFeatures' => 'Specifies whether the DB instance class of the DB instance uses its default processor features.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceFromDBSnapshotMessage$DeletionProtection' => 'Specifies whether to enable deletion protection for the DB instance. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled. For more information, see Deleting a DB Instance.
', 'RestoreDBInstanceFromDBSnapshotMessage$EnableCustomerOwnedIp' => 'Specifies whether to enable a customer-owned IP address (CoIP) for an RDS on Outposts DB instance.
A CoIP provides local or external connectivity to resources in your Outpost subnets through your on-premises network. For some use cases, a CoIP can provide lower latency for connections to the DB instance from outside of its virtual private cloud (VPC) on your local network.
This setting doesn\'t apply to RDS Custom.
For more information about RDS on Outposts, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
For more information about CoIPs, see Customer-owned IP addresses in the Amazon Web Services Outposts User Guide.
', 'RestoreDBInstanceFromDBSnapshotMessage$DedicatedLogVolume' => 'Specifies whether to enable a dedicated log volume (DLV) for the DB instance.
', 'RestoreDBInstanceFromS3Message$MultiAZ' => 'Specifies whether the DB instance is a Multi-AZ deployment. If the DB instance is a Multi-AZ deployment, you can\'t set the AvailabilityZone parameter.
Specifies whether to automatically apply minor engine upgrades to the DB instance during the maintenance window. By default, minor engine upgrades are not applied automatically.
', 'RestoreDBInstanceFromS3Message$PubliclyAccessible' => 'Specifies whether the DB instance is publicly accessible.
When the DB instance is publicly accessible, its Domain Name System (DNS) endpoint resolves to the private IP address from within the DB instance\'s virtual private cloud (VPC). It resolves to the public IP address from outside of the DB instance\'s VPC. Access to the DB instance is ultimately controlled by the security group it uses. That public access is not permitted if the security group assigned to the DB instance doesn\'t permit it.
When the DB instance isn\'t publicly accessible, it is an internal DB instance with a DNS name that resolves to a private IP address.
For more information, see CreateDBInstance.
', 'RestoreDBInstanceFromS3Message$StorageEncrypted' => 'Specifies whether the new DB instance is encrypted or not.
', 'RestoreDBInstanceFromS3Message$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the DB instance to snapshots of the DB instance. By default, tags are not copied.
', 'RestoreDBInstanceFromS3Message$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
For more information about IAM database authentication, see IAM Database Authentication for MySQL and PostgreSQL in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromS3Message$EnablePerformanceInsights' => 'Specifies whether to enable Performance Insights for the DB instance.
For more information, see Using Amazon Performance Insights in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromS3Message$UseDefaultProcessorFeatures' => 'Specifies whether the DB instance class of the DB instance uses its default processor features.
', 'RestoreDBInstanceFromS3Message$DeletionProtection' => 'Specifies whether to enable deletion protection for the DB instance. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled. For more information, see Deleting a DB Instance.
', 'RestoreDBInstanceFromS3Message$ManageMasterUserPassword' => 'Specifies whether to manage the master user password with Amazon Web Services Secrets Manager.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide.
Constraints:
Can\'t manage the master user password with Amazon Web Services Secrets Manager if MasterUserPassword is specified.
Specifies whether to enable a dedicated log volume (DLV) for the DB instance.
', 'RestoreDBInstanceToPointInTimeMessage$MultiAZ' => 'Secifies whether the DB instance is a Multi-AZ deployment.
This setting doesn\'t apply to RDS Custom.
Constraints:
You can\'t specify the AvailabilityZone parameter if the DB instance is a Multi-AZ deployment.
Specifies whether the DB instance is publicly accessible.
When the DB cluster is publicly accessible, its Domain Name System (DNS) endpoint resolves to the private IP address from within the DB cluster\'s virtual private cloud (VPC). It resolves to the public IP address from outside of the DB cluster\'s VPC. Access to the DB cluster is ultimately controlled by the security group it uses. That public access isn\'t permitted if the security group assigned to the DB cluster doesn\'t permit it.
When the DB instance isn\'t publicly accessible, it is an internal DB instance with a DNS name that resolves to a private IP address.
For more information, see CreateDBInstance.
', 'RestoreDBInstanceToPointInTimeMessage$AutoMinorVersionUpgrade' => 'Specifies whether minor version upgrades are applied automatically to the DB instance during the maintenance window.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceToPointInTimeMessage$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the restored DB instance to snapshots of the DB instance. By default, tags are not copied.
', 'RestoreDBInstanceToPointInTimeMessage$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
This setting doesn\'t apply to RDS Custom.
For more information about IAM database authentication, see IAM Database Authentication for MySQL and PostgreSQL in the Amazon RDS User Guide.
', 'RestoreDBInstanceToPointInTimeMessage$UseDefaultProcessorFeatures' => 'Specifies whether the DB instance class of the DB instance uses its default processor features.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceToPointInTimeMessage$DeletionProtection' => 'Specifies whether the DB instance has deletion protection enabled. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled. For more information, see Deleting a DB Instance.
', 'RestoreDBInstanceToPointInTimeMessage$EnableCustomerOwnedIp' => 'Specifies whether to enable a customer-owned IP address (CoIP) for an RDS on Outposts DB instance.
A CoIP provides local or external connectivity to resources in your Outpost subnets through your on-premises network. For some use cases, a CoIP can provide lower latency for connections to the DB instance from outside of its virtual private cloud (VPC) on your local network.
This setting doesn\'t apply to RDS Custom.
For more information about RDS on Outposts, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
For more information about CoIPs, see Customer-owned IP addresses in the Amazon Web Services Outposts User Guide.
', 'RestoreDBInstanceToPointInTimeMessage$DedicatedLogVolume' => 'Specifies whether to enable a dedicated log volume (DLV) for the DB instance.
', 'ScalingConfiguration$AutoPause' => 'Indicates whether to allow or disallow automatic pause for an Aurora DB cluster in serverless DB engine mode. A DB cluster can be paused only when it\'s idle (it has no connections).
If a DB cluster is paused for more than seven days, the DB cluster might be backed up with a snapshot. In this case, the DB cluster is restored when there is a request to connect to it.
Indicates whether automatic pause is allowed for the Aurora DB cluster in serverless DB engine mode.
When the value is set to false for an Aurora Serverless v1 DB cluster, the DB cluster automatically resumes.
', 'StartActivityStreamRequest$ApplyImmediately' => 'Specifies whether or not the database activity stream is to start as soon as possible, regardless of the maintenance window for the database.
', 'StartActivityStreamRequest$EngineNativeAuditFieldsIncluded' => 'Specifies whether the database activity stream includes engine-native audit fields. This option applies to an Oracle or Microsoft SQL Server DB instance. By default, no engine-native audit fields are included.
', 'StartActivityStreamResponse$EngineNativeAuditFieldsIncluded' => 'Indicates whether engine-native audit fields are included in the database activity stream.
', 'StopActivityStreamRequest$ApplyImmediately' => 'Specifies whether or not the database activity stream is to stop as soon as possible, regardless of the maintenance window for the database.
', 'UpgradeTarget$SupportsParallelQuery' => 'Indicates whether you can use Aurora parallel query with the target engine version.
', 'UpgradeTarget$SupportsGlobalDatabases' => 'Indicates whether you can use Aurora global databases with the target engine version.
', 'UpgradeTarget$SupportsBabelfish' => 'Indicates whether you can use Babelfish for Aurora PostgreSQL with the target engine version.
', 'UpgradeTarget$SupportsLimitlessDatabase' => 'Indicates whether the DB engine version supports Aurora Limitless Database.
', 'UpgradeTarget$SupportsLocalWriteForwarding' => 'Indicates whether the target engine version supports forwarding write operations from reader DB instances to the writer DB instance in the DB cluster. By default, write operations aren\'t allowed on reader DB instances.
Valid for: Aurora DB clusters only
', 'UpgradeTarget$SupportsIntegrations' => 'Indicates whether the DB engine version supports zero-ETL integrations with Amazon Redshift.
', ], ], 'BucketName' => [ 'base' => NULL, 'refs' => [ 'CreateCustomDBEngineVersionMessage$DatabaseInstallationFilesS3BucketName' => 'The name of an Amazon S3 bucket that contains database installation files for your CEV. For example, a valid bucket name is my-custom-installation-files.
A list of the supported CA certificate identifiers.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', ], ], 'CancelExportTaskMessage' => [ 'base' => NULL, 'refs' => [], ], 'Certificate' => [ 'base' => 'A CA certificate for an Amazon Web Services account.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'refs' => [ 'CertificateList$member' => NULL, 'ModifyCertificatesResult$Certificate' => NULL, ], ], 'CertificateDetails' => [ 'base' => 'The details of the DB instance’s server certificate.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'refs' => [ 'ClusterPendingModifiedValues$CertificateDetails' => NULL, 'DBCluster$CertificateDetails' => NULL, 'DBInstance$CertificateDetails' => 'The details of the DB instance\'s server certificate.
', ], ], 'CertificateList' => [ 'base' => NULL, 'refs' => [ 'CertificateMessage$Certificates' => 'The list of Certificate objects for the Amazon Web Services account.
Data returned by the DescribeCertificates action.
', 'refs' => [], ], 'CertificateNotFoundFault' => [ 'base' => ' CertificateIdentifier doesn\'t refer to an existing certificate.
This data type is used as a response element in the action DescribeDBEngineVersions.
The default character set for new instances of this engine version, if the CharacterSetName parameter of the CreateDBInstance API isn\'t specified.
The type of authentication the proxy uses for connections from clients.
', 'UserAuthConfigInfo$ClientPasswordAuthType' => 'The type of authentication the proxy uses for connections from clients.
', ], ], 'CloudwatchLogsExportConfiguration' => [ 'base' => 'The configuration setting for the log types to be enabled for export to CloudWatch Logs for a specific DB instance or DB cluster.
The EnableLogTypes and DisableLogTypes arrays determine which logs will be exported (or not exported) to CloudWatch Logs. The values within these arrays depend on the DB engine being used.
For more information about exporting CloudWatch Logs for Amazon RDS DB instances, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
For more information about exporting CloudWatch Logs for Amazon Aurora DB clusters, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon Aurora User Guide.
', 'refs' => [ 'ModifyDBClusterMessage$CloudwatchLogsExportConfiguration' => 'The configuration setting for the log types to be enabled for export to CloudWatch Logs for a specific DB cluster.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
The following values are valid for each DB engine:
Aurora MySQL - audit | error | general | slowquery
Aurora PostgreSQL - postgresql
RDS for MySQL - error | general | slowquery
RDS for PostgreSQL - postgresql | upgrade
For more information about exporting CloudWatch Logs for Amazon RDS, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
For more information about exporting CloudWatch Logs for Amazon Aurora, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon Aurora User Guide.
', 'ModifyDBInstanceMessage$CloudwatchLogsExportConfiguration' => 'The log types to be enabled for export to CloudWatch Logs for a specific DB instance.
A change to the CloudwatchLogsExportConfiguration parameter is always applied to the DB instance immediately. Therefore, the ApplyImmediately parameter has no effect.
This setting doesn\'t apply to RDS Custom DB instances.
The following values are valid for each DB engine:
Aurora MySQL - audit | error | general | slowquery
Aurora PostgreSQL - postgresql
RDS for MySQL - error | general | slowquery
RDS for PostgreSQL - postgresql | upgrade
For more information about exporting CloudWatch Logs for Amazon RDS, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
For more information about exporting CloudWatch Logs for Amazon Aurora, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon Aurora User Guide.
', ], ], 'ClusterPendingModifiedValues' => [ 'base' => 'This data type is used as a response element in the ModifyDBCluster operation and contains changes that will be applied during the next maintenance window.
Information about pending changes to the DB cluster. This information is returned only when there are pending changes. Specific changes are identified by subelements.
', ], ], 'ClusterScalabilityType' => [ 'base' => NULL, 'refs' => [ 'CreateDBClusterMessage$ClusterScalabilityType' => 'Specifies the scalability mode of the Aurora DB cluster. When set to limitless, the cluster operates as an Aurora Limitless Database. When set to standard (the default), the cluster uses normal DB instance creation.
Valid for: Aurora DB clusters only
You can\'t modify this setting after you create the DB cluster.
The scalability mode of the Aurora DB cluster. When set to limitless, the cluster operates as an Aurora Limitless Database. When set to standard (the default), the cluster uses normal DB instance creation.
Specifies the settings that control the size and behavior of the connection pool associated with a DBProxyTargetGroup.
The settings that determine the size and behavior of the connection pool for the target group.
', ], ], 'ConnectionPoolConfigurationInfo' => [ 'base' => 'Displays the settings that control the size and behavior of the connection pool associated with a DBProxyTarget.
The settings that determine the size and behavior of the connection pool for the target group.
', ], ], 'ContextAttribute' => [ 'base' => 'The additional attributes of RecommendedAction data type.
The supporting attributes to explain the recommended action.
', ], ], 'CopyDBClusterParameterGroupMessage' => [ 'base' => NULL, 'refs' => [], ], 'CopyDBClusterParameterGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'CopyDBClusterSnapshotMessage' => [ 'base' => '', 'refs' => [], ], 'CopyDBClusterSnapshotResult' => [ 'base' => NULL, 'refs' => [], ], 'CopyDBParameterGroupMessage' => [ 'base' => '', 'refs' => [], ], 'CopyDBParameterGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'CopyDBSnapshotMessage' => [ 'base' => '', 'refs' => [], ], 'CopyDBSnapshotResult' => [ 'base' => NULL, 'refs' => [], ], 'CopyOptionGroupMessage' => [ 'base' => '', 'refs' => [], ], 'CopyOptionGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateBlueGreenDeploymentRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateBlueGreenDeploymentResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateCustomDBEngineVersionFault' => [ 'base' => 'An error occurred while trying to create the CEV.
', 'refs' => [], ], 'CreateCustomDBEngineVersionMessage' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBClusterEndpointMessage' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBClusterMessage' => [ 'base' => '', 'refs' => [], ], 'CreateDBClusterParameterGroupMessage' => [ 'base' => '', 'refs' => [], ], 'CreateDBClusterParameterGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBClusterSnapshotMessage' => [ 'base' => '', 'refs' => [], ], 'CreateDBClusterSnapshotResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBInstanceMessage' => [ 'base' => '', 'refs' => [], ], 'CreateDBInstanceReadReplicaMessage' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBInstanceReadReplicaResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBInstanceResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBParameterGroupMessage' => [ 'base' => '', 'refs' => [], ], 'CreateDBParameterGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBProxyEndpointRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBProxyEndpointResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBProxyRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBProxyResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBSecurityGroupMessage' => [ 'base' => '', 'refs' => [], ], 'CreateDBSecurityGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBShardGroupMessage' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBSnapshotMessage' => [ 'base' => '', 'refs' => [], ], 'CreateDBSnapshotResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBSubnetGroupMessage' => [ 'base' => '', 'refs' => [], ], 'CreateDBSubnetGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateEventSubscriptionMessage' => [ 'base' => '', 'refs' => [], ], 'CreateEventSubscriptionResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateGlobalClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'CreateGlobalClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateIntegrationMessage' => [ 'base' => NULL, 'refs' => [], ], 'CreateOptionGroupMessage' => [ 'base' => '', 'refs' => [], ], 'CreateOptionGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateTenantDatabaseMessage' => [ 'base' => NULL, 'refs' => [], ], 'CreateTenantDatabaseResult' => [ 'base' => NULL, 'refs' => [], ], 'CustomAvailabilityZoneNotFoundFault' => [ 'base' => ' CustomAvailabilityZoneId doesn\'t refer to an existing custom Availability Zone identifier.
A value that indicates the AMI information.
', 'refs' => [ 'DBEngineVersion$Image' => 'The EC2 image
', ], ], 'CustomDBEngineVersionAlreadyExistsFault' => [ 'base' => 'A CEV with the specified name already exists.
', 'refs' => [], ], 'CustomDBEngineVersionManifest' => [ 'base' => NULL, 'refs' => [ 'CreateCustomDBEngineVersionMessage$Manifest' => 'The CEV manifest, which is a JSON document that describes the installation .zip files stored in Amazon S3. Specify the name/value pairs in a file or a quoted string. RDS Custom applies the patches in the order in which they are listed.
The following JSON fields are valid:
Version of the CEV manifest. The date is in the format YYYY-MM-DD.
Ordered list of installation files for the CEV.
Ordered list of OPatch installers used for the Oracle DB engine.
The PSU and RU patches for this CEV.
The patches that are not in the list of PSU and RU patches. Amazon RDS applies these patches after applying the PSU and RU patches.
For more information, see Creating the CEV manifest in the Amazon RDS User Guide.
', 'DBEngineVersion$CustomDBEngineVersionManifest' => 'JSON string that lists the installation files and parameters that RDS Custom uses to create a custom engine version (CEV). RDS Custom applies the patches in the order in which they\'re listed in the manifest. You can set the Oracle home, Oracle base, and UNIX/Linux user and group using the installation parameters. For more information, see JSON fields in the CEV manifest in the Amazon RDS User Guide.
', ], ], 'CustomDBEngineVersionNotFoundFault' => [ 'base' => 'The specified CEV was not found.
', 'refs' => [], ], 'CustomDBEngineVersionQuotaExceededFault' => [ 'base' => 'You have exceeded your CEV quota.
', 'refs' => [], ], 'CustomEngineName' => [ 'base' => NULL, 'refs' => [ 'CreateCustomDBEngineVersionMessage$Engine' => 'The database engine. RDS Custom for Oracle supports the following values:
custom-oracle-ee
custom-oracle-ee-cdb
custom-oracle-se2
custom-oracle-se2-cdb
The database engine. RDS Custom for Oracle supports the following values:
custom-oracle-ee
custom-oracle-ee-cdb
custom-oracle-se2
custom-oracle-se2-cdb
The database engine. RDS Custom for Oracle supports the following values:
custom-oracle-ee
custom-oracle-ee-cdb
custom-oracle-se2
custom-oracle-se2-cdb
The name of your CEV. The name format is 19.customized_string. For example, a valid CEV name is 19.my_cev1. This setting is required for RDS Custom for Oracle, but optional for Amazon RDS. The combination of Engine and EngineVersion is unique per customer per Region.
The custom engine version (CEV) for your DB instance. This option is required for RDS Custom, but optional for Amazon RDS. The combination of Engine and EngineVersion is unique per customer per Amazon Web Services Region.
The custom engine version (CEV) that you want to modify. This option is required for RDS Custom for Oracle, but optional for Amazon RDS. The combination of Engine and EngineVersion is unique per customer per Amazon Web Services Region.
The availability status to be assigned to the CEV. Valid values are as follows:
You can use this CEV to create a new RDS Custom DB instance.
You can create a new RDS Custom instance by restoring a DB snapshot with this CEV. You can\'t patch or create new instances with this CEV.
You can change any status to any status. A typical reason to change status is to prevent the accidental use of a CEV, or to make a deprecated CEV eligible for use again. For example, you might change the status of your CEV from available to inactive, and from inactive back to available. To change the availability status of the CEV, it must not currently be in use by an RDS Custom instance, snapshot, or automated backup.
Contains the details of an Amazon Aurora DB cluster or Multi-AZ DB cluster.
For an Amazon Aurora DB cluster, this data type is used as a response element in the operations CreateDBCluster, DeleteDBCluster, DescribeDBClusters, FailoverDBCluster, ModifyDBCluster, PromoteReadReplicaDBCluster, RestoreDBClusterFromS3, RestoreDBClusterFromSnapshot, RestoreDBClusterToPointInTime, StartDBCluster, and StopDBCluster.
For a Multi-AZ DB cluster, this data type is used as a response element in the operations CreateDBCluster, DeleteDBCluster, DescribeDBClusters, FailoverDBCluster, ModifyDBCluster, RebootDBCluster, RestoreDBClusterFromSnapshot, and RestoreDBClusterToPointInTime.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ deployments with two readable standby DB instances in the Amazon RDS User Guide.
', 'refs' => [ 'CreateDBClusterResult$DBCluster' => NULL, 'DBClusterList$member' => NULL, 'DeleteDBClusterResult$DBCluster' => NULL, 'FailoverDBClusterResult$DBCluster' => NULL, 'ModifyDBClusterResult$DBCluster' => NULL, 'PromoteReadReplicaDBClusterResult$DBCluster' => NULL, 'RebootDBClusterResult$DBCluster' => NULL, 'RestoreDBClusterFromS3Result$DBCluster' => NULL, 'RestoreDBClusterFromSnapshotResult$DBCluster' => NULL, 'RestoreDBClusterToPointInTimeResult$DBCluster' => NULL, 'StartDBClusterResult$DBCluster' => NULL, 'StopDBClusterResult$DBCluster' => NULL, ], ], 'DBClusterAlreadyExistsFault' => [ 'base' => 'The user already has a DB cluster with the given identifier.
', 'refs' => [], ], 'DBClusterAutomatedBackup' => [ 'base' => 'An automated backup of a DB cluster. It consists of system backups, transaction logs, and the database cluster properties that existed at the time you deleted the source cluster.
', 'refs' => [ 'DBClusterAutomatedBackupList$member' => NULL, 'DeleteDBClusterAutomatedBackupResult$DBClusterAutomatedBackup' => NULL, ], ], 'DBClusterAutomatedBackupList' => [ 'base' => NULL, 'refs' => [ 'DBClusterAutomatedBackupMessage$DBClusterAutomatedBackups' => 'A list of DBClusterAutomatedBackup backups.
No automated backup for this DB cluster was found.
', 'refs' => [], ], 'DBClusterAutomatedBackupQuotaExceededFault' => [ 'base' => 'The quota for retained automated backups was exceeded. This prevents you from retaining any additional automated backups. The retained automated backups quota is the same as your DB cluster quota.
', 'refs' => [], ], 'DBClusterBacktrack' => [ 'base' => 'This data type is used as a response element in the DescribeDBClusterBacktracks action.
Contains a list of backtracks for the user.
', ], ], 'DBClusterBacktrackMessage' => [ 'base' => 'Contains the result of a successful invocation of the DescribeDBClusterBacktracks action.
BacktrackIdentifier doesn\'t refer to an existing backtrack.
This data type represents the information you need to connect to an Amazon Aurora DB cluster. This data type is used as a response element in the following actions:
CreateDBClusterEndpoint
DescribeDBClusterEndpoints
ModifyDBClusterEndpoint
DeleteDBClusterEndpoint
For the data structure that represents Amazon RDS DB instance endpoints, see Endpoint.
The specified custom endpoint can\'t be created because it already exists.
', 'refs' => [], ], 'DBClusterEndpointList' => [ 'base' => NULL, 'refs' => [ 'DBClusterEndpointMessage$DBClusterEndpoints' => 'Contains the details of the endpoints associated with the cluster and matching any filter conditions.
', ], ], 'DBClusterEndpointMessage' => [ 'base' => NULL, 'refs' => [], ], 'DBClusterEndpointNotFoundFault' => [ 'base' => 'The specified custom endpoint doesn\'t exist.
', 'refs' => [], ], 'DBClusterEndpointQuotaExceededFault' => [ 'base' => 'The cluster already has the maximum number of custom endpoints.
', 'refs' => [], ], 'DBClusterIdentifier' => [ 'base' => NULL, 'refs' => [ 'FailoverGlobalClusterMessage$TargetDbClusterIdentifier' => 'The identifier of the secondary Aurora DB cluster that you want to promote to the primary for the global database cluster. Use the Amazon Resource Name (ARN) for the identifier so that Aurora can locate the cluster in its Amazon Web Services Region.
', 'SwitchoverGlobalClusterMessage$TargetDbClusterIdentifier' => 'The identifier of the secondary Aurora DB cluster to promote to the new primary for the global database cluster. Use the Amazon Resource Name (ARN) for the identifier so that Aurora can locate the cluster in its Amazon Web Services Region.
', ], ], 'DBClusterList' => [ 'base' => NULL, 'refs' => [ 'DBClusterMessage$DBClusters' => 'Contains a list of DB clusters for the user.
', ], ], 'DBClusterMember' => [ 'base' => 'Contains information about an instance that is part of a DB cluster.
', 'refs' => [ 'DBClusterMemberList$member' => NULL, ], ], 'DBClusterMemberList' => [ 'base' => NULL, 'refs' => [ 'DBCluster$DBClusterMembers' => 'The list of DB instances that make up the DB cluster.
', ], ], 'DBClusterMessage' => [ 'base' => 'Contains the result of a successful invocation of the DescribeDBClusters action.
DBClusterIdentifier doesn\'t refer to an existing DB cluster.
The list of option group memberships for this DB cluster.
', ], ], 'DBClusterOptionGroupStatus' => [ 'base' => 'Contains status information for a DB cluster option group.
', 'refs' => [ 'DBClusterOptionGroupMemberships$member' => NULL, ], ], 'DBClusterParameterGroup' => [ 'base' => 'Contains the details of an Amazon RDS DB cluster parameter group.
This data type is used as a response element in the DescribeDBClusterParameterGroups action.
Provides details about a DB cluster parameter group including the parameters in the DB cluster parameter group.
', 'refs' => [], ], 'DBClusterParameterGroupList' => [ 'base' => NULL, 'refs' => [ 'DBClusterParameterGroupsMessage$DBClusterParameterGroups' => 'A list of DB cluster parameter groups.
', ], ], 'DBClusterParameterGroupNameMessage' => [ 'base' => '', 'refs' => [], ], 'DBClusterParameterGroupNotFoundFault' => [ 'base' => ' DBClusterParameterGroupName doesn\'t refer to an existing DB cluster parameter group.
The user attempted to create a new DB cluster and the user has already reached the maximum allowed DB cluster quota.
', 'refs' => [], ], 'DBClusterRole' => [ 'base' => 'Describes an Amazon Web Services Identity and Access Management (IAM) role that is associated with a DB cluster.
', 'refs' => [ 'DBClusterRoles$member' => NULL, ], ], 'DBClusterRoleAlreadyExistsFault' => [ 'base' => 'The specified IAM role Amazon Resource Name (ARN) is already associated with the specified DB cluster.
', 'refs' => [], ], 'DBClusterRoleNotFoundFault' => [ 'base' => 'The specified IAM role Amazon Resource Name (ARN) isn\'t associated with the specified DB cluster.
', 'refs' => [], ], 'DBClusterRoleQuotaExceededFault' => [ 'base' => 'You have exceeded the maximum number of IAM roles that can be associated with the specified DB cluster.
', 'refs' => [], ], 'DBClusterRoles' => [ 'base' => NULL, 'refs' => [ 'DBCluster$AssociatedRoles' => 'A list of the Amazon Web Services Identity and Access Management (IAM) roles that are associated with the DB cluster. IAM roles that are associated with a DB cluster grant permission for the DB cluster to access other Amazon Web Services on your behalf.
', ], ], 'DBClusterSnapshot' => [ 'base' => 'Contains the details for an Amazon RDS DB cluster snapshot
This data type is used as a response element in the DescribeDBClusterSnapshots action.
The user already has a DB cluster snapshot with the given identifier.
', 'refs' => [], ], 'DBClusterSnapshotAttribute' => [ 'base' => 'Contains the name and values of a manual DB cluster snapshot attribute.
Manual DB cluster snapshot attributes are used to authorize other Amazon Web Services accounts to restore a manual DB cluster snapshot. For more information, see the ModifyDBClusterSnapshotAttribute API action.
The list of attributes and values for the manual DB cluster snapshot.
', ], ], 'DBClusterSnapshotAttributesResult' => [ 'base' => 'Contains the results of a successful call to the DescribeDBClusterSnapshotAttributes API action.
Manual DB cluster snapshot attributes are used to authorize other Amazon Web Services accounts to copy or restore a manual DB cluster snapshot. For more information, see the ModifyDBClusterSnapshotAttribute API action.
Provides a list of DB cluster snapshots for the user.
', ], ], 'DBClusterSnapshotMessage' => [ 'base' => 'Provides a list of DB cluster snapshots for the user as the result of a call to the DescribeDBClusterSnapshots action.
DBClusterSnapshotIdentifier doesn\'t refer to an existing DB cluster snapshot.
Reserved for future use.
', 'refs' => [ 'DBClusterStatusInfoList$member' => NULL, ], ], 'DBClusterStatusInfoList' => [ 'base' => NULL, 'refs' => [ 'DBCluster$StatusInfos' => 'Reserved for future use.
', ], ], 'DBEngineVersion' => [ 'base' => 'This data type is used as a response element in the action DescribeDBEngineVersions.
A list of DBEngineVersion elements.
Contains the result of a successful invocation of the DescribeDBEngineVersions action.
Contains the details of an Amazon RDS DB instance.
This data type is used as a response element in the operations CreateDBInstance, CreateDBInstanceReadReplica, DeleteDBInstance, DescribeDBInstances, ModifyDBInstance, PromoteReadReplica, RebootDBInstance, RestoreDBInstanceFromDBSnapshot, RestoreDBInstanceFromS3, RestoreDBInstanceToPointInTime, StartDBInstance, and StopDBInstance.
The user already has a DB instance with the given identifier.
', 'refs' => [], ], 'DBInstanceAutomatedBackup' => [ 'base' => 'An automated backup of a DB instance. It consists of system backups, transaction logs, and the database instance properties that existed at the time you deleted the source instance.
', 'refs' => [ 'DBInstanceAutomatedBackupList$member' => NULL, 'DeleteDBInstanceAutomatedBackupResult$DBInstanceAutomatedBackup' => NULL, 'StartDBInstanceAutomatedBackupsReplicationResult$DBInstanceAutomatedBackup' => NULL, 'StopDBInstanceAutomatedBackupsReplicationResult$DBInstanceAutomatedBackup' => NULL, ], ], 'DBInstanceAutomatedBackupList' => [ 'base' => NULL, 'refs' => [ 'DBInstanceAutomatedBackupMessage$DBInstanceAutomatedBackups' => 'A list of DBInstanceAutomatedBackup instances.
Contains the result of a successful invocation of the DescribeDBInstanceAutomatedBackups action.
No automated backup for this DB instance was found.
', 'refs' => [], ], 'DBInstanceAutomatedBackupQuotaExceededFault' => [ 'base' => 'The quota for retained automated backups was exceeded. This prevents you from retaining any additional automated backups. The retained automated backups quota is the same as your DB instance quota.
', 'refs' => [], ], 'DBInstanceAutomatedBackupsReplication' => [ 'base' => 'Automated backups of a DB instance replicated to another Amazon Web Services Region. They consist of system backups, transaction logs, and database instance properties.
', 'refs' => [ 'DBInstanceAutomatedBackupsReplicationList$member' => NULL, ], ], 'DBInstanceAutomatedBackupsReplicationList' => [ 'base' => NULL, 'refs' => [ 'DBInstance$DBInstanceAutomatedBackupsReplications' => 'The list of replicated automated backups associated with the DB instance.
', 'DBInstanceAutomatedBackup$DBInstanceAutomatedBackupsReplications' => 'The list of replications to different Amazon Web Services Regions associated with the automated backup.
', ], ], 'DBInstanceList' => [ 'base' => NULL, 'refs' => [ 'DBInstanceMessage$DBInstances' => 'A list of DBInstance instances.
Contains the result of a successful invocation of the DescribeDBInstances action.
DBInstanceIdentifier doesn\'t refer to an existing DB instance.
An attempt to download or examine log files didn\'t succeed because an Aurora Serverless v2 instance was paused.
', 'refs' => [], ], 'DBInstanceRole' => [ 'base' => 'Information about an Amazon Web Services Identity and Access Management (IAM) role that is associated with a DB instance.
', 'refs' => [ 'DBInstanceRoles$member' => NULL, ], ], 'DBInstanceRoleAlreadyExistsFault' => [ 'base' => 'The specified RoleArn or FeatureName value is already associated with the DB instance.
The specified RoleArn value doesn\'t match the specified feature for the DB instance.
You can\'t associate any more Amazon Web Services Identity and Access Management (IAM) roles with the DB instance because the quota has been reached.
', 'refs' => [], ], 'DBInstanceRoles' => [ 'base' => NULL, 'refs' => [ 'DBInstance$AssociatedRoles' => 'The Amazon Web Services Identity and Access Management (IAM) roles associated with the DB instance.
', ], ], 'DBInstanceStatusInfo' => [ 'base' => 'Provides a list of status information for a DB instance.
', 'refs' => [ 'DBInstanceStatusInfoList$member' => NULL, ], ], 'DBInstanceStatusInfoList' => [ 'base' => NULL, 'refs' => [ 'DBInstance$StatusInfos' => 'The status of a read replica. If the DB instance isn\'t a read replica, the value is blank.
', ], ], 'DBLogFileNotFoundFault' => [ 'base' => ' LogFileName doesn\'t refer to an existing DB log file.
Contains the details of an Amazon RDS DB parameter group.
This data type is used as a response element in the DescribeDBParameterGroups action.
A DB parameter group with the same name exists.
', 'refs' => [], ], 'DBParameterGroupDetails' => [ 'base' => 'Contains the result of a successful invocation of the DescribeDBParameters action.
A list of DBParameterGroup instances.
Contains the result of a successful invocation of the ModifyDBParameterGroup or ResetDBParameterGroup operation.
DBParameterGroupName doesn\'t refer to an existing DB parameter group.
The request would result in the user exceeding the allowed number of DB parameter groups.
', 'refs' => [], ], 'DBParameterGroupStatus' => [ 'base' => 'The status of the DB parameter group.
This data type is used as a response element in the following actions:
CreateDBInstance
CreateDBInstanceReadReplica
DeleteDBInstance
ModifyDBInstance
RebootDBInstance
RestoreDBInstanceFromDBSnapshot
The list of DB parameter groups applied to this DB instance.
', ], ], 'DBParameterGroupsMessage' => [ 'base' => 'Contains the result of a successful invocation of the DescribeDBParameterGroups action.
The data structure representing a proxy managed by the RDS Proxy.
This data type is used as a response element in the DescribeDBProxies action.
The DBProxy structure corresponding to the new proxy.
The data structure representing the details of the DB proxy that you delete.
', 'ModifyDBProxyResponse$DBProxy' => 'The DBProxy object representing the new settings for the proxy.
The specified proxy name must be unique for all proxies owned by your Amazon Web Services account in the specified Amazon Web Services Region.
', 'refs' => [], ], 'DBProxyEndpoint' => [ 'base' => 'The data structure representing an endpoint associated with a DB proxy. RDS automatically creates one endpoint for each DB proxy. For Aurora DB clusters, you can associate additional endpoints with the same DB proxy. These endpoints can be read/write or read-only. They can also reside in different VPCs than the associated DB proxy.
This data type is used as a response element in the DescribeDBProxyEndpoints operation.
The DBProxyEndpoint object that is created by the API operation. The DB proxy endpoint that you create might provide capabilities such as read/write or read-only operations, or using a different VPC than the proxy\'s default VPC.
The data structure representing the details of the DB proxy endpoint that you delete.
', 'ModifyDBProxyEndpointResponse$DBProxyEndpoint' => 'The DBProxyEndpoint object representing the new settings for the DB proxy endpoint.
The specified DB proxy endpoint name must be unique for all DB proxy endpoints owned by your Amazon Web Services account in the specified Amazon Web Services Region.
', 'refs' => [], ], 'DBProxyEndpointList' => [ 'base' => NULL, 'refs' => [ 'DescribeDBProxyEndpointsResponse$DBProxyEndpoints' => 'The list of ProxyEndpoint objects returned by the API operation.
The name of the DB proxy endpoint to create.
', 'DeleteDBProxyEndpointRequest$DBProxyEndpointName' => 'The name of the DB proxy endpoint to delete.
', 'DescribeDBProxyEndpointsRequest$DBProxyEndpointName' => 'The name of a DB proxy endpoint to describe. If you omit this parameter, the output includes information about all DB proxy endpoints associated with the specified proxy.
', 'ModifyDBProxyEndpointRequest$DBProxyEndpointName' => 'The name of the DB proxy sociated with the DB proxy endpoint that you want to modify.
', 'ModifyDBProxyEndpointRequest$NewDBProxyEndpointName' => 'The new identifier for the DBProxyEndpoint. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens; it can\'t end with a hyphen or contain two consecutive hyphens.
The DB proxy endpoint doesn\'t exist.
', 'refs' => [], ], 'DBProxyEndpointQuotaExceededFault' => [ 'base' => 'The DB proxy already has the maximum number of endpoints.
', 'refs' => [], ], 'DBProxyEndpointStatus' => [ 'base' => NULL, 'refs' => [ 'DBProxyEndpoint$Status' => 'The current status of this DB proxy endpoint. A status of available means the endpoint is ready to handle requests. Other values indicate that you must wait for the endpoint to be ready, or take some action to resolve an issue.
The role of the DB proxy endpoint. The role determines whether the endpoint can be used for read/write or only read operations. The default is READ_WRITE. The only role that proxies for RDS for Microsoft SQL Server support is READ_WRITE.
A value that indicates whether the DB proxy endpoint can be used for read/write or read-only operations.
', ], ], 'DBProxyList' => [ 'base' => NULL, 'refs' => [ 'DescribeDBProxiesResponse$DBProxies' => 'A return value representing an arbitrary number of DBProxy data structures.
The name of the DB proxy associated with the DB proxy endpoint that you create.
', 'DescribeDBProxyEndpointsRequest$DBProxyName' => 'The name of the DB proxy whose endpoints you want to describe. If you omit this parameter, the output includes information about all DB proxy endpoints associated with all your DB proxies.
', ], ], 'DBProxyNotFoundFault' => [ 'base' => 'The specified proxy name doesn\'t correspond to a proxy owned by your Amazon Web Services account in the specified Amazon Web Services Region.
', 'refs' => [], ], 'DBProxyQuotaExceededFault' => [ 'base' => 'Your Amazon Web Services account already has the maximum number of proxies in the specified Amazon Web Services Region.
', 'refs' => [], ], 'DBProxyStatus' => [ 'base' => NULL, 'refs' => [ 'DBProxy$Status' => 'The current status of this proxy. A status of available means the proxy is ready to handle requests. Other values indicate that you must wait for the proxy to be ready, or take some action to resolve an issue.
Contains the details for an RDS Proxy target. It represents an RDS DB instance or Aurora DB cluster that the proxy can connect to. One or more targets are associated with an RDS Proxy target group.
This data type is used as a response element in the DescribeDBProxyTargets action.
The proxy is already associated with the specified RDS DB instance or Aurora DB cluster.
', 'refs' => [], ], 'DBProxyTargetGroup' => [ 'base' => 'Represents a set of RDS DB instances, Aurora DB clusters, or both that a proxy can connect to. Currently, each target group is associated with exactly one RDS DB instance or Aurora DB cluster.
This data type is used as a response element in the DescribeDBProxyTargetGroups action.
The settings of the modified DBProxyTarget.
The specified target group isn\'t available for a proxy owned by your Amazon Web Services account in the specified Amazon Web Services Region.
', 'refs' => [], ], 'DBProxyTargetNotFoundFault' => [ 'base' => 'The specified RDS DB instance or Aurora DB cluster isn\'t available for a proxy owned by your Amazon Web Services account in the specified Amazon Web Services Region.
', 'refs' => [], ], 'DBRecommendation' => [ 'base' => 'The recommendation for your DB instances, DB clusters, and DB parameter groups.
', 'refs' => [ 'DBRecommendationList$member' => NULL, 'DBRecommendationMessage$DBRecommendation' => NULL, ], ], 'DBRecommendationList' => [ 'base' => NULL, 'refs' => [ 'DBRecommendationsMessage$DBRecommendations' => 'A list of recommendations which is returned from DescribeDBRecommendations API request.
Contains the details for an Amazon RDS DB security group.
This data type is used as a response element in the DescribeDBSecurityGroups action.
A DB security group with the name specified in DBSecurityGroupName already exists.
This data type is used as a response element in the following actions:
ModifyDBInstance
RebootDBInstance
RestoreDBInstanceFromDBSnapshot
RestoreDBInstanceToPointInTime
A list of DB security group elements containing DBSecurityGroup.Name and DBSecurityGroup.Status subelements.
If the option requires access to a port, then this DB security group allows access to the port.
', ], ], 'DBSecurityGroupMessage' => [ 'base' => 'Contains the result of a successful invocation of the DescribeDBSecurityGroups action.
A list of DB security groups to associate with this DB instance.
This setting applies to the legacy EC2-Classic platform, which is no longer used to create new DB instances. Use the VpcSecurityGroupIds setting instead.
A list of DB security groups to authorize on this DB instance. Changing this setting doesn\'t result in an outage and the change is asynchronously applied as soon as possible.
This setting doesn\'t apply to RDS Custom DB instances.
Constraints:
If supplied, must match existing DB security groups.
A list of DB security groups used for this option.
', 'RestoreDBInstanceFromS3Message$DBSecurityGroups' => 'A list of DB security groups to associate with this DB instance.
Default: The default DB security group for the database engine.
', ], ], 'DBSecurityGroupNotFoundFault' => [ 'base' => ' DBSecurityGroupName doesn\'t refer to an existing DB security group.
A DB security group isn\'t allowed for this action.
', 'refs' => [], ], 'DBSecurityGroupQuotaExceededFault' => [ 'base' => 'The request would result in the user exceeding the allowed number of DB security groups.
', 'refs' => [], ], 'DBSecurityGroups' => [ 'base' => NULL, 'refs' => [ 'DBSecurityGroupMessage$DBSecurityGroups' => 'A list of DBSecurityGroup instances.
Contains the details for an Amazon RDS DB shard group.
', 'refs' => [ 'DBShardGroupsList$member' => NULL, ], ], 'DBShardGroupAlreadyExistsFault' => [ 'base' => 'The specified DB shard group name must be unique in your Amazon Web Services account in the specified Amazon Web Services Region.
', 'refs' => [], ], 'DBShardGroupIdentifier' => [ 'base' => NULL, 'refs' => [ 'DBShardGroup$DBShardGroupIdentifier' => 'The name of the DB shard group.
', 'DeleteDBShardGroupMessage$DBShardGroupIdentifier' => 'The name of the DB shard group to delete.
', 'DescribeDBShardGroupsMessage$DBShardGroupIdentifier' => 'The user-supplied DB shard group identifier. If this parameter is specified, information for only the specific DB shard group is returned. This parameter isn\'t case-sensitive.
Constraints:
If supplied, must match an existing DB shard group identifier.
The name of the DB shard group to modify.
', 'RebootDBShardGroupMessage$DBShardGroupIdentifier' => 'The name of the DB shard group to reboot.
', ], ], 'DBShardGroupNotFoundFault' => [ 'base' => 'The specified DB shard group name wasn\'t found.
', 'refs' => [], ], 'DBShardGroupsList' => [ 'base' => NULL, 'refs' => [ 'DescribeDBShardGroupsResponse$DBShardGroups' => 'Contains a list of DB shard groups for the user.
', ], ], 'DBSnapshot' => [ 'base' => 'Contains the details of an Amazon RDS DB snapshot.
This data type is used as a response element in the DescribeDBSnapshots action.
DBSnapshotIdentifier is already used by an existing snapshot.
Contains the name and values of a manual DB snapshot attribute
Manual DB snapshot attributes are used to authorize other Amazon Web Services accounts to restore a manual DB snapshot. For more information, see the ModifyDBSnapshotAttribute API.
The list of attributes and values for the manual DB snapshot.
', ], ], 'DBSnapshotAttributesResult' => [ 'base' => 'Contains the results of a successful call to the DescribeDBSnapshotAttributes API action.
Manual DB snapshot attributes are used to authorize other Amazon Web Services accounts to copy or restore a manual DB snapshot. For more information, see the ModifyDBSnapshotAttribute API action.
A list of DBSnapshot instances.
Contains the result of a successful invocation of the DescribeDBSnapshots action.
DBSnapshotIdentifier doesn\'t refer to an existing DB snapshot.
Contains the details of a tenant database in a snapshot of a DB instance.
', 'refs' => [ 'DBSnapshotTenantDatabasesList$member' => NULL, ], ], 'DBSnapshotTenantDatabaseNotFoundFault' => [ 'base' => 'The specified snapshot tenant database wasn\'t found.
', 'refs' => [], ], 'DBSnapshotTenantDatabasesList' => [ 'base' => NULL, 'refs' => [ 'DBSnapshotTenantDatabasesMessage$DBSnapshotTenantDatabases' => 'A list of DB snapshot tenant databases.
', ], ], 'DBSnapshotTenantDatabasesMessage' => [ 'base' => NULL, 'refs' => [], ], 'DBSubnetGroup' => [ 'base' => 'Contains the details of an Amazon RDS DB subnet group.
This data type is used as a response element in the DescribeDBSubnetGroups action.
Information about the subnet group associated with the DB instance, including the name, description, and subnets in the subnet group.
', 'DBSubnetGroups$member' => NULL, 'ModifyDBSubnetGroupResult$DBSubnetGroup' => NULL, ], ], 'DBSubnetGroupAlreadyExistsFault' => [ 'base' => ' DBSubnetGroupName is already used by an existing DB subnet group.
Subnets in the DB subnet group should cover at least two Availability Zones unless there is only one Availability Zone.
', 'refs' => [], ], 'DBSubnetGroupMessage' => [ 'base' => 'Contains the result of a successful invocation of the DescribeDBSubnetGroups action.
The DBSubnetGroup shouldn\'t be specified while creating read replicas that lie in the same region as the source instance.
', 'refs' => [], ], 'DBSubnetGroupNotFoundFault' => [ 'base' => ' DBSubnetGroupName doesn\'t refer to an existing DB subnet group.
The request would result in the user exceeding the allowed number of DB subnet groups.
', 'refs' => [], ], 'DBSubnetGroups' => [ 'base' => NULL, 'refs' => [ 'DBSubnetGroupMessage$DBSubnetGroups' => 'A list of DBSubnetGroup instances.
The request would result in the user exceeding the allowed number of subnets in a DB subnet groups.
', 'refs' => [], ], 'DBUpgradeDependencyFailureFault' => [ 'base' => 'The DB upgrade failed because a resource the DB depends on can\'t be modified.
', 'refs' => [], ], 'DataFilter' => [ 'base' => NULL, 'refs' => [ 'CreateIntegrationMessage$DataFilter' => 'Data filtering options for the integration. For more information, see Data filtering for Aurora zero-ETL integrations with Amazon Redshift.
Valid for: Integrations with Aurora MySQL source DB clusters only
', 'Integration$DataFilter' => 'Data filters for the integration. These filters determine which tables from the source database are sent to the target Amazon Redshift data warehouse.
', 'ModifyIntegrationMessage$DataFilter' => 'A new data filter for the integration. For more information, see Data filtering for Aurora zero-ETL integrations with Amazon Redshift.
', ], ], 'DatabaseArn' => [ 'base' => NULL, 'refs' => [ 'BlueGreenDeployment$Source' => 'The source database for the blue/green deployment.
Before switchover, the source database is the production database in the blue environment.
', 'BlueGreenDeployment$Target' => 'The target database for the blue/green deployment.
Before switchover, the target database is the clone database in the green environment.
', 'CreateBlueGreenDeploymentRequest$Source' => 'The Amazon Resource Name (ARN) of the source production database.
Specify the database that you want to clone. The blue/green deployment creates this database in the green environment. You can make updates to the database in the green environment, such as an engine version upgrade. When you are ready, you can switch the database in the green environment to be the production database.
', 'SwitchoverDetail$SourceMember' => 'The Amazon Resource Name (ARN) of a resource in the blue environment.
', 'SwitchoverDetail$TargetMember' => 'The Amazon Resource Name (ARN) of a resource in the green environment.
', ], ], 'DatabaseInsightsMode' => [ 'base' => NULL, 'refs' => [ 'CreateDBClusterMessage$DatabaseInsightsMode' => 'The mode of Database Insights to enable for the DB cluster.
If you set this value to advanced, you must also set the PerformanceInsightsEnabled parameter to true and the PerformanceInsightsRetentionPeriod parameter to 465.
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBInstanceMessage$DatabaseInsightsMode' => 'The mode of Database Insights to enable for the DB instance.
This setting only applies to Amazon Aurora DB instances.
Currently, this value is inherited from the DB cluster and can\'t be changed.
The mode of Database Insights to enable for the read replica.
Currently, this setting is not supported.
The mode of Database Insights that is enabled for the DB cluster.
', 'DBInstance$DatabaseInsightsMode' => 'The mode of Database Insights that is enabled for the instance.
', 'ModifyDBClusterMessage$DatabaseInsightsMode' => 'Specifies the mode of Database Insights to enable for the DB cluster.
If you change the value from standard to advanced, you must set the PerformanceInsightsEnabled parameter to true and the PerformanceInsightsRetentionPeriod parameter to 465.
If you change the value from advanced to standard, you must set the PerformanceInsightsEnabled parameter to false.
Valid for Cluster Type: Aurora DB clusters only
', 'ModifyDBInstanceMessage$DatabaseInsightsMode' => 'Specifies the mode of Database Insights to enable for the DB instance.
This setting only applies to Amazon Aurora DB instances.
Currently, this value is inherited from the DB cluster and can\'t be changed.
Specifies the mode of Database Insights to enable for the DB instance.
This setting only applies to Amazon Aurora DB instances.
Currently, this value is inherited from the DB cluster and can\'t be changed.
Parameter input for the DeleteDBInstanceAutomatedBackup operation.
Parameter input for DescribeDBInstanceAutomatedBackups.
', 'refs' => [], ], 'DescribeDBInstancesMessage' => [ 'base' => '', 'refs' => [], ], 'DescribeDBLogFilesDetails' => [ 'base' => 'This data type is used as a response element to DescribeDBLogFiles.
The DB log files returned.
', ], ], 'DescribeDBLogFilesMessage' => [ 'base' => '', 'refs' => [], ], 'DescribeDBLogFilesResponse' => [ 'base' => 'The response from a call to DescribeDBLogFiles.
An optional description of your CEV.
', 'ModifyCustomDBEngineVersionMessage$Description' => 'An optional description of your CEV.
', ], ], 'DisableHttpEndpointRequest' => [ 'base' => NULL, 'refs' => [], ], 'DisableHttpEndpointResponse' => [ 'base' => NULL, 'refs' => [], ], 'DocLink' => [ 'base' => 'A link to documentation that provides additional information for a recommendation.
', 'refs' => [ 'DocLinkList$member' => NULL, ], ], 'DocLinkList' => [ 'base' => NULL, 'refs' => [ 'DBRecommendation$Links' => 'A link to documentation that provides additional information about the recommendation.
', ], ], 'DomainMembership' => [ 'base' => 'An Active Directory Domain membership record associated with the DB instance or cluster.
', 'refs' => [ 'DomainMembershipList$member' => NULL, ], ], 'DomainMembershipList' => [ 'base' => NULL, 'refs' => [ 'DBCluster$DomainMemberships' => 'The Active Directory Domain membership records associated with the DB cluster.
', 'DBInstance$DomainMemberships' => 'The Active Directory Domain membership records associated with the DB instance.
', ], ], 'DomainNotFoundFault' => [ 'base' => ' Domain doesn\'t refer to an existing Active Directory domain.
The minimum value in the range.
', 'DoubleRange$To' => 'The maximum value in the range.
', 'RecurringCharge$RecurringChargeAmount' => 'The amount of the recurring charge.
', 'ReservedDBInstance$FixedPrice' => 'The fixed price charged for this reserved DB instance.
', 'ReservedDBInstance$UsagePrice' => 'The hourly price charged for this reserved DB instance.
', 'ReservedDBInstancesOffering$FixedPrice' => 'The fixed price charged for this offering.
', 'ReservedDBInstancesOffering$UsagePrice' => 'The hourly price charged for this offering.
', 'ScalarReferenceDetails$Value' => 'The value of a scalar reference.
', ], ], 'DoubleOptional' => [ 'base' => NULL, 'refs' => [ 'CreateDBShardGroupMessage$MaxACU' => 'The maximum capacity of the DB shard group in Aurora capacity units (ACUs).
', 'CreateDBShardGroupMessage$MinACU' => 'The minimum capacity of the DB shard group in Aurora capacity units (ACUs).
', 'DBShardGroup$MaxACU' => 'The maximum capacity of the DB shard group in Aurora capacity units (ACUs).
', 'DBShardGroup$MinACU' => 'The minimum capacity of the DB shard group in Aurora capacity units (ACUs).
', 'LimitlessDatabase$MinRequiredACU' => 'The minimum required capacity for Aurora Limitless Database in Aurora capacity units (ACUs).
', 'ModifyDBShardGroupMessage$MaxACU' => 'The maximum capacity of the DB shard group in Aurora capacity units (ACUs).
', 'ModifyDBShardGroupMessage$MinACU' => 'The minimum capacity of the DB shard group in Aurora capacity units (ACUs).
', 'OrderableDBInstanceOption$MinIopsPerGib' => 'Minimum provisioned IOPS per GiB for a DB instance.
', 'OrderableDBInstanceOption$MaxIopsPerGib' => 'Maximum provisioned IOPS per GiB for a DB instance.
', 'OrderableDBInstanceOption$MinStorageThroughputPerIops' => 'Minimum storage throughput to provisioned IOPS ratio for a DB instance.
', 'OrderableDBInstanceOption$MaxStorageThroughputPerIops' => 'Maximum storage throughput to provisioned IOPS ratio for a DB instance.
', 'ServerlessV2FeaturesSupport$MinCapacity' => 'If the minimum capacity is 0 ACUs, the engine version supports the automatic pause/resume feature of Aurora Serverless v2.
', 'ServerlessV2FeaturesSupport$MaxCapacity' => ' Specifies the upper Aurora Serverless v2 capacity limit for a particular engine version. Depending on the engine version, the maximum capacity for an Aurora Serverless v2 cluster might be 256 or 128.
The minimum number of Aurora capacity units (ACUs) for a DB instance in an Aurora Serverless v2 cluster. You can specify ACU values in half-step increments, such as 8, 8.5, 9, and so on. For Aurora versions that support the Aurora Serverless v2 auto-pause feature, the smallest value that you can use is 0. For versions that don\'t support Aurora Serverless v2 auto-pause, the smallest value that you can use is 0.5.
', 'ServerlessV2ScalingConfiguration$MaxCapacity' => 'The maximum number of Aurora capacity units (ACUs) for a DB instance in an Aurora Serverless v2 cluster. You can specify ACU values in half-step increments, such as 32, 32.5, 33, and so on. The largest value that you can use is 256 for recent Aurora versions, or 128 for older versions.
', 'ServerlessV2ScalingConfigurationInfo$MinCapacity' => 'The minimum number of Aurora capacity units (ACUs) for a DB instance in an Aurora Serverless v2 cluster. You can specify ACU values in half-step increments, such as 8, 8.5, 9, and so on. For Aurora versions that support the Aurora Serverless v2 auto-pause feature, the smallest value that you can use is 0. For versions that don\'t support Aurora Serverless v2 auto-pause, the smallest value that you can use is 0.5.
', 'ServerlessV2ScalingConfigurationInfo$MaxCapacity' => 'The maximum number of Aurora capacity units (ACUs) for a DB instance in an Aurora Serverless v2 cluster. You can specify ACU values in half-step increments, such as 32, 32.5, 33, and so on. The largest value that you can use is 256 for recent Aurora versions, or 128 for older versions.
', ], ], 'DoubleRange' => [ 'base' => 'A range of double values.
', 'refs' => [ 'DoubleRangeList$member' => NULL, ], ], 'DoubleRangeList' => [ 'base' => NULL, 'refs' => [ 'ValidStorageOptions$IopsToStorageRatio' => 'The valid range of Provisioned IOPS to gibibytes of storage multiplier. For example, 3-10, which means that provisioned IOPS can be between 3 and 10 times storage.
', 'ValidStorageOptions$StorageThroughputToIopsRatio' => 'The valid range of storage throughput to provisioned IOPS ratios. For example, 0-0.25.
', ], ], 'DownloadDBLogFilePortionDetails' => [ 'base' => 'This data type is used as a response element to DownloadDBLogFilePortion.
This data type is used as a response element in the following actions:
AuthorizeDBSecurityGroupIngress
DescribeDBSecurityGroups
RevokeDBSecurityGroupIngress
Contains a list of EC2SecurityGroup elements.
The AMI configuration prerequisite has not been met.
', 'refs' => [], ], 'EnableHttpEndpointRequest' => [ 'base' => NULL, 'refs' => [], ], 'EnableHttpEndpointResponse' => [ 'base' => NULL, 'refs' => [], ], 'EncryptionContextMap' => [ 'base' => NULL, 'refs' => [ 'CreateIntegrationMessage$AdditionalEncryptionContext' => 'An optional set of non-secret key–value pairs that contains additional contextual information about the data. For more information, see Encryption context in the Amazon Web Services Key Management Service Developer Guide.
You can only include this parameter if you specify the KMSKeyId parameter.
The encryption context for the integration. For more information, see Encryption context in the Amazon Web Services Key Management Service Developer Guide.
', ], ], 'Endpoint' => [ 'base' => 'This data type represents the information you need to connect to an Amazon RDS DB instance. This data type is used as a response element in the following actions:
CreateDBInstance
DescribeDBInstances
DeleteDBInstance
For the data structure that represents Amazon Aurora DB cluster endpoints, see DBClusterEndpoint.
The connection endpoint for the DB instance.
The endpoint might not be shown for instances with the status of creating.
The listener connection endpoint for SQL Server Always On.
', ], ], 'EngineDefaults' => [ 'base' => 'Contains the result of a successful invocation of the DescribeEngineDefaultParameters action.
The kinds of databases that the proxy can connect to. This value determines which database network protocol the proxy recognizes when it interprets network traffic to and from the database. For Aurora MySQL, RDS for MariaDB, and RDS for MySQL databases, specify MYSQL. For Aurora PostgreSQL and RDS for PostgreSQL databases, specify POSTGRESQL. For RDS for Microsoft SQL Server, specify SQLSERVER.
A list of the supported DB engine modes.
', 'OrderableDBInstanceOption$SupportedEngineModes' => 'A list of the supported DB engine modes.
', 'Parameter$SupportedEngineModes' => 'The valid DB engine modes.
', 'UpgradeTarget$SupportedEngineModes' => 'A list of the supported DB engine modes for the target engine version.
', ], ], 'Event' => [ 'base' => 'This data type is used as a response element in the DescribeEvents action.
', 'refs' => [ 'EventList$member' => NULL, ], ], 'EventCategoriesList' => [ 'base' => NULL, 'refs' => [ 'CreateEventSubscriptionMessage$EventCategories' => 'A list of event categories for a particular source type (SourceType) that you want to subscribe to. You can see a list of the categories for a given source type in the "Amazon RDS event categories and event messages" section of the Amazon RDS User Guide or the Amazon Aurora User Guide . You can also see this list by using the DescribeEventCategories operation.
A list of event categories that trigger notifications for a event notification subscription.
', 'Event$EventCategories' => 'Specifies the category for the event.
', 'EventCategoriesMap$EventCategories' => 'The event categories for the specified source type
', 'EventSubscription$EventCategoriesList' => 'A list of event categories for the RDS event notification subscription.
', 'ModifyEventSubscriptionMessage$EventCategories' => 'A list of event categories for a source type (SourceType) that you want to subscribe to. You can see a list of the categories for a given source type in Events in the Amazon RDS User Guide or by using the DescribeEventCategories operation.
Contains the results of a successful invocation of the DescribeEventCategories operation.
', 'refs' => [ 'EventCategoriesMapList$member' => NULL, ], ], 'EventCategoriesMapList' => [ 'base' => NULL, 'refs' => [ 'EventCategoriesMessage$EventCategoriesMapList' => 'A list of EventCategoriesMap data types.
Data returned from the DescribeEventCategories operation.
A list of Event instances.
Contains the results of a successful invocation of the DescribeEventSubscriptions action.
You have reached the maximum number of event subscriptions.
', 'refs' => [], ], 'EventSubscriptionsList' => [ 'base' => NULL, 'refs' => [ 'EventSubscriptionsMessage$EventSubscriptionsList' => 'A list of EventSubscriptions data types.
', ], ], 'EventSubscriptionsMessage' => [ 'base' => 'Data returned by the DescribeEventSubscriptions action.
', 'refs' => [], ], 'EventsMessage' => [ 'base' => 'Contains the result of a successful invocation of the DescribeEvents action.
The type of source for the export.
', 'ExportTask$SourceType' => 'The type of source for the export.
', ], ], 'ExportTask' => [ 'base' => 'Contains the details of a snapshot or cluster export to Amazon S3.
This data type is used as a response element in the DescribeExportTasks operation.
You can\'t start an export task that\'s already running.
', 'refs' => [], ], 'ExportTaskNotFoundFault' => [ 'base' => 'The export task doesn\'t exist.
', 'refs' => [], ], 'ExportTasksList' => [ 'base' => NULL, 'refs' => [ 'ExportTasksMessage$ExportTasks' => 'Information about an export of a snapshot or cluster to Amazon S3.
', ], ], 'ExportTasksMessage' => [ 'base' => NULL, 'refs' => [], ], 'FailoverDBClusterMessage' => [ 'base' => '', 'refs' => [], ], 'FailoverDBClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'FailoverGlobalClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'FailoverGlobalClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'FailoverState' => [ 'base' => 'Contains the state of scheduled or in-process operations on a global cluster (Aurora global database). This data type is empty unless a switchover or failover operation is scheduled or is in progress on the Aurora global database.
', 'refs' => [ 'GlobalCluster$FailoverState' => 'A data object containing all properties for the current state of an in-process or pending switchover or failover process for this global cluster (Aurora global database). This object is empty unless the SwitchoverGlobalCluster or FailoverGlobalCluster operation was called on this global cluster.
The current status of the global cluster. Possible values are as follows:
pending – The service received a request to switch over or fail over the global cluster. The global cluster\'s primary DB cluster and the specified secondary DB cluster are being verified before the operation starts.
failing-over – Aurora is promoting the chosen secondary Aurora DB cluster to become the new primary DB cluster to fail over the global cluster.
cancelling – The request to switch over or fail over the global cluster was cancelled and the primary Aurora DB cluster and the selected secondary Aurora DB cluster are returning to their previous states.
switching-over – This status covers the range of Aurora internal operations that take place during the switchover process, such as demoting the primary Aurora DB cluster, promoting the secondary Aurora DB cluster, and synchronizing replicas.
A list of features supported by the DB engine.
The supported features vary by DB engine and DB engine version.
To determine the supported features for a specific DB engine and DB engine version using the CLI, use the following command:
aws rds describe-db-engine-versions --engine <engine_name> --engine-version <engine_version>
For example, to determine the supported features for RDS for PostgreSQL version 13.3 using the CLI, use the following command:
aws rds describe-db-engine-versions --engine postgres --engine-version 13.3
The supported features are listed under SupportedFeatureNames in the output.
A filter name and value pair that is used to return a more specific list of results from a describe operation. Filters can be used to match a set of resources by specific criteria, such as IDs. The filters supported by a describe operation are documented with the describe operation.
Currently, wildcards are not supported in filters.
The following actions can be filtered:
DescribeDBClusterBacktracks
DescribeDBClusterEndpoints
DescribeDBClusters
DescribeDBInstances
DescribeDBRecommendations
DescribeDBShardGroups
DescribePendingMaintenanceActions
A filter that specifies one or more blue/green deployments to describe.
Valid Values:
blue-green-deployment-identifier - Accepts system-generated identifiers for blue/green deployments. The results list only includes information about the blue/green deployments with the specified identifiers.
blue-green-deployment-name - Accepts user-supplied names for blue/green deployments. The results list only includes information about the blue/green deployments with the specified names.
source - Accepts source databases for a blue/green deployment. The results list only includes information about the blue/green deployments with the specified source databases.
target - Accepts target databases for a blue/green deployment. The results list only includes information about the blue/green deployments with the specified target databases.
This parameter isn\'t currently supported.
', 'DescribeDBClusterAutomatedBackupsMessage$Filters' => 'A filter that specifies which resources to return based on status.
Supported filters are the following:
status
retained - Automated backups for deleted clusters and after backup replication is stopped.
db-cluster-id - Accepts DB cluster identifiers and Amazon Resource Names (ARNs). The results list includes only information about the DB cluster automated backups identified by these ARNs.
db-cluster-resource-id - Accepts DB resource identifiers and Amazon Resource Names (ARNs). The results list includes only information about the DB cluster resources identified by these ARNs.
Returns all resources by default. The status for each resource is specified in the response.
', 'DescribeDBClusterBacktracksMessage$Filters' => 'A filter that specifies one or more DB clusters to describe. Supported filters include the following:
db-cluster-backtrack-id - Accepts backtrack identifiers. The results list includes information about only the backtracks identified by these identifiers.
db-cluster-backtrack-status - Accepts any of the following backtrack status values:
applying
completed
failed
pending
The results list includes information about only the backtracks identified by these values.
A set of name-value pairs that define which endpoints to include in the output. The filters are specified as name-value pairs, in the format Name=endpoint_type,Values=endpoint_type1,endpoint_type2,.... Name can be one of: db-cluster-endpoint-type, db-cluster-endpoint-custom-type, db-cluster-endpoint-id, db-cluster-endpoint-status. Values for the db-cluster-endpoint-type filter can be one or more of: reader, writer, custom. Values for the db-cluster-endpoint-custom-type filter can be one or more of: reader, any. Values for the db-cluster-endpoint-status filter can be one or more of: available, creating, deleting, inactive, modifying.
This parameter isn\'t currently supported.
', 'DescribeDBClusterParametersMessage$Filters' => 'A filter that specifies one or more DB cluster parameters to describe.
The only supported filter is parameter-name. The results list only includes information about the DB cluster parameters with these names.
A filter that specifies one or more DB cluster snapshots to describe.
Supported filters:
db-cluster-id - Accepts DB cluster identifiers and DB cluster Amazon Resource Names (ARNs).
db-cluster-snapshot-id - Accepts DB cluster snapshot identifiers.
snapshot-type - Accepts types of DB cluster snapshots.
engine - Accepts names of database engines.
A filter that specifies one or more DB clusters to describe.
Supported Filters:
clone-group-id - Accepts clone group identifiers. The results list only includes information about the DB clusters associated with these clone groups.
db-cluster-id - Accepts DB cluster identifiers and DB cluster Amazon Resource Names (ARNs). The results list only includes information about the DB clusters identified by these ARNs.
db-cluster-resource-id - Accepts DB cluster resource identifiers. The results list will only include information about the DB clusters identified by these DB cluster resource identifiers.
domain - Accepts Active Directory directory IDs. The results list only includes information about the DB clusters associated with these domains.
engine - Accepts engine names. The results list only includes information about the DB clusters for these engines.
A filter that specifies one or more DB engine versions to describe.
Supported filters:
db-parameter-group-family - Accepts parameter groups family names. The results list only includes information about the DB engine versions for these parameter group families.
engine - Accepts engine names. The results list only includes information about the DB engine versions for these engines.
engine-mode - Accepts DB engine modes. The results list only includes information about the DB engine versions for these engine modes. Valid DB engine modes are the following:
global
multimaster
parallelquery
provisioned
serverless
engine-version - Accepts engine versions. The results list only includes information about the DB engine versions for these engine versions.
status - Accepts engine version statuses. The results list only includes information about the DB engine versions for these statuses. Valid statuses are the following:
available
deprecated
A filter that specifies which resources to return based on status.
Supported filters are the following:
status
active - Automated backups for current instances.
creating - Automated backups that are waiting for the first automated snapshot to be available.
retained - Automated backups for deleted instances and after backup replication is stopped.
db-instance-id - Accepts DB instance identifiers and Amazon Resource Names (ARNs). The results list includes only information about the DB instance automated backups identified by these ARNs.
dbi-resource-id - Accepts DB resource identifiers and Amazon Resource Names (ARNs). The results list includes only information about the DB instance resources identified by these ARNs.
Returns all resources by default. The status for each resource is specified in the response.
', 'DescribeDBInstancesMessage$Filters' => 'A filter that specifies one or more DB instances to describe.
Supported Filters:
db-cluster-id - Accepts DB cluster identifiers and DB cluster Amazon Resource Names (ARNs). The results list only includes information about the DB instances associated with the DB clusters identified by these ARNs.
db-instance-id - Accepts DB instance identifiers and DB instance Amazon Resource Names (ARNs). The results list only includes information about the DB instances identified by these ARNs.
dbi-resource-id - Accepts DB instance resource identifiers. The results list only includes information about the DB instances identified by these DB instance resource identifiers.
domain - Accepts Active Directory directory IDs. The results list only includes information about the DB instances associated with these domains.
engine - Accepts engine names. The results list only includes information about the DB instances for these engines.
This parameter isn\'t currently supported.
', 'DescribeDBParameterGroupsMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribeDBParametersMessage$Filters' => 'A filter that specifies one or more DB parameters to describe.
The only supported filter is parameter-name. The results list only includes information about the DB parameters with these names.
This parameter is not currently supported.
', 'DescribeDBProxyEndpointsRequest$Filters' => 'This parameter is not currently supported.
', 'DescribeDBProxyTargetGroupsRequest$Filters' => 'This parameter is not currently supported.
', 'DescribeDBProxyTargetsRequest$Filters' => 'This parameter is not currently supported.
', 'DescribeDBRecommendationsMessage$Filters' => 'A filter that specifies one or more recommendations to describe.
Supported Filters:
recommendation-id - Accepts a list of recommendation identifiers. The results list only includes the recommendations whose identifier is one of the specified filter values.
status - Accepts a list of recommendation statuses.
Valid values:
active - The recommendations which are ready for you to apply.
pending - The applied or scheduled recommendations which are in progress.
resolved - The recommendations which are completed.
dismissed - The recommendations that you dismissed.
The results list only includes the recommendations whose status is one of the specified filter values.
severity - Accepts a list of recommendation severities. The results list only includes the recommendations whose severity is one of the specified filter values.
Valid values:
high
medium
low
informational
type-id - Accepts a list of recommendation type identifiers. The results list only includes the recommendations whose type is one of the specified filter values.
dbi-resource-id - Accepts a list of database resource identifiers. The results list only includes the recommendations that generated for the specified databases.
cluster-resource-id - Accepts a list of cluster resource identifiers. The results list only includes the recommendations that generated for the specified clusters.
pg-arn - Accepts a list of parameter group ARNs. The results list only includes the recommendations that generated for the specified parameter groups.
cluster-pg-arn - Accepts a list of cluster parameter group ARNs. The results list only includes the recommendations that generated for the specified cluster parameter groups.
This parameter isn\'t currently supported.
', 'DescribeDBShardGroupsMessage$Filters' => 'A filter that specifies one or more DB shard groups to describe.
', 'DescribeDBSnapshotTenantDatabasesMessage$Filters' => 'A filter that specifies one or more tenant databases to describe.
Supported filters:
tenant-db-name - Tenant database names. The results list only includes information about the tenant databases that match these tenant DB names.
tenant-database-resource-id - Tenant database resource identifiers. The results list only includes information about the tenant databases contained within the DB snapshots.
dbi-resource-id - DB instance resource identifiers. The results list only includes information about snapshots containing tenant databases contained within the DB instances identified by these resource identifiers.
db-instance-id - Accepts DB instance identifiers and DB instance Amazon Resource Names (ARNs).
db-snapshot-id - Accepts DB snapshot identifiers.
snapshot-type - Accepts types of DB snapshots.
A filter that specifies one or more DB snapshots to describe.
Supported filters:
db-instance-id - Accepts DB instance identifiers and DB instance Amazon Resource Names (ARNs).
db-snapshot-id - Accepts DB snapshot identifiers.
dbi-resource-id - Accepts identifiers of source DB instances.
snapshot-type - Accepts types of DB snapshots.
engine - Accepts names of database engines.
This parameter isn\'t currently supported.
', 'DescribeEngineDefaultClusterParametersMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribeEngineDefaultParametersMessage$Filters' => 'A filter that specifies one or more parameters to describe.
The only supported filter is parameter-name. The results list only includes information about the parameters with these names.
This parameter isn\'t currently supported.
', 'DescribeEventSubscriptionsMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribeEventsMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribeExportTasksMessage$Filters' => 'Filters specify one or more snapshot or cluster exports to describe. The filters are specified as name-value pairs that define what to include in the output. Filter names and values are case-sensitive.
Supported filters include the following:
export-task-identifier - An identifier for the snapshot or cluster export task.
s3-bucket - The Amazon S3 bucket the data is exported to.
source-arn - The Amazon Resource Name (ARN) of the snapshot or cluster exported to Amazon S3.
status - The status of the export task. Must be lowercase. Valid statuses are the following:
canceled
canceling
complete
failed
in_progress
starting
A filter that specifies one or more global database clusters to describe. This parameter is case-sensitive.
Currently, the only supported filter is region.
If used, the request returns information about any global cluster with at least one member (primary or secondary) in the specified Amazon Web Services Regions.
', 'DescribeIntegrationsMessage$Filters' => 'A filter that specifies one or more resources to return.
', 'DescribeOptionGroupOptionsMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribeOptionGroupsMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribeOrderableDBInstanceOptionsMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribePendingMaintenanceActionsMessage$Filters' => 'A filter that specifies one or more resources to return pending maintenance actions for.
Supported filters:
db-cluster-id - Accepts DB cluster identifiers and DB cluster Amazon Resource Names (ARNs). The results list only includes pending maintenance actions for the DB clusters identified by these ARNs.
db-instance-id - Accepts DB instance identifiers and DB instance ARNs. The results list only includes pending maintenance actions for the DB instances identified by these ARNs.
This parameter isn\'t currently supported.
', 'DescribeReservedDBInstancesOfferingsMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribeSourceRegionsMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribeTenantDatabasesMessage$Filters' => 'A filter that specifies one or more database tenants to describe.
Supported filters:
tenant-db-name - Tenant database names. The results list only includes information about the tenant databases that match these tenant DB names.
tenant-database-resource-id - Tenant database resource identifiers.
dbi-resource-id - DB instance resource identifiers. The results list only includes information about the tenants contained within the DB instances identified by these resource identifiers.
This parameter isn\'t currently supported.
', ], ], 'FilterValueList' => [ 'base' => NULL, 'refs' => [ 'Filter$Values' => 'One or more filter values. Filter values are case-sensitive.
', ], ], 'GlobalCluster' => [ 'base' => 'A data type representing an Aurora global database.
', 'refs' => [ 'CreateGlobalClusterResult$GlobalCluster' => NULL, 'DeleteGlobalClusterResult$GlobalCluster' => NULL, 'FailoverGlobalClusterResult$GlobalCluster' => NULL, 'GlobalClusterList$member' => NULL, 'ModifyGlobalClusterResult$GlobalCluster' => NULL, 'RemoveFromGlobalClusterResult$GlobalCluster' => NULL, 'SwitchoverGlobalClusterResult$GlobalCluster' => NULL, ], ], 'GlobalClusterAlreadyExistsFault' => [ 'base' => 'The GlobalClusterIdentifier already exists. Specify a new global database identifier (unique name) to create a new global database cluster or to rename an existing one.
The identifier of the global database cluster (Aurora global database) this operation should apply to. The identifier is the unique key assigned by the user when the Aurora global database is created. In other words, it\'s the name of the Aurora global database.
Constraints:
Must match the identifier of an existing global database cluster.
The identifier of the global database cluster to switch over. This parameter isn\'t case-sensitive.
Constraints:
Must match the identifier of an existing global database cluster (Aurora global database).
The list of global clusters returned by this request.
', ], ], 'GlobalClusterMember' => [ 'base' => 'A data structure with information about any primary and secondary clusters associated with a global cluster (Aurora global database).
', 'refs' => [ 'GlobalClusterMemberList$member' => NULL, ], ], 'GlobalClusterMemberList' => [ 'base' => NULL, 'refs' => [ 'GlobalCluster$GlobalClusterMembers' => 'The list of primary and secondary clusters within the global database cluster.
', ], ], 'GlobalClusterMemberSynchronizationStatus' => [ 'base' => NULL, 'refs' => [ 'GlobalClusterMember$SynchronizationStatus' => 'The status of synchronization of each Aurora DB cluster in the global cluster.
', ], ], 'GlobalClusterNotFoundFault' => [ 'base' => 'The GlobalClusterIdentifier doesn\'t refer to an existing global database cluster.
The number of global database clusters for this account is already at the maximum allowed.
', 'refs' => [], ], 'GlobalClustersMessage' => [ 'base' => NULL, 'refs' => [], ], 'IAMAuthMode' => [ 'base' => NULL, 'refs' => [ 'UserAuthConfig$IAMAuth' => 'A value that indicates whether to require or disallow Amazon Web Services Identity and Access Management (IAM) authentication for connections to the proxy. The ENABLED value is valid only for proxies with RDS for Microsoft SQL Server.
Whether to require or disallow Amazon Web Services Identity and Access Management (IAM) authentication for connections to the proxy. The ENABLED value is valid only for proxies with RDS for Microsoft SQL Server.
This data type is used as a response element in the DescribeDBSecurityGroups action.
Contains a list of IPRange elements.
The IAM role requires additional permissions to export to an Amazon S3 bucket.
', 'refs' => [], ], 'IamRoleNotFoundFault' => [ 'base' => 'The IAM role is missing for exporting to an Amazon S3 bucket.
', 'refs' => [], ], 'InstanceQuotaExceededFault' => [ 'base' => 'The request would result in the user exceeding the allowed number of DB instances.
', 'refs' => [], ], 'InsufficientAvailableIPsInSubnetFault' => [ 'base' => 'The requested operation can\'t be performed because there aren\'t enough available IP addresses in the proxy\'s subnets. Add more CIDR blocks to the VPC or remove IP address that aren\'t required from the subnets.
', 'refs' => [], ], 'InsufficientDBClusterCapacityFault' => [ 'base' => 'The DB cluster doesn\'t have enough capacity for the current operation.
', 'refs' => [], ], 'InsufficientDBInstanceCapacityFault' => [ 'base' => 'The specified DB instance class isn\'t available in the specified Availability Zone.
', 'refs' => [], ], 'InsufficientStorageClusterCapacityFault' => [ 'base' => 'There is insufficient storage available for the current action. You might be able to resolve this error by updating your subnet group to use different Availability Zones that have more storage available.
', 'refs' => [], ], 'Integer' => [ 'base' => NULL, 'refs' => [ 'ConnectionPoolConfigurationInfo$MaxConnectionsPercent' => 'The maximum size of the connection pool for each target in a target group. The value is expressed as a percentage of the max_connections setting for the RDS DB instance or Aurora DB cluster used by the target group.
Controls how actively the proxy closes idle database connections in the connection pool. The value is expressed as a percentage of the max_connections setting for the RDS DB instance or Aurora DB cluster used by the target group. With a high value, the proxy leaves a high percentage of idle database connections open. A low value causes the proxy to close more idle connections and return them to the database.
The number of seconds for a proxy to wait for a connection to become available in the connection pool. Only applies when the proxy has opened its maximum number of connections and all connections are busy with client sessions.
', 'DBClusterAutomatedBackup$AllocatedStorage' => 'For all database engines except Amazon Aurora, AllocatedStorage specifies the allocated storage size in gibibytes (GiB). For Aurora, AllocatedStorage always returns 1, because Aurora DB cluster storage size isn\'t fixed, but instead automatically adjusts as needed.
The port number that the automated backup used for connections.
Default: Inherits from the source DB cluster
Valid Values: 1150-65535
The allocated storage size of the DB cluster snapshot in gibibytes (GiB).
', 'DBClusterSnapshot$Port' => 'The port that the DB cluster was listening on at the time of the snapshot.
', 'DBClusterSnapshot$PercentProgress' => 'The percentage of the estimated data that has been transferred.
', 'DBInstance$AllocatedStorage' => 'The amount of storage in gibibytes (GiB) allocated for the DB instance.
', 'DBInstance$BackupRetentionPeriod' => 'The number of days for which automatic DB snapshots are retained.
', 'DBInstance$DbInstancePort' => 'The port that the DB instance listens on. If the DB instance is part of a DB cluster, this can be a different port than the DB cluster port.
', 'DBInstanceAutomatedBackup$AllocatedStorage' => 'The allocated storage size for the the automated backup in gibibytes (GiB).
', 'DBInstanceAutomatedBackup$Port' => 'The port number that the automated backup used for connections.
Default: Inherits from the source DB instance
Valid Values: 1150-65535
The number of seconds a connection to the proxy can have no activity before the proxy drops the client connection. The proxy keeps the underlying database connection open and puts it back into the connection pool for reuse by later connection requests.
Default: 1800 (30 minutes)
Constraints: 1 to 28,800
', 'DBProxyTarget$Port' => 'The port that the RDS Proxy uses to connect to the target RDS DB instance or Aurora DB cluster.
', 'DBSnapshot$AllocatedStorage' => 'Specifies the allocated storage size in gibibytes (GiB).
', 'DBSnapshot$Port' => 'Specifies the port that the database engine was listening on at the time of the snapshot.
', 'DBSnapshot$PercentProgress' => 'The percentage of the estimated data that has been transferred.
', 'DownloadDBLogFilePortionMessage$NumberOfLines' => 'The number of lines to download. If the number of lines specified results in a file over 1 MB in size, the file is truncated at 1 MB in size.
If the NumberOfLines parameter is specified, then the block of lines returned can be from the beginning or the end of the log file, depending on the value of the Marker parameter.
If neither Marker or NumberOfLines are specified, the entire log file is returned up to a maximum of 10000 lines, starting with the most recent log entries first.
If NumberOfLines is specified and Marker isn\'t specified, then the most recent lines from the end of the log file are returned.
If Marker is specified as "0", then the specified number of lines from the beginning of the log file are returned.
You can download the log file in blocks of lines by specifying the size of the block using the NumberOfLines parameter, and by specifying a value of "0" for the Marker parameter in your first request. Include the Marker value returned in the response as the Marker value for the next request, continuing until the AdditionalDataPending response element returns false.
Specifies the port that the database engine is listening on.
', 'ExportTask$PercentProgress' => 'The progress of the snapshot or cluster export task as a percentage.
', 'ExportTask$TotalExtractedDataInGB' => 'The total amount of data exported, in gigabytes.
', 'PerformanceInsightsMetricDimensionGroup$Limit' => 'The maximum number of items to fetch for this dimension group.
', 'Range$From' => 'The minimum value in the range.
', 'Range$To' => 'The maximum value in the range.
', 'ReservedDBInstance$Duration' => 'The duration of the reservation in seconds.
', 'ReservedDBInstance$DBInstanceCount' => 'The number of reserved DB instances.
', 'ReservedDBInstancesOffering$Duration' => 'The duration of the offering in seconds.
', ], ], 'IntegerOptional' => [ 'base' => NULL, 'refs' => [ 'ClusterPendingModifiedValues$BackupRetentionPeriod' => 'The number of days for which automatic DB snapshots are retained.
', 'ClusterPendingModifiedValues$AllocatedStorage' => 'The allocated storage size in gibibytes (GiB) for all database engines except Amazon Aurora. For Aurora, AllocatedStorage always returns 1, because Aurora DB cluster storage size isn\'t fixed, but instead automatically adjusts as needed.
The Provisioned IOPS (I/O operations per second) value. This setting is only for non-Aurora Multi-AZ DB clusters.
', 'ConnectionPoolConfiguration$MaxConnectionsPercent' => 'The maximum size of the connection pool for each target in a target group. The value is expressed as a percentage of the max_connections setting for the RDS DB instance or Aurora DB cluster used by the target group.
If you specify MaxIdleConnectionsPercent, then you must also include a value for this parameter.
Default: 10 for RDS for Microsoft SQL Server, and 100 for all other engines
Constraints:
Must be between 1 and 100.
A value that controls how actively the proxy closes idle database connections in the connection pool. The value is expressed as a percentage of the max_connections setting for the RDS DB instance or Aurora DB cluster used by the target group. With a high value, the proxy leaves a high percentage of idle database connections open. A low value causes the proxy to close more idle connections and return them to the database.
If you specify this parameter, then you must also include a value for MaxConnectionsPercent.
Default: The default value is half of the value of MaxConnectionsPercent. For example, if MaxConnectionsPercent is 80, then the default value of MaxIdleConnectionsPercent is 40. If the value of MaxConnectionsPercent isn\'t specified, then for SQL Server, MaxIdleConnectionsPercent is 5, and for all other engines, the default is 50.
Constraints:
Must be between 0 and the value of MaxConnectionsPercent.
The number of seconds for a proxy to wait for a connection to become available in the connection pool. This setting only applies when the proxy has opened its maximum number of connections and all connections are busy with client sessions.
Default: 120
Constraints:
Must be between 0 and 3600.
The amount of Provisioned IOPS (input/output operations per second) to allocate for the green DB instance. For information about valid IOPS values, see Amazon RDS DB instance storage in the Amazon RDS User Guide.
This setting doesn\'t apply to Amazon Aurora blue/green deployments.
', 'CreateBlueGreenDeploymentRequest$TargetAllocatedStorage' => 'The amount of storage in gibibytes (GiB) to allocate for the green DB instance. You can choose to increase or decrease the allocated storage on the green DB instance.
This setting doesn\'t apply to Amazon Aurora blue/green deployments.
', 'CreateBlueGreenDeploymentRequest$TargetStorageThroughput' => 'The storage throughput value for the green DB instance.
This setting applies only to the gp3 storage type.
This setting doesn\'t apply to Amazon Aurora blue/green deployments.
', 'CreateDBClusterMessage$BackupRetentionPeriod' => 'The number of days for which automated backups are retained.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Default: 1
Constraints:
Must be a value from 1 to 35.
The port number on which the instances in the DB cluster accept connections.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values: 1150-65535
Default:
RDS for MySQL and Aurora MySQL - 3306
RDS for PostgreSQL and Aurora PostgreSQL - 5432
The amount of storage in gibibytes (GiB) to allocate to each DB instance in the Multi-AZ DB cluster.
Valid for Cluster Type: Multi-AZ DB clusters only
This setting is required to create a Multi-AZ DB cluster.
', 'CreateDBClusterMessage$Iops' => 'The amount of Provisioned IOPS (input/output operations per second) to be initially allocated for each DB instance in the Multi-AZ DB cluster.
For information about valid IOPS values, see Provisioned IOPS storage in the Amazon RDS User Guide.
This setting is required to create a Multi-AZ DB cluster.
Valid for Cluster Type: Multi-AZ DB clusters only
Constraints:
Must be a multiple between .5 and 50 of the storage amount for the DB cluster.
The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB cluster. To turn off collecting Enhanced Monitoring metrics, specify 0.
If MonitoringRoleArn is specified, also set MonitoringInterval to a value other than 0.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values: 0 | 1 | 5 | 10 | 15 | 30 | 60
Default: 0
The number of days to retain Performance Insights data.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
If you specify a retention period that isn\'t valid, such as 94, Amazon RDS issues an error.
The amount of storage in gibibytes (GiB) to allocate for the DB instance.
This setting doesn\'t apply to Amazon Aurora DB instances. Aurora cluster volumes automatically grow as the amount of data in your database increases, though you are only charged for the space that you use in an Aurora cluster volume.
Constraints to the amount of storage for each storage type are the following:
General Purpose (SSD) storage (gp2, gp3): Must be an integer from 40 to 65536 for RDS Custom for Oracle, 16384 for RDS Custom for SQL Server.
Provisioned IOPS storage (io1, io2): Must be an integer from 40 to 65536 for RDS Custom for Oracle, 16384 for RDS Custom for SQL Server.
Constraints to the amount of storage for each storage type are the following:
General Purpose (SSD) storage (gp3): Must be an integer from 20 to 65536.
Provisioned IOPS storage (io1, io2): Must be an integer from 100 to 65536.
Constraints to the amount of storage for each storage type are the following:
General Purpose (SSD) storage (gp2, gp3): Must be an integer from 20 to 65536.
Provisioned IOPS storage (io1, io2): Must be an integer from 100 to 65536.
Magnetic storage (standard): Must be an integer from 5 to 3072.
Constraints to the amount of storage for each storage type are the following:
General Purpose (SSD) storage (gp2, gp3): Must be an integer from 20 to 65536.
Provisioned IOPS storage (io1, io2): Must be an integer from 100 to 65536.
Magnetic storage (standard): Must be an integer from 5 to 3072.
Constraints to the amount of storage for each storage type are the following:
General Purpose (SSD) storage (gp2, gp3): Must be an integer from 20 to 65536.
Provisioned IOPS storage (io1, io2): Must be an integer from 100 to 65536.
Magnetic storage (standard): Must be an integer from 10 to 3072.
Constraints to the amount of storage for each storage type are the following:
General Purpose (SSD) storage (gp2, gp3): Must be an integer from 20 to 65536.
Provisioned IOPS storage (io1, io2): Must be an integer from 100 to 65536.
Magnetic storage (standard): Must be an integer from 5 to 3072.
Constraints to the amount of storage for each storage type are the following:
General Purpose (SSD) storage (gp2, gp3):
Enterprise and Standard editions: Must be an integer from 20 to 16384.
Web and Express editions: Must be an integer from 20 to 16384.
Provisioned IOPS storage (io1, io2):
Enterprise and Standard editions: Must be an integer from 100 to 16384.
Web and Express editions: Must be an integer from 100 to 16384.
Magnetic storage (standard):
Enterprise and Standard editions: Must be an integer from 20 to 1024.
Web and Express editions: Must be an integer from 20 to 1024.
The number of days for which automated backups are retained. Setting this parameter to a positive number enables backups. Setting this parameter to 0 disables automated backups.
This setting doesn\'t apply to Amazon Aurora DB instances. The retention period for automated backups is managed by the DB cluster.
Default: 1
Constraints:
Must be a value from 0 to 35.
Can\'t be set to 0 if the DB instance is a source to read replicas.
Can\'t be set to 0 for an RDS Custom for Oracle DB instance.
The port number on which the database accepts connections.
This setting doesn\'t apply to Aurora DB instances. The port number is managed by the cluster.
Valid Values: 1150-65535
Default:
RDS for Db2 - 50000
RDS for MariaDB - 3306
RDS for Microsoft SQL Server - 1433
RDS for MySQL - 3306
RDS for Oracle - 1521
RDS for PostgreSQL - 5432
Constraints:
For RDS for Microsoft SQL Server, the value can\'t be 1234, 1434, 3260, 3343, 3389, 47001, or 49152-49156.
The amount of Provisioned IOPS (input/output operations per second) to initially allocate for the DB instance. For information about valid IOPS values, see Amazon RDS DB instance storage in the Amazon RDS User Guide.
This setting doesn\'t apply to Amazon Aurora DB instances. Storage is managed by the DB cluster.
Constraints:
For RDS for Db2, MariaDB, MySQL, Oracle, and PostgreSQL - Must be a multiple between .5 and 50 of the storage amount for the DB instance.
For RDS for SQL Server - Must be a multiple between 1 and 50 of the storage amount for the DB instance.
The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB instance. To disable collection of Enhanced Monitoring metrics, specify 0.
If MonitoringRoleArn is specified, then you must set MonitoringInterval to a value other than 0.
This setting doesn\'t apply to RDS Custom DB instances.
Valid Values: 0 | 1 | 5 | 10 | 15 | 30 | 60
Default: 0
The order of priority in which an Aurora Replica is promoted to the primary instance after a failure of the existing primary instance. For more information, see Fault Tolerance for an Aurora DB Cluster in the Amazon Aurora User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
Default: 1
Valid Values: 0 - 15
The number of days to retain Performance Insights data.
This setting doesn\'t apply to RDS Custom DB instances.
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
If you specify a retention period that isn\'t valid, such as 94, Amazon RDS returns an error.
The upper limit in gibibytes (GiB) to which Amazon RDS can automatically scale the storage of the DB instance.
For more information about this setting, including limitations that apply to it, see Managing capacity automatically with Amazon RDS storage autoscaling in the Amazon RDS User Guide.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora (Storage is managed by the DB cluster.)
RDS Custom
The storage throughput value for the DB instance.
This setting applies only to the gp3 storage type.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$Port' => 'The port number that the DB instance uses for connections.
Valid Values: 1150-65535
Default: Inherits the value from the source DB instance.
', 'CreateDBInstanceReadReplicaMessage$Iops' => 'The amount of Provisioned IOPS (input/output operations per second) to initially allocate for the DB instance.
', 'CreateDBInstanceReadReplicaMessage$MonitoringInterval' => 'The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the read replica. To disable collection of Enhanced Monitoring metrics, specify 0. The default is 0.
If MonitoringRoleArn is specified, then you must set MonitoringInterval to a value other than 0.
This setting doesn\'t apply to RDS Custom DB instances.
Valid Values: 0, 1, 5, 10, 15, 30, 60
Default: 0
The number of days to retain Performance Insights data.
This setting doesn\'t apply to RDS Custom DB instances.
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
If you specify a retention period that isn\'t valid, such as 94, Amazon RDS returns an error.
The upper limit in gibibytes (GiB) to which Amazon RDS can automatically scale the storage of the DB instance.
For more information about this setting, including limitations that apply to it, see Managing capacity automatically with Amazon RDS storage autoscaling in the Amazon RDS User Guide.
', 'CreateDBInstanceReadReplicaMessage$StorageThroughput' => 'Specifies the storage throughput value for the read replica.
This setting doesn\'t apply to RDS Custom or Amazon Aurora DB instances.
', 'CreateDBInstanceReadReplicaMessage$AllocatedStorage' => 'The amount of storage (in gibibytes) to allocate initially for the read replica. Follow the allocation rules specified in CreateDBInstance.
This setting isn\'t valid for RDS for SQL Server.
Be sure to allocate enough storage for your read replica so that the create operation can succeed. You can also allocate additional storage for future growth.
The number of seconds that a connection to the proxy can be inactive before the proxy disconnects it. You can set this value higher or lower than the connection timeout limit for the associated database.
', 'CreateDBShardGroupMessage$ComputeRedundancy' => 'Specifies whether to create standby DB shard groups for the DB shard group. Valid values are the following:
0 - Creates a DB shard group without a standby DB shard group. This is the default value.
1 - Creates a DB shard group with a standby DB shard group in a different Availability Zone (AZ).
2 - Creates a DB shard group with two standby DB shard groups in two different AZs.
For all database engines except Amazon Aurora, AllocatedStorage specifies the allocated storage size in gibibytes (GiB). For Aurora, AllocatedStorage always returns 1, because Aurora DB cluster storage size isn\'t fixed, but instead automatically adjusts as needed.
The number of days for which automatic DB snapshots are retained.
', 'DBCluster$Port' => 'The port that the database engine is listening on.
', 'DBCluster$Capacity' => 'The current capacity of an Aurora Serverless v1 DB cluster. The capacity is 0 (zero) when the cluster is paused.
For more information about Aurora Serverless v1, see Using Amazon Aurora Serverless v1 in the Amazon Aurora User Guide.
', 'DBCluster$Iops' => 'The Provisioned IOPS (I/O operations per second) value.
This setting is only for non-Aurora Multi-AZ DB clusters.
', 'DBCluster$MonitoringInterval' => 'The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB cluster.
This setting is only for -Aurora DB clusters and Multi-AZ DB clusters.
', 'DBCluster$PerformanceInsightsRetentionPeriod' => 'The number of days to retain Performance Insights data.
This setting is only for Aurora DB clusters and Multi-AZ DB clusters.
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
The storage throughput for the DB cluster. The throughput is automatically set based on the IOPS that you provision, and is not configurable.
This setting is only for non-Aurora Multi-AZ DB clusters.
', 'DBClusterAutomatedBackup$BackupRetentionPeriod' => 'The retention period for the automated backups.
', 'DBClusterAutomatedBackup$Iops' => 'The IOPS (I/O operations per second) value for the automated backup.
This setting is only for non-Aurora Multi-AZ DB clusters.
', 'DBClusterAutomatedBackup$StorageThroughput' => 'The storage throughput for the automated backup. The throughput is automatically set based on the IOPS that you provision, and is not configurable.
This setting is only for non-Aurora Multi-AZ DB clusters.
', 'DBClusterCapacityInfo$PendingCapacity' => 'A value that specifies the capacity that the DB cluster scales to next.
', 'DBClusterCapacityInfo$CurrentCapacity' => 'The current capacity of the DB cluster.
', 'DBClusterCapacityInfo$SecondsBeforeTimeout' => 'The number of seconds before a call to ModifyCurrentDBClusterCapacity times out.
A value that specifies the order in which an Aurora Replica is promoted to the primary instance after a failure of the existing primary instance. For more information, see Fault Tolerance for an Aurora DB Cluster in the Amazon Aurora User Guide.
', 'DBClusterSnapshot$StorageThroughput' => 'The storage throughput for the DB cluster snapshot. The throughput is automatically set based on the IOPS that you provision, and is not configurable.
This setting is only for non-Aurora Multi-AZ DB clusters.
', 'DBInstance$Iops' => 'The Provisioned IOPS (I/O operations per second) value for the DB instance.
', 'DBInstance$MonitoringInterval' => 'The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB instance.
', 'DBInstance$PromotionTier' => 'The order of priority in which an Aurora Replica is promoted to the primary instance after a failure of the existing primary instance. For more information, see Fault Tolerance for an Aurora DB Cluster in the Amazon Aurora User Guide.
', 'DBInstance$PerformanceInsightsRetentionPeriod' => 'The number of days to retain Performance Insights data.
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
The upper limit in gibibytes (GiB) to which Amazon RDS can automatically scale the storage of the DB instance.
', 'DBInstance$StorageThroughput' => 'The storage throughput for the DB instance.
This setting applies only to the gp3 storage type.
The IOPS (I/O operations per second) value for the automated backup.
', 'DBInstanceAutomatedBackup$BackupRetentionPeriod' => 'The retention period for the automated backups.
', 'DBInstanceAutomatedBackup$StorageThroughput' => 'The storage throughput for the automated backup.
', 'DBShardGroup$ComputeRedundancy' => 'Specifies whether to create standby DB shard groups for the DB shard group. Valid values are the following:
0 - Creates a DB shard group without a standby DB shard group. This is the default value.
1 - Creates a DB shard group with a standby DB shard group in a different Availability Zone (AZ).
2 - Creates a DB shard group with two standby DB shard groups in two different AZs.
Specifies the Provisioned IOPS (I/O operations per second) value of the DB instance at the time of the snapshot.
', 'DBSnapshot$StorageThroughput' => 'Specifies the storage throughput for the DB snapshot.
', 'DescribeCertificatesMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBClusterAutomatedBackupsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBClusterEndpointsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBClusterParameterGroupsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBClusterParametersMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBClusterSnapshotsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBClustersMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100
', 'DescribeDBEngineVersionsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more than the MaxRecords value is available, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBInstanceAutomatedBackupsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBLogFilesMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
', 'DescribeDBParameterGroupsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBParametersMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBRecommendationsMessage$MaxRecords' => 'The maximum number of recommendations to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBSnapshotTenantDatabasesMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBSubnetGroupsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeEngineDefaultClusterParametersMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeEngineDefaultParametersMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeEventSubscriptionsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeEventsMessage$Duration' => 'The number of minutes to retrieve events for.
Default: 60
', 'DescribeEventsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeGlobalClustersMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeIntegrationsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeOptionGroupOptionsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeOptionGroupsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeOrderableDBInstanceOptionsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 1000.
', 'DescribePendingMaintenanceActionsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeReservedDBInstancesMessage$MaxRecords' => 'The maximum number of records to include in the response. If more than the MaxRecords value is available, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeReservedDBInstancesOfferingsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more than the MaxRecords value is available, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeSourceRegionsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeTenantDatabasesMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
The DB cluster capacity.
When you change the capacity of a paused Aurora Serverless v1 DB cluster, it automatically resumes.
Constraints:
For Aurora MySQL, valid capacity values are 1, 2, 4, 8, 16, 32, 64, 128, and 256.
For Aurora PostgreSQL, valid capacity values are 2, 4, 8, 16, 32, 64, 192, and 384.
The amount of time, in seconds, that Aurora Serverless v1 tries to find a scaling point to perform seamless scaling before enforcing the timeout action. The default is 300.
Specify a value between 10 and 600 seconds.
', 'ModifyDBClusterMessage$BackupRetentionPeriod' => 'The number of days for which automated backups are retained. Specify a minimum value of 1.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Default: 1
Constraints:
Must be a value from 1 to 35.
The port number on which the DB cluster accepts connections.
Valid for Cluster Type: Aurora DB clusters only
Valid Values: 1150-65535
Default: The same port as the original DB cluster.
', 'ModifyDBClusterMessage$AllocatedStorage' => 'The amount of storage in gibibytes (GiB) to allocate to each DB instance in the Multi-AZ DB cluster.
Valid for Cluster Type: Multi-AZ DB clusters only
', 'ModifyDBClusterMessage$Iops' => 'The amount of Provisioned IOPS (input/output operations per second) to be initially allocated for each DB instance in the Multi-AZ DB cluster.
For information about valid IOPS values, see Amazon RDS Provisioned IOPS storage in the Amazon RDS User Guide.
Valid for Cluster Type: Multi-AZ DB clusters only
Constraints:
Must be a multiple between .5 and 50 of the storage amount for the DB cluster.
The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB cluster. To turn off collecting Enhanced Monitoring metrics, specify 0.
If MonitoringRoleArn is specified, also set MonitoringInterval to a value other than 0.
Valid for Cluster Type: Multi-AZ DB clusters only
Valid Values: 0 | 1 | 5 | 10 | 15 | 30 | 60
Default: 0
The number of days to retain Performance Insights data.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
If you specify a retention period that isn\'t valid, such as 94, Amazon RDS issues an error.
The new amount of storage in gibibytes (GiB) to allocate for the DB instance.
For RDS for Db2, MariaDB, RDS for MySQL, RDS for Oracle, and RDS for PostgreSQL, the value supplied must be at least 10% greater than the current value. Values that are not at least 10% greater than the existing value are rounded up so that they are 10% greater than the current value.
For the valid values for allocated storage for each engine, see CreateDBInstance.
Constraints:
When you increase the allocated storage for a DB instance that uses Provisioned IOPS (gp3, io1, or io2 storage type), you must also specify the Iops parameter. You can use the current value for Iops.
The number of days to retain automated backups. Setting this parameter to a positive number enables backups. Setting this parameter to 0 disables automated backups.
Enabling and disabling backups can result in a brief I/O suspension that lasts from a few seconds to a few minutes, depending on the size and class of your DB instance.
These changes are applied during the next maintenance window unless the ApplyImmediately parameter is enabled for this request. If you change the parameter from one non-zero value to another non-zero value, the change is asynchronously applied as soon as possible.
This setting doesn\'t apply to Amazon Aurora DB instances. The retention period for automated backups is managed by the DB cluster. For more information, see ModifyDBCluster.
Default: Uses existing setting
Constraints:
Must be a value from 0 to 35.
Can\'t be set to 0 if the DB instance is a source to read replicas.
Can\'t be set to 0 for an RDS Custom for Oracle DB instance.
The new Provisioned IOPS (I/O operations per second) value for the RDS instance.
Changing this setting doesn\'t result in an outage and the change is applied during the next maintenance window unless the ApplyImmediately parameter is enabled for this request. If you are migrating from Provisioned IOPS to standard storage, set this value to 0. The DB instance will require a reboot for the change in storage type to take effect.
If you choose to migrate your DB instance from using standard storage to using Provisioned IOPS, or from using Provisioned IOPS to using standard storage, the process can take time. The duration of the migration depends on several factors such as database load, storage size, storage type (standard or Provisioned IOPS), amount of IOPS provisioned (if any), and the number of prior scale storage operations. Typical migration times are under 24 hours, but the process can take up to several days in some cases. During the migration, the DB instance is available for use, but might experience performance degradation. While the migration takes place, nightly backups for the instance are suspended. No other Amazon RDS operations can take place for the instance, including modifying the instance, rebooting the instance, deleting the instance, creating a read replica for the instance, and creating a DB snapshot of the instance.
Constraints:
For RDS for MariaDB, RDS for MySQL, RDS for Oracle, and RDS for PostgreSQL - The value supplied must be at least 10% greater than the current value. Values that are not at least 10% greater than the existing value are rounded up so that they are 10% greater than the current value.
When you increase the Provisioned IOPS, you must also specify the AllocatedStorage parameter. You can use the current value for AllocatedStorage.
Default: Uses existing setting
', 'ModifyDBInstanceMessage$MonitoringInterval' => 'The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB instance. To disable collection of Enhanced Monitoring metrics, specify 0.
If MonitoringRoleArn is specified, set MonitoringInterval to a value other than 0.
This setting doesn\'t apply to RDS Custom DB instances.
Valid Values: 0 | 1 | 5 | 10 | 15 | 30 | 60
Default: 0
The port number on which the database accepts connections.
The value of the DBPortNumber parameter must not match any of the port values specified for options in the option group for the DB instance.
If you change the DBPortNumber value, your database restarts regardless of the value of the ApplyImmediately parameter.
This setting doesn\'t apply to RDS Custom DB instances.
Valid Values: 1150-65535
Default:
Amazon Aurora - 3306
RDS for Db2 - 50000
RDS for MariaDB - 3306
RDS for Microsoft SQL Server - 1433
RDS for MySQL - 3306
RDS for Oracle - 1521
RDS for PostgreSQL - 5432
Constraints:
For RDS for Microsoft SQL Server, the value can\'t be 1234, 1434, 3260, 3343, 3389, 47001, or 49152-49156.
The order of priority in which an Aurora Replica is promoted to the primary instance after a failure of the existing primary instance. For more information, see Fault Tolerance for an Aurora DB Cluster in the Amazon Aurora User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
Default: 1
Valid Values: 0 - 15
The number of days to retain Performance Insights data.
This setting doesn\'t apply to RDS Custom DB instances.
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
If you specify a retention period that isn\'t valid, such as 94, Amazon RDS returns an error.
The upper limit in gibibytes (GiB) to which Amazon RDS can automatically scale the storage of the DB instance.
For more information about this setting, including limitations that apply to it, see Managing capacity automatically with Amazon RDS storage autoscaling in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$ResumeFullAutomationModeMinutes' => 'The number of minutes to pause the automation. When the time period ends, RDS Custom resumes full automation.
Default: 60
Constraints:
Must be at least 60.
Must be no more than 1,440.
The storage throughput value for the DB instance.
This setting applies only to the gp3 storage type.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
', 'ModifyDBProxyRequest$IdleClientTimeout' => 'The number of seconds that a connection to the proxy can be inactive before the proxy disconnects it. You can set this value higher or lower than the connection timeout limit for the associated database.
', 'ModifyDBShardGroupMessage$ComputeRedundancy' => 'Specifies whether to create standby DB shard groups for the DB shard group. Valid values are the following:
0 - Creates a DB shard group without a standby DB shard group. This is the default value.
1 - Creates a DB shard group with a standby DB shard group in a different Availability Zone (AZ).
2 - Creates a DB shard group with two standby DB shard groups in two different AZs.
If required, the port configured for this option to use.
', 'OptionConfiguration$Port' => 'The optional port for the option.
', 'OptionGroupOption$DefaultPort' => 'If the option requires a port, specifies the default port for the option.
', 'OrderableDBInstanceOption$MinStorageSize' => 'Minimum storage size for a DB instance.
', 'OrderableDBInstanceOption$MaxStorageSize' => 'Maximum storage size for a DB instance.
', 'OrderableDBInstanceOption$MinIopsPerDbInstance' => 'Minimum total provisioned IOPS for a DB instance.
', 'OrderableDBInstanceOption$MaxIopsPerDbInstance' => 'Maximum total provisioned IOPS for a DB instance.
', 'OrderableDBInstanceOption$MinStorageThroughputPerDbInstance' => 'Minimum storage throughput for a DB instance.
', 'OrderableDBInstanceOption$MaxStorageThroughputPerDbInstance' => 'Maximum storage throughput for a DB instance.
', 'PendingModifiedValues$AllocatedStorage' => 'The allocated storage size for the DB instance specified in gibibytes (GiB).
', 'PendingModifiedValues$Port' => 'The port for the DB instance.
', 'PendingModifiedValues$BackupRetentionPeriod' => 'The number of days for which automated backups are retained.
', 'PendingModifiedValues$Iops' => 'The Provisioned IOPS value for the DB instance.
', 'PendingModifiedValues$StorageThroughput' => 'The storage throughput of the DB instance.
', 'PromoteReadReplicaMessage$BackupRetentionPeriod' => 'The number of days for which automated backups are retained. Setting this parameter to a positive number enables backups. Setting this parameter to 0 disables automated backups.
Default: 1
Constraints:
Must be a value from 0 to 35.
Can\'t be set to 0 if the DB instance is a source to read replicas.
The number of instances to reserve.
Default: 1
The step value for the range. For example, if you have a range of 5,000 to 10,000, with a step value of 1,000, the valid values start at 5,000 and step up by 1,000. Even though 7,500 is within the range, it isn\'t a valid value for the range. The valid values are 5,000, 6,000, 7,000, 8,000...
', 'RestoreDBClusterFromS3Message$BackupRetentionPeriod' => 'The number of days for which automated backups of the restored DB cluster are retained. You must specify a minimum value of 1.
Default: 1
Constraints:
Must be a value from 1 to 35
The port number on which the instances in the restored DB cluster accept connections.
Default: 3306
The port number on which the new DB cluster accepts connections.
Constraints: This value must be 1150-65535
Default: The same port as the original DB cluster.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$Iops' => 'The amount of Provisioned IOPS (input/output operations per second) to be initially allocated for each DB instance in the Multi-AZ DB cluster.
For information about valid IOPS values, see Amazon RDS Provisioned IOPS storage in the Amazon RDS User Guide.
Constraints: Must be a multiple between .5 and 50 of the storage amount for the DB instance.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$MonitoringInterval' => 'The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB cluster. To turn off collecting Enhanced Monitoring metrics, specify 0.
If MonitoringRoleArn is specified, also set MonitoringInterval to a value other than 0.
Valid Values: 0 | 1 | 5 | 10 | 15 | 30 | 60
Default: 0
The number of days to retain Performance Insights data.
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
If you specify a retention period that isn\'t valid, such as 94, Amazon RDS issues an error.
The port number on which the new DB cluster accepts connections.
Constraints: A value from 1150-65535.
Default: The default port for the engine.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$Iops' => 'The amount of Provisioned IOPS (input/output operations per second) to be initially allocated for each DB instance in the Multi-AZ DB cluster.
For information about valid IOPS values, see Amazon RDS Provisioned IOPS storage in the Amazon RDS User Guide.
Constraints: Must be a multiple between .5 and 50 of the storage amount for the DB instance.
Valid for: Multi-AZ DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$MonitoringInterval' => 'The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB cluster. To turn off collecting Enhanced Monitoring metrics, specify 0.
If MonitoringRoleArn is specified, also set MonitoringInterval to a value other than 0.
Valid Values: 0 | 1 | 5 | 10 | 15 | 30 | 60
Default: 0
The number of days to retain Performance Insights data.
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
If you specify a retention period that isn\'t valid, such as 94, Amazon RDS issues an error.
The port number on which the database accepts connections.
Default: The same port as the original DB instance
Constraints: Value must be 1150-65535
Specifies the amount of provisioned IOPS for the DB instance, expressed in I/O operations per second. If this parameter isn\'t specified, the IOPS value is taken from the backup. If this parameter is set to 0, the new instance is converted to a non-PIOPS instance. The conversion takes additional time, though your DB instance is available for connections before the conversion starts.
The provisioned IOPS value must follow the requirements for your database engine. For more information, see Amazon RDS Provisioned IOPS storage in the Amazon RDS User Guide.
Constraints: Must be an integer greater than 1000.
', 'RestoreDBInstanceFromDBSnapshotMessage$StorageThroughput' => 'Specifies the storage throughput value for the DB instance.
This setting doesn\'t apply to RDS Custom or Amazon Aurora.
', 'RestoreDBInstanceFromDBSnapshotMessage$AllocatedStorage' => 'The amount of storage (in gibibytes) to allocate initially for the DB instance. Follow the allocation rules specified in CreateDBInstance.
This setting isn\'t valid for RDS for SQL Server.
Be sure to allocate enough storage for your new DB instance so that the restore operation can succeed. You can also allocate additional storage for future growth.
The amount of storage (in gibibytes) to allocate initially for the DB instance. Follow the allocation rules specified in CreateDBInstance.
This setting isn\'t valid for RDS for SQL Server.
Be sure to allocate enough storage for your new DB instance so that the restore operation can succeed. You can also allocate additional storage for future growth.
The number of days for which automated backups are retained. Setting this parameter to a positive number enables backups. For more information, see CreateDBInstance.
The port number on which the database accepts connections.
Type: Integer
Valid Values: 1150-65535
Default: 3306
The amount of Provisioned IOPS (input/output operations per second) to allocate initially for the DB instance. For information about valid IOPS values, see Amazon RDS Provisioned IOPS storage in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromS3Message$MonitoringInterval' => 'The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB instance. To disable collecting Enhanced Monitoring metrics, specify 0.
If MonitoringRoleArn is specified, then you must also set MonitoringInterval to a value other than 0.
Valid Values: 0, 1, 5, 10, 15, 30, 60
Default: 0
The number of days to retain Performance Insights data. The default is 7 days. The following values are valid:
7
month * 31, where month is a number of months from 1-23
731
For example, the following values are valid:
93 (3 months * 31)
341 (11 months * 31)
589 (19 months * 31)
731
If you specify a retention period such as 94, which isn\'t a valid value, RDS issues an error.
', 'RestoreDBInstanceFromS3Message$MaxAllocatedStorage' => 'The upper limit in gibibytes (GiB) to which Amazon RDS can automatically scale the storage of the DB instance.
For more information about this setting, including limitations that apply to it, see Managing capacity automatically with Amazon RDS storage autoscaling in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromS3Message$StorageThroughput' => 'Specifies the storage throughput value for the DB instance.
This setting doesn\'t apply to RDS Custom or Amazon Aurora.
', 'RestoreDBInstanceToPointInTimeMessage$Port' => 'The port number on which the database accepts connections.
Default: The same port as the original DB instance.
Constraints:
The value must be 1150-65535.
The amount of Provisioned IOPS (input/output operations per second) to initially allocate for the DB instance.
This setting doesn\'t apply to SQL Server.
Constraints:
Must be an integer greater than 1000.
The upper limit in gibibytes (GiB) to which Amazon RDS can automatically scale the storage of the DB instance.
For more information about this setting, including limitations that apply to it, see Managing capacity automatically with Amazon RDS storage autoscaling in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceToPointInTimeMessage$StorageThroughput' => 'The storage throughput value for the DB instance.
This setting doesn\'t apply to RDS Custom or Amazon Aurora.
', 'RestoreDBInstanceToPointInTimeMessage$AllocatedStorage' => 'The amount of storage (in gibibytes) to allocate initially for the DB instance. Follow the allocation rules specified in CreateDBInstance.
This setting isn\'t valid for RDS for SQL Server.
Be sure to allocate enough storage for your new DB instance so that the restore operation can succeed. You can also allocate additional storage for future growth.
The minimum capacity for an Aurora DB cluster in serverless DB engine mode.
For Aurora MySQL, valid capacity values are 1, 2, 4, 8, 16, 32, 64, 128, and 256.
For Aurora PostgreSQL, valid capacity values are 2, 4, 8, 16, 32, 64, 192, and 384.
The minimum capacity must be less than or equal to the maximum capacity.
', 'ScalingConfiguration$MaxCapacity' => 'The maximum capacity for an Aurora DB cluster in serverless DB engine mode.
For Aurora MySQL, valid capacity values are 1, 2, 4, 8, 16, 32, 64, 128, and 256.
For Aurora PostgreSQL, valid capacity values are 2, 4, 8, 16, 32, 64, 192, and 384.
The maximum capacity must be greater than or equal to the minimum capacity.
', 'ScalingConfiguration$SecondsUntilAutoPause' => 'The time, in seconds, before an Aurora DB cluster in serverless mode is paused.
Specify a value between 300 and 86,400 seconds.
', 'ScalingConfiguration$SecondsBeforeTimeout' => 'The amount of time, in seconds, that Aurora Serverless v1 tries to find a scaling point to perform seamless scaling before enforcing the timeout action. The default is 300.
Specify a value between 60 and 600 seconds.
', 'ScalingConfigurationInfo$MinCapacity' => 'The minimum capacity for an Aurora DB cluster in serverless DB engine mode.
The maximum capacity for an Aurora DB cluster in serverless DB engine mode.
The remaining amount of time, in seconds, before the Aurora DB cluster in serverless mode is paused. A DB cluster can be paused only when it\'s idle (it has no connections).
The number of seconds before scaling times out. What happens when an attempted scaling action times out is determined by the TimeoutAction setting.
Specifies the number of seconds an Aurora Serverless v2 DB instance must be idle before Aurora attempts to automatically pause it.
Specify a value between 300 seconds (five minutes) and 86,400 seconds (one day). The default is 300 seconds.
', 'ServerlessV2ScalingConfigurationInfo$SecondsUntilAutoPause' => 'The number of seconds an Aurora Serverless v2 DB instance must be idle before Aurora attempts to automatically pause it. This property is only shown when the minimum capacity for the cluster is set to 0 ACUs. Changing the minimum capacity to a nonzero value removes this property. If you later change the minimum capacity back to 0 ACUs, this property is reset to its default value unless you specify it again.
This value ranges between 300 seconds (five minutes) and 86,400 seconds (one day). The default is 300 seconds.
', 'StartDBInstanceAutomatedBackupsReplicationMessage$BackupRetentionPeriod' => 'The retention period for the replicated automated backups.
', ], ], 'Integration' => [ 'base' => 'A zero-ETL integration with Amazon Redshift.
', 'refs' => [ 'IntegrationList$member' => NULL, ], ], 'IntegrationAlreadyExistsFault' => [ 'base' => 'The integration you are trying to create already exists.
', 'refs' => [], ], 'IntegrationArn' => [ 'base' => NULL, 'refs' => [ 'Integration$IntegrationArn' => 'The ARN of the integration.
', ], ], 'IntegrationConflictOperationFault' => [ 'base' => 'A conflicting conditional operation is currently in progress against this resource. Typically occurs when there are multiple requests being made to the same resource at the same time, and these requests conflict with each other.
', 'refs' => [], ], 'IntegrationDescription' => [ 'base' => NULL, 'refs' => [ 'CreateIntegrationMessage$Description' => 'A description of the integration.
', 'Integration$Description' => 'A description of the integration.
', 'ModifyIntegrationMessage$Description' => 'A new description for the integration.
', ], ], 'IntegrationError' => [ 'base' => 'An error associated with a zero-ETL integration with Amazon Redshift.
', 'refs' => [ 'IntegrationErrorList$member' => NULL, ], ], 'IntegrationErrorList' => [ 'base' => NULL, 'refs' => [ 'Integration$Errors' => 'Any errors associated with the integration.
', ], ], 'IntegrationIdentifier' => [ 'base' => NULL, 'refs' => [ 'DeleteIntegrationMessage$IntegrationIdentifier' => 'The unique identifier of the integration.
', 'DescribeIntegrationsMessage$IntegrationIdentifier' => 'The unique identifier of the integration.
', 'ModifyIntegrationMessage$IntegrationIdentifier' => 'The unique identifier of the integration to modify.
', ], ], 'IntegrationList' => [ 'base' => NULL, 'refs' => [ 'DescribeIntegrationsResponse$Integrations' => 'A list of integrations.
', ], ], 'IntegrationName' => [ 'base' => NULL, 'refs' => [ 'CreateIntegrationMessage$IntegrationName' => 'The name of the integration.
', 'Integration$IntegrationName' => 'The name of the integration.
', 'ModifyIntegrationMessage$IntegrationName' => 'A new name for the integration.
', ], ], 'IntegrationNotFoundFault' => [ 'base' => 'The specified integration could not be found.
', 'refs' => [], ], 'IntegrationQuotaExceededFault' => [ 'base' => 'You can\'t crate any more zero-ETL integrations because the quota has been reached.
', 'refs' => [], ], 'IntegrationStatus' => [ 'base' => NULL, 'refs' => [ 'Integration$Status' => 'The current status of the integration.
', ], ], 'InvalidBlueGreenDeploymentStateFault' => [ 'base' => 'The blue/green deployment can\'t be switched over or deleted because there is an invalid configuration in the green environment.
', 'refs' => [], ], 'InvalidCustomDBEngineVersionStateFault' => [ 'base' => 'You can\'t delete the CEV.
', 'refs' => [], ], 'InvalidDBClusterAutomatedBackupStateFault' => [ 'base' => 'The automated backup is in an invalid state. For example, this automated backup is associated with an active cluster.
', 'refs' => [], ], 'InvalidDBClusterCapacityFault' => [ 'base' => ' Capacity isn\'t a valid Aurora Serverless DB cluster capacity. Valid capacity values are 2, 4, 8, 16, 32, 64, 128, and 256.
The requested operation can\'t be performed on the endpoint while the endpoint is in this state.
', 'refs' => [], ], 'InvalidDBClusterSnapshotStateFault' => [ 'base' => 'The supplied value isn\'t a valid DB cluster snapshot state.
', 'refs' => [], ], 'InvalidDBClusterStateFault' => [ 'base' => 'The requested operation can\'t be performed while the cluster is in this state.
', 'refs' => [], ], 'InvalidDBInstanceAutomatedBackupStateFault' => [ 'base' => 'The automated backup is in an invalid state. For example, this automated backup is associated with an active instance.
', 'refs' => [], ], 'InvalidDBInstanceStateFault' => [ 'base' => 'The DB instance isn\'t in a valid state.
', 'refs' => [], ], 'InvalidDBParameterGroupStateFault' => [ 'base' => 'The DB parameter group is in use or is in an invalid state. If you are attempting to delete the parameter group, you can\'t delete it when the parameter group is in this state.
', 'refs' => [], ], 'InvalidDBProxyEndpointStateFault' => [ 'base' => 'You can\'t perform this operation while the DB proxy endpoint is in a particular state.
', 'refs' => [], ], 'InvalidDBProxyStateFault' => [ 'base' => 'The requested operation can\'t be performed while the proxy is in this state.
', 'refs' => [], ], 'InvalidDBSecurityGroupStateFault' => [ 'base' => 'The state of the DB security group doesn\'t allow deletion.
', 'refs' => [], ], 'InvalidDBShardGroupStateFault' => [ 'base' => 'The DB shard group must be in the available state.
', 'refs' => [], ], 'InvalidDBSnapshotStateFault' => [ 'base' => 'The state of the DB snapshot doesn\'t allow deletion.
', 'refs' => [], ], 'InvalidDBSubnetGroupFault' => [ 'base' => 'The DBSubnetGroup doesn\'t belong to the same VPC as that of an existing cross-region read replica of the same source instance.
', 'refs' => [], ], 'InvalidDBSubnetGroupStateFault' => [ 'base' => 'The DB subnet group cannot be deleted because it\'s in use.
', 'refs' => [], ], 'InvalidDBSubnetStateFault' => [ 'base' => 'The DB subnet isn\'t in the available state.
', 'refs' => [], ], 'InvalidEventSubscriptionStateFault' => [ 'base' => 'This error can occur if someone else is modifying a subscription. You should retry the action.
', 'refs' => [], ], 'InvalidExportOnlyFault' => [ 'base' => 'The export is invalid for exporting to an Amazon S3 bucket.
', 'refs' => [], ], 'InvalidExportSourceStateFault' => [ 'base' => 'The state of the export snapshot is invalid for exporting to an Amazon S3 bucket.
', 'refs' => [], ], 'InvalidExportTaskStateFault' => [ 'base' => 'You can\'t cancel an export task that has completed.
', 'refs' => [], ], 'InvalidGlobalClusterStateFault' => [ 'base' => 'The global cluster is in an invalid state and can\'t perform the requested operation.
', 'refs' => [], ], 'InvalidIntegrationStateFault' => [ 'base' => 'The integration is in an invalid state and can\'t perform the requested operation.
', 'refs' => [], ], 'InvalidOptionGroupStateFault' => [ 'base' => 'The option group isn\'t in the available state.
', 'refs' => [], ], 'InvalidResourceStateFault' => [ 'base' => 'The operation can\'t be performed because another operation is in progress.
', 'refs' => [], ], 'InvalidRestoreFault' => [ 'base' => 'Cannot restore from VPC backup to non-VPC DB instance.
', 'refs' => [], ], 'InvalidS3BucketFault' => [ 'base' => 'The specified Amazon S3 bucket name can\'t be found or Amazon RDS isn\'t authorized to access the specified Amazon S3 bucket. Verify the SourceS3BucketName and S3IngestionRoleArn values and try again.
', 'refs' => [], ], 'InvalidSubnet' => [ 'base' => 'The requested subnet is invalid, or multiple subnets were requested that are not all in a common VPC.
', 'refs' => [], ], 'InvalidVPCNetworkStateFault' => [ 'base' => 'The DB subnet group doesn\'t cover all Availability Zones after it\'s created because of users\' change.
', 'refs' => [], ], 'IssueDetails' => [ 'base' => 'The details of an issue with your DB instances, DB clusters, and DB parameter groups.
', 'refs' => [ 'DBRecommendation$IssueDetails' => 'Details of the issue that caused the recommendation.
', 'RecommendedAction$IssueDetails' => 'The details of the issue.
', ], ], 'KMSKeyNotAccessibleFault' => [ 'base' => 'An error occurred accessing an Amazon Web Services KMS key.
', 'refs' => [], ], 'KeyList' => [ 'base' => NULL, 'refs' => [ 'RemoveTagsFromResourceMessage$TagKeys' => 'The tag key (name) of the tag to be removed.
', ], ], 'KmsKeyIdOrArn' => [ 'base' => NULL, 'refs' => [ 'CreateCustomDBEngineVersionMessage$KMSKeyId' => 'The Amazon Web Services KMS key identifier for an encrypted CEV. A symmetric encryption KMS key is required for RDS Custom, but optional for Amazon RDS.
If you have an existing symmetric encryption KMS key in your account, you can use it with RDS Custom. No further action is necessary. If you don\'t already have a symmetric encryption KMS key in your account, follow the instructions in Creating a symmetric encryption KMS key in the Amazon Web Services Key Management Service Developer Guide.
You can choose the same symmetric encryption key when you create a CEV and a DB instance, or choose different keys.
', ], ], 'LimitlessDatabase' => [ 'base' => 'Contains details for Aurora Limitless Database.
', 'refs' => [ 'DBCluster$LimitlessDatabase' => 'The details for Aurora Limitless Database.
', ], ], 'LimitlessDatabaseStatus' => [ 'base' => NULL, 'refs' => [ 'LimitlessDatabase$Status' => 'The status of Aurora Limitless Database.
', ], ], 'ListTagsForResourceMessage' => [ 'base' => '', 'refs' => [], ], 'LocalWriteForwardingStatus' => [ 'base' => NULL, 'refs' => [ 'DBCluster$LocalWriteForwardingStatus' => 'Indicates whether an Aurora DB cluster has in-cluster write forwarding enabled, not enabled, requested, or is in the process of enabling it.
', ], ], 'LogTypeList' => [ 'base' => NULL, 'refs' => [ 'CloudwatchLogsExportConfiguration$EnableLogTypes' => 'The list of log types to enable.
The following values are valid for each DB engine:
Aurora MySQL - audit | error | general | slowquery
Aurora PostgreSQL - postgresql
RDS for MySQL - error | general | slowquery
RDS for PostgreSQL - postgresql | upgrade
The list of log types to disable.
The following values are valid for each DB engine:
Aurora MySQL - audit | error | general | slowquery
Aurora PostgreSQL - postgresql
RDS for MySQL - error | general | slowquery
RDS for PostgreSQL - postgresql | upgrade
The list of log types that need to be enabled for exporting to CloudWatch Logs.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
The following values are valid for each DB engine:
Aurora MySQL - audit | error | general | slowquery
Aurora PostgreSQL - postgresql
RDS for MySQL - error | general | slowquery
RDS for PostgreSQL - postgresql | upgrade
For more information about exporting CloudWatch Logs for Amazon RDS, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
For more information about exporting CloudWatch Logs for Amazon Aurora, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon Aurora User Guide.
', 'CreateDBInstanceMessage$EnableCloudwatchLogsExports' => 'The list of log types to enable for exporting to CloudWatch Logs. For more information, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora (CloudWatch Logs exports are managed by the DB cluster.)
RDS Custom
The following values are valid for each DB engine:
RDS for Db2 - diag.log | notify.log
RDS for MariaDB - audit | error | general | slowquery
RDS for Microsoft SQL Server - agent | error
RDS for MySQL - audit | error | general | slowquery
RDS for Oracle - alert | audit | listener | trace | oemagent
RDS for PostgreSQL - postgresql | upgrade
The list of logs that the new DB instance is to export to CloudWatch Logs. The values in the list depend on the DB engine being used. For more information, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'DBCluster$EnabledCloudwatchLogsExports' => 'A list of log types that this DB cluster is configured to export to CloudWatch Logs.
Log types vary by DB engine. For information about the log types for each DB engine, see Amazon RDS Database Log Files in the Amazon Aurora User Guide.
', 'DBEngineVersion$ExportableLogTypes' => 'The types of logs that the database engine has available for export to CloudWatch Logs.
', 'DBInstance$EnabledCloudwatchLogsExports' => 'A list of log types that this DB instance is configured to export to CloudWatch Logs.
Log types vary by DB engine. For information about the log types for each DB engine, see Monitoring Amazon RDS log files in the Amazon RDS User Guide.
', 'PendingCloudwatchLogsExports$LogTypesToEnable' => 'Log types that are in the process of being deactivated. After they are deactivated, these log types aren\'t exported to CloudWatch Logs.
', 'PendingCloudwatchLogsExports$LogTypesToDisable' => 'Log types that are in the process of being enabled. After they are enabled, these log types are exported to CloudWatch Logs.
', 'RestoreDBClusterFromS3Message$EnableCloudwatchLogsExports' => 'The list of logs that the restored DB cluster is to export to CloudWatch Logs. The values in the list depend on the DB engine being used.
Aurora MySQL
Possible values are audit, error, general, and slowquery.
For more information about exporting CloudWatch Logs for Amazon Aurora, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon Aurora User Guide.
', 'RestoreDBClusterFromSnapshotMessage$EnableCloudwatchLogsExports' => 'The list of logs that the restored DB cluster is to export to Amazon CloudWatch Logs. The values in the list depend on the DB engine being used.
RDS for MySQL
Possible values are error, general, and slowquery.
RDS for PostgreSQL
Possible values are postgresql and upgrade.
Aurora MySQL
Possible values are audit, error, general, and slowquery.
Aurora PostgreSQL
Possible value is postgresql.
For more information about exporting CloudWatch Logs for Amazon RDS, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
For more information about exporting CloudWatch Logs for Amazon Aurora, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon Aurora User Guide.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$EnableCloudwatchLogsExports' => 'The list of logs that the restored DB cluster is to export to CloudWatch Logs. The values in the list depend on the DB engine being used.
RDS for MySQL
Possible values are error, general, and slowquery.
RDS for PostgreSQL
Possible values are postgresql and upgrade.
Aurora MySQL
Possible values are audit, error, general, and slowquery.
Aurora PostgreSQL
Possible value is postgresql.
For more information about exporting CloudWatch Logs for Amazon RDS, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
For more information about exporting CloudWatch Logs for Amazon Aurora, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon Aurora User Guide.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBInstanceFromDBSnapshotMessage$EnableCloudwatchLogsExports' => 'The list of logs for the restored DB instance to export to CloudWatch Logs. The values in the list depend on the DB engine. For more information, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceFromS3Message$EnableCloudwatchLogsExports' => 'The list of logs that the restored DB instance is to export to CloudWatch Logs. The values in the list depend on the DB engine being used. For more information, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
', 'RestoreDBInstanceToPointInTimeMessage$EnableCloudwatchLogsExports' => 'The list of logs that the restored DB instance is to export to CloudWatch Logs. The values in the list depend on the DB engine being used. For more information, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom.
', ], ], 'Long' => [ 'base' => NULL, 'refs' => [ 'AccountQuota$Used' => 'The amount currently used toward the quota maximum.
', 'AccountQuota$Max' => 'The maximum allowed value for the quota.
', 'DescribeDBLogFilesDetails$LastWritten' => 'A POSIX timestamp when the last log entry was written.
', 'DescribeDBLogFilesDetails$Size' => 'The size, in bytes, of the log file for the specified DB instance.
', 'DescribeDBLogFilesMessage$FileLastWritten' => 'Filters the available log files for files written since the specified date, in POSIX timestamp format with milliseconds.
', 'DescribeDBLogFilesMessage$FileSize' => 'Filters the available log files for files larger than the specified size.
', ], ], 'LongOptional' => [ 'base' => NULL, 'refs' => [ 'CreateDBClusterMessage$BacktrackWindow' => 'The target backtrack window, in seconds. To disable backtracking, set this value to 0.
Valid for Cluster Type: Aurora MySQL DB clusters only
Default: 0
Constraints:
If specified, this value must be set to a number from 0 to 259,200 (72 hours).
The target backtrack window, in seconds. If this value is set to 0, backtracking is disabled for the DB cluster. Otherwise, backtracking is enabled.
The number of change records stored for Backtrack.
', 'ModifyDBClusterMessage$BacktrackWindow' => 'The target backtrack window, in seconds. To disable backtracking, set this value to 0.
Valid for Cluster Type: Aurora MySQL DB clusters only
Default: 0
Constraints:
If specified, this value must be set to a number from 0 to 259,200 (72 hours).
The target backtrack window, in seconds. To disable backtracking, set this value to 0.
Currently, Backtrack is only supported for Aurora MySQL DB clusters.
Default: 0
Constraints:
If specified, this value must be set to a number from 0 to 259,200 (72 hours).
The target backtrack window, in seconds. To disable backtracking, set this value to 0.
Currently, Backtrack is only supported for Aurora MySQL DB clusters.
Default: 0
Constraints:
If specified, this value must be set to a number from 0 to 259,200 (72 hours).
Valid for: Aurora DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$BacktrackWindow' => 'The target backtrack window, in seconds. To disable backtracking, set this value to 0.
Default: 0
Constraints:
If specified, this value must be set to a number from 0 to 259,200 (72 hours).
Valid for: Aurora MySQL DB clusters only
', ], ], 'Marker' => [ 'base' => NULL, 'refs' => [ 'DescribeIntegrationsMessage$Marker' => 'An optional pagination token provided by a previous DescribeIntegrations request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
A pagination token that can be used in a later DescribeIntegrations request.
Contains the secret managed by RDS in Amazon Web Services Secrets Manager for the master user password.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide and Password management with Amazon Web Services Secrets Manager in the Amazon Aurora User Guide.
', 'refs' => [ 'DBCluster$MasterUserSecret' => 'The secret managed by RDS in Amazon Web Services Secrets Manager for the master user password.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide and Password management with Amazon Web Services Secrets Manager in the Amazon Aurora User Guide.
', 'DBInstance$MasterUserSecret' => 'The secret managed by RDS in Amazon Web Services Secrets Manager for the master user password.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide.
', ], ], 'MaxDBShardGroupLimitReached' => [ 'base' => 'The maximum number of DB shard groups for your Amazon Web Services account in the specified Amazon Web Services Region has been reached.
', 'refs' => [], ], 'MaxRecords' => [ 'base' => NULL, 'refs' => [ 'DescribeBlueGreenDeploymentsRequest$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints:
Must be a minimum of 20.
Can\'t exceed 100.
The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that the remaining results can be retrieved.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBProxyEndpointsRequest$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that the remaining results can be retrieved.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBProxyTargetGroupsRequest$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that the remaining results can be retrieved.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBProxyTargetsRequest$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that the remaining results can be retrieved.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBShardGroupsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100
', 'DescribeExportTasksMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified value, a pagination token called a marker is included in the response. You can use the marker in a later DescribeExportTasks request to retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', ], ], 'Metric' => [ 'base' => 'The representation of a metric.
', 'refs' => [ 'MetricList$member' => NULL, ], ], 'MetricList' => [ 'base' => NULL, 'refs' => [ 'PerformanceIssueDetails$Metrics' => 'The metrics that are relevant to the performance issue.
', ], ], 'MetricQuery' => [ 'base' => 'The query to retrieve metric data points.
', 'refs' => [ 'Metric$MetricQuery' => 'The query to retrieve metric data points.
', ], ], 'MetricReference' => [ 'base' => 'The reference (threshold) for a metric.
', 'refs' => [ 'MetricReferenceList$member' => NULL, ], ], 'MetricReferenceList' => [ 'base' => NULL, 'refs' => [ 'Metric$References' => 'A list of metric references (thresholds).
', ], ], 'MinimumEngineVersionPerAllowedValue' => [ 'base' => 'The minimum DB engine version required for each corresponding allowed value for an option setting.
', 'refs' => [ 'MinimumEngineVersionPerAllowedValueList$member' => NULL, ], ], 'MinimumEngineVersionPerAllowedValueList' => [ 'base' => NULL, 'refs' => [ 'OptionGroupOptionSetting$MinimumEngineVersionPerAllowedValue' => 'The minimum DB engine version required for the corresponding allowed value for this option setting.
', ], ], 'ModifyActivityStreamRequest' => [ 'base' => NULL, 'refs' => [], ], 'ModifyActivityStreamResponse' => [ 'base' => NULL, 'refs' => [], ], 'ModifyCertificatesMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyCertificatesResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyCurrentDBClusterCapacityMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyCustomDBEngineVersionMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBClusterEndpointMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBClusterMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyDBClusterParameterGroupMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyDBClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBClusterSnapshotAttributeMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyDBClusterSnapshotAttributeResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBInstanceMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyDBInstanceResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBParameterGroupMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyDBProxyEndpointRequest' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBProxyEndpointResponse' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBProxyRequest' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBProxyResponse' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBProxyTargetGroupRequest' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBProxyTargetGroupResponse' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBRecommendationMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBShardGroupMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBSnapshotAttributeMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyDBSnapshotAttributeResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBSnapshotMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBSnapshotResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBSubnetGroupMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyDBSubnetGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyEventSubscriptionMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyEventSubscriptionResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyGlobalClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyGlobalClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyIntegrationMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyOptionGroupMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyOptionGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyTenantDatabaseMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyTenantDatabaseResult' => [ 'base' => NULL, 'refs' => [], ], 'NetworkTypeNotSupported' => [ 'base' => 'The network type is invalid for the DB instance. Valid nework type values are IPV4 and DUAL.
The details of an option.
', 'refs' => [ 'OptionsList$member' => NULL, ], ], 'OptionConfiguration' => [ 'base' => 'A list of all available options for an option group.
', 'refs' => [ 'OptionConfigurationList$member' => NULL, ], ], 'OptionConfigurationList' => [ 'base' => NULL, 'refs' => [ 'ModifyOptionGroupMessage$OptionsToInclude' => 'Options in this list are added to the option group or, if already present, the specified configuration is used to update the existing configuration.
', ], ], 'OptionGroup' => [ 'base' => '', 'refs' => [ 'CopyOptionGroupResult$OptionGroup' => NULL, 'CreateOptionGroupResult$OptionGroup' => NULL, 'ModifyOptionGroupResult$OptionGroup' => NULL, 'OptionGroupsList$member' => NULL, ], ], 'OptionGroupAlreadyExistsFault' => [ 'base' => 'The option group you are trying to create already exists.
', 'refs' => [], ], 'OptionGroupMembership' => [ 'base' => 'Provides information on the option groups the DB instance is a member of.
', 'refs' => [ 'OptionGroupMembershipList$member' => NULL, ], ], 'OptionGroupMembershipList' => [ 'base' => NULL, 'refs' => [ 'DBInstance$OptionGroupMemberships' => 'The list of option group memberships for this DB instance.
', ], ], 'OptionGroupNotFoundFault' => [ 'base' => 'The specified option group could not be found.
', 'refs' => [], ], 'OptionGroupOption' => [ 'base' => 'Available option.
', 'refs' => [ 'OptionGroupOptionsList$member' => NULL, ], ], 'OptionGroupOptionSetting' => [ 'base' => 'Option group option settings are used to display settings available for each option with their default values and other information. These values are used with the DescribeOptionGroupOptions action.
', 'refs' => [ 'OptionGroupOptionSettingsList$member' => NULL, ], ], 'OptionGroupOptionSettingsList' => [ 'base' => NULL, 'refs' => [ 'OptionGroupOption$OptionGroupOptionSettings' => 'The option settings that are available (and the default value) for each option in an option group.
', ], ], 'OptionGroupOptionVersionsList' => [ 'base' => NULL, 'refs' => [ 'OptionGroupOption$OptionGroupOptionVersions' => 'The versions that are available for the option.
', ], ], 'OptionGroupOptionsList' => [ 'base' => 'List of available option group options.
', 'refs' => [ 'OptionGroupOptionsMessage$OptionGroupOptions' => NULL, ], ], 'OptionGroupOptionsMessage' => [ 'base' => '', 'refs' => [], ], 'OptionGroupQuotaExceededFault' => [ 'base' => 'The quota of 20 option groups was exceeded for this Amazon Web Services account.
', 'refs' => [], ], 'OptionGroups' => [ 'base' => 'List of option groups.
', 'refs' => [], ], 'OptionGroupsList' => [ 'base' => NULL, 'refs' => [ 'OptionGroups$OptionGroupsList' => 'List of option groups.
', ], ], 'OptionNamesList' => [ 'base' => NULL, 'refs' => [ 'ModifyOptionGroupMessage$OptionsToRemove' => 'Options in this list are removed from the option group.
', ], ], 'OptionSetting' => [ 'base' => 'Option settings are the actual settings being applied or configured for that option. It is used when you modify an option group or describe option groups. For example, the NATIVE_NETWORK_ENCRYPTION option has a setting called SQLNET.ENCRYPTION_SERVER that can have several different values.
', 'refs' => [ 'OptionSettingConfigurationList$member' => NULL, 'OptionSettingsList$member' => NULL, ], ], 'OptionSettingConfigurationList' => [ 'base' => NULL, 'refs' => [ 'Option$OptionSettings' => 'The option settings for this option.
', ], ], 'OptionSettingsList' => [ 'base' => NULL, 'refs' => [ 'OptionConfiguration$OptionSettings' => 'The option settings to include in an option group.
', ], ], 'OptionVersion' => [ 'base' => 'The version for an option. Option group option versions are returned by the DescribeOptionGroupOptions action.
The options that conflict with this option.
', ], ], 'OptionsDependedOn' => [ 'base' => NULL, 'refs' => [ 'OptionGroupOption$OptionsDependedOn' => 'The options that are prerequisites for this option.
', ], ], 'OptionsList' => [ 'base' => NULL, 'refs' => [ 'OptionGroup$Options' => 'Indicates what options are available in the option group.
', ], ], 'OrderableDBInstanceOption' => [ 'base' => 'Contains a list of available options for a DB instance.
This data type is used as a response element in the DescribeOrderableDBInstanceOptions action.
An OrderableDBInstanceOption structure containing information about orderable options for the DB instance.
Contains the result of a successful invocation of the DescribeOrderableDBInstanceOptions action.
A data type that represents an Outpost.
For more information about RDS on Outposts, see Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
', 'refs' => [ 'Subnet$SubnetOutpost' => 'If the subnet is associated with an Outpost, this value specifies the Outpost.
For more information about RDS on Outposts, see Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
', ], ], 'Parameter' => [ 'base' => 'This data type is used as a request parameter in the ModifyDBParameterGroup and ResetDBParameterGroup actions.
This data type is used as a response element in the DescribeEngineDefaultParameters and DescribeDBParameters actions.
Provides a list of parameters for the DB cluster parameter group.
', 'DBParameterGroupDetails$Parameters' => 'A list of Parameter values.
Contains a list of engine default parameters.
', 'ModifyDBClusterParameterGroupMessage$Parameters' => 'A list of parameters in the DB cluster parameter group to modify.
Valid Values (for the application method): immediate | pending-reboot
You can use the immediate value with dynamic parameters only. You can use the pending-reboot value for both dynamic and static parameters.
When the application method is immediate, changes to dynamic parameters are applied immediately to the DB clusters associated with the parameter group. When the application method is pending-reboot, changes to dynamic and static parameters are applied after a reboot without failover to the DB clusters associated with the parameter group.
An array of parameter names, values, and the application methods for the parameter update. At least one parameter name, value, and application method must be supplied; later arguments are optional. A maximum of 20 parameters can be modified in a single request.
Valid Values (for the application method): immediate | pending-reboot
You can use the immediate value with dynamic parameters only. You can use the pending-reboot value for both dynamic and static parameters.
When the application method is immediate, changes to dynamic parameters are applied immediately to the DB instances associated with the parameter group.
When the application method is pending-reboot, changes to dynamic and static parameters are applied after a reboot without failover to the DB instances associated with the parameter group.
You can\'t use pending-reboot with dynamic parameters on RDS for SQL Server DB instances. Use immediate.
For more information on modifying DB parameters, see Working with DB parameter groups in the Amazon RDS User Guide.
', 'ResetDBClusterParameterGroupMessage$Parameters' => 'A list of parameter names in the DB cluster parameter group to reset to the default values. You can\'t use this parameter if the ResetAllParameters parameter is enabled.
To reset the entire DB parameter group, specify the DBParameterGroup name and ResetAllParameters parameters. To reset specific parameters, provide a list of the following: ParameterName and ApplyMethod. A maximum of 20 parameters can be modified in a single request.
MySQL
Valid Values (for Apply method): immediate | pending-reboot
You can use the immediate value with dynamic parameters only. You can use the pending-reboot value for both dynamic and static parameters, and changes are applied when DB instance reboots.
MariaDB
Valid Values (for Apply method): immediate | pending-reboot
You can use the immediate value with dynamic parameters only. You can use the pending-reboot value for both dynamic and static parameters, and changes are applied when DB instance reboots.
Oracle
Valid Values (for Apply method): pending-reboot
A list of the log types whose configuration is still pending. In other words, these log types are in the process of being activated or deactivated.
', 'refs' => [ 'ClusterPendingModifiedValues$PendingCloudwatchLogsExports' => NULL, 'PendingModifiedValues$PendingCloudwatchLogsExports' => NULL, ], ], 'PendingMaintenanceAction' => [ 'base' => 'Provides information about a pending maintenance action for a resource.
', 'refs' => [ 'PendingMaintenanceActionDetails$member' => NULL, ], ], 'PendingMaintenanceActionDetails' => [ 'base' => NULL, 'refs' => [ 'ResourcePendingMaintenanceActions$PendingMaintenanceActionDetails' => 'A list that provides details about the pending maintenance actions for the resource.
', ], ], 'PendingMaintenanceActions' => [ 'base' => NULL, 'refs' => [ 'PendingMaintenanceActionsMessage$PendingMaintenanceActions' => 'A list of the pending maintenance actions for the resource.
', ], ], 'PendingMaintenanceActionsMessage' => [ 'base' => 'Data returned from the DescribePendingMaintenanceActions action.
', 'refs' => [], ], 'PendingModifiedValues' => [ 'base' => 'This data type is used as a response element in the ModifyDBInstance operation and contains changes that will be applied during the next maintenance window.
Information about pending changes to the DB instance. This information is returned only when there are pending changes. Specific changes are identified by subelements.
', ], ], 'PerformanceInsightsMetricDimensionGroup' => [ 'base' => 'A logical grouping of Performance Insights metrics for a related subject area. For example, the db.sql dimension group consists of the following dimensions:
db.sql.id - The hash of a running SQL statement, generated by Performance Insights.
db.sql.db_id - Either the SQL ID generated by the database engine, or a value generated by Performance Insights that begins with pi-.
db.sql.statement - The full text of the SQL statement that is running, for example, SELECT * FROM employees.
db.sql_tokenized.id - The hash of the SQL digest generated by Performance Insights.
Each response element returns a maximum of 500 bytes. For larger elements, such as SQL statements, only the first 500 bytes are returned.
A specification for how to aggregate the data points from a query result. You must specify a valid dimension group. Performance Insights will return all of the dimensions within that group, unless you provide the names of specific dimensions within that group. You can also request that Performance Insights return a limited number of values for a dimension.
', ], ], 'PerformanceInsightsMetricQuery' => [ 'base' => 'A single Performance Insights metric query to process. You must provide the metric to the query. If other parameters aren\'t specified, Performance Insights returns all data points for the specified metric. Optionally, you can request the data points to be aggregated by dimension group (GroupBy) and return only those data points that match your criteria (Filter).
Constraints:
Must be a valid Performance Insights query.
The Performance Insights query that you can use to retrieve Performance Insights metric data points.
', ], ], 'PerformanceIssueDetails' => [ 'base' => 'Details of the performance issue.
', 'refs' => [ 'IssueDetails$PerformanceIssueDetails' => 'A detailed description of the issue when the recommendation category is performance.
SourceDBInstanceIdentifier refers to a DB instance with BackupRetentionPeriod equal to 0.
Contains the processor features of a DB instance class.
To specify the number of CPU cores, use the coreCount feature name for the Name parameter. To specify the number of threads per core, use the threadsPerCore feature name for the Name parameter.
You can set the processor features of the DB instance class for a DB instance when you call one of the following actions:
CreateDBInstance
ModifyDBInstance
RestoreDBInstanceFromDBSnapshot
RestoreDBInstanceFromS3
RestoreDBInstanceToPointInTime
You can view the valid processor values for a particular instance class by calling the DescribeOrderableDBInstanceOptions action and specifying the instance class for the DBInstanceClass parameter.
In addition, you can use the following actions for DB instance class processor information:
DescribeDBInstances
DescribeDBSnapshots
DescribeValidDBInstanceModifications
If you call DescribeDBInstances, ProcessorFeature returns non-null values only if the following conditions are met:
You are accessing an Oracle DB instance.
Your Oracle DB instance class supports configuring the number of CPU cores and threads per core.
The current number CPU cores and threads is set to a non-default value.
For more information, see Configuring the processor for a DB instance class in RDS for Oracle in the Amazon RDS User Guide.
', 'refs' => [ 'ProcessorFeatureList$member' => NULL, ], ], 'ProcessorFeatureList' => [ 'base' => NULL, 'refs' => [ 'CreateDBInstanceMessage$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance.
This setting doesn\'t apply to RDS Custom DB instances.
', 'DBInstance$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance.
', 'DBSnapshot$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance when the DB snapshot was created.
', 'ModifyDBInstanceMessage$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance.
This setting doesn\'t apply to RDS Custom DB instances.
', 'PendingModifiedValues$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance.
', 'RestoreDBInstanceFromDBSnapshotMessage$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceFromS3Message$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance.
', 'RestoreDBInstanceToPointInTimeMessage$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance.
This setting doesn\'t apply to RDS Custom.
', ], ], 'PromoteReadReplicaDBClusterMessage' => [ 'base' => '', 'refs' => [], ], 'PromoteReadReplicaDBClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'PromoteReadReplicaMessage' => [ 'base' => '', 'refs' => [], ], 'PromoteReadReplicaResult' => [ 'base' => NULL, 'refs' => [], ], 'ProvisionedIopsNotAvailableInAZFault' => [ 'base' => 'Provisioned IOPS not available in the specified Availability Zone.
', 'refs' => [], ], 'PurchaseReservedDBInstancesOfferingMessage' => [ 'base' => '', 'refs' => [], ], 'PurchaseReservedDBInstancesOfferingResult' => [ 'base' => NULL, 'refs' => [], ], 'Range' => [ 'base' => 'A range of integer values.
', 'refs' => [ 'RangeList$member' => NULL, ], ], 'RangeList' => [ 'base' => NULL, 'refs' => [ 'ValidStorageOptions$StorageSize' => 'The valid range of storage in gibibytes (GiB). For example, 100 to 16,384.
', 'ValidStorageOptions$ProvisionedIops' => 'The valid range of provisioned IOPS. For example, 1000-256,000.
', 'ValidStorageOptions$ProvisionedStorageThroughput' => 'The valid range of provisioned storage throughput. For example, 500-4,000 mebibytes per second (MiBps).
', ], ], 'RdsCustomClusterConfiguration' => [ 'base' => 'Reserved for future use.
', 'refs' => [ 'ClusterPendingModifiedValues$RdsCustomClusterConfiguration' => 'Reserved for future use.
', 'CreateDBClusterMessage$RdsCustomClusterConfiguration' => 'Reserved for future use.
', 'DBCluster$RdsCustomClusterConfiguration' => 'Reserved for future use.
', 'RestoreDBClusterFromSnapshotMessage$RdsCustomClusterConfiguration' => 'Reserved for future use.
', 'RestoreDBClusterToPointInTimeMessage$RdsCustomClusterConfiguration' => 'Reserved for future use.
', ], ], 'ReadReplicaDBClusterIdentifierList' => [ 'base' => NULL, 'refs' => [ 'DBInstance$ReadReplicaDBClusterIdentifiers' => 'The identifiers of Aurora DB clusters to which the RDS DB instance is replicated as a read replica. For example, when you create an Aurora read replica of an RDS for MySQL DB instance, the Aurora MySQL DB cluster for the Aurora read replica is shown. This output doesn\'t contain information about cross-Region Aurora read replicas.
Currently, each RDS DB instance can have only one Aurora read replica.
The identifiers of the read replicas associated with this DB instance.
', ], ], 'ReadReplicaIdentifierList' => [ 'base' => NULL, 'refs' => [ 'DBCluster$ReadReplicaIdentifiers' => 'Contains one or more identifiers of the read replicas associated with this DB cluster.
', ], ], 'ReadersArnList' => [ 'base' => NULL, 'refs' => [ 'GlobalClusterMember$Readers' => 'The Amazon Resource Name (ARN) for each read-only secondary cluster associated with the global cluster.
', ], ], 'RebootDBClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'RebootDBClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'RebootDBInstanceMessage' => [ 'base' => '', 'refs' => [], ], 'RebootDBInstanceResult' => [ 'base' => NULL, 'refs' => [], ], 'RebootDBShardGroupMessage' => [ 'base' => NULL, 'refs' => [], ], 'RecommendedAction' => [ 'base' => 'The recommended actions to apply to resolve the issues associated with your DB instances, DB clusters, and DB parameter groups.
', 'refs' => [ 'RecommendedActionList$member' => NULL, ], ], 'RecommendedActionList' => [ 'base' => NULL, 'refs' => [ 'DBRecommendation$RecommendedActions' => 'A list of recommended actions.
', ], ], 'RecommendedActionParameter' => [ 'base' => 'A single parameter to use with the RecommendedAction API operation to apply the action.
The parameters for the API operation.
', ], ], 'RecommendedActionUpdate' => [ 'base' => 'The recommended status to update for the specified recommendation action ID.
', 'refs' => [ 'RecommendedActionUpdateList$member' => NULL, ], ], 'RecommendedActionUpdateList' => [ 'base' => NULL, 'refs' => [ 'ModifyDBRecommendationMessage$RecommendedActionUpdates' => 'The list of recommended action status to update. You can update multiple recommended actions at one time.
', ], ], 'RecurringCharge' => [ 'base' => 'This data type is used as a response element in the DescribeReservedDBInstances and DescribeReservedDBInstancesOfferings actions.
The recurring price charged to run this reserved DB instance.
', 'ReservedDBInstancesOffering$RecurringCharges' => 'The recurring price charged to run this reserved DB instance.
', ], ], 'ReferenceDetails' => [ 'base' => 'The reference details of a metric.
', 'refs' => [ 'MetricReference$ReferenceDetails' => 'The details of a performance issue.
', ], ], 'RegisterDBProxyTargetsRequest' => [ 'base' => NULL, 'refs' => [], ], 'RegisterDBProxyTargetsResponse' => [ 'base' => NULL, 'refs' => [], ], 'RemoveFromGlobalClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'RemoveFromGlobalClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'RemoveRoleFromDBClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'RemoveRoleFromDBInstanceMessage' => [ 'base' => NULL, 'refs' => [], ], 'RemoveSourceIdentifierFromSubscriptionMessage' => [ 'base' => '', 'refs' => [], ], 'RemoveSourceIdentifierFromSubscriptionResult' => [ 'base' => NULL, 'refs' => [], ], 'RemoveTagsFromResourceMessage' => [ 'base' => '', 'refs' => [], ], 'ReplicaMode' => [ 'base' => NULL, 'refs' => [ 'CreateDBInstanceReadReplicaMessage$ReplicaMode' => 'The open mode of the replica database: mounted or read-only.
This parameter is only supported for Oracle DB instances.
Mounted DB replicas are included in Oracle Database Enterprise Edition. The main use case for mounted replicas is cross-Region disaster recovery. The primary database doesn\'t use Active Data Guard to transmit information to the mounted replica. Because it doesn\'t accept user connections, a mounted replica can\'t serve a read-only workload.
You can create a combination of mounted and read-only DB replicas for the same primary DB instance. For more information, see Working with Oracle Read Replicas for Amazon RDS in the Amazon RDS User Guide.
For RDS Custom, you must specify this parameter and set it to mounted. The value won\'t be set by default. After replica creation, you can manage the open mode manually.
The open mode of an Oracle read replica. The default is open-read-only. For more information, see Working with Oracle Read Replicas for Amazon RDS in the Amazon RDS User Guide.
This attribute is only supported in RDS for Oracle.
A value that sets the open mode of a replica database to either mounted or read-only.
Currently, this parameter is only supported for Oracle DB instances.
Mounted DB replicas are included in Oracle Enterprise Edition. The main use case for mounted replicas is cross-Region disaster recovery. The primary database doesn\'t use Active Data Guard to transmit information to the mounted replica. Because it doesn\'t accept user connections, a mounted replica can\'t serve a read-only workload. For more information, see Working with Oracle Read Replicas for Amazon RDS in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'RdsCustomClusterConfiguration$ReplicaMode' => 'Reserved for future use.
', ], ], 'ReservedDBInstance' => [ 'base' => 'This data type is used as a response element in the DescribeReservedDBInstances and PurchaseReservedDBInstancesOffering actions.
User already has a reservation with the given identifier.
', 'refs' => [], ], 'ReservedDBInstanceList' => [ 'base' => NULL, 'refs' => [ 'ReservedDBInstanceMessage$ReservedDBInstances' => 'A list of reserved DB instances.
', ], ], 'ReservedDBInstanceMessage' => [ 'base' => 'Contains the result of a successful invocation of the DescribeReservedDBInstances action.
The specified reserved DB Instance not found.
', 'refs' => [], ], 'ReservedDBInstanceQuotaExceededFault' => [ 'base' => 'Request would exceed the user\'s DB Instance quota.
', 'refs' => [], ], 'ReservedDBInstancesOffering' => [ 'base' => 'This data type is used as a response element in the DescribeReservedDBInstancesOfferings action.
A list of reserved DB instance offerings.
', ], ], 'ReservedDBInstancesOfferingMessage' => [ 'base' => 'Contains the result of a successful invocation of the DescribeReservedDBInstancesOfferings action.
Specified offering does not exist.
', 'refs' => [], ], 'ResetDBClusterParameterGroupMessage' => [ 'base' => '', 'refs' => [], ], 'ResetDBParameterGroupMessage' => [ 'base' => '', 'refs' => [], ], 'ResourceNotFoundFault' => [ 'base' => 'The specified resource ID was not found.
', 'refs' => [], ], 'ResourcePendingMaintenanceActions' => [ 'base' => 'Describes the pending maintenance actions for a resource.
', 'refs' => [ 'ApplyPendingMaintenanceActionResult$ResourcePendingMaintenanceActions' => NULL, 'PendingMaintenanceActions$member' => NULL, ], ], 'RestoreDBClusterFromS3Message' => [ 'base' => NULL, 'refs' => [], ], 'RestoreDBClusterFromS3Result' => [ 'base' => NULL, 'refs' => [], ], 'RestoreDBClusterFromSnapshotMessage' => [ 'base' => '', 'refs' => [], ], 'RestoreDBClusterFromSnapshotResult' => [ 'base' => NULL, 'refs' => [], ], 'RestoreDBClusterToPointInTimeMessage' => [ 'base' => '', 'refs' => [], ], 'RestoreDBClusterToPointInTimeResult' => [ 'base' => NULL, 'refs' => [], ], 'RestoreDBInstanceFromDBSnapshotMessage' => [ 'base' => '', 'refs' => [], ], 'RestoreDBInstanceFromDBSnapshotResult' => [ 'base' => NULL, 'refs' => [], ], 'RestoreDBInstanceFromS3Message' => [ 'base' => NULL, 'refs' => [], ], 'RestoreDBInstanceFromS3Result' => [ 'base' => NULL, 'refs' => [], ], 'RestoreDBInstanceToPointInTimeMessage' => [ 'base' => '', 'refs' => [], ], 'RestoreDBInstanceToPointInTimeResult' => [ 'base' => NULL, 'refs' => [], ], 'RestoreWindow' => [ 'base' => 'Earliest and latest time an instance can be restored to:
', 'refs' => [ 'DBClusterAutomatedBackup$RestoreWindow' => NULL, 'DBInstanceAutomatedBackup$RestoreWindow' => 'The earliest and latest time a DB instance can be restored to.
', ], ], 'RevokeDBSecurityGroupIngressMessage' => [ 'base' => '', 'refs' => [], ], 'RevokeDBSecurityGroupIngressResult' => [ 'base' => NULL, 'refs' => [], ], 'SNSInvalidTopicFault' => [ 'base' => 'SNS has responded that there is a problem with the SNS topic specified.
', 'refs' => [], ], 'SNSNoAuthorizationFault' => [ 'base' => 'You do not have permission to publish to the SNS topic ARN.
', 'refs' => [], ], 'SNSTopicArnNotFoundFault' => [ 'base' => 'The SNS topic ARN does not exist.
', 'refs' => [], ], 'ScalarReferenceDetails' => [ 'base' => 'The metric reference details when the reference is a scalar.
', 'refs' => [ 'ReferenceDetails$ScalarReferenceDetails' => 'The metric reference details when the reference is a scalar.
', ], ], 'ScalingConfiguration' => [ 'base' => 'Contains the scaling configuration of an Aurora Serverless v1 DB cluster.
For more information, see Using Amazon Aurora Serverless v1 in the Amazon Aurora User Guide.
', 'refs' => [ 'CreateDBClusterMessage$ScalingConfiguration' => 'For DB clusters in serverless DB engine mode, the scaling properties of the DB cluster.
Valid for Cluster Type: Aurora DB clusters only
', 'ModifyDBClusterMessage$ScalingConfiguration' => 'The scaling properties of the DB cluster. You can only modify scaling properties for DB clusters in serverless DB engine mode.
Valid for Cluster Type: Aurora DB clusters only
', 'RestoreDBClusterFromSnapshotMessage$ScalingConfiguration' => 'For DB clusters in serverless DB engine mode, the scaling properties of the DB cluster.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$ScalingConfiguration' => 'For DB clusters in serverless DB engine mode, the scaling properties of the DB cluster.
Valid for: Aurora DB clusters only
', ], ], 'ScalingConfigurationInfo' => [ 'base' => 'The scaling configuration for an Aurora DB cluster in serverless DB engine mode.
For more information, see Using Amazon Aurora Serverless v1 in the Amazon Aurora User Guide.
', 'refs' => [ 'DBCluster$ScalingConfigurationInfo' => NULL, ], ], 'SensitiveString' => [ 'base' => NULL, 'refs' => [ 'CreateTenantDatabaseMessage$MasterUserPassword' => 'The password for the master user in your tenant database.
Constraints:
Must be 8 to 30 characters.
Can include any printable ASCII character except forward slash (/), double quote ("), at symbol (@), ampersand (&), or single quote (\').
The new password for the master user of the specified tenant database in your DB instance.
Amazon RDS operations never return the password, so this action provides a way to regain access to a tenant database user if the password is lost. This includes restoring privileges that might have been accidentally revoked.
Constraints:
Can include any printable ASCII character except /, " (double quote), @, & (ampersand), and \' (single quote).
Length constraints:
Must contain between 8 and 30 characters.
The master password for the tenant database.
', ], ], 'ServerlessV2FeaturesSupport' => [ 'base' => 'Specifies any Aurora Serverless v2 properties or limits that differ between Aurora engine versions. You can test the values of this attribute when deciding which Aurora version to use in a new or upgraded DB cluster. You can also retrieve the version of an existing DB cluster and check whether that version supports certain Aurora Serverless v2 features before you attempt to use those features.
', 'refs' => [ 'DBEngineVersion$ServerlessV2FeaturesSupport' => 'Specifies any Aurora Serverless v2 properties or limits that differ between Aurora engine versions. You can test the values of this attribute when deciding which Aurora version to use in a new or upgraded DB cluster. You can also retrieve the version of an existing DB cluster and check whether that version supports certain Aurora Serverless v2 features before you attempt to use those features.
', ], ], 'ServerlessV2ScalingConfiguration' => [ 'base' => 'Contains the scaling configuration of an Aurora Serverless v2 DB cluster.
For more information, see Using Amazon Aurora Serverless v2 in the Amazon Aurora User Guide.
', 'refs' => [ 'CreateDBClusterMessage$ServerlessV2ScalingConfiguration' => NULL, 'ModifyDBClusterMessage$ServerlessV2ScalingConfiguration' => NULL, 'RestoreDBClusterFromS3Message$ServerlessV2ScalingConfiguration' => NULL, 'RestoreDBClusterFromSnapshotMessage$ServerlessV2ScalingConfiguration' => NULL, 'RestoreDBClusterToPointInTimeMessage$ServerlessV2ScalingConfiguration' => NULL, ], ], 'ServerlessV2ScalingConfigurationInfo' => [ 'base' => 'The scaling configuration for an Aurora Serverless v2 DB cluster.
For more information, see Using Amazon Aurora Serverless v2 in the Amazon Aurora User Guide.
', 'refs' => [ 'DBCluster$ServerlessV2ScalingConfiguration' => NULL, ], ], 'SharedSnapshotQuotaExceededFault' => [ 'base' => 'You have exceeded the maximum number of accounts that you can share a manual DB snapshot with.
', 'refs' => [], ], 'SnapshotQuotaExceededFault' => [ 'base' => 'The request would result in the user exceeding the allowed number of DB snapshots.
', 'refs' => [], ], 'SourceArn' => [ 'base' => NULL, 'refs' => [ 'CreateIntegrationMessage$SourceArn' => 'The Amazon Resource Name (ARN) of the database to use as the source for replication.
', 'Integration$SourceArn' => 'The Amazon Resource Name (ARN) of the database used as the source for replication.
', ], ], 'SourceClusterNotSupportedFault' => [ 'base' => 'The source DB cluster isn\'t supported for a blue/green deployment.
', 'refs' => [], ], 'SourceDatabaseNotSupportedFault' => [ 'base' => 'The source DB instance isn\'t supported for a blue/green deployment.
', 'refs' => [], ], 'SourceIdsList' => [ 'base' => NULL, 'refs' => [ 'CreateEventSubscriptionMessage$SourceIds' => 'The list of identifiers of the event sources for which events are returned. If not specified, then all sources are included in the response. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens. It can\'t end with a hyphen or contain two consecutive hyphens.
Constraints:
If SourceIds are supplied, SourceType must also be provided.
If the source type is a DB instance, a DBInstanceIdentifier value must be supplied.
If the source type is a DB cluster, a DBClusterIdentifier value must be supplied.
If the source type is a DB parameter group, a DBParameterGroupName value must be supplied.
If the source type is a DB security group, a DBSecurityGroupName value must be supplied.
If the source type is a DB snapshot, a DBSnapshotIdentifier value must be supplied.
If the source type is a DB cluster snapshot, a DBClusterSnapshotIdentifier value must be supplied.
If the source type is an RDS Proxy, a DBProxyName value must be supplied.
A list of source IDs for the RDS event notification subscription.
', ], ], 'SourceNotFoundFault' => [ 'base' => 'The requested source could not be found.
', 'refs' => [], ], 'SourceRegion' => [ 'base' => 'Contains an Amazon Web Services Region name as the result of a successful call to the DescribeSourceRegions action.
A list of SourceRegion instances that contains each source Amazon Web Services Region that the current Amazon Web Services Region can get a read replica or a DB snapshot from.
Contains the result of a successful invocation of the DescribeSourceRegions action.
The event source to retrieve events for. If no value is specified, all events are returned.
', 'Event$SourceType' => 'Specifies the source type for this event.
', ], ], 'StartActivityStreamRequest' => [ 'base' => NULL, 'refs' => [], ], 'StartActivityStreamResponse' => [ 'base' => NULL, 'refs' => [], ], 'StartDBClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'StartDBClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'StartDBInstanceAutomatedBackupsReplicationMessage' => [ 'base' => NULL, 'refs' => [], ], 'StartDBInstanceAutomatedBackupsReplicationResult' => [ 'base' => NULL, 'refs' => [], ], 'StartDBInstanceMessage' => [ 'base' => NULL, 'refs' => [], ], 'StartDBInstanceResult' => [ 'base' => NULL, 'refs' => [], ], 'StartExportTaskMessage' => [ 'base' => NULL, 'refs' => [], ], 'StopActivityStreamRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopActivityStreamResponse' => [ 'base' => NULL, 'refs' => [], ], 'StopDBClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'StopDBClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'StopDBInstanceAutomatedBackupsReplicationMessage' => [ 'base' => NULL, 'refs' => [], ], 'StopDBInstanceAutomatedBackupsReplicationResult' => [ 'base' => NULL, 'refs' => [], ], 'StopDBInstanceMessage' => [ 'base' => NULL, 'refs' => [], ], 'StopDBInstanceResult' => [ 'base' => NULL, 'refs' => [], ], 'StorageQuotaExceededFault' => [ 'base' => 'The request would result in the user exceeding the allowed amount of storage available across all DB instances.
', 'refs' => [], ], 'StorageTypeNotAvailableFault' => [ 'base' => 'The aurora-iopt1 storage type isn\'t available, because you modified the DB cluster to use this storage type less than one month ago.
The specified StorageType can\'t be associated with the DB instance.
The name of the Amazon RDS quota for this Amazon Web Services account.
', 'ActivityStreamModeList$member' => NULL, 'AddRoleToDBClusterMessage$DBClusterIdentifier' => 'The name of the DB cluster to associate the IAM role with.
', 'AddRoleToDBClusterMessage$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role to associate with the Aurora DB cluster, for example arn:aws:iam::123456789012:role/AuroraAccessRole.
The name of the feature for the DB cluster that the IAM role is to be associated with. For information about supported feature names, see DBEngineVersion.
', 'AddRoleToDBInstanceMessage$DBInstanceIdentifier' => 'The name of the DB instance to associate the IAM role with.
', 'AddRoleToDBInstanceMessage$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role to associate with the DB instance, for example arn:aws:iam::123456789012:role/AccessRole.
The name of the feature for the DB instance that the IAM role is to be associated with. For information about supported feature names, see DBEngineVersion.
', 'AddSourceIdentifierToSubscriptionMessage$SubscriptionName' => 'The name of the RDS event notification subscription you want to add a source identifier to.
', 'AddSourceIdentifierToSubscriptionMessage$SourceIdentifier' => 'The identifier of the event source to be added.
Constraints:
If the source type is a DB instance, a DBInstanceIdentifier value must be supplied.
If the source type is a DB cluster, a DBClusterIdentifier value must be supplied.
If the source type is a DB parameter group, a DBParameterGroupName value must be supplied.
If the source type is a DB security group, a DBSecurityGroupName value must be supplied.
If the source type is a DB snapshot, a DBSnapshotIdentifier value must be supplied.
If the source type is a DB cluster snapshot, a DBClusterSnapshotIdentifier value must be supplied.
If the source type is an RDS Proxy, a DBProxyName value must be supplied.
The Amazon RDS resource that the tags are added to. This value is an Amazon Resource Name (ARN). For information about creating an ARN, see Constructing an RDS Amazon Resource Name (ARN).
', 'ApplyPendingMaintenanceActionMessage$ResourceIdentifier' => 'The RDS Amazon Resource Name (ARN) of the resource that the pending maintenance action applies to. For information about creating an ARN, see Constructing an RDS Amazon Resource Name (ARN).
', 'ApplyPendingMaintenanceActionMessage$ApplyAction' => 'The pending maintenance action to apply to this resource.
Valid Values:
ca-certificate-rotation
db-upgrade
hardware-maintenance
os-upgrade
system-update
For more information about these actions, see Maintenance actions for Amazon Aurora or Maintenance actions for Amazon RDS.
', 'ApplyPendingMaintenanceActionMessage$OptInType' => 'A value that specifies the type of opt-in request, or undoes an opt-in request. An opt-in request of type immediate can\'t be undone.
Valid Values:
immediate - Apply the maintenance action immediately.
next-maintenance - Apply the maintenance action during the next maintenance window for the resource.
undo-opt-in - Cancel any existing next-maintenance opt-in requests.
The name of the DB security group to add authorization to.
', 'AuthorizeDBSecurityGroupIngressMessage$CIDRIP' => 'The IP range to authorize.
', 'AuthorizeDBSecurityGroupIngressMessage$EC2SecurityGroupName' => 'Name of the EC2 security group to authorize. For VPC DB security groups, EC2SecurityGroupId must be provided. Otherwise, EC2SecurityGroupOwnerId and either EC2SecurityGroupName or EC2SecurityGroupId must be provided.
Id of the EC2 security group to authorize. For VPC DB security groups, EC2SecurityGroupId must be provided. Otherwise, EC2SecurityGroupOwnerId and either EC2SecurityGroupName or EC2SecurityGroupId must be provided.
Amazon Web Services account number of the owner of the EC2 security group specified in the EC2SecurityGroupName parameter. The Amazon Web Services access key ID isn\'t an acceptable value. For VPC DB security groups, EC2SecurityGroupId must be provided. Otherwise, EC2SecurityGroupOwnerId and either EC2SecurityGroupName or EC2SecurityGroupId must be provided.
The name of the Availability Zone.
', 'AvailabilityZones$member' => NULL, 'AvailableProcessorFeature$Name' => 'The name of the processor feature. Valid names are coreCount and threadsPerCore.
The default value for the processor feature of the DB instance class.
', 'AvailableProcessorFeature$AllowedValues' => 'The allowed values for the processor feature of the DB instance class.
', 'BacktrackDBClusterMessage$DBClusterIdentifier' => 'The DB cluster identifier of the DB cluster to be backtracked. This parameter is stored as a lowercase string.
Constraints:
Must contain from 1 to 63 alphanumeric characters or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-cluster1
The identifier of the snapshot or cluster export task to cancel.
', 'Certificate$CertificateIdentifier' => 'The unique key that identifies a certificate.
', 'Certificate$CertificateType' => 'The type of the certificate.
', 'Certificate$Thumbprint' => 'The thumbprint of the certificate.
', 'Certificate$CertificateArn' => 'The Amazon Resource Name (ARN) for the certificate.
', 'CertificateDetails$CAIdentifier' => 'The CA identifier of the CA certificate used for the DB instance\'s server certificate.
', 'CertificateMessage$DefaultCertificateForNewLaunches' => 'The default root CA for new databases created by your Amazon Web Services account. This is either the root CA override set on your Amazon Web Services account or the system default CA for the Region if no override exists. To override the default CA, use the ModifyCertificates operation.
An optional pagination token provided by a previous DescribeCertificates request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords .
The name of the character set.
', 'CharacterSet$CharacterSetDescription' => 'The description of the character set.
', 'ClusterPendingModifiedValues$DBClusterIdentifier' => 'The DBClusterIdentifier value for the DB cluster.
', 'ClusterPendingModifiedValues$MasterUserPassword' => 'The master credentials for the DB cluster.
', 'ClusterPendingModifiedValues$EngineVersion' => 'The database engine version.
', 'ClusterPendingModifiedValues$StorageType' => 'The storage type for the DB cluster.
', 'ConnectionPoolConfiguration$InitQuery' => 'One or more SQL statements for the proxy to run when opening each new database connection. Typically used with SET statements to make sure that each connection has identical settings such as time zone and character set. For multiple statements, use semicolons as the separator. You can also include multiple variables in a single SET statement, such as SET x=1, y=2.
Default: no initialization query
', 'ConnectionPoolConfigurationInfo$InitQuery' => 'One or more SQL statements for the proxy to run when opening each new database connection. Typically used with SET statements to make sure that each connection has identical settings such as time zone and character set. This setting is empty by default. For multiple statements, use semicolons as the separator. You can also include multiple variables in a single SET statement, such as SET x=1, y=2.
The key of ContextAttribute.
The value of ContextAttribute.
The identifier or Amazon Resource Name (ARN) for the source DB cluster parameter group. For information about creating an ARN, see Constructing an ARN for Amazon RDS in the Amazon Aurora User Guide.
Constraints:
Must specify a valid DB cluster parameter group.
The identifier for the copied DB cluster parameter group.
Constraints:
Can\'t be null, empty, or blank
Must contain from 1 to 255 letters, numbers, or hyphens
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Example: my-cluster-param-group1
A description for the copied DB cluster parameter group.
', 'CopyDBClusterSnapshotMessage$SourceDBClusterSnapshotIdentifier' => 'The identifier of the DB cluster snapshot to copy. This parameter isn\'t case-sensitive.
You can\'t copy an encrypted, shared DB cluster snapshot from one Amazon Web Services Region to another.
Constraints:
Must specify a valid system snapshot in the "available" state.
If the source snapshot is in the same Amazon Web Services Region as the copy, specify a valid DB snapshot identifier.
If the source snapshot is in a different Amazon Web Services Region than the copy, specify a valid DB cluster snapshot ARN. For more information, go to Copying Snapshots Across Amazon Web Services Regions in the Amazon Aurora User Guide.
Example: my-cluster-snapshot1
The identifier of the new DB cluster snapshot to create from the source DB cluster snapshot. This parameter isn\'t case-sensitive.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-cluster-snapshot2
The Amazon Web Services KMS key identifier for an encrypted DB cluster snapshot. The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the Amazon Web Services KMS key.
If you copy an encrypted DB cluster snapshot from your Amazon Web Services account, you can specify a value for KmsKeyId to encrypt the copy with a new KMS key. If you don\'t specify a value for KmsKeyId, then the copy of the DB cluster snapshot is encrypted with the same KMS key as the source DB cluster snapshot.
If you copy an encrypted DB cluster snapshot that is shared from another Amazon Web Services account, then you must specify a value for KmsKeyId.
To copy an encrypted DB cluster snapshot to another Amazon Web Services Region, you must set KmsKeyId to the Amazon Web Services KMS key identifier you want to use to encrypt the copy of the DB cluster snapshot in the destination Amazon Web Services Region. KMS keys are specific to the Amazon Web Services Region that they are created in, and you can\'t use KMS keys from one Amazon Web Services Region in another Amazon Web Services Region.
If you copy an unencrypted DB cluster snapshot and specify a value for the KmsKeyId parameter, an error is returned.
When you are copying a DB cluster snapshot from one Amazon Web Services GovCloud (US) Region to another, the URL that contains a Signature Version 4 signed request for the CopyDBClusterSnapshot API operation in the Amazon Web Services Region that contains the source DB cluster snapshot to copy. Use the PreSignedUrl parameter when copying an encrypted DB cluster snapshot from another Amazon Web Services Region. Don\'t specify PreSignedUrl when copying an encrypted DB cluster snapshot in the same Amazon Web Services Region.
This setting applies only to Amazon Web Services GovCloud (US) Regions. It\'s ignored in other Amazon Web Services Regions.
The presigned URL must be a valid request for the CopyDBClusterSnapshot API operation that can run in the source Amazon Web Services Region that contains the encrypted DB cluster snapshot to copy. The presigned URL request must contain the following parameter values:
KmsKeyId - The KMS key identifier for the KMS key to use to encrypt the copy of the DB cluster snapshot in the destination Amazon Web Services Region. This is the same identifier for both the CopyDBClusterSnapshot operation that is called in the destination Amazon Web Services Region, and the operation contained in the presigned URL.
DestinationRegion - The name of the Amazon Web Services Region that the DB cluster snapshot is to be created in.
SourceDBClusterSnapshotIdentifier - The DB cluster snapshot identifier for the encrypted DB cluster snapshot to be copied. This identifier must be in the Amazon Resource Name (ARN) format for the source Amazon Web Services Region. For example, if you are copying an encrypted DB cluster snapshot from the us-west-2 Amazon Web Services Region, then your SourceDBClusterSnapshotIdentifier looks like the following example: arn:aws:rds:us-west-2:123456789012:cluster-snapshot:aurora-cluster1-snapshot-20161115.
To learn how to generate a Signature Version 4 signed request, see Authenticating Requests: Using Query Parameters (Amazon Web Services Signature Version 4) and Signature Version 4 Signing Process.
If you are using an Amazon Web Services SDK tool or the CLI, you can specify SourceRegion (or --source-region for the CLI) instead of specifying PreSignedUrl manually. Specifying SourceRegion autogenerates a presigned URL that is a valid request for the operation that can run in the source Amazon Web Services Region.
The identifier or ARN for the source DB parameter group. For information about creating an ARN, see Constructing an ARN for Amazon RDS in the Amazon RDS User Guide.
Constraints:
Must specify a valid DB parameter group.
The identifier for the copied DB parameter group.
Constraints:
Can\'t be null, empty, or blank
Must contain from 1 to 255 letters, numbers, or hyphens
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Example: my-db-parameter-group
A description for the copied DB parameter group.
', 'CopyDBSnapshotMessage$SourceDBSnapshotIdentifier' => 'The identifier for the source DB snapshot.
If the source snapshot is in the same Amazon Web Services Region as the copy, specify a valid DB snapshot identifier. For example, you might specify rds:mysql-instance1-snapshot-20130805.
If the source snapshot is in a different Amazon Web Services Region than the copy, specify a valid DB snapshot ARN. For example, you might specify arn:aws:rds:us-west-2:123456789012:snapshot:mysql-instance1-snapshot-20130805.
If you are copying from a shared manual DB snapshot, this parameter must be the Amazon Resource Name (ARN) of the shared DB snapshot.
If you are copying an encrypted snapshot this parameter must be in the ARN format for the source Amazon Web Services Region.
Constraints:
Must specify a valid system snapshot in the "available" state.
Example: rds:mydb-2012-04-02-00-01
Example: arn:aws:rds:us-west-2:123456789012:snapshot:mysql-instance1-snapshot-20130805
The identifier for the copy of the snapshot.
Constraints:
Can\'t be null, empty, or blank
Must contain from 1 to 255 letters, numbers, or hyphens
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Example: my-db-snapshot
The Amazon Web Services KMS key identifier for an encrypted DB snapshot. The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you copy an encrypted DB snapshot from your Amazon Web Services account, you can specify a value for this parameter to encrypt the copy with a new KMS key. If you don\'t specify a value for this parameter, then the copy of the DB snapshot is encrypted with the same Amazon Web Services KMS key as the source DB snapshot.
If you copy an encrypted DB snapshot that is shared from another Amazon Web Services account, then you must specify a value for this parameter.
If you specify this parameter when you copy an unencrypted snapshot, the copy is encrypted.
If you copy an encrypted snapshot to a different Amazon Web Services Region, then you must specify an Amazon Web Services KMS key identifier for the destination Amazon Web Services Region. KMS keys are specific to the Amazon Web Services Region that they are created in, and you can\'t use KMS keys from one Amazon Web Services Region in another Amazon Web Services Region.
', 'CopyDBSnapshotMessage$PreSignedUrl' => 'When you are copying a snapshot from one Amazon Web Services GovCloud (US) Region to another, the URL that contains a Signature Version 4 signed request for the CopyDBSnapshot API operation in the source Amazon Web Services Region that contains the source DB snapshot to copy.
This setting applies only to Amazon Web Services GovCloud (US) Regions. It\'s ignored in other Amazon Web Services Regions.
You must specify this parameter when you copy an encrypted DB snapshot from another Amazon Web Services Region by using the Amazon RDS API. Don\'t specify PreSignedUrl when you are copying an encrypted DB snapshot in the same Amazon Web Services Region.
The presigned URL must be a valid request for the CopyDBClusterSnapshot API operation that can run in the source Amazon Web Services Region that contains the encrypted DB cluster snapshot to copy. The presigned URL request must contain the following parameter values:
DestinationRegion - The Amazon Web Services Region that the encrypted DB snapshot is copied to. This Amazon Web Services Region is the same one where the CopyDBSnapshot operation is called that contains this presigned URL.
For example, if you copy an encrypted DB snapshot from the us-west-2 Amazon Web Services Region to the us-east-1 Amazon Web Services Region, then you call the CopyDBSnapshot operation in the us-east-1 Amazon Web Services Region and provide a presigned URL that contains a call to the CopyDBSnapshot operation in the us-west-2 Amazon Web Services Region. For this example, the DestinationRegion in the presigned URL must be set to the us-east-1 Amazon Web Services Region.
KmsKeyId - The KMS key identifier for the KMS key to use to encrypt the copy of the DB snapshot in the destination Amazon Web Services Region. This is the same identifier for both the CopyDBSnapshot operation that is called in the destination Amazon Web Services Region, and the operation contained in the presigned URL.
SourceDBSnapshotIdentifier - The DB snapshot identifier for the encrypted snapshot to be copied. This identifier must be in the Amazon Resource Name (ARN) format for the source Amazon Web Services Region. For example, if you are copying an encrypted DB snapshot from the us-west-2 Amazon Web Services Region, then your SourceDBSnapshotIdentifier looks like the following example: arn:aws:rds:us-west-2:123456789012:snapshot:mysql-instance1-snapshot-20161115.
To learn how to generate a Signature Version 4 signed request, see Authenticating Requests: Using Query Parameters (Amazon Web Services Signature Version 4) and Signature Version 4 Signing Process.
If you are using an Amazon Web Services SDK tool or the CLI, you can specify SourceRegion (or --source-region for the CLI) instead of specifying PreSignedUrl manually. Specifying SourceRegion autogenerates a presigned URL that is a valid request for the operation that can run in the source Amazon Web Services Region.
The name of an option group to associate with the copy of the snapshot.
Specify this option if you are copying a snapshot from one Amazon Web Services Region to another, and your DB instance uses a nondefault option group. If your source DB instance uses Transparent Data Encryption for Oracle or Microsoft SQL Server, you must specify this option when copying across Amazon Web Services Regions. For more information, see Option group considerations in the Amazon RDS User Guide.
', 'CopyDBSnapshotMessage$TargetCustomAvailabilityZone' => 'The external custom Availability Zone (CAZ) identifier for the target CAZ.
Example: rds-caz-aiqhTgQv.
The identifier for the source option group.
Constraints:
Must specify a valid option group.
The identifier for the copied option group.
Constraints:
Can\'t be null, empty, or blank
Must contain from 1 to 255 letters, numbers, or hyphens
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Example: my-option-group
The description for the copied option group.
', 'CreateDBClusterEndpointMessage$DBClusterIdentifier' => 'The DB cluster identifier of the DB cluster associated with the endpoint. This parameter is stored as a lowercase string.
', 'CreateDBClusterEndpointMessage$DBClusterEndpointIdentifier' => 'The identifier to use for the new endpoint. This parameter is stored as a lowercase string.
', 'CreateDBClusterEndpointMessage$EndpointType' => 'The type of the endpoint, one of: READER, WRITER, ANY.
The name of the character set (CharacterSet) to associate the DB cluster with.
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBClusterMessage$DatabaseName' => 'The name for your database of up to 64 alphanumeric characters. A database named postgres is always created. If this parameter is specified, an additional database with this name is created.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$DBClusterIdentifier' => 'The identifier for this DB cluster. This parameter is stored as a lowercase string.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Must contain from 1 to 63 (for Aurora DB clusters) or 1 to 52 (for Multi-AZ DB clusters) letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-cluster1
The name of the DB cluster parameter group to associate with this DB cluster. If you don\'t specify a value, then the default DB cluster parameter group for the specified DB engine and version is used.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
If supplied, must match the name of an existing DB cluster parameter group.
A DB subnet group to associate with this DB cluster.
This setting is required to create a Multi-AZ DB cluster.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Must match the name of an existing DB subnet group.
Example: mydbsubnetgroup
The database engine to use for this DB cluster.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values:
aurora-mysql
aurora-postgresql
mysql
postgres
neptune - For information about using Amazon Neptune, see the Amazon Neptune User Guide .
The version number of the database engine to use.
To list all of the available engine versions for Aurora MySQL version 2 (5.7-compatible) and version 3 (MySQL 8.0-compatible), use the following command:
aws rds describe-db-engine-versions --engine aurora-mysql --query "DBEngineVersions[].EngineVersion"
You can supply either 5.7 or 8.0 to use the default engine version for Aurora MySQL version 2 or version 3, respectively.
To list all of the available engine versions for Aurora PostgreSQL, use the following command:
aws rds describe-db-engine-versions --engine aurora-postgresql --query "DBEngineVersions[].EngineVersion"
To list all of the available engine versions for RDS for MySQL, use the following command:
aws rds describe-db-engine-versions --engine mysql --query "DBEngineVersions[].EngineVersion"
To list all of the available engine versions for RDS for PostgreSQL, use the following command:
aws rds describe-db-engine-versions --engine postgres --query "DBEngineVersions[].EngineVersion"
For information about a specific engine, see the following topics:
Aurora MySQL - see Database engine updates for Amazon Aurora MySQL in the Amazon Aurora User Guide.
Aurora PostgreSQL - see Amazon Aurora PostgreSQL releases and engine versions in the Amazon Aurora User Guide.
RDS for MySQL - see Amazon RDS for MySQL in the Amazon RDS User Guide.
RDS for PostgreSQL - see Amazon RDS for PostgreSQL in the Amazon RDS User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$MasterUsername' => 'The name of the master user for the DB cluster.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Must be 1 to 16 letters or numbers.
First character must be a letter.
Can\'t be a reserved word for the chosen database engine.
The password for the master database user.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Must contain from 8 to 41 characters.
Can contain any printable ASCII character except "/", """, or "@".
Can\'t be specified if ManageMasterUserPassword is turned on.
The option group to associate the DB cluster with.
DB clusters are associated with a default option group that can\'t be modified.
', 'CreateDBClusterMessage$PreferredBackupWindow' => 'The daily time range during which automated backups are created if automated backups are enabled using the BackupRetentionPeriod parameter.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region. To view the time blocks available, see Backup window in the Amazon Aurora User Guide.
Constraints:
Must be in the format hh24:mi-hh24:mi.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred maintenance window.
Must be at least 30 minutes.
The weekly time range during which system maintenance can occur.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region, occurring on a random day of the week. To see the time blocks available, see Adjusting the Preferred DB Cluster Maintenance Window in the Amazon Aurora User Guide.
Constraints:
Must be in the format ddd:hh24:mi-ddd:hh24:mi.
Days must be one of Mon | Tue | Wed | Thu | Fri | Sat | Sun.
Must be in Universal Coordinated Time (UTC).
Must be at least 30 minutes.
The Amazon Resource Name (ARN) of the source DB instance or DB cluster if this DB cluster is created as a read replica.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$KmsKeyId' => 'The Amazon Web Services KMS key identifier for an encrypted DB cluster.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
When a KMS key isn\'t specified in KmsKeyId:
If ReplicationSourceIdentifier identifies an encrypted source, then Amazon RDS uses the KMS key used to encrypt the source. Otherwise, Amazon RDS uses your default KMS key.
If the StorageEncrypted parameter is enabled and ReplicationSourceIdentifier isn\'t specified, then Amazon RDS uses your default KMS key.
There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
If you create a read replica of an encrypted DB cluster in another Amazon Web Services Region, make sure to set KmsKeyId to a KMS key identifier that is valid in the destination Amazon Web Services Region. This KMS key is used to encrypt the read replica in that Amazon Web Services Region.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$PreSignedUrl' => 'When you are replicating a DB cluster from one Amazon Web Services GovCloud (US) Region to another, an URL that contains a Signature Version 4 signed request for the CreateDBCluster operation to be called in the source Amazon Web Services Region where the DB cluster is replicated from. Specify PreSignedUrl only when you are performing cross-Region replication from an encrypted DB cluster.
The presigned URL must be a valid request for the CreateDBCluster API operation that can run in the source Amazon Web Services Region that contains the encrypted DB cluster to copy.
The presigned URL request must contain the following parameter values:
KmsKeyId - The KMS key identifier for the KMS key to use to encrypt the copy of the DB cluster in the destination Amazon Web Services Region. This should refer to the same KMS key for both the CreateDBCluster operation that is called in the destination Amazon Web Services Region, and the operation contained in the presigned URL.
DestinationRegion - The name of the Amazon Web Services Region that Aurora read replica will be created in.
ReplicationSourceIdentifier - The DB cluster identifier for the encrypted DB cluster to be copied. This identifier must be in the Amazon Resource Name (ARN) format for the source Amazon Web Services Region. For example, if you are copying an encrypted DB cluster from the us-west-2 Amazon Web Services Region, then your ReplicationSourceIdentifier would look like Example: arn:aws:rds:us-west-2:123456789012:cluster:aurora-cluster1.
To learn how to generate a Signature Version 4 signed request, see Authenticating Requests: Using Query Parameters (Amazon Web Services Signature Version 4) and Signature Version 4 Signing Process.
If you are using an Amazon Web Services SDK tool or the CLI, you can specify SourceRegion (or --source-region for the CLI) instead of specifying PreSignedUrl manually. Specifying SourceRegion autogenerates a presigned URL that is a valid request for the operation that can run in the source Amazon Web Services Region.
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBClusterMessage$EngineMode' => 'The DB engine mode of the DB cluster, either provisioned or serverless.
The serverless engine mode only applies for Aurora Serverless v1 DB clusters. Aurora Serverless v2 DB clusters use the provisioned engine mode.
For information about limitations and requirements for Serverless DB clusters, see the following sections in the Amazon Aurora User Guide:
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBClusterMessage$GlobalClusterIdentifier' => 'The global cluster ID of an Aurora cluster that becomes the primary cluster in the new global database cluster.
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBClusterMessage$Domain' => 'The Active Directory directory ID to create the DB cluster in.
For Amazon Aurora DB clusters, Amazon RDS can use Kerberos authentication to authenticate users that connect to the DB cluster.
For more information, see Kerberos authentication in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBClusterMessage$DomainIAMRoleName' => 'The name of the IAM role to use when making API calls to the Directory Service.
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBClusterMessage$DBClusterInstanceClass' => 'The compute and memory capacity of each DB instance in the Multi-AZ DB cluster, for example db.m6gd.xlarge. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines.
For the full list of DB instance classes and availability for your engine, see DB instance class in the Amazon RDS User Guide.
This setting is required to create a Multi-AZ DB cluster.
Valid for Cluster Type: Multi-AZ DB clusters only
', 'CreateDBClusterMessage$StorageType' => 'The storage type to associate with the DB cluster.
For information on storage types for Aurora DB clusters, see Storage configurations for Amazon Aurora DB clusters. For information on storage types for Multi-AZ DB clusters, see Settings for creating Multi-AZ DB clusters.
This setting is required to create a Multi-AZ DB cluster.
When specified for a Multi-AZ DB cluster, a value for the Iops parameter is required.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values:
Aurora DB clusters - aurora | aurora-iopt1
Multi-AZ DB clusters - io1 | io2 | gp3
Default:
Aurora DB clusters - aurora
Multi-AZ DB clusters - io1
When you create an Aurora DB cluster with the storage type set to aurora-iopt1, the storage type is returned in the response. The storage type isn\'t returned when you set it to aurora.
The Amazon Resource Name (ARN) for the IAM role that permits RDS to send Enhanced Monitoring metrics to Amazon CloudWatch Logs. An example is arn:aws:iam:123456789012:role/emaccess. For information on creating a monitoring role, see Setting up and enabling Enhanced Monitoring in the Amazon RDS User Guide.
If MonitoringInterval is set to a value other than 0, supply a MonitoringRoleArn value.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$PerformanceInsightsKMSKeyId' => 'The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you don\'t specify a value for PerformanceInsightsKMSKeyId, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$NetworkType' => 'The network type of the DB cluster.
The network type is determined by the DBSubnetGroup specified for the DB cluster. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters only
Valid Values: IPV4 | DUAL
Reserved for future use.
', 'CreateDBClusterMessage$MasterUserSecretKmsKeyId' => 'The Amazon Web Services KMS key identifier to encrypt a secret that is automatically generated and managed in Amazon Web Services Secrets Manager.
This setting is valid only if the master user password is managed by RDS in Amazon Web Services Secrets Manager for the DB cluster.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
If you don\'t specify MasterUserSecretKmsKeyId, then the aws/secretsmanager KMS key is used to encrypt the secret. If the secret is in a different Amazon Web Services account, then you can\'t use the aws/secretsmanager KMS key to encrypt the secret, and you must use a customer managed KMS key.
There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$CACertificateIdentifier' => 'The CA certificate identifier to use for the DB cluster\'s server certificate.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide.
Valid for Cluster Type: Multi-AZ DB clusters
', 'CreateDBClusterMessage$EngineLifecycleSupport' => 'The life cycle type for this DB cluster.
By default, this value is set to open-source-rds-extended-support, which enrolls your DB cluster into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, creating the DB cluster will fail if the DB major version is past its end of standard support date.
You can use this setting to enroll your DB cluster into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your DB cluster past the end of standard support for that engine version. For more information, see the following sections:
Amazon Aurora - Using Amazon RDS Extended Support in the Amazon Aurora User Guide
Amazon RDS - Using Amazon RDS Extended Support in the Amazon RDS User Guide
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The name of the DB cluster parameter group.
Constraints:
Must not match the name of an existing DB cluster parameter group.
This value is stored as a lowercase string.
The DB cluster parameter group family name. A DB cluster parameter group can be associated with one and only one DB cluster parameter group family, and can be applied only to a DB cluster running a database engine and engine version compatible with that DB cluster parameter group family.
Aurora MySQL
Example: aurora-mysql5.7, aurora-mysql8.0
Aurora PostgreSQL
Example: aurora-postgresql14
RDS for MySQL
Example: mysql8.0
RDS for PostgreSQL
Example: postgres13
To list all of the available parameter group families for a DB engine, use the following command:
aws rds describe-db-engine-versions --query "DBEngineVersions[].DBParameterGroupFamily" --engine <engine>
For example, to list all of the available parameter group families for the Aurora PostgreSQL DB engine, use the following command:
aws rds describe-db-engine-versions --query "DBEngineVersions[].DBParameterGroupFamily" --engine aurora-postgresql
The output contains duplicates.
The following are the valid DB engine values:
aurora-mysql
aurora-postgresql
mysql
postgres
The description for the DB cluster parameter group.
', 'CreateDBClusterSnapshotMessage$DBClusterSnapshotIdentifier' => 'The identifier of the DB cluster snapshot. This parameter is stored as a lowercase string.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-cluster1-snapshot1
The identifier of the DB cluster to create a snapshot for. This parameter isn\'t case-sensitive.
Constraints:
Must match the identifier of an existing DBCluster.
Example: my-cluster1
The meaning of this parameter differs according to the database engine you use.
The name of the database to create when the primary DB instance of the Aurora MySQL DB cluster is created. If this parameter isn\'t specified for an Aurora MySQL DB cluster, no database is created in the DB cluster.
Constraints:
Must contain 1 to 64 alphanumeric characters.
Must begin with a letter. Subsequent characters can be letters, underscores, or digits (0-9).
Can\'t be a word reserved by the database engine.
The name of the database to create when the primary DB instance of the Aurora PostgreSQL DB cluster is created. A database named postgres is always created. If this parameter is specified, an additional database with this name is created.
Constraints:
It must contain 1 to 63 alphanumeric characters.
Must begin with a letter. Subsequent characters can be letters, underscores, or digits (0 to 9).
Can\'t be a word reserved by the database engine.
The Oracle System ID (SID) of the created RDS Custom DB instance. If you don\'t specify a value, the default value is ORCL for non-CDBs and RDSCDB for CDBs.
Default: ORCL
Constraints:
Must contain 1 to 8 alphanumeric characters.
Must contain a letter.
Can\'t be a word reserved by the database engine.
Not applicable. Must be null.
The name of the database to create when the DB instance is created. If this parameter isn\'t specified, no database is created in the DB instance. In some cases, we recommend that you don\'t add a database name. For more information, see Additional considerations in the Amazon RDS User Guide.
Constraints:
Must contain 1 to 64 letters or numbers.
Must begin with a letter. Subsequent characters can be letters, underscores, or digits (0-9).
Can\'t be a word reserved by the specified database engine.
The name of the database to create when the DB instance is created. If this parameter isn\'t specified, no database is created in the DB instance.
Constraints:
Must contain 1 to 64 letters or numbers.
Must begin with a letter. Subsequent characters can be letters, underscores, or digits (0-9).
Can\'t be a word reserved by the specified database engine.
The name of the database to create when the DB instance is created. If this parameter isn\'t specified, no database is created in the DB instance.
Constraints:
Must contain 1 to 64 letters or numbers.
Must begin with a letter. Subsequent characters can be letters, underscores, or digits (0-9).
Can\'t be a word reserved by the specified database engine.
The Oracle System ID (SID) of the created DB instance. If you don\'t specify a value, the default value is ORCL. You can\'t specify the string null, or any other reserved word, for DBName.
Default: ORCL
Constraints:
Can\'t be longer than 8 characters.
The name of the database to create when the DB instance is created. A database named postgres is always created. If this parameter is specified, an additional database with this name is created.
Constraints:
Must contain 1 to 63 letters, numbers, or underscores.
Must begin with a letter. Subsequent characters can be letters, underscores, or digits (0-9).
Can\'t be a word reserved by the specified database engine.
Not applicable. Must be null.
The identifier for this DB instance. This parameter is stored as a lowercase string.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: mydbinstance
The compute and memory capacity of the DB instance, for example db.m5.large. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines. For the full list of DB instance classes, and availability for your engine, see DB instance classes in the Amazon RDS User Guide or Aurora DB instance classes in the Amazon Aurora User Guide.
The database engine to use for this DB instance.
Not every database engine is available in every Amazon Web Services Region.
Valid Values:
aurora-mysql (for Aurora MySQL DB instances)
aurora-postgresql (for Aurora PostgreSQL DB instances)
custom-oracle-ee (for RDS Custom for Oracle DB instances)
custom-oracle-ee-cdb (for RDS Custom for Oracle DB instances)
custom-oracle-se2 (for RDS Custom for Oracle DB instances)
custom-oracle-se2-cdb (for RDS Custom for Oracle DB instances)
custom-sqlserver-ee (for RDS Custom for SQL Server DB instances)
custom-sqlserver-se (for RDS Custom for SQL Server DB instances)
custom-sqlserver-web (for RDS Custom for SQL Server DB instances)
custom-sqlserver-dev (for RDS Custom for SQL Server DB instances)
db2-ae
db2-se
mariadb
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
The name for the master user.
This setting doesn\'t apply to Amazon Aurora DB instances. The name for the master user is managed by the DB cluster.
This setting is required for RDS DB instances.
Constraints:
Must be 1 to 16 letters, numbers, or underscores.
First character must be a letter.
Can\'t be a reserved word for the chosen database engine.
The password for the master user.
This setting doesn\'t apply to Amazon Aurora DB instances. The password for the master user is managed by the DB cluster.
Constraints:
Can\'t be specified if ManageMasterUserPassword is turned on.
Can include any printable ASCII character except "/", """, or "@". For RDS for Oracle, can\'t include the "&" (ampersand) or the "\'" (single quotes) character.
Length Constraints:
RDS for Db2 - Must contain from 8 to 255 characters.
RDS for MariaDB - Must contain from 8 to 41 characters.
RDS for Microsoft SQL Server - Must contain from 8 to 128 characters.
RDS for MySQL - Must contain from 8 to 41 characters.
RDS for Oracle - Must contain from 8 to 30 characters.
RDS for PostgreSQL - Must contain from 8 to 128 characters.
The Availability Zone (AZ) where the database will be created. For information on Amazon Web Services Regions and Availability Zones, see Regions and Availability Zones.
For Amazon Aurora, each Aurora DB cluster hosts copies of its storage in three separate Availability Zones. Specify one of these Availability Zones. Aurora automatically chooses an appropriate Availability Zone if you don\'t specify one.
Default: A random, system-chosen Availability Zone in the endpoint\'s Amazon Web Services Region.
Constraints:
The AvailabilityZone parameter can\'t be specified if the DB instance is a Multi-AZ deployment.
The specified Availability Zone must be in the same Amazon Web Services Region as the current endpoint.
Example: us-east-1d
A DB subnet group to associate with this DB instance.
Constraints:
Must match the name of an existing DB subnet group.
Example: mydbsubnetgroup
The time range each week during which system maintenance can occur. For more information, see Amazon RDS Maintenance Window in the Amazon RDS User Guide.
The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region, occurring on a random day of the week.
Constraints:
Must be in the format ddd:hh24:mi-ddd:hh24:mi.
The day values must be mon | tue | wed | thu | fri | sat | sun.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred backup window.
Must be at least 30 minutes.
The name of the DB parameter group to associate with this DB instance. If you don\'t specify a value, then Amazon RDS uses the default DB parameter group for the specified DB engine and version.
This setting doesn\'t apply to RDS Custom DB instances.
Constraints:
Must be 1 to 255 letters, numbers, or hyphens.
The first character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
The daily time range during which automated backups are created if automated backups are enabled, using the BackupRetentionPeriod parameter. The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region. For more information, see Backup window in the Amazon RDS User Guide.
This setting doesn\'t apply to Amazon Aurora DB instances. The daily time range for creating automated backups is managed by the DB cluster.
Constraints:
Must be in the format hh24:mi-hh24:mi.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred maintenance window.
Must be at least 30 minutes.
The version number of the database engine to use.
This setting doesn\'t apply to Amazon Aurora DB instances. The version number of the database engine the DB instance uses is managed by the DB cluster.
For a list of valid engine versions, use the DescribeDBEngineVersions operation.
The following are the database engines and links to information about the major and minor versions that are available with Amazon RDS. Not every database engine is available for every Amazon Web Services Region.
A custom engine version (CEV) that you have previously created. This setting is required for RDS Custom for Oracle. The CEV name has the following format: 19.customized_string. A valid CEV name is 19.my_cev1. For more information, see Creating an RDS Custom for Oracle DB instance in the Amazon RDS User Guide.
See RDS Custom for SQL Server general requirements in the Amazon RDS User Guide.
For information, see Db2 on Amazon RDS versions in the Amazon RDS User Guide.
For information, see MariaDB on Amazon RDS versions in the Amazon RDS User Guide.
For information, see Microsoft SQL Server versions on Amazon RDS in the Amazon RDS User Guide.
For information, see MySQL on Amazon RDS versions in the Amazon RDS User Guide.
For information, see Oracle Database Engine release notes in the Amazon RDS User Guide.
For information, see Amazon RDS for PostgreSQL versions and extensions in the Amazon RDS User Guide.
The license model information for this DB instance.
License models for RDS for Db2 require additional configuration. The Bring Your Own License (BYOL) model requires a custom parameter group and an Amazon Web Services License Manager self-managed license. The Db2 license through Amazon Web Services Marketplace model requires an Amazon Web Services Marketplace subscription. For more information, see Amazon RDS for Db2 licensing options in the Amazon RDS User Guide.
The default for RDS for Db2 is bring-your-own-license.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
Valid Values:
RDS for Db2 - bring-your-own-license | marketplace-license
RDS for MariaDB - general-public-license
RDS for Microsoft SQL Server - license-included
RDS for MySQL - general-public-license
RDS for Oracle - bring-your-own-license | license-included
RDS for PostgreSQL - postgresql-license
The option group to associate the DB instance with.
Permanent options, such as the TDE option for Oracle Advanced Security TDE, can\'t be removed from an option group. Also, that option group can\'t be removed from a DB instance after it is associated with a DB instance.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
', 'CreateDBInstanceMessage$CharacterSetName' => 'For supported engines, the character set (CharacterSet) to associate the DB instance with.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora - The character set is managed by the DB cluster. For more information, see CreateDBCluster.
RDS Custom - However, if you need to change the character set, you can change it on the database itself.
The name of the NCHAR character set for the Oracle DB instance.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceMessage$DBClusterIdentifier' => 'The identifier of the DB cluster that this DB instance will belong to.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceMessage$StorageType' => 'The storage type to associate with the DB instance.
If you specify io1, io2, or gp3, you must also include a value for the Iops parameter.
This setting doesn\'t apply to Amazon Aurora DB instances. Storage is managed by the DB cluster.
Valid Values: gp2 | gp3 | io1 | io2 | standard
Default: io1, if the Iops parameter is specified. Otherwise, gp2.
The ARN from the key store with which to associate the instance for TDE encryption.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
', 'CreateDBInstanceMessage$TdeCredentialPassword' => 'The password for the given ARN from the key store in order to access the device.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceMessage$KmsKeyId' => 'The Amazon Web Services KMS key identifier for an encrypted DB instance.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
This setting doesn\'t apply to Amazon Aurora DB instances. The Amazon Web Services KMS key identifier is managed by the DB cluster. For more information, see CreateDBCluster.
If StorageEncrypted is enabled, and you do not specify a value for the KmsKeyId parameter, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
For Amazon RDS Custom, a KMS key is required for DB instances. For most RDS engines, if you leave this parameter empty while enabling StorageEncrypted, the engine uses the default KMS key. However, RDS Custom doesn\'t use the default key when this parameter is empty. You must explicitly specify a key.
The Active Directory directory ID to create the DB instance in. Currently, you can create only Db2, MySQL, Microsoft SQL Server, Oracle, and PostgreSQL DB instances in an Active Directory Domain.
For more information, see Kerberos Authentication in the Amazon RDS User Guide.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora (The domain is managed by the DB cluster.)
RDS Custom
The fully qualified domain name (FQDN) of an Active Directory domain.
Constraints:
Can\'t be longer than 64 characters.
Example: mymanagedADtest.mymanagedAD.mydomain
The Active Directory organizational unit for your DB instance to join.
Constraints:
Must be in the distinguished name format.
Can\'t be longer than 64 characters.
Example: OU=mymanagedADtestOU,DC=mymanagedADtest,DC=mymanagedAD,DC=mydomain
The ARN for the Secrets Manager secret with the credentials for the user joining the domain.
Example: arn:aws:secretsmanager:region:account-number:secret:myselfmanagedADtestsecret-123456
The ARN for the IAM role that permits RDS to send enhanced monitoring metrics to Amazon CloudWatch Logs. For example, arn:aws:iam:123456789012:role/emaccess. For information on creating a monitoring role, see Setting Up and Enabling Enhanced Monitoring in the Amazon RDS User Guide.
If MonitoringInterval is set to a value other than 0, then you must supply a MonitoringRoleArn value.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceMessage$DomainIAMRoleName' => 'The name of the IAM role to use when making API calls to the Directory Service.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora (The domain is managed by the DB cluster.)
RDS Custom
The time zone of the DB instance. The time zone parameter is currently supported only by RDS for Db2 and RDS for SQL Server.
', 'CreateDBInstanceMessage$PerformanceInsightsKMSKeyId' => 'The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you don\'t specify a value for PerformanceInsightsKMSKeyId, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceMessage$CustomIamInstanceProfile' => 'The instance profile associated with the underlying Amazon EC2 instance of an RDS Custom DB instance.
This setting is required for RDS Custom.
Constraints:
The profile must exist in your account.
The profile must have an IAM role that Amazon EC2 has permissions to assume.
The instance profile name and the associated IAM role name must start with the prefix AWSRDSCustom.
For the list of permissions required for the IAM role, see Configure IAM and your VPC in the Amazon RDS User Guide.
', 'CreateDBInstanceMessage$BackupTarget' => 'The location for storing automated backups and manual snapshots.
Valid Values:
outposts (Amazon Web Services Outposts)
region (Amazon Web Services Region)
Default: region
For more information, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
', 'CreateDBInstanceMessage$NetworkType' => 'The network type of the DB instance.
The network type is determined by the DBSubnetGroup specified for the DB instance. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
Valid Values: IPV4 | DUAL
The Amazon Web Services KMS key identifier to encrypt a secret that is automatically generated and managed in Amazon Web Services Secrets Manager.
This setting is valid only if the master user password is managed by RDS in Amazon Web Services Secrets Manager for the DB instance.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
If you don\'t specify MasterUserSecretKmsKeyId, then the aws/secretsmanager KMS key is used to encrypt the secret. If the secret is in a different Amazon Web Services account, then you can\'t use the aws/secretsmanager KMS key to encrypt the secret, and you must use a customer managed KMS key.
There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
', 'CreateDBInstanceMessage$CACertificateIdentifier' => 'The CA certificate identifier to use for the DB instance\'s server certificate.
This setting doesn\'t apply to RDS Custom DB instances.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'CreateDBInstanceMessage$DBSystemId' => 'The Oracle system identifier (SID), which is the name of the Oracle database instance that manages your database files. In this context, the term "Oracle database instance" refers exclusively to the system global area (SGA) and Oracle background processes. If you don\'t specify a SID, the value defaults to RDSCDB. The Oracle SID is also the name of your CDB.
The life cycle type for this DB instance.
By default, this value is set to open-source-rds-extended-support, which enrolls your DB instance into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, creating the DB instance will fail if the DB major version is past its end of standard support date.
This setting applies only to RDS for MySQL and RDS for PostgreSQL. For Amazon Aurora DB instances, the life cycle type is managed by the DB cluster.
You can use this setting to enroll your DB instance into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your DB instance past the end of standard support for that engine version. For more information, see Using Amazon RDS Extended Support in the Amazon RDS User Guide.
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The DB instance identifier of the read replica. This identifier is the unique key that identifies a DB instance. This parameter is stored as a lowercase string.
', 'CreateDBInstanceReadReplicaMessage$SourceDBInstanceIdentifier' => 'The identifier of the DB instance that will act as the source for the read replica. Each DB instance can have up to 15 read replicas, with the exception of Oracle and SQL Server, which can have up to five.
Constraints:
Must be the identifier of an existing Db2, MariaDB, MySQL, Oracle, PostgreSQL, or SQL Server DB instance.
Can\'t be specified if the SourceDBClusterIdentifier parameter is also specified.
For the limitations of Oracle read replicas, see Version and licensing considerations for RDS for Oracle replicas in the Amazon RDS User Guide.
For the limitations of SQL Server read replicas, see Read replica limitations with SQL Server in the Amazon RDS User Guide.
The specified DB instance must have automatic backups enabled, that is, its backup retention period must be greater than 0.
If the source DB instance is in the same Amazon Web Services Region as the read replica, specify a valid DB instance identifier.
If the source DB instance is in a different Amazon Web Services Region from the read replica, specify a valid DB instance ARN. For more information, see Constructing an ARN for Amazon RDS in the Amazon RDS User Guide. This doesn\'t apply to SQL Server or RDS Custom, which don\'t support cross-Region replicas.
The compute and memory capacity of the read replica, for example db.m4.large. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines. For the full list of DB instance classes, and availability for your engine, see DB Instance Class in the Amazon RDS User Guide.
Default: Inherits the value from the source DB instance.
', 'CreateDBInstanceReadReplicaMessage$AvailabilityZone' => 'The Availability Zone (AZ) where the read replica will be created.
Default: A random, system-chosen Availability Zone in the endpoint\'s Amazon Web Services Region.
Example: us-east-1d
The option group to associate the DB instance with. If not specified, RDS uses the option group associated with the source DB instance or cluster.
For SQL Server, you must use the option group associated with the source.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$DBParameterGroupName' => 'The name of the DB parameter group to associate with this read replica DB instance.
For Single-AZ or Multi-AZ DB instance read replica instances, if you don\'t specify a value for DBParameterGroupName, then Amazon RDS uses the DBParameterGroup of the source DB instance for a same Region read replica, or the default DBParameterGroup for the specified DB engine for a cross-Region read replica.
For Multi-AZ DB cluster same Region read replica instances, if you don\'t specify a value for DBParameterGroupName, then Amazon RDS uses the default DBParameterGroup.
Specifying a parameter group for this operation is only supported for MySQL DB instances for cross-Region read replicas, for Multi-AZ DB cluster read replica instances, and for Oracle DB instances. It isn\'t supported for MySQL DB instances for same Region read replicas or for RDS Custom.
Constraints:
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
A DB subnet group for the DB instance. The new DB instance is created in the VPC associated with the DB subnet group. If no DB subnet group is specified, then the new DB instance isn\'t created in a VPC.
Constraints:
If supplied, must match the name of an existing DB subnet group.
The specified DB subnet group must be in the same Amazon Web Services Region in which the operation is running.
All read replicas in one Amazon Web Services Region that are created from the same source DB instance must either:
Specify DB subnet groups from the same VPC. All these read replicas are created in the same VPC.
Not specify a DB subnet group. All these read replicas are created outside of any VPC.
Example: mydbsubnetgroup
The storage type to associate with the read replica.
If you specify io1, io2, or gp3, you must also include a value for the Iops parameter.
Valid Values: gp2 | gp3 | io1 | io2 | standard
Default: io1 if the Iops parameter is specified. Otherwise, gp2.
The ARN for the IAM role that permits RDS to send enhanced monitoring metrics to Amazon CloudWatch Logs. For example, arn:aws:iam:123456789012:role/emaccess. For information on creating a monitoring role, go to To create an IAM role for Amazon RDS Enhanced Monitoring in the Amazon RDS User Guide.
If MonitoringInterval is set to a value other than 0, then you must supply a MonitoringRoleArn value.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$KmsKeyId' => 'The Amazon Web Services KMS key identifier for an encrypted read replica.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you create an encrypted read replica in the same Amazon Web Services Region as the source DB instance or Multi-AZ DB cluster, don\'t specify a value for this parameter. A read replica in the same Amazon Web Services Region is always encrypted with the same KMS key as the source DB instance or cluster.
If you create an encrypted read replica in a different Amazon Web Services Region, then you must specify a KMS key identifier for the destination Amazon Web Services Region. KMS keys are specific to the Amazon Web Services Region that they are created in, and you can\'t use KMS keys from one Amazon Web Services Region in another Amazon Web Services Region.
You can\'t create an encrypted read replica from an unencrypted DB instance or Multi-AZ DB cluster.
This setting doesn\'t apply to RDS Custom, which uses the same KMS key as the primary replica.
', 'CreateDBInstanceReadReplicaMessage$PreSignedUrl' => 'When you are creating a read replica from one Amazon Web Services GovCloud (US) Region to another or from one China Amazon Web Services Region to another, the URL that contains a Signature Version 4 signed request for the CreateDBInstanceReadReplica API operation in the source Amazon Web Services Region that contains the source DB instance.
This setting applies only to Amazon Web Services GovCloud (US) Regions and China Amazon Web Services Regions. It\'s ignored in other Amazon Web Services Regions.
This setting applies only when replicating from a source DB instance. Source DB clusters aren\'t supported in Amazon Web Services GovCloud (US) Regions and China Amazon Web Services Regions.
You must specify this parameter when you create an encrypted read replica from another Amazon Web Services Region by using the Amazon RDS API. Don\'t specify PreSignedUrl when you are creating an encrypted read replica in the same Amazon Web Services Region.
The presigned URL must be a valid request for the CreateDBInstanceReadReplica API operation that can run in the source Amazon Web Services Region that contains the encrypted source DB instance. The presigned URL request must contain the following parameter values:
DestinationRegion - The Amazon Web Services Region that the encrypted read replica is created in. This Amazon Web Services Region is the same one where the CreateDBInstanceReadReplica operation is called that contains this presigned URL.
For example, if you create an encrypted DB instance in the us-west-1 Amazon Web Services Region, from a source DB instance in the us-east-2 Amazon Web Services Region, then you call the CreateDBInstanceReadReplica operation in the us-east-1 Amazon Web Services Region and provide a presigned URL that contains a call to the CreateDBInstanceReadReplica operation in the us-west-2 Amazon Web Services Region. For this example, the DestinationRegion in the presigned URL must be set to the us-east-1 Amazon Web Services Region.
KmsKeyId - The KMS key identifier for the key to use to encrypt the read replica in the destination Amazon Web Services Region. This is the same identifier for both the CreateDBInstanceReadReplica operation that is called in the destination Amazon Web Services Region, and the operation contained in the presigned URL.
SourceDBInstanceIdentifier - The DB instance identifier for the encrypted DB instance to be replicated. This identifier must be in the Amazon Resource Name (ARN) format for the source Amazon Web Services Region. For example, if you are creating an encrypted read replica from a DB instance in the us-west-2 Amazon Web Services Region, then your SourceDBInstanceIdentifier looks like the following example: arn:aws:rds:us-west-2:123456789012:instance:mysql-instance1-20161115.
To learn how to generate a Signature Version 4 signed request, see Authenticating Requests: Using Query Parameters (Amazon Web Services Signature Version 4) and Signature Version 4 Signing Process.
If you are using an Amazon Web Services SDK tool or the CLI, you can specify SourceRegion (or --source-region for the CLI) instead of specifying PreSignedUrl manually. Specifying SourceRegion autogenerates a presigned URL that is a valid request for the operation that can run in the source Amazon Web Services Region.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$PerformanceInsightsKMSKeyId' => 'The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you do not specify a value for PerformanceInsightsKMSKeyId, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$Domain' => 'The Active Directory directory ID to create the DB instance in. Currently, only MySQL, Microsoft SQL Server, Oracle, and PostgreSQL DB instances can be created in an Active Directory Domain.
For more information, see Kerberos Authentication in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$DomainIAMRoleName' => 'The name of the IAM role to use when making API calls to the Directory Service.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$DomainFqdn' => 'The fully qualified domain name (FQDN) of an Active Directory domain.
Constraints:
Can\'t be longer than 64 characters.
Example: mymanagedADtest.mymanagedAD.mydomain
The Active Directory organizational unit for your DB instance to join.
Constraints:
Must be in the distinguished name format.
Can\'t be longer than 64 characters.
Example: OU=mymanagedADtestOU,DC=mymanagedADtest,DC=mymanagedAD,DC=mydomain
The ARN for the Secrets Manager secret with the credentials for the user joining the domain.
Example: arn:aws:secretsmanager:region:account-number:secret:myselfmanagedADtestsecret-123456
The instance profile associated with the underlying Amazon EC2 instance of an RDS Custom DB instance. The instance profile must meet the following requirements:
The profile must exist in your account.
The profile must have an IAM role that Amazon EC2 has permissions to assume.
The instance profile name and the associated IAM role name must start with the prefix AWSRDSCustom.
For the list of permissions required for the IAM role, see Configure IAM and your VPC in the Amazon RDS User Guide.
This setting is required for RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$NetworkType' => 'The network type of the DB instance.
Valid Values:
IPV4
DUAL
The network type is determined by the DBSubnetGroup specified for read replica. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
', 'CreateDBInstanceReadReplicaMessage$SourceDBClusterIdentifier' => 'The identifier of the Multi-AZ DB cluster that will act as the source for the read replica. Each DB cluster can have up to 15 read replicas.
Constraints:
Must be the identifier of an existing Multi-AZ DB cluster.
Can\'t be specified if the SourceDBInstanceIdentifier parameter is also specified.
The specified DB cluster must have automatic backups enabled, that is, its backup retention period must be greater than 0.
The source DB cluster must be in the same Amazon Web Services Region as the read replica. Cross-Region replication isn\'t supported.
The CA certificate identifier to use for the read replica\'s server certificate.
This setting doesn\'t apply to RDS Custom DB instances.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'CreateDBParameterGroupMessage$DBParameterGroupName' => 'The name of the DB parameter group.
Constraints:
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
This value is stored as a lowercase string.
The DB parameter group family name. A DB parameter group can be associated with one and only one DB parameter group family, and can be applied only to a DB instance running a database engine and engine version compatible with that DB parameter group family.
To list all of the available parameter group families for a DB engine, use the following command:
aws rds describe-db-engine-versions --query "DBEngineVersions[].DBParameterGroupFamily" --engine <engine>
For example, to list all of the available parameter group families for the MySQL DB engine, use the following command:
aws rds describe-db-engine-versions --query "DBEngineVersions[].DBParameterGroupFamily" --engine mysql
The output contains duplicates.
The following are the valid DB engine values:
aurora-mysql
aurora-postgresql
db2-ae
db2-se
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
The description for the DB parameter group.
', 'CreateDBProxyRequest$DBProxyName' => 'The identifier for the proxy. This name must be unique for all proxies owned by your Amazon Web Services account in the specified Amazon Web Services Region. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens; it can\'t end with a hyphen or contain two consecutive hyphens.
', 'CreateDBProxyRequest$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role that the proxy uses to access secrets in Amazon Web Services Secrets Manager.
', 'CreateDBSecurityGroupMessage$DBSecurityGroupName' => 'The name for the DB security group. This value is stored as a lowercase string.
Constraints:
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Must not be "Default"
Example: mysecuritygroup
The description for the DB security group.
', 'CreateDBShardGroupMessage$DBShardGroupIdentifier' => 'The name of the DB shard group.
', 'CreateDBShardGroupMessage$DBClusterIdentifier' => 'The name of the primary DB cluster for the DB shard group.
', 'CreateDBSnapshotMessage$DBSnapshotIdentifier' => 'The identifier for the DB snapshot.
Constraints:
Can\'t be null, empty, or blank
Must contain from 1 to 255 letters, numbers, or hyphens
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Example: my-snapshot-id
The identifier of the DB instance that you want to create the snapshot of.
Constraints:
Must match the identifier of an existing DBInstance.
The name for the DB subnet group. This value is stored as a lowercase string.
Constraints:
Must contain no more than 255 letters, numbers, periods, underscores, spaces, or hyphens.
Must not be default.
First character must be a letter.
Example: mydbsubnetgroup
The description for the DB subnet group.
', 'CreateEventSubscriptionMessage$SubscriptionName' => 'The name of the subscription.
Constraints: The name must be less than 255 characters.
', 'CreateEventSubscriptionMessage$SnsTopicArn' => 'The Amazon Resource Name (ARN) of the SNS topic created for event notification. SNS automatically creates the ARN when you create a topic and subscribe to it.
RDS doesn\'t support FIFO (first in, first out) topics. For more information, see Message ordering and deduplication (FIFO topics) in the Amazon Simple Notification Service Developer Guide.
The type of source that is generating the events. For example, if you want to be notified of events generated by a DB instance, you set this parameter to db-instance. For RDS Proxy events, specify db-proxy. If this value isn\'t specified, all events are returned.
Valid Values: db-instance | db-cluster | db-parameter-group | db-security-group | db-snapshot | db-cluster-snapshot | db-proxy | zero-etl | custom-engine-version | blue-green-deployment
The cluster identifier for this global database cluster. This parameter is stored as a lowercase string.
', 'CreateGlobalClusterMessage$SourceDBClusterIdentifier' => 'The Amazon Resource Name (ARN) to use as the primary cluster of the global database.
If you provide a value for this parameter, don\'t specify values for the following settings because Amazon Aurora uses the values from the specified source DB cluster:
DatabaseName
Engine
EngineVersion
StorageEncrypted
The database engine to use for this global database cluster.
Valid Values: aurora-mysql | aurora-postgresql
Constraints:
Can\'t be specified if SourceDBClusterIdentifier is specified. In this case, Amazon Aurora uses the engine of the source DB cluster.
The engine version to use for this global database cluster.
Constraints:
Can\'t be specified if SourceDBClusterIdentifier is specified. In this case, Amazon Aurora uses the engine version of the source DB cluster.
The life cycle type for this global database cluster.
By default, this value is set to open-source-rds-extended-support, which enrolls your global cluster into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, creating the global cluster will fail if the DB major version is past its end of standard support date.
This setting only applies to Aurora PostgreSQL-based global databases.
You can use this setting to enroll your global cluster into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your global cluster past the end of standard support for that engine version. For more information, see Using Amazon RDS Extended Support in the Amazon Aurora User Guide.
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The name for your database of up to 64 alphanumeric characters. If you don\'t specify a name, Amazon Aurora doesn\'t create a database in the global database cluster.
Constraints:
Can\'t be specified if SourceDBClusterIdentifier is specified. In this case, Amazon Aurora uses the database name from the source DB cluster.
The Amazon Web Services Key Management System (Amazon Web Services KMS) key identifier for the key to use to encrypt the integration. If you don\'t specify an encryption key, RDS uses a default Amazon Web Services owned key.
', 'CreateOptionGroupMessage$OptionGroupName' => 'Specifies the name of the option group to be created.
Constraints:
Must be 1 to 255 letters, numbers, or hyphens
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Example: myoptiongroup
The name of the engine to associate this option group with.
Valid Values:
db2-ae
db2-se
mariadb
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
Specifies the major version of the engine that this option group should be associated with.
', 'CreateOptionGroupMessage$OptionGroupDescription' => 'The description of the option group.
', 'CreateTenantDatabaseMessage$DBInstanceIdentifier' => 'The user-supplied DB instance identifier. RDS creates your tenant database in this DB instance. This parameter isn\'t case-sensitive.
', 'CreateTenantDatabaseMessage$TenantDBName' => 'The user-supplied name of the tenant database that you want to create in your DB instance. This parameter has the same constraints as DBName in CreateDBInstance.
The name for the master user account in your tenant database. RDS creates this user account in the tenant database and grants privileges to the master user. This parameter is case-sensitive.
Constraints:
Must be 1 to 16 letters, numbers, or underscores.
First character must be a letter.
Can\'t be a reserved word for the chosen database engine.
The character set for your tenant database. If you don\'t specify a value, the character set name defaults to AL32UTF8.
The NCHAR value for the tenant database.
A value that indicates the ID of the AMI.
', 'CustomDBEngineVersionAMI$Status' => 'A value that indicates the status of a custom engine version (CEV).
', 'DBCluster$CharacterSetName' => 'If present, specifies the name of the character set that this cluster is associated with.
', 'DBCluster$DatabaseName' => 'The name of the initial database that was specified for the DB cluster when it was created, if one was provided. This same name is returned for the life of the DB cluster.
', 'DBCluster$DBClusterIdentifier' => 'The user-supplied identifier for the DB cluster. This identifier is the unique key that identifies a DB cluster.
', 'DBCluster$DBClusterParameterGroup' => 'The name of the DB cluster parameter group for the DB cluster.
', 'DBCluster$DBSubnetGroup' => 'Information about the subnet group associated with the DB cluster, including the name, description, and subnets in the subnet group.
', 'DBCluster$Status' => 'The current state of this DB cluster.
', 'DBCluster$PercentProgress' => 'The progress of the operation as a percentage.
', 'DBCluster$Endpoint' => 'The connection endpoint for the primary instance of the DB cluster.
', 'DBCluster$ReaderEndpoint' => 'The reader endpoint for the DB cluster. The reader endpoint for a DB cluster load-balances connections across the Aurora Replicas that are available in a DB cluster. As clients request new connections to the reader endpoint, Aurora distributes the connection requests among the Aurora Replicas in the DB cluster. This functionality can help balance your read workload across multiple Aurora Replicas in your DB cluster.
If a failover occurs, and the Aurora Replica that you are connected to is promoted to be the primary instance, your connection is dropped. To continue sending your read workload to other Aurora Replicas in the cluster, you can then reconnect to the reader endpoint.
', 'DBCluster$Engine' => 'The database engine used for this DB cluster.
', 'DBCluster$EngineVersion' => 'The version of the database engine.
', 'DBCluster$MasterUsername' => 'The master username for the DB cluster.
', 'DBCluster$PreferredBackupWindow' => 'The daily time range during which automated backups are created if automated backups are enabled, as determined by the BackupRetentionPeriod.
The weekly time range during which system maintenance can occur, in Universal Coordinated Time (UTC).
', 'DBCluster$ReplicationSourceIdentifier' => 'The identifier of the source DB cluster if this DB cluster is a read replica.
', 'DBCluster$HostedZoneId' => 'The ID that Amazon Route 53 assigns when you create a hosted zone.
', 'DBCluster$KmsKeyId' => 'If StorageEncrypted is enabled, the Amazon Web Services KMS key identifier for the encrypted DB cluster.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBCluster$DbClusterResourceId' => 'The Amazon Web Services Region-unique, immutable identifier for the DB cluster. This identifier is found in Amazon Web Services CloudTrail log entries whenever the KMS key for the DB cluster is accessed.
', 'DBCluster$DBClusterArn' => 'The Amazon Resource Name (ARN) for the DB cluster.
', 'DBCluster$CloneGroupId' => 'The ID of the clone group with which the DB cluster is associated.
', 'DBCluster$EngineMode' => 'The DB engine mode of the DB cluster, either provisioned or serverless.
For more information, see CreateDBCluster.
', 'DBCluster$ActivityStreamKmsKeyId' => 'The Amazon Web Services KMS key identifier used for encrypting messages in the database activity stream.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBCluster$ActivityStreamKinesisStreamName' => 'The name of the Amazon Kinesis data stream used for the database activity stream.
', 'DBCluster$DBClusterInstanceClass' => 'The name of the compute and memory capacity class of the DB instance.
This setting is only for non-Aurora Multi-AZ DB clusters.
', 'DBCluster$StorageType' => 'The storage type associated with the DB cluster.
', 'DBCluster$MonitoringRoleArn' => 'The ARN for the IAM role that permits RDS to send Enhanced Monitoring metrics to Amazon CloudWatch Logs.
This setting is only for Aurora DB clusters and Multi-AZ DB clusters.
', 'DBCluster$PerformanceInsightsKMSKeyId' => 'The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
This setting is only for Aurora DB clusters and Multi-AZ DB clusters.
', 'DBCluster$NetworkType' => 'The network type of the DB instance.
The network type is determined by the DBSubnetGroup specified for the DB cluster. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon Aurora User Guide.
This setting is only for Aurora DB clusters.
Valid Values: IPV4 | DUAL
Reserved for future use.
', 'DBCluster$AwsBackupRecoveryPointArn' => 'The Amazon Resource Name (ARN) of the recovery point in Amazon Web Services Backup.
', 'DBCluster$EngineLifecycleSupport' => 'The life cycle type for the DB cluster.
For more information, see CreateDBCluster.
', 'DBClusterAutomatedBackup$Engine' => 'The name of the database engine for this automated backup.
', 'DBClusterAutomatedBackup$VpcId' => 'The VPC ID associated with the DB cluster.
', 'DBClusterAutomatedBackup$DBClusterAutomatedBackupsArn' => 'The Amazon Resource Name (ARN) for the automated backups.
', 'DBClusterAutomatedBackup$DBClusterIdentifier' => 'The identifier for the source DB cluster, which can\'t be changed and which is unique to an Amazon Web Services Region.
', 'DBClusterAutomatedBackup$MasterUsername' => 'The master user name of the automated backup.
', 'DBClusterAutomatedBackup$DbClusterResourceId' => 'The resource ID for the source DB cluster, which can\'t be changed and which is unique to an Amazon Web Services Region.
', 'DBClusterAutomatedBackup$Region' => 'The Amazon Web Services Region associated with the automated backup.
', 'DBClusterAutomatedBackup$LicenseModel' => 'The license model information for this DB cluster automated backup.
', 'DBClusterAutomatedBackup$Status' => 'A list of status information for an automated backup:
retained - Automated backups for deleted clusters.
The version of the database engine for the automated backup.
', 'DBClusterAutomatedBackup$DBClusterArn' => 'The Amazon Resource Name (ARN) for the source DB cluster.
', 'DBClusterAutomatedBackup$EngineMode' => 'The engine mode of the database engine for the automated backup.
', 'DBClusterAutomatedBackup$KmsKeyId' => 'The Amazon Web Services KMS key ID for an automated backup.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBClusterAutomatedBackup$StorageType' => 'The storage type associated with the DB cluster.
This setting is only for non-Aurora Multi-AZ DB clusters.
', 'DBClusterAutomatedBackup$AwsBackupRecoveryPointArn' => 'The Amazon Resource Name (ARN) of the recovery point in Amazon Web Services Backup.
', 'DBClusterAutomatedBackupMessage$Marker' => 'The pagination token provided in the previous request. If this parameter is specified the response includes only records beyond the marker, up to MaxRecords.
Contains a user-supplied DB cluster identifier. This identifier is the unique key that identifies a DB cluster.
', 'DBClusterBacktrack$BacktrackIdentifier' => 'Contains the backtrack identifier.
', 'DBClusterBacktrack$Status' => 'The status of the backtrack. This property returns one of the following values:
applying - The backtrack is currently being applied to or rolled back from the DB cluster.
completed - The backtrack has successfully been applied to or rolled back from the DB cluster.
failed - An error occurred while the backtrack was applied to or rolled back from the DB cluster.
pending - The backtrack is currently pending application to or rollback from the DB cluster.
A pagination token that can be used in a later DescribeDBClusterBacktracks request.
A user-supplied DB cluster identifier. This identifier is the unique key that identifies a DB cluster.
', 'DBClusterCapacityInfo$TimeoutAction' => 'The timeout action of a call to ModifyCurrentDBClusterCapacity, either ForceApplyCapacityChange or RollbackCapacityChange.
The identifier associated with the endpoint. This parameter is stored as a lowercase string.
', 'DBClusterEndpoint$DBClusterIdentifier' => 'The DB cluster identifier of the DB cluster associated with the endpoint. This parameter is stored as a lowercase string.
', 'DBClusterEndpoint$DBClusterEndpointResourceIdentifier' => 'A unique system-generated identifier for an endpoint. It remains the same for the whole life of the endpoint.
', 'DBClusterEndpoint$Endpoint' => 'The DNS address of the endpoint.
', 'DBClusterEndpoint$Status' => 'The current status of the endpoint. One of: creating, available, deleting, inactive, modifying. The inactive state applies to an endpoint that can\'t be used for a certain kind of cluster, such as a writer endpoint for a read-only secondary cluster in a global database.
The type of the endpoint. One of: READER, WRITER, CUSTOM.
The type associated with a custom endpoint. One of: READER, WRITER, ANY.
The Amazon Resource Name (ARN) for the endpoint.
', 'DBClusterEndpointMessage$Marker' => 'An optional pagination token provided by a previous DescribeDBClusterEndpoints request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
Specifies the instance identifier for this member of the DB cluster.
', 'DBClusterMember$DBClusterParameterGroupStatus' => 'Specifies the status of the DB cluster parameter group for this member of the DB cluster.
', 'DBClusterMessage$Marker' => 'A pagination token that can be used in a later DescribeDBClusters request.
Specifies the name of the DB cluster option group.
', 'DBClusterOptionGroupStatus$Status' => 'Specifies the status of the DB cluster option group.
', 'DBClusterParameterGroup$DBClusterParameterGroupName' => 'The name of the DB cluster parameter group.
', 'DBClusterParameterGroup$DBParameterGroupFamily' => 'The name of the DB parameter group family that this DB cluster parameter group is compatible with.
', 'DBClusterParameterGroup$Description' => 'Provides the customer-specified description for this DB cluster parameter group.
', 'DBClusterParameterGroup$DBClusterParameterGroupArn' => 'The Amazon Resource Name (ARN) for the DB cluster parameter group.
', 'DBClusterParameterGroupDetails$Marker' => 'An optional pagination token provided by a previous DescribeDBClusterParameters request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the DB cluster parameter group.
Constraints:
Must be 1 to 255 letters or numbers.
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
This value is stored as a lowercase string.
An optional pagination token provided by a previous DescribeDBClusterParameterGroups request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The Amazon Resource Name (ARN) of the IAM role that is associated with the DB cluster.
', 'DBClusterRole$Status' => 'Describes the state of association between the IAM role and the DB cluster. The Status property returns one of the following values:
ACTIVE - the IAM role ARN is associated with the DB cluster and can be used to access other Amazon Web Services on your behalf.
PENDING - the IAM role ARN is being associated with the DB cluster.
INVALID - the IAM role ARN is associated with the DB cluster, but the DB cluster is unable to assume the IAM role in order to access other Amazon Web Services on your behalf.
The name of the feature associated with the Amazon Web Services Identity and Access Management (IAM) role. For information about supported feature names, see DBEngineVersion.
', 'DBClusterSnapshot$DBClusterSnapshotIdentifier' => 'The identifier for the DB cluster snapshot.
', 'DBClusterSnapshot$DBClusterIdentifier' => 'The DB cluster identifier of the DB cluster that this DB cluster snapshot was created from.
', 'DBClusterSnapshot$Engine' => 'The name of the database engine for this DB cluster snapshot.
', 'DBClusterSnapshot$EngineMode' => 'The engine mode of the database engine for this DB cluster snapshot.
', 'DBClusterSnapshot$Status' => 'The status of this DB cluster snapshot. Valid statuses are the following:
available
copying
creating
The VPC ID associated with the DB cluster snapshot.
', 'DBClusterSnapshot$MasterUsername' => 'The master username for this DB cluster snapshot.
', 'DBClusterSnapshot$EngineVersion' => 'The version of the database engine for this DB cluster snapshot.
', 'DBClusterSnapshot$LicenseModel' => 'The license model information for this DB cluster snapshot.
', 'DBClusterSnapshot$SnapshotType' => 'The type of the DB cluster snapshot.
', 'DBClusterSnapshot$KmsKeyId' => 'If StorageEncrypted is true, the Amazon Web Services KMS key identifier for the encrypted DB cluster snapshot.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBClusterSnapshot$DBClusterSnapshotArn' => 'The Amazon Resource Name (ARN) for the DB cluster snapshot.
', 'DBClusterSnapshot$SourceDBClusterSnapshotArn' => 'If the DB cluster snapshot was copied from a source DB cluster snapshot, the Amazon Resource Name (ARN) for the source DB cluster snapshot, otherwise, a null value.
', 'DBClusterSnapshot$DBSystemId' => 'Reserved for future use.
', 'DBClusterSnapshot$StorageType' => 'The storage type associated with the DB cluster snapshot.
This setting is only for Aurora DB clusters.
', 'DBClusterSnapshot$DbClusterResourceId' => 'The resource ID of the DB cluster that this DB cluster snapshot was created from.
', 'DBClusterSnapshotAttribute$AttributeName' => 'The name of the manual DB cluster snapshot attribute.
The attribute named restore refers to the list of Amazon Web Services accounts that have permission to copy or restore the manual DB cluster snapshot. For more information, see the ModifyDBClusterSnapshotAttribute API action.
The identifier of the manual DB cluster snapshot that the attributes apply to.
', 'DBClusterSnapshotMessage$Marker' => 'An optional pagination token provided by a previous DescribeDBClusterSnapshots request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
Reserved for future use.
', 'DBClusterStatusInfo$Status' => 'Reserved for future use.
', 'DBClusterStatusInfo$Message' => 'Reserved for future use.
', 'DBEngineVersion$Engine' => 'The name of the database engine.
', 'DBEngineVersion$EngineVersion' => 'The version number of the database engine.
', 'DBEngineVersion$DBParameterGroupFamily' => 'The name of the DB parameter group family for the database engine.
', 'DBEngineVersion$DBEngineDescription' => 'The description of the database engine.
', 'DBEngineVersion$DBEngineVersionDescription' => 'The description of the database engine version.
', 'DBEngineVersion$DBEngineMediaType' => 'A value that indicates the source media provider of the AMI based on the usage operation. Applicable for RDS Custom for SQL Server.
', 'DBEngineVersion$Status' => 'The status of the DB engine version, either available or deprecated.
The major engine version of the CEV.
', 'DBEngineVersion$DatabaseInstallationFilesS3BucketName' => 'The name of the Amazon S3 bucket that contains your database installation files.
', 'DBEngineVersion$DatabaseInstallationFilesS3Prefix' => 'The Amazon S3 directory that contains the database installation files. If not specified, then no prefix is assumed.
', 'DBEngineVersion$DBEngineVersionArn' => 'The ARN of the custom engine version.
', 'DBEngineVersion$KMSKeyId' => 'The Amazon Web Services KMS key identifier for an encrypted CEV. This parameter is required for RDS Custom, but optional for Amazon RDS.
', 'DBEngineVersionMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The user-supplied database identifier. This identifier is the unique key that identifies a DB instance.
', 'DBInstance$DBInstanceClass' => 'The name of the compute and memory capacity class of the DB instance.
', 'DBInstance$Engine' => 'The database engine used for this DB instance.
', 'DBInstance$DBInstanceStatus' => 'The current state of this database.
For information about DB instance statuses, see Viewing DB instance status in the Amazon RDS User Guide.
', 'DBInstance$MasterUsername' => 'The master username for the DB instance.
', 'DBInstance$DBName' => 'The initial database name that you provided (if required) when you created the DB instance. This name is returned for the life of your DB instance. For an RDS for Oracle CDB instance, the name identifies the PDB rather than the CDB.
', 'DBInstance$PreferredBackupWindow' => 'The daily time range during which automated backups are created if automated backups are enabled, as determined by the BackupRetentionPeriod.
The name of the Availability Zone where the DB instance is located.
', 'DBInstance$PreferredMaintenanceWindow' => 'The weekly time range during which system maintenance can occur, in Universal Coordinated Time (UTC).
', 'DBInstance$EngineVersion' => 'The version of the database engine.
', 'DBInstance$ReadReplicaSourceDBInstanceIdentifier' => 'The identifier of the source DB instance if this DB instance is a read replica.
', 'DBInstance$LicenseModel' => 'The license model information for this DB instance. This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
', 'DBInstance$CharacterSetName' => 'If present, specifies the name of the character set that this instance is associated with.
', 'DBInstance$NcharCharacterSetName' => 'The name of the NCHAR character set for the Oracle DB instance. This character set specifies the Unicode encoding for data stored in table columns of type NCHAR, NCLOB, or NVARCHAR2.
', 'DBInstance$SecondaryAvailabilityZone' => 'If present, specifies the name of the secondary Availability Zone for a DB instance with multi-AZ support.
', 'DBInstance$StorageType' => 'The storage type associated with the DB instance.
', 'DBInstance$TdeCredentialArn' => 'The ARN from the key store with which the instance is associated for TDE encryption.
', 'DBInstance$DBClusterIdentifier' => 'If the DB instance is a member of a DB cluster, indicates the name of the DB cluster that the DB instance is a member of.
', 'DBInstance$KmsKeyId' => 'If StorageEncrypted is enabled, the Amazon Web Services KMS key identifier for the encrypted DB instance.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBInstance$DbiResourceId' => 'The Amazon Web Services Region-unique, immutable identifier for the DB instance. This identifier is found in Amazon Web Services CloudTrail log entries whenever the Amazon Web Services KMS key for the DB instance is accessed.
', 'DBInstance$CACertificateIdentifier' => 'The identifier of the CA certificate for this DB instance.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'DBInstance$EnhancedMonitoringResourceArn' => 'The Amazon Resource Name (ARN) of the Amazon CloudWatch Logs log stream that receives the Enhanced Monitoring metrics data for the DB instance.
', 'DBInstance$MonitoringRoleArn' => 'The ARN for the IAM role that permits RDS to send Enhanced Monitoring metrics to Amazon CloudWatch Logs.
', 'DBInstance$DBInstanceArn' => 'The Amazon Resource Name (ARN) for the DB instance.
', 'DBInstance$Timezone' => 'The time zone of the DB instance. In most cases, the Timezone element is empty. Timezone content appears only for RDS for Db2 and RDS for SQL Server DB instances that were created with a time zone specified.
The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBInstance$AwsBackupRecoveryPointArn' => 'The Amazon Resource Name (ARN) of the recovery point in Amazon Web Services Backup.
', 'DBInstance$ActivityStreamKmsKeyId' => 'The Amazon Web Services KMS key identifier used for encrypting messages in the database activity stream. The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBInstance$ActivityStreamKinesisStreamName' => 'The name of the Amazon Kinesis data stream used for the database activity stream.
', 'DBInstance$CustomIamInstanceProfile' => 'The instance profile associated with the underlying Amazon EC2 instance of an RDS Custom DB instance. The instance profile must meet the following requirements:
The profile must exist in your account.
The profile must have an IAM role that Amazon EC2 has permissions to assume.
The instance profile name and the associated IAM role name must start with the prefix AWSRDSCustom.
For the list of permissions required for the IAM role, see Configure IAM and your VPC in the Amazon RDS User Guide.
', 'DBInstance$BackupTarget' => 'The location where automated backups and manual snapshots are stored: Amazon Web Services Outposts or the Amazon Web Services Region.
', 'DBInstance$NetworkType' => 'The network type of the DB instance.
The network type is determined by the DBSubnetGroup specified for the DB instance. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide and Working with a DB instance in a VPC in the Amazon Aurora User Guide.
Valid Values: IPV4 | DUAL
The Oracle system ID (Oracle SID) for a container database (CDB). The Oracle SID is also the name of the CDB. This setting is only valid for RDS Custom DB instances.
', 'DBInstance$ReadReplicaSourceDBClusterIdentifier' => 'The identifier of the source DB cluster if this DB instance is a read replica.
', 'DBInstance$PercentProgress' => 'The progress of the storage optimization operation as a percentage.
', 'DBInstance$EngineLifecycleSupport' => 'The life cycle type for the DB instance.
For more information, see CreateDBInstance.
', 'DBInstanceAutomatedBackup$DBInstanceArn' => 'The Amazon Resource Name (ARN) for the automated backups.
', 'DBInstanceAutomatedBackup$DbiResourceId' => 'The resource ID for the source DB instance, which can\'t be changed and which is unique to an Amazon Web Services Region.
', 'DBInstanceAutomatedBackup$Region' => 'The Amazon Web Services Region associated with the automated backup.
', 'DBInstanceAutomatedBackup$DBInstanceIdentifier' => 'The identifier for the source DB instance, which can\'t be changed and which is unique to an Amazon Web Services Region.
', 'DBInstanceAutomatedBackup$Status' => 'A list of status information for an automated backup:
active - Automated backups for current instances.
retained - Automated backups for deleted instances.
creating - Automated backups that are waiting for the first automated snapshot to be available.
The Availability Zone that the automated backup was created in. For information on Amazon Web Services Regions and Availability Zones, see Regions and Availability Zones.
', 'DBInstanceAutomatedBackup$VpcId' => 'The VPC ID associated with the DB instance.
', 'DBInstanceAutomatedBackup$MasterUsername' => 'The master user name of an automated backup.
', 'DBInstanceAutomatedBackup$Engine' => 'The name of the database engine for this automated backup.
', 'DBInstanceAutomatedBackup$EngineVersion' => 'The version of the database engine for the automated backup.
', 'DBInstanceAutomatedBackup$LicenseModel' => 'The license model information for the automated backup.
', 'DBInstanceAutomatedBackup$OptionGroupName' => 'The option group the automated backup is associated with. If omitted, the default option group for the engine specified is used.
', 'DBInstanceAutomatedBackup$TdeCredentialArn' => 'The ARN from the key store with which the automated backup is associated for TDE encryption.
', 'DBInstanceAutomatedBackup$StorageType' => 'The storage type associated with the automated backup.
', 'DBInstanceAutomatedBackup$KmsKeyId' => 'The Amazon Web Services KMS key ID for an automated backup.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBInstanceAutomatedBackup$Timezone' => 'The time zone of the automated backup. In most cases, the Timezone element is empty. Timezone content appears only for Microsoft SQL Server DB instances that were created with a time zone specified.
The Amazon Resource Name (ARN) for the replicated automated backups.
', 'DBInstanceAutomatedBackup$BackupTarget' => 'The location where automated backups are stored: Amazon Web Services Outposts or the Amazon Web Services Region.
', 'DBInstanceAutomatedBackup$AwsBackupRecoveryPointArn' => 'The Amazon Resource Name (ARN) of the recovery point in Amazon Web Services Backup.
', 'DBInstanceAutomatedBackupMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The Amazon Resource Name (ARN) of the replicated automated backups.
', 'DBInstanceMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords .
The Amazon Resource Name (ARN) of the IAM role that is associated with the DB instance.
', 'DBInstanceRole$FeatureName' => 'The name of the feature associated with the Amazon Web Services Identity and Access Management (IAM) role. For information about supported feature names, see DBEngineVersion.
Information about the state of association between the IAM role and the DB instance. The Status property returns one of the following values:
ACTIVE - the IAM role ARN is associated with the DB instance and can be used to access other Amazon Web Services services on your behalf.
PENDING - the IAM role ARN is being associated with the DB instance.
INVALID - the IAM role ARN is associated with the DB instance, but the DB instance is unable to assume the IAM role in order to access other Amazon Web Services services on your behalf.
This value is currently "read replication."
', 'DBInstanceStatusInfo$Status' => 'The status of the DB instance. For a StatusType of read replica, the values can be replicating, replication stop point set, replication stop point reached, error, stopped, or terminated.
', 'DBInstanceStatusInfo$Message' => 'Details of the error if there is an error for the instance. If the instance isn\'t in an error state, this value is blank.
', 'DBParameterGroup$DBParameterGroupName' => 'The name of the DB parameter group.
', 'DBParameterGroup$DBParameterGroupFamily' => 'The name of the DB parameter group family that this DB parameter group is compatible with.
', 'DBParameterGroup$Description' => 'Provides the customer-specified description for this DB parameter group.
', 'DBParameterGroup$DBParameterGroupArn' => 'The Amazon Resource Name (ARN) for the DB parameter group.
', 'DBParameterGroupDetails$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the DB parameter group.
', 'DBParameterGroupStatus$DBParameterGroupName' => 'The name of the DB parameter group.
', 'DBParameterGroupStatus$ParameterApplyStatus' => 'The status of parameter updates. Valid values are:
applying: The parameter group change is being applied to the database.
failed-to-apply: The parameter group is in an invalid state.
in-sync: The parameter group change is synchronized with the database.
pending-database-upgrade: The parameter group change will be applied after the DB instance is upgraded.
pending-reboot: The parameter group change will be applied after the DB instance reboots.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The identifier for the proxy. This name must be unique for all proxies owned by your Amazon Web Services account in the specified Amazon Web Services Region.
', 'DBProxy$DBProxyArn' => 'The Amazon Resource Name (ARN) for the proxy.
', 'DBProxy$EngineFamily' => 'The kinds of databases that the proxy can connect to. This value determines which database network protocol the proxy recognizes when it interprets network traffic to and from the database. MYSQL supports Aurora MySQL, RDS for MariaDB, and RDS for MySQL databases. POSTGRESQL supports Aurora PostgreSQL and RDS for PostgreSQL databases. SQLSERVER supports RDS for Microsoft SQL Server databases.
Provides the VPC ID of the DB proxy.
', 'DBProxy$RoleArn' => 'The Amazon Resource Name (ARN) for the IAM role that the proxy uses to access Amazon Secrets Manager.
', 'DBProxy$Endpoint' => 'The endpoint that you can use to connect to the DB proxy. You include the endpoint value in the connection string for a database client application.
', 'DBProxyEndpoint$DBProxyEndpointName' => 'The name for the DB proxy endpoint. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens; it can\'t end with a hyphen or contain two consecutive hyphens.
', 'DBProxyEndpoint$DBProxyEndpointArn' => 'The Amazon Resource Name (ARN) for the DB proxy endpoint.
', 'DBProxyEndpoint$DBProxyName' => 'The identifier for the DB proxy that is associated with this DB proxy endpoint.
', 'DBProxyEndpoint$VpcId' => 'Provides the VPC ID of the DB proxy endpoint.
', 'DBProxyEndpoint$Endpoint' => 'The endpoint that you can use to connect to the DB proxy. You include the endpoint value in the connection string for a database client application.
', 'DBProxyTarget$TargetArn' => 'The Amazon Resource Name (ARN) for the RDS DB instance or Aurora DB cluster.
', 'DBProxyTarget$Endpoint' => 'The writer endpoint for the RDS DB instance or Aurora DB cluster.
', 'DBProxyTarget$TrackedClusterId' => 'The DB cluster identifier when the target represents an Aurora DB cluster. This field is blank when the target represents an RDS DB instance.
', 'DBProxyTarget$RdsResourceId' => 'The identifier representing the target. It can be the instance identifier for an RDS DB instance, or the cluster identifier for an Aurora DB cluster.
', 'DBProxyTargetGroup$DBProxyName' => 'The identifier for the RDS proxy associated with this target group.
', 'DBProxyTargetGroup$TargetGroupName' => 'The identifier for the target group. This name must be unique for all target groups owned by your Amazon Web Services account in the specified Amazon Web Services Region.
', 'DBProxyTargetGroup$TargetGroupArn' => 'The Amazon Resource Name (ARN) representing the target group.
', 'DBProxyTargetGroup$Status' => 'The current status of this target group. A status of available means the target group is correctly associated with a database. Other values indicate that you must wait for the target group to be ready, or take some action to resolve an issue.
The unique identifier of the recommendation.
', 'DBRecommendation$TypeId' => 'A value that indicates the type of recommendation. This value determines how the description is rendered.
', 'DBRecommendation$Severity' => 'The severity level of the recommendation. The severity level can help you decide the urgency with which to address the recommendation.
Valid values:
high
medium
low
informational
The Amazon Resource Name (ARN) of the RDS resource associated with the recommendation.
', 'DBRecommendation$Status' => 'The current status of the recommendation.
Valid values:
active - The recommendations which are ready for you to apply.
pending - The applied or scheduled recommendations which are in progress.
resolved - The recommendations which are completed.
dismissed - The recommendations that you dismissed.
A short description of the issue identified for this recommendation. The description might contain markdown.
', 'DBRecommendation$Recommendation' => 'A short description of the recommendation to resolve an issue. The description might contain markdown.
', 'DBRecommendation$Description' => 'A detailed description of the recommendation. The description might contain markdown.
', 'DBRecommendation$Reason' => 'The reason why this recommendation was created. The information might contain markdown.
', 'DBRecommendation$Category' => 'The category of the recommendation.
Valid values:
performance efficiency
security
reliability
cost optimization
operational excellence
sustainability
The Amazon Web Services service that generated the recommendations.
', 'DBRecommendation$TypeDetection' => 'A short description of the recommendation type. The description might contain markdown.
', 'DBRecommendation$TypeRecommendation' => 'A short description that summarizes the recommendation to fix all the issues of the recommendation type. The description might contain markdown.
', 'DBRecommendation$Impact' => 'A short description that explains the possible impact of an issue.
', 'DBRecommendation$AdditionalInfo' => 'Additional information about the recommendation. The information might contain markdown.
', 'DBRecommendationsMessage$Marker' => 'An optional pagination token provided by a previous DBRecommendationsMessage request. This token can be used later in a DescribeDBRecomendations request.
Provides the Amazon Web Services ID of the owner of a specific DB security group.
', 'DBSecurityGroup$DBSecurityGroupName' => 'Specifies the name of the DB security group.
', 'DBSecurityGroup$DBSecurityGroupDescription' => 'Provides the description of the DB security group.
', 'DBSecurityGroup$VpcId' => 'Provides the VpcId of the DB security group.
', 'DBSecurityGroup$DBSecurityGroupArn' => 'The Amazon Resource Name (ARN) for the DB security group.
', 'DBSecurityGroupMembership$DBSecurityGroupName' => 'The name of the DB security group.
', 'DBSecurityGroupMembership$Status' => 'The status of the DB security group.
', 'DBSecurityGroupMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The Amazon Web Services Region-unique, immutable identifier for the DB shard group.
', 'DBShardGroup$DBClusterIdentifier' => 'The name of the primary DB cluster for the DB shard group.
', 'DBShardGroup$Status' => 'The status of the DB shard group.
', 'DBShardGroup$Endpoint' => 'The connection endpoint for the DB shard group.
', 'DBShardGroup$DBShardGroupArn' => 'The Amazon Resource Name (ARN) for the DB shard group.
', 'DBSnapshot$DBSnapshotIdentifier' => 'Specifies the identifier for the DB snapshot.
', 'DBSnapshot$DBInstanceIdentifier' => 'Specifies the DB instance identifier of the DB instance this DB snapshot was created from.
', 'DBSnapshot$Engine' => 'Specifies the name of the database engine.
', 'DBSnapshot$Status' => 'Specifies the status of this DB snapshot.
', 'DBSnapshot$AvailabilityZone' => 'Specifies the name of the Availability Zone the DB instance was located in at the time of the DB snapshot.
', 'DBSnapshot$VpcId' => 'Provides the VPC ID associated with the DB snapshot.
', 'DBSnapshot$MasterUsername' => 'Provides the master username for the DB snapshot.
', 'DBSnapshot$EngineVersion' => 'Specifies the version of the database engine.
', 'DBSnapshot$LicenseModel' => 'License model information for the restored DB instance.
', 'DBSnapshot$SnapshotType' => 'Provides the type of the DB snapshot.
', 'DBSnapshot$OptionGroupName' => 'Provides the option group name for the DB snapshot.
', 'DBSnapshot$SourceRegion' => 'The Amazon Web Services Region that the DB snapshot was created in or copied from.
', 'DBSnapshot$SourceDBSnapshotIdentifier' => 'The DB snapshot Amazon Resource Name (ARN) that the DB snapshot was copied from. It only has a value in the case of a cross-account or cross-Region copy.
', 'DBSnapshot$StorageType' => 'Specifies the storage type associated with DB snapshot.
', 'DBSnapshot$TdeCredentialArn' => 'The ARN from the key store with which to associate the instance for TDE encryption.
', 'DBSnapshot$KmsKeyId' => 'If Encrypted is true, the Amazon Web Services KMS key identifier for the encrypted DB snapshot.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBSnapshot$DBSnapshotArn' => 'The Amazon Resource Name (ARN) for the DB snapshot.
', 'DBSnapshot$Timezone' => 'The time zone of the DB snapshot. In most cases, the Timezone element is empty. Timezone content appears only for snapshots taken from Microsoft SQL Server DB instances that were created with a time zone specified.
The identifier for the source DB instance, which can\'t be changed and which is unique to an Amazon Web Services Region.
', 'DBSnapshot$SnapshotTarget' => 'Specifies where manual snapshots are stored: Amazon Web Services Outposts or the Amazon Web Services Region.
', 'DBSnapshot$DBSystemId' => 'The Oracle system identifier (SID), which is the name of the Oracle database instance that manages your database files. The Oracle SID is also the name of your CDB.
', 'DBSnapshotAttribute$AttributeName' => 'The name of the manual DB snapshot attribute.
The attribute named restore refers to the list of Amazon Web Services accounts that have permission to copy or restore the manual DB cluster snapshot. For more information, see the ModifyDBSnapshotAttribute API action.
The identifier of the manual DB snapshot that the attributes apply to.
', 'DBSnapshotMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The identifier for the snapshot of the DB instance.
', 'DBSnapshotTenantDatabase$DBInstanceIdentifier' => 'The ID for the DB instance that contains the tenant databases.
', 'DBSnapshotTenantDatabase$DbiResourceId' => 'The resource identifier of the source CDB instance. This identifier can\'t be changed and is unique to an Amazon Web Services Region.
', 'DBSnapshotTenantDatabase$EngineName' => 'The name of the database engine.
', 'DBSnapshotTenantDatabase$SnapshotType' => 'The type of DB snapshot.
', 'DBSnapshotTenantDatabase$TenantDBName' => 'The name of the tenant database.
', 'DBSnapshotTenantDatabase$MasterUsername' => 'The master username of the tenant database.
', 'DBSnapshotTenantDatabase$TenantDatabaseResourceId' => 'The resource ID of the tenant database.
', 'DBSnapshotTenantDatabase$CharacterSetName' => 'The name of the character set of a tenant database.
', 'DBSnapshotTenantDatabase$DBSnapshotTenantDatabaseARN' => 'The Amazon Resource Name (ARN) for the snapshot tenant database.
', 'DBSnapshotTenantDatabase$NcharCharacterSetName' => 'The NCHAR character set name of the tenant database.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the DB subnet group.
', 'DBSubnetGroup$DBSubnetGroupDescription' => 'Provides the description of the DB subnet group.
', 'DBSubnetGroup$VpcId' => 'Provides the VpcId of the DB subnet group.
', 'DBSubnetGroup$SubnetGroupStatus' => 'Provides the status of the DB subnet group.
', 'DBSubnetGroup$DBSubnetGroupArn' => 'The Amazon Resource Name (ARN) for the DB subnet group.
', 'DBSubnetGroupMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The identifier for the source DB cluster, which can\'t be changed and which is unique to an Amazon Web Services Region.
', 'DeleteDBClusterEndpointMessage$DBClusterEndpointIdentifier' => 'The identifier associated with the custom endpoint. This parameter is stored as a lowercase string.
', 'DeleteDBClusterMessage$DBClusterIdentifier' => 'The DB cluster identifier for the DB cluster to be deleted. This parameter isn\'t case-sensitive.
Constraints:
Must match an existing DBClusterIdentifier.
The DB cluster snapshot identifier of the new DB cluster snapshot created when SkipFinalSnapshot is disabled.
If you specify this parameter and also skip the creation of a final DB cluster snapshot with the SkipFinalShapshot parameter, the request results in an error.
Constraints:
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
The name of the DB cluster parameter group.
Constraints:
Must be the name of an existing DB cluster parameter group.
You can\'t delete a default DB cluster parameter group.
Can\'t be associated with any DB clusters.
The identifier of the DB cluster snapshot to delete.
Constraints: Must be the name of an existing DB cluster snapshot in the available state.
The identifier for the source DB instance, which can\'t be changed and which is unique to an Amazon Web Services Region.
', 'DeleteDBInstanceAutomatedBackupMessage$DBInstanceAutomatedBackupsArn' => 'The Amazon Resource Name (ARN) of the automated backups to delete, for example, arn:aws:rds:us-east-1:123456789012:auto-backup:ab-L2IJCEXJP7XQ7HOJ4SIEXAMPLE.
This setting doesn\'t apply to RDS Custom.
', 'DeleteDBInstanceMessage$DBInstanceIdentifier' => 'The DB instance identifier for the DB instance to be deleted. This parameter isn\'t case-sensitive.
Constraints:
Must match the name of an existing DB instance.
The DBSnapshotIdentifier of the new DBSnapshot created when the SkipFinalSnapshot parameter is disabled.
If you enable this parameter and also enable SkipFinalShapshot, the command results in an error.
This setting doesn\'t apply to RDS Custom.
Constraints:
Must be 1 to 255 letters or numbers.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Can\'t be specified when deleting a read replica.
The name of the DB parameter group.
Constraints:
Must be the name of an existing DB parameter group
You can\'t delete a default DB parameter group
Can\'t be associated with any DB instances
The name of the DB proxy to delete.
', 'DeleteDBSecurityGroupMessage$DBSecurityGroupName' => 'The name of the DB security group to delete.
You can\'t delete the default DB security group.
Constraints:
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Must not be "Default"
The DB snapshot identifier.
Constraints: Must be the name of an existing DB snapshot in the available state.
The name of the database subnet group to delete.
You can\'t delete the default subnet group.
Constraints: Must match the name of an existing DBSubnetGroup. Must not be default.
Example: mydbsubnetgroup
The name of the RDS event notification subscription you want to delete.
', 'DeleteGlobalClusterMessage$GlobalClusterIdentifier' => 'The cluster identifier of the global database cluster being deleted.
', 'DeleteOptionGroupMessage$OptionGroupName' => 'The name of the option group to be deleted.
You can\'t delete default option groups.
The user-supplied identifier for the DB instance that contains the tenant database that you want to delete.
', 'DeleteTenantDatabaseMessage$TenantDBName' => 'The user-supplied name of the tenant database that you want to remove from your DB instance. Amazon RDS deletes the tenant database with this name. This parameter isn’t case-sensitive.
', 'DeleteTenantDatabaseMessage$FinalDBSnapshotIdentifier' => 'The DBSnapshotIdentifier of the new DBSnapshot created when the SkipFinalSnapshot parameter is disabled.
If you enable this parameter and also enable SkipFinalShapshot, the command results in an error.
The identifier of the DBProxy that is associated with the DBProxyTargetGroup.
The identifier of the DBProxyTargetGroup.
An optional pagination token provided by a previous DescribeBlueGreenDeployments request. If you specify this parameter, the response only includes records beyond the marker, up to the value specified by MaxRecords.
A pagination token that can be used in a later DescribeBlueGreenDeployments request.
The user-supplied certificate identifier. If this parameter is specified, information for only the identified certificate is returned. This parameter isn\'t case-sensitive.
Constraints:
Must match an existing CertificateIdentifier.
An optional pagination token provided by a previous DescribeCertificates request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The resource ID of the DB cluster that is the source of the automated backup. This parameter isn\'t case-sensitive.
', 'DescribeDBClusterAutomatedBackupsMessage$DBClusterIdentifier' => '(Optional) The user-supplied DB cluster identifier. If this parameter is specified, it must match the identifier of an existing DB cluster. It returns information from the specific DB cluster\'s automated backup. This parameter isn\'t case-sensitive.
', 'DescribeDBClusterAutomatedBackupsMessage$Marker' => 'The pagination token provided in the previous request. If this parameter is specified the response includes only records beyond the marker, up to MaxRecords.
The DB cluster identifier of the DB cluster to be described. This parameter is stored as a lowercase string.
Constraints:
Must contain from 1 to 63 alphanumeric characters or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-cluster1
If specified, this value is the backtrack identifier of the backtrack to be described.
Constraints:
Must contain a valid universally unique identifier (UUID). For more information about UUIDs, see Universally unique identifier.
Example: 123e4567-e89b-12d3-a456-426655440000
An optional pagination token provided by a previous DescribeDBClusterBacktracks request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The DB cluster identifier of the DB cluster associated with the endpoint. This parameter is stored as a lowercase string.
', 'DescribeDBClusterEndpointsMessage$DBClusterEndpointIdentifier' => 'The identifier of the endpoint to describe. This parameter is stored as a lowercase string.
', 'DescribeDBClusterEndpointsMessage$Marker' => 'An optional pagination token provided by a previous DescribeDBClusterEndpoints request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of a specific DB cluster parameter group to return details for.
Constraints:
If supplied, must match the name of an existing DBClusterParameterGroup.
An optional pagination token provided by a previous DescribeDBClusterParameterGroups request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of a specific DB cluster parameter group to return parameter details for.
Constraints:
If supplied, must match the name of an existing DBClusterParameterGroup.
A specific source to return parameters for.
Valid Values:
engine-default
system
user
An optional pagination token provided by a previous DescribeDBClusterParameters request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The identifier for the DB cluster snapshot to describe the attributes for.
', 'DescribeDBClusterSnapshotsMessage$DBClusterIdentifier' => 'The ID of the DB cluster to retrieve the list of DB cluster snapshots for. This parameter can\'t be used in conjunction with the DBClusterSnapshotIdentifier parameter. This parameter isn\'t case-sensitive.
Constraints:
If supplied, must match the identifier of an existing DBCluster.
A specific DB cluster snapshot identifier to describe. This parameter can\'t be used in conjunction with the DBClusterIdentifier parameter. This value is stored as a lowercase string.
Constraints:
If supplied, must match the identifier of an existing DBClusterSnapshot.
If this identifier is for an automated snapshot, the SnapshotType parameter must also be specified.
The type of DB cluster snapshots to be returned. You can specify one of the following values:
automated - Return all DB cluster snapshots that have been automatically taken by Amazon RDS for my Amazon Web Services account.
manual - Return all DB cluster snapshots that have been taken by my Amazon Web Services account.
shared - Return all manual DB cluster snapshots that have been shared to my Amazon Web Services account.
public - Return all DB cluster snapshots that have been marked as public.
If you don\'t specify a SnapshotType value, then both automated and manual DB cluster snapshots are returned. You can include shared DB cluster snapshots with these results by enabling the IncludeShared parameter. You can include public DB cluster snapshots with these results by enabling the IncludePublic parameter.
The IncludeShared and IncludePublic parameters don\'t apply for SnapshotType values of manual or automated. The IncludePublic parameter doesn\'t apply when SnapshotType is set to shared. The IncludeShared parameter doesn\'t apply when SnapshotType is set to public.
An optional pagination token provided by a previous DescribeDBClusterSnapshots request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
A specific DB cluster resource ID to describe.
', 'DescribeDBClustersMessage$DBClusterIdentifier' => 'The user-supplied DB cluster identifier or the Amazon Resource Name (ARN) of the DB cluster. If this parameter is specified, information for only the specific DB cluster is returned. This parameter isn\'t case-sensitive.
Constraints:
If supplied, must match an existing DB cluster identifier.
An optional pagination token provided by a previous DescribeDBClusters request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The database engine to return version details for.
Valid Values:
aurora-mysql
aurora-postgresql
custom-oracle-ee
custom-oracle-ee-cdb
custom-oracle-se2
custom-oracle-se2-cdb
db2-ae
db2-se
mariadb
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
A specific database engine version to return details for.
Example: 5.1.49
The name of a specific DB parameter group family to return details for.
Constraints:
If supplied, must match an existing DB parameter group family.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The resource ID of the DB instance that is the source of the automated backup. This parameter isn\'t case-sensitive.
', 'DescribeDBInstanceAutomatedBackupsMessage$DBInstanceIdentifier' => '(Optional) The user-supplied instance identifier. If this parameter is specified, it must match the identifier of an existing DB instance. It returns information from the specific DB instance\'s automated backup. This parameter isn\'t case-sensitive.
', 'DescribeDBInstanceAutomatedBackupsMessage$Marker' => 'The pagination token provided in the previous request. If this parameter is specified the response includes only records beyond the marker, up to MaxRecords.
The Amazon Resource Name (ARN) of the replicated automated backups, for example, arn:aws:rds:us-east-1:123456789012:auto-backup:ab-L2IJCEXJP7XQ7HOJ4SIEXAMPLE.
This setting doesn\'t apply to RDS Custom.
', 'DescribeDBInstancesMessage$DBInstanceIdentifier' => 'The user-supplied instance identifier or the Amazon Resource Name (ARN) of the DB instance. If this parameter is specified, information from only the specific DB instance is returned. This parameter isn\'t case-sensitive.
Constraints:
If supplied, must match the identifier of an existing DB instance.
An optional pagination token provided by a previous DescribeDBInstances request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the log file for the specified DB instance.
', 'DescribeDBLogFilesMessage$DBInstanceIdentifier' => 'The customer-assigned name of the DB instance that contains the log files you want to list.
Constraints:
Must match the identifier of an existing DBInstance.
Filters the available log files for log file names that contain the specified string.
', 'DescribeDBLogFilesMessage$Marker' => 'The pagination token provided in the previous request. If this parameter is specified the response includes only records beyond the marker, up to MaxRecords.
', 'DescribeDBLogFilesResponse$Marker' => 'A pagination token that can be used in a later DescribeDBLogFiles request.
The name of a specific DB parameter group to return details for.
Constraints:
If supplied, must match the name of an existing DBClusterParameterGroup.
An optional pagination token provided by a previous DescribeDBParameterGroups request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of a specific DB parameter group to return details for.
Constraints:
If supplied, must match the name of an existing DBParameterGroup.
The parameter types to return.
Default: All parameter types returned
Valid Values: user | system | engine-default
An optional pagination token provided by a previous DescribeDBParameters request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the DB proxy. If you omit this parameter, the output includes information about all DB proxies owned by your Amazon Web Services account ID.
', 'DescribeDBProxiesRequest$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The identifier of the DBProxy associated with the target group.
The identifier of the DBProxyTargetGroup to describe.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The identifier of the DBProxyTarget to describe.
The identifier of the DBProxyTargetGroup to describe.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The language that you choose to return the list of recommendations.
Valid values:
en
en_UK
de
es
fr
id
it
ja
ko
pt_BR
zh_TW
zh_CN
An optional pagination token provided by a previous DescribeDBRecommendations request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the DB security group to return details for.
', 'DescribeDBSecurityGroupsMessage$Marker' => 'An optional pagination token provided by a previous DescribeDBSecurityGroups request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
An optional pagination token provided by a previous DescribeDBShardGroups request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
A pagination token that can be used in a later DescribeDBClusters request.
The identifier for the DB snapshot to describe the attributes for.
', 'DescribeDBSnapshotTenantDatabasesMessage$DBInstanceIdentifier' => 'The ID of the DB instance used to create the DB snapshots. This parameter isn\'t case-sensitive.
Constraints:
If supplied, must match the identifier of an existing DBInstance.
The ID of a DB snapshot that contains the tenant databases to describe. This value is stored as a lowercase string.
Constraints:
If you specify this parameter, the value must match the ID of an existing DB snapshot.
If you specify an automatic snapshot, you must also specify SnapshotType.
The type of DB snapshots to be returned. You can specify one of the following values:
automated – All DB snapshots that have been automatically taken by Amazon RDS for my Amazon Web Services account.
manual – All DB snapshots that have been taken by my Amazon Web Services account.
shared – All manual DB snapshots that have been shared to my Amazon Web Services account.
public – All DB snapshots that have been marked as public.
awsbackup – All DB snapshots managed by the Amazon Web Services Backup service.
An optional pagination token provided by a previous DescribeDBSnapshotTenantDatabases request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
A specific DB resource identifier to describe.
', 'DescribeDBSnapshotsMessage$DBInstanceIdentifier' => 'The ID of the DB instance to retrieve the list of DB snapshots for. This parameter isn\'t case-sensitive.
Constraints:
If supplied, must match the identifier of an existing DBInstance.
A specific DB snapshot identifier to describe. This value is stored as a lowercase string.
Constraints:
If supplied, must match the identifier of an existing DBSnapshot.
If this identifier is for an automated snapshot, the SnapshotType parameter must also be specified.
The type of snapshots to be returned. You can specify one of the following values:
automated - Return all DB snapshots that have been automatically taken by Amazon RDS for my Amazon Web Services account.
manual - Return all DB snapshots that have been taken by my Amazon Web Services account.
shared - Return all manual DB snapshots that have been shared to my Amazon Web Services account.
public - Return all DB snapshots that have been marked as public.
awsbackup - Return the DB snapshots managed by the Amazon Web Services Backup service.
For information about Amazon Web Services Backup, see the Amazon Web Services Backup Developer Guide.
The awsbackup type does not apply to Aurora.
If you don\'t specify a SnapshotType value, then both automated and manual snapshots are returned. Shared and public DB snapshots are not included in the returned results by default. You can include shared snapshots with these results by enabling the IncludeShared parameter. You can include public snapshots with these results by enabling the IncludePublic parameter.
The IncludeShared and IncludePublic parameters don\'t apply for SnapshotType values of manual or automated. The IncludePublic parameter doesn\'t apply when SnapshotType is set to shared. The IncludeShared parameter doesn\'t apply when SnapshotType is set to public.
An optional pagination token provided by a previous DescribeDBSnapshots request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
A specific DB resource ID to describe.
', 'DescribeDBSubnetGroupsMessage$DBSubnetGroupName' => 'The name of the DB subnet group to return details for.
', 'DescribeDBSubnetGroupsMessage$Marker' => 'An optional pagination token provided by a previous DescribeDBSubnetGroups request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the DB cluster parameter group family to return engine parameter information for.
', 'DescribeEngineDefaultClusterParametersMessage$Marker' => 'An optional pagination token provided by a previous DescribeEngineDefaultClusterParameters request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the DB parameter group family.
Valid Values:
aurora-mysql5.7
aurora-mysql8.0
aurora-postgresql10
aurora-postgresql11
aurora-postgresql12
aurora-postgresql13
aurora-postgresql14
custom-oracle-ee-19
custom-oracle-ee-cdb-19
db2-ae
db2-se
mariadb10.2
mariadb10.3
mariadb10.4
mariadb10.5
mariadb10.6
mysql5.7
mysql8.0
oracle-ee-19
oracle-ee-cdb-19
oracle-ee-cdb-21
oracle-se2-19
oracle-se2-cdb-19
oracle-se2-cdb-21
postgres10
postgres11
postgres12
postgres13
postgres14
sqlserver-ee-11.0
sqlserver-ee-12.0
sqlserver-ee-13.0
sqlserver-ee-14.0
sqlserver-ee-15.0
sqlserver-ex-11.0
sqlserver-ex-12.0
sqlserver-ex-13.0
sqlserver-ex-14.0
sqlserver-ex-15.0
sqlserver-se-11.0
sqlserver-se-12.0
sqlserver-se-13.0
sqlserver-se-14.0
sqlserver-se-15.0
sqlserver-web-11.0
sqlserver-web-12.0
sqlserver-web-13.0
sqlserver-web-14.0
sqlserver-web-15.0
An optional pagination token provided by a previous DescribeEngineDefaultParameters request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The type of source that is generating the events. For RDS Proxy events, specify db-proxy.
Valid Values: db-instance | db-cluster | db-parameter-group | db-security-group | db-snapshot | db-cluster-snapshot | db-proxy
The name of the RDS event notification subscription you want to describe.
', 'DescribeEventSubscriptionsMessage$Marker' => 'An optional pagination token provided by a previous DescribeOrderableDBInstanceOptions request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords .
The identifier of the event source for which events are returned. If not specified, then all sources are included in the response.
Constraints:
If SourceIdentifier is supplied, SourceType must also be provided.
If the source type is a DB instance, a DBInstanceIdentifier value must be supplied.
If the source type is a DB cluster, a DBClusterIdentifier value must be supplied.
If the source type is a DB parameter group, a DBParameterGroupName value must be supplied.
If the source type is a DB security group, a DBSecurityGroupName value must be supplied.
If the source type is a DB snapshot, a DBSnapshotIdentifier value must be supplied.
If the source type is a DB cluster snapshot, a DBClusterSnapshotIdentifier value must be supplied.
If the source type is an RDS Proxy, a DBProxyName value must be supplied.
Can\'t end with a hyphen or contain two consecutive hyphens.
An optional pagination token provided by a previous DescribeEvents request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The identifier of the snapshot or cluster export task to be described.
', 'DescribeExportTasksMessage$SourceArn' => 'The Amazon Resource Name (ARN) of the snapshot or cluster exported to Amazon S3.
', 'DescribeExportTasksMessage$Marker' => 'An optional pagination token provided by a previous DescribeExportTasks request. If you specify this parameter, the response includes only records beyond the marker, up to the value specified by the MaxRecords parameter.
The user-supplied DB cluster identifier. If this parameter is specified, information from only the specific DB cluster is returned. This parameter isn\'t case-sensitive.
Constraints:
If supplied, must match an existing DBClusterIdentifier.
An optional pagination token provided by a previous DescribeGlobalClusters request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the engine to describe options for.
Valid Values:
db2-ae
db2-se
mariadb
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
If specified, filters the results to include only options for the specified major engine version.
', 'DescribeOptionGroupOptionsMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the option group to describe. Can\'t be supplied together with EngineName or MajorEngineVersion.
', 'DescribeOptionGroupsMessage$Marker' => 'An optional pagination token provided by a previous DescribeOptionGroups request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
A filter to only include option groups associated with this database engine.
Valid Values:
db2-ae
db2-se
mariadb
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
Filters the list of option groups to only include groups associated with a specific database engine version. If specified, then EngineName must also be specified.
', 'DescribeOrderableDBInstanceOptionsMessage$Engine' => 'The name of the database engine to describe DB instance options for.
Valid Values:
aurora-mysql
aurora-postgresql
custom-oracle-ee
custom-oracle-ee-cdb
custom-oracle-se2
custom-oracle-se2-cdb
db2-ae
db2-se
mariadb
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
A filter to include only the available options for the specified engine version.
', 'DescribeOrderableDBInstanceOptionsMessage$DBInstanceClass' => 'A filter to include only the available options for the specified DB instance class.
', 'DescribeOrderableDBInstanceOptionsMessage$LicenseModel' => 'A filter to include only the available options for the specified license model.
RDS Custom supports only the BYOL licensing model.
', 'DescribeOrderableDBInstanceOptionsMessage$AvailabilityZoneGroup' => 'The Availability Zone group associated with a Local Zone. Specify this parameter to retrieve available options for the Local Zones in the group.
Omit this parameter to show the available options in the specified Amazon Web Services Region.
This setting doesn\'t apply to RDS Custom DB instances.
', 'DescribeOrderableDBInstanceOptionsMessage$Marker' => 'An optional pagination token provided by a previous DescribeOrderableDBInstanceOptions request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The ARN of a resource to return pending maintenance actions for.
', 'DescribePendingMaintenanceActionsMessage$Marker' => 'An optional pagination token provided by a previous DescribePendingMaintenanceActions request. If this parameter is specified, the response includes only records beyond the marker, up to a number of records specified by MaxRecords.
The reserved DB instance identifier filter value. Specify this parameter to show only the reservation that matches the specified reservation ID.
', 'DescribeReservedDBInstancesMessage$ReservedDBInstancesOfferingId' => 'The offering identifier filter value. Specify this parameter to show only purchased reservations matching the specified offering identifier.
', 'DescribeReservedDBInstancesMessage$DBInstanceClass' => 'The DB instance class filter value. Specify this parameter to show only those reservations matching the specified DB instances class.
', 'DescribeReservedDBInstancesMessage$Duration' => 'The duration filter value, specified in years or seconds. Specify this parameter to show only reservations for this duration.
Valid Values: 1 | 3 | 31536000 | 94608000
The product description filter value. Specify this parameter to show only those reservations matching the specified product description.
', 'DescribeReservedDBInstancesMessage$OfferingType' => 'The offering type filter value. Specify this parameter to show only the available offerings matching the specified offering type.
Valid Values: "Partial Upfront" | "All Upfront" | "No Upfront"
The lease identifier filter value. Specify this parameter to show only the reservation that matches the specified lease ID.
Amazon Web Services Support might request the lease ID for an issue related to a reserved DB instance.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The offering identifier filter value. Specify this parameter to show only the available offering that matches the specified reservation identifier.
Example: 438012d3-4052-4cc7-b2e3-8d3372e0e706
The DB instance class filter value. Specify this parameter to show only the available offerings matching the specified DB instance class.
', 'DescribeReservedDBInstancesOfferingsMessage$Duration' => 'Duration filter value, specified in years or seconds. Specify this parameter to show only reservations for this duration.
Valid Values: 1 | 3 | 31536000 | 94608000
Product description filter value. Specify this parameter to show only the available offerings that contain the specified product description.
The results show offerings that partially match the filter value.
The offering type filter value. Specify this parameter to show only the available offerings matching the specified offering type.
Valid Values: "Partial Upfront" | "All Upfront" | "No Upfront"
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The source Amazon Web Services Region name. For example, us-east-1.
Constraints:
Must specify a valid Amazon Web Services Region name.
An optional pagination token provided by a previous DescribeSourceRegions request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The user-supplied DB instance identifier, which must match the identifier of an existing instance owned by the Amazon Web Services account. This parameter isn\'t case-sensitive.
', 'DescribeTenantDatabasesMessage$TenantDBName' => 'The user-supplied tenant database name, which must match the name of an existing tenant database on the specified DB instance owned by your Amazon Web Services account. This parameter isn’t case-sensitive.
', 'DescribeTenantDatabasesMessage$Marker' => 'An optional pagination token provided by a previous DescribeTenantDatabases request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The customer identifier or the ARN of your DB instance.
', 'DisableHttpEndpointRequest$ResourceArn' => 'The Amazon Resource Name (ARN) of the DB cluster.
', 'DisableHttpEndpointResponse$ResourceArn' => 'The ARN of the DB cluster.
', 'DocLink$Text' => 'The text with the link to documentation for the recommendation.
', 'DocLink$Url' => 'The URL for the documentation for the recommendation.
', 'DomainMembership$Domain' => 'The identifier of the Active Directory Domain.
', 'DomainMembership$Status' => 'The status of the Active Directory Domain membership for the DB instance or cluster. Values include joined, pending-join, failed, and so on.
The fully qualified domain name (FQDN) of the Active Directory Domain.
', 'DomainMembership$IAMRoleName' => 'The name of the IAM role used when making API calls to the Directory Service.
', 'DomainMembership$OU' => 'The Active Directory organizational unit for the DB instance or cluster.
', 'DomainMembership$AuthSecretArn' => 'The ARN for the Secrets Manager secret with the credentials for the user that\'s a member of the domain.
', 'DownloadDBLogFilePortionDetails$LogFileData' => 'Entries from the specified log file.
', 'DownloadDBLogFilePortionDetails$Marker' => 'A pagination token that can be used in a later DownloadDBLogFilePortion request.
The customer-assigned name of the DB instance that contains the log files you want to list.
Constraints:
Must match the identifier of an existing DBInstance.
The name of the log file to be downloaded.
', 'DownloadDBLogFilePortionMessage$Marker' => 'The pagination token provided in the previous request or "0". If the Marker parameter is specified the response includes only records beyond the marker until the end of the file or up to NumberOfLines.
', 'EC2SecurityGroup$Status' => 'Provides the status of the EC2 security group. Status can be "authorizing", "authorized", "revoking", and "revoked".
', 'EC2SecurityGroup$EC2SecurityGroupName' => 'Specifies the name of the EC2 security group.
', 'EC2SecurityGroup$EC2SecurityGroupId' => 'Specifies the id of the EC2 security group.
', 'EC2SecurityGroup$EC2SecurityGroupOwnerId' => 'Specifies the Amazon Web Services ID of the owner of the EC2 security group specified in the EC2SecurityGroupName field.
The Amazon Resource Name (ARN) of the DB cluster.
', 'EnableHttpEndpointResponse$ResourceArn' => 'The ARN of the DB cluster.
', 'EncryptionContextMap$key' => NULL, 'EncryptionContextMap$value' => NULL, 'Endpoint$Address' => 'Specifies the DNS address of the DB instance.
', 'Endpoint$HostedZoneId' => 'Specifies the ID that Amazon Route 53 assigns when you create a hosted zone.
', 'EngineDefaults$DBParameterGroupFamily' => 'Specifies the name of the DB parameter group family that the engine default parameters apply to.
', 'EngineDefaults$Marker' => 'An optional pagination token provided by a previous EngineDefaults request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords .
Provides the identifier for the source of the event.
', 'Event$Message' => 'Provides the text of this event.
', 'Event$SourceArn' => 'The Amazon Resource Name (ARN) for the event.
', 'EventCategoriesList$member' => NULL, 'EventCategoriesMap$SourceType' => 'The source type that the returned categories belong to
', 'EventSubscription$CustomerAwsId' => 'The Amazon Web Services customer account associated with the RDS event notification subscription.
', 'EventSubscription$CustSubscriptionId' => 'The RDS event notification subscription Id.
', 'EventSubscription$SnsTopicArn' => 'The topic ARN of the RDS event notification subscription.
', 'EventSubscription$Status' => 'The status of the RDS event notification subscription.
Constraints:
Can be one of the following: creating | modifying | deleting | active | no-permission | topic-not-exist
The status "no-permission" indicates that RDS no longer has permission to post to the SNS topic. The status "topic-not-exist" indicates that the topic was deleted after the subscription was created.
', 'EventSubscription$SubscriptionCreationTime' => 'The time the RDS event notification subscription was created.
', 'EventSubscription$SourceType' => 'The source type for the RDS event notification subscription.
', 'EventSubscription$EventSubscriptionArn' => 'The Amazon Resource Name (ARN) for the event subscription.
', 'EventSubscriptionsMessage$Marker' => 'An optional pagination token provided by a previous DescribeOrderableDBInstanceOptions request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
An optional pagination token provided by a previous Events request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
A unique identifier for the snapshot or cluster export task. This ID isn\'t an identifier for the Amazon S3 bucket where the data is exported.
', 'ExportTask$SourceArn' => 'The Amazon Resource Name (ARN) of the snapshot or cluster exported to Amazon S3.
', 'ExportTask$S3Bucket' => 'The Amazon S3 bucket where the snapshot or cluster is exported to.
', 'ExportTask$S3Prefix' => 'The Amazon S3 bucket prefix that is the file name and path of the exported data.
', 'ExportTask$IamRoleArn' => 'The name of the IAM role that is used to write to Amazon S3 when exporting a snapshot or cluster.
', 'ExportTask$KmsKeyId' => 'The key identifier of the Amazon Web Services KMS key that is used to encrypt the data when it\'s exported to Amazon S3. The KMS key identifier is its key ARN, key ID, alias ARN, or alias name. The IAM role used for the export must have encryption and decryption permissions to use this KMS key.
', 'ExportTask$Status' => 'The progress status of the export task. The status can be one of the following:
CANCELED
CANCELING
COMPLETE
FAILED
IN_PROGRESS
STARTING
The reason the export failed, if it failed.
', 'ExportTask$WarningMessage' => 'A warning about the snapshot or cluster export task.
', 'ExportTasksMessage$Marker' => 'A pagination token that can be used in a later DescribeExportTasks request. A marker is used for pagination to identify the location to begin output for the next response of DescribeExportTasks.
The identifier of the DB cluster to force a failover for. This parameter isn\'t case-sensitive.
Constraints:
Must match the identifier of an existing DB cluster.
The name of the DB instance to promote to the primary DB instance.
Specify the DB instance identifier for an Aurora Replica or a Multi-AZ readable standby in the DB cluster, for example mydbcluster-replica1.
This setting isn\'t supported for RDS for MySQL Multi-AZ DB clusters.
', 'FailoverState$FromDbClusterArn' => 'The Amazon Resource Name (ARN) of the Aurora DB cluster that is currently being demoted, and which is associated with this state.
', 'FailoverState$ToDbClusterArn' => 'The Amazon Resource Name (ARN) of the Aurora DB cluster that is currently being promoted, and which is associated with this state.
', 'FeatureNameList$member' => NULL, 'Filter$Name' => 'The name of the filter. Filter names are case-sensitive.
', 'FilterValueList$member' => NULL, 'GlobalCluster$GlobalClusterIdentifier' => 'Contains a user-supplied global database cluster identifier. This identifier is the unique key that identifies a global database cluster.
', 'GlobalCluster$GlobalClusterResourceId' => 'The Amazon Web Services Region-unique, immutable identifier for the global database cluster. This identifier is found in Amazon Web Services CloudTrail log entries whenever the Amazon Web Services KMS key for the DB cluster is accessed.
', 'GlobalCluster$GlobalClusterArn' => 'The Amazon Resource Name (ARN) for the global database cluster.
', 'GlobalCluster$Status' => 'Specifies the current state of this global database cluster.
', 'GlobalCluster$Engine' => 'The Aurora database engine used by the global database cluster.
', 'GlobalCluster$EngineVersion' => 'Indicates the database engine version.
', 'GlobalCluster$EngineLifecycleSupport' => 'The life cycle type for the global cluster.
For more information, see CreateGlobalCluster.
', 'GlobalCluster$DatabaseName' => 'The default database name within the new global database cluster.
', 'GlobalCluster$Endpoint' => 'The writer endpoint for the new global database cluster. This endpoint always points to the writer DB instance in the current primary cluster.
', 'GlobalClusterMember$DBClusterArn' => 'The Amazon Resource Name (ARN) for each Aurora DB cluster in the global cluster.
', 'GlobalClustersMessage$Marker' => 'An optional pagination token provided by a previous DescribeGlobalClusters request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The status of the IP range. Status can be "authorizing", "authorized", "revoking", and "revoked".
', 'IPRange$CIDRIP' => 'The IP range.
', 'Integration$KMSKeyId' => 'The Amazon Web Services Key Management System (Amazon Web Services KMS) key identifier for the key used to to encrypt the integration.
', 'IntegrationError$ErrorCode' => 'The error code associated with the integration.
', 'IntegrationError$ErrorMessage' => 'A message explaining the error.
', 'KeyList$member' => NULL, 'ListTagsForResourceMessage$ResourceName' => 'The Amazon RDS resource with tags to be listed. This value is an Amazon Resource Name (ARN). For information about creating an ARN, see Constructing an ARN for Amazon RDS in the Amazon RDS User Guide.
', 'LogTypeList$member' => NULL, 'MasterUserSecret$SecretArn' => 'The Amazon Resource Name (ARN) of the secret.
', 'MasterUserSecret$SecretStatus' => 'The status of the secret.
The possible status values include the following:
creating - The secret is being created.
active - The secret is available for normal use and rotation.
rotating - The secret is being rotated.
impaired - The secret can be used to access database credentials, but it can\'t be rotated. A secret might have this status if, for example, permissions are changed so that RDS can no longer access either the secret or the KMS key for the secret.
When a secret has this status, you can correct the condition that caused the status. Alternatively, modify the DB instance to turn off automatic management of database credentials, and then modify the DB instance again to turn on automatic management of database credentials.
The Amazon Web Services KMS key identifier that is used to encrypt the secret.
', 'Metric$Name' => 'The name of a metric.
', 'Metric$StatisticsDetails' => 'The details of different statistics for a metric. The description might contain markdown.
', 'MetricReference$Name' => 'The name of the metric reference.
', 'MinimumEngineVersionPerAllowedValue$AllowedValue' => 'The allowed value for an option setting.
', 'MinimumEngineVersionPerAllowedValue$MinimumEngineVersion' => 'The minimum DB engine version required for the allowed value.
', 'ModifyActivityStreamRequest$ResourceArn' => 'The Amazon Resource Name (ARN) of the RDS for Oracle or Microsoft SQL Server DB instance. For example, arn:aws:rds:us-east-1:12345667890:db:my-orcl-db.
The Amazon Web Services KMS key identifier for encryption of messages in the database activity stream.
', 'ModifyActivityStreamResponse$KinesisStreamName' => 'The name of the Amazon Kinesis data stream to be used for the database activity stream.
', 'ModifyCertificatesMessage$CertificateIdentifier' => 'The new default certificate identifier to override the current one with.
To determine the valid values, use the describe-certificates CLI command or the DescribeCertificates API operation.
The DB cluster identifier for the cluster being modified. This parameter isn\'t case-sensitive.
Constraints:
Must match the identifier of an existing DB cluster.
The action to take when the timeout is reached, either ForceApplyCapacityChange or RollbackCapacityChange.
ForceApplyCapacityChange, the default, sets the capacity to the specified value as soon as possible.
RollbackCapacityChange ignores the capacity change if a scaling point isn\'t found in the timeout period.
The identifier of the endpoint to modify. This parameter is stored as a lowercase string.
', 'ModifyDBClusterEndpointMessage$EndpointType' => 'The type of the endpoint. One of: READER, WRITER, ANY.
The DB cluster identifier for the cluster being modified. This parameter isn\'t case-sensitive.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Must match the identifier of an existing DB cluster.
The new DB cluster identifier for the DB cluster when renaming a DB cluster. This value is stored as a lowercase string.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
The first character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-cluster2
The name of the DB cluster parameter group to use for the DB cluster.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$MasterUserPassword' => 'The new password for the master database user.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Must contain from 8 to 41 characters.
Can contain any printable ASCII character except "/", """, or "@".
Can\'t be specified if ManageMasterUserPassword is turned on.
The option group to associate the DB cluster with.
DB clusters are associated with a default option group that can\'t be modified.
', 'ModifyDBClusterMessage$PreferredBackupWindow' => 'The daily time range during which automated backups are created if automated backups are enabled, using the BackupRetentionPeriod parameter.
The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region. To view the time blocks available, see Backup window in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Must be in the format hh24:mi-hh24:mi.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred maintenance window.
Must be at least 30 minutes.
The weekly time range during which system maintenance can occur, in Universal Coordinated Time (UTC).
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region, occurring on a random day of the week. To see the time blocks available, see Adjusting the Preferred DB Cluster Maintenance Window in the Amazon Aurora User Guide.
Constraints:
Must be in the format ddd:hh24:mi-ddd:hh24:mi.
Days must be one of Mon | Tue | Wed | Thu | Fri | Sat | Sun.
Must be in Universal Coordinated Time (UTC).
Must be at least 30 minutes.
The version number of the database engine to which you want to upgrade. Changing this parameter results in an outage. The change is applied during the next maintenance window unless ApplyImmediately is enabled.
If the cluster that you\'re modifying has one or more read replicas, all replicas must be running an engine version that\'s the same or later than the version you specify.
To list all of the available engine versions for Aurora MySQL, use the following command:
aws rds describe-db-engine-versions --engine aurora-mysql --query "DBEngineVersions[].EngineVersion"
To list all of the available engine versions for Aurora PostgreSQL, use the following command:
aws rds describe-db-engine-versions --engine aurora-postgresql --query "DBEngineVersions[].EngineVersion"
To list all of the available engine versions for RDS for MySQL, use the following command:
aws rds describe-db-engine-versions --engine mysql --query "DBEngineVersions[].EngineVersion"
To list all of the available engine versions for RDS for PostgreSQL, use the following command:
aws rds describe-db-engine-versions --engine postgres --query "DBEngineVersions[].EngineVersion"
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$DBInstanceParameterGroupName' => 'The name of the DB parameter group to apply to all instances of the DB cluster.
When you apply a parameter group using the DBInstanceParameterGroupName parameter, the DB cluster isn\'t rebooted automatically. Also, parameter changes are applied immediately rather than during the next maintenance window.
Valid for Cluster Type: Aurora DB clusters only
Default: The existing name setting
Constraints:
The DB parameter group must be in the same DB parameter group family as this DB cluster.
The DBInstanceParameterGroupName parameter is valid in combination with the AllowMajorVersionUpgrade parameter for a major version upgrade only.
The Active Directory directory ID to move the DB cluster to. Specify none to remove the cluster from its current domain. The domain must be created prior to this operation.
For more information, see Kerberos Authentication in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters only
', 'ModifyDBClusterMessage$DomainIAMRoleName' => 'The name of the IAM role to use when making API calls to the Directory Service.
Valid for Cluster Type: Aurora DB clusters only
', 'ModifyDBClusterMessage$DBClusterInstanceClass' => 'The compute and memory capacity of each DB instance in the Multi-AZ DB cluster, for example db.m6gd.xlarge. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines.
For the full list of DB instance classes and availability for your engine, see DB Instance Class in the Amazon RDS User Guide.
Valid for Cluster Type: Multi-AZ DB clusters only
', 'ModifyDBClusterMessage$StorageType' => 'The storage type to associate with the DB cluster.
For information on storage types for Aurora DB clusters, see Storage configurations for Amazon Aurora DB clusters. For information on storage types for Multi-AZ DB clusters, see Settings for creating Multi-AZ DB clusters.
When specified for a Multi-AZ DB cluster, a value for the Iops parameter is required.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values:
Aurora DB clusters - aurora | aurora-iopt1
Multi-AZ DB clusters - io1 | io2 | gp3
Default:
Aurora DB clusters - aurora
Multi-AZ DB clusters - io1
The Amazon Resource Name (ARN) for the IAM role that permits RDS to send Enhanced Monitoring metrics to Amazon CloudWatch Logs. An example is arn:aws:iam:123456789012:role/emaccess. For information on creating a monitoring role, see To create an IAM role for Amazon RDS Enhanced Monitoring in the Amazon RDS User Guide.
If MonitoringInterval is set to a value other than 0, supply a MonitoringRoleArn value.
Valid for Cluster Type: Multi-AZ DB clusters only
', 'ModifyDBClusterMessage$PerformanceInsightsKMSKeyId' => 'The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you don\'t specify a value for PerformanceInsightsKMSKeyId, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$NetworkType' => 'The network type of the DB cluster.
The network type is determined by the DBSubnetGroup specified for the DB cluster. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters only
Valid Values: IPV4 | DUAL
The Amazon Web Services KMS key identifier to encrypt a secret that is automatically generated and managed in Amazon Web Services Secrets Manager.
This setting is valid only if both of the following conditions are met:
The DB cluster doesn\'t manage the master user password in Amazon Web Services Secrets Manager.
If the DB cluster already manages the master user password in Amazon Web Services Secrets Manager, you can\'t change the KMS key that is used to encrypt the secret.
You are turning on ManageMasterUserPassword to manage the master user password in Amazon Web Services Secrets Manager.
If you are turning on ManageMasterUserPassword and don\'t specify MasterUserSecretKmsKeyId, then the aws/secretsmanager KMS key is used to encrypt the secret. If the secret is in a different Amazon Web Services account, then you can\'t use the aws/secretsmanager KMS key to encrypt the secret, and you must use a customer managed KMS key.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$EngineMode' => 'The DB engine mode of the DB cluster, either provisioned or serverless.
The DB engine mode can be modified only from serverless to provisioned.
For more information, see CreateDBCluster.
Valid for Cluster Type: Aurora DB clusters only
', 'ModifyDBClusterMessage$CACertificateIdentifier' => 'The CA certificate identifier to use for the DB cluster\'s server certificate.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide.
Valid for Cluster Type: Multi-AZ DB clusters
', 'ModifyDBClusterParameterGroupMessage$DBClusterParameterGroupName' => 'The name of the DB cluster parameter group to modify.
', 'ModifyDBClusterSnapshotAttributeMessage$DBClusterSnapshotIdentifier' => 'The identifier for the DB cluster snapshot to modify the attributes for.
', 'ModifyDBClusterSnapshotAttributeMessage$AttributeName' => 'The name of the DB cluster snapshot attribute to modify.
To manage authorization for other Amazon Web Services accounts to copy or restore a manual DB cluster snapshot, set this value to restore.
To view the list of attributes available to modify, use the DescribeDBClusterSnapshotAttributes API operation.
The identifier of DB instance to modify. This value is stored as a lowercase string.
Constraints:
Must match the identifier of an existing DB instance.
The new compute and memory capacity of the DB instance, for example db.m4.large. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines. For the full list of DB instance classes, and availability for your engine, see DB Instance Class in the Amazon RDS User Guide or Aurora DB instance classes in the Amazon Aurora User Guide. For RDS Custom, see DB instance class support for RDS Custom for Oracle and DB instance class support for RDS Custom for SQL Server.
If you modify the DB instance class, an outage occurs during the change. The change is applied during the next maintenance window, unless you specify ApplyImmediately in your request.
Default: Uses existing setting
Constraints:
If you are modifying the DB instance class and upgrading the engine version at the same time, the currently running engine version must be supported on the specified DB instance class. Otherwise, the operation returns an error. In this case, first run the operation to upgrade the engine version, and then run it again to modify the DB instance class.
The new DB subnet group for the DB instance. You can use this parameter to move your DB instance to a different VPC. If your DB instance isn\'t in a VPC, you can also use this parameter to move your DB instance into a VPC. For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
Changing the subnet group causes an outage during the change. The change is applied during the next maintenance window, unless you enable ApplyImmediately.
This setting doesn\'t apply to RDS Custom DB instances.
Constraints:
If supplied, must match existing DB subnet group.
Example: mydbsubnetgroup
The new password for the master user.
Changing this parameter doesn\'t result in an outage and the change is asynchronously applied as soon as possible. Between the time of the request and the completion of the request, the MasterUserPassword element exists in the PendingModifiedValues element of the operation response.
Amazon RDS API operations never return the password, so this operation provides a way to regain access to a primary instance user if the password is lost. This includes restoring privileges that might have been accidentally revoked.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora (The password for the master user is managed by the DB cluster. For more information, see ModifyDBCluster.)
RDS Custom
Default: Uses existing setting
Constraints:
Can\'t be specified if ManageMasterUserPassword is turned on.
Can include any printable ASCII character except "/", """, or "@". For RDS for Oracle, can\'t include the "&" (ampersand) or the "\'" (single quotes) character.
Length Constraints:
RDS for Db2 - Must contain from 8 to 255 characters.
RDS for MariaDB - Must contain from 8 to 41 characters.
RDS for Microsoft SQL Server - Must contain from 8 to 128 characters.
RDS for MySQL - Must contain from 8 to 41 characters.
RDS for Oracle - Must contain from 8 to 30 characters.
RDS for PostgreSQL - Must contain from 8 to 128 characters.
The name of the DB parameter group to apply to the DB instance.
Changing this setting doesn\'t result in an outage. The parameter group name itself is changed immediately, but the actual parameter changes are not applied until you reboot the instance without failover. In this case, the DB instance isn\'t rebooted automatically, and the parameter changes aren\'t applied during the next maintenance window. However, if you modify dynamic parameters in the newly associated DB parameter group, these changes are applied immediately without a reboot.
This setting doesn\'t apply to RDS Custom DB instances.
Default: Uses existing setting
Constraints:
Must be in the same DB parameter group family as the DB instance.
The daily time range during which automated backups are created if automated backups are enabled, as determined by the BackupRetentionPeriod parameter. Changing this parameter doesn\'t result in an outage and the change is asynchronously applied as soon as possible. The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region. For more information, see Backup window in the Amazon RDS User Guide.
This setting doesn\'t apply to Amazon Aurora DB instances. The daily time range for creating automated backups is managed by the DB cluster. For more information, see ModifyDBCluster.
Constraints:
Must be in the format hh24:mi-hh24:mi.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred maintenance window.
Must be at least 30 minutes.
The weekly time range during which system maintenance can occur, which might result in an outage. Changing this parameter doesn\'t result in an outage, except in the following situation, and the change is asynchronously applied as soon as possible. If there are pending actions that cause a reboot, and the maintenance window is changed to include the current time, then changing this parameter causes a reboot of the DB instance. If you change this window to the current time, there must be at least 30 minutes between the current time and end of the window to ensure pending changes are applied.
For more information, see Amazon RDS Maintenance Window in the Amazon RDS User Guide.
Default: Uses existing setting
Constraints:
Must be in the format ddd:hh24:mi-ddd:hh24:mi.
The day values must be mon | tue | wed | thu | fri | sat | sun.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred backup window.
Must be at least 30 minutes.
The version number of the database engine to upgrade to. Changing this parameter results in an outage and the change is applied during the next maintenance window unless the ApplyImmediately parameter is enabled for this request.
For major version upgrades, if a nondefault DB parameter group is currently in use, a new DB parameter group in the DB parameter group family for the new engine version must be specified. The new DB parameter group can be the default for that DB parameter group family.
If you specify only a major version, Amazon RDS updates the DB instance to the default minor version if the current minor version is lower. For information about valid engine versions, see CreateDBInstance, or call DescribeDBEngineVersions.
If the instance that you\'re modifying is acting as a read replica, the engine version that you specify must be the same or higher than the version that the source DB instance or cluster is running.
In RDS Custom for Oracle, this parameter is supported for read replicas only if they are in the PATCH_DB_FAILURE lifecycle.
Constraints:
If you are upgrading the engine version and modifying the DB instance class at the same time, the currently running engine version must be supported on the specified DB instance class. Otherwise, the operation returns an error. In this case, first run the operation to upgrade the engine version, and then run it again to modify the DB instance class.
The license model for the DB instance.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
Valid Values:
RDS for Db2 - bring-your-own-license
RDS for MariaDB - general-public-license
RDS for Microsoft SQL Server - license-included
RDS for MySQL - general-public-license
RDS for Oracle - bring-your-own-license | license-included
RDS for PostgreSQL - postgresql-license
The option group to associate the DB instance with.
Changing this parameter doesn\'t result in an outage, with one exception. If the parameter change results in an option group that enables OEM, it can cause a brief period, lasting less than a second, during which new connections are rejected but existing connections aren\'t interrupted.
The change is applied during the next maintenance window unless the ApplyImmediately parameter is enabled for this request.
Permanent options, such as the TDE option for Oracle Advanced Security TDE, can\'t be removed from an option group, and that option group can\'t be removed from a DB instance after it is associated with a DB instance.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$NewDBInstanceIdentifier' => 'The new identifier for the DB instance when renaming a DB instance. When you change the DB instance identifier, an instance reboot occurs immediately if you enable ApplyImmediately, or will occur during the next maintenance window if you disable ApplyImmediately. This value is stored as a lowercase string.
This setting doesn\'t apply to RDS Custom DB instances.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
The first character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: mydbinstance
The storage type to associate with the DB instance.
If you specify io1, io2, or gp3 you must also include a value for the Iops parameter.
If you choose to migrate your DB instance from using standard storage to using Provisioned IOPS, or from using Provisioned IOPS to using standard storage, the process can take time. The duration of the migration depends on several factors such as database load, storage size, storage type (standard or Provisioned IOPS), amount of IOPS provisioned (if any), and the number of prior scale storage operations. Typical migration times are under 24 hours, but the process can take up to several days in some cases. During the migration, the DB instance is available for use, but might experience performance degradation. While the migration takes place, nightly backups for the instance are suspended. No other Amazon RDS operations can take place for the instance, including modifying the instance, rebooting the instance, deleting the instance, creating a read replica for the instance, and creating a DB snapshot of the instance.
Valid Values: gp2 | gp3 | io1 | io2 | standard
Default: io1, if the Iops parameter is specified. Otherwise, gp2.
The ARN from the key store with which to associate the instance for TDE encryption.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$TdeCredentialPassword' => 'The password for the given ARN from the key store in order to access the device.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$CACertificateIdentifier' => 'The CA certificate identifier to use for the DB instance\'s server certificate.
This setting doesn\'t apply to RDS Custom DB instances.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'ModifyDBInstanceMessage$Domain' => 'The Active Directory directory ID to move the DB instance to. Specify none to remove the instance from its current domain. You must create the domain before this operation. Currently, you can create only Db2, MySQL, Microsoft SQL Server, Oracle, and PostgreSQL DB instances in an Active Directory Domain.
For more information, see Kerberos Authentication in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$DomainFqdn' => 'The fully qualified domain name (FQDN) of an Active Directory domain.
Constraints:
Can\'t be longer than 64 characters.
Example: mymanagedADtest.mymanagedAD.mydomain
The Active Directory organizational unit for your DB instance to join.
Constraints:
Must be in the distinguished name format.
Can\'t be longer than 64 characters.
Example: OU=mymanagedADtestOU,DC=mymanagedADtest,DC=mymanagedAD,DC=mydomain
The ARN for the Secrets Manager secret with the credentials for the user joining the domain.
Example: arn:aws:secretsmanager:region:account-number:secret:myselfmanagedADtestsecret-123456
The ARN for the IAM role that permits RDS to send enhanced monitoring metrics to Amazon CloudWatch Logs. For example, arn:aws:iam:123456789012:role/emaccess. For information on creating a monitoring role, see To create an IAM role for Amazon RDS Enhanced Monitoring in the Amazon RDS User Guide.
If MonitoringInterval is set to a value other than 0, supply a MonitoringRoleArn value.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$DomainIAMRoleName' => 'The name of the IAM role to use when making API calls to the Directory Service.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$PerformanceInsightsKMSKeyId' => 'The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you don\'t specify a value for PerformanceInsightsKMSKeyId, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$NetworkType' => 'The network type of the DB instance.
The network type is determined by the DBSubnetGroup specified for the DB instance. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
Valid Values: IPV4 | DUAL
The Amazon Web Services KMS key identifier to encrypt a secret that is automatically generated and managed in Amazon Web Services Secrets Manager.
This setting is valid only if both of the following conditions are met:
The DB instance doesn\'t manage the master user password in Amazon Web Services Secrets Manager.
If the DB instance already manages the master user password in Amazon Web Services Secrets Manager, you can\'t change the KMS key used to encrypt the secret.
You are turning on ManageMasterUserPassword to manage the master user password in Amazon Web Services Secrets Manager.
If you are turning on ManageMasterUserPassword and don\'t specify MasterUserSecretKmsKeyId, then the aws/secretsmanager KMS key is used to encrypt the secret. If the secret is in a different Amazon Web Services account, then you can\'t use the aws/secretsmanager KMS key to encrypt the secret, and you must use a customer managed KMS key.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
', 'ModifyDBInstanceMessage$Engine' => 'The target Oracle DB engine when you convert a non-CDB to a CDB. This intermediate step is necessary to upgrade an Oracle Database 19c non-CDB to an Oracle Database 21c CDB.
Note the following requirements:
Make sure that you specify oracle-ee-cdb or oracle-se2-cdb.
Make sure that your DB engine runs Oracle Database 19c with an April 2021 or later RU.
Note the following limitations:
You can\'t convert a CDB to a non-CDB.
You can\'t convert a replica database.
You can\'t convert a non-CDB to a CDB and upgrade the engine version in the same command.
You can\'t convert the existing custom parameter or option group when it has options or parameters that are permanent or persistent. In this situation, the DB instance reverts to the default option and parameter group. To avoid reverting to the default, specify a new parameter group with --db-parameter-group-name and a new option group with --option-group-name.
The name of the DB parameter group.
Constraints:
If supplied, must match the name of an existing DBParameterGroup.
The identifier for the DBProxy to modify.
The new identifier for the DBProxy. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens; it can\'t end with a hyphen or contain two consecutive hyphens.
The Amazon Resource Name (ARN) of the IAM role that the proxy uses to access secrets in Amazon Web Services Secrets Manager.
', 'ModifyDBProxyTargetGroupRequest$TargetGroupName' => 'The name of the target group to modify.
', 'ModifyDBProxyTargetGroupRequest$DBProxyName' => 'The name of the proxy.
', 'ModifyDBProxyTargetGroupRequest$NewName' => 'The new name for the modified DBProxyTarget. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens; it can\'t end with a hyphen or contain two consecutive hyphens.
The identifier of the recommendation to update.
', 'ModifyDBRecommendationMessage$Locale' => 'The language of the modified recommendation.
', 'ModifyDBRecommendationMessage$Status' => 'The recommendation status to update.
Valid values:
active
dismissed
The identifier for the DB snapshot to modify the attributes for.
', 'ModifyDBSnapshotAttributeMessage$AttributeName' => 'The name of the DB snapshot attribute to modify.
To manage authorization for other Amazon Web Services accounts to copy or restore a manual DB snapshot, set this value to restore.
To view the list of attributes available to modify, use the DescribeDBSnapshotAttributes API operation.
The identifier of the DB snapshot to modify.
', 'ModifyDBSnapshotMessage$EngineVersion' => 'The engine version to upgrade the DB snapshot to.
The following are the database engines and engine versions that are available when you upgrade a DB snapshot.
MySQL
For the list of engine versions that are available for upgrading a DB snapshot, see Upgrading a MySQL DB snapshot engine version in the Amazon RDS User Guide.
Oracle
19.0.0.0.ru-2022-01.rur-2022-01.r1 (supported for 12.2.0.1 DB snapshots)
19.0.0.0.ru-2022-07.rur-2022-07.r1 (supported for 12.1.0.2 DB snapshots)
12.1.0.2.v8 (supported for 12.1.0.1 DB snapshots)
11.2.0.4.v12 (supported for 11.2.0.2 DB snapshots)
11.2.0.4.v11 (supported for 11.2.0.3 DB snapshots)
PostgreSQL
For the list of engine versions that are available for upgrading a DB snapshot, see Upgrading a PostgreSQL DB snapshot engine version in the Amazon RDS User Guide.
', 'ModifyDBSnapshotMessage$OptionGroupName' => 'The option group to identify with the upgraded DB snapshot.
You can specify this parameter when you upgrade an Oracle DB snapshot. The same option group considerations apply when upgrading a DB snapshot as when upgrading a DB instance. For more information, see Option group considerations in the Amazon RDS User Guide.
', 'ModifyDBSubnetGroupMessage$DBSubnetGroupName' => 'The name for the DB subnet group. This value is stored as a lowercase string. You can\'t modify the default subnet group.
Constraints: Must match the name of an existing DBSubnetGroup. Must not be default.
Example: mydbsubnetgroup
The description for the DB subnet group.
', 'ModifyEventSubscriptionMessage$SubscriptionName' => 'The name of the RDS event notification subscription.
', 'ModifyEventSubscriptionMessage$SnsTopicArn' => 'The Amazon Resource Name (ARN) of the SNS topic created for event notification. The ARN is created by Amazon SNS when you create a topic and subscribe to it.
', 'ModifyEventSubscriptionMessage$SourceType' => 'The type of source that is generating the events. For example, if you want to be notified of events generated by a DB instance, you would set this parameter to db-instance. For RDS Proxy events, specify db-proxy. If this value isn\'t specified, all events are returned.
Valid Values: db-instance | db-cluster | db-parameter-group | db-security-group | db-snapshot | db-cluster-snapshot | db-proxy | zero-etl | custom-engine-version | blue-green-deployment
The cluster identifier for the global cluster to modify. This parameter isn\'t case-sensitive.
Constraints:
Must match the identifier of an existing global database cluster.
The new cluster identifier for the global database cluster. This value is stored as a lowercase string.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
The first character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-cluster2
The version number of the database engine to which you want to upgrade.
To list all of the available engine versions for aurora-mysql (for MySQL-based Aurora global databases), use the following command:
aws rds describe-db-engine-versions --engine aurora-mysql --query \'*[]|[?SupportsGlobalDatabases == `true`].[EngineVersion]\'
To list all of the available engine versions for aurora-postgresql (for PostgreSQL-based Aurora global databases), use the following command:
aws rds describe-db-engine-versions --engine aurora-postgresql --query \'*[]|[?SupportsGlobalDatabases == `true`].[EngineVersion]\'
The name of the option group to be modified.
Permanent options, such as the TDE option for Oracle Advanced Security TDE, can\'t be removed from an option group, and that option group can\'t be removed from a DB instance once it is associated with a DB instance
', 'ModifyTenantDatabaseMessage$DBInstanceIdentifier' => 'The identifier of the DB instance that contains the tenant database that you are modifying. This parameter isn\'t case-sensitive.
Constraints:
Must match the identifier of an existing DB instance.
The user-supplied name of the tenant database that you want to modify. This parameter isn’t case-sensitive.
Constraints:
Must match the identifier of an existing tenant database.
The new name of the tenant database when renaming a tenant database. This parameter isn’t case-sensitive.
Constraints:
Can\'t be the string null or any other reserved word.
Can\'t be longer than 8 characters.
The name of the option.
', 'Option$OptionDescription' => 'The description of the option.
', 'Option$OptionVersion' => 'The version of the option.
', 'OptionConfiguration$OptionName' => 'The configuration of options to include in a group.
', 'OptionConfiguration$OptionVersion' => 'The version for the option.
', 'OptionGroup$OptionGroupName' => 'Specifies the name of the option group.
', 'OptionGroup$OptionGroupDescription' => 'Provides a description of the option group.
', 'OptionGroup$EngineName' => 'Indicates the name of the engine that this option group can be applied to.
', 'OptionGroup$MajorEngineVersion' => 'Indicates the major engine version associated with this option group.
', 'OptionGroup$VpcId' => 'If AllowsVpcAndNonVpcInstanceMemberships is false, this field is blank. If AllowsVpcAndNonVpcInstanceMemberships is true and this field is blank, then this option group can be applied to both VPC and non-VPC instances. If this field contains a value, then this option group can only be applied to instances that are in the VPC indicated by this field.
Specifies the Amazon Resource Name (ARN) for the option group.
', 'OptionGroup$SourceOptionGroup' => 'Specifies the name of the option group from which this option group is copied.
', 'OptionGroup$SourceAccountId' => 'Specifies the Amazon Web Services account ID for the option group from which this option group is copied.
', 'OptionGroupMembership$OptionGroupName' => 'The name of the option group that the instance belongs to.
', 'OptionGroupMembership$Status' => 'The status of the DB instance\'s option group membership. Valid values are: in-sync, pending-apply, pending-removal, pending-maintenance-apply, pending-maintenance-removal, applying, removing, and failed.
The name of the option.
', 'OptionGroupOption$Description' => 'The description of the option.
', 'OptionGroupOption$EngineName' => 'The name of the engine that this option can be applied to.
', 'OptionGroupOption$MajorEngineVersion' => 'Indicates the major engine version that the option is available for.
', 'OptionGroupOption$MinimumRequiredMinorEngineVersion' => 'The minimum required engine version for the option to be applied.
', 'OptionGroupOptionSetting$SettingName' => 'The name of the option group option.
', 'OptionGroupOptionSetting$SettingDescription' => 'The description of the option group option.
', 'OptionGroupOptionSetting$DefaultValue' => 'The default value for the option group option.
', 'OptionGroupOptionSetting$ApplyType' => 'The DB engine specific parameter type for the option group option.
', 'OptionGroupOptionSetting$AllowedValues' => 'Indicates the acceptable values for the option group option.
', 'OptionGroupOptionsMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the option that has settings that you can set.
', 'OptionSetting$Value' => 'The current value of the option setting.
', 'OptionSetting$DefaultValue' => 'The default value of the option setting.
', 'OptionSetting$Description' => 'The description of the option setting.
', 'OptionSetting$ApplyType' => 'The DB engine specific parameter type.
', 'OptionSetting$DataType' => 'The data type of the option setting.
', 'OptionSetting$AllowedValues' => 'The allowed values of the option setting.
', 'OptionVersion$Version' => 'The version of the option.
', 'OptionsConflictsWith$member' => NULL, 'OptionsDependedOn$member' => NULL, 'OrderableDBInstanceOption$Engine' => 'The engine type of a DB instance.
', 'OrderableDBInstanceOption$EngineVersion' => 'The engine version of a DB instance.
', 'OrderableDBInstanceOption$DBInstanceClass' => 'The DB instance class for a DB instance.
', 'OrderableDBInstanceOption$LicenseModel' => 'The license model for a DB instance.
', 'OrderableDBInstanceOption$AvailabilityZoneGroup' => 'The Availability Zone group for a DB instance.
', 'OrderableDBInstanceOption$StorageType' => 'The storage type for a DB instance.
', 'OrderableDBInstanceOptionsMessage$Marker' => 'An optional pagination token provided by a previous OrderableDBInstanceOptions request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The Amazon Resource Name (ARN) of the Outpost.
', 'Parameter$ParameterName' => 'The name of the parameter.
', 'Parameter$ParameterValue' => 'The value of the parameter.
', 'Parameter$Description' => 'Provides a description of the parameter.
', 'Parameter$Source' => 'The source of the parameter value.
', 'Parameter$ApplyType' => 'Specifies the engine specific parameters type.
', 'Parameter$DataType' => 'Specifies the valid data type for the parameter.
', 'Parameter$AllowedValues' => 'Specifies the valid range of values for the parameter.
', 'Parameter$MinimumEngineVersion' => 'The earliest engine version to which the parameter can apply.
', 'PendingMaintenanceAction$Action' => 'The type of pending maintenance action that is available for the resource.
For more information about maintenance actions, see Maintaining a DB instance.
Valid Values:
ca-certificate-rotation
db-upgrade
hardware-maintenance
os-upgrade
system-update
For more information about these actions, see Maintenance actions for Amazon Aurora or Maintenance actions for Amazon RDS.
', 'PendingMaintenanceAction$OptInStatus' => 'Indicates the type of opt-in request that has been received for the resource.
', 'PendingMaintenanceAction$Description' => 'A description providing more detail about the maintenance action.
', 'PendingMaintenanceActionsMessage$Marker' => 'An optional pagination token provided by a previous DescribePendingMaintenanceActions request. If this parameter is specified, the response includes only records beyond the marker, up to a number of records specified by MaxRecords.
The name of the compute and memory capacity class for the DB instance.
', 'PendingModifiedValues$MasterUserPassword' => 'The master credentials for the DB instance.
', 'PendingModifiedValues$EngineVersion' => 'The database engine version.
', 'PendingModifiedValues$LicenseModel' => 'The license model for the DB instance.
Valid values: license-included | bring-your-own-license | general-public-license
The database identifier for the DB instance.
', 'PendingModifiedValues$StorageType' => 'The storage type of the DB instance.
', 'PendingModifiedValues$CACertificateIdentifier' => 'The identifier of the CA certificate for the DB instance.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'PendingModifiedValues$DBSubnetGroupName' => 'The DB subnet group for the DB instance.
', 'PendingModifiedValues$Engine' => 'The database engine of the DB instance.
', 'PerformanceInsightsMetricDimensionGroup$Group' => 'The available dimension groups for Performance Insights metric type.
', 'PerformanceInsightsMetricQuery$Metric' => 'The name of a Performance Insights metric to be measured.
Valid Values:
db.load.avg - A scaled representation of the number of active sessions for the database engine.
db.sampledload.avg - The raw number of active sessions for the database engine.
The counter metrics listed in Performance Insights operating system counters in the Amazon Aurora User Guide.
If the number of active sessions is less than an internal Performance Insights threshold, db.load.avg and db.sampledload.avg are the same value. If the number of active sessions is greater than the internal threshold, Performance Insights samples the active sessions, with db.load.avg showing the scaled values, db.sampledload.avg showing the raw values, and db.sampledload.avg less than db.load.avg. For most use cases, you can query db.load.avg only.
The analysis of the performance issue. The information might contain markdown.
', 'ProcessorFeature$Name' => 'The name of the processor feature. Valid names are coreCount and threadsPerCore.
The value of a processor feature.
', 'PromoteReadReplicaDBClusterMessage$DBClusterIdentifier' => 'The identifier of the DB cluster read replica to promote. This parameter isn\'t case-sensitive.
Constraints:
Must match the identifier of an existing DB cluster read replica.
Example: my-cluster-replica1
The DB instance identifier. This value is stored as a lowercase string.
Constraints:
Must match the identifier of an existing read replica DB instance.
Example: mydbinstance
The daily time range during which automated backups are created if automated backups are enabled, using the BackupRetentionPeriod parameter.
The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region. To see the time blocks available, see Adjusting the Preferred Maintenance Window in the Amazon RDS User Guide.
Constraints:
Must be in the format hh24:mi-hh24:mi.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred maintenance window.
Must be at least 30 minutes.
The ID of the Reserved DB instance offering to purchase.
Example: 438012d3-4052-4cc7-b2e3-8d3372e0e706
', 'PurchaseReservedDBInstancesOfferingMessage$ReservedDBInstanceId' => 'Customer-specified identifier to track this reservation.
Example: myreservationID
', 'RdsCustomClusterConfiguration$InterconnectSubnetId' => 'Reserved for future use.
', 'RdsCustomClusterConfiguration$TransitGatewayMulticastDomainId' => 'Reserved for future use.
', 'ReadReplicaDBClusterIdentifierList$member' => NULL, 'ReadReplicaDBInstanceIdentifierList$member' => NULL, 'ReadReplicaIdentifierList$member' => NULL, 'ReadersArnList$member' => NULL, 'RebootDBClusterMessage$DBClusterIdentifier' => 'The DB cluster identifier. This parameter is stored as a lowercase string.
Constraints:
Must match the identifier of an existing DBCluster.
The DB instance identifier. This parameter is stored as a lowercase string.
Constraints:
Must match the identifier of an existing DBInstance.
The unique identifier of the recommended action.
', 'RecommendedAction$Title' => 'A short description to summarize the action. The description might contain markdown.
', 'RecommendedAction$Description' => 'A detailed description of the action. The description might contain markdown.
', 'RecommendedAction$Operation' => 'An API operation for the action.
', 'RecommendedAction$Status' => 'The status of the action.
ready
applied
scheduled
resolved
The key of the parameter to use with the RecommendedAction API operation.
The value of the parameter to use with the RecommendedAction API operation.
A unique identifier of the updated recommendation action.
', 'RecommendedActionUpdate$Status' => 'The status of the updated recommendation action.
applied
scheduled
The frequency of the recurring charge.
', 'RegisterDBProxyTargetsRequest$DBProxyName' => 'The identifier of the DBProxy that is associated with the DBProxyTargetGroup.
The identifier of the DBProxyTargetGroup.
The cluster identifier to detach from the Aurora global database cluster.
', 'RemoveFromGlobalClusterMessage$DbClusterIdentifier' => 'The Amazon Resource Name (ARN) identifying the cluster that was detached from the Aurora global database cluster.
', 'RemoveRoleFromDBClusterMessage$DBClusterIdentifier' => 'The name of the DB cluster to disassociate the IAM role from.
', 'RemoveRoleFromDBClusterMessage$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role to disassociate from the Aurora DB cluster, for example arn:aws:iam::123456789012:role/AuroraAccessRole.
The name of the feature for the DB cluster that the IAM role is to be disassociated from. For information about supported feature names, see DBEngineVersion.
', 'RemoveRoleFromDBInstanceMessage$DBInstanceIdentifier' => 'The name of the DB instance to disassociate the IAM role from.
', 'RemoveRoleFromDBInstanceMessage$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role to disassociate from the DB instance, for example, arn:aws:iam::123456789012:role/AccessRole.
The name of the feature for the DB instance that the IAM role is to be disassociated from. For information about supported feature names, see DBEngineVersion.
The name of the RDS event notification subscription you want to remove a source identifier from.
', 'RemoveSourceIdentifierFromSubscriptionMessage$SourceIdentifier' => 'The source identifier to be removed from the subscription, such as the DB instance identifier for a DB instance or the name of a security group.
', 'RemoveTagsFromResourceMessage$ResourceName' => 'The Amazon RDS resource that the tags are removed from. This value is an Amazon Resource Name (ARN). For information about creating an ARN, see Constructing an ARN for Amazon RDS in the Amazon RDS User Guide.
', 'ReservedDBInstance$ReservedDBInstanceId' => 'The unique identifier for the reservation.
', 'ReservedDBInstance$ReservedDBInstancesOfferingId' => 'The offering identifier.
', 'ReservedDBInstance$DBInstanceClass' => 'The DB instance class for the reserved DB instance.
', 'ReservedDBInstance$CurrencyCode' => 'The currency code for the reserved DB instance.
', 'ReservedDBInstance$ProductDescription' => 'The description of the reserved DB instance.
', 'ReservedDBInstance$OfferingType' => 'The offering type of this reserved DB instance.
', 'ReservedDBInstance$State' => 'The state of the reserved DB instance.
', 'ReservedDBInstance$ReservedDBInstanceArn' => 'The Amazon Resource Name (ARN) for the reserved DB instance.
', 'ReservedDBInstance$LeaseId' => 'The unique identifier for the lease associated with the reserved DB instance.
Amazon Web Services Support might request the lease ID for an issue related to a reserved DB instance.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The offering identifier.
', 'ReservedDBInstancesOffering$DBInstanceClass' => 'The DB instance class for the reserved DB instance.
', 'ReservedDBInstancesOffering$CurrencyCode' => 'The currency code for the reserved DB instance offering.
', 'ReservedDBInstancesOffering$ProductDescription' => 'The database engine used by the offering.
', 'ReservedDBInstancesOffering$OfferingType' => 'The offering type.
', 'ReservedDBInstancesOfferingMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the DB cluster parameter group to reset.
', 'ResetDBParameterGroupMessage$DBParameterGroupName' => 'The name of the DB parameter group.
Constraints:
Must match the name of an existing DBParameterGroup.
The ARN of the resource that has pending maintenance actions.
', 'RestoreDBClusterFromS3Message$CharacterSetName' => 'A value that indicates that the restored DB cluster should be associated with the specified CharacterSet.
', 'RestoreDBClusterFromS3Message$DatabaseName' => 'The database name for the restored DB cluster.
', 'RestoreDBClusterFromS3Message$DBClusterIdentifier' => 'The name of the DB cluster to create from the source data in the Amazon S3 bucket. This parameter isn\'t case-sensitive.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-cluster1
The name of the DB cluster parameter group to associate with the restored DB cluster. If this argument is omitted, the default parameter group for the engine version is used.
Constraints:
If supplied, must match the name of an existing DBClusterParameterGroup.
A DB subnet group to associate with the restored DB cluster.
Constraints: If supplied, must match the name of an existing DBSubnetGroup.
Example: mydbsubnetgroup
The name of the database engine to be used for this DB cluster.
Valid Values: aurora-mysql (for Aurora MySQL)
The version number of the database engine to use.
To list all of the available engine versions for aurora-mysql (Aurora MySQL), use the following command:
aws rds describe-db-engine-versions --engine aurora-mysql --query "DBEngineVersions[].EngineVersion"
Aurora MySQL
Examples: 5.7.mysql_aurora.2.12.0, 8.0.mysql_aurora.3.04.0
The name of the master user for the restored DB cluster.
Constraints:
Must be 1 to 16 letters or numbers.
First character must be a letter.
Can\'t be a reserved word for the chosen database engine.
The password for the master database user. This password can contain any printable ASCII character except "/", """, or "@".
Constraints:
Must contain from 8 to 41 characters.
Can\'t be specified if ManageMasterUserPassword is turned on.
A value that indicates that the restored DB cluster should be associated with the specified option group.
Permanent options can\'t be removed from an option group. An option group can\'t be removed from a DB cluster once it is associated with a DB cluster.
', 'RestoreDBClusterFromS3Message$PreferredBackupWindow' => 'The daily time range during which automated backups are created if automated backups are enabled using the BackupRetentionPeriod parameter.
The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region. To view the time blocks available, see Backup window in the Amazon Aurora User Guide.
Constraints:
Must be in the format hh24:mi-hh24:mi.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred maintenance window.
Must be at least 30 minutes.
The weekly time range during which system maintenance can occur, in Universal Coordinated Time (UTC).
Format: ddd:hh24:mi-ddd:hh24:mi
The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region, occurring on a random day of the week. To see the time blocks available, see Adjusting the Preferred Maintenance Window in the Amazon Aurora User Guide.
Valid Days: Mon, Tue, Wed, Thu, Fri, Sat, Sun.
Constraints: Minimum 30-minute window.
', 'RestoreDBClusterFromS3Message$KmsKeyId' => 'The Amazon Web Services KMS key identifier for an encrypted DB cluster.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
If the StorageEncrypted parameter is enabled, and you do not specify a value for the KmsKeyId parameter, then Amazon RDS will use your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
The identifier for the database engine that was backed up to create the files stored in the Amazon S3 bucket.
Valid Values: mysql
The version of the database that the backup files were created from.
MySQL versions 5.7 and 8.0 are supported.
Example: 5.7.40, 8.0.28
The name of the Amazon S3 bucket that contains the data used to create the Amazon Aurora DB cluster.
', 'RestoreDBClusterFromS3Message$S3Prefix' => 'The prefix for all of the file names that contain the data used to create the Amazon Aurora DB cluster. If you do not specify a SourceS3Prefix value, then the Amazon Aurora DB cluster is created by using all of the files in the Amazon S3 bucket.
', 'RestoreDBClusterFromS3Message$S3IngestionRoleArn' => 'The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role that authorizes Amazon RDS to access the Amazon S3 bucket on your behalf.
', 'RestoreDBClusterFromS3Message$Domain' => 'Specify the Active Directory directory ID to restore the DB cluster in. The domain must be created prior to this operation.
For Amazon Aurora DB clusters, Amazon RDS can use Kerberos Authentication to authenticate users that connect to the DB cluster. For more information, see Kerberos Authentication in the Amazon Aurora User Guide.
', 'RestoreDBClusterFromS3Message$DomainIAMRoleName' => 'Specify the name of the IAM role to be used when making API calls to the Directory Service.
', 'RestoreDBClusterFromS3Message$NetworkType' => 'The network type of the DB cluster.
Valid Values:
IPV4
DUAL
The network type is determined by the DBSubnetGroup specified for the DB cluster. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon Aurora User Guide.
', 'RestoreDBClusterFromS3Message$MasterUserSecretKmsKeyId' => 'The Amazon Web Services KMS key identifier to encrypt a secret that is automatically generated and managed in Amazon Web Services Secrets Manager.
This setting is valid only if the master user password is managed by RDS in Amazon Web Services Secrets Manager for the DB cluster.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
If you don\'t specify MasterUserSecretKmsKeyId, then the aws/secretsmanager KMS key is used to encrypt the secret. If the secret is in a different Amazon Web Services account, then you can\'t use the aws/secretsmanager KMS key to encrypt the secret, and you must use a customer managed KMS key.
There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
', 'RestoreDBClusterFromS3Message$StorageType' => 'Specifies the storage type to be associated with the DB cluster.
Valid Values: aurora, aurora-iopt1
Default: aurora
Valid for: Aurora DB clusters only
', 'RestoreDBClusterFromS3Message$EngineLifecycleSupport' => 'The life cycle type for this DB cluster.
By default, this value is set to open-source-rds-extended-support, which enrolls your DB cluster into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, RDS automatically upgrades your restored DB cluster to a higher engine version, if the major engine version is past its end of standard support date.
You can use this setting to enroll your DB cluster into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your DB cluster past the end of standard support for that engine version. For more information, see the following sections:
Amazon Aurora - Using Amazon RDS Extended Support in the Amazon Aurora User Guide
Amazon RDS - Using Amazon RDS Extended Support in the Amazon RDS User Guide
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The name of the DB cluster to create from the DB snapshot or DB cluster snapshot. This parameter isn\'t case-sensitive.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Example: my-snapshot-id
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$SnapshotIdentifier' => 'The identifier for the DB snapshot or DB cluster snapshot to restore from.
You can use either the name or the Amazon Resource Name (ARN) to specify a DB cluster snapshot. However, you can use only the ARN to specify a DB snapshot.
Constraints:
Must match the identifier of an existing Snapshot.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$Engine' => 'The database engine to use for the new DB cluster.
Default: The same as source
Constraint: Must be compatible with the engine of the source
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$EngineVersion' => 'The version of the database engine to use for the new DB cluster. If you don\'t specify an engine version, the default version for the database engine in the Amazon Web Services Region is used.
To list all of the available engine versions for Aurora MySQL, use the following command:
aws rds describe-db-engine-versions --engine aurora-mysql --query "DBEngineVersions[].EngineVersion"
To list all of the available engine versions for Aurora PostgreSQL, use the following command:
aws rds describe-db-engine-versions --engine aurora-postgresql --query "DBEngineVersions[].EngineVersion"
To list all of the available engine versions for RDS for MySQL, use the following command:
aws rds describe-db-engine-versions --engine mysql --query "DBEngineVersions[].EngineVersion"
To list all of the available engine versions for RDS for PostgreSQL, use the following command:
aws rds describe-db-engine-versions --engine postgres --query "DBEngineVersions[].EngineVersion"
Aurora MySQL
See Database engine updates for Amazon Aurora MySQL in the Amazon Aurora User Guide.
Aurora PostgreSQL
See Amazon Aurora PostgreSQL releases and engine versions in the Amazon Aurora User Guide.
MySQL
See Amazon RDS for MySQL in the Amazon RDS User Guide.
PostgreSQL
See Amazon RDS for PostgreSQL versions and extensions in the Amazon RDS User Guide.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$DBSubnetGroupName' => 'The name of the DB subnet group to use for the new DB cluster.
Constraints: If supplied, must match the name of an existing DB subnet group.
Example: mydbsubnetgroup
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$DatabaseName' => 'The database name for the restored DB cluster.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$OptionGroupName' => 'The name of the option group to use for the restored DB cluster.
DB clusters are associated with a default option group that can\'t be modified.
', 'RestoreDBClusterFromSnapshotMessage$KmsKeyId' => 'The Amazon Web Services KMS key identifier to use when restoring an encrypted DB cluster from a DB snapshot or DB cluster snapshot.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
When you don\'t specify a value for the KmsKeyId parameter, then the following occurs:
If the DB snapshot or DB cluster snapshot in SnapshotIdentifier is encrypted, then the restored DB cluster is encrypted using the KMS key that was used to encrypt the DB snapshot or DB cluster snapshot.
If the DB snapshot or DB cluster snapshot in SnapshotIdentifier isn\'t encrypted, then the restored DB cluster isn\'t encrypted.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$EngineMode' => 'The DB engine mode of the DB cluster, either provisioned or serverless.
For more information, see CreateDBCluster.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterFromSnapshotMessage$DBClusterParameterGroupName' => 'The name of the DB cluster parameter group to associate with this DB cluster. If this argument is omitted, the default DB cluster parameter group for the specified engine is used.
Constraints:
If supplied, must match the name of an existing default DB cluster parameter group.
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$Domain' => 'The Active Directory directory ID to restore the DB cluster in. The domain must be created prior to this operation. Currently, only MySQL, Microsoft SQL Server, Oracle, and PostgreSQL DB instances can be created in an Active Directory Domain.
For more information, see Kerberos Authentication in the Amazon RDS User Guide.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterFromSnapshotMessage$DomainIAMRoleName' => 'The name of the IAM role to be used when making API calls to the Directory Service.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterFromSnapshotMessage$DBClusterInstanceClass' => 'The compute and memory capacity of the each DB instance in the Multi-AZ DB cluster, for example db.m6gd.xlarge. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines.
For the full list of DB instance classes, and availability for your engine, see DB Instance Class in the Amazon RDS User Guide.
Valid for: Multi-AZ DB clusters only
', 'RestoreDBClusterFromSnapshotMessage$StorageType' => 'Specifies the storage type to be associated with the DB cluster.
When specified for a Multi-AZ DB cluster, a value for the Iops parameter is required.
Valid Values: aurora, aurora-iopt1 (Aurora DB clusters); io1 (Multi-AZ DB clusters)
Default: aurora (Aurora DB clusters); io1 (Multi-AZ DB clusters)
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$NetworkType' => 'The network type of the DB cluster.
Valid Values:
IPV4
DUAL
The network type is determined by the DBSubnetGroup specified for the DB cluster. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon Aurora User Guide.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterFromSnapshotMessage$MonitoringRoleArn' => 'The Amazon Resource Name (ARN) for the IAM role that permits RDS to send Enhanced Monitoring metrics to Amazon CloudWatch Logs. An example is arn:aws:iam:123456789012:role/emaccess.
If MonitoringInterval is set to a value other than 0, supply a MonitoringRoleArn value.
The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you don\'t specify a value for PerformanceInsightsKMSKeyId, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
The life cycle type for this DB cluster.
By default, this value is set to open-source-rds-extended-support, which enrolls your DB cluster into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, RDS automatically upgrades your restored DB cluster to a higher engine version, if the major engine version is past its end of standard support date.
You can use this setting to enroll your DB cluster into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your DB cluster past the end of standard support for that engine version. For more information, see the following sections:
Amazon Aurora - Using Amazon RDS Extended Support in the Amazon Aurora User Guide
Amazon RDS - Using Amazon RDS Extended Support in the Amazon RDS User Guide
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The name of the new DB cluster to be created.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$RestoreType' => 'The type of restore to be performed. You can specify one of the following values:
full-copy - The new DB cluster is restored as a full copy of the source DB cluster.
copy-on-write - The new DB cluster is restored as a clone of the source DB cluster.
If you don\'t specify a RestoreType value, then the new DB cluster is restored as a full copy of the source DB cluster.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$SourceDBClusterIdentifier' => 'The identifier of the source DB cluster from which to restore.
Constraints:
Must match the identifier of an existing DBCluster.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$DBSubnetGroupName' => 'The DB subnet group name to use for the new DB cluster.
Constraints: If supplied, must match the name of an existing DBSubnetGroup.
Example: mydbsubnetgroup
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$OptionGroupName' => 'The name of the option group for the new DB cluster.
DB clusters are associated with a default option group that can\'t be modified.
', 'RestoreDBClusterToPointInTimeMessage$KmsKeyId' => 'The Amazon Web Services KMS key identifier to use when restoring an encrypted DB cluster from an encrypted DB cluster.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
You can restore to a new DB cluster and encrypt the new DB cluster with a KMS key that is different from the KMS key used to encrypt the source DB cluster. The new DB cluster is encrypted with the KMS key identified by the KmsKeyId parameter.
If you don\'t specify a value for the KmsKeyId parameter, then the following occurs:
If the DB cluster is encrypted, then the restored DB cluster is encrypted using the KMS key that was used to encrypt the source DB cluster.
If the DB cluster isn\'t encrypted, then the restored DB cluster isn\'t encrypted.
If DBClusterIdentifier refers to a DB cluster that isn\'t encrypted, then the restore request is rejected.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$DBClusterParameterGroupName' => 'The name of the custom DB cluster parameter group to associate with this DB cluster.
If the DBClusterParameterGroupName parameter is omitted, the default DB cluster parameter group for the specified engine is used.
Constraints:
If supplied, must match the name of an existing DB cluster parameter group.
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$Domain' => 'The Active Directory directory ID to restore the DB cluster in. The domain must be created prior to this operation.
For Amazon Aurora DB clusters, Amazon RDS can use Kerberos Authentication to authenticate users that connect to the DB cluster. For more information, see Kerberos Authentication in the Amazon Aurora User Guide.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$DomainIAMRoleName' => 'The name of the IAM role to be used when making API calls to the Directory Service.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$EngineMode' => 'The engine mode of the new cluster. Specify provisioned or serverless, depending on the type of the cluster you are creating. You can create an Aurora Serverless v1 clone from a provisioned cluster, or a provisioned clone from an Aurora Serverless v1 cluster. To create a clone that is an Aurora Serverless v1 cluster, the original cluster must be an Aurora Serverless v1 cluster or an encrypted provisioned cluster.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$DBClusterInstanceClass' => 'The compute and memory capacity of the each DB instance in the Multi-AZ DB cluster, for example db.m6gd.xlarge. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines.
For the full list of DB instance classes, and availability for your engine, see DB instance class in the Amazon RDS User Guide.
Valid for: Multi-AZ DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$StorageType' => 'Specifies the storage type to be associated with the DB cluster.
When specified for a Multi-AZ DB cluster, a value for the Iops parameter is required.
Valid Values: aurora, aurora-iopt1 (Aurora DB clusters); io1 (Multi-AZ DB clusters)
Default: aurora (Aurora DB clusters); io1 (Multi-AZ DB clusters)
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$NetworkType' => 'The network type of the DB cluster.
Valid Values:
IPV4
DUAL
The network type is determined by the DBSubnetGroup specified for the DB cluster. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon Aurora User Guide.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$SourceDbClusterResourceId' => 'The resource ID of the source DB cluster from which to restore.
', 'RestoreDBClusterToPointInTimeMessage$MonitoringRoleArn' => 'The Amazon Resource Name (ARN) for the IAM role that permits RDS to send Enhanced Monitoring metrics to Amazon CloudWatch Logs. An example is arn:aws:iam:123456789012:role/emaccess.
If MonitoringInterval is set to a value other than 0, supply a MonitoringRoleArn value.
The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you don\'t specify a value for PerformanceInsightsKMSKeyId, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
The life cycle type for this DB cluster.
By default, this value is set to open-source-rds-extended-support, which enrolls your DB cluster into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, RDS automatically upgrades your restored DB cluster to a higher engine version, if the major engine version is past its end of standard support date.
You can use this setting to enroll your DB cluster into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your DB cluster past the end of standard support for that engine version. For more information, see the following sections:
Amazon Aurora - Using Amazon RDS Extended Support in the Amazon Aurora User Guide
Amazon RDS - Using Amazon RDS Extended Support in the Amazon RDS User Guide
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The name of the DB instance to create from the DB snapshot. This parameter isn\'t case-sensitive.
Constraints:
Must contain from 1 to 63 numbers, letters, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-snapshot-id
The identifier for the DB snapshot to restore from.
Constraints:
Must match the identifier of an existing DB snapshot.
Can\'t be specified when DBClusterSnapshotIdentifier is specified.
Must be specified when DBClusterSnapshotIdentifier isn\'t specified.
If you are restoring from a shared manual DB snapshot, the DBSnapshotIdentifier must be the ARN of the shared DB snapshot.
The compute and memory capacity of the Amazon RDS DB instance, for example db.m4.large. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines. For the full list of DB instance classes, and availability for your engine, see DB Instance Class in the Amazon RDS User Guide.
Default: The same DBInstanceClass as the original DB instance.
', 'RestoreDBInstanceFromDBSnapshotMessage$AvailabilityZone' => 'The Availability Zone (AZ) where the DB instance will be created.
Default: A random, system-chosen Availability Zone.
Constraint: You can\'t specify the AvailabilityZone parameter if the DB instance is a Multi-AZ deployment.
Example: us-east-1a
The name of the DB subnet group to use for the new instance.
Constraints:
If supplied, must match the name of an existing DB subnet group.
Example: mydbsubnetgroup
License model information for the restored DB instance.
License models for RDS for Db2 require additional configuration. The Bring Your Own License (BYOL) model requires a custom parameter group and an Amazon Web Services License Manager self-managed license. The Db2 license through Amazon Web Services Marketplace model requires an Amazon Web Services Marketplace subscription. For more information, see Amazon RDS for Db2 licensing options in the Amazon RDS User Guide.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
Valid Values:
RDS for Db2 - bring-your-own-license | marketplace-license
RDS for MariaDB - general-public-license
RDS for Microsoft SQL Server - license-included
RDS for MySQL - general-public-license
RDS for Oracle - bring-your-own-license | license-included
RDS for PostgreSQL - postgresql-license
Default: Same as the source.
', 'RestoreDBInstanceFromDBSnapshotMessage$DBName' => 'The name of the database for the restored DB instance.
This parameter only applies to RDS for Oracle and RDS for SQL Server DB instances. It doesn\'t apply to the other engines or to RDS Custom DB instances.
', 'RestoreDBInstanceFromDBSnapshotMessage$Engine' => 'The database engine to use for the new instance.
This setting doesn\'t apply to RDS Custom.
Default: The same as source
Constraint: Must be compatible with the engine of the source. For example, you can restore a MariaDB 10.1 DB instance from a MySQL 5.6 snapshot.
Valid Values:
db2-ae
db2-se
mariadb
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
The name of the option group to be used for the restored DB instance.
Permanent options, such as the TDE option for Oracle Advanced Security TDE, can\'t be removed from an option group, and that option group can\'t be removed from a DB instance after it is associated with a DB instance.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceFromDBSnapshotMessage$StorageType' => 'Specifies the storage type to be associated with the DB instance.
Valid Values: gp2 | gp3 | io1 | io2 | standard
If you specify io1, io2, or gp3, you must also include a value for the Iops parameter.
Default: io1 if the Iops parameter is specified, otherwise gp2
The ARN from the key store with which to associate the instance for TDE encryption.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceFromDBSnapshotMessage$TdeCredentialPassword' => 'The password for the given ARN from the key store in order to access the device.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceFromDBSnapshotMessage$Domain' => 'The Active Directory directory ID to restore the DB instance in. The domain/ must be created prior to this operation. Currently, you can create only Db2, MySQL, Microsoft SQL Server, Oracle, and PostgreSQL DB instances in an Active Directory Domain.
For more information, see Kerberos Authentication in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceFromDBSnapshotMessage$DomainFqdn' => 'The fully qualified domain name (FQDN) of an Active Directory domain.
Constraints:
Can\'t be longer than 64 characters.
Example: mymanagedADtest.mymanagedAD.mydomain
The Active Directory organizational unit for your DB instance to join.
Constraints:
Must be in the distinguished name format.
Can\'t be longer than 64 characters.
Example: OU=mymanagedADtestOU,DC=mymanagedADtest,DC=mymanagedAD,DC=mydomain
The ARN for the Secrets Manager secret with the credentials for the user joining the domain.
Constraints:
Can\'t be longer than 64 characters.
Example: arn:aws:secretsmanager:region:account-number:secret:myselfmanagedADtestsecret-123456
The name of the IAM role to use when making API calls to the Directory Service.
This setting doesn\'t apply to RDS Custom DB instances.
', 'RestoreDBInstanceFromDBSnapshotMessage$DBParameterGroupName' => 'The name of the DB parameter group to associate with this DB instance.
If you don\'t specify a value for DBParameterGroupName, then RDS uses the default DBParameterGroup for the specified DB engine.
This setting doesn\'t apply to RDS Custom.
Constraints:
If supplied, must match the name of an existing DB parameter group.
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
The instance profile associated with the underlying Amazon EC2 instance of an RDS Custom DB instance. The instance profile must meet the following requirements:
The profile must exist in your account.
The profile must have an IAM role that Amazon EC2 has permissions to assume.
The instance profile name and the associated IAM role name must start with the prefix AWSRDSCustom.
For the list of permissions required for the IAM role, see Configure IAM and your VPC in the Amazon RDS User Guide.
This setting is required for RDS Custom.
', 'RestoreDBInstanceFromDBSnapshotMessage$BackupTarget' => 'Specifies where automated backups and manual snapshots are stored for the restored DB instance.
Possible values are outposts (Amazon Web Services Outposts) and region (Amazon Web Services Region). The default is region.
For more information, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromDBSnapshotMessage$NetworkType' => 'The network type of the DB instance.
Valid Values:
IPV4
DUAL
The network type is determined by the DBSubnetGroup specified for the DB instance. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromDBSnapshotMessage$DBClusterSnapshotIdentifier' => 'The identifier for the Multi-AZ DB cluster snapshot to restore from.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
Constraints:
Must match the identifier of an existing Multi-AZ DB cluster snapshot.
Can\'t be specified when DBSnapshotIdentifier is specified.
Must be specified when DBSnapshotIdentifier isn\'t specified.
If you are restoring from a shared manual Multi-AZ DB cluster snapshot, the DBClusterSnapshotIdentifier must be the ARN of the shared snapshot.
Can\'t be the identifier of an Aurora DB cluster snapshot.
The CA certificate identifier to use for the DB instance\'s server certificate.
This setting doesn\'t apply to RDS Custom DB instances.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'RestoreDBInstanceFromDBSnapshotMessage$EngineLifecycleSupport' => 'The life cycle type for this DB instance.
By default, this value is set to open-source-rds-extended-support, which enrolls your DB instance into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, RDS automatically upgrades your restored DB instance to a higher engine version, if the major engine version is past its end of standard support date.
You can use this setting to enroll your DB instance into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your DB instance past the end of standard support for that engine version. For more information, see Using Amazon RDS Extended Support in the Amazon RDS User Guide.
This setting applies only to RDS for MySQL and RDS for PostgreSQL. For Amazon Aurora DB instances, the life cycle type is managed by the DB cluster.
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The name of the database to create when the DB instance is created. Follow the naming rules specified in CreateDBInstance.
The DB instance identifier. This parameter is stored as a lowercase string.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: mydbinstance
The compute and memory capacity of the DB instance, for example db.m4.large. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines. For the full list of DB instance classes, and availability for your engine, see DB Instance Class in the Amazon RDS User Guide.
Importing from Amazon S3 isn\'t supported on the db.t2.micro DB instance class.
', 'RestoreDBInstanceFromS3Message$Engine' => 'The name of the database engine to be used for this instance.
Valid Values: mysql
The name for the master user.
Constraints:
Must be 1 to 16 letters or numbers.
First character must be a letter.
Can\'t be a reserved word for the chosen database engine.
The password for the master user.
Constraints:
Can\'t be specified if ManageMasterUserPassword is turned on.
Can include any printable ASCII character except "/", """, or "@". For RDS for Oracle, can\'t include the "&" (ampersand) or the "\'" (single quotes) character.
Length Constraints:
RDS for Db2 - Must contain from 8 to 128 characters.
RDS for MariaDB - Must contain from 8 to 41 characters.
RDS for Microsoft SQL Server - Must contain from 8 to 128 characters.
RDS for MySQL - Must contain from 8 to 41 characters.
RDS for Oracle - Must contain from 8 to 30 characters.
RDS for PostgreSQL - Must contain from 8 to 128 characters.
The Availability Zone that the DB instance is created in. For information about Amazon Web Services Regions and Availability Zones, see Regions and Availability Zones in the Amazon RDS User Guide.
Default: A random, system-chosen Availability Zone in the endpoint\'s Amazon Web Services Region.
Example: us-east-1d
Constraint: The AvailabilityZone parameter can\'t be specified if the DB instance is a Multi-AZ deployment. The specified Availability Zone must be in the same Amazon Web Services Region as the current endpoint.
A DB subnet group to associate with this DB instance.
Constraints: If supplied, must match the name of an existing DBSubnetGroup.
Example: mydbsubnetgroup
The time range each week during which system maintenance can occur, in Universal Coordinated Time (UTC). For more information, see Amazon RDS Maintenance Window in the Amazon RDS User Guide.
Constraints:
Must be in the format ddd:hh24:mi-ddd:hh24:mi.
Valid Days: Mon, Tue, Wed, Thu, Fri, Sat, Sun.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred backup window.
Must be at least 30 minutes.
The name of the DB parameter group to associate with this DB instance.
If you do not specify a value for DBParameterGroupName, then the default DBParameterGroup for the specified DB engine is used.
The time range each day during which automated backups are created if automated backups are enabled. For more information, see Backup window in the Amazon RDS User Guide.
Constraints:
Must be in the format hh24:mi-hh24:mi.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred maintenance window.
Must be at least 30 minutes.
The version number of the database engine to use. Choose the latest minor version of your database engine. For information about engine versions, see CreateDBInstance, or call DescribeDBEngineVersions.
The license model for this DB instance. Use general-public-license.
The name of the option group to associate with this DB instance. If this argument is omitted, the default option group for the specified engine is used.
', 'RestoreDBInstanceFromS3Message$StorageType' => 'Specifies the storage type to be associated with the DB instance.
Valid Values: gp2 | gp3 | io1 | io2 | standard
If you specify io1, io2, or gp3, you must also include a value for the Iops parameter.
Default: io1 if the Iops parameter is specified; otherwise gp2
The Amazon Web Services KMS key identifier for an encrypted DB instance.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
If the StorageEncrypted parameter is enabled, and you do not specify a value for the KmsKeyId parameter, then Amazon RDS will use your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
The ARN for the IAM role that permits RDS to send enhanced monitoring metrics to Amazon CloudWatch Logs. For example, arn:aws:iam:123456789012:role/emaccess. For information on creating a monitoring role, see Setting Up and Enabling Enhanced Monitoring in the Amazon RDS User Guide.
If MonitoringInterval is set to a value other than 0, then you must supply a MonitoringRoleArn value.
The name of the engine of your source database.
Valid Values: mysql
The version of the database that the backup files were created from.
MySQL versions 5.6 and 5.7 are supported.
Example: 5.6.40
The name of your Amazon S3 bucket that contains your database backup file.
', 'RestoreDBInstanceFromS3Message$S3Prefix' => 'The prefix of your Amazon S3 bucket.
', 'RestoreDBInstanceFromS3Message$S3IngestionRoleArn' => 'An Amazon Web Services Identity and Access Management (IAM) role with a trust policy and a permissions policy that allows Amazon RDS to access your Amazon S3 bucket. For information about this role, see Creating an IAM role manually in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromS3Message$PerformanceInsightsKMSKeyId' => 'The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you do not specify a value for PerformanceInsightsKMSKeyId, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
The network type of the DB instance.
Valid Values:
IPV4
DUAL
The network type is determined by the DBSubnetGroup specified for the DB instance. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromS3Message$MasterUserSecretKmsKeyId' => 'The Amazon Web Services KMS key identifier to encrypt a secret that is automatically generated and managed in Amazon Web Services Secrets Manager.
This setting is valid only if the master user password is managed by RDS in Amazon Web Services Secrets Manager for the DB instance.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
If you don\'t specify MasterUserSecretKmsKeyId, then the aws/secretsmanager KMS key is used to encrypt the secret. If the secret is in a different Amazon Web Services account, then you can\'t use the aws/secretsmanager KMS key to encrypt the secret, and you must use a customer managed KMS key.
There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
', 'RestoreDBInstanceFromS3Message$CACertificateIdentifier' => 'The CA certificate identifier to use for the DB instance\'s server certificate.
This setting doesn\'t apply to RDS Custom DB instances.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'RestoreDBInstanceFromS3Message$EngineLifecycleSupport' => 'The life cycle type for this DB instance.
By default, this value is set to open-source-rds-extended-support, which enrolls your DB instance into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, RDS automatically upgrades your restored DB instance to a higher engine version, if the major engine version is past its end of standard support date.
You can use this setting to enroll your DB instance into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your DB instance past the end of standard support for that engine version. For more information, see Using Amazon RDS Extended Support in the Amazon RDS User Guide.
This setting applies only to RDS for MySQL and RDS for PostgreSQL. For Amazon Aurora DB instances, the life cycle type is managed by the DB cluster.
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The identifier of the source DB instance from which to restore.
Constraints:
Must match the identifier of an existing DB instance.
The name of the new DB instance to create.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
The compute and memory capacity of the Amazon RDS DB instance, for example db.m4.large. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines. For the full list of DB instance classes, and availability for your engine, see DB Instance Class in the Amazon RDS User Guide.
Default: The same DB instance class as the original DB instance.
', 'RestoreDBInstanceToPointInTimeMessage$AvailabilityZone' => 'The Availability Zone (AZ) where the DB instance will be created.
Default: A random, system-chosen Availability Zone.
Constraints:
You can\'t specify the AvailabilityZone parameter if the DB instance is a Multi-AZ deployment.
Example: us-east-1a
The DB subnet group name to use for the new instance.
Constraints:
If supplied, must match the name of an existing DB subnet group.
Example: mydbsubnetgroup
The license model information for the restored DB instance.
License models for RDS for Db2 require additional configuration. The Bring Your Own License (BYOL) model requires a custom parameter group and an Amazon Web Services License Manager self-managed license. The Db2 license through Amazon Web Services Marketplace model requires an Amazon Web Services Marketplace subscription. For more information, see Amazon RDS for Db2 licensing options in the Amazon RDS User Guide.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
Valid Values:
RDS for Db2 - bring-your-own-license | marketplace-license
RDS for MariaDB - general-public-license
RDS for Microsoft SQL Server - license-included
RDS for MySQL - general-public-license
RDS for Oracle - bring-your-own-license | license-included
RDS for PostgreSQL - postgresql-license
Default: Same as the source.
', 'RestoreDBInstanceToPointInTimeMessage$DBName' => 'The database name for the restored DB instance.
This parameter doesn\'t apply to the following DB instances:
RDS Custom
RDS for Db2
RDS for MariaDB
RDS for MySQL
The database engine to use for the new instance.
This setting doesn\'t apply to RDS Custom.
Valid Values:
db2-ae
db2-se
mariadb
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
Default: The same as source
Constraints:
Must be compatible with the engine of the source.
The name of the option group to use for the restored DB instance.
Permanent options, such as the TDE option for Oracle Advanced Security TDE, can\'t be removed from an option group, and that option group can\'t be removed from a DB instance after it is associated with a DB instance
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceToPointInTimeMessage$StorageType' => 'The storage type to associate with the DB instance.
Valid Values: gp2 | gp3 | io1 | io2 | standard
Default: io1, if the Iops parameter is specified. Otherwise, gp2.
Constraints:
If you specify io1, io2, or gp3, you must also include a value for the Iops parameter.
The ARN from the key store with which to associate the instance for TDE encryption.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceToPointInTimeMessage$TdeCredentialPassword' => 'The password for the given ARN from the key store in order to access the device.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceToPointInTimeMessage$Domain' => 'The Active Directory directory ID to restore the DB instance in. Create the domain before running this command. Currently, you can create only the MySQL, Microsoft SQL Server, Oracle, and PostgreSQL DB instances in an Active Directory Domain.
This setting doesn\'t apply to RDS Custom.
For more information, see Kerberos Authentication in the Amazon RDS User Guide.
', 'RestoreDBInstanceToPointInTimeMessage$DomainIAMRoleName' => 'The name of the IAM role to use when making API calls to the Directory Service.
This setting doesn\'t apply to RDS Custom DB instances.
', 'RestoreDBInstanceToPointInTimeMessage$DomainFqdn' => 'The fully qualified domain name (FQDN) of an Active Directory domain.
Constraints:
Can\'t be longer than 64 characters.
Example: mymanagedADtest.mymanagedAD.mydomain
The Active Directory organizational unit for your DB instance to join.
Constraints:
Must be in the distinguished name format.
Can\'t be longer than 64 characters.
Example: OU=mymanagedADtestOU,DC=mymanagedADtest,DC=mymanagedAD,DC=mydomain
The ARN for the Secrets Manager secret with the credentials for the user joining the domain.
Constraints:
Can\'t be longer than 64 characters.
Example: arn:aws:secretsmanager:region:account-number:secret:myselfmanagedADtestsecret-123456
The name of the DB parameter group to associate with this DB instance.
If you do not specify a value for DBParameterGroupName, then the default DBParameterGroup for the specified DB engine is used.
This setting doesn\'t apply to RDS Custom.
Constraints:
If supplied, must match the name of an existing DB parameter group.
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
The resource ID of the source DB instance from which to restore.
', 'RestoreDBInstanceToPointInTimeMessage$SourceDBInstanceAutomatedBackupsArn' => 'The Amazon Resource Name (ARN) of the replicated automated backups from which to restore, for example, arn:aws:rds:us-east-1:123456789012:auto-backup:ab-L2IJCEXJP7XQ7HOJ4SIEXAMPLE.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceToPointInTimeMessage$CustomIamInstanceProfile' => 'The instance profile associated with the underlying Amazon EC2 instance of an RDS Custom DB instance. The instance profile must meet the following requirements:
The profile must exist in your account.
The profile must have an IAM role that Amazon EC2 has permissions to assume.
The instance profile name and the associated IAM role name must start with the prefix AWSRDSCustom.
For the list of permissions required for the IAM role, see Configure IAM and your VPC in the Amazon RDS User Guide.
This setting is required for RDS Custom.
', 'RestoreDBInstanceToPointInTimeMessage$BackupTarget' => 'The location for storing automated backups and manual snapshots for the restored DB instance.
Valid Values:
outposts (Amazon Web Services Outposts)
region (Amazon Web Services Region)
Default: region
For more information, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
', 'RestoreDBInstanceToPointInTimeMessage$NetworkType' => 'The network type of the DB instance.
The network type is determined by the DBSubnetGroup specified for the DB instance. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
Valid Values:
IPV4
DUAL
The CA certificate identifier to use for the DB instance\'s server certificate.
This setting doesn\'t apply to RDS Custom DB instances.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'RestoreDBInstanceToPointInTimeMessage$EngineLifecycleSupport' => 'The life cycle type for this DB instance.
By default, this value is set to open-source-rds-extended-support, which enrolls your DB instance into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, RDS automatically upgrades your restored DB instance to a higher engine version, if the major engine version is past its end of standard support date.
You can use this setting to enroll your DB instance into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your DB instance past the end of standard support for that engine version. For more information, see Using Amazon RDS Extended Support in the Amazon RDS User Guide.
This setting applies only to RDS for MySQL and RDS for PostgreSQL. For Amazon Aurora DB instances, the life cycle type is managed by the DB cluster.
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The name of the DB security group to revoke ingress from.
', 'RevokeDBSecurityGroupIngressMessage$CIDRIP' => 'The IP range to revoke access from. Must be a valid CIDR range. If CIDRIP is specified, EC2SecurityGroupName, EC2SecurityGroupId and EC2SecurityGroupOwnerId can\'t be provided.
The name of the EC2 security group to revoke access from. For VPC DB security groups, EC2SecurityGroupId must be provided. Otherwise, EC2SecurityGroupOwnerId and either EC2SecurityGroupName or EC2SecurityGroupId must be provided.
The id of the EC2 security group to revoke access from. For VPC DB security groups, EC2SecurityGroupId must be provided. Otherwise, EC2SecurityGroupOwnerId and either EC2SecurityGroupName or EC2SecurityGroupId must be provided.
The Amazon Web Services account number of the owner of the EC2 security group specified in the EC2SecurityGroupName parameter. The Amazon Web Services access key ID isn\'t an acceptable value. For VPC DB security groups, EC2SecurityGroupId must be provided. Otherwise, EC2SecurityGroupOwnerId and either EC2SecurityGroupName or EC2SecurityGroupId must be provided.
The action to take when the timeout is reached, either ForceApplyCapacityChange or RollbackCapacityChange.
ForceApplyCapacityChange sets the capacity to the specified value as soon as possible.
RollbackCapacityChange, the default, ignores the capacity change if a scaling point isn\'t found in the timeout period.
If you specify ForceApplyCapacityChange, connections that prevent Aurora Serverless v1 from finding a scaling point might be dropped.
For more information, see Autoscaling for Aurora Serverless v1 in the Amazon Aurora User Guide.
', 'ScalingConfigurationInfo$TimeoutAction' => 'The action that occurs when Aurora times out while attempting to change the capacity of an Aurora Serverless v1 cluster. The value is either ForceApplyCapacityChange or RollbackCapacityChange.
ForceApplyCapacityChange, the default, sets the capacity to the specified value as soon as possible.
RollbackCapacityChange ignores the capacity change if a scaling point isn\'t found in the timeout period.
The name of the source Amazon Web Services Region.
', 'SourceRegion$Endpoint' => 'The endpoint for the source Amazon Web Services Region endpoint.
', 'SourceRegion$Status' => 'The status of the source Amazon Web Services Region.
', 'SourceRegionMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The Amazon Resource Name (ARN) of the DB cluster, for example, arn:aws:rds:us-east-1:12345667890:cluster:das-cluster.
The Amazon Web Services KMS key identifier for encrypting messages in the database activity stream. The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'StartActivityStreamResponse$KmsKeyId' => 'The Amazon Web Services KMS key identifier for encryption of messages in the database activity stream.
', 'StartActivityStreamResponse$KinesisStreamName' => 'The name of the Amazon Kinesis data stream to be used for the database activity stream.
', 'StartDBClusterMessage$DBClusterIdentifier' => 'The DB cluster identifier of the Amazon Aurora DB cluster to be started. This parameter is stored as a lowercase string.
', 'StartDBInstanceAutomatedBackupsReplicationMessage$SourceDBInstanceArn' => 'The Amazon Resource Name (ARN) of the source DB instance for the replicated automated backups, for example, arn:aws:rds:us-west-2:123456789012:db:mydatabase.
The Amazon Web Services KMS key identifier for encryption of the replicated automated backups. The KMS key ID is the Amazon Resource Name (ARN) for the KMS encryption key in the destination Amazon Web Services Region, for example, arn:aws:kms:us-east-1:123456789012:key/AKIAIOSFODNN7EXAMPLE.
In an Amazon Web Services GovCloud (US) Region, an URL that contains a Signature Version 4 signed request for the StartDBInstanceAutomatedBackupsReplication operation to call in the Amazon Web Services Region of the source DB instance. The presigned URL must be a valid request for the StartDBInstanceAutomatedBackupsReplication API operation that can run in the Amazon Web Services Region that contains the source DB instance.
This setting applies only to Amazon Web Services GovCloud (US) Regions. It\'s ignored in other Amazon Web Services Regions.
To learn how to generate a Signature Version 4 signed request, see Authenticating Requests: Using Query Parameters (Amazon Web Services Signature Version 4) and Signature Version 4 Signing Process.
If you are using an Amazon Web Services SDK tool or the CLI, you can specify SourceRegion (or --source-region for the CLI) instead of specifying PreSignedUrl manually. Specifying SourceRegion autogenerates a presigned URL that is a valid request for the operation that can run in the source Amazon Web Services Region.
The user-supplied instance identifier.
', 'StartExportTaskMessage$ExportTaskIdentifier' => 'A unique identifier for the export task. This ID isn\'t an identifier for the Amazon S3 bucket where the data is to be exported.
', 'StartExportTaskMessage$SourceArn' => 'The Amazon Resource Name (ARN) of the snapshot or cluster to export to Amazon S3.
', 'StartExportTaskMessage$S3BucketName' => 'The name of the Amazon S3 bucket to export the snapshot or cluster data to.
', 'StartExportTaskMessage$IamRoleArn' => 'The name of the IAM role to use for writing to the Amazon S3 bucket when exporting a snapshot or cluster.
In the IAM policy attached to your IAM role, include the following required actions to allow the transfer of files from Amazon RDS or Amazon Aurora to an S3 bucket:
s3:PutObject*
s3:GetObject*
s3:ListBucket
s3:DeleteObject*
s3:GetBucketLocation
In the policy, include the resources to identify the S3 bucket and objects in the bucket. The following list of resources shows the Amazon Resource Name (ARN) format for accessing S3:
arn:aws:s3:::your-s3-bucket
arn:aws:s3:::your-s3-bucket/*
The ID of the Amazon Web Services KMS key to use to encrypt the data exported to Amazon S3. The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. The caller of this operation must be authorized to run the following operations. These can be set in the Amazon Web Services KMS key policy:
kms:Encrypt
kms:Decrypt
kms:GenerateDataKey
kms:GenerateDataKeyWithoutPlaintext
kms:ReEncryptFrom
kms:ReEncryptTo
kms:CreateGrant
kms:DescribeKey
kms:RetireGrant
The Amazon S3 bucket prefix to use as the file name and path of the exported data.
', 'StopActivityStreamRequest$ResourceArn' => 'The Amazon Resource Name (ARN) of the DB cluster for the database activity stream. For example, arn:aws:rds:us-east-1:12345667890:cluster:das-cluster.
The Amazon Web Services KMS key identifier used for encrypting messages in the database activity stream.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'StopActivityStreamResponse$KinesisStreamName' => 'The name of the Amazon Kinesis data stream used for the database activity stream.
', 'StopDBClusterMessage$DBClusterIdentifier' => 'The DB cluster identifier of the Amazon Aurora DB cluster to be stopped. This parameter is stored as a lowercase string.
', 'StopDBInstanceAutomatedBackupsReplicationMessage$SourceDBInstanceArn' => 'The Amazon Resource Name (ARN) of the source DB instance for which to stop replicating automate backups, for example, arn:aws:rds:us-west-2:123456789012:db:mydatabase.
The user-supplied instance identifier.
', 'StopDBInstanceMessage$DBSnapshotIdentifier' => 'The user-supplied instance identifier of the DB Snapshot created immediately before the DB instance is stopped.
', 'StringList$member' => NULL, 'Subnet$SubnetIdentifier' => 'The identifier of the subnet.
', 'Subnet$SubnetStatus' => 'The status of the subnet.
', 'SubnetIdentifierList$member' => NULL, 'SwitchoverReadReplicaMessage$DBInstanceIdentifier' => 'The DB instance identifier of the current standby database. This value is stored as a lowercase string.
Constraints:
Must match the identifier of an existing Oracle read replica DB instance.
A key is the required name of the tag. The string value can be from 1 to 128 Unicode characters in length and can\'t be prefixed with aws: or rds:. The string can only contain only the set of Unicode letters, digits, white-space, \'_\', \'.\', \':\', \'/\', \'=\', \'+\', \'-\', \'@\' (Java regex: "^([\\\\p{L}\\\\p{Z}\\\\p{N}_.:/=+\\\\-@]*)$").
A value is the optional value of the tag. The string value can be from 1 to 256 Unicode characters in length and can\'t be prefixed with aws: or rds:. The string can only contain only the set of Unicode letters, digits, white-space, \'_\', \'.\', \':\', \'/\', \'=\', \'+\', \'-\', \'@\' (Java regex: "^([\\\\p{L}\\\\p{Z}\\\\p{N}_.:/=+\\\\-@]*)$").
A description of the health of the RDS Proxy target. If the State is AVAILABLE, a description is not included.
The ID of the DB instance that contains the tenant database.
', 'TenantDatabase$TenantDBName' => 'The database name of the tenant database.
', 'TenantDatabase$Status' => 'The status of the tenant database.
', 'TenantDatabase$MasterUsername' => 'The master username of the tenant database.
', 'TenantDatabase$DbiResourceId' => 'The Amazon Web Services Region-unique, immutable identifier for the DB instance.
', 'TenantDatabase$TenantDatabaseResourceId' => 'The Amazon Web Services Region-unique, immutable identifier for the tenant database.
', 'TenantDatabase$TenantDatabaseARN' => 'The Amazon Resource Name (ARN) for the tenant database.
', 'TenantDatabase$CharacterSetName' => 'The character set of the tenant database.
', 'TenantDatabase$NcharCharacterSetName' => 'The NCHAR character set name of the tenant database.
The name of the tenant database.
', 'TenantDatabasesMessage$Marker' => 'An optional pagination token provided by a previous DescribeTenantDatabases request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the time zone.
', 'UpgradeTarget$Engine' => 'The name of the upgrade target database engine.
', 'UpgradeTarget$EngineVersion' => 'The version number of the upgrade target database engine.
', 'UpgradeTarget$Description' => 'The version of the database engine that a DB instance can be upgraded to.
', 'UserAuthConfig$Description' => 'A user-specified description about the authentication used by a proxy to log in as a specific database user.
', 'UserAuthConfig$UserName' => 'The name of the database user to which the proxy connects.
', 'UserAuthConfig$SecretArn' => 'The Amazon Resource Name (ARN) representing the secret that the proxy uses to authenticate to the RDS DB instance or Aurora DB cluster. These secrets are stored within Amazon Secrets Manager.
', 'UserAuthConfigInfo$Description' => 'A user-specified description about the authentication used by a proxy to log in as a specific database user.
', 'UserAuthConfigInfo$UserName' => 'The name of the database user to which the proxy connects.
', 'UserAuthConfigInfo$SecretArn' => 'The Amazon Resource Name (ARN) representing the secret that the proxy uses to authenticate to the RDS DB instance or Aurora DB cluster. These secrets are stored within Amazon Secrets Manager.
', 'ValidStorageOptions$StorageType' => 'The valid storage types for your DB instance. For example: gp2, gp3, io1, io2.
', 'VpcSecurityGroupIdList$member' => NULL, 'VpcSecurityGroupMembership$VpcSecurityGroupId' => 'The name of the VPC security group.
', 'VpcSecurityGroupMembership$Status' => 'The membership status of the VPC security group.
Currently, the only valid status is active.
The Amazon S3 directory that contains the database installation files for your CEV. For example, a valid bucket name is 123456789012/cev1. If this setting isn\'t specified, no prefix is assumed.
The ID of the Amazon Machine Image (AMI). For RDS Custom for SQL Server, an AMI ID is required to create a CEV. For RDS Custom for Oracle, the default is the most recent AMI available, but you can specify an AMI ID that was used in a different Oracle CEV. Find the AMIs used by your CEVs by calling the DescribeDBEngineVersions operation.
', 'CreateCustomDBEngineVersionMessage$SourceCustomDbEngineVersionIdentifier' => 'The ARN of a CEV to use as a source for creating a new CEV. You can specify a different Amazon Machine Imagine (AMI) by using either Source or UseAwsProvidedLatestImage. You can\'t specify a different JSON manifest when you specify SourceCustomDbEngineVersionIdentifier.
Each item in the list represents a class of SQL operations that normally cause all later statements in a session using a proxy to be pinned to the same underlying database connection. Including an item in the list exempts that class of SQL operations from the pinning behavior.
Default: no session pinning filters
', 'ConnectionPoolConfigurationInfo$SessionPinningFilters' => 'Each item in the list represents a class of SQL operations that normally cause all later statements in a session using a proxy to be pinned to the same underlying database connection. Including an item in the list exempts that class of SQL operations from the pinning behavior. This setting is only supported for MySQL engine family databases. Currently, the only allowed value is EXCLUDE_VARIABLE_SETS.
List of DB instance identifiers that are part of the custom endpoint group.
', 'CreateDBClusterEndpointMessage$ExcludedMembers' => 'List of DB instance identifiers that aren\'t part of the custom endpoint group. All other eligible instances are reachable through the custom endpoint. This parameter is relevant only if the list of static members is empty.
', 'CreateDBInstanceMessage$DomainDnsIps' => 'The IPv4 DNS IP addresses of your primary and secondary Active Directory domain controllers.
Constraints:
Two IP addresses must be provided. If there isn\'t a secondary domain controller, use the IP address of the primary domain controller for both entries in the list.
Example: 123.124.125.126,234.235.236.237
The IPv4 DNS IP addresses of your primary and secondary Active Directory domain controllers.
Constraints:
Two IP addresses must be provided. If there isn\'t a secondary domain controller, use the IP address of the primary domain controller for both entries in the list.
Example: 123.124.125.126,234.235.236.237
The VPC subnet IDs for the DB proxy endpoint that you create. You can specify a different set of subnet IDs than for the original DB proxy.
', 'CreateDBProxyEndpointRequest$VpcSecurityGroupIds' => 'The VPC security group IDs for the DB proxy endpoint that you create. You can specify a different set of security group IDs than for the original DB proxy. The default is the default security group for the VPC.
', 'CreateDBProxyRequest$VpcSubnetIds' => 'One or more VPC subnet IDs to associate with the new proxy.
', 'CreateDBProxyRequest$VpcSecurityGroupIds' => 'One or more VPC security group IDs to associate with the new proxy.
', 'DBCluster$CustomEndpoints' => 'The custom endpoints associated with the DB cluster.
', 'DBClusterEndpoint$StaticMembers' => 'List of DB instance identifiers that are part of the custom endpoint group.
', 'DBClusterEndpoint$ExcludedMembers' => 'List of DB instance identifiers that aren\'t part of the custom endpoint group. All other eligible instances are reachable through the custom endpoint. Only relevant if the list of static members is empty.
', 'DBProxy$VpcSecurityGroupIds' => 'Provides a list of VPC security groups that the proxy belongs to.
', 'DBProxy$VpcSubnetIds' => 'The EC2 subnet IDs for the proxy.
', 'DBProxyEndpoint$VpcSecurityGroupIds' => 'Provides a list of VPC security groups that the DB proxy endpoint belongs to.
', 'DBProxyEndpoint$VpcSubnetIds' => 'The EC2 subnet IDs for the DB proxy endpoint.
', 'DBSubnetGroup$SupportedNetworkTypes' => 'The network type of the DB subnet group.
Valid values:
IPV4
DUAL
A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
', 'DeregisterDBProxyTargetsRequest$DBInstanceIdentifiers' => 'One or more DB instance identifiers.
', 'DeregisterDBProxyTargetsRequest$DBClusterIdentifiers' => 'One or more DB cluster identifiers.
', 'DomainMembership$DnsIps' => 'The IPv4 DNS IP addresses of the primary and secondary Active Directory domain controllers.
', 'ExportTask$ExportOnly' => 'The data exported from the snapshot or cluster.
Valid Values:
database - Export all the data from a specified database.
database.table table-name - Export a table of the snapshot or cluster. This format is valid only for RDS for MySQL, RDS for MariaDB, and Aurora MySQL.
database.schema schema-name - Export a database schema of the snapshot or cluster. This format is valid only for RDS for PostgreSQL and Aurora PostgreSQL.
database.schema.table table-name - Export a table of the database schema. This format is valid only for RDS for PostgreSQL and Aurora PostgreSQL.
List of DB instance identifiers that are part of the custom endpoint group.
', 'ModifyDBClusterEndpointMessage$ExcludedMembers' => 'List of DB instance identifiers that aren\'t part of the custom endpoint group. All other eligible instances are reachable through the custom endpoint. Only relevant if the list of static members is empty.
', 'ModifyDBInstanceMessage$DomainDnsIps' => 'The IPv4 DNS IP addresses of your primary and secondary Active Directory domain controllers.
Constraints:
Two IP addresses must be provided. If there isn\'t a secondary domain controller, use the IP address of the primary domain controller for both entries in the list.
Example: 123.124.125.126,234.235.236.237
The VPC security group IDs for the DB proxy endpoint. When the DB proxy endpoint uses a different VPC than the original proxy, you also specify a different set of security group IDs than for the original proxy.
', 'ModifyDBProxyRequest$SecurityGroups' => 'The new list of security groups for the DBProxy.
The network types supported by the DB instance (IPV4 or DUAL).
A DB instance can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
', 'PerformanceInsightsMetricDimensionGroup$Dimensions' => 'A list of specific dimensions from a dimension group. If this list isn\'t included, then all of the dimensions in the group were requested, or are present in the response.
', 'RecommendedAction$ApplyModes' => 'The methods to apply the recommended action.
Valid values:
manual - The action requires you to resolve the recommendation manually.
immediately - The action is applied immediately.
next-maintainance-window - The action is applied during the next scheduled maintainance.
One or more DB instance identifiers.
', 'RegisterDBProxyTargetsRequest$DBClusterIdentifiers' => 'One or more DB cluster identifiers.
', 'RestoreDBInstanceFromDBSnapshotMessage$DomainDnsIps' => 'The IPv4 DNS IP addresses of your primary and secondary Active Directory domain controllers.
Constraints:
Two IP addresses must be provided. If there isn\'t a secondary domain controller, use the IP address of the primary domain controller for both entries in the list.
Example: 123.124.125.126,234.235.236.237
The IPv4 DNS IP addresses of your primary and secondary Active Directory domain controllers.
Constraints:
Two IP addresses must be provided. If there isn\'t a secondary domain controller, use the IP address of the primary domain controller for both entries in the list.
Example: 123.124.125.126,234.235.236.237
The data to be exported from the snapshot or cluster. If this parameter isn\'t provided, all of the data is exported.
Valid Values:
database - Export all the data from a specified database.
database.table table-name - Export a table of the snapshot or cluster. This format is valid only for RDS for MySQL, RDS for MariaDB, and Aurora MySQL.
database.schema schema-name - Export a database schema of the snapshot or cluster. This format is valid only for RDS for PostgreSQL and Aurora PostgreSQL.
database.schema.table table-name - Export a table of the database schema. This format is valid only for RDS for PostgreSQL and Aurora PostgreSQL.
This data type is used as a response element for the DescribeDBSubnetGroups operation.
The DB subnet is already in use in the Availability Zone.
', 'refs' => [], ], 'SubnetIdentifierList' => [ 'base' => NULL, 'refs' => [ 'CreateDBSubnetGroupMessage$SubnetIds' => 'The EC2 Subnet IDs for the DB subnet group.
', 'ModifyDBSubnetGroupMessage$SubnetIds' => 'The EC2 subnet IDs for the DB subnet group.
', ], ], 'SubnetList' => [ 'base' => NULL, 'refs' => [ 'DBSubnetGroup$Subnets' => 'Contains a list of Subnet elements.
The supplied subscription name already exists.
', 'refs' => [], ], 'SubscriptionCategoryNotFoundFault' => [ 'base' => 'The supplied category does not exist.
', 'refs' => [], ], 'SubscriptionNotFoundFault' => [ 'base' => 'The subscription name does not exist.
', 'refs' => [], ], 'SupportedCharacterSetsList' => [ 'base' => NULL, 'refs' => [ 'DBEngineVersion$SupportedCharacterSets' => 'A list of the character sets supported by this engine for the CharacterSetName parameter of the CreateDBInstance operation.
A list of the character sets supported by the Oracle DB engine for the NcharCharacterSetName parameter of the CreateDBInstance operation.
A list of the time zones supported by this engine for the Timezone parameter of the CreateDBInstance action.
Contains the details about a blue/green deployment.
For more information, see Using Amazon RDS Blue/Green Deployments for database updates in the Amazon RDS User Guide and Using Amazon RDS Blue/Green Deployments for database updates in the Amazon Aurora User Guide.
', 'refs' => [ 'SwitchoverDetailList$member' => NULL, ], ], 'SwitchoverDetailList' => [ 'base' => NULL, 'refs' => [ 'BlueGreenDeployment$SwitchoverDetails' => 'The details about each source and target resource in the blue/green deployment.
', ], ], 'SwitchoverDetailStatus' => [ 'base' => NULL, 'refs' => [ 'SwitchoverDetail$Status' => 'The switchover status of a resource in a blue/green deployment.
Values:
PROVISIONING - The resource is being prepared to switch over.
AVAILABLE - The resource is ready to switch over.
SWITCHOVER_IN_PROGRESS - The resource is being switched over.
SWITCHOVER_COMPLETED - The resource has been switched over.
SWITCHOVER_FAILED - The resource attempted to switch over but failed.
MISSING_SOURCE - The source resource has been deleted.
MISSING_TARGET - The target resource has been deleted.
The amount of time, in seconds, for the switchover to complete.
Default: 300
If the switchover takes longer than the specified duration, then any changes are rolled back, and no changes are made to the environments.
', ], ], 'TStamp' => [ 'base' => NULL, 'refs' => [ 'BacktrackDBClusterMessage$BacktrackTo' => 'The timestamp of the time to backtrack the DB cluster to, specified in ISO 8601 format. For more information about ISO 8601, see the ISO8601 Wikipedia page.
If the specified time isn\'t a consistent time for the DB cluster, Aurora automatically chooses the nearest possible consistent time for the DB cluster.
Constraints:
Must contain a valid ISO 8601 timestamp.
Can\'t contain a timestamp set in the future.
Example: 2017-07-08T18:00Z
The time when the blue/green deployment was created, in Universal Coordinated Time (UTC).
', 'BlueGreenDeployment$DeleteTime' => 'The time when the blue/green deployment was deleted, in Universal Coordinated Time (UTC).
', 'Certificate$ValidFrom' => 'The starting date from which the certificate is valid.
', 'Certificate$ValidTill' => 'The final date that the certificate continues to be valid.
', 'Certificate$CustomerOverrideValidTill' => 'If there is an override for the default certificate identifier, when the override expires.
', 'CertificateDetails$ValidTill' => 'The expiration date of the DB instance’s server certificate.
', 'DBCluster$AutomaticRestartTime' => 'The time when a stopped DB cluster is restarted automatically.
', 'DBCluster$EarliestRestorableTime' => 'The earliest time to which a database can be restored with point-in-time restore.
', 'DBCluster$LatestRestorableTime' => 'The latest time to which a database can be restored with point-in-time restore.
', 'DBCluster$ClusterCreateTime' => 'The time when the DB cluster was created, in Universal Coordinated Time (UTC).
', 'DBCluster$EarliestBacktrackTime' => 'The earliest time to which a DB cluster can be backtracked.
', 'DBCluster$IOOptimizedNextAllowedModificationTime' => 'The next time you can modify the DB cluster to use the aurora-iopt1 storage type.
This setting is only for Aurora DB clusters.
', 'DBClusterAutomatedBackup$ClusterCreateTime' => 'The time when the DB cluster was created, in Universal Coordinated Time (UTC).
', 'DBClusterBacktrack$BacktrackTo' => 'The timestamp of the time to which the DB cluster was backtracked.
', 'DBClusterBacktrack$BacktrackedFrom' => 'The timestamp of the time from which the DB cluster was backtracked.
', 'DBClusterBacktrack$BacktrackRequestCreationTime' => 'The timestamp of the time at which the backtrack was requested.
', 'DBClusterSnapshot$SnapshotCreateTime' => 'The time when the snapshot was taken, in Universal Coordinated Time (UTC).
', 'DBClusterSnapshot$ClusterCreateTime' => 'The time when the DB cluster was created, in Universal Coordinated Time (UTC).
', 'DBEngineVersion$CreateTime' => 'The creation time of the DB engine version.
', 'DBInstance$AutomaticRestartTime' => 'The time when a stopped DB instance is restarted automatically.
', 'DBInstance$InstanceCreateTime' => 'The date and time when the DB instance was created.
', 'DBInstance$LatestRestorableTime' => 'The latest time to which a database in this DB instance can be restored with point-in-time restore.
', 'DBInstance$ResumeFullAutomationModeTime' => 'The number of minutes to pause the automation. When the time period ends, RDS Custom resumes full automation. The minimum value is 60 (default). The maximum value is 1,440.
', 'DBInstanceAutomatedBackup$InstanceCreateTime' => 'The date and time when the DB instance was created.
', 'DBProxy$CreatedDate' => 'The date and time when the proxy was first created.
', 'DBProxy$UpdatedDate' => 'The date and time when the proxy was last updated.
', 'DBProxyEndpoint$CreatedDate' => 'The date and time when the DB proxy endpoint was first created.
', 'DBProxyTargetGroup$CreatedDate' => 'The date and time when the target group was first created.
', 'DBProxyTargetGroup$UpdatedDate' => 'The date and time when the target group was last updated.
', 'DBRecommendation$CreatedTime' => 'The time when the recommendation was created. For example, 2023-09-28T01:13:53.931000+00:00.
The time when the recommendation was last updated.
', 'DBSnapshot$SnapshotCreateTime' => 'Specifies when the snapshot was taken in Coordinated Universal Time (UTC). Changes for the copy when the snapshot is copied.
', 'DBSnapshot$InstanceCreateTime' => 'Specifies the time in Coordinated Universal Time (UTC) when the DB instance, from which the snapshot was taken, was created.
', 'DBSnapshot$OriginalSnapshotCreateTime' => 'Specifies the time of the CreateDBSnapshot operation in Coordinated Universal Time (UTC). Doesn\'t change when the snapshot is copied.
', 'DBSnapshot$SnapshotDatabaseTime' => 'The timestamp of the most recent transaction applied to the database that you\'re backing up. Thus, if you restore a snapshot, SnapshotDatabaseTime is the most recent transaction in the restored DB instance. In contrast, originalSnapshotCreateTime specifies the system time that the snapshot completed.
If you back up a read replica, you can determine the replica lag by comparing SnapshotDatabaseTime with originalSnapshotCreateTime. For example, if originalSnapshotCreateTime is two hours later than SnapshotDatabaseTime, then the replica lag is two hours.
', 'DBSnapshotTenantDatabase$TenantDatabaseCreateTime' => 'The time the DB snapshot was taken, specified in Coordinated Universal Time (UTC). If you copy the snapshot, the creation time changes.
', 'DescribeDBRecommendationsMessage$LastUpdatedAfter' => 'A filter to include only the recommendations that were updated after this specified time.
', 'DescribeDBRecommendationsMessage$LastUpdatedBefore' => 'A filter to include only the recommendations that were updated before this specified time.
', 'DescribeEventsMessage$StartTime' => 'The beginning of the time interval to retrieve events for, specified in ISO 8601 format. For more information about ISO 8601, go to the ISO8601 Wikipedia page.
Example: 2009-07-08T18:00Z
', 'DescribeEventsMessage$EndTime' => 'The end of the time interval for which to retrieve events, specified in ISO 8601 format. For more information about ISO 8601, go to the ISO8601 Wikipedia page.
Example: 2009-07-08T18:00Z
', 'Event$Date' => 'Specifies the date and time of the event.
', 'ExportTask$SnapshotTime' => 'The time when the snapshot was created.
', 'ExportTask$TaskStartTime' => 'The time when the snapshot or cluster export task started.
', 'ExportTask$TaskEndTime' => 'The time when the snapshot or cluster export task ended.
', 'Integration$CreateTime' => 'The time when the integration was created, in Universal Coordinated Time (UTC).
', 'OptionGroup$CopyTimestamp' => 'Indicates when the option group was copied.
', 'PendingMaintenanceAction$AutoAppliedAfterDate' => 'The date of the maintenance window when the action is applied. The maintenance action is applied to the resource during its first maintenance window after this date.
', 'PendingMaintenanceAction$ForcedApplyDate' => 'The date when the maintenance action is automatically applied.
On this date, the maintenance action is applied to the resource as soon as possible, regardless of the maintenance window for the resource. There might be a delay of one or more days from this date before the maintenance action is applied.
', 'PendingMaintenanceAction$CurrentApplyDate' => 'The effective date when the pending maintenance action is applied to the resource. This date takes into account opt-in requests received from the ApplyPendingMaintenanceAction API, the AutoAppliedAfterDate, and the ForcedApplyDate. This value is blank if an opt-in request has not been received and nothing has been specified as AutoAppliedAfterDate or ForcedApplyDate.
The number of minutes to pause the automation. When the time period ends, RDS Custom resumes full automation. The minimum value is 60 (default). The maximum value is 1,440.
', 'PerformanceIssueDetails$StartTime' => 'The time when the performance issue started.
', 'PerformanceIssueDetails$EndTime' => 'The time when the performance issue stopped.
', 'ReservedDBInstance$StartTime' => 'The time the reservation started.
', 'RestoreDBClusterToPointInTimeMessage$RestoreToTime' => 'The date and time to restore the DB cluster to.
Valid Values: Value must be a time in Universal Coordinated Time (UTC) format
Constraints:
Must be before the latest restorable time for the DB instance
Must be specified if UseLatestRestorableTime parameter isn\'t provided
Can\'t be specified if the UseLatestRestorableTime parameter is enabled
Can\'t be specified if the RestoreType parameter is copy-on-write
Example: 2015-03-07T23:45:00Z
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBInstanceToPointInTimeMessage$RestoreTime' => 'The date and time to restore from.
Constraints:
Must be a time in Universal Coordinated Time (UTC) format.
Must be before the latest restorable time for the DB instance.
Can\'t be specified if the UseLatestRestorableTime parameter is enabled.
Example: 2009-09-07T23:45:00Z
The earliest time you can restore an instance to.
', 'RestoreWindow$LatestTime' => 'The latest time you can restore an instance to.
', 'TenantDatabase$TenantDatabaseCreateTime' => 'The creation time of the tenant database.
', ], ], 'Tag' => [ 'base' => 'Metadata assigned to an Amazon RDS resource consisting of a key-value pair.
For more information, see Tagging Amazon RDS resources in the Amazon RDS User Guide or Tagging Amazon Aurora and Amazon RDS resources in the Amazon Aurora User Guide.
', 'refs' => [ 'TagList$member' => NULL, ], ], 'TagList' => [ 'base' => 'A list of tags.
For more information, see Tagging Amazon RDS resources in the Amazon RDS User Guide or Tagging Amazon Aurora and Amazon RDS resources in the Amazon Aurora User Guide.
', 'refs' => [ 'AddTagsToResourceMessage$Tags' => 'The tags to be assigned to the Amazon RDS resource.
', 'BlueGreenDeployment$TagList' => NULL, 'CopyDBClusterParameterGroupMessage$Tags' => NULL, 'CopyDBClusterSnapshotMessage$Tags' => NULL, 'CopyDBParameterGroupMessage$Tags' => NULL, 'CopyDBSnapshotMessage$Tags' => NULL, 'CopyOptionGroupMessage$Tags' => NULL, 'CreateBlueGreenDeploymentRequest$Tags' => 'Tags to assign to the blue/green deployment.
', 'CreateCustomDBEngineVersionMessage$Tags' => NULL, 'CreateDBClusterEndpointMessage$Tags' => 'The tags to be assigned to the Amazon RDS resource.
', 'CreateDBClusterMessage$Tags' => 'Tags to assign to the DB cluster.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterParameterGroupMessage$Tags' => 'Tags to assign to the DB cluster parameter group.
', 'CreateDBClusterSnapshotMessage$Tags' => 'The tags to be assigned to the DB cluster snapshot.
', 'CreateDBInstanceMessage$Tags' => 'Tags to assign to the DB instance.
', 'CreateDBInstanceReadReplicaMessage$Tags' => NULL, 'CreateDBParameterGroupMessage$Tags' => 'Tags to assign to the DB parameter group.
', 'CreateDBProxyEndpointRequest$Tags' => NULL, 'CreateDBProxyRequest$Tags' => 'An optional set of key-value pairs to associate arbitrary data of your choosing with the proxy.
', 'CreateDBSecurityGroupMessage$Tags' => 'Tags to assign to the DB security group.
', 'CreateDBShardGroupMessage$Tags' => NULL, 'CreateDBSnapshotMessage$Tags' => NULL, 'CreateDBSubnetGroupMessage$Tags' => 'Tags to assign to the DB subnet group.
', 'CreateEventSubscriptionMessage$Tags' => NULL, 'CreateGlobalClusterMessage$Tags' => 'Tags to assign to the global cluster.
', 'CreateIntegrationMessage$Tags' => NULL, 'CreateOptionGroupMessage$Tags' => 'Tags to assign to the option group.
', 'CreateTenantDatabaseMessage$Tags' => NULL, 'DBCluster$TagList' => NULL, 'DBClusterSnapshot$TagList' => NULL, 'DBEngineVersion$TagList' => NULL, 'DBInstance$TagList' => NULL, 'DBShardGroup$TagList' => NULL, 'DBSnapshot$TagList' => NULL, 'DBSnapshotTenantDatabase$TagList' => NULL, 'GlobalCluster$TagList' => NULL, 'Integration$Tags' => NULL, 'PurchaseReservedDBInstancesOfferingMessage$Tags' => NULL, 'RestoreDBClusterFromS3Message$Tags' => NULL, 'RestoreDBClusterFromSnapshotMessage$Tags' => 'The tags to be assigned to the restored DB cluster.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$Tags' => NULL, 'RestoreDBInstanceFromDBSnapshotMessage$Tags' => NULL, 'RestoreDBInstanceFromS3Message$Tags' => 'A list of tags to associate with this DB instance. For more information, see Tagging Amazon RDS Resources in the Amazon RDS User Guide.
', 'RestoreDBInstanceToPointInTimeMessage$Tags' => NULL, 'TagListMessage$TagList' => 'List of tags returned by the ListTagsForResource operation.
The DB cluster parameter group associated with the Aurora DB cluster in the green environment.
To test parameter changes, specify a DB cluster parameter group that is different from the one associated with the source DB cluster.
', ], ], 'TargetDBInstanceClass' => [ 'base' => NULL, 'refs' => [ 'CreateBlueGreenDeploymentRequest$TargetDBInstanceClass' => 'Specify the DB instance class for the databases in the green environment.
This parameter only applies to RDS DB instances, because DB instances within an Aurora DB cluster can have multiple different instance classes. If you\'re creating a blue/green deployment from an Aurora DB cluster, don\'t specify this parameter. After the green environment is created, you can individually modify the instance classes of the DB instances within the green DB cluster.
', ], ], 'TargetDBParameterGroupName' => [ 'base' => NULL, 'refs' => [ 'CreateBlueGreenDeploymentRequest$TargetDBParameterGroupName' => 'The DB parameter group associated with the DB instance in the green environment.
To test parameter changes, specify a DB parameter group that is different from the one associated with the source DB instance.
', ], ], 'TargetEngineVersion' => [ 'base' => NULL, 'refs' => [ 'CreateBlueGreenDeploymentRequest$TargetEngineVersion' => 'The engine version of the database in the green environment.
Specify the engine version to upgrade to in the green environment.
', ], ], 'TargetGroupList' => [ 'base' => NULL, 'refs' => [ 'DescribeDBProxyTargetGroupsResponse$TargetGroups' => 'An arbitrary number of DBProxyTargetGroup objects, containing details of the corresponding target groups.
Information about the connection health of an RDS Proxy target.
', 'refs' => [ 'DBProxyTarget$TargetHealth' => 'Information about the connection health of the RDS Proxy target.
', ], ], 'TargetHealthReason' => [ 'base' => NULL, 'refs' => [ 'TargetHealth$Reason' => 'The reason for the current health State of the RDS Proxy target.
An arbitrary number of DBProxyTarget objects, containing details of the corresponding targets.
One or more DBProxyTarget objects that are created when you register targets with a target group.
A value that indicates whether the target of the proxy can be used for read/write or read-only operations.
', ], ], 'TargetState' => [ 'base' => NULL, 'refs' => [ 'TargetHealth$State' => 'The current state of the connection health lifecycle for the RDS Proxy target. The following is a typical lifecycle example for the states of an RDS Proxy target:
registering > unavailable > available > unavailable > available
The storage type to associate with the green DB instance.
Valid Values: gp2 | gp3 | io1 | io2
This setting doesn\'t apply to Amazon Aurora blue/green deployments.
', ], ], 'TargetType' => [ 'base' => NULL, 'refs' => [ 'DBProxyTarget$Type' => 'Specifies the kind of database, such as an RDS DB instance or an Aurora DB cluster, that the target represents.
', ], ], 'TenantDatabase' => [ 'base' => 'A tenant database in the DB instance. This data type is an element in the response to the DescribeTenantDatabases action.
You attempted to either create a tenant database that already exists or modify a tenant database to use the name of an existing tenant database.
', 'refs' => [], ], 'TenantDatabaseNotFoundFault' => [ 'base' => 'The specified tenant database wasn\'t found in the DB instance.
', 'refs' => [], ], 'TenantDatabasePendingModifiedValues' => [ 'base' => 'A response element in the ModifyTenantDatabase operation that describes changes that will be applied. Specific changes are identified by subelements.
Information about pending changes for a tenant database.
', ], ], 'TenantDatabaseQuotaExceededFault' => [ 'base' => 'You attempted to create more tenant databases than are permitted in your Amazon Web Services account.
', 'refs' => [], ], 'TenantDatabasesList' => [ 'base' => NULL, 'refs' => [ 'TenantDatabasesMessage$TenantDatabases' => 'An array of the tenant databases requested by the DescribeTenantDatabases operation.
A time zone associated with a DBInstance or a DBSnapshot. This data type is an element in the response to the DescribeDBInstances, the DescribeDBSnapshots, and the DescribeDBEngineVersions actions.
The specified DB engine version isn\'t supported for Aurora Limitless Database.
', 'refs' => [], ], 'UpgradeTarget' => [ 'base' => 'The version of the database engine that a DB instance can be upgraded to.
', 'refs' => [ 'ValidUpgradeTargetList$member' => NULL, ], ], 'UserAuthConfig' => [ 'base' => 'Specifies the details of authentication used by a proxy to log in as a specific database user.
', 'refs' => [ 'UserAuthConfigList$member' => NULL, ], ], 'UserAuthConfigInfo' => [ 'base' => 'Returns the details of authentication used by a proxy to log in as a specific database user.
', 'refs' => [ 'UserAuthConfigInfoList$member' => NULL, ], ], 'UserAuthConfigInfoList' => [ 'base' => NULL, 'refs' => [ 'DBProxy$Auth' => 'One or more data structures specifying the authorization mechanism to connect to the associated RDS DB instance or Aurora DB cluster.
', ], ], 'UserAuthConfigList' => [ 'base' => NULL, 'refs' => [ 'CreateDBProxyRequest$Auth' => 'The authorization mechanism that the proxy uses.
', 'ModifyDBProxyRequest$Auth' => 'The new authentication settings for the DBProxy.
Information about valid modifications that you can make to your DB instance. Contains the result of a successful call to the DescribeValidDBInstanceModifications action. You can use this information when you call ModifyDBInstance.
Information about valid modifications that you can make to your DB instance. Contains the result of a successful call to the DescribeValidDBInstanceModifications action.
Valid storage options for your DB instance.
', ], ], 'ValidUpgradeTargetList' => [ 'base' => NULL, 'refs' => [ 'DBEngineVersion$ValidUpgradeTarget' => 'A list of engine versions that this database engine version can be upgraded to.
', ], ], 'VpcSecurityGroupIdList' => [ 'base' => NULL, 'refs' => [ 'CreateDBClusterMessage$VpcSecurityGroupIds' => 'A list of EC2 VPC security groups to associate with this DB cluster.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBInstanceMessage$VpcSecurityGroupIds' => 'A list of Amazon EC2 VPC security groups to associate with this DB instance.
This setting doesn\'t apply to Amazon Aurora DB instances. The associated list of EC2 VPC security groups is managed by the DB cluster.
Default: The default EC2 VPC security group for the DB subnet group\'s VPC.
', 'CreateDBInstanceReadReplicaMessage$VpcSecurityGroupIds' => 'A list of Amazon EC2 VPC security groups to associate with the read replica.
This setting doesn\'t apply to RDS Custom DB instances.
Default: The default EC2 VPC security group for the DB subnet group\'s VPC.
', 'ModifyDBClusterMessage$VpcSecurityGroupIds' => 'A list of EC2 VPC security groups to associate with this DB cluster.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBInstanceMessage$VpcSecurityGroupIds' => 'A list of Amazon EC2 VPC security groups to associate with this DB instance. This change is asynchronously applied as soon as possible.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora (The associated list of EC2 VPC security groups is managed by the DB cluster. For more information, see ModifyDBCluster.)
RDS Custom
Constraints:
If supplied, must match existing VPC security group IDs.
A list of VPC security group names used for this option.
', 'RestoreDBClusterFromS3Message$VpcSecurityGroupIds' => 'A list of EC2 VPC security groups to associate with the restored DB cluster.
', 'RestoreDBClusterFromSnapshotMessage$VpcSecurityGroupIds' => 'A list of VPC security groups that the new DB cluster will belong to.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$VpcSecurityGroupIds' => 'A list of VPC security groups that the new DB cluster belongs to.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBInstanceFromDBSnapshotMessage$VpcSecurityGroupIds' => 'A list of EC2 VPC security groups to associate with this DB instance.
Default: The default EC2 VPC security group for the DB subnet group\'s VPC.
', 'RestoreDBInstanceFromS3Message$VpcSecurityGroupIds' => 'A list of VPC security groups to associate with this DB instance.
', 'RestoreDBInstanceToPointInTimeMessage$VpcSecurityGroupIds' => 'A list of EC2 VPC security groups to associate with this DB instance.
Default: The default EC2 VPC security group for the DB subnet group\'s VPC.
', ], ], 'VpcSecurityGroupMembership' => [ 'base' => 'This data type is used as a response element for queries on VPC security group membership.
', 'refs' => [ 'VpcSecurityGroupMembershipList$member' => NULL, ], ], 'VpcSecurityGroupMembershipList' => [ 'base' => NULL, 'refs' => [ 'DBCluster$VpcSecurityGroups' => 'The list of VPC security groups that the DB cluster belongs to.
', 'DBInstance$VpcSecurityGroups' => 'The list of Amazon EC2 VPC security groups that the DB instance belongs to.
', 'Option$VpcSecurityGroupMemberships' => 'If the option requires access to a port, then this VPC security group allows access to the port.
', ], ], 'WriteForwardingStatus' => [ 'base' => NULL, 'refs' => [ 'DBCluster$GlobalWriteForwardingStatus' => 'The status of write forwarding for a secondary cluster in an Aurora global database.
', 'GlobalClusterMember$GlobalWriteForwardingStatus' => 'The status of write forwarding for a secondary cluster in the global cluster.
', ], ], ],]; +return [ 'version' => '2.0', 'service' => 'Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. It provides cost-efficient, resizeable capacity for an industry-standard relational database and manages common database administration tasks, freeing up developers to focus on what makes their applications and businesses unique.
Amazon RDS gives you access to the capabilities of a MySQL, MariaDB, PostgreSQL, Microsoft SQL Server, Oracle, Db2, or Amazon Aurora database server. These capabilities mean that the code, applications, and tools you already use today with your existing databases work with Amazon RDS without modification. Amazon RDS automatically backs up your database and maintains the database software that powers your DB instance. Amazon RDS is flexible: you can scale your DB instance\'s compute resources and storage capacity to meet your application\'s demand. As with all Amazon Web Services, there are no up-front investments, and you pay only for the resources you use.
This interface reference for Amazon RDS contains documentation for a programming or command line interface you can use to manage Amazon RDS. Amazon RDS is asynchronous, which means that some interfaces might require techniques such as polling or callback functions to determine when a command has been applied. In this reference, the parameter descriptions indicate whether a command is applied immediately, on the next instance reboot, or during the maintenance window. The reference structure is as follows, and we list following some related topics from the user guide.
Amazon RDS API Reference
For the alphabetical list of API actions, see API Actions.
For the alphabetical list of data types, see Data Types.
For a list of common query parameters, see Common Parameters.
For descriptions of the error codes, see Common Errors.
Amazon RDS User Guide
For a summary of the Amazon RDS interfaces, see Available RDS Interfaces.
For more information about how to use the Query API, see Using the Query API.
Associates an Identity and Access Management (IAM) role with a DB cluster.
', 'AddRoleToDBInstance' => 'Associates an Amazon Web Services Identity and Access Management (IAM) role with a DB instance.
To add a role to a DB instance, the status of the DB instance must be available.
This command doesn\'t apply to RDS Custom.
', 'AddSourceIdentifierToSubscription' => 'Adds a source identifier to an existing RDS event notification subscription.
', 'AddTagsToResource' => 'Adds metadata tags to an Amazon RDS resource. These tags can also be used with cost allocation reporting to track cost associated with Amazon RDS resources, or used in a Condition statement in an IAM policy for Amazon RDS.
For an overview on tagging your relational database resources, see Tagging Amazon RDS Resources or Tagging Amazon Aurora and Amazon RDS Resources.
', 'ApplyPendingMaintenanceAction' => 'Applies a pending maintenance action to a resource (for example, to a DB instance).
', 'AuthorizeDBSecurityGroupIngress' => 'Enables ingress to a DBSecurityGroup using one of two forms of authorization. First, EC2 or VPC security groups can be added to the DBSecurityGroup if the application using the database is running on EC2 or VPC instances. Second, IP ranges are available if the application accessing your database is running on the internet. Required parameters for this API are one of CIDR range, EC2SecurityGroupId for VPC, or (EC2SecurityGroupOwnerId and either EC2SecurityGroupName or EC2SecurityGroupId for non-VPC).
You can\'t authorize ingress from an EC2 security group in one Amazon Web Services Region to an Amazon RDS DB instance in another. You can\'t authorize ingress from a VPC security group in one VPC to an Amazon RDS DB instance in another.
For an overview of CIDR ranges, go to the Wikipedia Tutorial.
EC2-Classic was retired on August 15, 2022. If you haven\'t migrated from EC2-Classic to a VPC, we recommend that you migrate as soon as possible. For more information, see Migrate from EC2-Classic to a VPC in the Amazon EC2 User Guide, the blog EC2-Classic Networking is Retiring – Here’s How to Prepare, and Moving a DB instance not in a VPC into a VPC in the Amazon RDS User Guide.
Backtracks a DB cluster to a specific time, without creating a new DB cluster.
For more information on backtracking, see Backtracking an Aurora DB Cluster in the Amazon Aurora User Guide.
This action applies only to Aurora MySQL DB clusters.
Cancels an export task in progress that is exporting a snapshot or cluster to Amazon S3. Any data that has already been written to the S3 bucket isn\'t removed.
', 'CopyDBClusterParameterGroup' => 'Copies the specified DB cluster parameter group.
You can\'t copy a default DB cluster parameter group. Instead, create a new custom DB cluster parameter group, which copies the default parameters and values for the specified DB cluster parameter group family.
Copies a snapshot of a DB cluster.
To copy a DB cluster snapshot from a shared manual DB cluster snapshot, SourceDBClusterSnapshotIdentifier must be the Amazon Resource Name (ARN) of the shared DB cluster snapshot.
You can copy an encrypted DB cluster snapshot from another Amazon Web Services Region. In that case, the Amazon Web Services Region where you call the CopyDBClusterSnapshot operation is the destination Amazon Web Services Region for the encrypted DB cluster snapshot to be copied to. To copy an encrypted DB cluster snapshot from another Amazon Web Services Region, you must provide the following values:
KmsKeyId - The Amazon Web Services Key Management System (Amazon Web Services KMS) key identifier for the key to use to encrypt the copy of the DB cluster snapshot in the destination Amazon Web Services Region.
TargetDBClusterSnapshotIdentifier - The identifier for the new copy of the DB cluster snapshot in the destination Amazon Web Services Region.
SourceDBClusterSnapshotIdentifier - The DB cluster snapshot identifier for the encrypted DB cluster snapshot to be copied. This identifier must be in the ARN format for the source Amazon Web Services Region and is the same value as the SourceDBClusterSnapshotIdentifier in the presigned URL.
To cancel the copy operation once it is in progress, delete the target DB cluster snapshot identified by TargetDBClusterSnapshotIdentifier while that DB cluster snapshot is in "copying" status.
For more information on copying encrypted Amazon Aurora DB cluster snapshots from one Amazon Web Services Region to another, see Copying a Snapshot in the Amazon Aurora User Guide.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'CopyDBParameterGroup' => 'Copies the specified DB parameter group.
You can\'t copy a default DB parameter group. Instead, create a new custom DB parameter group, which copies the default parameters and values for the specified DB parameter group family.
Copies the specified DB snapshot. The source DB snapshot must be in the available state.
You can copy a snapshot from one Amazon Web Services Region to another. In that case, the Amazon Web Services Region where you call the CopyDBSnapshot operation is the destination Amazon Web Services Region for the DB snapshot copy.
This command doesn\'t apply to RDS Custom.
For more information about copying snapshots, see Copying a DB Snapshot in the Amazon RDS User Guide.
', 'CopyOptionGroup' => 'Copies the specified option group.
', 'CreateBlueGreenDeployment' => 'Creates a blue/green deployment.
A blue/green deployment creates a staging environment that copies the production environment. In a blue/green deployment, the blue environment is the current production environment. The green environment is the staging environment, and it stays in sync with the current production environment.
You can make changes to the databases in the green environment without affecting production workloads. For example, you can upgrade the major or minor DB engine version, change database parameters, or make schema changes in the staging environment. You can thoroughly test changes in the green environment. When ready, you can switch over the environments to promote the green environment to be the new production environment. The switchover typically takes under a minute.
For more information, see Using Amazon RDS Blue/Green Deployments for database updates in the Amazon RDS User Guide and Using Amazon RDS Blue/Green Deployments for database updates in the Amazon Aurora User Guide.
', 'CreateCustomDBEngineVersion' => 'Creates a custom DB engine version (CEV).
', 'CreateDBCluster' => 'Creates a new Amazon Aurora DB cluster or Multi-AZ DB cluster.
If you create an Aurora DB cluster, the request creates an empty cluster. You must explicitly create the writer instance for your DB cluster using the CreateDBInstance operation. If you create a Multi-AZ DB cluster, the request creates a writer and two reader DB instances for you, each in a different Availability Zone.
You can use the ReplicationSourceIdentifier parameter to create an Amazon Aurora DB cluster as a read replica of another DB cluster or Amazon RDS for MySQL or PostgreSQL DB instance. For more information about Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
You can also use the ReplicationSourceIdentifier parameter to create a Multi-AZ DB cluster read replica with an RDS for MySQL or PostgreSQL DB instance as the source. For more information about Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
Creates a new custom endpoint and associates it with an Amazon Aurora DB cluster.
This action applies only to Aurora DB clusters.
Creates a new DB cluster parameter group.
Parameters in a DB cluster parameter group apply to all of the instances in a DB cluster.
A DB cluster parameter group is initially created with the default parameters for the database engine used by instances in the DB cluster. To provide custom values for any of the parameters, you must modify the group after creating it using ModifyDBClusterParameterGroup. Once you\'ve created a DB cluster parameter group, you need to associate it with your DB cluster using ModifyDBCluster.
When you associate a new DB cluster parameter group with a running Aurora DB cluster, reboot the DB instances in the DB cluster without failover for the new DB cluster parameter group and associated settings to take effect.
When you associate a new DB cluster parameter group with a running Multi-AZ DB cluster, reboot the DB cluster without failover for the new DB cluster parameter group and associated settings to take effect.
After you create a DB cluster parameter group, you should wait at least 5 minutes before creating your first DB cluster that uses that DB cluster parameter group as the default parameter group. This allows Amazon RDS to fully complete the create action before the DB cluster parameter group is used as the default for a new DB cluster. This is especially important for parameters that are critical when creating the default database for a DB cluster, such as the character set for the default database defined by the character_set_database parameter. You can use the Parameter Groups option of the Amazon RDS console or the DescribeDBClusterParameters operation to verify that your DB cluster parameter group has been created or modified.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'CreateDBClusterSnapshot' => 'Creates a snapshot of a DB cluster.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'CreateDBInstance' => 'Creates a new DB instance.
The new DB instance can be an RDS DB instance, or it can be a DB instance in an Aurora DB cluster. For an Aurora DB cluster, you can call this operation multiple times to add more than one DB instance to the cluster.
For more information about creating an RDS DB instance, see Creating an Amazon RDS DB instance in the Amazon RDS User Guide.
For more information about creating a DB instance in an Aurora DB cluster, see Creating an Amazon Aurora DB cluster in the Amazon Aurora User Guide.
', 'CreateDBInstanceReadReplica' => 'Creates a new DB instance that acts as a read replica for an existing source DB instance or Multi-AZ DB cluster. You can create a read replica for a DB instance running Db2, MariaDB, MySQL, Oracle, PostgreSQL, or SQL Server. You can create a read replica for a Multi-AZ DB cluster running MySQL or PostgreSQL. For more information, see Working with read replicas and Migrating from a Multi-AZ DB cluster to a DB instance using a read replica in the Amazon RDS User Guide.
Amazon Aurora doesn\'t support this operation. To create a DB instance for an Aurora DB cluster, use the CreateDBInstance operation.
All read replica DB instances are created with backups disabled. All other attributes (including DB security groups and DB parameter groups) are inherited from the source DB instance or cluster, except as specified.
Your source DB instance or cluster must have backup retention enabled.
Creates a new DB parameter group.
A DB parameter group is initially created with the default parameters for the database engine used by the DB instance. To provide custom values for any of the parameters, you must modify the group after creating it using ModifyDBParameterGroup. Once you\'ve created a DB parameter group, you need to associate it with your DB instance using ModifyDBInstance. When you associate a new DB parameter group with a running DB instance, you need to reboot the DB instance without failover for the new DB parameter group and associated settings to take effect.
This command doesn\'t apply to RDS Custom.
After you create a DB parameter group, you should wait at least 5 minutes before creating your first DB instance that uses that DB parameter group as the default parameter group. This allows Amazon RDS to fully complete the create action before the parameter group is used as the default for a new DB instance. This is especially important for parameters that are critical when creating the default database for a DB instance, such as the character set for the default database defined by the character_set_database parameter. You can use the Parameter Groups option of the Amazon RDS console or the DescribeDBParameters command to verify that your DB parameter group has been created or modified.
Creates a new DB proxy.
', 'CreateDBProxyEndpoint' => 'Creates a DBProxyEndpoint. Only applies to proxies that are associated with Aurora DB clusters. You can use DB proxy endpoints to specify read/write or read-only access to the DB cluster. You can also use DB proxy endpoints to access a DB proxy through a different VPC than the proxy\'s default VPC.
Creates a new DB security group. DB security groups control access to a DB instance.
A DB security group controls access to EC2-Classic DB instances that are not in a VPC.
EC2-Classic was retired on August 15, 2022. If you haven\'t migrated from EC2-Classic to a VPC, we recommend that you migrate as soon as possible. For more information, see Migrate from EC2-Classic to a VPC in the Amazon EC2 User Guide, the blog EC2-Classic Networking is Retiring – Here’s How to Prepare, and Moving a DB instance not in a VPC into a VPC in the Amazon RDS User Guide.
Creates a new DB shard group for Aurora Limitless Database. You must enable Aurora Limitless Database to create a DB shard group.
Valid for: Aurora DB clusters only
', 'CreateDBSnapshot' => 'Creates a snapshot of a DB instance. The source DB instance must be in the available or storage-optimization state.
Creates a new DB subnet group. DB subnet groups must contain at least one subnet in at least two AZs in the Amazon Web Services Region.
', 'CreateEventSubscription' => 'Creates an RDS event notification subscription. This operation requires a topic Amazon Resource Name (ARN) created by either the RDS console, the SNS console, or the SNS API. To obtain an ARN with SNS, you must create a topic in Amazon SNS and subscribe to the topic. The ARN is displayed in the SNS console.
You can specify the type of source (SourceType) that you want to be notified of and provide a list of RDS sources (SourceIds) that triggers the events. You can also provide a list of event categories (EventCategories) for events that you want to be notified of. For example, you can specify SourceType = db-instance, SourceIds = mydbinstance1, mydbinstance2 and EventCategories = Availability, Backup.
If you specify both the SourceType and SourceIds, such as SourceType = db-instance and SourceIds = myDBInstance1, you are notified of all the db-instance events for the specified source. If you specify a SourceType but do not specify SourceIds, you receive notice of the events for that source type for all your RDS sources. If you don\'t specify either the SourceType or the SourceIds, you are notified of events generated from all RDS sources belonging to your customer account.
For more information about subscribing to an event for RDS DB engines, see Subscribing to Amazon RDS event notification in the Amazon RDS User Guide.
For more information about subscribing to an event for Aurora DB engines, see Subscribing to Amazon RDS event notification in the Amazon Aurora User Guide.
', 'CreateGlobalCluster' => 'Creates an Aurora global database spread across multiple Amazon Web Services Regions. The global database contains a single primary cluster with read-write capability, and a read-only secondary cluster that receives data from the primary cluster through high-speed replication performed by the Aurora storage subsystem.
You can create a global database that is initially empty, and then create the primary and secondary DB clusters in the global database. Or you can specify an existing Aurora cluster during the create operation, and this cluster becomes the primary cluster of the global database.
This operation applies only to Aurora DB clusters.
Creates a zero-ETL integration with Amazon Redshift.
', 'CreateOptionGroup' => 'Creates a new option group. You can create up to 20 option groups.
This command doesn\'t apply to RDS Custom.
', 'CreateTenantDatabase' => 'Creates a tenant database in a DB instance that uses the multi-tenant configuration. Only RDS for Oracle container database (CDB) instances are supported.
', 'DeleteBlueGreenDeployment' => 'Deletes a blue/green deployment.
For more information, see Using Amazon RDS Blue/Green Deployments for database updates in the Amazon RDS User Guide and Using Amazon RDS Blue/Green Deployments for database updates in the Amazon Aurora User Guide.
', 'DeleteCustomDBEngineVersion' => 'Deletes a custom engine version. To run this command, make sure you meet the following prerequisites:
The CEV must not be the default for RDS Custom. If it is, change the default before running this command.
The CEV must not be associated with an RDS Custom DB instance, RDS Custom instance snapshot, or automated backup of your RDS Custom instance.
Typically, deletion takes a few minutes.
The MediaImport service that imports files from Amazon S3 to create CEVs isn\'t integrated with Amazon Web Services CloudTrail. If you turn on data logging for Amazon RDS in CloudTrail, calls to the DeleteCustomDbEngineVersion event aren\'t logged. However, you might see calls from the API gateway that accesses your Amazon S3 bucket. These calls originate from the MediaImport service for the DeleteCustomDbEngineVersion event.
For more information, see Deleting a CEV in the Amazon RDS User Guide.
', 'DeleteDBCluster' => 'The DeleteDBCluster action deletes a previously provisioned DB cluster. When you delete a DB cluster, all automated backups for that DB cluster are deleted and can\'t be recovered. Manual DB cluster snapshots of the specified DB cluster are not deleted.
If you\'re deleting a Multi-AZ DB cluster with read replicas, all cluster members are terminated and read replicas are promoted to standalone instances.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'DeleteDBClusterAutomatedBackup' => 'Deletes automated backups using the DbClusterResourceId value of the source DB cluster or the Amazon Resource Name (ARN) of the automated backups.
Deletes a custom endpoint and removes it from an Amazon Aurora DB cluster.
This action only applies to Aurora DB clusters.
Deletes a specified DB cluster parameter group. The DB cluster parameter group to be deleted can\'t be associated with any DB clusters.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'DeleteDBClusterSnapshot' => 'Deletes a DB cluster snapshot. If the snapshot is being copied, the copy operation is terminated.
The DB cluster snapshot must be in the available state to be deleted.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'DeleteDBInstance' => 'Deletes a previously provisioned DB instance. When you delete a DB instance, all automated backups for that instance are deleted and can\'t be recovered. However, manual DB snapshots of the DB instance aren\'t deleted.
If you request a final DB snapshot, the status of the Amazon RDS DB instance is deleting until the DB snapshot is created. This operation can\'t be canceled or reverted after it begins. To monitor the status of this operation, use DescribeDBInstance.
When a DB instance is in a failure state and has a status of failed, incompatible-restore, or incompatible-network, you can only delete it when you skip creation of the final snapshot with the SkipFinalSnapshot parameter.
If the specified DB instance is part of an Amazon Aurora DB cluster, you can\'t delete the DB instance if both of the following conditions are true:
The DB cluster is a read replica of another Amazon Aurora DB cluster.
The DB instance is the only instance in the DB cluster.
To delete a DB instance in this case, first use the PromoteReadReplicaDBCluster operation to promote the DB cluster so that it\'s no longer a read replica. After the promotion completes, use the DeleteDBInstance operation to delete the final instance in the DB cluster.
For RDS Custom DB instances, deleting the DB instance permanently deletes the EC2 instance and the associated EBS volumes. Make sure that you don\'t terminate or delete these resources before you delete the DB instance. Otherwise, deleting the DB instance and creation of the final snapshot might fail.
Deletes automated backups using the DbiResourceId value of the source DB instance or the Amazon Resource Name (ARN) of the automated backups.
Deletes a specified DB parameter group. The DB parameter group to be deleted can\'t be associated with any DB instances.
', 'DeleteDBProxy' => 'Deletes an existing DB proxy.
', 'DeleteDBProxyEndpoint' => 'Deletes a DBProxyEndpoint. Doing so removes the ability to access the DB proxy using the endpoint that you defined. The endpoint that you delete might have provided capabilities such as read/write or read-only operations, or using a different VPC than the DB proxy\'s default VPC.
Deletes a DB security group.
The specified DB security group must not be associated with any DB instances.
EC2-Classic was retired on August 15, 2022. If you haven\'t migrated from EC2-Classic to a VPC, we recommend that you migrate as soon as possible. For more information, see Migrate from EC2-Classic to a VPC in the Amazon EC2 User Guide, the blog EC2-Classic Networking is Retiring – Here’s How to Prepare, and Moving a DB instance not in a VPC into a VPC in the Amazon RDS User Guide.
Deletes an Aurora Limitless Database DB shard group.
', 'DeleteDBSnapshot' => 'Deletes a DB snapshot. If the snapshot is being copied, the copy operation is terminated.
The DB snapshot must be in the available state to be deleted.
Deletes a DB subnet group.
The specified database subnet group must not be associated with any DB instances.
Deletes an RDS event notification subscription.
', 'DeleteGlobalCluster' => 'Deletes a global database cluster. The primary and secondary clusters must already be detached or destroyed first.
This action only applies to Aurora DB clusters.
Deletes a zero-ETL integration with Amazon Redshift.
', 'DeleteOptionGroup' => 'Deletes an existing option group.
', 'DeleteTenantDatabase' => 'Deletes a tenant database from your DB instance. This command only applies to RDS for Oracle container database (CDB) instances.
You can\'t delete a tenant database when it is the only tenant in the DB instance.
', 'DeregisterDBProxyTargets' => 'Remove the association between one or more DBProxyTarget data structures and a DBProxyTargetGroup.
Lists all of the attributes for a customer account. The attributes include Amazon RDS quotas for the account, such as the number of DB instances allowed. The description for a quota includes the quota name, current usage toward that quota, and the quota\'s maximum value.
This command doesn\'t take any parameters.
', 'DescribeBlueGreenDeployments' => 'Describes one or more blue/green deployments.
For more information, see Using Amazon RDS Blue/Green Deployments for database updates in the Amazon RDS User Guide and Using Amazon RDS Blue/Green Deployments for database updates in the Amazon Aurora User Guide.
', 'DescribeCertificates' => 'Lists the set of certificate authority (CA) certificates provided by Amazon RDS for this Amazon Web Services account.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'DescribeDBClusterAutomatedBackups' => 'Displays backups for both current and deleted DB clusters. For example, use this operation to find details about automated backups for previously deleted clusters. Current clusters are returned for both the DescribeDBClusterAutomatedBackups and DescribeDBClusters operations.
All parameters are optional.
', 'DescribeDBClusterBacktracks' => 'Returns information about backtracks for a DB cluster.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
This action only applies to Aurora MySQL DB clusters.
Returns information about endpoints for an Amazon Aurora DB cluster.
This action only applies to Aurora DB clusters.
Returns a list of DBClusterParameterGroup descriptions. If a DBClusterParameterGroupName parameter is specified, the list will contain only the description of the specified DB cluster parameter group.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'DescribeDBClusterParameters' => 'Returns the detailed parameter list for a particular DB cluster parameter group.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'DescribeDBClusterSnapshotAttributes' => 'Returns a list of DB cluster snapshot attribute names and values for a manual DB cluster snapshot.
When sharing snapshots with other Amazon Web Services accounts, DescribeDBClusterSnapshotAttributes returns the restore attribute and a list of IDs for the Amazon Web Services accounts that are authorized to copy or restore the manual DB cluster snapshot. If all is included in the list of values for the restore attribute, then the manual DB cluster snapshot is public and can be copied or restored by all Amazon Web Services accounts.
To add or remove access for an Amazon Web Services account to copy or restore a manual DB cluster snapshot, or to make the manual DB cluster snapshot public or private, use the ModifyDBClusterSnapshotAttribute API action.
Returns information about DB cluster snapshots. This API action supports pagination.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'DescribeDBClusters' => 'Describes existing Amazon Aurora DB clusters and Multi-AZ DB clusters. This API supports pagination.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
This operation can also return information for Amazon Neptune DB instances and Amazon DocumentDB instances.
', 'DescribeDBEngineVersions' => 'Describes the properties of specific versions of DB engines.
', 'DescribeDBInstanceAutomatedBackups' => 'Displays backups for both current and deleted instances. For example, use this operation to find details about automated backups for previously deleted instances. Current instances with retention periods greater than zero (0) are returned for both the DescribeDBInstanceAutomatedBackups and DescribeDBInstances operations.
All parameters are optional.
', 'DescribeDBInstances' => 'Describes provisioned RDS instances. This API supports pagination.
This operation can also return information for Amazon Neptune DB instances and Amazon DocumentDB instances.
Returns a list of DB log files for the DB instance.
This command doesn\'t apply to RDS Custom.
', 'DescribeDBParameterGroups' => 'Returns a list of DBParameterGroup descriptions. If a DBParameterGroupName is specified, the list will contain only the description of the specified DB parameter group.
Returns the detailed parameter list for a particular DB parameter group.
', 'DescribeDBProxies' => 'Returns information about DB proxies.
', 'DescribeDBProxyEndpoints' => 'Returns information about DB proxy endpoints.
', 'DescribeDBProxyTargetGroups' => 'Returns information about DB proxy target groups, represented by DBProxyTargetGroup data structures.
Returns information about DBProxyTarget objects. This API supports pagination.
Describes the recommendations to resolve the issues for your DB instances, DB clusters, and DB parameter groups.
', 'DescribeDBSecurityGroups' => 'Returns a list of DBSecurityGroup descriptions. If a DBSecurityGroupName is specified, the list will contain only the descriptions of the specified DB security group.
EC2-Classic was retired on August 15, 2022. If you haven\'t migrated from EC2-Classic to a VPC, we recommend that you migrate as soon as possible. For more information, see Migrate from EC2-Classic to a VPC in the Amazon EC2 User Guide, the blog EC2-Classic Networking is Retiring – Here’s How to Prepare, and Moving a DB instance not in a VPC into a VPC in the Amazon RDS User Guide.
Describes existing Aurora Limitless Database DB shard groups.
', 'DescribeDBSnapshotAttributes' => 'Returns a list of DB snapshot attribute names and values for a manual DB snapshot.
When sharing snapshots with other Amazon Web Services accounts, DescribeDBSnapshotAttributes returns the restore attribute and a list of IDs for the Amazon Web Services accounts that are authorized to copy or restore the manual DB snapshot. If all is included in the list of values for the restore attribute, then the manual DB snapshot is public and can be copied or restored by all Amazon Web Services accounts.
To add or remove access for an Amazon Web Services account to copy or restore a manual DB snapshot, or to make the manual DB snapshot public or private, use the ModifyDBSnapshotAttribute API action.
Describes the tenant databases that exist in a DB snapshot. This command only applies to RDS for Oracle DB instances in the multi-tenant configuration.
You can use this command to inspect the tenant databases within a snapshot before restoring it. You can\'t directly interact with the tenant databases in a DB snapshot. If you restore a snapshot that was taken from DB instance using the multi-tenant configuration, you restore all its tenant databases.
', 'DescribeDBSnapshots' => 'Returns information about DB snapshots. This API action supports pagination.
', 'DescribeDBSubnetGroups' => 'Returns a list of DBSubnetGroup descriptions. If a DBSubnetGroupName is specified, the list will contain only the descriptions of the specified DBSubnetGroup.
For an overview of CIDR ranges, go to the Wikipedia Tutorial.
', 'DescribeEngineDefaultClusterParameters' => 'Returns the default engine and system parameter information for the cluster database engine.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
', 'DescribeEngineDefaultParameters' => 'Returns the default engine and system parameter information for the specified database engine.
', 'DescribeEventCategories' => 'Displays a list of categories for all event source types, or, if specified, for a specified source type. You can also see this list in the "Amazon RDS event categories and event messages" section of the Amazon RDS User Guide or the Amazon Aurora User Guide .
', 'DescribeEventSubscriptions' => 'Lists all the subscription descriptions for a customer account. The description for a subscription includes SubscriptionName, SNSTopicARN, CustomerID, SourceType, SourceID, CreationTime, and Status.
If you specify a SubscriptionName, lists the description for that subscription.
Returns events related to DB instances, DB clusters, DB parameter groups, DB security groups, DB snapshots, DB cluster snapshots, and RDS Proxies for the past 14 days. Events specific to a particular DB instance, DB cluster, DB parameter group, DB security group, DB snapshot, DB cluster snapshot group, or RDS Proxy can be obtained by providing the name as a parameter.
For more information on working with events, see Monitoring Amazon RDS events in the Amazon RDS User Guide and Monitoring Amazon Aurora events in the Amazon Aurora User Guide.
By default, RDS returns events that were generated in the past hour.
Returns information about a snapshot or cluster export to Amazon S3. This API operation supports pagination.
', 'DescribeGlobalClusters' => 'Returns information about Aurora global database clusters. This API supports pagination.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
This action only applies to Aurora DB clusters.
Describe one or more zero-ETL integrations with Amazon Redshift.
', 'DescribeOptionGroupOptions' => 'Describes all available options for the specified engine.
', 'DescribeOptionGroups' => 'Describes the available option groups.
', 'DescribeOrderableDBInstanceOptions' => 'Describes the orderable DB instance options for a specified DB engine.
', 'DescribePendingMaintenanceActions' => 'Returns a list of resources (for example, DB instances) that have at least one pending maintenance action.
This API follows an eventual consistency model. This means that the result of the DescribePendingMaintenanceActions command might not be immediately visible to all subsequent RDS commands. Keep this in mind when you use DescribePendingMaintenanceActions immediately after using a previous API command such as ApplyPendingMaintenanceActions.
Returns information about reserved DB instances for this account, or about a specified reserved DB instance.
', 'DescribeReservedDBInstancesOfferings' => 'Lists available reserved DB instance offerings.
', 'DescribeSourceRegions' => 'Returns a list of the source Amazon Web Services Regions where the current Amazon Web Services Region can create a read replica, copy a DB snapshot from, or replicate automated backups from.
Use this operation to determine whether cross-Region features are supported between other Regions and your current Region. This operation supports pagination.
To return information about the Regions that are enabled for your account, or all Regions, use the EC2 operation DescribeRegions. For more information, see DescribeRegions in the Amazon EC2 API Reference.
Describes the tenant databases in a DB instance that uses the multi-tenant configuration. Only RDS for Oracle CDB instances are supported.
', 'DescribeValidDBInstanceModifications' => 'You can call DescribeValidDBInstanceModifications to learn what modifications you can make to your DB instance. You can use this information when you call ModifyDBInstance.
This command doesn\'t apply to RDS Custom.
', 'DisableHttpEndpoint' => 'Disables the HTTP endpoint for the specified DB cluster. Disabling this endpoint disables RDS Data API.
For more information, see Using RDS Data API in the Amazon Aurora User Guide.
This operation applies only to Aurora Serverless v2 and provisioned DB clusters. To disable the HTTP endpoint for Aurora Serverless v1 DB clusters, use the EnableHttpEndpoint parameter of the ModifyDBCluster operation.
Downloads all or a portion of the specified log file, up to 1 MB in size.
This command doesn\'t apply to RDS Custom.
', 'EnableHttpEndpoint' => 'Enables the HTTP endpoint for the DB cluster. By default, the HTTP endpoint isn\'t enabled.
When enabled, this endpoint provides a connectionless web service API (RDS Data API) for running SQL queries on the Aurora DB cluster. You can also query your database from inside the RDS console with the RDS query editor.
For more information, see Using RDS Data API in the Amazon Aurora User Guide.
This operation applies only to Aurora Serverless v2 and provisioned DB clusters. To enable the HTTP endpoint for Aurora Serverless v1 DB clusters, use the EnableHttpEndpoint parameter of the ModifyDBCluster operation.
Forces a failover for a DB cluster.
For an Aurora DB cluster, failover for a DB cluster promotes one of the Aurora Replicas (read-only instances) in the DB cluster to be the primary DB instance (the cluster writer).
For a Multi-AZ DB cluster, after RDS terminates the primary DB instance, the internal monitoring system detects that the primary DB instance is unhealthy and promotes a readable standby (read-only instances) in the DB cluster to be the primary DB instance (the cluster writer). Failover times are typically less than 35 seconds.
An Amazon Aurora DB cluster automatically fails over to an Aurora Replica, if one exists, when the primary DB instance fails. A Multi-AZ DB cluster automatically fails over to a readable standby DB instance when the primary DB instance fails.
To simulate a failure of a primary instance for testing, you can force a failover. Because each instance in a DB cluster has its own endpoint address, make sure to clean up and re-establish any existing connections that use those endpoint addresses when the failover is complete.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'FailoverGlobalCluster' => 'Promotes the specified secondary DB cluster to be the primary DB cluster in the global database cluster to fail over or switch over a global database. Switchover operations were previously called "managed planned failovers."
Although this operation can be used either to fail over or to switch over a global database cluster, its intended use is for global database failover. To switch over a global database cluster, we recommend that you use the SwitchoverGlobalCluster operation instead.
How you use this operation depends on whether you are failing over or switching over your global database cluster:
Failing over - Specify the AllowDataLoss parameter and don\'t specify the Switchover parameter.
Switching over - Specify the Switchover parameter or omit it, but don\'t specify the AllowDataLoss parameter.
About failing over and switching over
While failing over and switching over a global database cluster both change the primary DB cluster, you use these operations for different reasons:
Failing over - Use this operation to respond to an unplanned event, such as a Regional disaster in the primary Region. Failing over can result in a loss of write transaction data that wasn\'t replicated to the chosen secondary before the failover event occurred. However, the recovery process that promotes a DB instance on the chosen seconday DB cluster to be the primary writer DB instance guarantees that the data is in a transactionally consistent state.
For more information about failing over an Amazon Aurora global database, see Performing managed failovers for Aurora global databases in the Amazon Aurora User Guide.
Switching over - Use this operation on a healthy global database cluster for planned events, such as Regional rotation or to fail back to the original primary DB cluster after a failover operation. With this operation, there is no data loss.
For more information about switching over an Amazon Aurora global database, see Performing switchovers for Aurora global databases in the Amazon Aurora User Guide.
Lists all tags on an Amazon RDS resource.
For an overview on tagging an Amazon RDS resource, see Tagging Amazon RDS Resources in the Amazon RDS User Guide or Tagging Amazon Aurora and Amazon RDS Resources in the Amazon Aurora User Guide.
', 'ModifyActivityStream' => 'Changes the audit policy state of a database activity stream to either locked (default) or unlocked. A locked policy is read-only, whereas an unlocked policy is read/write. If your activity stream is started and locked, you can unlock it, customize your audit policy, and then lock your activity stream. Restarting the activity stream isn\'t required. For more information, see Modifying a database activity stream in the Amazon RDS User Guide.
This operation is supported for RDS for Oracle and Microsoft SQL Server.
', 'ModifyCertificates' => 'Override the system-default Secure Sockets Layer/Transport Layer Security (SSL/TLS) certificate for Amazon RDS for new DB instances, or remove the override.
By using this operation, you can specify an RDS-approved SSL/TLS certificate for new DB instances that is different from the default certificate provided by RDS. You can also use this operation to remove the override, so that new DB instances use the default certificate provided by RDS.
You might need to override the default certificate in the following situations:
You already migrated your applications to support the latest certificate authority (CA) certificate, but the new CA certificate is not yet the RDS default CA certificate for the specified Amazon Web Services Region.
RDS has already moved to a new default CA certificate for the specified Amazon Web Services Region, but you are still in the process of supporting the new CA certificate. In this case, you temporarily need additional time to finish your application changes.
For more information about rotating your SSL/TLS certificate for RDS DB engines, see Rotating Your SSL/TLS Certificate in the Amazon RDS User Guide.
For more information about rotating your SSL/TLS certificate for Aurora DB engines, see Rotating Your SSL/TLS Certificate in the Amazon Aurora User Guide.
', 'ModifyCurrentDBClusterCapacity' => 'Set the capacity of an Aurora Serverless v1 DB cluster to a specific value.
Aurora Serverless v1 scales seamlessly based on the workload on the DB cluster. In some cases, the capacity might not scale fast enough to meet a sudden change in workload, such as a large number of new transactions. Call ModifyCurrentDBClusterCapacity to set the capacity explicitly.
After this call sets the DB cluster capacity, Aurora Serverless v1 can automatically scale the DB cluster based on the cooldown period for scaling up and the cooldown period for scaling down.
For more information about Aurora Serverless v1, see Using Amazon Aurora Serverless v1 in the Amazon Aurora User Guide.
If you call ModifyCurrentDBClusterCapacity with the default TimeoutAction, connections that prevent Aurora Serverless v1 from finding a scaling point might be dropped. For more information about scaling points, see Autoscaling for Aurora Serverless v1 in the Amazon Aurora User Guide.
This operation only applies to Aurora Serverless v1 DB clusters.
Modifies the status of a custom engine version (CEV). You can find CEVs to modify by calling DescribeDBEngineVersions.
The MediaImport service that imports files from Amazon S3 to create CEVs isn\'t integrated with Amazon Web Services CloudTrail. If you turn on data logging for Amazon RDS in CloudTrail, calls to the ModifyCustomDbEngineVersion event aren\'t logged. However, you might see calls from the API gateway that accesses your Amazon S3 bucket. These calls originate from the MediaImport service for the ModifyCustomDbEngineVersion event.
For more information, see Modifying CEV status in the Amazon RDS User Guide.
', 'ModifyDBCluster' => 'Modifies the settings of an Amazon Aurora DB cluster or a Multi-AZ DB cluster. You can change one or more settings by specifying these parameters and the new values in the request.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'ModifyDBClusterEndpoint' => 'Modifies the properties of an endpoint in an Amazon Aurora DB cluster.
This operation only applies to Aurora DB clusters.
Modifies the parameters of a DB cluster parameter group. To modify more than one parameter, submit a list of the following: ParameterName, ParameterValue, and ApplyMethod. A maximum of 20 parameters can be modified in a single request.
After you create a DB cluster parameter group, you should wait at least 5 minutes before creating your first DB cluster that uses that DB cluster parameter group as the default parameter group. This allows Amazon RDS to fully complete the create operation before the parameter group is used as the default for a new DB cluster. This is especially important for parameters that are critical when creating the default database for a DB cluster, such as the character set for the default database defined by the character_set_database parameter. You can use the Parameter Groups option of the Amazon RDS console or the DescribeDBClusterParameters operation to verify that your DB cluster parameter group has been created or modified.
If the modified DB cluster parameter group is used by an Aurora Serverless v1 cluster, Aurora applies the update immediately. The cluster restart might interrupt your workload. In that case, your application must reopen any connections and retry any transactions that were active when the parameter changes took effect.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'ModifyDBClusterSnapshotAttribute' => 'Adds an attribute and values to, or removes an attribute and values from, a manual DB cluster snapshot.
To share a manual DB cluster snapshot with other Amazon Web Services accounts, specify restore as the AttributeName and use the ValuesToAdd parameter to add a list of IDs of the Amazon Web Services accounts that are authorized to restore the manual DB cluster snapshot. Use the value all to make the manual DB cluster snapshot public, which means that it can be copied or restored by all Amazon Web Services accounts.
Don\'t add the all value for any manual DB cluster snapshots that contain private information that you don\'t want available to all Amazon Web Services accounts.
If a manual DB cluster snapshot is encrypted, it can be shared, but only by specifying a list of authorized Amazon Web Services account IDs for the ValuesToAdd parameter. You can\'t use all as a value for that parameter in this case.
To view which Amazon Web Services accounts have access to copy or restore a manual DB cluster snapshot, or whether a manual DB cluster snapshot is public or private, use the DescribeDBClusterSnapshotAttributes API operation. The accounts are returned as values for the restore attribute.
Modifies settings for a DB instance. You can change one or more database configuration parameters by specifying these parameters and the new values in the request. To learn what modifications you can make to your DB instance, call DescribeValidDBInstanceModifications before you call ModifyDBInstance.
Modifies the parameters of a DB parameter group. To modify more than one parameter, submit a list of the following: ParameterName, ParameterValue, and ApplyMethod. A maximum of 20 parameters can be modified in a single request.
After you modify a DB parameter group, you should wait at least 5 minutes before creating your first DB instance that uses that DB parameter group as the default parameter group. This allows Amazon RDS to fully complete the modify operation before the parameter group is used as the default for a new DB instance. This is especially important for parameters that are critical when creating the default database for a DB instance, such as the character set for the default database defined by the character_set_database parameter. You can use the Parameter Groups option of the Amazon RDS console or the DescribeDBParameters command to verify that your DB parameter group has been created or modified.
Changes the settings for an existing DB proxy.
', 'ModifyDBProxyEndpoint' => 'Changes the settings for an existing DB proxy endpoint.
', 'ModifyDBProxyTargetGroup' => 'Modifies the properties of a DBProxyTargetGroup.
Updates the recommendation status and recommended action status for the specified recommendation.
', 'ModifyDBShardGroup' => 'Modifies the settings of an Aurora Limitless Database DB shard group. You can change one or more settings by specifying these parameters and the new values in the request.
', 'ModifyDBSnapshot' => 'Updates a manual DB snapshot with a new engine version. The snapshot can be encrypted or unencrypted, but not shared or public.
Amazon RDS supports upgrading DB snapshots for MySQL, PostgreSQL, and Oracle. This operation doesn\'t apply to RDS Custom or RDS for Db2.
', 'ModifyDBSnapshotAttribute' => 'Adds an attribute and values to, or removes an attribute and values from, a manual DB snapshot.
To share a manual DB snapshot with other Amazon Web Services accounts, specify restore as the AttributeName and use the ValuesToAdd parameter to add a list of IDs of the Amazon Web Services accounts that are authorized to restore the manual DB snapshot. Uses the value all to make the manual DB snapshot public, which means it can be copied or restored by all Amazon Web Services accounts.
Don\'t add the all value for any manual DB snapshots that contain private information that you don\'t want available to all Amazon Web Services accounts.
If the manual DB snapshot is encrypted, it can be shared, but only by specifying a list of authorized Amazon Web Services account IDs for the ValuesToAdd parameter. You can\'t use all as a value for that parameter in this case.
To view which Amazon Web Services accounts have access to copy or restore a manual DB snapshot, or whether a manual DB snapshot public or private, use the DescribeDBSnapshotAttributes API operation. The accounts are returned as values for the restore attribute.
Modifies an existing DB subnet group. DB subnet groups must contain at least one subnet in at least two AZs in the Amazon Web Services Region.
', 'ModifyEventSubscription' => 'Modifies an existing RDS event notification subscription. You can\'t modify the source identifiers using this call. To change source identifiers for a subscription, use the AddSourceIdentifierToSubscription and RemoveSourceIdentifierFromSubscription calls.
You can see a list of the event categories for a given source type (SourceType) in Events in the Amazon RDS User Guide or by using the DescribeEventCategories operation.
Modifies a setting for an Amazon Aurora global database cluster. You can change one or more database configuration parameters by specifying these parameters and the new values in the request. For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
This operation only applies to Aurora global database clusters.
Modifies a zero-ETL integration with Amazon Redshift.
Currently, you can only modify integrations that have Aurora MySQL source DB clusters. Integrations with Aurora PostgreSQL and RDS sources currently don\'t support modifying the integration.
Modifies an existing option group.
', 'ModifyTenantDatabase' => 'Modifies an existing tenant database in a DB instance. You can change the tenant database name or the master user password. This operation is supported only for RDS for Oracle CDB instances using the multi-tenant configuration.
', 'PromoteReadReplica' => 'Promotes a read replica DB instance to a standalone DB instance.
Backup duration is a function of the amount of changes to the database since the previous backup. If you plan to promote a read replica to a standalone instance, we recommend that you enable backups and complete at least one backup prior to promotion. In addition, a read replica cannot be promoted to a standalone instance when it is in the backing-up status. If you have enabled backups on your read replica, configure the automated backup window so that daily backups do not interfere with read replica promotion.
This command doesn\'t apply to Aurora MySQL, Aurora PostgreSQL, or RDS Custom.
Promotes a read replica DB cluster to a standalone DB cluster.
', 'PurchaseReservedDBInstancesOffering' => 'Purchases a reserved DB instance offering.
', 'RebootDBCluster' => 'You might need to reboot your DB cluster, usually for maintenance reasons. For example, if you make certain modifications, or if you change the DB cluster parameter group associated with the DB cluster, reboot the DB cluster for the changes to take effect.
Rebooting a DB cluster restarts the database engine service. Rebooting a DB cluster results in a momentary outage, during which the DB cluster status is set to rebooting.
Use this operation only for a non-Aurora Multi-AZ DB cluster.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'RebootDBInstance' => 'You might need to reboot your DB instance, usually for maintenance reasons. For example, if you make certain modifications, or if you change the DB parameter group associated with the DB instance, you must reboot the instance for the changes to take effect.
Rebooting a DB instance restarts the database engine service. Rebooting a DB instance results in a momentary outage, during which the DB instance status is set to rebooting.
For more information about rebooting, see Rebooting a DB Instance in the Amazon RDS User Guide.
This command doesn\'t apply to RDS Custom.
If your DB instance is part of a Multi-AZ DB cluster, you can reboot the DB cluster with the RebootDBCluster operation.
You might need to reboot your DB shard group, usually for maintenance reasons. For example, if you make certain modifications, reboot the DB shard group for the changes to take effect.
This operation applies only to Aurora Limitless Database DBb shard groups.
', 'RegisterDBProxyTargets' => 'Associate one or more DBProxyTarget data structures with a DBProxyTargetGroup.
Detaches an Aurora secondary cluster from an Aurora global database cluster. The cluster becomes a standalone cluster with read-write capability instead of being read-only and receiving data from a primary cluster in a different Region.
This operation only applies to Aurora DB clusters.
Removes the asssociation of an Amazon Web Services Identity and Access Management (IAM) role from a DB cluster.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'RemoveRoleFromDBInstance' => 'Disassociates an Amazon Web Services Identity and Access Management (IAM) role from a DB instance.
', 'RemoveSourceIdentifierFromSubscription' => 'Removes a source identifier from an existing RDS event notification subscription.
', 'RemoveTagsFromResource' => 'Removes metadata tags from an Amazon RDS resource.
For an overview on tagging an Amazon RDS resource, see Tagging Amazon RDS Resources in the Amazon RDS User Guide or Tagging Amazon Aurora and Amazon RDS Resources in the Amazon Aurora User Guide.
', 'ResetDBClusterParameterGroup' => 'Modifies the parameters of a DB cluster parameter group to the default value. To reset specific parameters submit a list of the following: ParameterName and ApplyMethod. To reset the entire DB cluster parameter group, specify the DBClusterParameterGroupName and ResetAllParameters parameters.
When resetting the entire group, dynamic parameters are updated immediately and static parameters are set to pending-reboot to take effect on the next DB instance restart or RebootDBInstance request. You must call RebootDBInstance for every DB instance in your DB cluster that you want the updated static parameter to apply to.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'ResetDBParameterGroup' => 'Modifies the parameters of a DB parameter group to the engine/system default value. To reset specific parameters, provide a list of the following: ParameterName and ApplyMethod. To reset the entire DB parameter group, specify the DBParameterGroup name and ResetAllParameters parameters. When resetting the entire group, dynamic parameters are updated immediately and static parameters are set to pending-reboot to take effect on the next DB instance restart or RebootDBInstance request.
Creates an Amazon Aurora DB cluster from MySQL data stored in an Amazon S3 bucket. Amazon RDS must be authorized to access the Amazon S3 bucket and the data must be created using the Percona XtraBackup utility as described in Migrating Data from MySQL by Using an Amazon S3 Bucket in the Amazon Aurora User Guide.
This operation only restores the DB cluster, not the DB instances for that DB cluster. You must invoke the CreateDBInstance operation to create DB instances for the restored DB cluster, specifying the identifier of the restored DB cluster in DBClusterIdentifier. You can create DB instances only after the RestoreDBClusterFromS3 operation has completed and the DB cluster is available.
For more information on Amazon Aurora, see What is Amazon Aurora? in the Amazon Aurora User Guide.
This operation only applies to Aurora DB clusters. The source DB engine must be MySQL.
Creates a new DB cluster from a DB snapshot or DB cluster snapshot.
The target DB cluster is created from the source snapshot with a default configuration. If you don\'t specify a security group, the new DB cluster is associated with the default security group.
This operation only restores the DB cluster, not the DB instances for that DB cluster. You must invoke the CreateDBInstance operation to create DB instances for the restored DB cluster, specifying the identifier of the restored DB cluster in DBClusterIdentifier. You can create DB instances only after the RestoreDBClusterFromSnapshot operation has completed and the DB cluster is available.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'RestoreDBClusterToPointInTime' => 'Restores a DB cluster to an arbitrary point in time. Users can restore to any point in time before LatestRestorableTime for up to BackupRetentionPeriod days. The target DB cluster is created from the source DB cluster with the same configuration as the original DB cluster, except that the new DB cluster is created with the default DB security group.
For Aurora, this operation only restores the DB cluster, not the DB instances for that DB cluster. You must invoke the CreateDBInstance operation to create DB instances for the restored DB cluster, specifying the identifier of the restored DB cluster in DBClusterIdentifier. You can create DB instances only after the RestoreDBClusterToPointInTime operation has completed and the DB cluster is available.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromDBSnapshot' => 'Creates a new DB instance from a DB snapshot. The target database is created from the source database restore point with most of the source\'s original configuration, including the default security group and DB parameter group. By default, the new DB instance is created as a Single-AZ deployment, except when the instance is a SQL Server instance that has an option group associated with mirroring. In this case, the instance becomes a Multi-AZ deployment, not a Single-AZ deployment.
If you want to replace your original DB instance with the new, restored DB instance, then rename your original DB instance before you call the RestoreDBInstanceFromDBSnapshot operation. RDS doesn\'t allow two DB instances with the same name. After you have renamed your original DB instance with a different identifier, then you can pass the original name of the DB instance as the DBInstanceIdentifier in the call to the RestoreDBInstanceFromDBSnapshot operation. The result is that you replace the original DB instance with the DB instance created from the snapshot.
If you are restoring from a shared manual DB snapshot, the DBSnapshotIdentifier must be the ARN of the shared DB snapshot.
To restore from a DB snapshot with an unsupported engine version, you must first upgrade the engine version of the snapshot. For more information about upgrading a RDS for MySQL DB snapshot engine version, see Upgrading a MySQL DB snapshot engine version. For more information about upgrading a RDS for PostgreSQL DB snapshot engine version, Upgrading a PostgreSQL DB snapshot engine version.
This command doesn\'t apply to Aurora MySQL and Aurora PostgreSQL. For Aurora, use RestoreDBClusterFromSnapshot.
Amazon Relational Database Service (Amazon RDS) supports importing MySQL databases by using backup files. You can create a backup of your on-premises database, store it on Amazon Simple Storage Service (Amazon S3), and then restore the backup file onto a new Amazon RDS DB instance running MySQL. For more information, see Importing Data into an Amazon RDS MySQL DB Instance in the Amazon RDS User Guide.
This operation doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceToPointInTime' => 'Restores a DB instance to an arbitrary point in time. You can restore to any point in time before the time identified by the LatestRestorableTime property. You can restore to a point up to the number of days specified by the BackupRetentionPeriod property.
The target database is created with most of the original configuration, but in a system-selected Availability Zone, with the default security group, the default subnet group, and the default DB parameter group. By default, the new DB instance is created as a single-AZ deployment except when the instance is a SQL Server instance that has an option group that is associated with mirroring; in this case, the instance becomes a mirrored deployment and not a single-AZ deployment.
This operation doesn\'t apply to Aurora MySQL and Aurora PostgreSQL. For Aurora, use RestoreDBClusterToPointInTime.
Revokes ingress from a DBSecurityGroup for previously authorized IP ranges or EC2 or VPC security groups. Required parameters for this API are one of CIDRIP, EC2SecurityGroupId for VPC, or (EC2SecurityGroupOwnerId and either EC2SecurityGroupName or EC2SecurityGroupId).
EC2-Classic was retired on August 15, 2022. If you haven\'t migrated from EC2-Classic to a VPC, we recommend that you migrate as soon as possible. For more information, see Migrate from EC2-Classic to a VPC in the Amazon EC2 User Guide, the blog EC2-Classic Networking is Retiring – Here’s How to Prepare, and Moving a DB instance not in a VPC into a VPC in the Amazon RDS User Guide.
Starts a database activity stream to monitor activity on the database. For more information, see Monitoring Amazon Aurora with Database Activity Streams in the Amazon Aurora User Guide or Monitoring Amazon RDS with Database Activity Streams in the Amazon RDS User Guide.
', 'StartDBCluster' => 'Starts an Amazon Aurora DB cluster that was stopped using the Amazon Web Services console, the stop-db-cluster CLI command, or the StopDBCluster operation.
For more information, see Stopping and Starting an Aurora Cluster in the Amazon Aurora User Guide.
This operation only applies to Aurora DB clusters.
Starts an Amazon RDS DB instance that was stopped using the Amazon Web Services console, the stop-db-instance CLI command, or the StopDBInstance operation.
For more information, see Starting an Amazon RDS DB instance That Was Previously Stopped in the Amazon RDS User Guide.
This command doesn\'t apply to RDS Custom, Aurora MySQL, and Aurora PostgreSQL. For Aurora DB clusters, use StartDBCluster instead.
Enables replication of automated backups to a different Amazon Web Services Region.
This command doesn\'t apply to RDS Custom.
For more information, see Replicating Automated Backups to Another Amazon Web Services Region in the Amazon RDS User Guide.
', 'StartExportTask' => 'Starts an export of DB snapshot or DB cluster data to Amazon S3. The provided IAM role must have access to the S3 bucket.
You can\'t export snapshot data from Db2 or RDS Custom DB instances.
For more information on exporting DB snapshot data, see Exporting DB snapshot data to Amazon S3 in the Amazon RDS User Guide or Exporting DB cluster snapshot data to Amazon S3 in the Amazon Aurora User Guide.
For more information on exporting DB cluster data, see Exporting DB cluster data to Amazon S3 in the Amazon Aurora User Guide.
', 'StopActivityStream' => 'Stops a database activity stream that was started using the Amazon Web Services console, the start-activity-stream CLI command, or the StartActivityStream operation.
For more information, see Monitoring Amazon Aurora with Database Activity Streams in the Amazon Aurora User Guide or Monitoring Amazon RDS with Database Activity Streams in the Amazon RDS User Guide.
', 'StopDBCluster' => 'Stops an Amazon Aurora DB cluster. When you stop a DB cluster, Aurora retains the DB cluster\'s metadata, including its endpoints and DB parameter groups. Aurora also retains the transaction logs so you can do a point-in-time restore if necessary.
For more information, see Stopping and Starting an Aurora Cluster in the Amazon Aurora User Guide.
This operation only applies to Aurora DB clusters.
Stops an Amazon RDS DB instance. When you stop a DB instance, Amazon RDS retains the DB instance\'s metadata, including its endpoint, DB parameter group, and option group membership. Amazon RDS also retains the transaction logs so you can do a point-in-time restore if necessary.
For more information, see Stopping an Amazon RDS DB Instance Temporarily in the Amazon RDS User Guide.
This command doesn\'t apply to RDS Custom, Aurora MySQL, and Aurora PostgreSQL. For Aurora clusters, use StopDBCluster instead.
Stops automated backup replication for a DB instance.
This command doesn\'t apply to RDS Custom, Aurora MySQL, and Aurora PostgreSQL.
For more information, see Replicating Automated Backups to Another Amazon Web Services Region in the Amazon RDS User Guide.
', 'SwitchoverBlueGreenDeployment' => 'Switches over a blue/green deployment.
Before you switch over, production traffic is routed to the databases in the blue environment. After you switch over, production traffic is routed to the databases in the green environment.
For more information, see Using Amazon RDS Blue/Green Deployments for database updates in the Amazon RDS User Guide and Using Amazon RDS Blue/Green Deployments for database updates in the Amazon Aurora User Guide.
', 'SwitchoverGlobalCluster' => 'Switches over the specified secondary DB cluster to be the new primary DB cluster in the global database cluster. Switchover operations were previously called "managed planned failovers."
Aurora promotes the specified secondary cluster to assume full read/write capabilities and demotes the current primary cluster to a secondary (read-only) cluster, maintaining the orginal replication topology. All secondary clusters are synchronized with the primary at the beginning of the process so the new primary continues operations for the Aurora global database without losing any data. Your database is unavailable for a short time while the primary and selected secondary clusters are assuming their new roles. For more information about switching over an Aurora global database, see Performing switchovers for Amazon Aurora global databases in the Amazon Aurora User Guide.
This operation is intended for controlled environments, for operations such as "regional rotation" or to fall back to the original primary after a global database failover.
Switches over an Oracle standby database in an Oracle Data Guard environment, making it the new primary database. Issue this command in the Region that hosts the current standby database.
', ], 'shapes' => [ 'AccountAttributesMessage' => [ 'base' => 'Data returned by the DescribeAccountAttributes action.
', 'refs' => [], ], 'AccountQuota' => [ 'base' => 'Describes a quota for an Amazon Web Services account.
The following are account quotas:
AllocatedStorage - The total allocated storage per account, in GiB. The used value is the total allocated storage in the account, in GiB.
AuthorizationsPerDBSecurityGroup - The number of ingress rules per DB security group. The used value is the highest number of ingress rules in a DB security group in the account. Other DB security groups in the account might have a lower number of ingress rules.
CustomEndpointsPerDBCluster - The number of custom endpoints per DB cluster. The used value is the highest number of custom endpoints in a DB clusters in the account. Other DB clusters in the account might have a lower number of custom endpoints.
DBClusterParameterGroups - The number of DB cluster parameter groups per account, excluding default parameter groups. The used value is the count of nondefault DB cluster parameter groups in the account.
DBClusterRoles - The number of associated Amazon Web Services Identity and Access Management (IAM) roles per DB cluster. The used value is the highest number of associated IAM roles for a DB cluster in the account. Other DB clusters in the account might have a lower number of associated IAM roles.
DBClusters - The number of DB clusters per account. The used value is the count of DB clusters in the account.
DBInstanceRoles - The number of associated IAM roles per DB instance. The used value is the highest number of associated IAM roles for a DB instance in the account. Other DB instances in the account might have a lower number of associated IAM roles.
DBInstances - The number of DB instances per account. The used value is the count of the DB instances in the account.
Amazon RDS DB instances, Amazon Aurora DB instances, Amazon Neptune instances, and Amazon DocumentDB instances apply to this quota.
DBParameterGroups - The number of DB parameter groups per account, excluding default parameter groups. The used value is the count of nondefault DB parameter groups in the account.
DBSecurityGroups - The number of DB security groups (not VPC security groups) per account, excluding the default security group. The used value is the count of nondefault DB security groups in the account.
DBSubnetGroups - The number of DB subnet groups per account. The used value is the count of the DB subnet groups in the account.
EventSubscriptions - The number of event subscriptions per account. The used value is the count of the event subscriptions in the account.
ManualClusterSnapshots - The number of manual DB cluster snapshots per account. The used value is the count of the manual DB cluster snapshots in the account.
ManualSnapshots - The number of manual DB instance snapshots per account. The used value is the count of the manual DB instance snapshots in the account.
OptionGroups - The number of DB option groups per account, excluding default option groups. The used value is the count of nondefault DB option groups in the account.
ReadReplicasPerMaster - The number of read replicas per DB instance. The used value is the highest number of read replicas for a DB instance in the account. Other DB instances in the account might have a lower number of read replicas.
ReservedDBInstances - The number of reserved DB instances per account. The used value is the count of the active reserved DB instances in the account.
SubnetsPerDBSubnetGroup - The number of subnets per DB subnet group. The used value is highest number of subnets for a DB subnet group in the account. Other DB subnet groups in the account might have a lower number of subnets.
For more information, see Quotas for Amazon RDS in the Amazon RDS User Guide and Quotas for Amazon Aurora in the Amazon Aurora User Guide.
', 'refs' => [ 'AccountQuotaList$member' => NULL, ], ], 'AccountQuotaList' => [ 'base' => NULL, 'refs' => [ 'AccountAttributesMessage$AccountQuotas' => 'A list of AccountQuota objects. Within this list, each quota has a name, a count of usage toward the quota maximum, and a maximum value for the quota.
The mode of the database activity stream. Database events such as a change or access generate an activity stream event. The database session can handle these events either synchronously or asynchronously.
', 'DBInstance$ActivityStreamMode' => 'The mode of the database activity stream. Database events such as a change or access generate an activity stream event. RDS for Oracle always handles these events asynchronously.
', 'ModifyActivityStreamResponse$Mode' => 'The mode of the database activity stream.
', 'StartActivityStreamRequest$Mode' => 'Specifies the mode of the database activity stream. Database events such as a change or access generate an activity stream event. The database session can handle these events either synchronously or asynchronously.
', 'StartActivityStreamResponse$Mode' => 'The mode of the database activity stream.
', ], ], 'ActivityStreamModeList' => [ 'base' => NULL, 'refs' => [ 'OrderableDBInstanceOption$SupportedActivityStreamModes' => 'The list of supported modes for Database Activity Streams. Aurora PostgreSQL returns the value [sync, async]. Aurora MySQL and RDS for Oracle return [async] only. If Database Activity Streams isn\'t supported, the return value is an empty list.
The status of the policy state of the activity stream.
', 'ModifyActivityStreamResponse$PolicyStatus' => 'The status of the modification to the policy state of the database activity stream.
', ], ], 'ActivityStreamStatus' => [ 'base' => NULL, 'refs' => [ 'DBCluster$ActivityStreamStatus' => 'The status of the database activity stream.
', 'DBInstance$ActivityStreamStatus' => 'The status of the database activity stream.
', 'ModifyActivityStreamResponse$Status' => 'The status of the modification to the database activity stream.
', 'StartActivityStreamResponse$Status' => 'The status of the database activity stream.
', 'StopActivityStreamResponse$Status' => 'The status of the database activity stream.
', ], ], 'AddRoleToDBClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'AddRoleToDBInstanceMessage' => [ 'base' => NULL, 'refs' => [], ], 'AddSourceIdentifierToSubscriptionMessage' => [ 'base' => '', 'refs' => [], ], 'AddSourceIdentifierToSubscriptionResult' => [ 'base' => NULL, 'refs' => [], ], 'AddTagsToResourceMessage' => [ 'base' => '', 'refs' => [], ], 'ApplyMethod' => [ 'base' => NULL, 'refs' => [ 'Parameter$ApplyMethod' => 'Indicates when to apply parameter updates.
', ], ], 'ApplyPendingMaintenanceActionMessage' => [ 'base' => '', 'refs' => [], ], 'ApplyPendingMaintenanceActionResult' => [ 'base' => NULL, 'refs' => [], ], 'Arn' => [ 'base' => NULL, 'refs' => [ 'CreateIntegrationMessage$TargetArn' => 'The ARN of the Redshift data warehouse to use as the target for replication.
', 'Integration$TargetArn' => 'The ARN of the Redshift data warehouse used as the target for replication.
', ], ], 'AttributeValueList' => [ 'base' => NULL, 'refs' => [ 'DBClusterSnapshotAttribute$AttributeValues' => 'The value(s) for the manual DB cluster snapshot attribute.
If the AttributeName field is set to restore, then this element returns a list of IDs of the Amazon Web Services accounts that are authorized to copy or restore the manual DB cluster snapshot. If a value of all is in the list, then the manual DB cluster snapshot is public and available for any Amazon Web Services account to copy or restore.
The value or values for the manual DB snapshot attribute.
If the AttributeName field is set to restore, then this element returns a list of IDs of the Amazon Web Services accounts that are authorized to copy or restore the manual DB snapshot. If a value of all is in the list, then the manual DB snapshot is public and available for any Amazon Web Services account to copy or restore.
A list of DB cluster snapshot attributes to add to the attribute specified by AttributeName.
To authorize other Amazon Web Services accounts to copy or restore a manual DB cluster snapshot, set this list to include one or more Amazon Web Services account IDs, or all to make the manual DB cluster snapshot restorable by any Amazon Web Services account. Do not add the all value for any manual DB cluster snapshots that contain private information that you don\'t want available to all Amazon Web Services accounts.
A list of DB cluster snapshot attributes to remove from the attribute specified by AttributeName.
To remove authorization for other Amazon Web Services accounts to copy or restore a manual DB cluster snapshot, set this list to include one or more Amazon Web Services account identifiers, or all to remove authorization for any Amazon Web Services account to copy or restore the DB cluster snapshot. If you specify all, an Amazon Web Services account whose account ID is explicitly added to the restore attribute can still copy or restore a manual DB cluster snapshot.
A list of DB snapshot attributes to add to the attribute specified by AttributeName.
To authorize other Amazon Web Services accounts to copy or restore a manual snapshot, set this list to include one or more Amazon Web Services account IDs, or all to make the manual DB snapshot restorable by any Amazon Web Services account. Do not add the all value for any manual DB snapshots that contain private information that you don\'t want available to all Amazon Web Services accounts.
A list of DB snapshot attributes to remove from the attribute specified by AttributeName.
To remove authorization for other Amazon Web Services accounts to copy or restore a manual snapshot, set this list to include one or more Amazon Web Services account identifiers, or all to remove authorization for any Amazon Web Services account to copy or restore the DB snapshot. If you specify all, an Amazon Web Services account whose account ID is explicitly added to the restore attribute can still copy or restore the manual DB snapshot.
The audit policy state. When a policy is unlocked, it is read/write. When it is locked, it is read-only. You can edit your audit policy only when the activity stream is unlocked or stopped.
', ], ], 'AuthScheme' => [ 'base' => NULL, 'refs' => [ 'UserAuthConfig$AuthScheme' => 'The type of authentication that the proxy uses for connections from the proxy to the underlying database.
', 'UserAuthConfigInfo$AuthScheme' => 'The type of authentication that the proxy uses for connections from the proxy to the underlying database.
', ], ], 'AuthorizationAlreadyExistsFault' => [ 'base' => 'The specified CIDR IP range or Amazon EC2 security group is already authorized for the specified DB security group.
', 'refs' => [], ], 'AuthorizationNotFoundFault' => [ 'base' => 'The specified CIDR IP range or Amazon EC2 security group might not be authorized for the specified DB security group.
Or, RDS might not be authorized to perform necessary actions using IAM on your behalf.
', 'refs' => [], ], 'AuthorizationQuotaExceededFault' => [ 'base' => 'The DB security group authorization quota has been reached.
', 'refs' => [], ], 'AuthorizeDBSecurityGroupIngressMessage' => [ 'base' => '', 'refs' => [], ], 'AuthorizeDBSecurityGroupIngressResult' => [ 'base' => NULL, 'refs' => [], ], 'AutomationMode' => [ 'base' => NULL, 'refs' => [ 'DBInstance$AutomationMode' => 'The automation mode of the RDS Custom DB instance: full or all paused. If full, the DB instance automates monitoring and instance recovery. If all paused, the instance pauses automation for the duration set by --resume-full-automation-mode-minutes.
The automation mode of the RDS Custom DB instance. If full, the DB instance automates monitoring and instance recovery. If all paused, the instance pauses automation for the duration set by ResumeFullAutomationModeMinutes.
The automation mode of the RDS Custom DB instance: full or all-paused. If full, the DB instance automates monitoring and instance recovery. If all-paused, the instance pauses automation for the duration set by --resume-full-automation-mode-minutes.
Contains Availability Zone information.
This data type is used as an element in the OrderableDBInstanceOption data type.
A list of Availability Zones for a DB instance.
', ], ], 'AvailabilityZones' => [ 'base' => NULL, 'refs' => [ 'CreateDBClusterMessage$AvailabilityZones' => 'A list of Availability Zones (AZs) where you specifically want to create DB instances in the DB cluster.
For information on AZs, see Availability Zones in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters only
Constraints:
Can\'t specify more than three AZs.
The list of Availability Zones (AZs) where instances in the DB cluster can be created.
', 'DBClusterAutomatedBackup$AvailabilityZones' => 'The Availability Zones where instances in the DB cluster can be created. For information on Amazon Web Services Regions and Availability Zones, see Regions and Availability Zones.
', 'DBClusterSnapshot$AvailabilityZones' => 'The list of Availability Zones (AZs) where instances in the DB cluster snapshot can be restored.
', 'RestoreDBClusterFromS3Message$AvailabilityZones' => 'A list of Availability Zones (AZs) where instances in the restored DB cluster can be created.
', 'RestoreDBClusterFromSnapshotMessage$AvailabilityZones' => 'Provides the list of Availability Zones (AZs) where instances in the restored DB cluster can be created.
Valid for: Aurora DB clusters only
', ], ], 'AvailableProcessorFeature' => [ 'base' => 'Contains the available processor feature information for the DB instance class of a DB instance.
For more information, see Configuring the Processor of the DB Instance Class in the Amazon RDS User Guide.
', 'refs' => [ 'AvailableProcessorFeatureList$member' => NULL, ], ], 'AvailableProcessorFeatureList' => [ 'base' => NULL, 'refs' => [ 'OrderableDBInstanceOption$AvailableProcessorFeatures' => 'A list of the available processor features for the DB instance class of a DB instance.
', 'ValidDBInstanceModificationsMessage$ValidProcessorFeatures' => 'Valid processor features for your DB instance.
', ], ], 'AwsBackupRecoveryPointArn' => [ 'base' => NULL, 'refs' => [ 'ModifyDBClusterMessage$AwsBackupRecoveryPointArn' => 'The Amazon Resource Name (ARN) of the recovery point in Amazon Web Services Backup.
', 'ModifyDBInstanceMessage$AwsBackupRecoveryPointArn' => 'The Amazon Resource Name (ARN) of the recovery point in Amazon Web Services Backup.
This setting doesn\'t apply to RDS Custom DB instances.
', ], ], 'BacktrackDBClusterMessage' => [ 'base' => '', 'refs' => [], ], 'BackupPolicyNotFoundFault' => [ 'base' => NULL, 'refs' => [], ], 'BlueGreenDeployment' => [ 'base' => 'Details about a blue/green deployment.
For more information, see Using Amazon RDS Blue/Green Deployments for database updates in the Amazon RDS User Guide and Using Amazon RDS Blue/Green Deployments for database updates in the Amazon Aurora User Guide.
', 'refs' => [ 'BlueGreenDeploymentList$member' => NULL, 'CreateBlueGreenDeploymentResponse$BlueGreenDeployment' => NULL, 'DeleteBlueGreenDeploymentResponse$BlueGreenDeployment' => NULL, 'SwitchoverBlueGreenDeploymentResponse$BlueGreenDeployment' => NULL, ], ], 'BlueGreenDeploymentAlreadyExistsFault' => [ 'base' => 'A blue/green deployment with the specified name already exists.
', 'refs' => [], ], 'BlueGreenDeploymentIdentifier' => [ 'base' => NULL, 'refs' => [ 'BlueGreenDeployment$BlueGreenDeploymentIdentifier' => 'The unique identifier of the blue/green deployment.
', 'DeleteBlueGreenDeploymentRequest$BlueGreenDeploymentIdentifier' => 'The unique identifier of the blue/green deployment to delete. This parameter isn\'t case-sensitive.
Constraints:
Must match an existing blue/green deployment identifier.
The blue/green deployment identifier. If you specify this parameter, the response only includes information about the specific blue/green deployment. This parameter isn\'t case-sensitive.
Constraints:
Must match an existing blue/green deployment identifier.
The resource ID of the blue/green deployment.
Constraints:
Must match an existing blue/green deployment resource ID.
A list of blue/green deployments in the current account and Amazon Web Services Region.
', ], ], 'BlueGreenDeploymentName' => [ 'base' => NULL, 'refs' => [ 'BlueGreenDeployment$BlueGreenDeploymentName' => 'The user-supplied name of the blue/green deployment.
', 'CreateBlueGreenDeploymentRequest$BlueGreenDeploymentName' => 'The name of the blue/green deployment.
Constraints:
Can\'t be the same as an existing blue/green deployment name in the same account and Amazon Web Services Region.
BlueGreenDeploymentIdentifier doesn\'t refer to an existing blue/green deployment.
The status of the blue/green deployment.
Valid Values:
PROVISIONING - Resources are being created in the green environment.
AVAILABLE - Resources are available in the green environment.
SWITCHOVER_IN_PROGRESS - The deployment is being switched from the blue environment to the green environment.
SWITCHOVER_COMPLETED - Switchover from the blue environment to the green environment is complete.
INVALID_CONFIGURATION - Resources in the green environment are invalid, so switchover isn\'t possible.
SWITCHOVER_FAILED - Switchover was attempted but failed.
DELETING - The blue/green deployment is being deleted.
Additional information about the status of the blue/green deployment.
', ], ], 'BlueGreenDeploymentTask' => [ 'base' => 'Details about a task for a blue/green deployment.
For more information, see Using Amazon RDS Blue/Green Deployments for database updates in the Amazon RDS User Guide and Using Amazon RDS Blue/Green Deployments for database updates in the Amazon Aurora User Guide.
', 'refs' => [ 'BlueGreenDeploymentTaskList$member' => NULL, ], ], 'BlueGreenDeploymentTaskList' => [ 'base' => NULL, 'refs' => [ 'BlueGreenDeployment$Tasks' => 'Either tasks to be performed or tasks that have been completed on the target database before switchover.
', ], ], 'BlueGreenDeploymentTaskName' => [ 'base' => NULL, 'refs' => [ 'BlueGreenDeploymentTask$Name' => 'The name of the blue/green deployment task.
', ], ], 'BlueGreenDeploymentTaskStatus' => [ 'base' => NULL, 'refs' => [ 'BlueGreenDeploymentTask$Status' => 'The status of the blue/green deployment task.
Valid Values:
PENDING - The resource is being prepared for deployment.
IN_PROGRESS - The resource is being deployed.
COMPLETED - The resource has been deployed.
FAILED - Deployment of the resource failed.
Specifies whether Transport Layer Security (TLS) encryption is required for connections to the proxy. By enabling this setting, you can enforce encrypted TLS connections to the proxy.
', 'CreateDBProxyRequest$DebugLogging' => 'Specifies whether the proxy includes detailed information about SQL statements in its logs. This information helps you to debug issues involving SQL behavior or the performance and scalability of the proxy connections. The debug information includes the text of SQL statements that you submit through the proxy. Thus, only enable this setting when needed for debugging, and only when you have security measures in place to safeguard any sensitive information that appears in the logs.
', 'DBCluster$StorageEncrypted' => 'Indicates whether the DB cluster is encrypted.
', 'DBCluster$AutoMinorVersionUpgrade' => 'Indicates whether minor version patches are applied automatically.
This setting is for Aurora DB clusters and Multi-AZ DB clusters.
', 'DBClusterAutomatedBackup$IAMDatabaseAuthenticationEnabled' => 'Indicates whether mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts is enabled.
', 'DBClusterAutomatedBackup$StorageEncrypted' => 'Indicates whether the source DB cluster is encrypted.
', 'DBClusterMember$IsClusterWriter' => 'Indicates whether the cluster member is the primary DB instance for the DB cluster.
', 'DBClusterSnapshot$StorageEncrypted' => 'Indicates whether the DB cluster snapshot is encrypted.
', 'DBClusterSnapshot$IAMDatabaseAuthenticationEnabled' => 'Indicates whether mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts is enabled.
', 'DBClusterStatusInfo$Normal' => 'Reserved for future use.
', 'DBEngineVersion$SupportsLogExportsToCloudwatchLogs' => 'Indicates whether the engine version supports exporting the log types specified by ExportableLogTypes to CloudWatch Logs.
', 'DBEngineVersion$SupportsReadReplica' => 'Indicates whether the database engine version supports read replicas.
', 'DBEngineVersion$SupportsParallelQuery' => 'Indicates whether you can use Aurora parallel query with a specific DB engine version.
', 'DBEngineVersion$SupportsGlobalDatabases' => 'Indicates whether you can use Aurora global databases with a specific DB engine version.
', 'DBEngineVersion$SupportsBabelfish' => 'Indicates whether the engine version supports Babelfish for Aurora PostgreSQL.
', 'DBEngineVersion$SupportsLimitlessDatabase' => 'Indicates whether the DB engine version supports Aurora Limitless Database.
', 'DBEngineVersion$SupportsIntegrations' => 'Indicates whether the DB engine version supports zero-ETL integrations with Amazon Redshift.
', 'DBInstance$MultiAZ' => 'Indicates whether the DB instance is a Multi-AZ deployment. This setting doesn\'t apply to RDS Custom DB instances.
', 'DBInstance$AutoMinorVersionUpgrade' => 'Indicates whether minor version patches are applied automatically.
', 'DBInstance$PubliclyAccessible' => 'Indicates whether the DB instance is publicly accessible.
When the DB instance is publicly accessible and you connect from outside of the DB instance\'s virtual private cloud (VPC), its Domain Name System (DNS) endpoint resolves to the public IP address. When you connect from within the same VPC as the DB instance, the endpoint resolves to the private IP address. Access to the DB cluster is ultimately controlled by the security group it uses. That public access isn\'t permitted if the security group assigned to the DB cluster doesn\'t permit it.
When the DB instance isn\'t publicly accessible, it is an internal DB instance with a DNS name that resolves to a private IP address.
For more information, see CreateDBInstance.
', 'DBInstance$StorageEncrypted' => 'Indicates whether the DB instance is encrypted.
', 'DBInstance$CopyTagsToSnapshot' => 'Indicates whether tags are copied from the DB instance to snapshots of the DB instance.
This setting doesn\'t apply to Amazon Aurora DB instances. Copying tags to snapshots is managed by the DB cluster. Setting this value for an Aurora DB instance has no effect on the DB cluster setting. For more information, see DBCluster.
Indicates whether mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts is enabled for the DB instance.
For a list of engine versions that support IAM database authentication, see IAM database authentication in the Amazon RDS User Guide and IAM database authentication in Aurora in the Amazon Aurora User Guide.
', 'DBInstance$DeletionProtection' => 'Indicates whether the DB instance has deletion protection enabled. The database can\'t be deleted when deletion protection is enabled. For more information, see Deleting a DB Instance.
', 'DBInstance$DedicatedLogVolume' => 'Indicates whether the DB instance has a dedicated log volume (DLV) enabled.
', 'DBInstanceAutomatedBackup$Encrypted' => 'Indicates whether the automated backup is encrypted.
', 'DBInstanceAutomatedBackup$IAMDatabaseAuthenticationEnabled' => 'True if mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts is enabled, and otherwise false.
', 'DBInstanceStatusInfo$Normal' => 'Indicates whether the instance is operating normally (TRUE) or is in an error state (FALSE).
', 'DBProxy$RequireTLS' => 'Indicates whether Transport Layer Security (TLS) encryption is required for connections to the proxy.
', 'DBProxy$DebugLogging' => 'Indicates whether the proxy includes detailed information about SQL statements in its logs. This information helps you to debug issues involving SQL behavior or the performance and scalability of the proxy connections. The debug information includes the text of SQL statements that you submit through the proxy. Thus, only enable this setting when needed for debugging, and only when you have security measures in place to safeguard any sensitive information that appears in the logs.
', 'DBProxyEndpoint$IsDefault' => 'Indicates whether this endpoint is the default endpoint for the associated DB proxy. Default DB proxy endpoints always have read/write capability. Other endpoints that you associate with the DB proxy can be either read/write or read-only.
', 'DBProxyTargetGroup$IsDefault' => 'Indicates whether this target group is the first one used for connection requests by the associated proxy. Because each proxy is currently associated with a single target group, currently this setting is always true.
Indicates whether the DB snapshot is encrypted.
', 'DBSnapshot$IAMDatabaseAuthenticationEnabled' => 'Indicates whether mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts is enabled.
', 'DBSnapshot$DedicatedLogVolume' => 'Indicates whether the DB instance has a dedicated log volume (DLV) enabled.
', 'DeleteDBClusterMessage$SkipFinalSnapshot' => 'Specifies whether to skip the creation of a final DB cluster snapshot before RDS deletes the DB cluster. If you set this value to true, RDS doesn\'t create a final DB cluster snapshot. If you set this value to false or don\'t specify it, RDS creates a DB cluster snapshot before it deletes the DB cluster. By default, this parameter is disabled, so RDS creates a final DB cluster snapshot.
If SkipFinalSnapshot is disabled, you must specify a value for the FinalDBSnapshotIdentifier parameter.
Specifies whether to skip the creation of a final DB snapshot before deleting the instance. If you enable this parameter, RDS doesn\'t create a DB snapshot. If you don\'t enable this parameter, RDS creates a DB snapshot before the DB instance is deleted. By default, skip isn\'t enabled, and the DB snapshot is created.
If you don\'t enable this parameter, you must specify the FinalDBSnapshotIdentifier parameter.
When a DB instance is in a failure state and has a status of failed, incompatible-restore, or incompatible-network, RDS can delete the instance only if you enable this parameter.
If you delete a read replica or an RDS Custom instance, you must enable this setting.
This setting is required for RDS Custom.
', 'DeleteTenantDatabaseMessage$SkipFinalSnapshot' => 'Specifies whether to skip the creation of a final DB snapshot before removing the tenant database from your DB instance. If you enable this parameter, RDS doesn\'t create a DB snapshot. If you don\'t enable this parameter, RDS creates a DB snapshot before it deletes the tenant database. By default, RDS doesn\'t skip the final snapshot. If you don\'t enable this parameter, you must specify the FinalDBSnapshotIdentifier parameter.
Specifies whether to include shared manual DB cluster snapshots from other Amazon Web Services accounts that this Amazon Web Services account has been given permission to copy or restore. By default, these snapshots are not included.
You can give an Amazon Web Services account permission to restore a manual DB cluster snapshot from another Amazon Web Services account by the ModifyDBClusterSnapshotAttribute API action.
Specifies whether to include manual DB cluster snapshots that are public and can be copied or restored by any Amazon Web Services account. By default, the public snapshots are not included.
You can share a manual DB cluster snapshot as public by using the ModifyDBClusterSnapshotAttribute API action.
', 'DescribeDBClustersMessage$IncludeShared' => 'Specifies whether the output includes information about clusters shared from other Amazon Web Services accounts.
', 'DescribeDBEngineVersionsMessage$DefaultOnly' => 'Specifies whether to return only the default version of the specified engine or the engine and major version combination.
', 'DescribeDBSnapshotsMessage$IncludeShared' => 'Specifies whether to include shared manual DB cluster snapshots from other Amazon Web Services accounts that this Amazon Web Services account has been given permission to copy or restore. By default, these snapshots are not included.
You can give an Amazon Web Services account permission to restore a manual DB snapshot from another Amazon Web Services account by using the ModifyDBSnapshotAttribute API action.
This setting doesn\'t apply to RDS Custom.
', 'DescribeDBSnapshotsMessage$IncludePublic' => 'Specifies whether to include manual DB cluster snapshots that are public and can be copied or restored by any Amazon Web Services account. By default, the public snapshots are not included.
You can share a manual DB snapshot as public by using the ModifyDBSnapshotAttribute API.
This setting doesn\'t apply to RDS Custom.
', 'DisableHttpEndpointResponse$HttpEndpointEnabled' => 'Indicates whether the HTTP endpoint is enabled or disabled for the DB cluster.
', 'DownloadDBLogFilePortionDetails$AdditionalDataPending' => 'A Boolean value that, if true, indicates there is more data to be downloaded.
', 'EnableHttpEndpointResponse$HttpEndpointEnabled' => 'Indicates whether the HTTP endpoint is enabled or disabled for the DB cluster.
', 'EventSubscription$Enabled' => 'Specifies whether the subscription is enabled. True indicates the subscription is enabled.
', 'FailoverState$IsDataLossAllowed' => 'Indicates whether the operation is a global switchover or a global failover. If data loss is allowed, then the operation is a global failover. Otherwise, it\'s a switchover.
', 'GlobalClusterMember$IsWriter' => 'Indicates whether the Aurora DB cluster is the primary cluster (that is, has read-write capability) for the global cluster with which it is associated.
', 'ModifyDBClusterMessage$ApplyImmediately' => 'Specifies whether the modifications in this request are asynchronously applied as soon as possible, regardless of the PreferredMaintenanceWindow setting for the DB cluster. If this parameter is disabled, changes to the DB cluster are applied during the next maintenance window.
Most modifications can be applied immediately or during the next scheduled maintenance window. Some modifications, such as turning on deletion protection and changing the master password, are applied immediately—regardless of when you choose to apply them.
By default, this parameter is disabled.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$AllowMajorVersionUpgrade' => 'Specifies whether major version upgrades are allowed.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
You must allow major version upgrades when specifying a value for the EngineVersion parameter that is a different major version than the DB cluster\'s current version.
Specifies whether engine mode changes from serverless to provisioned are allowed.
Valid for Cluster Type: Aurora Serverless v1 DB clusters only
Constraints:
You must allow engine mode changes when specifying a different value for the EngineMode parameter from the DB cluster\'s current engine mode.
Specifies whether the modifications in this request and any pending modifications are asynchronously applied as soon as possible, regardless of the PreferredMaintenanceWindow setting for the DB instance. By default, this parameter is disabled.
If this parameter is disabled, changes to the DB instance are applied during the next maintenance window. Some parameter changes can cause an outage and are applied on the next call to RebootDBInstance, or the next failure reboot. Review the table of parameters in Modifying a DB Instance in the Amazon RDS User Guide to see the impact of enabling or disabling ApplyImmediately for each modified parameter and to determine when the changes are applied.
Specifies whether major version upgrades are allowed. Changing this parameter doesn\'t result in an outage and the change is asynchronously applied as soon as possible.
This setting doesn\'t apply to RDS Custom DB instances.
Constraints:
Major version upgrades must be allowed when specifying a value for the EngineVersion parameter that\'s a different major version than the DB instance\'s current version.
Specifies whether to apply the change immediately or during the next maintenance window for each instance associated with the option group.
', 'Option$Persistent' => 'Indicates whether this option is persistent.
', 'Option$Permanent' => 'Indicates whether this option is permanent.
', 'OptionGroup$AllowsVpcAndNonVpcInstanceMemberships' => 'Indicates whether this option group can be applied to both VPC and non-VPC instances. The value true indicates the option group can be applied to both VPC and non-VPC instances.
Indicates whether the option requires a port.
', 'OptionGroupOption$Persistent' => 'Persistent options can\'t be removed from an option group while DB instances are associated with the option group. If you disassociate all DB instances from the option group, your can remove the persistent option from the option group.
', 'OptionGroupOption$Permanent' => 'Permanent options can never be removed from an option group. An option group containing a permanent option can\'t be removed from a DB instance.
', 'OptionGroupOption$RequiresAutoMinorEngineVersionUpgrade' => 'If true, you must enable the Auto Minor Version Upgrade setting for your DB instance before you can use this option. You can enable Auto Minor Version Upgrade when you first create your DB instance, or by modifying your DB instance later.
', 'OptionGroupOption$VpcOnly' => 'If true, you can only use this option with a DB instance that is in a VPC.
', 'OptionGroupOptionSetting$IsModifiable' => 'Indicates whether this option group option can be changed from the default value.
', 'OptionGroupOptionSetting$IsRequired' => 'Indicates whether a value must be specified for this option setting of the option group option.
', 'OptionSetting$IsModifiable' => 'Indicates whether the option setting can be modified from the default.
', 'OptionSetting$IsCollection' => 'Indicates whether the option setting is part of a collection.
', 'OptionVersion$IsDefault' => 'Indicates whether the version is the default version of the option.
', 'OrderableDBInstanceOption$MultiAZCapable' => 'Indicates whether a DB instance is Multi-AZ capable.
', 'OrderableDBInstanceOption$ReadReplicaCapable' => 'Indicates whether a DB instance can have a read replica.
', 'OrderableDBInstanceOption$Vpc' => 'Indicates whether a DB instance is in a VPC.
', 'OrderableDBInstanceOption$SupportsStorageEncryption' => 'Indicates whether a DB instance supports encrypted storage.
', 'OrderableDBInstanceOption$SupportsIops' => 'Indicates whether a DB instance supports provisioned IOPS.
', 'OrderableDBInstanceOption$SupportsEnhancedMonitoring' => 'Indicates whether a DB instance supports Enhanced Monitoring at intervals from 1 to 60 seconds.
', 'OrderableDBInstanceOption$SupportsIAMDatabaseAuthentication' => 'Indicates whether a DB instance supports IAM database authentication.
', 'OrderableDBInstanceOption$SupportsPerformanceInsights' => 'Indicates whether a DB instance supports Performance Insights.
', 'OrderableDBInstanceOption$OutpostCapable' => 'Indicates whether a DB instance supports RDS on Outposts.
For more information about RDS on Outposts, see Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
', 'OrderableDBInstanceOption$SupportsGlobalDatabases' => 'Indicates whether you can use Aurora global databases with a specific combination of other DB engine attributes.
', 'OrderableDBInstanceOption$SupportsClusters' => 'Indicates whether DB instances can be configured as a Multi-AZ DB cluster.
For more information on Multi-AZ DB clusters, see Multi-AZ deployments with two readable standby DB instances in the Amazon RDS User Guide.
', 'OrderableDBInstanceOption$SupportsStorageThroughput' => 'Indicates whether a DB instance supports storage throughput.
', 'OrderableDBInstanceOption$SupportsDedicatedLogVolume' => 'Indicates whether a DB instance supports using a dedicated log volume (DLV).
', 'Parameter$IsModifiable' => 'Indicates whether (true) or not (false) the parameter can be modified. Some parameters have security or operational implications that prevent them from being changed.
Indicates whether the reservation applies to Multi-AZ deployments.
', 'ReservedDBInstancesOffering$MultiAZ' => 'Indicates whether the offering applies to Multi-AZ deployments.
', 'ResetDBClusterParameterGroupMessage$ResetAllParameters' => 'Specifies whether to reset all parameters in the DB cluster parameter group to their default values. You can\'t use this parameter if there is a list of parameter names specified for the Parameters parameter.
Specifies whether to reset all parameters in the DB parameter group to default values. By default, all parameters in the DB parameter group are reset to default values.
', 'RestoreDBClusterToPointInTimeMessage$UseLatestRestorableTime' => 'Specifies whether to restore the DB cluster to the latest restorable backup time. By default, the DB cluster isn\'t restored to the latest restorable backup time.
Constraints: Can\'t be specified if RestoreToTime parameter is provided.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBInstanceToPointInTimeMessage$UseLatestRestorableTime' => 'Specifies whether the DB instance is restored from the latest backup time. By default, the DB instance isn\'t restored from the latest backup time.
Constraints:
Can\'t be specified if the RestoreTime parameter is provided.
Indicates whether the source Amazon Web Services Region supports replicating automated backups to the current Amazon Web Services Region.
', 'StartActivityStreamResponse$ApplyImmediately' => 'Indicates whether or not the database activity stream will start as soon as possible, regardless of the maintenance window for the database.
', 'TenantDatabase$DeletionProtection' => 'Specifies whether deletion protection is enabled for the DB instance.
', 'UpgradeTarget$AutoUpgrade' => 'Indicates whether the target version is applied to any source DB instances that have AutoMinorVersionUpgrade set to true.
This parameter is dynamic, and is set by RDS.
', 'UpgradeTarget$IsMajorVersionUpgrade' => 'Indicates whether upgrading to the target version requires upgrading the major version of the database engine.
', 'ValidDBInstanceModificationsMessage$SupportsDedicatedLogVolume' => 'Indicates whether a DB instance supports using a dedicated log volume (DLV).
', 'ValidStorageOptions$SupportsStorageAutoscaling' => 'Indicates whether or not Amazon RDS can automatically scale storage for DB instances that use the new instance class.
', ], ], 'BooleanOptional' => [ 'base' => NULL, 'refs' => [ 'BacktrackDBClusterMessage$Force' => 'Specifies whether to force the DB cluster to backtrack when binary logging is enabled. Otherwise, an error occurs when binary logging is enabled.
', 'BacktrackDBClusterMessage$UseEarliestTimeOnPointInTimeUnavailable' => 'Specifies whether to backtrack the DB cluster to the earliest possible backtrack time when BacktrackTo is set to a timestamp earlier than the earliest backtrack time. When this parameter is disabled and BacktrackTo is set to a timestamp earlier than the earliest backtrack time, an error occurs.
', 'Certificate$CustomerOverride' => 'Indicates whether there is an override for the default certificate identifier.
', 'ClusterPendingModifiedValues$IAMDatabaseAuthenticationEnabled' => 'Indicates whether mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts is enabled.
', 'CopyDBClusterSnapshotMessage$CopyTags' => 'Specifies whether to copy all tags from the source DB cluster snapshot to the target DB cluster snapshot. By default, tags are not copied.
', 'CopyDBSnapshotMessage$CopyTags' => 'Specifies whether to copy all tags from the source DB snapshot to the target DB snapshot. By default, tags aren\'t copied.
', 'CopyDBSnapshotMessage$CopyOptionGroup' => 'Specifies whether to copy the DB option group associated with the source DB snapshot to the target Amazon Web Services account and associate with the target DB snapshot. The associated option group can be copied only with cross-account snapshot copy calls.
', 'CreateBlueGreenDeploymentRequest$UpgradeTargetStorageConfig' => 'Whether to upgrade the storage file system configuration on the green database. This option migrates the green DB instance from the older 32-bit file system to the preferred configuration. For more information, see Upgrading the storage file system for a DB instance.
', 'CreateCustomDBEngineVersionMessage$UseAwsProvidedLatestImage' => 'Specifies whether to use the latest service-provided Amazon Machine Image (AMI) for the CEV. If you specify UseAwsProvidedLatestImage, you can\'t also specify ImageId.
Specifies whether the DB cluster is encrypted.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
For more information, see IAM Database Authentication in the Amazon Aurora User Guide or IAM database authentication for MariaDB, MySQL, and PostgreSQL in the Amazon RDS User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$DeletionProtection' => 'Specifies whether the DB cluster has deletion protection enabled. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$EnableHttpEndpoint' => 'Specifies whether to enable the HTTP endpoint for the DB cluster. By default, the HTTP endpoint isn\'t enabled.
When enabled, the HTTP endpoint provides a connectionless web service API (RDS Data API) for running SQL queries on the DB cluster. You can also query your database from inside the RDS console with the RDS query editor.
For more information, see Using RDS Data API in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBClusterMessage$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the DB cluster to snapshots of the DB cluster. The default is not to copy them.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$EnableGlobalWriteForwarding' => 'Specifies whether to enable this DB cluster to forward write operations to the primary cluster of a global cluster (Aurora global database). By default, write operations are not allowed on Aurora DB clusters that are secondary clusters in an Aurora global database.
You can set this value only on Aurora DB clusters that are members of an Aurora global database. With this parameter enabled, a secondary cluster can forward writes to the current primary cluster, and the resulting changes are replicated back to this cluster. For the primary DB cluster of an Aurora global database, this value is used immediately if the primary is demoted by a global cluster API operation, but it does nothing until then.
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBClusterMessage$PubliclyAccessible' => 'Specifies whether the DB cluster is publicly accessible.
When the DB cluster is publicly accessible and you connect from outside of the DB cluster\'s virtual private cloud (VPC), its Domain Name System (DNS) endpoint resolves to the public IP address. When you connect from within the same VPC as the DB cluster, the endpoint resolves to the private IP address. Access to the DB cluster is ultimately controlled by the security group it uses. That public access isn\'t permitted if the security group assigned to the DB cluster doesn\'t permit it.
When the DB cluster isn\'t publicly accessible, it is an internal DB cluster with a DNS name that resolves to a private IP address.
Valid for Cluster Type: Multi-AZ DB clusters only
Default: The default behavior varies depending on whether DBSubnetGroupName is specified.
If DBSubnetGroupName isn\'t specified, and PubliclyAccessible isn\'t specified, the following applies:
If the default VPC in the target Region doesn’t have an internet gateway attached to it, the DB cluster is private.
If the default VPC in the target Region has an internet gateway attached to it, the DB cluster is public.
If DBSubnetGroupName is specified, and PubliclyAccessible isn\'t specified, the following applies:
If the subnets are part of a VPC that doesn’t have an internet gateway attached to it, the DB cluster is private.
If the subnets are part of a VPC that has an internet gateway attached to it, the DB cluster is public.
Specifies whether minor engine upgrades are applied automatically to the DB cluster during the maintenance window. By default, minor engine upgrades are applied automatically.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB cluster
', 'CreateDBClusterMessage$EnablePerformanceInsights' => 'Specifies whether to turn on Performance Insights for the DB cluster.
For more information, see Using Amazon Performance Insights in the Amazon RDS User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$EnableLimitlessDatabase' => 'Specifies whether to enable Aurora Limitless Database. You must enable Aurora Limitless Database to create a DB shard group.
Valid for: Aurora DB clusters only
This setting is no longer used. Instead use the ClusterScalabilityType setting.
Specifies whether to manage the master user password with Amazon Web Services Secrets Manager.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide and Password management with Amazon Web Services Secrets Manager in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Can\'t manage the master user password with Amazon Web Services Secrets Manager if MasterUserPassword is specified.
Specifies whether read replicas can forward write operations to the writer DB instance in the DB cluster. By default, write operations aren\'t allowed on reader DB instances.
Valid for: Aurora DB clusters only
', 'CreateDBInstanceMessage$MultiAZ' => 'Specifies whether the DB instance is a Multi-AZ deployment. You can\'t set the AvailabilityZone parameter if the DB instance is a Multi-AZ deployment.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora (DB instance Availability Zones (AZs) are managed by the DB cluster.)
RDS Custom
Specifies whether minor engine upgrades are applied automatically to the DB instance during the maintenance window. By default, minor engine upgrades are applied automatically.
If you create an RDS Custom DB instance, you must set AutoMinorVersionUpgrade to false.
Specifies whether the DB instance is publicly accessible.
When the DB instance is publicly accessible and you connect from outside of the DB instance\'s virtual private cloud (VPC), its Domain Name System (DNS) endpoint resolves to the public IP address. When you connect from within the same VPC as the DB instance, the endpoint resolves to the private IP address. Access to the DB instance is ultimately controlled by the security group it uses. That public access is not permitted if the security group assigned to the DB instance doesn\'t permit it.
When the DB instance isn\'t publicly accessible, it is an internal DB instance with a DNS name that resolves to a private IP address.
Default: The default behavior varies depending on whether DBSubnetGroupName is specified.
If DBSubnetGroupName isn\'t specified, and PubliclyAccessible isn\'t specified, the following applies:
If the default VPC in the target Region doesn’t have an internet gateway attached to it, the DB instance is private.
If the default VPC in the target Region has an internet gateway attached to it, the DB instance is public.
If DBSubnetGroupName is specified, and PubliclyAccessible isn\'t specified, the following applies:
If the subnets are part of a VPC that doesn’t have an internet gateway attached to it, the DB instance is private.
If the subnets are part of a VPC that has an internet gateway attached to it, the DB instance is public.
Specifes whether the DB instance is encrypted. By default, it isn\'t encrypted.
For RDS Custom DB instances, either enable this setting or leave it unset. Otherwise, Amazon RDS reports an error.
This setting doesn\'t apply to Amazon Aurora DB instances. The encryption for DB instances is managed by the DB cluster.
', 'CreateDBInstanceMessage$CopyTagsToSnapshot' => 'Specifies whether to copy tags from the DB instance to snapshots of the DB instance. By default, tags are not copied.
This setting doesn\'t apply to Amazon Aurora DB instances. Copying tags to snapshots is managed by the DB cluster. Setting this value for an Aurora DB instance has no effect on the DB cluster setting.
', 'CreateDBInstanceMessage$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
For more information, see IAM Database Authentication for MySQL and PostgreSQL in the Amazon RDS User Guide.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora (Mapping Amazon Web Services IAM accounts to database accounts is managed by the DB cluster.)
RDS Custom
Specifies whether to enable Performance Insights for the DB instance. For more information, see Using Amazon Performance Insights in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceMessage$DeletionProtection' => 'Specifies whether the DB instance has deletion protection enabled. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled. For more information, see Deleting a DB Instance.
This setting doesn\'t apply to Amazon Aurora DB instances. You can enable or disable deletion protection for the DB cluster. For more information, see CreateDBCluster. DB instances in a DB cluster can be deleted even when deletion protection is enabled for the DB cluster.
Specifies whether to enable a customer-owned IP address (CoIP) for an RDS on Outposts DB instance.
A CoIP provides local or external connectivity to resources in your Outpost subnets through your on-premises network. For some use cases, a CoIP can provide lower latency for connections to the DB instance from outside of its virtual private cloud (VPC) on your local network.
For more information about RDS on Outposts, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
For more information about CoIPs, see Customer-owned IP addresses in the Amazon Web Services Outposts User Guide.
', 'CreateDBInstanceMessage$ManageMasterUserPassword' => 'Specifies whether to manage the master user password with Amazon Web Services Secrets Manager.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide.
Constraints:
Can\'t manage the master user password with Amazon Web Services Secrets Manager if MasterUserPassword is specified.
Indicates whether the DB instance has a dedicated log volume (DLV) enabled.
', 'CreateDBInstanceMessage$MultiTenant' => 'Specifies whether to use the multi-tenant configuration or the single-tenant configuration (default). This parameter only applies to RDS for Oracle container database (CDB) engines.
Note the following restrictions:
The DB engine that you specify in the request must support the multi-tenant configuration. If you attempt to enable the multi-tenant configuration on a DB engine that doesn\'t support it, the request fails.
If you specify the multi-tenant configuration when you create your DB instance, you can\'t later modify this DB instance to use the single-tenant configuration.
Specifies whether the read replica is in a Multi-AZ deployment.
You can create a read replica as a Multi-AZ DB instance. RDS creates a standby of your replica in another Availability Zone for failover support for the replica. Creating your read replica as a Multi-AZ DB instance is independent of whether the source is a Multi-AZ DB instance or a Multi-AZ DB cluster.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$AutoMinorVersionUpgrade' => 'Specifies whether to automatically apply minor engine upgrades to the read replica during the maintenance window.
This setting doesn\'t apply to RDS Custom DB instances.
Default: Inherits the value from the source DB instance.
', 'CreateDBInstanceReadReplicaMessage$PubliclyAccessible' => 'Specifies whether the DB instance is publicly accessible.
When the DB cluster is publicly accessible, its Domain Name System (DNS) endpoint resolves to the private IP address from within the DB cluster\'s virtual private cloud (VPC). It resolves to the public IP address from outside of the DB cluster\'s VPC. Access to the DB cluster is ultimately controlled by the security group it uses. That public access isn\'t permitted if the security group assigned to the DB cluster doesn\'t permit it.
When the DB instance isn\'t publicly accessible, it is an internal DB instance with a DNS name that resolves to a private IP address.
For more information, see CreateDBInstance.
', 'CreateDBInstanceReadReplicaMessage$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the read replica to snapshots of the read replica. By default, tags aren\'t copied.
', 'CreateDBInstanceReadReplicaMessage$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
For more information about IAM database authentication, see IAM Database Authentication for MySQL and PostgreSQL in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$EnablePerformanceInsights' => 'Specifies whether to enable Performance Insights for the read replica.
For more information, see Using Amazon Performance Insights in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$UseDefaultProcessorFeatures' => 'Specifies whether the DB instance class of the DB instance uses its default processor features.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$DeletionProtection' => 'Specifies whether to enable deletion protection for the DB instance. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled. For more information, see Deleting a DB Instance.
', 'CreateDBInstanceReadReplicaMessage$EnableCustomerOwnedIp' => 'Specifies whether to enable a customer-owned IP address (CoIP) for an RDS on Outposts read replica.
A CoIP provides local or external connectivity to resources in your Outpost subnets through your on-premises network. For some use cases, a CoIP can provide lower latency for connections to the read replica from outside of its virtual private cloud (VPC) on your local network.
For more information about RDS on Outposts, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
For more information about CoIPs, see Customer-owned IP addresses in the Amazon Web Services Outposts User Guide.
', 'CreateDBInstanceReadReplicaMessage$DedicatedLogVolume' => 'Indicates whether the DB instance has a dedicated log volume (DLV) enabled.
', 'CreateDBInstanceReadReplicaMessage$UpgradeStorageConfig' => 'Whether to upgrade the storage file system configuration on the read replica. This option migrates the read replica from the old storage file system layout to the preferred layout.
', 'CreateDBShardGroupMessage$PubliclyAccessible' => 'Specifies whether the DB shard group is publicly accessible.
When the DB shard group is publicly accessible, its Domain Name System (DNS) endpoint resolves to the private IP address from within the DB shard group\'s virtual private cloud (VPC). It resolves to the public IP address from outside of the DB shard group\'s VPC. Access to the DB shard group is ultimately controlled by the security group it uses. That public access is not permitted if the security group assigned to the DB shard group doesn\'t permit it.
When the DB shard group isn\'t publicly accessible, it is an internal DB shard group with a DNS name that resolves to a private IP address.
Default: The default behavior varies depending on whether DBSubnetGroupName is specified.
If DBSubnetGroupName isn\'t specified, and PubliclyAccessible isn\'t specified, the following applies:
If the default VPC in the target Region doesn’t have an internet gateway attached to it, the DB shard group is private.
If the default VPC in the target Region has an internet gateway attached to it, the DB shard group is public.
If DBSubnetGroupName is specified, and PubliclyAccessible isn\'t specified, the following applies:
If the subnets are part of a VPC that doesn’t have an internet gateway attached to it, the DB shard group is private.
If the subnets are part of a VPC that has an internet gateway attached to it, the DB shard group is public.
Specifies whether to activate the subscription. If the event notification subscription isn\'t activated, the subscription is created but not active.
', 'CreateGlobalClusterMessage$DeletionProtection' => 'Specifies whether to enable deletion protection for the new global database cluster. The global database can\'t be deleted when deletion protection is enabled.
', 'CreateGlobalClusterMessage$StorageEncrypted' => 'Specifies whether to enable storage encryption for the new global database cluster.
Constraints:
Can\'t be specified if SourceDBClusterIdentifier is specified. In this case, Amazon Aurora uses the setting from the source DB cluster.
Indicates whether the DB cluster has instances in multiple Availability Zones.
', 'DBCluster$IAMDatabaseAuthenticationEnabled' => 'Indicates whether the mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts is enabled.
', 'DBCluster$DeletionProtection' => 'Indicates whether the DB cluster has deletion protection enabled. The database can\'t be deleted when deletion protection is enabled.
', 'DBCluster$HttpEndpointEnabled' => 'Indicates whether the HTTP endpoint is enabled for an Aurora DB cluster.
When enabled, the HTTP endpoint provides a connectionless web service API (RDS Data API) for running SQL queries on the DB cluster. You can also query your database from inside the RDS console with the RDS query editor.
For more information, see Using RDS Data API in the Amazon Aurora User Guide.
', 'DBCluster$CopyTagsToSnapshot' => 'Indicates whether tags are copied from the DB cluster to snapshots of the DB cluster.
', 'DBCluster$CrossAccountClone' => 'Indicates whether the DB cluster is a clone of a DB cluster owned by a different Amazon Web Services account.
', 'DBCluster$GlobalWriteForwardingRequested' => 'Indicates whether write forwarding is enabled for a secondary cluster in an Aurora global database. Because write forwarding takes time to enable, check the value of GlobalWriteForwardingStatus to confirm that the request has completed before using the write forwarding feature for this cluster.
Indicates whether the DB cluster is publicly accessible.
When the DB cluster is publicly accessible and you connect from outside of the DB cluster\'s virtual private cloud (VPC), its Domain Name System (DNS) endpoint resolves to the public IP address. When you connect from within the same VPC as the DB cluster, the endpoint resolves to the private IP address. Access to the DB cluster is ultimately controlled by the security group it uses. That public access isn\'t permitted if the security group assigned to the DB cluster doesn\'t permit it.
When the DB cluster isn\'t publicly accessible, it is an internal DB cluster with a DNS name that resolves to a private IP address.
For more information, see CreateDBCluster.
This setting is only for non-Aurora Multi-AZ DB clusters.
', 'DBCluster$PerformanceInsightsEnabled' => 'Indicates whether Performance Insights is enabled for the DB cluster.
This setting is only for Aurora DB clusters and Multi-AZ DB clusters.
', 'DBEngineVersion$SupportsCertificateRotationWithoutRestart' => 'Indicates whether the engine version supports rotating the server certificate without rebooting the DB instance.
', 'DBEngineVersion$SupportsLocalWriteForwarding' => 'Indicates whether the DB engine version supports forwarding write operations from reader DB instances to the writer DB instance in the DB cluster. By default, write operations aren\'t allowed on reader DB instances.
Valid for: Aurora DB clusters only
', 'DBInstance$PerformanceInsightsEnabled' => 'Indicates whether Performance Insights is enabled for the DB instance.
', 'DBInstance$CustomerOwnedIpEnabled' => 'Indicates whether a customer-owned IP address (CoIP) is enabled for an RDS on Outposts DB instance.
A CoIP provides local or external connectivity to resources in your Outpost subnets through your on-premises network. For some use cases, a CoIP can provide lower latency for connections to the DB instance from outside of its virtual private cloud (VPC) on your local network.
For more information about RDS on Outposts, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
For more information about CoIPs, see Customer-owned IP addresses in the Amazon Web Services Outposts User Guide.
', 'DBInstance$ActivityStreamEngineNativeAuditFieldsIncluded' => 'Indicates whether engine-native audit fields are included in the database activity stream.
', 'DBInstance$IsStorageConfigUpgradeAvailable' => 'Indicates whether an upgrade is recommended for the storage file system configuration on the DB instance. To migrate to the preferred configuration, you can either create a blue/green deployment, or create a read replica from the DB instance. For more information, see Upgrading the storage file system for a DB instance.
', 'DBInstance$MultiTenant' => 'Specifies whether the DB instance is in the multi-tenant configuration (TRUE) or the single-tenant configuration (FALSE).
', 'DBInstanceAutomatedBackup$DedicatedLogVolume' => 'Indicates whether the DB instance has a dedicated log volume (DLV) enabled.
', 'DBInstanceAutomatedBackup$MultiTenant' => 'Specifies whether the automatic backup is for a DB instance in the multi-tenant configuration (TRUE) or the single-tenant configuration (FALSE).
', 'DBShardGroup$PubliclyAccessible' => 'Indicates whether the DB shard group is publicly accessible.
When the DB shard group is publicly accessible, its Domain Name System (DNS) endpoint resolves to the private IP address from within the DB shard group\'s virtual private cloud (VPC). It resolves to the public IP address from outside of the DB shard group\'s VPC. Access to the DB shard group is ultimately controlled by the security group it uses. That public access isn\'t permitted if the security group assigned to the DB shard group doesn\'t permit it.
When the DB shard group isn\'t publicly accessible, it is an internal DB shard group with a DNS name that resolves to a private IP address.
For more information, see CreateDBShardGroup.
This setting is only for Aurora Limitless Database.
', 'DBSnapshot$MultiTenant' => 'Indicates whether the snapshot is of a DB instance using the multi-tenant configuration (TRUE) or the single-tenant configuration (FALSE).
', 'DeleteBlueGreenDeploymentRequest$DeleteTarget' => 'Specifies whether to delete the resources in the green environment. You can\'t specify this option if the blue/green deployment status is SWITCHOVER_COMPLETED.
Specifies whether to remove automated backups immediately after the DB cluster is deleted. This parameter isn\'t case-sensitive. The default is to remove automated backups immediately after the DB cluster is deleted.
', 'DeleteDBInstanceMessage$DeleteAutomatedBackups' => 'Specifies whether to remove automated backups immediately after the DB instance is deleted. This parameter isn\'t case-sensitive. The default is to remove automated backups immediately after the DB instance is deleted.
', 'DescribeDBEngineVersionsMessage$ListSupportedCharacterSets' => 'Specifies whether to list the supported character sets for each engine version.
If this parameter is enabled and the requested engine supports the CharacterSetName parameter for CreateDBInstance, the response includes a list of supported character sets for each engine version.
For RDS Custom, the default is not to list supported character sets. If you enable this parameter, RDS Custom returns no results.
', 'DescribeDBEngineVersionsMessage$ListSupportedTimezones' => 'Specifies whether to list the supported time zones for each engine version.
If this parameter is enabled and the requested engine supports the TimeZone parameter for CreateDBInstance, the response includes a list of supported time zones for each engine version.
For RDS Custom, the default is not to list supported time zones. If you enable this parameter, RDS Custom returns no results.
', 'DescribeDBEngineVersionsMessage$IncludeAll' => 'Specifies whether to also list the engine versions that aren\'t available. The default is to list only available engine versions.
', 'DescribeOrderableDBInstanceOptionsMessage$Vpc' => 'Specifies whether to show only VPC or non-VPC offerings. RDS Custom supports only VPC offerings.
RDS Custom supports only VPC offerings. If you describe non-VPC offerings for RDS Custom, the output shows VPC offerings.
', 'DescribeReservedDBInstancesMessage$MultiAZ' => 'Specifies whether to show only those reservations that support Multi-AZ.
', 'DescribeReservedDBInstancesOfferingsMessage$MultiAZ' => 'Specifies whether to show only those reservations that support Multi-AZ.
', 'FailoverGlobalClusterMessage$AllowDataLoss' => 'Specifies whether to allow data loss for this global database cluster operation. Allowing data loss triggers a global failover operation.
If you don\'t specify AllowDataLoss, the global database cluster operation defaults to a switchover.
Constraints:
Can\'t be specified together with the Switchover parameter.
Specifies whether to switch over this global database cluster.
Constraints:
Can\'t be specified together with the AllowDataLoss parameter.
The storage encryption setting for the global database cluster.
', 'GlobalCluster$DeletionProtection' => 'The deletion protection setting for the new global database cluster.
', 'ModifyActivityStreamResponse$EngineNativeAuditFieldsIncluded' => 'Indicates whether engine-native audit fields are included in the database activity stream.
', 'ModifyCertificatesMessage$RemoveCustomerOverride' => 'Specifies whether to remove the override for the default certificate. If the override is removed, the default certificate is the system default.
', 'ModifyDBClusterMessage$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
For more information, see IAM Database Authentication in the Amazon Aurora User Guide or IAM database authentication for MariaDB, MySQL, and PostgreSQL in the Amazon RDS User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$DeletionProtection' => 'Specifies whether the DB cluster has deletion protection enabled. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$EnableHttpEndpoint' => 'Specifies whether to enable the HTTP endpoint for an Aurora Serverless v1 DB cluster. By default, the HTTP endpoint isn\'t enabled.
When enabled, the HTTP endpoint provides a connectionless web service API (RDS Data API) for running SQL queries on the Aurora Serverless v1 DB cluster. You can also query your database from inside the RDS console with the RDS query editor.
For more information, see Using RDS Data API in the Amazon Aurora User Guide.
This parameter applies only to Aurora Serverless v1 DB clusters. To enable or disable the HTTP endpoint for an Aurora Serverless v2 or provisioned DB cluster, use the EnableHttpEndpoint and DisableHttpEndpoint operations.
Valid for Cluster Type: Aurora DB clusters only
', 'ModifyDBClusterMessage$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the DB cluster to snapshots of the DB cluster. The default is not to copy them.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$EnableGlobalWriteForwarding' => 'Specifies whether to enable this DB cluster to forward write operations to the primary cluster of a global cluster (Aurora global database). By default, write operations are not allowed on Aurora DB clusters that are secondary clusters in an Aurora global database.
You can set this value only on Aurora DB clusters that are members of an Aurora global database. With this parameter enabled, a secondary cluster can forward writes to the current primary cluster, and the resulting changes are replicated back to this cluster. For the primary DB cluster of an Aurora global database, this value is used immediately if the primary is demoted by a global cluster API operation, but it does nothing until then.
Valid for Cluster Type: Aurora DB clusters only
', 'ModifyDBClusterMessage$AutoMinorVersionUpgrade' => 'Specifies whether minor engine upgrades are applied automatically to the DB cluster during the maintenance window. By default, minor engine upgrades are applied automatically.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$EnablePerformanceInsights' => 'Specifies whether to turn on Performance Insights for the DB cluster.
For more information, see Using Amazon Performance Insights in the Amazon RDS User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$ManageMasterUserPassword' => 'Specifies whether to manage the master user password with Amazon Web Services Secrets Manager.
If the DB cluster doesn\'t manage the master user password with Amazon Web Services Secrets Manager, you can turn on this management. In this case, you can\'t specify MasterUserPassword.
If the DB cluster already manages the master user password with Amazon Web Services Secrets Manager, and you specify that the master user password is not managed with Amazon Web Services Secrets Manager, then you must specify MasterUserPassword. In this case, RDS deletes the secret and uses the new password for the master user specified by MasterUserPassword.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide and Password management with Amazon Web Services Secrets Manager in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$RotateMasterUserPassword' => 'Specifies whether to rotate the secret managed by Amazon Web Services Secrets Manager for the master user password.
This setting is valid only if the master user password is managed by RDS in Amazon Web Services Secrets Manager for the DB cluster. The secret value contains the updated password.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide and Password management with Amazon Web Services Secrets Manager in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
You must apply the change immediately when rotating the master user password.
Specifies whether read replicas can forward write operations to the writer DB instance in the DB cluster. By default, write operations aren\'t allowed on reader DB instances.
Valid for: Aurora DB clusters only
', 'ModifyDBClusterMessage$EnableLimitlessDatabase' => 'Specifies whether to enable Aurora Limitless Database. You must enable Aurora Limitless Database to create a DB shard group.
Valid for: Aurora DB clusters only
This setting is no longer used. Instead use the ClusterScalabilityType setting when you create your Aurora Limitless Database DB cluster.
Specifies whether the DB instance is a Multi-AZ deployment. Changing this parameter doesn\'t result in an outage. The change is applied during the next maintenance window unless the ApplyImmediately parameter is enabled for this request.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$AutoMinorVersionUpgrade' => 'Specifies whether minor version upgrades are applied automatically to the DB instance during the maintenance window. An outage occurs when all the following conditions are met:
The automatic upgrade is enabled for the maintenance window.
A newer minor version is available.
RDS has enabled automatic patching for the engine version.
If any of the preceding conditions isn\'t met, Amazon RDS applies the change as soon as possible and doesn\'t cause an outage.
For an RDS Custom DB instance, don\'t enable this setting. Otherwise, the operation returns an error.
', 'ModifyDBInstanceMessage$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the DB instance to snapshots of the DB instance. By default, tags aren\'t copied.
This setting doesn\'t apply to Amazon Aurora DB instances. Copying tags to snapshots is managed by the DB cluster. Setting this value for an Aurora DB instance has no effect on the DB cluster setting. For more information, see ModifyDBCluster.
Specifies whether the DB instance is publicly accessible.
When the DB instance is publicly accessible and you connect from outside of the DB instance\'s virtual private cloud (VPC), its Domain Name System (DNS) endpoint resolves to the public IP address. When you connect from within the same VPC as the DB instance, the endpoint resolves to the private IP address. Access to the DB instance is ultimately controlled by the security group it uses. That public access isn\'t permitted if the security group assigned to the DB instance doesn\'t permit it.
When the DB instance isn\'t publicly accessible, it is an internal DB instance with a DNS name that resolves to a private IP address.
PubliclyAccessible only applies to DB instances in a VPC. The DB instance must be part of a public subnet and PubliclyAccessible must be enabled for it to be publicly accessible.
Changes to the PubliclyAccessible parameter are applied immediately regardless of the value of the ApplyImmediately parameter.
Specifies whether to remove the DB instance from the Active Directory domain.
', 'ModifyDBInstanceMessage$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
This setting doesn\'t apply to Amazon Aurora. Mapping Amazon Web Services IAM accounts to database accounts is managed by the DB cluster.
For more information about IAM database authentication, see IAM Database Authentication for MySQL and PostgreSQL in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$EnablePerformanceInsights' => 'Specifies whether to enable Performance Insights for the DB instance.
For more information, see Using Amazon Performance Insights in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$UseDefaultProcessorFeatures' => 'Specifies whether the DB instance class of the DB instance uses its default processor features.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$DeletionProtection' => 'Specifies whether the DB instance has deletion protection enabled. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled. For more information, see Deleting a DB Instance.
This setting doesn\'t apply to Amazon Aurora DB instances. You can enable or disable deletion protection for the DB cluster. For more information, see ModifyDBCluster. DB instances in a DB cluster can be deleted even when deletion protection is enabled for the DB cluster.
Specifies whether the DB instance is restarted when you rotate your SSL/TLS certificate.
By default, the DB instance is restarted when you rotate your SSL/TLS certificate. The certificate is not updated until the DB instance is restarted.
Set this parameter only if you are not using SSL/TLS to connect to the DB instance.
If you are using SSL/TLS to connect to the DB instance, follow the appropriate instructions for your DB engine to rotate your SSL/TLS certificate:
For more information about rotating your SSL/TLS certificate for RDS DB engines, see Rotating Your SSL/TLS Certificate. in the Amazon RDS User Guide.
For more information about rotating your SSL/TLS certificate for Aurora DB engines, see Rotating Your SSL/TLS Certificate in the Amazon Aurora User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$EnableCustomerOwnedIp' => 'Specifies whether to enable a customer-owned IP address (CoIP) for an RDS on Outposts DB instance.
A CoIP provides local or external connectivity to resources in your Outpost subnets through your on-premises network. For some use cases, a CoIP can provide lower latency for connections to the DB instance from outside of its virtual private cloud (VPC) on your local network.
For more information about RDS on Outposts, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
For more information about CoIPs, see Customer-owned IP addresses in the Amazon Web Services Outposts User Guide.
', 'ModifyDBInstanceMessage$ManageMasterUserPassword' => 'Specifies whether to manage the master user password with Amazon Web Services Secrets Manager.
If the DB instance doesn\'t manage the master user password with Amazon Web Services Secrets Manager, you can turn on this management. In this case, you can\'t specify MasterUserPassword.
If the DB instance already manages the master user password with Amazon Web Services Secrets Manager, and you specify that the master user password is not managed with Amazon Web Services Secrets Manager, then you must specify MasterUserPassword. In this case, Amazon RDS deletes the secret and uses the new password for the master user specified by MasterUserPassword.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide.
Constraints:
Can\'t manage the master user password with Amazon Web Services Secrets Manager if MasterUserPassword is specified.
Specifies whether to rotate the secret managed by Amazon Web Services Secrets Manager for the master user password.
This setting is valid only if the master user password is managed by RDS in Amazon Web Services Secrets Manager for the DB cluster. The secret value contains the updated password.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide.
Constraints:
You must apply the change immediately when rotating the master user password.
Indicates whether the DB instance has a dedicated log volume (DLV) enabled.
', 'ModifyDBInstanceMessage$MultiTenant' => 'Specifies whether the to convert your DB instance from the single-tenant configuration to the multi-tenant configuration. This parameter is supported only for RDS for Oracle CDB instances.
During the conversion, RDS creates an initial tenant database and associates the DB name, master user name, character set, and national character set metadata with this database. The tags associated with the instance also propagate to the initial tenant database. You can add more tenant databases to your DB instance by using the CreateTenantDatabase operation.
The conversion to the multi-tenant configuration is permanent and irreversible, so you can\'t later convert back to the single-tenant configuration. When you specify this parameter, you must also specify ApplyImmediately.
Whether Transport Layer Security (TLS) encryption is required for connections to the proxy. By enabling this setting, you can enforce encrypted TLS connections to the proxy, even if the associated database doesn\'t use TLS.
', 'ModifyDBProxyRequest$DebugLogging' => 'Whether the proxy includes detailed information about SQL statements in its logs. This information helps you to debug issues involving SQL behavior or the performance and scalability of the proxy connections. The debug information includes the text of SQL statements that you submit through the proxy. Thus, only enable this setting when needed for debugging, and only when you have security measures in place to safeguard any sensitive information that appears in the logs.
', 'ModifyEventSubscriptionMessage$Enabled' => 'Specifies whether to activate the subscription.
', 'ModifyGlobalClusterMessage$DeletionProtection' => 'Specifies whether to enable deletion protection for the global database cluster. The global database cluster can\'t be deleted when deletion protection is enabled.
', 'ModifyGlobalClusterMessage$AllowMajorVersionUpgrade' => 'Specifies whether to allow major version upgrades.
Constraints: Must be enabled if you specify a value for the EngineVersion parameter that\'s a different major version than the global cluster\'s current version.
If you upgrade the major version of a global database, the cluster and DB instance parameter groups are set to the default parameter groups for the new version. Apply any custom parameter groups after completing the upgrade.
', 'OptionGroupOption$SupportsOptionVersionDowngrade' => 'If true, you can change the option to an earlier version of the option. This only applies to options that have different versions available.
', 'OptionGroupOption$CopyableCrossAccount' => 'Indicates whether the option can be copied across Amazon Web Services accounts.
', 'OrderableDBInstanceOption$SupportsStorageAutoscaling' => 'Indicates whether Amazon RDS can automatically scale storage for DB instances that use the specified DB instance class.
', 'OrderableDBInstanceOption$SupportsKerberosAuthentication' => 'Indicates whether a DB instance supports Kerberos Authentication.
', 'PendingModifiedValues$MultiAZ' => 'Indicates whether the Single-AZ DB instance will change to a Multi-AZ deployment.
', 'PendingModifiedValues$IAMDatabaseAuthenticationEnabled' => 'Indicates whether mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts is enabled.
', 'PendingModifiedValues$DedicatedLogVolume' => 'Indicates whether the DB instance has a dedicated log volume (DLV) enabled.>
', 'PendingModifiedValues$MultiTenant' => 'Indicates whether the DB instance will change to the multi-tenant configuration (TRUE) or the single-tenant configuration (FALSE).
', 'RebootDBInstanceMessage$ForceFailover' => 'Specifies whether the reboot is conducted through a Multi-AZ failover.
Constraint: You can\'t enable force failover if the instance isn\'t configured for Multi-AZ.
', 'RestoreDBClusterFromS3Message$StorageEncrypted' => 'Specifies whether the restored DB cluster is encrypted.
', 'RestoreDBClusterFromS3Message$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
For more information, see IAM Database Authentication in the Amazon Aurora User Guide.
', 'RestoreDBClusterFromS3Message$DeletionProtection' => 'Specifies whether to enable deletion protection for the DB cluster. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled.
', 'RestoreDBClusterFromS3Message$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the restored DB cluster to snapshots of the restored DB cluster. The default is not to copy them.
', 'RestoreDBClusterFromS3Message$ManageMasterUserPassword' => 'Specifies whether to manage the master user password with Amazon Web Services Secrets Manager.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide and Password management with Amazon Web Services Secrets Manager in the Amazon Aurora User Guide.
Constraints:
Can\'t manage the master user password with Amazon Web Services Secrets Manager if MasterUserPassword is specified.
Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
For more information, see IAM Database Authentication in the Amazon Aurora User Guide or IAM database authentication for MariaDB, MySQL, and PostgreSQL in the Amazon RDS User Guide.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$DeletionProtection' => 'Specifies whether to enable deletion protection for the DB cluster. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the restored DB cluster to snapshots of the restored DB cluster. The default is not to copy them.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$PubliclyAccessible' => 'Specifies whether the DB cluster is publicly accessible.
When the DB cluster is publicly accessible, its Domain Name System (DNS) endpoint resolves to the private IP address from within the DB cluster\'s virtual private cloud (VPC). It resolves to the public IP address from outside of the DB cluster\'s VPC. Access to the DB cluster is ultimately controlled by the security group it uses. That public access is not permitted if the security group assigned to the DB cluster doesn\'t permit it.
When the DB cluster isn\'t publicly accessible, it is an internal DB cluster with a DNS name that resolves to a private IP address.
Default: The default behavior varies depending on whether DBSubnetGroupName is specified.
If DBSubnetGroupName isn\'t specified, and PubliclyAccessible isn\'t specified, the following applies:
If the default VPC in the target Region doesn’t have an internet gateway attached to it, the DB cluster is private.
If the default VPC in the target Region has an internet gateway attached to it, the DB cluster is public.
If DBSubnetGroupName is specified, and PubliclyAccessible isn\'t specified, the following applies:
If the subnets are part of a VPC that doesn’t have an internet gateway attached to it, the DB cluster is private.
If the subnets are part of a VPC that has an internet gateway attached to it, the DB cluster is public.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$EnablePerformanceInsights' => 'Specifies whether to turn on Performance Insights for the DB cluster.
', 'RestoreDBClusterToPointInTimeMessage$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
For more information, see IAM Database Authentication in the Amazon Aurora User Guide or IAM database authentication for MariaDB, MySQL, and PostgreSQL in the Amazon RDS User Guide.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$DeletionProtection' => 'Specifies whether to enable deletion protection for the DB cluster. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the restored DB cluster to snapshots of the restored DB cluster. The default is not to copy them.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$PubliclyAccessible' => 'Specifies whether the DB cluster is publicly accessible.
When the DB cluster is publicly accessible, its Domain Name System (DNS) endpoint resolves to the private IP address from within the DB cluster\'s virtual private cloud (VPC). It resolves to the public IP address from outside of the DB cluster\'s VPC. Access to the DB cluster is ultimately controlled by the security group it uses. That public access is not permitted if the security group assigned to the DB cluster doesn\'t permit it.
When the DB cluster isn\'t publicly accessible, it is an internal DB cluster with a DNS name that resolves to a private IP address.
Default: The default behavior varies depending on whether DBSubnetGroupName is specified.
If DBSubnetGroupName isn\'t specified, and PubliclyAccessible isn\'t specified, the following applies:
If the default VPC in the target Region doesn’t have an internet gateway attached to it, the DB cluster is private.
If the default VPC in the target Region has an internet gateway attached to it, the DB cluster is public.
If DBSubnetGroupName is specified, and PubliclyAccessible isn\'t specified, the following applies:
If the subnets are part of a VPC that doesn’t have an internet gateway attached to it, the DB cluster is private.
If the subnets are part of a VPC that has an internet gateway attached to it, the DB cluster is public.
Valid for: Multi-AZ DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$EnablePerformanceInsights' => 'Specifies whether to turn on Performance Insights for the DB cluster.
', 'RestoreDBInstanceFromDBSnapshotMessage$MultiAZ' => 'Specifies whether the DB instance is a Multi-AZ deployment.
This setting doesn\'t apply to RDS Custom.
Constraint: You can\'t specify the AvailabilityZone parameter if the DB instance is a Multi-AZ deployment.
Specifies whether the DB instance is publicly accessible.
When the DB instance is publicly accessible, its Domain Name System (DNS) endpoint resolves to the private IP address from within the DB instance\'s virtual private cloud (VPC). It resolves to the public IP address from outside of the DB instance\'s VPC. Access to the DB instance is ultimately controlled by the security group it uses. That public access is not permitted if the security group assigned to the DB instance doesn\'t permit it.
When the DB instance isn\'t publicly accessible, it is an internal DB instance with a DNS name that resolves to a private IP address.
For more information, see CreateDBInstance.
', 'RestoreDBInstanceFromDBSnapshotMessage$AutoMinorVersionUpgrade' => 'Specifies whether to automatically apply minor version upgrades to the DB instance during the maintenance window.
If you restore an RDS Custom DB instance, you must disable this parameter.
', 'RestoreDBInstanceFromDBSnapshotMessage$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the restored DB instance to snapshots of the DB instance.
In most cases, tags aren\'t copied by default. However, when you restore a DB instance from a DB snapshot, RDS checks whether you specify new tags. If yes, the new tags are added to the restored DB instance. If there are no new tags, RDS looks for the tags from the source DB instance for the DB snapshot, and then adds those tags to the restored DB instance.
For more information, see Copying tags to DB instance snapshots in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromDBSnapshotMessage$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping is disabled.
For more information about IAM database authentication, see IAM Database Authentication for MySQL and PostgreSQL in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceFromDBSnapshotMessage$UseDefaultProcessorFeatures' => 'Specifies whether the DB instance class of the DB instance uses its default processor features.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceFromDBSnapshotMessage$DeletionProtection' => 'Specifies whether to enable deletion protection for the DB instance. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled. For more information, see Deleting a DB Instance.
', 'RestoreDBInstanceFromDBSnapshotMessage$EnableCustomerOwnedIp' => 'Specifies whether to enable a customer-owned IP address (CoIP) for an RDS on Outposts DB instance.
A CoIP provides local or external connectivity to resources in your Outpost subnets through your on-premises network. For some use cases, a CoIP can provide lower latency for connections to the DB instance from outside of its virtual private cloud (VPC) on your local network.
This setting doesn\'t apply to RDS Custom.
For more information about RDS on Outposts, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
For more information about CoIPs, see Customer-owned IP addresses in the Amazon Web Services Outposts User Guide.
', 'RestoreDBInstanceFromDBSnapshotMessage$DedicatedLogVolume' => 'Specifies whether to enable a dedicated log volume (DLV) for the DB instance.
', 'RestoreDBInstanceFromS3Message$MultiAZ' => 'Specifies whether the DB instance is a Multi-AZ deployment. If the DB instance is a Multi-AZ deployment, you can\'t set the AvailabilityZone parameter.
Specifies whether to automatically apply minor engine upgrades to the DB instance during the maintenance window. By default, minor engine upgrades are not applied automatically.
', 'RestoreDBInstanceFromS3Message$PubliclyAccessible' => 'Specifies whether the DB instance is publicly accessible.
When the DB instance is publicly accessible, its Domain Name System (DNS) endpoint resolves to the private IP address from within the DB instance\'s virtual private cloud (VPC). It resolves to the public IP address from outside of the DB instance\'s VPC. Access to the DB instance is ultimately controlled by the security group it uses. That public access is not permitted if the security group assigned to the DB instance doesn\'t permit it.
When the DB instance isn\'t publicly accessible, it is an internal DB instance with a DNS name that resolves to a private IP address.
For more information, see CreateDBInstance.
', 'RestoreDBInstanceFromS3Message$StorageEncrypted' => 'Specifies whether the new DB instance is encrypted or not.
', 'RestoreDBInstanceFromS3Message$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the DB instance to snapshots of the DB instance. By default, tags are not copied.
', 'RestoreDBInstanceFromS3Message$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
For more information about IAM database authentication, see IAM Database Authentication for MySQL and PostgreSQL in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromS3Message$EnablePerformanceInsights' => 'Specifies whether to enable Performance Insights for the DB instance.
For more information, see Using Amazon Performance Insights in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromS3Message$UseDefaultProcessorFeatures' => 'Specifies whether the DB instance class of the DB instance uses its default processor features.
', 'RestoreDBInstanceFromS3Message$DeletionProtection' => 'Specifies whether to enable deletion protection for the DB instance. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled. For more information, see Deleting a DB Instance.
', 'RestoreDBInstanceFromS3Message$ManageMasterUserPassword' => 'Specifies whether to manage the master user password with Amazon Web Services Secrets Manager.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide.
Constraints:
Can\'t manage the master user password with Amazon Web Services Secrets Manager if MasterUserPassword is specified.
Specifies whether to enable a dedicated log volume (DLV) for the DB instance.
', 'RestoreDBInstanceToPointInTimeMessage$MultiAZ' => 'Secifies whether the DB instance is a Multi-AZ deployment.
This setting doesn\'t apply to RDS Custom.
Constraints:
You can\'t specify the AvailabilityZone parameter if the DB instance is a Multi-AZ deployment.
Specifies whether the DB instance is publicly accessible.
When the DB cluster is publicly accessible, its Domain Name System (DNS) endpoint resolves to the private IP address from within the DB cluster\'s virtual private cloud (VPC). It resolves to the public IP address from outside of the DB cluster\'s VPC. Access to the DB cluster is ultimately controlled by the security group it uses. That public access isn\'t permitted if the security group assigned to the DB cluster doesn\'t permit it.
When the DB instance isn\'t publicly accessible, it is an internal DB instance with a DNS name that resolves to a private IP address.
For more information, see CreateDBInstance.
', 'RestoreDBInstanceToPointInTimeMessage$AutoMinorVersionUpgrade' => 'Specifies whether minor version upgrades are applied automatically to the DB instance during the maintenance window.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceToPointInTimeMessage$CopyTagsToSnapshot' => 'Specifies whether to copy all tags from the restored DB instance to snapshots of the DB instance. By default, tags are not copied.
', 'RestoreDBInstanceToPointInTimeMessage$EnableIAMDatabaseAuthentication' => 'Specifies whether to enable mapping of Amazon Web Services Identity and Access Management (IAM) accounts to database accounts. By default, mapping isn\'t enabled.
This setting doesn\'t apply to RDS Custom.
For more information about IAM database authentication, see IAM Database Authentication for MySQL and PostgreSQL in the Amazon RDS User Guide.
', 'RestoreDBInstanceToPointInTimeMessage$UseDefaultProcessorFeatures' => 'Specifies whether the DB instance class of the DB instance uses its default processor features.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceToPointInTimeMessage$DeletionProtection' => 'Specifies whether the DB instance has deletion protection enabled. The database can\'t be deleted when deletion protection is enabled. By default, deletion protection isn\'t enabled. For more information, see Deleting a DB Instance.
', 'RestoreDBInstanceToPointInTimeMessage$EnableCustomerOwnedIp' => 'Specifies whether to enable a customer-owned IP address (CoIP) for an RDS on Outposts DB instance.
A CoIP provides local or external connectivity to resources in your Outpost subnets through your on-premises network. For some use cases, a CoIP can provide lower latency for connections to the DB instance from outside of its virtual private cloud (VPC) on your local network.
This setting doesn\'t apply to RDS Custom.
For more information about RDS on Outposts, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
For more information about CoIPs, see Customer-owned IP addresses in the Amazon Web Services Outposts User Guide.
', 'RestoreDBInstanceToPointInTimeMessage$DedicatedLogVolume' => 'Specifies whether to enable a dedicated log volume (DLV) for the DB instance.
', 'ScalingConfiguration$AutoPause' => 'Indicates whether to allow or disallow automatic pause for an Aurora DB cluster in serverless DB engine mode. A DB cluster can be paused only when it\'s idle (it has no connections).
If a DB cluster is paused for more than seven days, the DB cluster might be backed up with a snapshot. In this case, the DB cluster is restored when there is a request to connect to it.
Indicates whether automatic pause is allowed for the Aurora DB cluster in serverless DB engine mode.
When the value is set to false for an Aurora Serverless v1 DB cluster, the DB cluster automatically resumes.
', 'StartActivityStreamRequest$ApplyImmediately' => 'Specifies whether or not the database activity stream is to start as soon as possible, regardless of the maintenance window for the database.
', 'StartActivityStreamRequest$EngineNativeAuditFieldsIncluded' => 'Specifies whether the database activity stream includes engine-native audit fields. This option applies to an Oracle or Microsoft SQL Server DB instance. By default, no engine-native audit fields are included.
', 'StartActivityStreamResponse$EngineNativeAuditFieldsIncluded' => 'Indicates whether engine-native audit fields are included in the database activity stream.
', 'StopActivityStreamRequest$ApplyImmediately' => 'Specifies whether or not the database activity stream is to stop as soon as possible, regardless of the maintenance window for the database.
', 'UpgradeTarget$SupportsParallelQuery' => 'Indicates whether you can use Aurora parallel query with the target engine version.
', 'UpgradeTarget$SupportsGlobalDatabases' => 'Indicates whether you can use Aurora global databases with the target engine version.
', 'UpgradeTarget$SupportsBabelfish' => 'Indicates whether you can use Babelfish for Aurora PostgreSQL with the target engine version.
', 'UpgradeTarget$SupportsLimitlessDatabase' => 'Indicates whether the DB engine version supports Aurora Limitless Database.
', 'UpgradeTarget$SupportsLocalWriteForwarding' => 'Indicates whether the target engine version supports forwarding write operations from reader DB instances to the writer DB instance in the DB cluster. By default, write operations aren\'t allowed on reader DB instances.
Valid for: Aurora DB clusters only
', 'UpgradeTarget$SupportsIntegrations' => 'Indicates whether the DB engine version supports zero-ETL integrations with Amazon Redshift.
', ], ], 'BucketName' => [ 'base' => NULL, 'refs' => [ 'CreateCustomDBEngineVersionMessage$DatabaseInstallationFilesS3BucketName' => 'The name of an Amazon S3 bucket that contains database installation files for your CEV. For example, a valid bucket name is my-custom-installation-files.
A list of the supported CA certificate identifiers.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', ], ], 'CancelExportTaskMessage' => [ 'base' => NULL, 'refs' => [], ], 'Certificate' => [ 'base' => 'A CA certificate for an Amazon Web Services account.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'refs' => [ 'CertificateList$member' => NULL, 'ModifyCertificatesResult$Certificate' => NULL, ], ], 'CertificateDetails' => [ 'base' => 'The details of the DB instance’s server certificate.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'refs' => [ 'ClusterPendingModifiedValues$CertificateDetails' => NULL, 'DBCluster$CertificateDetails' => NULL, 'DBInstance$CertificateDetails' => 'The details of the DB instance\'s server certificate.
', ], ], 'CertificateList' => [ 'base' => NULL, 'refs' => [ 'CertificateMessage$Certificates' => 'The list of Certificate objects for the Amazon Web Services account.
Data returned by the DescribeCertificates action.
', 'refs' => [], ], 'CertificateNotFoundFault' => [ 'base' => ' CertificateIdentifier doesn\'t refer to an existing certificate.
This data type is used as a response element in the action DescribeDBEngineVersions.
The default character set for new instances of this engine version, if the CharacterSetName parameter of the CreateDBInstance API isn\'t specified.
The type of authentication the proxy uses for connections from clients.
', 'UserAuthConfigInfo$ClientPasswordAuthType' => 'The type of authentication the proxy uses for connections from clients.
', ], ], 'CloudwatchLogsExportConfiguration' => [ 'base' => 'The configuration setting for the log types to be enabled for export to CloudWatch Logs for a specific DB instance or DB cluster.
The EnableLogTypes and DisableLogTypes arrays determine which logs will be exported (or not exported) to CloudWatch Logs. The values within these arrays depend on the DB engine being used.
For more information about exporting CloudWatch Logs for Amazon RDS DB instances, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
For more information about exporting CloudWatch Logs for Amazon Aurora DB clusters, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon Aurora User Guide.
', 'refs' => [ 'ModifyDBClusterMessage$CloudwatchLogsExportConfiguration' => 'The configuration setting for the log types to be enabled for export to CloudWatch Logs for a specific DB cluster.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
The following values are valid for each DB engine:
Aurora MySQL - audit | error | general | slowquery
Aurora PostgreSQL - postgresql
RDS for MySQL - error | general | slowquery
RDS for PostgreSQL - postgresql | upgrade
For more information about exporting CloudWatch Logs for Amazon RDS, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
For more information about exporting CloudWatch Logs for Amazon Aurora, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon Aurora User Guide.
', 'ModifyDBInstanceMessage$CloudwatchLogsExportConfiguration' => 'The log types to be enabled for export to CloudWatch Logs for a specific DB instance.
A change to the CloudwatchLogsExportConfiguration parameter is always applied to the DB instance immediately. Therefore, the ApplyImmediately parameter has no effect.
This setting doesn\'t apply to RDS Custom DB instances.
The following values are valid for each DB engine:
Aurora MySQL - audit | error | general | slowquery
Aurora PostgreSQL - postgresql
RDS for MySQL - error | general | slowquery
RDS for PostgreSQL - postgresql | upgrade
For more information about exporting CloudWatch Logs for Amazon RDS, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
For more information about exporting CloudWatch Logs for Amazon Aurora, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon Aurora User Guide.
', ], ], 'ClusterPendingModifiedValues' => [ 'base' => 'This data type is used as a response element in the ModifyDBCluster operation and contains changes that will be applied during the next maintenance window.
Information about pending changes to the DB cluster. This information is returned only when there are pending changes. Specific changes are identified by subelements.
', ], ], 'ClusterScalabilityType' => [ 'base' => NULL, 'refs' => [ 'CreateDBClusterMessage$ClusterScalabilityType' => 'Specifies the scalability mode of the Aurora DB cluster. When set to limitless, the cluster operates as an Aurora Limitless Database. When set to standard (the default), the cluster uses normal DB instance creation.
Valid for: Aurora DB clusters only
You can\'t modify this setting after you create the DB cluster.
The scalability mode of the Aurora DB cluster. When set to limitless, the cluster operates as an Aurora Limitless Database. When set to standard (the default), the cluster uses normal DB instance creation.
Specifies the settings that control the size and behavior of the connection pool associated with a DBProxyTargetGroup.
The settings that determine the size and behavior of the connection pool for the target group.
', ], ], 'ConnectionPoolConfigurationInfo' => [ 'base' => 'Displays the settings that control the size and behavior of the connection pool associated with a DBProxyTarget.
The settings that determine the size and behavior of the connection pool for the target group.
', ], ], 'ContextAttribute' => [ 'base' => 'The additional attributes of RecommendedAction data type.
The supporting attributes to explain the recommended action.
', ], ], 'CopyDBClusterParameterGroupMessage' => [ 'base' => NULL, 'refs' => [], ], 'CopyDBClusterParameterGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'CopyDBClusterSnapshotMessage' => [ 'base' => '', 'refs' => [], ], 'CopyDBClusterSnapshotResult' => [ 'base' => NULL, 'refs' => [], ], 'CopyDBParameterGroupMessage' => [ 'base' => '', 'refs' => [], ], 'CopyDBParameterGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'CopyDBSnapshotMessage' => [ 'base' => '', 'refs' => [], ], 'CopyDBSnapshotResult' => [ 'base' => NULL, 'refs' => [], ], 'CopyOptionGroupMessage' => [ 'base' => '', 'refs' => [], ], 'CopyOptionGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateBlueGreenDeploymentRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateBlueGreenDeploymentResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateCustomDBEngineVersionFault' => [ 'base' => 'An error occurred while trying to create the CEV.
', 'refs' => [], ], 'CreateCustomDBEngineVersionMessage' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBClusterEndpointMessage' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBClusterMessage' => [ 'base' => '', 'refs' => [], ], 'CreateDBClusterParameterGroupMessage' => [ 'base' => '', 'refs' => [], ], 'CreateDBClusterParameterGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBClusterSnapshotMessage' => [ 'base' => '', 'refs' => [], ], 'CreateDBClusterSnapshotResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBInstanceMessage' => [ 'base' => '', 'refs' => [], ], 'CreateDBInstanceReadReplicaMessage' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBInstanceReadReplicaResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBInstanceResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBParameterGroupMessage' => [ 'base' => '', 'refs' => [], ], 'CreateDBParameterGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBProxyEndpointRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBProxyEndpointResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBProxyRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBProxyResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBSecurityGroupMessage' => [ 'base' => '', 'refs' => [], ], 'CreateDBSecurityGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBShardGroupMessage' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBSnapshotMessage' => [ 'base' => '', 'refs' => [], ], 'CreateDBSnapshotResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateDBSubnetGroupMessage' => [ 'base' => '', 'refs' => [], ], 'CreateDBSubnetGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateEventSubscriptionMessage' => [ 'base' => '', 'refs' => [], ], 'CreateEventSubscriptionResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateGlobalClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'CreateGlobalClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateIntegrationMessage' => [ 'base' => NULL, 'refs' => [], ], 'CreateOptionGroupMessage' => [ 'base' => '', 'refs' => [], ], 'CreateOptionGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'CreateTenantDatabaseMessage' => [ 'base' => NULL, 'refs' => [], ], 'CreateTenantDatabaseResult' => [ 'base' => NULL, 'refs' => [], ], 'CustomAvailabilityZoneNotFoundFault' => [ 'base' => ' CustomAvailabilityZoneId doesn\'t refer to an existing custom Availability Zone identifier.
A value that indicates the AMI information.
', 'refs' => [ 'DBEngineVersion$Image' => 'The EC2 image
', ], ], 'CustomDBEngineVersionAlreadyExistsFault' => [ 'base' => 'A CEV with the specified name already exists.
', 'refs' => [], ], 'CustomDBEngineVersionManifest' => [ 'base' => NULL, 'refs' => [ 'CreateCustomDBEngineVersionMessage$Manifest' => 'The CEV manifest, which is a JSON document that describes the installation .zip files stored in Amazon S3. Specify the name/value pairs in a file or a quoted string. RDS Custom applies the patches in the order in which they are listed.
The following JSON fields are valid:
Version of the CEV manifest. The date is in the format YYYY-MM-DD.
Ordered list of installation files for the CEV.
Ordered list of OPatch installers used for the Oracle DB engine.
The PSU and RU patches for this CEV.
The patches that are not in the list of PSU and RU patches. Amazon RDS applies these patches after applying the PSU and RU patches.
For more information, see Creating the CEV manifest in the Amazon RDS User Guide.
', 'DBEngineVersion$CustomDBEngineVersionManifest' => 'JSON string that lists the installation files and parameters that RDS Custom uses to create a custom engine version (CEV). RDS Custom applies the patches in the order in which they\'re listed in the manifest. You can set the Oracle home, Oracle base, and UNIX/Linux user and group using the installation parameters. For more information, see JSON fields in the CEV manifest in the Amazon RDS User Guide.
', ], ], 'CustomDBEngineVersionNotFoundFault' => [ 'base' => 'The specified CEV was not found.
', 'refs' => [], ], 'CustomDBEngineVersionQuotaExceededFault' => [ 'base' => 'You have exceeded your CEV quota.
', 'refs' => [], ], 'CustomEngineName' => [ 'base' => NULL, 'refs' => [ 'CreateCustomDBEngineVersionMessage$Engine' => 'The database engine. RDS Custom for Oracle supports the following values:
custom-oracle-ee
custom-oracle-ee-cdb
custom-oracle-se2
custom-oracle-se2-cdb
The database engine. RDS Custom for Oracle supports the following values:
custom-oracle-ee
custom-oracle-ee-cdb
custom-oracle-se2
custom-oracle-se2-cdb
The database engine. RDS Custom for Oracle supports the following values:
custom-oracle-ee
custom-oracle-ee-cdb
custom-oracle-se2
custom-oracle-se2-cdb
The name of your CEV. The name format is 19.customized_string. For example, a valid CEV name is 19.my_cev1. This setting is required for RDS Custom for Oracle, but optional for Amazon RDS. The combination of Engine and EngineVersion is unique per customer per Region.
The custom engine version (CEV) for your DB instance. This option is required for RDS Custom, but optional for Amazon RDS. The combination of Engine and EngineVersion is unique per customer per Amazon Web Services Region.
The custom engine version (CEV) that you want to modify. This option is required for RDS Custom for Oracle, but optional for Amazon RDS. The combination of Engine and EngineVersion is unique per customer per Amazon Web Services Region.
The availability status to be assigned to the CEV. Valid values are as follows:
You can use this CEV to create a new RDS Custom DB instance.
You can create a new RDS Custom instance by restoring a DB snapshot with this CEV. You can\'t patch or create new instances with this CEV.
You can change any status to any status. A typical reason to change status is to prevent the accidental use of a CEV, or to make a deprecated CEV eligible for use again. For example, you might change the status of your CEV from available to inactive, and from inactive back to available. To change the availability status of the CEV, it must not currently be in use by an RDS Custom instance, snapshot, or automated backup.
Contains the details of an Amazon Aurora DB cluster or Multi-AZ DB cluster.
For an Amazon Aurora DB cluster, this data type is used as a response element in the operations CreateDBCluster, DeleteDBCluster, DescribeDBClusters, FailoverDBCluster, ModifyDBCluster, PromoteReadReplicaDBCluster, RestoreDBClusterFromS3, RestoreDBClusterFromSnapshot, RestoreDBClusterToPointInTime, StartDBCluster, and StopDBCluster.
For a Multi-AZ DB cluster, this data type is used as a response element in the operations CreateDBCluster, DeleteDBCluster, DescribeDBClusters, FailoverDBCluster, ModifyDBCluster, RebootDBCluster, RestoreDBClusterFromSnapshot, and RestoreDBClusterToPointInTime.
For more information on Amazon Aurora DB clusters, see What is Amazon Aurora? in the Amazon Aurora User Guide.
For more information on Multi-AZ DB clusters, see Multi-AZ deployments with two readable standby DB instances in the Amazon RDS User Guide.
', 'refs' => [ 'CreateDBClusterResult$DBCluster' => NULL, 'DBClusterList$member' => NULL, 'DeleteDBClusterResult$DBCluster' => NULL, 'FailoverDBClusterResult$DBCluster' => NULL, 'ModifyDBClusterResult$DBCluster' => NULL, 'PromoteReadReplicaDBClusterResult$DBCluster' => NULL, 'RebootDBClusterResult$DBCluster' => NULL, 'RestoreDBClusterFromS3Result$DBCluster' => NULL, 'RestoreDBClusterFromSnapshotResult$DBCluster' => NULL, 'RestoreDBClusterToPointInTimeResult$DBCluster' => NULL, 'StartDBClusterResult$DBCluster' => NULL, 'StopDBClusterResult$DBCluster' => NULL, ], ], 'DBClusterAlreadyExistsFault' => [ 'base' => 'The user already has a DB cluster with the given identifier.
', 'refs' => [], ], 'DBClusterAutomatedBackup' => [ 'base' => 'An automated backup of a DB cluster. It consists of system backups, transaction logs, and the database cluster properties that existed at the time you deleted the source cluster.
', 'refs' => [ 'DBClusterAutomatedBackupList$member' => NULL, 'DeleteDBClusterAutomatedBackupResult$DBClusterAutomatedBackup' => NULL, ], ], 'DBClusterAutomatedBackupList' => [ 'base' => NULL, 'refs' => [ 'DBClusterAutomatedBackupMessage$DBClusterAutomatedBackups' => 'A list of DBClusterAutomatedBackup backups.
No automated backup for this DB cluster was found.
', 'refs' => [], ], 'DBClusterAutomatedBackupQuotaExceededFault' => [ 'base' => 'The quota for retained automated backups was exceeded. This prevents you from retaining any additional automated backups. The retained automated backups quota is the same as your DB cluster quota.
', 'refs' => [], ], 'DBClusterBacktrack' => [ 'base' => 'This data type is used as a response element in the DescribeDBClusterBacktracks action.
Contains a list of backtracks for the user.
', ], ], 'DBClusterBacktrackMessage' => [ 'base' => 'Contains the result of a successful invocation of the DescribeDBClusterBacktracks action.
BacktrackIdentifier doesn\'t refer to an existing backtrack.
This data type represents the information you need to connect to an Amazon Aurora DB cluster. This data type is used as a response element in the following actions:
CreateDBClusterEndpoint
DescribeDBClusterEndpoints
ModifyDBClusterEndpoint
DeleteDBClusterEndpoint
For the data structure that represents Amazon RDS DB instance endpoints, see Endpoint.
The specified custom endpoint can\'t be created because it already exists.
', 'refs' => [], ], 'DBClusterEndpointList' => [ 'base' => NULL, 'refs' => [ 'DBClusterEndpointMessage$DBClusterEndpoints' => 'Contains the details of the endpoints associated with the cluster and matching any filter conditions.
', ], ], 'DBClusterEndpointMessage' => [ 'base' => NULL, 'refs' => [], ], 'DBClusterEndpointNotFoundFault' => [ 'base' => 'The specified custom endpoint doesn\'t exist.
', 'refs' => [], ], 'DBClusterEndpointQuotaExceededFault' => [ 'base' => 'The cluster already has the maximum number of custom endpoints.
', 'refs' => [], ], 'DBClusterIdentifier' => [ 'base' => NULL, 'refs' => [ 'FailoverGlobalClusterMessage$TargetDbClusterIdentifier' => 'The identifier of the secondary Aurora DB cluster that you want to promote to the primary for the global database cluster. Use the Amazon Resource Name (ARN) for the identifier so that Aurora can locate the cluster in its Amazon Web Services Region.
', 'SwitchoverGlobalClusterMessage$TargetDbClusterIdentifier' => 'The identifier of the secondary Aurora DB cluster to promote to the new primary for the global database cluster. Use the Amazon Resource Name (ARN) for the identifier so that Aurora can locate the cluster in its Amazon Web Services Region.
', ], ], 'DBClusterList' => [ 'base' => NULL, 'refs' => [ 'DBClusterMessage$DBClusters' => 'Contains a list of DB clusters for the user.
', ], ], 'DBClusterMember' => [ 'base' => 'Contains information about an instance that is part of a DB cluster.
', 'refs' => [ 'DBClusterMemberList$member' => NULL, ], ], 'DBClusterMemberList' => [ 'base' => NULL, 'refs' => [ 'DBCluster$DBClusterMembers' => 'The list of DB instances that make up the DB cluster.
', ], ], 'DBClusterMessage' => [ 'base' => 'Contains the result of a successful invocation of the DescribeDBClusters action.
DBClusterIdentifier doesn\'t refer to an existing DB cluster.
The list of option group memberships for this DB cluster.
', ], ], 'DBClusterOptionGroupStatus' => [ 'base' => 'Contains status information for a DB cluster option group.
', 'refs' => [ 'DBClusterOptionGroupMemberships$member' => NULL, ], ], 'DBClusterParameterGroup' => [ 'base' => 'Contains the details of an Amazon RDS DB cluster parameter group.
This data type is used as a response element in the DescribeDBClusterParameterGroups action.
Provides details about a DB cluster parameter group including the parameters in the DB cluster parameter group.
', 'refs' => [], ], 'DBClusterParameterGroupList' => [ 'base' => NULL, 'refs' => [ 'DBClusterParameterGroupsMessage$DBClusterParameterGroups' => 'A list of DB cluster parameter groups.
', ], ], 'DBClusterParameterGroupNameMessage' => [ 'base' => '', 'refs' => [], ], 'DBClusterParameterGroupNotFoundFault' => [ 'base' => ' DBClusterParameterGroupName doesn\'t refer to an existing DB cluster parameter group.
The user attempted to create a new DB cluster and the user has already reached the maximum allowed DB cluster quota.
', 'refs' => [], ], 'DBClusterRole' => [ 'base' => 'Describes an Amazon Web Services Identity and Access Management (IAM) role that is associated with a DB cluster.
', 'refs' => [ 'DBClusterRoles$member' => NULL, ], ], 'DBClusterRoleAlreadyExistsFault' => [ 'base' => 'The specified IAM role Amazon Resource Name (ARN) is already associated with the specified DB cluster.
', 'refs' => [], ], 'DBClusterRoleNotFoundFault' => [ 'base' => 'The specified IAM role Amazon Resource Name (ARN) isn\'t associated with the specified DB cluster.
', 'refs' => [], ], 'DBClusterRoleQuotaExceededFault' => [ 'base' => 'You have exceeded the maximum number of IAM roles that can be associated with the specified DB cluster.
', 'refs' => [], ], 'DBClusterRoles' => [ 'base' => NULL, 'refs' => [ 'DBCluster$AssociatedRoles' => 'A list of the Amazon Web Services Identity and Access Management (IAM) roles that are associated with the DB cluster. IAM roles that are associated with a DB cluster grant permission for the DB cluster to access other Amazon Web Services on your behalf.
', ], ], 'DBClusterSnapshot' => [ 'base' => 'Contains the details for an Amazon RDS DB cluster snapshot
This data type is used as a response element in the DescribeDBClusterSnapshots action.
The user already has a DB cluster snapshot with the given identifier.
', 'refs' => [], ], 'DBClusterSnapshotAttribute' => [ 'base' => 'Contains the name and values of a manual DB cluster snapshot attribute.
Manual DB cluster snapshot attributes are used to authorize other Amazon Web Services accounts to restore a manual DB cluster snapshot. For more information, see the ModifyDBClusterSnapshotAttribute API action.
The list of attributes and values for the manual DB cluster snapshot.
', ], ], 'DBClusterSnapshotAttributesResult' => [ 'base' => 'Contains the results of a successful call to the DescribeDBClusterSnapshotAttributes API action.
Manual DB cluster snapshot attributes are used to authorize other Amazon Web Services accounts to copy or restore a manual DB cluster snapshot. For more information, see the ModifyDBClusterSnapshotAttribute API action.
Provides a list of DB cluster snapshots for the user.
', ], ], 'DBClusterSnapshotMessage' => [ 'base' => 'Provides a list of DB cluster snapshots for the user as the result of a call to the DescribeDBClusterSnapshots action.
DBClusterSnapshotIdentifier doesn\'t refer to an existing DB cluster snapshot.
Reserved for future use.
', 'refs' => [ 'DBClusterStatusInfoList$member' => NULL, ], ], 'DBClusterStatusInfoList' => [ 'base' => NULL, 'refs' => [ 'DBCluster$StatusInfos' => 'Reserved for future use.
', ], ], 'DBEngineVersion' => [ 'base' => 'This data type is used as a response element in the action DescribeDBEngineVersions.
A list of DBEngineVersion elements.
Contains the result of a successful invocation of the DescribeDBEngineVersions action.
Contains the details of an Amazon RDS DB instance.
This data type is used as a response element in the operations CreateDBInstance, CreateDBInstanceReadReplica, DeleteDBInstance, DescribeDBInstances, ModifyDBInstance, PromoteReadReplica, RebootDBInstance, RestoreDBInstanceFromDBSnapshot, RestoreDBInstanceFromS3, RestoreDBInstanceToPointInTime, StartDBInstance, and StopDBInstance.
The user already has a DB instance with the given identifier.
', 'refs' => [], ], 'DBInstanceAutomatedBackup' => [ 'base' => 'An automated backup of a DB instance. It consists of system backups, transaction logs, and the database instance properties that existed at the time you deleted the source instance.
', 'refs' => [ 'DBInstanceAutomatedBackupList$member' => NULL, 'DeleteDBInstanceAutomatedBackupResult$DBInstanceAutomatedBackup' => NULL, 'StartDBInstanceAutomatedBackupsReplicationResult$DBInstanceAutomatedBackup' => NULL, 'StopDBInstanceAutomatedBackupsReplicationResult$DBInstanceAutomatedBackup' => NULL, ], ], 'DBInstanceAutomatedBackupList' => [ 'base' => NULL, 'refs' => [ 'DBInstanceAutomatedBackupMessage$DBInstanceAutomatedBackups' => 'A list of DBInstanceAutomatedBackup instances.
Contains the result of a successful invocation of the DescribeDBInstanceAutomatedBackups action.
No automated backup for this DB instance was found.
', 'refs' => [], ], 'DBInstanceAutomatedBackupQuotaExceededFault' => [ 'base' => 'The quota for retained automated backups was exceeded. This prevents you from retaining any additional automated backups. The retained automated backups quota is the same as your DB instance quota.
', 'refs' => [], ], 'DBInstanceAutomatedBackupsReplication' => [ 'base' => 'Automated backups of a DB instance replicated to another Amazon Web Services Region. They consist of system backups, transaction logs, and database instance properties.
', 'refs' => [ 'DBInstanceAutomatedBackupsReplicationList$member' => NULL, ], ], 'DBInstanceAutomatedBackupsReplicationList' => [ 'base' => NULL, 'refs' => [ 'DBInstance$DBInstanceAutomatedBackupsReplications' => 'The list of replicated automated backups associated with the DB instance.
', 'DBInstanceAutomatedBackup$DBInstanceAutomatedBackupsReplications' => 'The list of replications to different Amazon Web Services Regions associated with the automated backup.
', ], ], 'DBInstanceList' => [ 'base' => NULL, 'refs' => [ 'DBInstanceMessage$DBInstances' => 'A list of DBInstance instances.
Contains the result of a successful invocation of the DescribeDBInstances action.
DBInstanceIdentifier doesn\'t refer to an existing DB instance.
An attempt to download or examine log files didn\'t succeed because an Aurora Serverless v2 instance was paused.
', 'refs' => [], ], 'DBInstanceRole' => [ 'base' => 'Information about an Amazon Web Services Identity and Access Management (IAM) role that is associated with a DB instance.
', 'refs' => [ 'DBInstanceRoles$member' => NULL, ], ], 'DBInstanceRoleAlreadyExistsFault' => [ 'base' => 'The specified RoleArn or FeatureName value is already associated with the DB instance.
The specified RoleArn value doesn\'t match the specified feature for the DB instance.
You can\'t associate any more Amazon Web Services Identity and Access Management (IAM) roles with the DB instance because the quota has been reached.
', 'refs' => [], ], 'DBInstanceRoles' => [ 'base' => NULL, 'refs' => [ 'DBInstance$AssociatedRoles' => 'The Amazon Web Services Identity and Access Management (IAM) roles associated with the DB instance.
', ], ], 'DBInstanceStatusInfo' => [ 'base' => 'Provides a list of status information for a DB instance.
', 'refs' => [ 'DBInstanceStatusInfoList$member' => NULL, ], ], 'DBInstanceStatusInfoList' => [ 'base' => NULL, 'refs' => [ 'DBInstance$StatusInfos' => 'The status of a read replica. If the DB instance isn\'t a read replica, the value is blank.
', ], ], 'DBLogFileNotFoundFault' => [ 'base' => ' LogFileName doesn\'t refer to an existing DB log file.
Contains the details of an Amazon RDS DB parameter group.
This data type is used as a response element in the DescribeDBParameterGroups action.
A DB parameter group with the same name exists.
', 'refs' => [], ], 'DBParameterGroupDetails' => [ 'base' => 'Contains the result of a successful invocation of the DescribeDBParameters action.
A list of DBParameterGroup instances.
Contains the result of a successful invocation of the ModifyDBParameterGroup or ResetDBParameterGroup operation.
DBParameterGroupName doesn\'t refer to an existing DB parameter group.
The request would result in the user exceeding the allowed number of DB parameter groups.
', 'refs' => [], ], 'DBParameterGroupStatus' => [ 'base' => 'The status of the DB parameter group.
This data type is used as a response element in the following actions:
CreateDBInstance
CreateDBInstanceReadReplica
DeleteDBInstance
ModifyDBInstance
RebootDBInstance
RestoreDBInstanceFromDBSnapshot
The list of DB parameter groups applied to this DB instance.
', ], ], 'DBParameterGroupsMessage' => [ 'base' => 'Contains the result of a successful invocation of the DescribeDBParameterGroups action.
The data structure representing a proxy managed by the RDS Proxy.
This data type is used as a response element in the DescribeDBProxies action.
The DBProxy structure corresponding to the new proxy.
The data structure representing the details of the DB proxy that you delete.
', 'ModifyDBProxyResponse$DBProxy' => 'The DBProxy object representing the new settings for the proxy.
The specified proxy name must be unique for all proxies owned by your Amazon Web Services account in the specified Amazon Web Services Region.
', 'refs' => [], ], 'DBProxyEndpoint' => [ 'base' => 'The data structure representing an endpoint associated with a DB proxy. RDS automatically creates one endpoint for each DB proxy. For Aurora DB clusters, you can associate additional endpoints with the same DB proxy. These endpoints can be read/write or read-only. They can also reside in different VPCs than the associated DB proxy.
This data type is used as a response element in the DescribeDBProxyEndpoints operation.
The DBProxyEndpoint object that is created by the API operation. The DB proxy endpoint that you create might provide capabilities such as read/write or read-only operations, or using a different VPC than the proxy\'s default VPC.
The data structure representing the details of the DB proxy endpoint that you delete.
', 'ModifyDBProxyEndpointResponse$DBProxyEndpoint' => 'The DBProxyEndpoint object representing the new settings for the DB proxy endpoint.
The specified DB proxy endpoint name must be unique for all DB proxy endpoints owned by your Amazon Web Services account in the specified Amazon Web Services Region.
', 'refs' => [], ], 'DBProxyEndpointList' => [ 'base' => NULL, 'refs' => [ 'DescribeDBProxyEndpointsResponse$DBProxyEndpoints' => 'The list of ProxyEndpoint objects returned by the API operation.
The name of the DB proxy endpoint to create.
', 'DeleteDBProxyEndpointRequest$DBProxyEndpointName' => 'The name of the DB proxy endpoint to delete.
', 'DescribeDBProxyEndpointsRequest$DBProxyEndpointName' => 'The name of a DB proxy endpoint to describe. If you omit this parameter, the output includes information about all DB proxy endpoints associated with the specified proxy.
', 'ModifyDBProxyEndpointRequest$DBProxyEndpointName' => 'The name of the DB proxy sociated with the DB proxy endpoint that you want to modify.
', 'ModifyDBProxyEndpointRequest$NewDBProxyEndpointName' => 'The new identifier for the DBProxyEndpoint. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens; it can\'t end with a hyphen or contain two consecutive hyphens.
The DB proxy endpoint doesn\'t exist.
', 'refs' => [], ], 'DBProxyEndpointQuotaExceededFault' => [ 'base' => 'The DB proxy already has the maximum number of endpoints.
', 'refs' => [], ], 'DBProxyEndpointStatus' => [ 'base' => NULL, 'refs' => [ 'DBProxyEndpoint$Status' => 'The current status of this DB proxy endpoint. A status of available means the endpoint is ready to handle requests. Other values indicate that you must wait for the endpoint to be ready, or take some action to resolve an issue.
The role of the DB proxy endpoint. The role determines whether the endpoint can be used for read/write or only read operations. The default is READ_WRITE. The only role that proxies for RDS for Microsoft SQL Server support is READ_WRITE.
A value that indicates whether the DB proxy endpoint can be used for read/write or read-only operations.
', ], ], 'DBProxyList' => [ 'base' => NULL, 'refs' => [ 'DescribeDBProxiesResponse$DBProxies' => 'A return value representing an arbitrary number of DBProxy data structures.
The name of the DB proxy associated with the DB proxy endpoint that you create.
', 'DescribeDBProxyEndpointsRequest$DBProxyName' => 'The name of the DB proxy whose endpoints you want to describe. If you omit this parameter, the output includes information about all DB proxy endpoints associated with all your DB proxies.
', ], ], 'DBProxyNotFoundFault' => [ 'base' => 'The specified proxy name doesn\'t correspond to a proxy owned by your Amazon Web Services account in the specified Amazon Web Services Region.
', 'refs' => [], ], 'DBProxyQuotaExceededFault' => [ 'base' => 'Your Amazon Web Services account already has the maximum number of proxies in the specified Amazon Web Services Region.
', 'refs' => [], ], 'DBProxyStatus' => [ 'base' => NULL, 'refs' => [ 'DBProxy$Status' => 'The current status of this proxy. A status of available means the proxy is ready to handle requests. Other values indicate that you must wait for the proxy to be ready, or take some action to resolve an issue.
Contains the details for an RDS Proxy target. It represents an RDS DB instance or Aurora DB cluster that the proxy can connect to. One or more targets are associated with an RDS Proxy target group.
This data type is used as a response element in the DescribeDBProxyTargets action.
The proxy is already associated with the specified RDS DB instance or Aurora DB cluster.
', 'refs' => [], ], 'DBProxyTargetGroup' => [ 'base' => 'Represents a set of RDS DB instances, Aurora DB clusters, or both that a proxy can connect to. Currently, each target group is associated with exactly one RDS DB instance or Aurora DB cluster.
This data type is used as a response element in the DescribeDBProxyTargetGroups action.
The settings of the modified DBProxyTarget.
The specified target group isn\'t available for a proxy owned by your Amazon Web Services account in the specified Amazon Web Services Region.
', 'refs' => [], ], 'DBProxyTargetNotFoundFault' => [ 'base' => 'The specified RDS DB instance or Aurora DB cluster isn\'t available for a proxy owned by your Amazon Web Services account in the specified Amazon Web Services Region.
', 'refs' => [], ], 'DBRecommendation' => [ 'base' => 'The recommendation for your DB instances, DB clusters, and DB parameter groups.
', 'refs' => [ 'DBRecommendationList$member' => NULL, 'DBRecommendationMessage$DBRecommendation' => NULL, ], ], 'DBRecommendationList' => [ 'base' => NULL, 'refs' => [ 'DBRecommendationsMessage$DBRecommendations' => 'A list of recommendations which is returned from DescribeDBRecommendations API request.
Contains the details for an Amazon RDS DB security group.
This data type is used as a response element in the DescribeDBSecurityGroups action.
A DB security group with the name specified in DBSecurityGroupName already exists.
This data type is used as a response element in the following actions:
ModifyDBInstance
RebootDBInstance
RestoreDBInstanceFromDBSnapshot
RestoreDBInstanceToPointInTime
A list of DB security group elements containing DBSecurityGroup.Name and DBSecurityGroup.Status subelements.
If the option requires access to a port, then this DB security group allows access to the port.
', ], ], 'DBSecurityGroupMessage' => [ 'base' => 'Contains the result of a successful invocation of the DescribeDBSecurityGroups action.
A list of DB security groups to associate with this DB instance.
This setting applies to the legacy EC2-Classic platform, which is no longer used to create new DB instances. Use the VpcSecurityGroupIds setting instead.
A list of DB security groups to authorize on this DB instance. Changing this setting doesn\'t result in an outage and the change is asynchronously applied as soon as possible.
This setting doesn\'t apply to RDS Custom DB instances.
Constraints:
If supplied, must match existing DB security groups.
A list of DB security groups used for this option.
', 'RestoreDBInstanceFromS3Message$DBSecurityGroups' => 'A list of DB security groups to associate with this DB instance.
Default: The default DB security group for the database engine.
', ], ], 'DBSecurityGroupNotFoundFault' => [ 'base' => ' DBSecurityGroupName doesn\'t refer to an existing DB security group.
A DB security group isn\'t allowed for this action.
', 'refs' => [], ], 'DBSecurityGroupQuotaExceededFault' => [ 'base' => 'The request would result in the user exceeding the allowed number of DB security groups.
', 'refs' => [], ], 'DBSecurityGroups' => [ 'base' => NULL, 'refs' => [ 'DBSecurityGroupMessage$DBSecurityGroups' => 'A list of DBSecurityGroup instances.
Contains the details for an Amazon RDS DB shard group.
', 'refs' => [ 'DBShardGroupsList$member' => NULL, ], ], 'DBShardGroupAlreadyExistsFault' => [ 'base' => 'The specified DB shard group name must be unique in your Amazon Web Services account in the specified Amazon Web Services Region.
', 'refs' => [], ], 'DBShardGroupIdentifier' => [ 'base' => NULL, 'refs' => [ 'DBShardGroup$DBShardGroupIdentifier' => 'The name of the DB shard group.
', 'DeleteDBShardGroupMessage$DBShardGroupIdentifier' => 'The name of the DB shard group to delete.
', 'DescribeDBShardGroupsMessage$DBShardGroupIdentifier' => 'The user-supplied DB shard group identifier. If this parameter is specified, information for only the specific DB shard group is returned. This parameter isn\'t case-sensitive.
Constraints:
If supplied, must match an existing DB shard group identifier.
The name of the DB shard group to modify.
', 'RebootDBShardGroupMessage$DBShardGroupIdentifier' => 'The name of the DB shard group to reboot.
', ], ], 'DBShardGroupNotFoundFault' => [ 'base' => 'The specified DB shard group name wasn\'t found.
', 'refs' => [], ], 'DBShardGroupsList' => [ 'base' => NULL, 'refs' => [ 'DescribeDBShardGroupsResponse$DBShardGroups' => 'Contains a list of DB shard groups for the user.
', ], ], 'DBSnapshot' => [ 'base' => 'Contains the details of an Amazon RDS DB snapshot.
This data type is used as a response element in the DescribeDBSnapshots action.
DBSnapshotIdentifier is already used by an existing snapshot.
Contains the name and values of a manual DB snapshot attribute
Manual DB snapshot attributes are used to authorize other Amazon Web Services accounts to restore a manual DB snapshot. For more information, see the ModifyDBSnapshotAttribute API.
The list of attributes and values for the manual DB snapshot.
', ], ], 'DBSnapshotAttributesResult' => [ 'base' => 'Contains the results of a successful call to the DescribeDBSnapshotAttributes API action.
Manual DB snapshot attributes are used to authorize other Amazon Web Services accounts to copy or restore a manual DB snapshot. For more information, see the ModifyDBSnapshotAttribute API action.
A list of DBSnapshot instances.
Contains the result of a successful invocation of the DescribeDBSnapshots action.
DBSnapshotIdentifier doesn\'t refer to an existing DB snapshot.
Contains the details of a tenant database in a snapshot of a DB instance.
', 'refs' => [ 'DBSnapshotTenantDatabasesList$member' => NULL, ], ], 'DBSnapshotTenantDatabaseNotFoundFault' => [ 'base' => 'The specified snapshot tenant database wasn\'t found.
', 'refs' => [], ], 'DBSnapshotTenantDatabasesList' => [ 'base' => NULL, 'refs' => [ 'DBSnapshotTenantDatabasesMessage$DBSnapshotTenantDatabases' => 'A list of DB snapshot tenant databases.
', ], ], 'DBSnapshotTenantDatabasesMessage' => [ 'base' => NULL, 'refs' => [], ], 'DBSubnetGroup' => [ 'base' => 'Contains the details of an Amazon RDS DB subnet group.
This data type is used as a response element in the DescribeDBSubnetGroups action.
Information about the subnet group associated with the DB instance, including the name, description, and subnets in the subnet group.
', 'DBSubnetGroups$member' => NULL, 'ModifyDBSubnetGroupResult$DBSubnetGroup' => NULL, ], ], 'DBSubnetGroupAlreadyExistsFault' => [ 'base' => ' DBSubnetGroupName is already used by an existing DB subnet group.
Subnets in the DB subnet group should cover at least two Availability Zones unless there is only one Availability Zone.
', 'refs' => [], ], 'DBSubnetGroupMessage' => [ 'base' => 'Contains the result of a successful invocation of the DescribeDBSubnetGroups action.
The DBSubnetGroup shouldn\'t be specified while creating read replicas that lie in the same region as the source instance.
', 'refs' => [], ], 'DBSubnetGroupNotFoundFault' => [ 'base' => ' DBSubnetGroupName doesn\'t refer to an existing DB subnet group.
The request would result in the user exceeding the allowed number of DB subnet groups.
', 'refs' => [], ], 'DBSubnetGroups' => [ 'base' => NULL, 'refs' => [ 'DBSubnetGroupMessage$DBSubnetGroups' => 'A list of DBSubnetGroup instances.
The request would result in the user exceeding the allowed number of subnets in a DB subnet groups.
', 'refs' => [], ], 'DBUpgradeDependencyFailureFault' => [ 'base' => 'The DB upgrade failed because a resource the DB depends on can\'t be modified.
', 'refs' => [], ], 'DataFilter' => [ 'base' => NULL, 'refs' => [ 'CreateIntegrationMessage$DataFilter' => 'Data filtering options for the integration. For more information, see Data filtering for Aurora zero-ETL integrations with Amazon Redshift.
Valid for: Integrations with Aurora MySQL source DB clusters only
', 'Integration$DataFilter' => 'Data filters for the integration. These filters determine which tables from the source database are sent to the target Amazon Redshift data warehouse.
', 'ModifyIntegrationMessage$DataFilter' => 'A new data filter for the integration. For more information, see Data filtering for Aurora zero-ETL integrations with Amazon Redshift.
', ], ], 'DatabaseArn' => [ 'base' => NULL, 'refs' => [ 'BlueGreenDeployment$Source' => 'The source database for the blue/green deployment.
Before switchover, the source database is the production database in the blue environment.
', 'BlueGreenDeployment$Target' => 'The target database for the blue/green deployment.
Before switchover, the target database is the clone database in the green environment.
', 'CreateBlueGreenDeploymentRequest$Source' => 'The Amazon Resource Name (ARN) of the source production database.
Specify the database that you want to clone. The blue/green deployment creates this database in the green environment. You can make updates to the database in the green environment, such as an engine version upgrade. When you are ready, you can switch the database in the green environment to be the production database.
', 'SwitchoverDetail$SourceMember' => 'The Amazon Resource Name (ARN) of a resource in the blue environment.
', 'SwitchoverDetail$TargetMember' => 'The Amazon Resource Name (ARN) of a resource in the green environment.
', ], ], 'DatabaseInsightsMode' => [ 'base' => NULL, 'refs' => [ 'CreateDBClusterMessage$DatabaseInsightsMode' => 'The mode of Database Insights to enable for the DB cluster.
If you set this value to advanced, you must also set the PerformanceInsightsEnabled parameter to true and the PerformanceInsightsRetentionPeriod parameter to 465.
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBInstanceMessage$DatabaseInsightsMode' => 'The mode of Database Insights to enable for the DB instance.
This setting only applies to Amazon Aurora DB instances.
Currently, this value is inherited from the DB cluster and can\'t be changed.
The mode of Database Insights to enable for the read replica.
Currently, this setting is not supported.
The mode of Database Insights that is enabled for the DB cluster.
', 'DBInstance$DatabaseInsightsMode' => 'The mode of Database Insights that is enabled for the instance.
', 'ModifyDBClusterMessage$DatabaseInsightsMode' => 'Specifies the mode of Database Insights to enable for the DB cluster.
If you change the value from standard to advanced, you must set the PerformanceInsightsEnabled parameter to true and the PerformanceInsightsRetentionPeriod parameter to 465.
If you change the value from advanced to standard, you must set the PerformanceInsightsEnabled parameter to false.
Valid for Cluster Type: Aurora DB clusters only
', 'ModifyDBInstanceMessage$DatabaseInsightsMode' => 'Specifies the mode of Database Insights to enable for the DB instance.
This setting only applies to Amazon Aurora DB instances.
Currently, this value is inherited from the DB cluster and can\'t be changed.
Specifies the mode of Database Insights to enable for the DB instance.
This setting only applies to Amazon Aurora DB instances.
Currently, this value is inherited from the DB cluster and can\'t be changed.
Parameter input for the DeleteDBInstanceAutomatedBackup operation.
Parameter input for DescribeDBInstanceAutomatedBackups.
', 'refs' => [], ], 'DescribeDBInstancesMessage' => [ 'base' => '', 'refs' => [], ], 'DescribeDBLogFilesDetails' => [ 'base' => 'This data type is used as a response element to DescribeDBLogFiles.
The DB log files returned.
', ], ], 'DescribeDBLogFilesMessage' => [ 'base' => '', 'refs' => [], ], 'DescribeDBLogFilesResponse' => [ 'base' => 'The response from a call to DescribeDBLogFiles.
An optional description of your CEV.
', 'ModifyCustomDBEngineVersionMessage$Description' => 'An optional description of your CEV.
', ], ], 'DisableHttpEndpointRequest' => [ 'base' => NULL, 'refs' => [], ], 'DisableHttpEndpointResponse' => [ 'base' => NULL, 'refs' => [], ], 'DocLink' => [ 'base' => 'A link to documentation that provides additional information for a recommendation.
', 'refs' => [ 'DocLinkList$member' => NULL, ], ], 'DocLinkList' => [ 'base' => NULL, 'refs' => [ 'DBRecommendation$Links' => 'A link to documentation that provides additional information about the recommendation.
', ], ], 'DomainMembership' => [ 'base' => 'An Active Directory Domain membership record associated with the DB instance or cluster.
', 'refs' => [ 'DomainMembershipList$member' => NULL, ], ], 'DomainMembershipList' => [ 'base' => NULL, 'refs' => [ 'DBCluster$DomainMemberships' => 'The Active Directory Domain membership records associated with the DB cluster.
', 'DBInstance$DomainMemberships' => 'The Active Directory Domain membership records associated with the DB instance.
', ], ], 'DomainNotFoundFault' => [ 'base' => ' Domain doesn\'t refer to an existing Active Directory domain.
The minimum value in the range.
', 'DoubleRange$To' => 'The maximum value in the range.
', 'RecurringCharge$RecurringChargeAmount' => 'The amount of the recurring charge.
', 'ReservedDBInstance$FixedPrice' => 'The fixed price charged for this reserved DB instance.
', 'ReservedDBInstance$UsagePrice' => 'The hourly price charged for this reserved DB instance.
', 'ReservedDBInstancesOffering$FixedPrice' => 'The fixed price charged for this offering.
', 'ReservedDBInstancesOffering$UsagePrice' => 'The hourly price charged for this offering.
', 'ScalarReferenceDetails$Value' => 'The value of a scalar reference.
', ], ], 'DoubleOptional' => [ 'base' => NULL, 'refs' => [ 'CreateDBShardGroupMessage$MaxACU' => 'The maximum capacity of the DB shard group in Aurora capacity units (ACUs).
', 'CreateDBShardGroupMessage$MinACU' => 'The minimum capacity of the DB shard group in Aurora capacity units (ACUs).
', 'DBShardGroup$MaxACU' => 'The maximum capacity of the DB shard group in Aurora capacity units (ACUs).
', 'DBShardGroup$MinACU' => 'The minimum capacity of the DB shard group in Aurora capacity units (ACUs).
', 'LimitlessDatabase$MinRequiredACU' => 'The minimum required capacity for Aurora Limitless Database in Aurora capacity units (ACUs).
', 'ModifyDBShardGroupMessage$MaxACU' => 'The maximum capacity of the DB shard group in Aurora capacity units (ACUs).
', 'ModifyDBShardGroupMessage$MinACU' => 'The minimum capacity of the DB shard group in Aurora capacity units (ACUs).
', 'OrderableDBInstanceOption$MinIopsPerGib' => 'Minimum provisioned IOPS per GiB for a DB instance.
', 'OrderableDBInstanceOption$MaxIopsPerGib' => 'Maximum provisioned IOPS per GiB for a DB instance.
', 'OrderableDBInstanceOption$MinStorageThroughputPerIops' => 'Minimum storage throughput to provisioned IOPS ratio for a DB instance.
', 'OrderableDBInstanceOption$MaxStorageThroughputPerIops' => 'Maximum storage throughput to provisioned IOPS ratio for a DB instance.
', 'ServerlessV2FeaturesSupport$MinCapacity' => 'If the minimum capacity is 0 ACUs, the engine version supports the automatic pause/resume feature of Aurora Serverless v2.
', 'ServerlessV2FeaturesSupport$MaxCapacity' => ' Specifies the upper Aurora Serverless v2 capacity limit for a particular engine version. Depending on the engine version, the maximum capacity for an Aurora Serverless v2 cluster might be 256 or 128.
The minimum number of Aurora capacity units (ACUs) for a DB instance in an Aurora Serverless v2 cluster. You can specify ACU values in half-step increments, such as 8, 8.5, 9, and so on. For Aurora versions that support the Aurora Serverless v2 auto-pause feature, the smallest value that you can use is 0. For versions that don\'t support Aurora Serverless v2 auto-pause, the smallest value that you can use is 0.5.
', 'ServerlessV2ScalingConfiguration$MaxCapacity' => 'The maximum number of Aurora capacity units (ACUs) for a DB instance in an Aurora Serverless v2 cluster. You can specify ACU values in half-step increments, such as 32, 32.5, 33, and so on. The largest value that you can use is 256 for recent Aurora versions, or 128 for older versions.
', 'ServerlessV2ScalingConfigurationInfo$MinCapacity' => 'The minimum number of Aurora capacity units (ACUs) for a DB instance in an Aurora Serverless v2 cluster. You can specify ACU values in half-step increments, such as 8, 8.5, 9, and so on. For Aurora versions that support the Aurora Serverless v2 auto-pause feature, the smallest value that you can use is 0. For versions that don\'t support Aurora Serverless v2 auto-pause, the smallest value that you can use is 0.5.
', 'ServerlessV2ScalingConfigurationInfo$MaxCapacity' => 'The maximum number of Aurora capacity units (ACUs) for a DB instance in an Aurora Serverless v2 cluster. You can specify ACU values in half-step increments, such as 32, 32.5, 33, and so on. The largest value that you can use is 256 for recent Aurora versions, or 128 for older versions.
', ], ], 'DoubleRange' => [ 'base' => 'A range of double values.
', 'refs' => [ 'DoubleRangeList$member' => NULL, ], ], 'DoubleRangeList' => [ 'base' => NULL, 'refs' => [ 'ValidStorageOptions$IopsToStorageRatio' => 'The valid range of Provisioned IOPS to gibibytes of storage multiplier. For example, 3-10, which means that provisioned IOPS can be between 3 and 10 times storage.
', 'ValidStorageOptions$StorageThroughputToIopsRatio' => 'The valid range of storage throughput to provisioned IOPS ratios. For example, 0-0.25.
', ], ], 'DownloadDBLogFilePortionDetails' => [ 'base' => 'This data type is used as a response element to DownloadDBLogFilePortion.
This data type is used as a response element in the following actions:
AuthorizeDBSecurityGroupIngress
DescribeDBSecurityGroups
RevokeDBSecurityGroupIngress
Contains a list of EC2SecurityGroup elements.
The AMI configuration prerequisite has not been met.
', 'refs' => [], ], 'EnableHttpEndpointRequest' => [ 'base' => NULL, 'refs' => [], ], 'EnableHttpEndpointResponse' => [ 'base' => NULL, 'refs' => [], ], 'EncryptionContextMap' => [ 'base' => NULL, 'refs' => [ 'CreateIntegrationMessage$AdditionalEncryptionContext' => 'An optional set of non-secret key–value pairs that contains additional contextual information about the data. For more information, see Encryption context in the Amazon Web Services Key Management Service Developer Guide.
You can only include this parameter if you specify the KMSKeyId parameter.
The encryption context for the integration. For more information, see Encryption context in the Amazon Web Services Key Management Service Developer Guide.
', ], ], 'Endpoint' => [ 'base' => 'This data type represents the information you need to connect to an Amazon RDS DB instance. This data type is used as a response element in the following actions:
CreateDBInstance
DescribeDBInstances
DeleteDBInstance
For the data structure that represents Amazon Aurora DB cluster endpoints, see DBClusterEndpoint.
The connection endpoint for the DB instance.
The endpoint might not be shown for instances with the status of creating.
The listener connection endpoint for SQL Server Always On.
', ], ], 'EngineDefaults' => [ 'base' => 'Contains the result of a successful invocation of the DescribeEngineDefaultParameters action.
The kinds of databases that the proxy can connect to. This value determines which database network protocol the proxy recognizes when it interprets network traffic to and from the database. For Aurora MySQL, RDS for MariaDB, and RDS for MySQL databases, specify MYSQL. For Aurora PostgreSQL and RDS for PostgreSQL databases, specify POSTGRESQL. For RDS for Microsoft SQL Server, specify SQLSERVER.
A list of the supported DB engine modes.
', 'OrderableDBInstanceOption$SupportedEngineModes' => 'A list of the supported DB engine modes.
', 'Parameter$SupportedEngineModes' => 'The valid DB engine modes.
', 'UpgradeTarget$SupportedEngineModes' => 'A list of the supported DB engine modes for the target engine version.
', ], ], 'Event' => [ 'base' => 'This data type is used as a response element in the DescribeEvents action.
', 'refs' => [ 'EventList$member' => NULL, ], ], 'EventCategoriesList' => [ 'base' => NULL, 'refs' => [ 'CreateEventSubscriptionMessage$EventCategories' => 'A list of event categories for a particular source type (SourceType) that you want to subscribe to. You can see a list of the categories for a given source type in the "Amazon RDS event categories and event messages" section of the Amazon RDS User Guide or the Amazon Aurora User Guide . You can also see this list by using the DescribeEventCategories operation.
A list of event categories that trigger notifications for a event notification subscription.
', 'Event$EventCategories' => 'Specifies the category for the event.
', 'EventCategoriesMap$EventCategories' => 'The event categories for the specified source type
', 'EventSubscription$EventCategoriesList' => 'A list of event categories for the RDS event notification subscription.
', 'ModifyEventSubscriptionMessage$EventCategories' => 'A list of event categories for a source type (SourceType) that you want to subscribe to. You can see a list of the categories for a given source type in Events in the Amazon RDS User Guide or by using the DescribeEventCategories operation.
Contains the results of a successful invocation of the DescribeEventCategories operation.
', 'refs' => [ 'EventCategoriesMapList$member' => NULL, ], ], 'EventCategoriesMapList' => [ 'base' => NULL, 'refs' => [ 'EventCategoriesMessage$EventCategoriesMapList' => 'A list of EventCategoriesMap data types.
Data returned from the DescribeEventCategories operation.
A list of Event instances.
Contains the results of a successful invocation of the DescribeEventSubscriptions action.
You have reached the maximum number of event subscriptions.
', 'refs' => [], ], 'EventSubscriptionsList' => [ 'base' => NULL, 'refs' => [ 'EventSubscriptionsMessage$EventSubscriptionsList' => 'A list of EventSubscriptions data types.
', ], ], 'EventSubscriptionsMessage' => [ 'base' => 'Data returned by the DescribeEventSubscriptions action.
', 'refs' => [], ], 'EventsMessage' => [ 'base' => 'Contains the result of a successful invocation of the DescribeEvents action.
The type of source for the export.
', 'ExportTask$SourceType' => 'The type of source for the export.
', ], ], 'ExportTask' => [ 'base' => 'Contains the details of a snapshot or cluster export to Amazon S3.
This data type is used as a response element in the DescribeExportTasks operation.
You can\'t start an export task that\'s already running.
', 'refs' => [], ], 'ExportTaskNotFoundFault' => [ 'base' => 'The export task doesn\'t exist.
', 'refs' => [], ], 'ExportTasksList' => [ 'base' => NULL, 'refs' => [ 'ExportTasksMessage$ExportTasks' => 'Information about an export of a snapshot or cluster to Amazon S3.
', ], ], 'ExportTasksMessage' => [ 'base' => NULL, 'refs' => [], ], 'FailoverDBClusterMessage' => [ 'base' => '', 'refs' => [], ], 'FailoverDBClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'FailoverGlobalClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'FailoverGlobalClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'FailoverState' => [ 'base' => 'Contains the state of scheduled or in-process operations on a global cluster (Aurora global database). This data type is empty unless a switchover or failover operation is scheduled or is in progress on the Aurora global database.
', 'refs' => [ 'GlobalCluster$FailoverState' => 'A data object containing all properties for the current state of an in-process or pending switchover or failover process for this global cluster (Aurora global database). This object is empty unless the SwitchoverGlobalCluster or FailoverGlobalCluster operation was called on this global cluster.
The current status of the global cluster. Possible values are as follows:
pending – The service received a request to switch over or fail over the global cluster. The global cluster\'s primary DB cluster and the specified secondary DB cluster are being verified before the operation starts.
failing-over – Aurora is promoting the chosen secondary Aurora DB cluster to become the new primary DB cluster to fail over the global cluster.
cancelling – The request to switch over or fail over the global cluster was cancelled and the primary Aurora DB cluster and the selected secondary Aurora DB cluster are returning to their previous states.
switching-over – This status covers the range of Aurora internal operations that take place during the switchover process, such as demoting the primary Aurora DB cluster, promoting the secondary Aurora DB cluster, and synchronizing replicas.
A list of features supported by the DB engine.
The supported features vary by DB engine and DB engine version.
To determine the supported features for a specific DB engine and DB engine version using the CLI, use the following command:
aws rds describe-db-engine-versions --engine <engine_name> --engine-version <engine_version>
For example, to determine the supported features for RDS for PostgreSQL version 13.3 using the CLI, use the following command:
aws rds describe-db-engine-versions --engine postgres --engine-version 13.3
The supported features are listed under SupportedFeatureNames in the output.
A filter name and value pair that is used to return a more specific list of results from a describe operation. Filters can be used to match a set of resources by specific criteria, such as IDs. The filters supported by a describe operation are documented with the describe operation.
Currently, wildcards are not supported in filters.
The following actions can be filtered:
DescribeDBClusterBacktracks
DescribeDBClusterEndpoints
DescribeDBClusters
DescribeDBInstances
DescribeDBRecommendations
DescribeDBShardGroups
DescribePendingMaintenanceActions
A filter that specifies one or more blue/green deployments to describe.
Valid Values:
blue-green-deployment-identifier - Accepts system-generated identifiers for blue/green deployments. The results list only includes information about the blue/green deployments with the specified identifiers.
blue-green-deployment-name - Accepts user-supplied names for blue/green deployments. The results list only includes information about the blue/green deployments with the specified names.
source - Accepts source databases for a blue/green deployment. The results list only includes information about the blue/green deployments with the specified source databases.
target - Accepts target databases for a blue/green deployment. The results list only includes information about the blue/green deployments with the specified target databases.
This parameter isn\'t currently supported.
', 'DescribeDBClusterAutomatedBackupsMessage$Filters' => 'A filter that specifies which resources to return based on status.
Supported filters are the following:
status
retained - Automated backups for deleted clusters and after backup replication is stopped.
db-cluster-id - Accepts DB cluster identifiers and Amazon Resource Names (ARNs). The results list includes only information about the DB cluster automated backups identified by these ARNs.
db-cluster-resource-id - Accepts DB resource identifiers and Amazon Resource Names (ARNs). The results list includes only information about the DB cluster resources identified by these ARNs.
Returns all resources by default. The status for each resource is specified in the response.
', 'DescribeDBClusterBacktracksMessage$Filters' => 'A filter that specifies one or more DB clusters to describe. Supported filters include the following:
db-cluster-backtrack-id - Accepts backtrack identifiers. The results list includes information about only the backtracks identified by these identifiers.
db-cluster-backtrack-status - Accepts any of the following backtrack status values:
applying
completed
failed
pending
The results list includes information about only the backtracks identified by these values.
A set of name-value pairs that define which endpoints to include in the output. The filters are specified as name-value pairs, in the format Name=endpoint_type,Values=endpoint_type1,endpoint_type2,.... Name can be one of: db-cluster-endpoint-type, db-cluster-endpoint-custom-type, db-cluster-endpoint-id, db-cluster-endpoint-status. Values for the db-cluster-endpoint-type filter can be one or more of: reader, writer, custom. Values for the db-cluster-endpoint-custom-type filter can be one or more of: reader, any. Values for the db-cluster-endpoint-status filter can be one or more of: available, creating, deleting, inactive, modifying.
This parameter isn\'t currently supported.
', 'DescribeDBClusterParametersMessage$Filters' => 'A filter that specifies one or more DB cluster parameters to describe.
The only supported filter is parameter-name. The results list only includes information about the DB cluster parameters with these names.
A filter that specifies one or more DB cluster snapshots to describe.
Supported filters:
db-cluster-id - Accepts DB cluster identifiers and DB cluster Amazon Resource Names (ARNs).
db-cluster-snapshot-id - Accepts DB cluster snapshot identifiers.
snapshot-type - Accepts types of DB cluster snapshots.
engine - Accepts names of database engines.
A filter that specifies one or more DB clusters to describe.
Supported Filters:
clone-group-id - Accepts clone group identifiers. The results list only includes information about the DB clusters associated with these clone groups.
db-cluster-id - Accepts DB cluster identifiers and DB cluster Amazon Resource Names (ARNs). The results list only includes information about the DB clusters identified by these ARNs.
db-cluster-resource-id - Accepts DB cluster resource identifiers. The results list will only include information about the DB clusters identified by these DB cluster resource identifiers.
domain - Accepts Active Directory directory IDs. The results list only includes information about the DB clusters associated with these domains.
engine - Accepts engine names. The results list only includes information about the DB clusters for these engines.
A filter that specifies one or more DB engine versions to describe.
Supported filters:
db-parameter-group-family - Accepts parameter groups family names. The results list only includes information about the DB engine versions for these parameter group families.
engine - Accepts engine names. The results list only includes information about the DB engine versions for these engines.
engine-mode - Accepts DB engine modes. The results list only includes information about the DB engine versions for these engine modes. Valid DB engine modes are the following:
global
multimaster
parallelquery
provisioned
serverless
engine-version - Accepts engine versions. The results list only includes information about the DB engine versions for these engine versions.
status - Accepts engine version statuses. The results list only includes information about the DB engine versions for these statuses. Valid statuses are the following:
available
deprecated
A filter that specifies which resources to return based on status.
Supported filters are the following:
status
active - Automated backups for current instances.
creating - Automated backups that are waiting for the first automated snapshot to be available.
retained - Automated backups for deleted instances and after backup replication is stopped.
db-instance-id - Accepts DB instance identifiers and Amazon Resource Names (ARNs). The results list includes only information about the DB instance automated backups identified by these ARNs.
dbi-resource-id - Accepts DB resource identifiers and Amazon Resource Names (ARNs). The results list includes only information about the DB instance resources identified by these ARNs.
Returns all resources by default. The status for each resource is specified in the response.
', 'DescribeDBInstancesMessage$Filters' => 'A filter that specifies one or more DB instances to describe.
Supported Filters:
db-cluster-id - Accepts DB cluster identifiers and DB cluster Amazon Resource Names (ARNs). The results list only includes information about the DB instances associated with the DB clusters identified by these ARNs.
db-instance-id - Accepts DB instance identifiers and DB instance Amazon Resource Names (ARNs). The results list only includes information about the DB instances identified by these ARNs.
dbi-resource-id - Accepts DB instance resource identifiers. The results list only includes information about the DB instances identified by these DB instance resource identifiers.
domain - Accepts Active Directory directory IDs. The results list only includes information about the DB instances associated with these domains.
engine - Accepts engine names. The results list only includes information about the DB instances for these engines.
This parameter isn\'t currently supported.
', 'DescribeDBParameterGroupsMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribeDBParametersMessage$Filters' => 'A filter that specifies one or more DB parameters to describe.
The only supported filter is parameter-name. The results list only includes information about the DB parameters with these names.
This parameter is not currently supported.
', 'DescribeDBProxyEndpointsRequest$Filters' => 'This parameter is not currently supported.
', 'DescribeDBProxyTargetGroupsRequest$Filters' => 'This parameter is not currently supported.
', 'DescribeDBProxyTargetsRequest$Filters' => 'This parameter is not currently supported.
', 'DescribeDBRecommendationsMessage$Filters' => 'A filter that specifies one or more recommendations to describe.
Supported Filters:
recommendation-id - Accepts a list of recommendation identifiers. The results list only includes the recommendations whose identifier is one of the specified filter values.
status - Accepts a list of recommendation statuses.
Valid values:
active - The recommendations which are ready for you to apply.
pending - The applied or scheduled recommendations which are in progress.
resolved - The recommendations which are completed.
dismissed - The recommendations that you dismissed.
The results list only includes the recommendations whose status is one of the specified filter values.
severity - Accepts a list of recommendation severities. The results list only includes the recommendations whose severity is one of the specified filter values.
Valid values:
high
medium
low
informational
type-id - Accepts a list of recommendation type identifiers. The results list only includes the recommendations whose type is one of the specified filter values.
dbi-resource-id - Accepts a list of database resource identifiers. The results list only includes the recommendations that generated for the specified databases.
cluster-resource-id - Accepts a list of cluster resource identifiers. The results list only includes the recommendations that generated for the specified clusters.
pg-arn - Accepts a list of parameter group ARNs. The results list only includes the recommendations that generated for the specified parameter groups.
cluster-pg-arn - Accepts a list of cluster parameter group ARNs. The results list only includes the recommendations that generated for the specified cluster parameter groups.
This parameter isn\'t currently supported.
', 'DescribeDBShardGroupsMessage$Filters' => 'A filter that specifies one or more DB shard groups to describe.
', 'DescribeDBSnapshotTenantDatabasesMessage$Filters' => 'A filter that specifies one or more tenant databases to describe.
Supported filters:
tenant-db-name - Tenant database names. The results list only includes information about the tenant databases that match these tenant DB names.
tenant-database-resource-id - Tenant database resource identifiers. The results list only includes information about the tenant databases contained within the DB snapshots.
dbi-resource-id - DB instance resource identifiers. The results list only includes information about snapshots containing tenant databases contained within the DB instances identified by these resource identifiers.
db-instance-id - Accepts DB instance identifiers and DB instance Amazon Resource Names (ARNs).
db-snapshot-id - Accepts DB snapshot identifiers.
snapshot-type - Accepts types of DB snapshots.
A filter that specifies one or more DB snapshots to describe.
Supported filters:
db-instance-id - Accepts DB instance identifiers and DB instance Amazon Resource Names (ARNs).
db-snapshot-id - Accepts DB snapshot identifiers.
dbi-resource-id - Accepts identifiers of source DB instances.
snapshot-type - Accepts types of DB snapshots.
engine - Accepts names of database engines.
This parameter isn\'t currently supported.
', 'DescribeEngineDefaultClusterParametersMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribeEngineDefaultParametersMessage$Filters' => 'A filter that specifies one or more parameters to describe.
The only supported filter is parameter-name. The results list only includes information about the parameters with these names.
This parameter isn\'t currently supported.
', 'DescribeEventSubscriptionsMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribeEventsMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribeExportTasksMessage$Filters' => 'Filters specify one or more snapshot or cluster exports to describe. The filters are specified as name-value pairs that define what to include in the output. Filter names and values are case-sensitive.
Supported filters include the following:
export-task-identifier - An identifier for the snapshot or cluster export task.
s3-bucket - The Amazon S3 bucket the data is exported to.
source-arn - The Amazon Resource Name (ARN) of the snapshot or cluster exported to Amazon S3.
status - The status of the export task. Must be lowercase. Valid statuses are the following:
canceled
canceling
complete
failed
in_progress
starting
A filter that specifies one or more global database clusters to describe. This parameter is case-sensitive.
Currently, the only supported filter is region.
If used, the request returns information about any global cluster with at least one member (primary or secondary) in the specified Amazon Web Services Regions.
', 'DescribeIntegrationsMessage$Filters' => 'A filter that specifies one or more resources to return.
', 'DescribeOptionGroupOptionsMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribeOptionGroupsMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribeOrderableDBInstanceOptionsMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribePendingMaintenanceActionsMessage$Filters' => 'A filter that specifies one or more resources to return pending maintenance actions for.
Supported filters:
db-cluster-id - Accepts DB cluster identifiers and DB cluster Amazon Resource Names (ARNs). The results list only includes pending maintenance actions for the DB clusters identified by these ARNs.
db-instance-id - Accepts DB instance identifiers and DB instance ARNs. The results list only includes pending maintenance actions for the DB instances identified by these ARNs.
This parameter isn\'t currently supported.
', 'DescribeReservedDBInstancesOfferingsMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribeSourceRegionsMessage$Filters' => 'This parameter isn\'t currently supported.
', 'DescribeTenantDatabasesMessage$Filters' => 'A filter that specifies one or more database tenants to describe.
Supported filters:
tenant-db-name - Tenant database names. The results list only includes information about the tenant databases that match these tenant DB names.
tenant-database-resource-id - Tenant database resource identifiers.
dbi-resource-id - DB instance resource identifiers. The results list only includes information about the tenants contained within the DB instances identified by these resource identifiers.
This parameter isn\'t currently supported.
', ], ], 'FilterValueList' => [ 'base' => NULL, 'refs' => [ 'Filter$Values' => 'One or more filter values. Filter values are case-sensitive.
', ], ], 'GlobalCluster' => [ 'base' => 'A data type representing an Aurora global database.
', 'refs' => [ 'CreateGlobalClusterResult$GlobalCluster' => NULL, 'DeleteGlobalClusterResult$GlobalCluster' => NULL, 'FailoverGlobalClusterResult$GlobalCluster' => NULL, 'GlobalClusterList$member' => NULL, 'ModifyGlobalClusterResult$GlobalCluster' => NULL, 'RemoveFromGlobalClusterResult$GlobalCluster' => NULL, 'SwitchoverGlobalClusterResult$GlobalCluster' => NULL, ], ], 'GlobalClusterAlreadyExistsFault' => [ 'base' => 'The GlobalClusterIdentifier already exists. Specify a new global database identifier (unique name) to create a new global database cluster or to rename an existing one.
The identifier of the global database cluster (Aurora global database) this operation should apply to. The identifier is the unique key assigned by the user when the Aurora global database is created. In other words, it\'s the name of the Aurora global database.
Constraints:
Must match the identifier of an existing global database cluster.
The identifier of the global database cluster to switch over. This parameter isn\'t case-sensitive.
Constraints:
Must match the identifier of an existing global database cluster (Aurora global database).
The list of global clusters returned by this request.
', ], ], 'GlobalClusterMember' => [ 'base' => 'A data structure with information about any primary and secondary clusters associated with a global cluster (Aurora global database).
', 'refs' => [ 'GlobalClusterMemberList$member' => NULL, ], ], 'GlobalClusterMemberList' => [ 'base' => NULL, 'refs' => [ 'GlobalCluster$GlobalClusterMembers' => 'The list of primary and secondary clusters within the global database cluster.
', ], ], 'GlobalClusterMemberSynchronizationStatus' => [ 'base' => NULL, 'refs' => [ 'GlobalClusterMember$SynchronizationStatus' => 'The status of synchronization of each Aurora DB cluster in the global cluster.
', ], ], 'GlobalClusterNotFoundFault' => [ 'base' => 'The GlobalClusterIdentifier doesn\'t refer to an existing global database cluster.
The number of global database clusters for this account is already at the maximum allowed.
', 'refs' => [], ], 'GlobalClustersMessage' => [ 'base' => NULL, 'refs' => [], ], 'IAMAuthMode' => [ 'base' => NULL, 'refs' => [ 'UserAuthConfig$IAMAuth' => 'A value that indicates whether to require or disallow Amazon Web Services Identity and Access Management (IAM) authentication for connections to the proxy. The ENABLED value is valid only for proxies with RDS for Microsoft SQL Server.
Whether to require or disallow Amazon Web Services Identity and Access Management (IAM) authentication for connections to the proxy. The ENABLED value is valid only for proxies with RDS for Microsoft SQL Server.
This data type is used as a response element in the DescribeDBSecurityGroups action.
Contains a list of IPRange elements.
The IAM role requires additional permissions to export to an Amazon S3 bucket.
', 'refs' => [], ], 'IamRoleNotFoundFault' => [ 'base' => 'The IAM role is missing for exporting to an Amazon S3 bucket.
', 'refs' => [], ], 'InstanceQuotaExceededFault' => [ 'base' => 'The request would result in the user exceeding the allowed number of DB instances.
', 'refs' => [], ], 'InsufficientAvailableIPsInSubnetFault' => [ 'base' => 'The requested operation can\'t be performed because there aren\'t enough available IP addresses in the proxy\'s subnets. Add more CIDR blocks to the VPC or remove IP address that aren\'t required from the subnets.
', 'refs' => [], ], 'InsufficientDBClusterCapacityFault' => [ 'base' => 'The DB cluster doesn\'t have enough capacity for the current operation.
', 'refs' => [], ], 'InsufficientDBInstanceCapacityFault' => [ 'base' => 'The specified DB instance class isn\'t available in the specified Availability Zone.
', 'refs' => [], ], 'InsufficientStorageClusterCapacityFault' => [ 'base' => 'There is insufficient storage available for the current action. You might be able to resolve this error by updating your subnet group to use different Availability Zones that have more storage available.
', 'refs' => [], ], 'Integer' => [ 'base' => NULL, 'refs' => [ 'ConnectionPoolConfigurationInfo$MaxConnectionsPercent' => 'The maximum size of the connection pool for each target in a target group. The value is expressed as a percentage of the max_connections setting for the RDS DB instance or Aurora DB cluster used by the target group.
Controls how actively the proxy closes idle database connections in the connection pool. The value is expressed as a percentage of the max_connections setting for the RDS DB instance or Aurora DB cluster used by the target group. With a high value, the proxy leaves a high percentage of idle database connections open. A low value causes the proxy to close more idle connections and return them to the database.
The number of seconds for a proxy to wait for a connection to become available in the connection pool. Only applies when the proxy has opened its maximum number of connections and all connections are busy with client sessions.
', 'DBClusterAutomatedBackup$AllocatedStorage' => 'For all database engines except Amazon Aurora, AllocatedStorage specifies the allocated storage size in gibibytes (GiB). For Aurora, AllocatedStorage always returns 1, because Aurora DB cluster storage size isn\'t fixed, but instead automatically adjusts as needed.
The port number that the automated backup used for connections.
Default: Inherits from the source DB cluster
Valid Values: 1150-65535
The allocated storage size of the DB cluster snapshot in gibibytes (GiB).
', 'DBClusterSnapshot$Port' => 'The port that the DB cluster was listening on at the time of the snapshot.
', 'DBClusterSnapshot$PercentProgress' => 'The percentage of the estimated data that has been transferred.
', 'DBInstance$AllocatedStorage' => 'The amount of storage in gibibytes (GiB) allocated for the DB instance.
', 'DBInstance$BackupRetentionPeriod' => 'The number of days for which automatic DB snapshots are retained.
', 'DBInstance$DbInstancePort' => 'The port that the DB instance listens on. If the DB instance is part of a DB cluster, this can be a different port than the DB cluster port.
', 'DBInstanceAutomatedBackup$AllocatedStorage' => 'The allocated storage size for the the automated backup in gibibytes (GiB).
', 'DBInstanceAutomatedBackup$Port' => 'The port number that the automated backup used for connections.
Default: Inherits from the source DB instance
Valid Values: 1150-65535
The number of seconds a connection to the proxy can have no activity before the proxy drops the client connection. The proxy keeps the underlying database connection open and puts it back into the connection pool for reuse by later connection requests.
Default: 1800 (30 minutes)
Constraints: 1 to 28,800
', 'DBProxyTarget$Port' => 'The port that the RDS Proxy uses to connect to the target RDS DB instance or Aurora DB cluster.
', 'DBSnapshot$AllocatedStorage' => 'Specifies the allocated storage size in gibibytes (GiB).
', 'DBSnapshot$Port' => 'Specifies the port that the database engine was listening on at the time of the snapshot.
', 'DBSnapshot$PercentProgress' => 'The percentage of the estimated data that has been transferred.
', 'DownloadDBLogFilePortionMessage$NumberOfLines' => 'The number of lines to download. If the number of lines specified results in a file over 1 MB in size, the file is truncated at 1 MB in size.
If the NumberOfLines parameter is specified, then the block of lines returned can be from the beginning or the end of the log file, depending on the value of the Marker parameter.
If neither Marker or NumberOfLines are specified, the entire log file is returned up to a maximum of 10000 lines, starting with the most recent log entries first.
If NumberOfLines is specified and Marker isn\'t specified, then the most recent lines from the end of the log file are returned.
If Marker is specified as "0", then the specified number of lines from the beginning of the log file are returned.
You can download the log file in blocks of lines by specifying the size of the block using the NumberOfLines parameter, and by specifying a value of "0" for the Marker parameter in your first request. Include the Marker value returned in the response as the Marker value for the next request, continuing until the AdditionalDataPending response element returns false.
Specifies the port that the database engine is listening on.
', 'ExportTask$PercentProgress' => 'The progress of the snapshot or cluster export task as a percentage.
', 'ExportTask$TotalExtractedDataInGB' => 'The total amount of data exported, in gigabytes.
', 'PerformanceInsightsMetricDimensionGroup$Limit' => 'The maximum number of items to fetch for this dimension group.
', 'Range$From' => 'The minimum value in the range.
', 'Range$To' => 'The maximum value in the range.
', 'ReservedDBInstance$Duration' => 'The duration of the reservation in seconds.
', 'ReservedDBInstance$DBInstanceCount' => 'The number of reserved DB instances.
', 'ReservedDBInstancesOffering$Duration' => 'The duration of the offering in seconds.
', ], ], 'IntegerOptional' => [ 'base' => NULL, 'refs' => [ 'ClusterPendingModifiedValues$BackupRetentionPeriod' => 'The number of days for which automatic DB snapshots are retained.
', 'ClusterPendingModifiedValues$AllocatedStorage' => 'The allocated storage size in gibibytes (GiB) for all database engines except Amazon Aurora. For Aurora, AllocatedStorage always returns 1, because Aurora DB cluster storage size isn\'t fixed, but instead automatically adjusts as needed.
The Provisioned IOPS (I/O operations per second) value. This setting is only for non-Aurora Multi-AZ DB clusters.
', 'ConnectionPoolConfiguration$MaxConnectionsPercent' => 'The maximum size of the connection pool for each target in a target group. The value is expressed as a percentage of the max_connections setting for the RDS DB instance or Aurora DB cluster used by the target group.
If you specify MaxIdleConnectionsPercent, then you must also include a value for this parameter.
Default: 10 for RDS for Microsoft SQL Server, and 100 for all other engines
Constraints:
Must be between 1 and 100.
A value that controls how actively the proxy closes idle database connections in the connection pool. The value is expressed as a percentage of the max_connections setting for the RDS DB instance or Aurora DB cluster used by the target group. With a high value, the proxy leaves a high percentage of idle database connections open. A low value causes the proxy to close more idle connections and return them to the database.
If you specify this parameter, then you must also include a value for MaxConnectionsPercent.
Default: The default value is half of the value of MaxConnectionsPercent. For example, if MaxConnectionsPercent is 80, then the default value of MaxIdleConnectionsPercent is 40. If the value of MaxConnectionsPercent isn\'t specified, then for SQL Server, MaxIdleConnectionsPercent is 5, and for all other engines, the default is 50.
Constraints:
Must be between 0 and the value of MaxConnectionsPercent.
The number of seconds for a proxy to wait for a connection to become available in the connection pool. This setting only applies when the proxy has opened its maximum number of connections and all connections are busy with client sessions.
Default: 120
Constraints:
Must be between 0 and 3600.
The amount of Provisioned IOPS (input/output operations per second) to allocate for the green DB instance. For information about valid IOPS values, see Amazon RDS DB instance storage in the Amazon RDS User Guide.
This setting doesn\'t apply to Amazon Aurora blue/green deployments.
', 'CreateBlueGreenDeploymentRequest$TargetAllocatedStorage' => 'The amount of storage in gibibytes (GiB) to allocate for the green DB instance. You can choose to increase or decrease the allocated storage on the green DB instance.
This setting doesn\'t apply to Amazon Aurora blue/green deployments.
', 'CreateBlueGreenDeploymentRequest$TargetStorageThroughput' => 'The storage throughput value for the green DB instance.
This setting applies only to the gp3 storage type.
This setting doesn\'t apply to Amazon Aurora blue/green deployments.
', 'CreateDBClusterMessage$BackupRetentionPeriod' => 'The number of days for which automated backups are retained.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Default: 1
Constraints:
Must be a value from 1 to 35.
The port number on which the instances in the DB cluster accept connections.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values: 1150-65535
Default:
RDS for MySQL and Aurora MySQL - 3306
RDS for PostgreSQL and Aurora PostgreSQL - 5432
The amount of storage in gibibytes (GiB) to allocate to each DB instance in the Multi-AZ DB cluster.
Valid for Cluster Type: Multi-AZ DB clusters only
This setting is required to create a Multi-AZ DB cluster.
', 'CreateDBClusterMessage$Iops' => 'The amount of Provisioned IOPS (input/output operations per second) to be initially allocated for each DB instance in the Multi-AZ DB cluster.
For information about valid IOPS values, see Provisioned IOPS storage in the Amazon RDS User Guide.
This setting is required to create a Multi-AZ DB cluster.
Valid for Cluster Type: Multi-AZ DB clusters only
Constraints:
Must be a multiple between .5 and 50 of the storage amount for the DB cluster.
The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB cluster. To turn off collecting Enhanced Monitoring metrics, specify 0.
If MonitoringRoleArn is specified, also set MonitoringInterval to a value other than 0.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values: 0 | 1 | 5 | 10 | 15 | 30 | 60
Default: 0
The number of days to retain Performance Insights data.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
If you specify a retention period that isn\'t valid, such as 94, Amazon RDS issues an error.
The amount of storage in gibibytes (GiB) to allocate for the DB instance.
This setting doesn\'t apply to Amazon Aurora DB instances. Aurora cluster volumes automatically grow as the amount of data in your database increases, though you are only charged for the space that you use in an Aurora cluster volume.
Constraints to the amount of storage for each storage type are the following:
General Purpose (SSD) storage (gp2, gp3): Must be an integer from 40 to 65536 for RDS Custom for Oracle, 16384 for RDS Custom for SQL Server.
Provisioned IOPS storage (io1, io2): Must be an integer from 40 to 65536 for RDS Custom for Oracle, 16384 for RDS Custom for SQL Server.
Constraints to the amount of storage for each storage type are the following:
General Purpose (SSD) storage (gp3): Must be an integer from 20 to 65536.
Provisioned IOPS storage (io1, io2): Must be an integer from 100 to 65536.
Constraints to the amount of storage for each storage type are the following:
General Purpose (SSD) storage (gp2, gp3): Must be an integer from 20 to 65536.
Provisioned IOPS storage (io1, io2): Must be an integer from 100 to 65536.
Magnetic storage (standard): Must be an integer from 5 to 3072.
Constraints to the amount of storage for each storage type are the following:
General Purpose (SSD) storage (gp2, gp3): Must be an integer from 20 to 65536.
Provisioned IOPS storage (io1, io2): Must be an integer from 100 to 65536.
Magnetic storage (standard): Must be an integer from 5 to 3072.
Constraints to the amount of storage for each storage type are the following:
General Purpose (SSD) storage (gp2, gp3): Must be an integer from 20 to 65536.
Provisioned IOPS storage (io1, io2): Must be an integer from 100 to 65536.
Magnetic storage (standard): Must be an integer from 10 to 3072.
Constraints to the amount of storage for each storage type are the following:
General Purpose (SSD) storage (gp2, gp3): Must be an integer from 20 to 65536.
Provisioned IOPS storage (io1, io2): Must be an integer from 100 to 65536.
Magnetic storage (standard): Must be an integer from 5 to 3072.
Constraints to the amount of storage for each storage type are the following:
General Purpose (SSD) storage (gp2, gp3):
Enterprise and Standard editions: Must be an integer from 20 to 16384.
Web and Express editions: Must be an integer from 20 to 16384.
Provisioned IOPS storage (io1, io2):
Enterprise and Standard editions: Must be an integer from 100 to 16384.
Web and Express editions: Must be an integer from 100 to 16384.
Magnetic storage (standard):
Enterprise and Standard editions: Must be an integer from 20 to 1024.
Web and Express editions: Must be an integer from 20 to 1024.
The number of days for which automated backups are retained. Setting this parameter to a positive number enables backups. Setting this parameter to 0 disables automated backups.
This setting doesn\'t apply to Amazon Aurora DB instances. The retention period for automated backups is managed by the DB cluster.
Default: 1
Constraints:
Must be a value from 0 to 35.
Can\'t be set to 0 if the DB instance is a source to read replicas.
Can\'t be set to 0 for an RDS Custom for Oracle DB instance.
The port number on which the database accepts connections.
This setting doesn\'t apply to Aurora DB instances. The port number is managed by the cluster.
Valid Values: 1150-65535
Default:
RDS for Db2 - 50000
RDS for MariaDB - 3306
RDS for Microsoft SQL Server - 1433
RDS for MySQL - 3306
RDS for Oracle - 1521
RDS for PostgreSQL - 5432
Constraints:
For RDS for Microsoft SQL Server, the value can\'t be 1234, 1434, 3260, 3343, 3389, 47001, or 49152-49156.
The amount of Provisioned IOPS (input/output operations per second) to initially allocate for the DB instance. For information about valid IOPS values, see Amazon RDS DB instance storage in the Amazon RDS User Guide.
This setting doesn\'t apply to Amazon Aurora DB instances. Storage is managed by the DB cluster.
Constraints:
For RDS for Db2, MariaDB, MySQL, Oracle, and PostgreSQL - Must be a multiple between .5 and 50 of the storage amount for the DB instance.
For RDS for SQL Server - Must be a multiple between 1 and 50 of the storage amount for the DB instance.
The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB instance. To disable collection of Enhanced Monitoring metrics, specify 0.
If MonitoringRoleArn is specified, then you must set MonitoringInterval to a value other than 0.
This setting doesn\'t apply to RDS Custom DB instances.
Valid Values: 0 | 1 | 5 | 10 | 15 | 30 | 60
Default: 0
The order of priority in which an Aurora Replica is promoted to the primary instance after a failure of the existing primary instance. For more information, see Fault Tolerance for an Aurora DB Cluster in the Amazon Aurora User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
Default: 1
Valid Values: 0 - 15
The number of days to retain Performance Insights data.
This setting doesn\'t apply to RDS Custom DB instances.
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
If you specify a retention period that isn\'t valid, such as 94, Amazon RDS returns an error.
The upper limit in gibibytes (GiB) to which Amazon RDS can automatically scale the storage of the DB instance.
For more information about this setting, including limitations that apply to it, see Managing capacity automatically with Amazon RDS storage autoscaling in the Amazon RDS User Guide.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora (Storage is managed by the DB cluster.)
RDS Custom
The storage throughput value for the DB instance.
This setting applies only to the gp3 storage type.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$Port' => 'The port number that the DB instance uses for connections.
Valid Values: 1150-65535
Default: Inherits the value from the source DB instance.
', 'CreateDBInstanceReadReplicaMessage$Iops' => 'The amount of Provisioned IOPS (input/output operations per second) to initially allocate for the DB instance.
', 'CreateDBInstanceReadReplicaMessage$MonitoringInterval' => 'The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the read replica. To disable collection of Enhanced Monitoring metrics, specify 0. The default is 0.
If MonitoringRoleArn is specified, then you must set MonitoringInterval to a value other than 0.
This setting doesn\'t apply to RDS Custom DB instances.
Valid Values: 0, 1, 5, 10, 15, 30, 60
Default: 0
The number of days to retain Performance Insights data.
This setting doesn\'t apply to RDS Custom DB instances.
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
If you specify a retention period that isn\'t valid, such as 94, Amazon RDS returns an error.
The upper limit in gibibytes (GiB) to which Amazon RDS can automatically scale the storage of the DB instance.
For more information about this setting, including limitations that apply to it, see Managing capacity automatically with Amazon RDS storage autoscaling in the Amazon RDS User Guide.
', 'CreateDBInstanceReadReplicaMessage$StorageThroughput' => 'Specifies the storage throughput value for the read replica.
This setting doesn\'t apply to RDS Custom or Amazon Aurora DB instances.
', 'CreateDBInstanceReadReplicaMessage$AllocatedStorage' => 'The amount of storage (in gibibytes) to allocate initially for the read replica. Follow the allocation rules specified in CreateDBInstance.
This setting isn\'t valid for RDS for SQL Server.
Be sure to allocate enough storage for your read replica so that the create operation can succeed. You can also allocate additional storage for future growth.
The number of seconds that a connection to the proxy can be inactive before the proxy disconnects it. You can set this value higher or lower than the connection timeout limit for the associated database.
', 'CreateDBShardGroupMessage$ComputeRedundancy' => 'Specifies whether to create standby DB shard groups for the DB shard group. Valid values are the following:
0 - Creates a DB shard group without a standby DB shard group. This is the default value.
1 - Creates a DB shard group with a standby DB shard group in a different Availability Zone (AZ).
2 - Creates a DB shard group with two standby DB shard groups in two different AZs.
For all database engines except Amazon Aurora, AllocatedStorage specifies the allocated storage size in gibibytes (GiB). For Aurora, AllocatedStorage always returns 1, because Aurora DB cluster storage size isn\'t fixed, but instead automatically adjusts as needed.
The number of days for which automatic DB snapshots are retained.
', 'DBCluster$Port' => 'The port that the database engine is listening on.
', 'DBCluster$Capacity' => 'The current capacity of an Aurora Serverless v1 DB cluster. The capacity is 0 (zero) when the cluster is paused.
For more information about Aurora Serverless v1, see Using Amazon Aurora Serverless v1 in the Amazon Aurora User Guide.
', 'DBCluster$Iops' => 'The Provisioned IOPS (I/O operations per second) value.
This setting is only for non-Aurora Multi-AZ DB clusters.
', 'DBCluster$MonitoringInterval' => 'The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB cluster.
This setting is only for -Aurora DB clusters and Multi-AZ DB clusters.
', 'DBCluster$PerformanceInsightsRetentionPeriod' => 'The number of days to retain Performance Insights data.
This setting is only for Aurora DB clusters and Multi-AZ DB clusters.
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
The storage throughput for the DB cluster. The throughput is automatically set based on the IOPS that you provision, and is not configurable.
This setting is only for non-Aurora Multi-AZ DB clusters.
', 'DBClusterAutomatedBackup$BackupRetentionPeriod' => 'The retention period for the automated backups.
', 'DBClusterAutomatedBackup$Iops' => 'The IOPS (I/O operations per second) value for the automated backup.
This setting is only for non-Aurora Multi-AZ DB clusters.
', 'DBClusterAutomatedBackup$StorageThroughput' => 'The storage throughput for the automated backup. The throughput is automatically set based on the IOPS that you provision, and is not configurable.
This setting is only for non-Aurora Multi-AZ DB clusters.
', 'DBClusterCapacityInfo$PendingCapacity' => 'A value that specifies the capacity that the DB cluster scales to next.
', 'DBClusterCapacityInfo$CurrentCapacity' => 'The current capacity of the DB cluster.
', 'DBClusterCapacityInfo$SecondsBeforeTimeout' => 'The number of seconds before a call to ModifyCurrentDBClusterCapacity times out.
A value that specifies the order in which an Aurora Replica is promoted to the primary instance after a failure of the existing primary instance. For more information, see Fault Tolerance for an Aurora DB Cluster in the Amazon Aurora User Guide.
', 'DBClusterSnapshot$StorageThroughput' => 'The storage throughput for the DB cluster snapshot. The throughput is automatically set based on the IOPS that you provision, and is not configurable.
This setting is only for non-Aurora Multi-AZ DB clusters.
', 'DBInstance$Iops' => 'The Provisioned IOPS (I/O operations per second) value for the DB instance.
', 'DBInstance$MonitoringInterval' => 'The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB instance.
', 'DBInstance$PromotionTier' => 'The order of priority in which an Aurora Replica is promoted to the primary instance after a failure of the existing primary instance. For more information, see Fault Tolerance for an Aurora DB Cluster in the Amazon Aurora User Guide.
', 'DBInstance$PerformanceInsightsRetentionPeriod' => 'The number of days to retain Performance Insights data.
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
The upper limit in gibibytes (GiB) to which Amazon RDS can automatically scale the storage of the DB instance.
', 'DBInstance$StorageThroughput' => 'The storage throughput for the DB instance.
This setting applies only to the gp3 storage type.
The IOPS (I/O operations per second) value for the automated backup.
', 'DBInstanceAutomatedBackup$BackupRetentionPeriod' => 'The retention period for the automated backups.
', 'DBInstanceAutomatedBackup$StorageThroughput' => 'The storage throughput for the automated backup.
', 'DBShardGroup$ComputeRedundancy' => 'Specifies whether to create standby DB shard groups for the DB shard group. Valid values are the following:
0 - Creates a DB shard group without a standby DB shard group. This is the default value.
1 - Creates a DB shard group with a standby DB shard group in a different Availability Zone (AZ).
2 - Creates a DB shard group with two standby DB shard groups in two different AZs.
Specifies the Provisioned IOPS (I/O operations per second) value of the DB instance at the time of the snapshot.
', 'DBSnapshot$StorageThroughput' => 'Specifies the storage throughput for the DB snapshot.
', 'DescribeCertificatesMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBClusterAutomatedBackupsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBClusterEndpointsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBClusterParameterGroupsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBClusterParametersMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBClusterSnapshotsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBClustersMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100
', 'DescribeDBEngineVersionsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more than the MaxRecords value is available, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBInstanceAutomatedBackupsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBLogFilesMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
', 'DescribeDBParameterGroupsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBParametersMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBRecommendationsMessage$MaxRecords' => 'The maximum number of recommendations to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBSnapshotTenantDatabasesMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBSubnetGroupsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeEngineDefaultClusterParametersMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeEngineDefaultParametersMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeEventSubscriptionsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeEventsMessage$Duration' => 'The number of minutes to retrieve events for.
Default: 60
', 'DescribeEventsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeGlobalClustersMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeIntegrationsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeOptionGroupOptionsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeOptionGroupsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeOrderableDBInstanceOptionsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 1000.
', 'DescribePendingMaintenanceActionsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeReservedDBInstancesMessage$MaxRecords' => 'The maximum number of records to include in the response. If more than the MaxRecords value is available, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeReservedDBInstancesOfferingsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more than the MaxRecords value is available, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeSourceRegionsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeTenantDatabasesMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that you can retrieve the remaining results.
The DB cluster capacity.
When you change the capacity of a paused Aurora Serverless v1 DB cluster, it automatically resumes.
Constraints:
For Aurora MySQL, valid capacity values are 1, 2, 4, 8, 16, 32, 64, 128, and 256.
For Aurora PostgreSQL, valid capacity values are 2, 4, 8, 16, 32, 64, 192, and 384.
The amount of time, in seconds, that Aurora Serverless v1 tries to find a scaling point to perform seamless scaling before enforcing the timeout action. The default is 300.
Specify a value between 10 and 600 seconds.
', 'ModifyDBClusterMessage$BackupRetentionPeriod' => 'The number of days for which automated backups are retained. Specify a minimum value of 1.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Default: 1
Constraints:
Must be a value from 1 to 35.
The port number on which the DB cluster accepts connections.
Valid for Cluster Type: Aurora DB clusters only
Valid Values: 1150-65535
Default: The same port as the original DB cluster.
', 'ModifyDBClusterMessage$AllocatedStorage' => 'The amount of storage in gibibytes (GiB) to allocate to each DB instance in the Multi-AZ DB cluster.
Valid for Cluster Type: Multi-AZ DB clusters only
', 'ModifyDBClusterMessage$Iops' => 'The amount of Provisioned IOPS (input/output operations per second) to be initially allocated for each DB instance in the Multi-AZ DB cluster.
For information about valid IOPS values, see Amazon RDS Provisioned IOPS storage in the Amazon RDS User Guide.
Valid for Cluster Type: Multi-AZ DB clusters only
Constraints:
Must be a multiple between .5 and 50 of the storage amount for the DB cluster.
The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB cluster. To turn off collecting Enhanced Monitoring metrics, specify 0.
If MonitoringRoleArn is specified, also set MonitoringInterval to a value other than 0.
Valid for Cluster Type: Multi-AZ DB clusters only
Valid Values: 0 | 1 | 5 | 10 | 15 | 30 | 60
Default: 0
The number of days to retain Performance Insights data.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
If you specify a retention period that isn\'t valid, such as 94, Amazon RDS issues an error.
The new amount of storage in gibibytes (GiB) to allocate for the DB instance.
For RDS for Db2, MariaDB, RDS for MySQL, RDS for Oracle, and RDS for PostgreSQL, the value supplied must be at least 10% greater than the current value. Values that are not at least 10% greater than the existing value are rounded up so that they are 10% greater than the current value.
For the valid values for allocated storage for each engine, see CreateDBInstance.
Constraints:
When you increase the allocated storage for a DB instance that uses Provisioned IOPS (gp3, io1, or io2 storage type), you must also specify the Iops parameter. You can use the current value for Iops.
The number of days to retain automated backups. Setting this parameter to a positive number enables backups. Setting this parameter to 0 disables automated backups.
Enabling and disabling backups can result in a brief I/O suspension that lasts from a few seconds to a few minutes, depending on the size and class of your DB instance.
These changes are applied during the next maintenance window unless the ApplyImmediately parameter is enabled for this request. If you change the parameter from one non-zero value to another non-zero value, the change is asynchronously applied as soon as possible.
This setting doesn\'t apply to Amazon Aurora DB instances. The retention period for automated backups is managed by the DB cluster. For more information, see ModifyDBCluster.
Default: Uses existing setting
Constraints:
Must be a value from 0 to 35.
Can\'t be set to 0 if the DB instance is a source to read replicas.
Can\'t be set to 0 for an RDS Custom for Oracle DB instance.
The new Provisioned IOPS (I/O operations per second) value for the RDS instance.
Changing this setting doesn\'t result in an outage and the change is applied during the next maintenance window unless the ApplyImmediately parameter is enabled for this request. If you are migrating from Provisioned IOPS to standard storage, set this value to 0. The DB instance will require a reboot for the change in storage type to take effect.
If you choose to migrate your DB instance from using standard storage to Provisioned IOPS (io1), or from Provisioned IOPS to standard storage, the process can take time. The duration of the migration depends on several factors such as database load, storage size, storage type (standard or Provisioned IOPS), amount of IOPS provisioned (if any), and the number of prior scale storage operations. Typical migration times are under 24 hours, but the process can take up to several days in some cases. During the migration, the DB instance is available for use, but might experience performance degradation. While the migration takes place, nightly backups for the instance are suspended. No other Amazon RDS operations can take place for the instance, including modifying the instance, rebooting the instance, deleting the instance, creating a read replica for the instance, and creating a DB snapshot of the instance.
Constraints:
For RDS for MariaDB, RDS for MySQL, RDS for Oracle, and RDS for PostgreSQL - The value supplied must be at least 10% greater than the current value. Values that are not at least 10% greater than the existing value are rounded up so that they are 10% greater than the current value.
When you increase the Provisioned IOPS, you must also specify the AllocatedStorage parameter. You can use the current value for AllocatedStorage.
Default: Uses existing setting
', 'ModifyDBInstanceMessage$MonitoringInterval' => 'The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB instance. To disable collection of Enhanced Monitoring metrics, specify 0.
If MonitoringRoleArn is specified, set MonitoringInterval to a value other than 0.
This setting doesn\'t apply to RDS Custom DB instances.
Valid Values: 0 | 1 | 5 | 10 | 15 | 30 | 60
Default: 0
The port number on which the database accepts connections.
The value of the DBPortNumber parameter must not match any of the port values specified for options in the option group for the DB instance.
If you change the DBPortNumber value, your database restarts regardless of the value of the ApplyImmediately parameter.
This setting doesn\'t apply to RDS Custom DB instances.
Valid Values: 1150-65535
Default:
Amazon Aurora - 3306
RDS for Db2 - 50000
RDS for MariaDB - 3306
RDS for Microsoft SQL Server - 1433
RDS for MySQL - 3306
RDS for Oracle - 1521
RDS for PostgreSQL - 5432
Constraints:
For RDS for Microsoft SQL Server, the value can\'t be 1234, 1434, 3260, 3343, 3389, 47001, or 49152-49156.
The order of priority in which an Aurora Replica is promoted to the primary instance after a failure of the existing primary instance. For more information, see Fault Tolerance for an Aurora DB Cluster in the Amazon Aurora User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
Default: 1
Valid Values: 0 - 15
The number of days to retain Performance Insights data.
This setting doesn\'t apply to RDS Custom DB instances.
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
If you specify a retention period that isn\'t valid, such as 94, Amazon RDS returns an error.
The upper limit in gibibytes (GiB) to which Amazon RDS can automatically scale the storage of the DB instance.
For more information about this setting, including limitations that apply to it, see Managing capacity automatically with Amazon RDS storage autoscaling in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$ResumeFullAutomationModeMinutes' => 'The number of minutes to pause the automation. When the time period ends, RDS Custom resumes full automation.
Default: 60
Constraints:
Must be at least 60.
Must be no more than 1,440.
The storage throughput value for the DB instance.
This setting applies only to the gp3 storage type.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
', 'ModifyDBProxyRequest$IdleClientTimeout' => 'The number of seconds that a connection to the proxy can be inactive before the proxy disconnects it. You can set this value higher or lower than the connection timeout limit for the associated database.
', 'ModifyDBShardGroupMessage$ComputeRedundancy' => 'Specifies whether to create standby DB shard groups for the DB shard group. Valid values are the following:
0 - Creates a DB shard group without a standby DB shard group. This is the default value.
1 - Creates a DB shard group with a standby DB shard group in a different Availability Zone (AZ).
2 - Creates a DB shard group with two standby DB shard groups in two different AZs.
If required, the port configured for this option to use.
', 'OptionConfiguration$Port' => 'The optional port for the option.
', 'OptionGroupOption$DefaultPort' => 'If the option requires a port, specifies the default port for the option.
', 'OrderableDBInstanceOption$MinStorageSize' => 'Minimum storage size for a DB instance.
', 'OrderableDBInstanceOption$MaxStorageSize' => 'Maximum storage size for a DB instance.
', 'OrderableDBInstanceOption$MinIopsPerDbInstance' => 'Minimum total provisioned IOPS for a DB instance.
', 'OrderableDBInstanceOption$MaxIopsPerDbInstance' => 'Maximum total provisioned IOPS for a DB instance.
', 'OrderableDBInstanceOption$MinStorageThroughputPerDbInstance' => 'Minimum storage throughput for a DB instance.
', 'OrderableDBInstanceOption$MaxStorageThroughputPerDbInstance' => 'Maximum storage throughput for a DB instance.
', 'PendingModifiedValues$AllocatedStorage' => 'The allocated storage size for the DB instance specified in gibibytes (GiB).
', 'PendingModifiedValues$Port' => 'The port for the DB instance.
', 'PendingModifiedValues$BackupRetentionPeriod' => 'The number of days for which automated backups are retained.
', 'PendingModifiedValues$Iops' => 'The Provisioned IOPS value for the DB instance.
', 'PendingModifiedValues$StorageThroughput' => 'The storage throughput of the DB instance.
', 'PromoteReadReplicaMessage$BackupRetentionPeriod' => 'The number of days for which automated backups are retained. Setting this parameter to a positive number enables backups. Setting this parameter to 0 disables automated backups.
Default: 1
Constraints:
Must be a value from 0 to 35.
Can\'t be set to 0 if the DB instance is a source to read replicas.
The number of instances to reserve.
Default: 1
The step value for the range. For example, if you have a range of 5,000 to 10,000, with a step value of 1,000, the valid values start at 5,000 and step up by 1,000. Even though 7,500 is within the range, it isn\'t a valid value for the range. The valid values are 5,000, 6,000, 7,000, 8,000...
', 'RestoreDBClusterFromS3Message$BackupRetentionPeriod' => 'The number of days for which automated backups of the restored DB cluster are retained. You must specify a minimum value of 1.
Default: 1
Constraints:
Must be a value from 1 to 35
The port number on which the instances in the restored DB cluster accept connections.
Default: 3306
The port number on which the new DB cluster accepts connections.
Constraints: This value must be 1150-65535
Default: The same port as the original DB cluster.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$Iops' => 'The amount of Provisioned IOPS (input/output operations per second) to be initially allocated for each DB instance in the Multi-AZ DB cluster.
For information about valid IOPS values, see Amazon RDS Provisioned IOPS storage in the Amazon RDS User Guide.
Constraints: Must be a multiple between .5 and 50 of the storage amount for the DB instance.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$MonitoringInterval' => 'The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB cluster. To turn off collecting Enhanced Monitoring metrics, specify 0.
If MonitoringRoleArn is specified, also set MonitoringInterval to a value other than 0.
Valid Values: 0 | 1 | 5 | 10 | 15 | 30 | 60
Default: 0
The number of days to retain Performance Insights data.
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
If you specify a retention period that isn\'t valid, such as 94, Amazon RDS issues an error.
The port number on which the new DB cluster accepts connections.
Constraints: A value from 1150-65535.
Default: The default port for the engine.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$Iops' => 'The amount of Provisioned IOPS (input/output operations per second) to be initially allocated for each DB instance in the Multi-AZ DB cluster.
For information about valid IOPS values, see Amazon RDS Provisioned IOPS storage in the Amazon RDS User Guide.
Constraints: Must be a multiple between .5 and 50 of the storage amount for the DB instance.
Valid for: Multi-AZ DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$MonitoringInterval' => 'The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB cluster. To turn off collecting Enhanced Monitoring metrics, specify 0.
If MonitoringRoleArn is specified, also set MonitoringInterval to a value other than 0.
Valid Values: 0 | 1 | 5 | 10 | 15 | 30 | 60
Default: 0
The number of days to retain Performance Insights data.
Valid Values:
7
month * 31, where month is a number of months from 1-23. Examples: 93 (3 months * 31), 341 (11 months * 31), 589 (19 months * 31)
731
Default: 7 days
If you specify a retention period that isn\'t valid, such as 94, Amazon RDS issues an error.
The port number on which the database accepts connections.
Default: The same port as the original DB instance
Constraints: Value must be 1150-65535
Specifies the amount of provisioned IOPS for the DB instance, expressed in I/O operations per second. If this parameter isn\'t specified, the IOPS value is taken from the backup. If this parameter is set to 0, the new instance is converted to a non-PIOPS instance. The conversion takes additional time, though your DB instance is available for connections before the conversion starts.
The provisioned IOPS value must follow the requirements for your database engine. For more information, see Amazon RDS Provisioned IOPS storage in the Amazon RDS User Guide.
Constraints: Must be an integer greater than 1000.
', 'RestoreDBInstanceFromDBSnapshotMessage$StorageThroughput' => 'Specifies the storage throughput value for the DB instance.
This setting doesn\'t apply to RDS Custom or Amazon Aurora.
', 'RestoreDBInstanceFromDBSnapshotMessage$AllocatedStorage' => 'The amount of storage (in gibibytes) to allocate initially for the DB instance. Follow the allocation rules specified in CreateDBInstance.
This setting isn\'t valid for RDS for SQL Server.
Be sure to allocate enough storage for your new DB instance so that the restore operation can succeed. You can also allocate additional storage for future growth.
The amount of storage (in gibibytes) to allocate initially for the DB instance. Follow the allocation rules specified in CreateDBInstance.
This setting isn\'t valid for RDS for SQL Server.
Be sure to allocate enough storage for your new DB instance so that the restore operation can succeed. You can also allocate additional storage for future growth.
The number of days for which automated backups are retained. Setting this parameter to a positive number enables backups. For more information, see CreateDBInstance.
The port number on which the database accepts connections.
Type: Integer
Valid Values: 1150-65535
Default: 3306
The amount of Provisioned IOPS (input/output operations per second) to allocate initially for the DB instance. For information about valid IOPS values, see Amazon RDS Provisioned IOPS storage in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromS3Message$MonitoringInterval' => 'The interval, in seconds, between points when Enhanced Monitoring metrics are collected for the DB instance. To disable collecting Enhanced Monitoring metrics, specify 0.
If MonitoringRoleArn is specified, then you must also set MonitoringInterval to a value other than 0.
Valid Values: 0, 1, 5, 10, 15, 30, 60
Default: 0
The number of days to retain Performance Insights data. The default is 7 days. The following values are valid:
7
month * 31, where month is a number of months from 1-23
731
For example, the following values are valid:
93 (3 months * 31)
341 (11 months * 31)
589 (19 months * 31)
731
If you specify a retention period such as 94, which isn\'t a valid value, RDS issues an error.
', 'RestoreDBInstanceFromS3Message$MaxAllocatedStorage' => 'The upper limit in gibibytes (GiB) to which Amazon RDS can automatically scale the storage of the DB instance.
For more information about this setting, including limitations that apply to it, see Managing capacity automatically with Amazon RDS storage autoscaling in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromS3Message$StorageThroughput' => 'Specifies the storage throughput value for the DB instance.
This setting doesn\'t apply to RDS Custom or Amazon Aurora.
', 'RestoreDBInstanceToPointInTimeMessage$Port' => 'The port number on which the database accepts connections.
Default: The same port as the original DB instance.
Constraints:
The value must be 1150-65535.
The amount of Provisioned IOPS (input/output operations per second) to initially allocate for the DB instance.
This setting doesn\'t apply to SQL Server.
Constraints:
Must be an integer greater than 1000.
The upper limit in gibibytes (GiB) to which Amazon RDS can automatically scale the storage of the DB instance.
For more information about this setting, including limitations that apply to it, see Managing capacity automatically with Amazon RDS storage autoscaling in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceToPointInTimeMessage$StorageThroughput' => 'The storage throughput value for the DB instance.
This setting doesn\'t apply to RDS Custom or Amazon Aurora.
', 'RestoreDBInstanceToPointInTimeMessage$AllocatedStorage' => 'The amount of storage (in gibibytes) to allocate initially for the DB instance. Follow the allocation rules specified in CreateDBInstance.
This setting isn\'t valid for RDS for SQL Server.
Be sure to allocate enough storage for your new DB instance so that the restore operation can succeed. You can also allocate additional storage for future growth.
The minimum capacity for an Aurora DB cluster in serverless DB engine mode.
For Aurora MySQL, valid capacity values are 1, 2, 4, 8, 16, 32, 64, 128, and 256.
For Aurora PostgreSQL, valid capacity values are 2, 4, 8, 16, 32, 64, 192, and 384.
The minimum capacity must be less than or equal to the maximum capacity.
', 'ScalingConfiguration$MaxCapacity' => 'The maximum capacity for an Aurora DB cluster in serverless DB engine mode.
For Aurora MySQL, valid capacity values are 1, 2, 4, 8, 16, 32, 64, 128, and 256.
For Aurora PostgreSQL, valid capacity values are 2, 4, 8, 16, 32, 64, 192, and 384.
The maximum capacity must be greater than or equal to the minimum capacity.
', 'ScalingConfiguration$SecondsUntilAutoPause' => 'The time, in seconds, before an Aurora DB cluster in serverless mode is paused.
Specify a value between 300 and 86,400 seconds.
', 'ScalingConfiguration$SecondsBeforeTimeout' => 'The amount of time, in seconds, that Aurora Serverless v1 tries to find a scaling point to perform seamless scaling before enforcing the timeout action. The default is 300.
Specify a value between 60 and 600 seconds.
', 'ScalingConfigurationInfo$MinCapacity' => 'The minimum capacity for an Aurora DB cluster in serverless DB engine mode.
The maximum capacity for an Aurora DB cluster in serverless DB engine mode.
The remaining amount of time, in seconds, before the Aurora DB cluster in serverless mode is paused. A DB cluster can be paused only when it\'s idle (it has no connections).
The number of seconds before scaling times out. What happens when an attempted scaling action times out is determined by the TimeoutAction setting.
Specifies the number of seconds an Aurora Serverless v2 DB instance must be idle before Aurora attempts to automatically pause it.
Specify a value between 300 seconds (five minutes) and 86,400 seconds (one day). The default is 300 seconds.
', 'ServerlessV2ScalingConfigurationInfo$SecondsUntilAutoPause' => 'The number of seconds an Aurora Serverless v2 DB instance must be idle before Aurora attempts to automatically pause it. This property is only shown when the minimum capacity for the cluster is set to 0 ACUs. Changing the minimum capacity to a nonzero value removes this property. If you later change the minimum capacity back to 0 ACUs, this property is reset to its default value unless you specify it again.
This value ranges between 300 seconds (five minutes) and 86,400 seconds (one day). The default is 300 seconds.
', 'StartDBInstanceAutomatedBackupsReplicationMessage$BackupRetentionPeriod' => 'The retention period for the replicated automated backups.
', ], ], 'Integration' => [ 'base' => 'A zero-ETL integration with Amazon Redshift.
', 'refs' => [ 'IntegrationList$member' => NULL, ], ], 'IntegrationAlreadyExistsFault' => [ 'base' => 'The integration you are trying to create already exists.
', 'refs' => [], ], 'IntegrationArn' => [ 'base' => NULL, 'refs' => [ 'Integration$IntegrationArn' => 'The ARN of the integration.
', ], ], 'IntegrationConflictOperationFault' => [ 'base' => 'A conflicting conditional operation is currently in progress against this resource. Typically occurs when there are multiple requests being made to the same resource at the same time, and these requests conflict with each other.
', 'refs' => [], ], 'IntegrationDescription' => [ 'base' => NULL, 'refs' => [ 'CreateIntegrationMessage$Description' => 'A description of the integration.
', 'Integration$Description' => 'A description of the integration.
', 'ModifyIntegrationMessage$Description' => 'A new description for the integration.
', ], ], 'IntegrationError' => [ 'base' => 'An error associated with a zero-ETL integration with Amazon Redshift.
', 'refs' => [ 'IntegrationErrorList$member' => NULL, ], ], 'IntegrationErrorList' => [ 'base' => NULL, 'refs' => [ 'Integration$Errors' => 'Any errors associated with the integration.
', ], ], 'IntegrationIdentifier' => [ 'base' => NULL, 'refs' => [ 'DeleteIntegrationMessage$IntegrationIdentifier' => 'The unique identifier of the integration.
', 'DescribeIntegrationsMessage$IntegrationIdentifier' => 'The unique identifier of the integration.
', 'ModifyIntegrationMessage$IntegrationIdentifier' => 'The unique identifier of the integration to modify.
', ], ], 'IntegrationList' => [ 'base' => NULL, 'refs' => [ 'DescribeIntegrationsResponse$Integrations' => 'A list of integrations.
', ], ], 'IntegrationName' => [ 'base' => NULL, 'refs' => [ 'CreateIntegrationMessage$IntegrationName' => 'The name of the integration.
', 'Integration$IntegrationName' => 'The name of the integration.
', 'ModifyIntegrationMessage$IntegrationName' => 'A new name for the integration.
', ], ], 'IntegrationNotFoundFault' => [ 'base' => 'The specified integration could not be found.
', 'refs' => [], ], 'IntegrationQuotaExceededFault' => [ 'base' => 'You can\'t crate any more zero-ETL integrations because the quota has been reached.
', 'refs' => [], ], 'IntegrationStatus' => [ 'base' => NULL, 'refs' => [ 'Integration$Status' => 'The current status of the integration.
', ], ], 'InvalidBlueGreenDeploymentStateFault' => [ 'base' => 'The blue/green deployment can\'t be switched over or deleted because there is an invalid configuration in the green environment.
', 'refs' => [], ], 'InvalidCustomDBEngineVersionStateFault' => [ 'base' => 'You can\'t delete the CEV.
', 'refs' => [], ], 'InvalidDBClusterAutomatedBackupStateFault' => [ 'base' => 'The automated backup is in an invalid state. For example, this automated backup is associated with an active cluster.
', 'refs' => [], ], 'InvalidDBClusterCapacityFault' => [ 'base' => ' Capacity isn\'t a valid Aurora Serverless DB cluster capacity. Valid capacity values are 2, 4, 8, 16, 32, 64, 128, and 256.
The requested operation can\'t be performed on the endpoint while the endpoint is in this state.
', 'refs' => [], ], 'InvalidDBClusterSnapshotStateFault' => [ 'base' => 'The supplied value isn\'t a valid DB cluster snapshot state.
', 'refs' => [], ], 'InvalidDBClusterStateFault' => [ 'base' => 'The requested operation can\'t be performed while the cluster is in this state.
', 'refs' => [], ], 'InvalidDBInstanceAutomatedBackupStateFault' => [ 'base' => 'The automated backup is in an invalid state. For example, this automated backup is associated with an active instance.
', 'refs' => [], ], 'InvalidDBInstanceStateFault' => [ 'base' => 'The DB instance isn\'t in a valid state.
', 'refs' => [], ], 'InvalidDBParameterGroupStateFault' => [ 'base' => 'The DB parameter group is in use or is in an invalid state. If you are attempting to delete the parameter group, you can\'t delete it when the parameter group is in this state.
', 'refs' => [], ], 'InvalidDBProxyEndpointStateFault' => [ 'base' => 'You can\'t perform this operation while the DB proxy endpoint is in a particular state.
', 'refs' => [], ], 'InvalidDBProxyStateFault' => [ 'base' => 'The requested operation can\'t be performed while the proxy is in this state.
', 'refs' => [], ], 'InvalidDBSecurityGroupStateFault' => [ 'base' => 'The state of the DB security group doesn\'t allow deletion.
', 'refs' => [], ], 'InvalidDBShardGroupStateFault' => [ 'base' => 'The DB shard group must be in the available state.
', 'refs' => [], ], 'InvalidDBSnapshotStateFault' => [ 'base' => 'The state of the DB snapshot doesn\'t allow deletion.
', 'refs' => [], ], 'InvalidDBSubnetGroupFault' => [ 'base' => 'The DBSubnetGroup doesn\'t belong to the same VPC as that of an existing cross-region read replica of the same source instance.
', 'refs' => [], ], 'InvalidDBSubnetGroupStateFault' => [ 'base' => 'The DB subnet group cannot be deleted because it\'s in use.
', 'refs' => [], ], 'InvalidDBSubnetStateFault' => [ 'base' => 'The DB subnet isn\'t in the available state.
', 'refs' => [], ], 'InvalidEventSubscriptionStateFault' => [ 'base' => 'This error can occur if someone else is modifying a subscription. You should retry the action.
', 'refs' => [], ], 'InvalidExportOnlyFault' => [ 'base' => 'The export is invalid for exporting to an Amazon S3 bucket.
', 'refs' => [], ], 'InvalidExportSourceStateFault' => [ 'base' => 'The state of the export snapshot is invalid for exporting to an Amazon S3 bucket.
', 'refs' => [], ], 'InvalidExportTaskStateFault' => [ 'base' => 'You can\'t cancel an export task that has completed.
', 'refs' => [], ], 'InvalidGlobalClusterStateFault' => [ 'base' => 'The global cluster is in an invalid state and can\'t perform the requested operation.
', 'refs' => [], ], 'InvalidIntegrationStateFault' => [ 'base' => 'The integration is in an invalid state and can\'t perform the requested operation.
', 'refs' => [], ], 'InvalidOptionGroupStateFault' => [ 'base' => 'The option group isn\'t in the available state.
', 'refs' => [], ], 'InvalidResourceStateFault' => [ 'base' => 'The operation can\'t be performed because another operation is in progress.
', 'refs' => [], ], 'InvalidRestoreFault' => [ 'base' => 'Cannot restore from VPC backup to non-VPC DB instance.
', 'refs' => [], ], 'InvalidS3BucketFault' => [ 'base' => 'The specified Amazon S3 bucket name can\'t be found or Amazon RDS isn\'t authorized to access the specified Amazon S3 bucket. Verify the SourceS3BucketName and S3IngestionRoleArn values and try again.
', 'refs' => [], ], 'InvalidSubnet' => [ 'base' => 'The requested subnet is invalid, or multiple subnets were requested that are not all in a common VPC.
', 'refs' => [], ], 'InvalidVPCNetworkStateFault' => [ 'base' => 'The DB subnet group doesn\'t cover all Availability Zones after it\'s created because of users\' change.
', 'refs' => [], ], 'IssueDetails' => [ 'base' => 'The details of an issue with your DB instances, DB clusters, and DB parameter groups.
', 'refs' => [ 'DBRecommendation$IssueDetails' => 'Details of the issue that caused the recommendation.
', 'RecommendedAction$IssueDetails' => 'The details of the issue.
', ], ], 'KMSKeyNotAccessibleFault' => [ 'base' => 'An error occurred accessing an Amazon Web Services KMS key.
', 'refs' => [], ], 'KeyList' => [ 'base' => NULL, 'refs' => [ 'RemoveTagsFromResourceMessage$TagKeys' => 'The tag key (name) of the tag to be removed.
', ], ], 'KmsKeyIdOrArn' => [ 'base' => NULL, 'refs' => [ 'CreateCustomDBEngineVersionMessage$KMSKeyId' => 'The Amazon Web Services KMS key identifier for an encrypted CEV. A symmetric encryption KMS key is required for RDS Custom, but optional for Amazon RDS.
If you have an existing symmetric encryption KMS key in your account, you can use it with RDS Custom. No further action is necessary. If you don\'t already have a symmetric encryption KMS key in your account, follow the instructions in Creating a symmetric encryption KMS key in the Amazon Web Services Key Management Service Developer Guide.
You can choose the same symmetric encryption key when you create a CEV and a DB instance, or choose different keys.
', ], ], 'LimitlessDatabase' => [ 'base' => 'Contains details for Aurora Limitless Database.
', 'refs' => [ 'DBCluster$LimitlessDatabase' => 'The details for Aurora Limitless Database.
', ], ], 'LimitlessDatabaseStatus' => [ 'base' => NULL, 'refs' => [ 'LimitlessDatabase$Status' => 'The status of Aurora Limitless Database.
', ], ], 'ListTagsForResourceMessage' => [ 'base' => '', 'refs' => [], ], 'LocalWriteForwardingStatus' => [ 'base' => NULL, 'refs' => [ 'DBCluster$LocalWriteForwardingStatus' => 'Indicates whether an Aurora DB cluster has in-cluster write forwarding enabled, not enabled, requested, or is in the process of enabling it.
', ], ], 'LogTypeList' => [ 'base' => NULL, 'refs' => [ 'CloudwatchLogsExportConfiguration$EnableLogTypes' => 'The list of log types to enable.
The following values are valid for each DB engine:
Aurora MySQL - audit | error | general | slowquery
Aurora PostgreSQL - postgresql
RDS for MySQL - error | general | slowquery
RDS for PostgreSQL - postgresql | upgrade
The list of log types to disable.
The following values are valid for each DB engine:
Aurora MySQL - audit | error | general | slowquery
Aurora PostgreSQL - postgresql
RDS for MySQL - error | general | slowquery
RDS for PostgreSQL - postgresql | upgrade
The list of log types that need to be enabled for exporting to CloudWatch Logs.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
The following values are valid for each DB engine:
Aurora MySQL - audit | error | general | slowquery
Aurora PostgreSQL - postgresql
RDS for MySQL - error | general | slowquery
RDS for PostgreSQL - postgresql | upgrade
For more information about exporting CloudWatch Logs for Amazon RDS, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
For more information about exporting CloudWatch Logs for Amazon Aurora, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon Aurora User Guide.
', 'CreateDBInstanceMessage$EnableCloudwatchLogsExports' => 'The list of log types to enable for exporting to CloudWatch Logs. For more information, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora (CloudWatch Logs exports are managed by the DB cluster.)
RDS Custom
The following values are valid for each DB engine:
RDS for Db2 - diag.log | notify.log
RDS for MariaDB - audit | error | general | slowquery
RDS for Microsoft SQL Server - agent | error
RDS for MySQL - audit | error | general | slowquery
RDS for Oracle - alert | audit | listener | trace | oemagent
RDS for PostgreSQL - postgresql | upgrade
The list of logs that the new DB instance is to export to CloudWatch Logs. The values in the list depend on the DB engine being used. For more information, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'DBCluster$EnabledCloudwatchLogsExports' => 'A list of log types that this DB cluster is configured to export to CloudWatch Logs.
Log types vary by DB engine. For information about the log types for each DB engine, see Amazon RDS Database Log Files in the Amazon Aurora User Guide.
', 'DBEngineVersion$ExportableLogTypes' => 'The types of logs that the database engine has available for export to CloudWatch Logs.
', 'DBInstance$EnabledCloudwatchLogsExports' => 'A list of log types that this DB instance is configured to export to CloudWatch Logs.
Log types vary by DB engine. For information about the log types for each DB engine, see Monitoring Amazon RDS log files in the Amazon RDS User Guide.
', 'PendingCloudwatchLogsExports$LogTypesToEnable' => 'Log types that are in the process of being deactivated. After they are deactivated, these log types aren\'t exported to CloudWatch Logs.
', 'PendingCloudwatchLogsExports$LogTypesToDisable' => 'Log types that are in the process of being enabled. After they are enabled, these log types are exported to CloudWatch Logs.
', 'RestoreDBClusterFromS3Message$EnableCloudwatchLogsExports' => 'The list of logs that the restored DB cluster is to export to CloudWatch Logs. The values in the list depend on the DB engine being used.
Aurora MySQL
Possible values are audit, error, general, and slowquery.
For more information about exporting CloudWatch Logs for Amazon Aurora, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon Aurora User Guide.
', 'RestoreDBClusterFromSnapshotMessage$EnableCloudwatchLogsExports' => 'The list of logs that the restored DB cluster is to export to Amazon CloudWatch Logs. The values in the list depend on the DB engine being used.
RDS for MySQL
Possible values are error, general, and slowquery.
RDS for PostgreSQL
Possible values are postgresql and upgrade.
Aurora MySQL
Possible values are audit, error, general, and slowquery.
Aurora PostgreSQL
Possible value is postgresql.
For more information about exporting CloudWatch Logs for Amazon RDS, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
For more information about exporting CloudWatch Logs for Amazon Aurora, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon Aurora User Guide.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$EnableCloudwatchLogsExports' => 'The list of logs that the restored DB cluster is to export to CloudWatch Logs. The values in the list depend on the DB engine being used.
RDS for MySQL
Possible values are error, general, and slowquery.
RDS for PostgreSQL
Possible values are postgresql and upgrade.
Aurora MySQL
Possible values are audit, error, general, and slowquery.
Aurora PostgreSQL
Possible value is postgresql.
For more information about exporting CloudWatch Logs for Amazon RDS, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
For more information about exporting CloudWatch Logs for Amazon Aurora, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon Aurora User Guide.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBInstanceFromDBSnapshotMessage$EnableCloudwatchLogsExports' => 'The list of logs for the restored DB instance to export to CloudWatch Logs. The values in the list depend on the DB engine. For more information, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceFromS3Message$EnableCloudwatchLogsExports' => 'The list of logs that the restored DB instance is to export to CloudWatch Logs. The values in the list depend on the DB engine being used. For more information, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
', 'RestoreDBInstanceToPointInTimeMessage$EnableCloudwatchLogsExports' => 'The list of logs that the restored DB instance is to export to CloudWatch Logs. The values in the list depend on the DB engine being used. For more information, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom.
', ], ], 'Long' => [ 'base' => NULL, 'refs' => [ 'AccountQuota$Used' => 'The amount currently used toward the quota maximum.
', 'AccountQuota$Max' => 'The maximum allowed value for the quota.
', 'DescribeDBLogFilesDetails$LastWritten' => 'A POSIX timestamp when the last log entry was written.
', 'DescribeDBLogFilesDetails$Size' => 'The size, in bytes, of the log file for the specified DB instance.
', 'DescribeDBLogFilesMessage$FileLastWritten' => 'Filters the available log files for files written since the specified date, in POSIX timestamp format with milliseconds.
', 'DescribeDBLogFilesMessage$FileSize' => 'Filters the available log files for files larger than the specified size.
', ], ], 'LongOptional' => [ 'base' => NULL, 'refs' => [ 'CreateDBClusterMessage$BacktrackWindow' => 'The target backtrack window, in seconds. To disable backtracking, set this value to 0.
Valid for Cluster Type: Aurora MySQL DB clusters only
Default: 0
Constraints:
If specified, this value must be set to a number from 0 to 259,200 (72 hours).
The target backtrack window, in seconds. If this value is set to 0, backtracking is disabled for the DB cluster. Otherwise, backtracking is enabled.
The number of change records stored for Backtrack.
', 'ModifyDBClusterMessage$BacktrackWindow' => 'The target backtrack window, in seconds. To disable backtracking, set this value to 0.
Valid for Cluster Type: Aurora MySQL DB clusters only
Default: 0
Constraints:
If specified, this value must be set to a number from 0 to 259,200 (72 hours).
The target backtrack window, in seconds. To disable backtracking, set this value to 0.
Currently, Backtrack is only supported for Aurora MySQL DB clusters.
Default: 0
Constraints:
If specified, this value must be set to a number from 0 to 259,200 (72 hours).
The target backtrack window, in seconds. To disable backtracking, set this value to 0.
Currently, Backtrack is only supported for Aurora MySQL DB clusters.
Default: 0
Constraints:
If specified, this value must be set to a number from 0 to 259,200 (72 hours).
Valid for: Aurora DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$BacktrackWindow' => 'The target backtrack window, in seconds. To disable backtracking, set this value to 0.
Default: 0
Constraints:
If specified, this value must be set to a number from 0 to 259,200 (72 hours).
Valid for: Aurora MySQL DB clusters only
', ], ], 'Marker' => [ 'base' => NULL, 'refs' => [ 'DescribeIntegrationsMessage$Marker' => 'An optional pagination token provided by a previous DescribeIntegrations request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
A pagination token that can be used in a later DescribeIntegrations request.
Contains the secret managed by RDS in Amazon Web Services Secrets Manager for the master user password.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide and Password management with Amazon Web Services Secrets Manager in the Amazon Aurora User Guide.
', 'refs' => [ 'DBCluster$MasterUserSecret' => 'The secret managed by RDS in Amazon Web Services Secrets Manager for the master user password.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide and Password management with Amazon Web Services Secrets Manager in the Amazon Aurora User Guide.
', 'DBInstance$MasterUserSecret' => 'The secret managed by RDS in Amazon Web Services Secrets Manager for the master user password.
For more information, see Password management with Amazon Web Services Secrets Manager in the Amazon RDS User Guide.
', ], ], 'MaxDBShardGroupLimitReached' => [ 'base' => 'The maximum number of DB shard groups for your Amazon Web Services account in the specified Amazon Web Services Region has been reached.
', 'refs' => [], ], 'MaxRecords' => [ 'base' => NULL, 'refs' => [ 'DescribeBlueGreenDeploymentsRequest$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints:
Must be a minimum of 20.
Can\'t exceed 100.
The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that the remaining results can be retrieved.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBProxyEndpointsRequest$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that the remaining results can be retrieved.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBProxyTargetGroupsRequest$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that the remaining results can be retrieved.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBProxyTargetsRequest$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that the remaining results can be retrieved.
Default: 100
Constraints: Minimum 20, maximum 100.
', 'DescribeDBShardGroupsMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so you can retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100
', 'DescribeExportTasksMessage$MaxRecords' => 'The maximum number of records to include in the response. If more records exist than the specified value, a pagination token called a marker is included in the response. You can use the marker in a later DescribeExportTasks request to retrieve the remaining results.
Default: 100
Constraints: Minimum 20, maximum 100.
', ], ], 'Metric' => [ 'base' => 'The representation of a metric.
', 'refs' => [ 'MetricList$member' => NULL, ], ], 'MetricList' => [ 'base' => NULL, 'refs' => [ 'PerformanceIssueDetails$Metrics' => 'The metrics that are relevant to the performance issue.
', ], ], 'MetricQuery' => [ 'base' => 'The query to retrieve metric data points.
', 'refs' => [ 'Metric$MetricQuery' => 'The query to retrieve metric data points.
', ], ], 'MetricReference' => [ 'base' => 'The reference (threshold) for a metric.
', 'refs' => [ 'MetricReferenceList$member' => NULL, ], ], 'MetricReferenceList' => [ 'base' => NULL, 'refs' => [ 'Metric$References' => 'A list of metric references (thresholds).
', ], ], 'MinimumEngineVersionPerAllowedValue' => [ 'base' => 'The minimum DB engine version required for each corresponding allowed value for an option setting.
', 'refs' => [ 'MinimumEngineVersionPerAllowedValueList$member' => NULL, ], ], 'MinimumEngineVersionPerAllowedValueList' => [ 'base' => NULL, 'refs' => [ 'OptionGroupOptionSetting$MinimumEngineVersionPerAllowedValue' => 'The minimum DB engine version required for the corresponding allowed value for this option setting.
', ], ], 'ModifyActivityStreamRequest' => [ 'base' => NULL, 'refs' => [], ], 'ModifyActivityStreamResponse' => [ 'base' => NULL, 'refs' => [], ], 'ModifyCertificatesMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyCertificatesResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyCurrentDBClusterCapacityMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyCustomDBEngineVersionMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBClusterEndpointMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBClusterMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyDBClusterParameterGroupMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyDBClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBClusterSnapshotAttributeMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyDBClusterSnapshotAttributeResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBInstanceMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyDBInstanceResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBParameterGroupMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyDBProxyEndpointRequest' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBProxyEndpointResponse' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBProxyRequest' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBProxyResponse' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBProxyTargetGroupRequest' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBProxyTargetGroupResponse' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBRecommendationMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBShardGroupMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBSnapshotAttributeMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyDBSnapshotAttributeResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBSnapshotMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBSnapshotResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyDBSubnetGroupMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyDBSubnetGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyEventSubscriptionMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyEventSubscriptionResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyGlobalClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyGlobalClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyIntegrationMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyOptionGroupMessage' => [ 'base' => '', 'refs' => [], ], 'ModifyOptionGroupResult' => [ 'base' => NULL, 'refs' => [], ], 'ModifyTenantDatabaseMessage' => [ 'base' => NULL, 'refs' => [], ], 'ModifyTenantDatabaseResult' => [ 'base' => NULL, 'refs' => [], ], 'NetworkTypeNotSupported' => [ 'base' => 'The network type is invalid for the DB instance. Valid nework type values are IPV4 and DUAL.
The details of an option.
', 'refs' => [ 'OptionsList$member' => NULL, ], ], 'OptionConfiguration' => [ 'base' => 'A list of all available options for an option group.
', 'refs' => [ 'OptionConfigurationList$member' => NULL, ], ], 'OptionConfigurationList' => [ 'base' => NULL, 'refs' => [ 'ModifyOptionGroupMessage$OptionsToInclude' => 'Options in this list are added to the option group or, if already present, the specified configuration is used to update the existing configuration.
', ], ], 'OptionGroup' => [ 'base' => '', 'refs' => [ 'CopyOptionGroupResult$OptionGroup' => NULL, 'CreateOptionGroupResult$OptionGroup' => NULL, 'ModifyOptionGroupResult$OptionGroup' => NULL, 'OptionGroupsList$member' => NULL, ], ], 'OptionGroupAlreadyExistsFault' => [ 'base' => 'The option group you are trying to create already exists.
', 'refs' => [], ], 'OptionGroupMembership' => [ 'base' => 'Provides information on the option groups the DB instance is a member of.
', 'refs' => [ 'OptionGroupMembershipList$member' => NULL, ], ], 'OptionGroupMembershipList' => [ 'base' => NULL, 'refs' => [ 'DBInstance$OptionGroupMemberships' => 'The list of option group memberships for this DB instance.
', ], ], 'OptionGroupNotFoundFault' => [ 'base' => 'The specified option group could not be found.
', 'refs' => [], ], 'OptionGroupOption' => [ 'base' => 'Available option.
', 'refs' => [ 'OptionGroupOptionsList$member' => NULL, ], ], 'OptionGroupOptionSetting' => [ 'base' => 'Option group option settings are used to display settings available for each option with their default values and other information. These values are used with the DescribeOptionGroupOptions action.
', 'refs' => [ 'OptionGroupOptionSettingsList$member' => NULL, ], ], 'OptionGroupOptionSettingsList' => [ 'base' => NULL, 'refs' => [ 'OptionGroupOption$OptionGroupOptionSettings' => 'The option settings that are available (and the default value) for each option in an option group.
', ], ], 'OptionGroupOptionVersionsList' => [ 'base' => NULL, 'refs' => [ 'OptionGroupOption$OptionGroupOptionVersions' => 'The versions that are available for the option.
', ], ], 'OptionGroupOptionsList' => [ 'base' => 'List of available option group options.
', 'refs' => [ 'OptionGroupOptionsMessage$OptionGroupOptions' => NULL, ], ], 'OptionGroupOptionsMessage' => [ 'base' => '', 'refs' => [], ], 'OptionGroupQuotaExceededFault' => [ 'base' => 'The quota of 20 option groups was exceeded for this Amazon Web Services account.
', 'refs' => [], ], 'OptionGroups' => [ 'base' => 'List of option groups.
', 'refs' => [], ], 'OptionGroupsList' => [ 'base' => NULL, 'refs' => [ 'OptionGroups$OptionGroupsList' => 'List of option groups.
', ], ], 'OptionNamesList' => [ 'base' => NULL, 'refs' => [ 'ModifyOptionGroupMessage$OptionsToRemove' => 'Options in this list are removed from the option group.
', ], ], 'OptionSetting' => [ 'base' => 'Option settings are the actual settings being applied or configured for that option. It is used when you modify an option group or describe option groups. For example, the NATIVE_NETWORK_ENCRYPTION option has a setting called SQLNET.ENCRYPTION_SERVER that can have several different values.
', 'refs' => [ 'OptionSettingConfigurationList$member' => NULL, 'OptionSettingsList$member' => NULL, ], ], 'OptionSettingConfigurationList' => [ 'base' => NULL, 'refs' => [ 'Option$OptionSettings' => 'The option settings for this option.
', ], ], 'OptionSettingsList' => [ 'base' => NULL, 'refs' => [ 'OptionConfiguration$OptionSettings' => 'The option settings to include in an option group.
', ], ], 'OptionVersion' => [ 'base' => 'The version for an option. Option group option versions are returned by the DescribeOptionGroupOptions action.
The options that conflict with this option.
', ], ], 'OptionsDependedOn' => [ 'base' => NULL, 'refs' => [ 'OptionGroupOption$OptionsDependedOn' => 'The options that are prerequisites for this option.
', ], ], 'OptionsList' => [ 'base' => NULL, 'refs' => [ 'OptionGroup$Options' => 'Indicates what options are available in the option group.
', ], ], 'OrderableDBInstanceOption' => [ 'base' => 'Contains a list of available options for a DB instance.
This data type is used as a response element in the DescribeOrderableDBInstanceOptions action.
An OrderableDBInstanceOption structure containing information about orderable options for the DB instance.
Contains the result of a successful invocation of the DescribeOrderableDBInstanceOptions action.
A data type that represents an Outpost.
For more information about RDS on Outposts, see Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
', 'refs' => [ 'Subnet$SubnetOutpost' => 'If the subnet is associated with an Outpost, this value specifies the Outpost.
For more information about RDS on Outposts, see Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
', ], ], 'Parameter' => [ 'base' => 'This data type is used as a request parameter in the ModifyDBParameterGroup and ResetDBParameterGroup actions.
This data type is used as a response element in the DescribeEngineDefaultParameters and DescribeDBParameters actions.
Provides a list of parameters for the DB cluster parameter group.
', 'DBParameterGroupDetails$Parameters' => 'A list of Parameter values.
Contains a list of engine default parameters.
', 'ModifyDBClusterParameterGroupMessage$Parameters' => 'A list of parameters in the DB cluster parameter group to modify.
Valid Values (for the application method): immediate | pending-reboot
You can use the immediate value with dynamic parameters only. You can use the pending-reboot value for both dynamic and static parameters.
When the application method is immediate, changes to dynamic parameters are applied immediately to the DB clusters associated with the parameter group. When the application method is pending-reboot, changes to dynamic and static parameters are applied after a reboot without failover to the DB clusters associated with the parameter group.
An array of parameter names, values, and the application methods for the parameter update. At least one parameter name, value, and application method must be supplied; later arguments are optional. A maximum of 20 parameters can be modified in a single request.
Valid Values (for the application method): immediate | pending-reboot
You can use the immediate value with dynamic parameters only. You can use the pending-reboot value for both dynamic and static parameters.
When the application method is immediate, changes to dynamic parameters are applied immediately to the DB instances associated with the parameter group.
When the application method is pending-reboot, changes to dynamic and static parameters are applied after a reboot without failover to the DB instances associated with the parameter group.
You can\'t use pending-reboot with dynamic parameters on RDS for SQL Server DB instances. Use immediate.
For more information on modifying DB parameters, see Working with DB parameter groups in the Amazon RDS User Guide.
', 'ResetDBClusterParameterGroupMessage$Parameters' => 'A list of parameter names in the DB cluster parameter group to reset to the default values. You can\'t use this parameter if the ResetAllParameters parameter is enabled.
To reset the entire DB parameter group, specify the DBParameterGroup name and ResetAllParameters parameters. To reset specific parameters, provide a list of the following: ParameterName and ApplyMethod. A maximum of 20 parameters can be modified in a single request.
MySQL
Valid Values (for Apply method): immediate | pending-reboot
You can use the immediate value with dynamic parameters only. You can use the pending-reboot value for both dynamic and static parameters, and changes are applied when DB instance reboots.
MariaDB
Valid Values (for Apply method): immediate | pending-reboot
You can use the immediate value with dynamic parameters only. You can use the pending-reboot value for both dynamic and static parameters, and changes are applied when DB instance reboots.
Oracle
Valid Values (for Apply method): pending-reboot
A list of the log types whose configuration is still pending. In other words, these log types are in the process of being activated or deactivated.
', 'refs' => [ 'ClusterPendingModifiedValues$PendingCloudwatchLogsExports' => NULL, 'PendingModifiedValues$PendingCloudwatchLogsExports' => NULL, ], ], 'PendingMaintenanceAction' => [ 'base' => 'Provides information about a pending maintenance action for a resource.
', 'refs' => [ 'PendingMaintenanceActionDetails$member' => NULL, ], ], 'PendingMaintenanceActionDetails' => [ 'base' => NULL, 'refs' => [ 'ResourcePendingMaintenanceActions$PendingMaintenanceActionDetails' => 'A list that provides details about the pending maintenance actions for the resource.
', ], ], 'PendingMaintenanceActions' => [ 'base' => NULL, 'refs' => [ 'PendingMaintenanceActionsMessage$PendingMaintenanceActions' => 'A list of the pending maintenance actions for the resource.
', ], ], 'PendingMaintenanceActionsMessage' => [ 'base' => 'Data returned from the DescribePendingMaintenanceActions action.
', 'refs' => [], ], 'PendingModifiedValues' => [ 'base' => 'This data type is used as a response element in the ModifyDBInstance operation and contains changes that will be applied during the next maintenance window.
Information about pending changes to the DB instance. This information is returned only when there are pending changes. Specific changes are identified by subelements.
', ], ], 'PerformanceInsightsMetricDimensionGroup' => [ 'base' => 'A logical grouping of Performance Insights metrics for a related subject area. For example, the db.sql dimension group consists of the following dimensions:
db.sql.id - The hash of a running SQL statement, generated by Performance Insights.
db.sql.db_id - Either the SQL ID generated by the database engine, or a value generated by Performance Insights that begins with pi-.
db.sql.statement - The full text of the SQL statement that is running, for example, SELECT * FROM employees.
db.sql_tokenized.id - The hash of the SQL digest generated by Performance Insights.
Each response element returns a maximum of 500 bytes. For larger elements, such as SQL statements, only the first 500 bytes are returned.
A specification for how to aggregate the data points from a query result. You must specify a valid dimension group. Performance Insights will return all of the dimensions within that group, unless you provide the names of specific dimensions within that group. You can also request that Performance Insights return a limited number of values for a dimension.
', ], ], 'PerformanceInsightsMetricQuery' => [ 'base' => 'A single Performance Insights metric query to process. You must provide the metric to the query. If other parameters aren\'t specified, Performance Insights returns all data points for the specified metric. Optionally, you can request the data points to be aggregated by dimension group (GroupBy) and return only those data points that match your criteria (Filter).
Constraints:
Must be a valid Performance Insights query.
The Performance Insights query that you can use to retrieve Performance Insights metric data points.
', ], ], 'PerformanceIssueDetails' => [ 'base' => 'Details of the performance issue.
', 'refs' => [ 'IssueDetails$PerformanceIssueDetails' => 'A detailed description of the issue when the recommendation category is performance.
SourceDBInstanceIdentifier refers to a DB instance with BackupRetentionPeriod equal to 0.
Contains the processor features of a DB instance class.
To specify the number of CPU cores, use the coreCount feature name for the Name parameter. To specify the number of threads per core, use the threadsPerCore feature name for the Name parameter.
You can set the processor features of the DB instance class for a DB instance when you call one of the following actions:
CreateDBInstance
ModifyDBInstance
RestoreDBInstanceFromDBSnapshot
RestoreDBInstanceFromS3
RestoreDBInstanceToPointInTime
You can view the valid processor values for a particular instance class by calling the DescribeOrderableDBInstanceOptions action and specifying the instance class for the DBInstanceClass parameter.
In addition, you can use the following actions for DB instance class processor information:
DescribeDBInstances
DescribeDBSnapshots
DescribeValidDBInstanceModifications
If you call DescribeDBInstances, ProcessorFeature returns non-null values only if the following conditions are met:
You are accessing an Oracle DB instance.
Your Oracle DB instance class supports configuring the number of CPU cores and threads per core.
The current number CPU cores and threads is set to a non-default value.
For more information, see Configuring the processor for a DB instance class in RDS for Oracle in the Amazon RDS User Guide.
', 'refs' => [ 'ProcessorFeatureList$member' => NULL, ], ], 'ProcessorFeatureList' => [ 'base' => NULL, 'refs' => [ 'CreateDBInstanceMessage$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance.
This setting doesn\'t apply to RDS Custom DB instances.
', 'DBInstance$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance.
', 'DBSnapshot$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance when the DB snapshot was created.
', 'ModifyDBInstanceMessage$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance.
This setting doesn\'t apply to RDS Custom DB instances.
', 'PendingModifiedValues$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance.
', 'RestoreDBInstanceFromDBSnapshotMessage$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceFromS3Message$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance.
', 'RestoreDBInstanceToPointInTimeMessage$ProcessorFeatures' => 'The number of CPU cores and the number of threads per core for the DB instance class of the DB instance.
This setting doesn\'t apply to RDS Custom.
', ], ], 'PromoteReadReplicaDBClusterMessage' => [ 'base' => '', 'refs' => [], ], 'PromoteReadReplicaDBClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'PromoteReadReplicaMessage' => [ 'base' => '', 'refs' => [], ], 'PromoteReadReplicaResult' => [ 'base' => NULL, 'refs' => [], ], 'ProvisionedIopsNotAvailableInAZFault' => [ 'base' => 'Provisioned IOPS not available in the specified Availability Zone.
', 'refs' => [], ], 'PurchaseReservedDBInstancesOfferingMessage' => [ 'base' => '', 'refs' => [], ], 'PurchaseReservedDBInstancesOfferingResult' => [ 'base' => NULL, 'refs' => [], ], 'Range' => [ 'base' => 'A range of integer values.
', 'refs' => [ 'RangeList$member' => NULL, ], ], 'RangeList' => [ 'base' => NULL, 'refs' => [ 'ValidStorageOptions$StorageSize' => 'The valid range of storage in gibibytes (GiB). For example, 100 to 16,384.
', 'ValidStorageOptions$ProvisionedIops' => 'The valid range of provisioned IOPS. For example, 1000-256,000.
', 'ValidStorageOptions$ProvisionedStorageThroughput' => 'The valid range of provisioned storage throughput. For example, 500-4,000 mebibytes per second (MiBps).
', ], ], 'RdsCustomClusterConfiguration' => [ 'base' => 'Reserved for future use.
', 'refs' => [ 'ClusterPendingModifiedValues$RdsCustomClusterConfiguration' => 'Reserved for future use.
', 'CreateDBClusterMessage$RdsCustomClusterConfiguration' => 'Reserved for future use.
', 'DBCluster$RdsCustomClusterConfiguration' => 'Reserved for future use.
', 'RestoreDBClusterFromSnapshotMessage$RdsCustomClusterConfiguration' => 'Reserved for future use.
', 'RestoreDBClusterToPointInTimeMessage$RdsCustomClusterConfiguration' => 'Reserved for future use.
', ], ], 'ReadReplicaDBClusterIdentifierList' => [ 'base' => NULL, 'refs' => [ 'DBInstance$ReadReplicaDBClusterIdentifiers' => 'The identifiers of Aurora DB clusters to which the RDS DB instance is replicated as a read replica. For example, when you create an Aurora read replica of an RDS for MySQL DB instance, the Aurora MySQL DB cluster for the Aurora read replica is shown. This output doesn\'t contain information about cross-Region Aurora read replicas.
Currently, each RDS DB instance can have only one Aurora read replica.
The identifiers of the read replicas associated with this DB instance.
', ], ], 'ReadReplicaIdentifierList' => [ 'base' => NULL, 'refs' => [ 'DBCluster$ReadReplicaIdentifiers' => 'Contains one or more identifiers of the read replicas associated with this DB cluster.
', ], ], 'ReadersArnList' => [ 'base' => NULL, 'refs' => [ 'GlobalClusterMember$Readers' => 'The Amazon Resource Name (ARN) for each read-only secondary cluster associated with the global cluster.
', ], ], 'RebootDBClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'RebootDBClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'RebootDBInstanceMessage' => [ 'base' => '', 'refs' => [], ], 'RebootDBInstanceResult' => [ 'base' => NULL, 'refs' => [], ], 'RebootDBShardGroupMessage' => [ 'base' => NULL, 'refs' => [], ], 'RecommendedAction' => [ 'base' => 'The recommended actions to apply to resolve the issues associated with your DB instances, DB clusters, and DB parameter groups.
', 'refs' => [ 'RecommendedActionList$member' => NULL, ], ], 'RecommendedActionList' => [ 'base' => NULL, 'refs' => [ 'DBRecommendation$RecommendedActions' => 'A list of recommended actions.
', ], ], 'RecommendedActionParameter' => [ 'base' => 'A single parameter to use with the RecommendedAction API operation to apply the action.
The parameters for the API operation.
', ], ], 'RecommendedActionUpdate' => [ 'base' => 'The recommended status to update for the specified recommendation action ID.
', 'refs' => [ 'RecommendedActionUpdateList$member' => NULL, ], ], 'RecommendedActionUpdateList' => [ 'base' => NULL, 'refs' => [ 'ModifyDBRecommendationMessage$RecommendedActionUpdates' => 'The list of recommended action status to update. You can update multiple recommended actions at one time.
', ], ], 'RecurringCharge' => [ 'base' => 'This data type is used as a response element in the DescribeReservedDBInstances and DescribeReservedDBInstancesOfferings actions.
The recurring price charged to run this reserved DB instance.
', 'ReservedDBInstancesOffering$RecurringCharges' => 'The recurring price charged to run this reserved DB instance.
', ], ], 'ReferenceDetails' => [ 'base' => 'The reference details of a metric.
', 'refs' => [ 'MetricReference$ReferenceDetails' => 'The details of a performance issue.
', ], ], 'RegisterDBProxyTargetsRequest' => [ 'base' => NULL, 'refs' => [], ], 'RegisterDBProxyTargetsResponse' => [ 'base' => NULL, 'refs' => [], ], 'RemoveFromGlobalClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'RemoveFromGlobalClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'RemoveRoleFromDBClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'RemoveRoleFromDBInstanceMessage' => [ 'base' => NULL, 'refs' => [], ], 'RemoveSourceIdentifierFromSubscriptionMessage' => [ 'base' => '', 'refs' => [], ], 'RemoveSourceIdentifierFromSubscriptionResult' => [ 'base' => NULL, 'refs' => [], ], 'RemoveTagsFromResourceMessage' => [ 'base' => '', 'refs' => [], ], 'ReplicaMode' => [ 'base' => NULL, 'refs' => [ 'CreateDBInstanceReadReplicaMessage$ReplicaMode' => 'The open mode of the replica database: mounted or read-only.
This parameter is only supported for Oracle DB instances.
Mounted DB replicas are included in Oracle Database Enterprise Edition. The main use case for mounted replicas is cross-Region disaster recovery. The primary database doesn\'t use Active Data Guard to transmit information to the mounted replica. Because it doesn\'t accept user connections, a mounted replica can\'t serve a read-only workload.
You can create a combination of mounted and read-only DB replicas for the same primary DB instance. For more information, see Working with Oracle Read Replicas for Amazon RDS in the Amazon RDS User Guide.
For RDS Custom, you must specify this parameter and set it to mounted. The value won\'t be set by default. After replica creation, you can manage the open mode manually.
The open mode of an Oracle read replica. The default is open-read-only. For more information, see Working with Oracle Read Replicas for Amazon RDS in the Amazon RDS User Guide.
This attribute is only supported in RDS for Oracle.
A value that sets the open mode of a replica database to either mounted or read-only.
Currently, this parameter is only supported for Oracle DB instances.
Mounted DB replicas are included in Oracle Enterprise Edition. The main use case for mounted replicas is cross-Region disaster recovery. The primary database doesn\'t use Active Data Guard to transmit information to the mounted replica. Because it doesn\'t accept user connections, a mounted replica can\'t serve a read-only workload. For more information, see Working with Oracle Read Replicas for Amazon RDS in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'RdsCustomClusterConfiguration$ReplicaMode' => 'Reserved for future use.
', ], ], 'ReservedDBInstance' => [ 'base' => 'This data type is used as a response element in the DescribeReservedDBInstances and PurchaseReservedDBInstancesOffering actions.
User already has a reservation with the given identifier.
', 'refs' => [], ], 'ReservedDBInstanceList' => [ 'base' => NULL, 'refs' => [ 'ReservedDBInstanceMessage$ReservedDBInstances' => 'A list of reserved DB instances.
', ], ], 'ReservedDBInstanceMessage' => [ 'base' => 'Contains the result of a successful invocation of the DescribeReservedDBInstances action.
The specified reserved DB Instance not found.
', 'refs' => [], ], 'ReservedDBInstanceQuotaExceededFault' => [ 'base' => 'Request would exceed the user\'s DB Instance quota.
', 'refs' => [], ], 'ReservedDBInstancesOffering' => [ 'base' => 'This data type is used as a response element in the DescribeReservedDBInstancesOfferings action.
A list of reserved DB instance offerings.
', ], ], 'ReservedDBInstancesOfferingMessage' => [ 'base' => 'Contains the result of a successful invocation of the DescribeReservedDBInstancesOfferings action.
Specified offering does not exist.
', 'refs' => [], ], 'ResetDBClusterParameterGroupMessage' => [ 'base' => '', 'refs' => [], ], 'ResetDBParameterGroupMessage' => [ 'base' => '', 'refs' => [], ], 'ResourceNotFoundFault' => [ 'base' => 'The specified resource ID was not found.
', 'refs' => [], ], 'ResourcePendingMaintenanceActions' => [ 'base' => 'Describes the pending maintenance actions for a resource.
', 'refs' => [ 'ApplyPendingMaintenanceActionResult$ResourcePendingMaintenanceActions' => NULL, 'PendingMaintenanceActions$member' => NULL, ], ], 'RestoreDBClusterFromS3Message' => [ 'base' => NULL, 'refs' => [], ], 'RestoreDBClusterFromS3Result' => [ 'base' => NULL, 'refs' => [], ], 'RestoreDBClusterFromSnapshotMessage' => [ 'base' => '', 'refs' => [], ], 'RestoreDBClusterFromSnapshotResult' => [ 'base' => NULL, 'refs' => [], ], 'RestoreDBClusterToPointInTimeMessage' => [ 'base' => '', 'refs' => [], ], 'RestoreDBClusterToPointInTimeResult' => [ 'base' => NULL, 'refs' => [], ], 'RestoreDBInstanceFromDBSnapshotMessage' => [ 'base' => '', 'refs' => [], ], 'RestoreDBInstanceFromDBSnapshotResult' => [ 'base' => NULL, 'refs' => [], ], 'RestoreDBInstanceFromS3Message' => [ 'base' => NULL, 'refs' => [], ], 'RestoreDBInstanceFromS3Result' => [ 'base' => NULL, 'refs' => [], ], 'RestoreDBInstanceToPointInTimeMessage' => [ 'base' => '', 'refs' => [], ], 'RestoreDBInstanceToPointInTimeResult' => [ 'base' => NULL, 'refs' => [], ], 'RestoreWindow' => [ 'base' => 'Earliest and latest time an instance can be restored to:
', 'refs' => [ 'DBClusterAutomatedBackup$RestoreWindow' => NULL, 'DBInstanceAutomatedBackup$RestoreWindow' => 'The earliest and latest time a DB instance can be restored to.
', ], ], 'RevokeDBSecurityGroupIngressMessage' => [ 'base' => '', 'refs' => [], ], 'RevokeDBSecurityGroupIngressResult' => [ 'base' => NULL, 'refs' => [], ], 'SNSInvalidTopicFault' => [ 'base' => 'SNS has responded that there is a problem with the SNS topic specified.
', 'refs' => [], ], 'SNSNoAuthorizationFault' => [ 'base' => 'You do not have permission to publish to the SNS topic ARN.
', 'refs' => [], ], 'SNSTopicArnNotFoundFault' => [ 'base' => 'The SNS topic ARN does not exist.
', 'refs' => [], ], 'ScalarReferenceDetails' => [ 'base' => 'The metric reference details when the reference is a scalar.
', 'refs' => [ 'ReferenceDetails$ScalarReferenceDetails' => 'The metric reference details when the reference is a scalar.
', ], ], 'ScalingConfiguration' => [ 'base' => 'Contains the scaling configuration of an Aurora Serverless v1 DB cluster.
For more information, see Using Amazon Aurora Serverless v1 in the Amazon Aurora User Guide.
', 'refs' => [ 'CreateDBClusterMessage$ScalingConfiguration' => 'For DB clusters in serverless DB engine mode, the scaling properties of the DB cluster.
Valid for Cluster Type: Aurora DB clusters only
', 'ModifyDBClusterMessage$ScalingConfiguration' => 'The scaling properties of the DB cluster. You can only modify scaling properties for DB clusters in serverless DB engine mode.
Valid for Cluster Type: Aurora DB clusters only
', 'RestoreDBClusterFromSnapshotMessage$ScalingConfiguration' => 'For DB clusters in serverless DB engine mode, the scaling properties of the DB cluster.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$ScalingConfiguration' => 'For DB clusters in serverless DB engine mode, the scaling properties of the DB cluster.
Valid for: Aurora DB clusters only
', ], ], 'ScalingConfigurationInfo' => [ 'base' => 'The scaling configuration for an Aurora DB cluster in serverless DB engine mode.
For more information, see Using Amazon Aurora Serverless v1 in the Amazon Aurora User Guide.
', 'refs' => [ 'DBCluster$ScalingConfigurationInfo' => NULL, ], ], 'SensitiveString' => [ 'base' => NULL, 'refs' => [ 'CreateTenantDatabaseMessage$MasterUserPassword' => 'The password for the master user in your tenant database.
Constraints:
Must be 8 to 30 characters.
Can include any printable ASCII character except forward slash (/), double quote ("), at symbol (@), ampersand (&), or single quote (\').
The new password for the master user of the specified tenant database in your DB instance.
Amazon RDS operations never return the password, so this action provides a way to regain access to a tenant database user if the password is lost. This includes restoring privileges that might have been accidentally revoked.
Constraints:
Can include any printable ASCII character except /, " (double quote), @, & (ampersand), and \' (single quote).
Length constraints:
Must contain between 8 and 30 characters.
The master password for the tenant database.
', ], ], 'ServerlessV2FeaturesSupport' => [ 'base' => 'Specifies any Aurora Serverless v2 properties or limits that differ between Aurora engine versions. You can test the values of this attribute when deciding which Aurora version to use in a new or upgraded DB cluster. You can also retrieve the version of an existing DB cluster and check whether that version supports certain Aurora Serverless v2 features before you attempt to use those features.
', 'refs' => [ 'DBEngineVersion$ServerlessV2FeaturesSupport' => 'Specifies any Aurora Serverless v2 properties or limits that differ between Aurora engine versions. You can test the values of this attribute when deciding which Aurora version to use in a new or upgraded DB cluster. You can also retrieve the version of an existing DB cluster and check whether that version supports certain Aurora Serverless v2 features before you attempt to use those features.
', ], ], 'ServerlessV2ScalingConfiguration' => [ 'base' => 'Contains the scaling configuration of an Aurora Serverless v2 DB cluster.
For more information, see Using Amazon Aurora Serverless v2 in the Amazon Aurora User Guide.
', 'refs' => [ 'CreateDBClusterMessage$ServerlessV2ScalingConfiguration' => NULL, 'ModifyDBClusterMessage$ServerlessV2ScalingConfiguration' => NULL, 'RestoreDBClusterFromS3Message$ServerlessV2ScalingConfiguration' => NULL, 'RestoreDBClusterFromSnapshotMessage$ServerlessV2ScalingConfiguration' => NULL, 'RestoreDBClusterToPointInTimeMessage$ServerlessV2ScalingConfiguration' => NULL, ], ], 'ServerlessV2ScalingConfigurationInfo' => [ 'base' => 'The scaling configuration for an Aurora Serverless v2 DB cluster.
For more information, see Using Amazon Aurora Serverless v2 in the Amazon Aurora User Guide.
', 'refs' => [ 'DBCluster$ServerlessV2ScalingConfiguration' => NULL, ], ], 'SharedSnapshotQuotaExceededFault' => [ 'base' => 'You have exceeded the maximum number of accounts that you can share a manual DB snapshot with.
', 'refs' => [], ], 'SnapshotQuotaExceededFault' => [ 'base' => 'The request would result in the user exceeding the allowed number of DB snapshots.
', 'refs' => [], ], 'SourceArn' => [ 'base' => NULL, 'refs' => [ 'CreateIntegrationMessage$SourceArn' => 'The Amazon Resource Name (ARN) of the database to use as the source for replication.
', 'Integration$SourceArn' => 'The Amazon Resource Name (ARN) of the database used as the source for replication.
', ], ], 'SourceClusterNotSupportedFault' => [ 'base' => 'The source DB cluster isn\'t supported for a blue/green deployment.
', 'refs' => [], ], 'SourceDatabaseNotSupportedFault' => [ 'base' => 'The source DB instance isn\'t supported for a blue/green deployment.
', 'refs' => [], ], 'SourceIdsList' => [ 'base' => NULL, 'refs' => [ 'CreateEventSubscriptionMessage$SourceIds' => 'The list of identifiers of the event sources for which events are returned. If not specified, then all sources are included in the response. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens. It can\'t end with a hyphen or contain two consecutive hyphens.
Constraints:
If SourceIds are supplied, SourceType must also be provided.
If the source type is a DB instance, a DBInstanceIdentifier value must be supplied.
If the source type is a DB cluster, a DBClusterIdentifier value must be supplied.
If the source type is a DB parameter group, a DBParameterGroupName value must be supplied.
If the source type is a DB security group, a DBSecurityGroupName value must be supplied.
If the source type is a DB snapshot, a DBSnapshotIdentifier value must be supplied.
If the source type is a DB cluster snapshot, a DBClusterSnapshotIdentifier value must be supplied.
If the source type is an RDS Proxy, a DBProxyName value must be supplied.
A list of source IDs for the RDS event notification subscription.
', ], ], 'SourceNotFoundFault' => [ 'base' => 'The requested source could not be found.
', 'refs' => [], ], 'SourceRegion' => [ 'base' => 'Contains an Amazon Web Services Region name as the result of a successful call to the DescribeSourceRegions action.
A list of SourceRegion instances that contains each source Amazon Web Services Region that the current Amazon Web Services Region can get a read replica or a DB snapshot from.
Contains the result of a successful invocation of the DescribeSourceRegions action.
The event source to retrieve events for. If no value is specified, all events are returned.
', 'Event$SourceType' => 'Specifies the source type for this event.
', ], ], 'StartActivityStreamRequest' => [ 'base' => NULL, 'refs' => [], ], 'StartActivityStreamResponse' => [ 'base' => NULL, 'refs' => [], ], 'StartDBClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'StartDBClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'StartDBInstanceAutomatedBackupsReplicationMessage' => [ 'base' => NULL, 'refs' => [], ], 'StartDBInstanceAutomatedBackupsReplicationResult' => [ 'base' => NULL, 'refs' => [], ], 'StartDBInstanceMessage' => [ 'base' => NULL, 'refs' => [], ], 'StartDBInstanceResult' => [ 'base' => NULL, 'refs' => [], ], 'StartExportTaskMessage' => [ 'base' => NULL, 'refs' => [], ], 'StopActivityStreamRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopActivityStreamResponse' => [ 'base' => NULL, 'refs' => [], ], 'StopDBClusterMessage' => [ 'base' => NULL, 'refs' => [], ], 'StopDBClusterResult' => [ 'base' => NULL, 'refs' => [], ], 'StopDBInstanceAutomatedBackupsReplicationMessage' => [ 'base' => NULL, 'refs' => [], ], 'StopDBInstanceAutomatedBackupsReplicationResult' => [ 'base' => NULL, 'refs' => [], ], 'StopDBInstanceMessage' => [ 'base' => NULL, 'refs' => [], ], 'StopDBInstanceResult' => [ 'base' => NULL, 'refs' => [], ], 'StorageQuotaExceededFault' => [ 'base' => 'The request would result in the user exceeding the allowed amount of storage available across all DB instances.
', 'refs' => [], ], 'StorageTypeNotAvailableFault' => [ 'base' => 'The aurora-iopt1 storage type isn\'t available, because you modified the DB cluster to use this storage type less than one month ago.
The specified StorageType can\'t be associated with the DB instance.
The name of the Amazon RDS quota for this Amazon Web Services account.
', 'ActivityStreamModeList$member' => NULL, 'AddRoleToDBClusterMessage$DBClusterIdentifier' => 'The name of the DB cluster to associate the IAM role with.
', 'AddRoleToDBClusterMessage$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role to associate with the Aurora DB cluster, for example arn:aws:iam::123456789012:role/AuroraAccessRole.
The name of the feature for the DB cluster that the IAM role is to be associated with. For information about supported feature names, see DBEngineVersion.
', 'AddRoleToDBInstanceMessage$DBInstanceIdentifier' => 'The name of the DB instance to associate the IAM role with.
', 'AddRoleToDBInstanceMessage$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role to associate with the DB instance, for example arn:aws:iam::123456789012:role/AccessRole.
The name of the feature for the DB instance that the IAM role is to be associated with. For information about supported feature names, see DBEngineVersion.
', 'AddSourceIdentifierToSubscriptionMessage$SubscriptionName' => 'The name of the RDS event notification subscription you want to add a source identifier to.
', 'AddSourceIdentifierToSubscriptionMessage$SourceIdentifier' => 'The identifier of the event source to be added.
Constraints:
If the source type is a DB instance, a DBInstanceIdentifier value must be supplied.
If the source type is a DB cluster, a DBClusterIdentifier value must be supplied.
If the source type is a DB parameter group, a DBParameterGroupName value must be supplied.
If the source type is a DB security group, a DBSecurityGroupName value must be supplied.
If the source type is a DB snapshot, a DBSnapshotIdentifier value must be supplied.
If the source type is a DB cluster snapshot, a DBClusterSnapshotIdentifier value must be supplied.
If the source type is an RDS Proxy, a DBProxyName value must be supplied.
The Amazon RDS resource that the tags are added to. This value is an Amazon Resource Name (ARN). For information about creating an ARN, see Constructing an RDS Amazon Resource Name (ARN).
', 'ApplyPendingMaintenanceActionMessage$ResourceIdentifier' => 'The RDS Amazon Resource Name (ARN) of the resource that the pending maintenance action applies to. For information about creating an ARN, see Constructing an RDS Amazon Resource Name (ARN).
', 'ApplyPendingMaintenanceActionMessage$ApplyAction' => 'The pending maintenance action to apply to this resource.
Valid Values:
ca-certificate-rotation
db-upgrade
hardware-maintenance
os-upgrade
system-update
For more information about these actions, see Maintenance actions for Amazon Aurora or Maintenance actions for Amazon RDS.
', 'ApplyPendingMaintenanceActionMessage$OptInType' => 'A value that specifies the type of opt-in request, or undoes an opt-in request. An opt-in request of type immediate can\'t be undone.
Valid Values:
immediate - Apply the maintenance action immediately.
next-maintenance - Apply the maintenance action during the next maintenance window for the resource.
undo-opt-in - Cancel any existing next-maintenance opt-in requests.
The name of the DB security group to add authorization to.
', 'AuthorizeDBSecurityGroupIngressMessage$CIDRIP' => 'The IP range to authorize.
', 'AuthorizeDBSecurityGroupIngressMessage$EC2SecurityGroupName' => 'Name of the EC2 security group to authorize. For VPC DB security groups, EC2SecurityGroupId must be provided. Otherwise, EC2SecurityGroupOwnerId and either EC2SecurityGroupName or EC2SecurityGroupId must be provided.
Id of the EC2 security group to authorize. For VPC DB security groups, EC2SecurityGroupId must be provided. Otherwise, EC2SecurityGroupOwnerId and either EC2SecurityGroupName or EC2SecurityGroupId must be provided.
Amazon Web Services account number of the owner of the EC2 security group specified in the EC2SecurityGroupName parameter. The Amazon Web Services access key ID isn\'t an acceptable value. For VPC DB security groups, EC2SecurityGroupId must be provided. Otherwise, EC2SecurityGroupOwnerId and either EC2SecurityGroupName or EC2SecurityGroupId must be provided.
The name of the Availability Zone.
', 'AvailabilityZones$member' => NULL, 'AvailableProcessorFeature$Name' => 'The name of the processor feature. Valid names are coreCount and threadsPerCore.
The default value for the processor feature of the DB instance class.
', 'AvailableProcessorFeature$AllowedValues' => 'The allowed values for the processor feature of the DB instance class.
', 'BacktrackDBClusterMessage$DBClusterIdentifier' => 'The DB cluster identifier of the DB cluster to be backtracked. This parameter is stored as a lowercase string.
Constraints:
Must contain from 1 to 63 alphanumeric characters or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-cluster1
The identifier of the snapshot or cluster export task to cancel.
', 'Certificate$CertificateIdentifier' => 'The unique key that identifies a certificate.
', 'Certificate$CertificateType' => 'The type of the certificate.
', 'Certificate$Thumbprint' => 'The thumbprint of the certificate.
', 'Certificate$CertificateArn' => 'The Amazon Resource Name (ARN) for the certificate.
', 'CertificateDetails$CAIdentifier' => 'The CA identifier of the CA certificate used for the DB instance\'s server certificate.
', 'CertificateMessage$DefaultCertificateForNewLaunches' => 'The default root CA for new databases created by your Amazon Web Services account. This is either the root CA override set on your Amazon Web Services account or the system default CA for the Region if no override exists. To override the default CA, use the ModifyCertificates operation.
An optional pagination token provided by a previous DescribeCertificates request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords .
The name of the character set.
', 'CharacterSet$CharacterSetDescription' => 'The description of the character set.
', 'ClusterPendingModifiedValues$DBClusterIdentifier' => 'The DBClusterIdentifier value for the DB cluster.
', 'ClusterPendingModifiedValues$MasterUserPassword' => 'The master credentials for the DB cluster.
', 'ClusterPendingModifiedValues$EngineVersion' => 'The database engine version.
', 'ClusterPendingModifiedValues$StorageType' => 'The storage type for the DB cluster.
', 'ConnectionPoolConfiguration$InitQuery' => 'One or more SQL statements for the proxy to run when opening each new database connection. Typically used with SET statements to make sure that each connection has identical settings such as time zone and character set. For multiple statements, use semicolons as the separator. You can also include multiple variables in a single SET statement, such as SET x=1, y=2.
Default: no initialization query
', 'ConnectionPoolConfigurationInfo$InitQuery' => 'One or more SQL statements for the proxy to run when opening each new database connection. Typically used with SET statements to make sure that each connection has identical settings such as time zone and character set. This setting is empty by default. For multiple statements, use semicolons as the separator. You can also include multiple variables in a single SET statement, such as SET x=1, y=2.
The key of ContextAttribute.
The value of ContextAttribute.
The identifier or Amazon Resource Name (ARN) for the source DB cluster parameter group. For information about creating an ARN, see Constructing an ARN for Amazon RDS in the Amazon Aurora User Guide.
Constraints:
Must specify a valid DB cluster parameter group.
The identifier for the copied DB cluster parameter group.
Constraints:
Can\'t be null, empty, or blank
Must contain from 1 to 255 letters, numbers, or hyphens
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Example: my-cluster-param-group1
A description for the copied DB cluster parameter group.
', 'CopyDBClusterSnapshotMessage$SourceDBClusterSnapshotIdentifier' => 'The identifier of the DB cluster snapshot to copy. This parameter isn\'t case-sensitive.
You can\'t copy an encrypted, shared DB cluster snapshot from one Amazon Web Services Region to another.
Constraints:
Must specify a valid system snapshot in the "available" state.
If the source snapshot is in the same Amazon Web Services Region as the copy, specify a valid DB snapshot identifier.
If the source snapshot is in a different Amazon Web Services Region than the copy, specify a valid DB cluster snapshot ARN. For more information, go to Copying Snapshots Across Amazon Web Services Regions in the Amazon Aurora User Guide.
Example: my-cluster-snapshot1
The identifier of the new DB cluster snapshot to create from the source DB cluster snapshot. This parameter isn\'t case-sensitive.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-cluster-snapshot2
The Amazon Web Services KMS key identifier for an encrypted DB cluster snapshot. The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the Amazon Web Services KMS key.
If you copy an encrypted DB cluster snapshot from your Amazon Web Services account, you can specify a value for KmsKeyId to encrypt the copy with a new KMS key. If you don\'t specify a value for KmsKeyId, then the copy of the DB cluster snapshot is encrypted with the same KMS key as the source DB cluster snapshot.
If you copy an encrypted DB cluster snapshot that is shared from another Amazon Web Services account, then you must specify a value for KmsKeyId.
To copy an encrypted DB cluster snapshot to another Amazon Web Services Region, you must set KmsKeyId to the Amazon Web Services KMS key identifier you want to use to encrypt the copy of the DB cluster snapshot in the destination Amazon Web Services Region. KMS keys are specific to the Amazon Web Services Region that they are created in, and you can\'t use KMS keys from one Amazon Web Services Region in another Amazon Web Services Region.
If you copy an unencrypted DB cluster snapshot and specify a value for the KmsKeyId parameter, an error is returned.
When you are copying a DB cluster snapshot from one Amazon Web Services GovCloud (US) Region to another, the URL that contains a Signature Version 4 signed request for the CopyDBClusterSnapshot API operation in the Amazon Web Services Region that contains the source DB cluster snapshot to copy. Use the PreSignedUrl parameter when copying an encrypted DB cluster snapshot from another Amazon Web Services Region. Don\'t specify PreSignedUrl when copying an encrypted DB cluster snapshot in the same Amazon Web Services Region.
This setting applies only to Amazon Web Services GovCloud (US) Regions. It\'s ignored in other Amazon Web Services Regions.
The presigned URL must be a valid request for the CopyDBClusterSnapshot API operation that can run in the source Amazon Web Services Region that contains the encrypted DB cluster snapshot to copy. The presigned URL request must contain the following parameter values:
KmsKeyId - The KMS key identifier for the KMS key to use to encrypt the copy of the DB cluster snapshot in the destination Amazon Web Services Region. This is the same identifier for both the CopyDBClusterSnapshot operation that is called in the destination Amazon Web Services Region, and the operation contained in the presigned URL.
DestinationRegion - The name of the Amazon Web Services Region that the DB cluster snapshot is to be created in.
SourceDBClusterSnapshotIdentifier - The DB cluster snapshot identifier for the encrypted DB cluster snapshot to be copied. This identifier must be in the Amazon Resource Name (ARN) format for the source Amazon Web Services Region. For example, if you are copying an encrypted DB cluster snapshot from the us-west-2 Amazon Web Services Region, then your SourceDBClusterSnapshotIdentifier looks like the following example: arn:aws:rds:us-west-2:123456789012:cluster-snapshot:aurora-cluster1-snapshot-20161115.
To learn how to generate a Signature Version 4 signed request, see Authenticating Requests: Using Query Parameters (Amazon Web Services Signature Version 4) and Signature Version 4 Signing Process.
If you are using an Amazon Web Services SDK tool or the CLI, you can specify SourceRegion (or --source-region for the CLI) instead of specifying PreSignedUrl manually. Specifying SourceRegion autogenerates a presigned URL that is a valid request for the operation that can run in the source Amazon Web Services Region.
The identifier or ARN for the source DB parameter group. For information about creating an ARN, see Constructing an ARN for Amazon RDS in the Amazon RDS User Guide.
Constraints:
Must specify a valid DB parameter group.
The identifier for the copied DB parameter group.
Constraints:
Can\'t be null, empty, or blank
Must contain from 1 to 255 letters, numbers, or hyphens
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Example: my-db-parameter-group
A description for the copied DB parameter group.
', 'CopyDBSnapshotMessage$SourceDBSnapshotIdentifier' => 'The identifier for the source DB snapshot.
If the source snapshot is in the same Amazon Web Services Region as the copy, specify a valid DB snapshot identifier. For example, you might specify rds:mysql-instance1-snapshot-20130805.
If the source snapshot is in a different Amazon Web Services Region than the copy, specify a valid DB snapshot ARN. For example, you might specify arn:aws:rds:us-west-2:123456789012:snapshot:mysql-instance1-snapshot-20130805.
If you are copying from a shared manual DB snapshot, this parameter must be the Amazon Resource Name (ARN) of the shared DB snapshot.
If you are copying an encrypted snapshot this parameter must be in the ARN format for the source Amazon Web Services Region.
Constraints:
Must specify a valid system snapshot in the "available" state.
Example: rds:mydb-2012-04-02-00-01
Example: arn:aws:rds:us-west-2:123456789012:snapshot:mysql-instance1-snapshot-20130805
The identifier for the copy of the snapshot.
Constraints:
Can\'t be null, empty, or blank
Must contain from 1 to 255 letters, numbers, or hyphens
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Example: my-db-snapshot
The Amazon Web Services KMS key identifier for an encrypted DB snapshot. The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you copy an encrypted DB snapshot from your Amazon Web Services account, you can specify a value for this parameter to encrypt the copy with a new KMS key. If you don\'t specify a value for this parameter, then the copy of the DB snapshot is encrypted with the same Amazon Web Services KMS key as the source DB snapshot.
If you copy an encrypted DB snapshot that is shared from another Amazon Web Services account, then you must specify a value for this parameter.
If you specify this parameter when you copy an unencrypted snapshot, the copy is encrypted.
If you copy an encrypted snapshot to a different Amazon Web Services Region, then you must specify an Amazon Web Services KMS key identifier for the destination Amazon Web Services Region. KMS keys are specific to the Amazon Web Services Region that they are created in, and you can\'t use KMS keys from one Amazon Web Services Region in another Amazon Web Services Region.
', 'CopyDBSnapshotMessage$PreSignedUrl' => 'When you are copying a snapshot from one Amazon Web Services GovCloud (US) Region to another, the URL that contains a Signature Version 4 signed request for the CopyDBSnapshot API operation in the source Amazon Web Services Region that contains the source DB snapshot to copy.
This setting applies only to Amazon Web Services GovCloud (US) Regions. It\'s ignored in other Amazon Web Services Regions.
You must specify this parameter when you copy an encrypted DB snapshot from another Amazon Web Services Region by using the Amazon RDS API. Don\'t specify PreSignedUrl when you are copying an encrypted DB snapshot in the same Amazon Web Services Region.
The presigned URL must be a valid request for the CopyDBClusterSnapshot API operation that can run in the source Amazon Web Services Region that contains the encrypted DB cluster snapshot to copy. The presigned URL request must contain the following parameter values:
DestinationRegion - The Amazon Web Services Region that the encrypted DB snapshot is copied to. This Amazon Web Services Region is the same one where the CopyDBSnapshot operation is called that contains this presigned URL.
For example, if you copy an encrypted DB snapshot from the us-west-2 Amazon Web Services Region to the us-east-1 Amazon Web Services Region, then you call the CopyDBSnapshot operation in the us-east-1 Amazon Web Services Region and provide a presigned URL that contains a call to the CopyDBSnapshot operation in the us-west-2 Amazon Web Services Region. For this example, the DestinationRegion in the presigned URL must be set to the us-east-1 Amazon Web Services Region.
KmsKeyId - The KMS key identifier for the KMS key to use to encrypt the copy of the DB snapshot in the destination Amazon Web Services Region. This is the same identifier for both the CopyDBSnapshot operation that is called in the destination Amazon Web Services Region, and the operation contained in the presigned URL.
SourceDBSnapshotIdentifier - The DB snapshot identifier for the encrypted snapshot to be copied. This identifier must be in the Amazon Resource Name (ARN) format for the source Amazon Web Services Region. For example, if you are copying an encrypted DB snapshot from the us-west-2 Amazon Web Services Region, then your SourceDBSnapshotIdentifier looks like the following example: arn:aws:rds:us-west-2:123456789012:snapshot:mysql-instance1-snapshot-20161115.
To learn how to generate a Signature Version 4 signed request, see Authenticating Requests: Using Query Parameters (Amazon Web Services Signature Version 4) and Signature Version 4 Signing Process.
If you are using an Amazon Web Services SDK tool or the CLI, you can specify SourceRegion (or --source-region for the CLI) instead of specifying PreSignedUrl manually. Specifying SourceRegion autogenerates a presigned URL that is a valid request for the operation that can run in the source Amazon Web Services Region.
The name of an option group to associate with the copy of the snapshot.
Specify this option if you are copying a snapshot from one Amazon Web Services Region to another, and your DB instance uses a nondefault option group. If your source DB instance uses Transparent Data Encryption for Oracle or Microsoft SQL Server, you must specify this option when copying across Amazon Web Services Regions. For more information, see Option group considerations in the Amazon RDS User Guide.
', 'CopyDBSnapshotMessage$TargetCustomAvailabilityZone' => 'The external custom Availability Zone (CAZ) identifier for the target CAZ.
Example: rds-caz-aiqhTgQv.
The identifier for the source option group.
Constraints:
Must specify a valid option group.
The identifier for the copied option group.
Constraints:
Can\'t be null, empty, or blank
Must contain from 1 to 255 letters, numbers, or hyphens
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Example: my-option-group
The description for the copied option group.
', 'CreateDBClusterEndpointMessage$DBClusterIdentifier' => 'The DB cluster identifier of the DB cluster associated with the endpoint. This parameter is stored as a lowercase string.
', 'CreateDBClusterEndpointMessage$DBClusterEndpointIdentifier' => 'The identifier to use for the new endpoint. This parameter is stored as a lowercase string.
', 'CreateDBClusterEndpointMessage$EndpointType' => 'The type of the endpoint, one of: READER, WRITER, ANY.
The name of the character set (CharacterSet) to associate the DB cluster with.
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBClusterMessage$DatabaseName' => 'The name for your database of up to 64 alphanumeric characters. A database named postgres is always created. If this parameter is specified, an additional database with this name is created.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$DBClusterIdentifier' => 'The identifier for this DB cluster. This parameter is stored as a lowercase string.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Must contain from 1 to 63 (for Aurora DB clusters) or 1 to 52 (for Multi-AZ DB clusters) letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-cluster1
The name of the DB cluster parameter group to associate with this DB cluster. If you don\'t specify a value, then the default DB cluster parameter group for the specified DB engine and version is used.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
If supplied, must match the name of an existing DB cluster parameter group.
A DB subnet group to associate with this DB cluster.
This setting is required to create a Multi-AZ DB cluster.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Must match the name of an existing DB subnet group.
Example: mydbsubnetgroup
The database engine to use for this DB cluster.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values:
aurora-mysql
aurora-postgresql
mysql
postgres
neptune - For information about using Amazon Neptune, see the Amazon Neptune User Guide .
The version number of the database engine to use.
To list all of the available engine versions for Aurora MySQL version 2 (5.7-compatible) and version 3 (MySQL 8.0-compatible), use the following command:
aws rds describe-db-engine-versions --engine aurora-mysql --query "DBEngineVersions[].EngineVersion"
You can supply either 5.7 or 8.0 to use the default engine version for Aurora MySQL version 2 or version 3, respectively.
To list all of the available engine versions for Aurora PostgreSQL, use the following command:
aws rds describe-db-engine-versions --engine aurora-postgresql --query "DBEngineVersions[].EngineVersion"
To list all of the available engine versions for RDS for MySQL, use the following command:
aws rds describe-db-engine-versions --engine mysql --query "DBEngineVersions[].EngineVersion"
To list all of the available engine versions for RDS for PostgreSQL, use the following command:
aws rds describe-db-engine-versions --engine postgres --query "DBEngineVersions[].EngineVersion"
For information about a specific engine, see the following topics:
Aurora MySQL - see Database engine updates for Amazon Aurora MySQL in the Amazon Aurora User Guide.
Aurora PostgreSQL - see Amazon Aurora PostgreSQL releases and engine versions in the Amazon Aurora User Guide.
RDS for MySQL - see Amazon RDS for MySQL in the Amazon RDS User Guide.
RDS for PostgreSQL - see Amazon RDS for PostgreSQL in the Amazon RDS User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$MasterUsername' => 'The name of the master user for the DB cluster.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Must be 1 to 16 letters or numbers.
First character must be a letter.
Can\'t be a reserved word for the chosen database engine.
The password for the master database user.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Must contain from 8 to 41 characters.
Can contain any printable ASCII character except "/", """, or "@".
Can\'t be specified if ManageMasterUserPassword is turned on.
The option group to associate the DB cluster with.
DB clusters are associated with a default option group that can\'t be modified.
', 'CreateDBClusterMessage$PreferredBackupWindow' => 'The daily time range during which automated backups are created if automated backups are enabled using the BackupRetentionPeriod parameter.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region. To view the time blocks available, see Backup window in the Amazon Aurora User Guide.
Constraints:
Must be in the format hh24:mi-hh24:mi.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred maintenance window.
Must be at least 30 minutes.
The weekly time range during which system maintenance can occur.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region, occurring on a random day of the week. To see the time blocks available, see Adjusting the Preferred DB Cluster Maintenance Window in the Amazon Aurora User Guide.
Constraints:
Must be in the format ddd:hh24:mi-ddd:hh24:mi.
Days must be one of Mon | Tue | Wed | Thu | Fri | Sat | Sun.
Must be in Universal Coordinated Time (UTC).
Must be at least 30 minutes.
The Amazon Resource Name (ARN) of the source DB instance or DB cluster if this DB cluster is created as a read replica.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$KmsKeyId' => 'The Amazon Web Services KMS key identifier for an encrypted DB cluster.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
When a KMS key isn\'t specified in KmsKeyId:
If ReplicationSourceIdentifier identifies an encrypted source, then Amazon RDS uses the KMS key used to encrypt the source. Otherwise, Amazon RDS uses your default KMS key.
If the StorageEncrypted parameter is enabled and ReplicationSourceIdentifier isn\'t specified, then Amazon RDS uses your default KMS key.
There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
If you create a read replica of an encrypted DB cluster in another Amazon Web Services Region, make sure to set KmsKeyId to a KMS key identifier that is valid in the destination Amazon Web Services Region. This KMS key is used to encrypt the read replica in that Amazon Web Services Region.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$PreSignedUrl' => 'When you are replicating a DB cluster from one Amazon Web Services GovCloud (US) Region to another, an URL that contains a Signature Version 4 signed request for the CreateDBCluster operation to be called in the source Amazon Web Services Region where the DB cluster is replicated from. Specify PreSignedUrl only when you are performing cross-Region replication from an encrypted DB cluster.
The presigned URL must be a valid request for the CreateDBCluster API operation that can run in the source Amazon Web Services Region that contains the encrypted DB cluster to copy.
The presigned URL request must contain the following parameter values:
KmsKeyId - The KMS key identifier for the KMS key to use to encrypt the copy of the DB cluster in the destination Amazon Web Services Region. This should refer to the same KMS key for both the CreateDBCluster operation that is called in the destination Amazon Web Services Region, and the operation contained in the presigned URL.
DestinationRegion - The name of the Amazon Web Services Region that Aurora read replica will be created in.
ReplicationSourceIdentifier - The DB cluster identifier for the encrypted DB cluster to be copied. This identifier must be in the Amazon Resource Name (ARN) format for the source Amazon Web Services Region. For example, if you are copying an encrypted DB cluster from the us-west-2 Amazon Web Services Region, then your ReplicationSourceIdentifier would look like Example: arn:aws:rds:us-west-2:123456789012:cluster:aurora-cluster1.
To learn how to generate a Signature Version 4 signed request, see Authenticating Requests: Using Query Parameters (Amazon Web Services Signature Version 4) and Signature Version 4 Signing Process.
If you are using an Amazon Web Services SDK tool or the CLI, you can specify SourceRegion (or --source-region for the CLI) instead of specifying PreSignedUrl manually. Specifying SourceRegion autogenerates a presigned URL that is a valid request for the operation that can run in the source Amazon Web Services Region.
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBClusterMessage$EngineMode' => 'The DB engine mode of the DB cluster, either provisioned or serverless.
The serverless engine mode only applies for Aurora Serverless v1 DB clusters. Aurora Serverless v2 DB clusters use the provisioned engine mode.
For information about limitations and requirements for Serverless DB clusters, see the following sections in the Amazon Aurora User Guide:
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBClusterMessage$GlobalClusterIdentifier' => 'The global cluster ID of an Aurora cluster that becomes the primary cluster in the new global database cluster.
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBClusterMessage$Domain' => 'The Active Directory directory ID to create the DB cluster in.
For Amazon Aurora DB clusters, Amazon RDS can use Kerberos authentication to authenticate users that connect to the DB cluster.
For more information, see Kerberos authentication in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBClusterMessage$DomainIAMRoleName' => 'The name of the IAM role to use when making API calls to the Directory Service.
Valid for Cluster Type: Aurora DB clusters only
', 'CreateDBClusterMessage$DBClusterInstanceClass' => 'The compute and memory capacity of each DB instance in the Multi-AZ DB cluster, for example db.m6gd.xlarge. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines.
For the full list of DB instance classes and availability for your engine, see DB instance class in the Amazon RDS User Guide.
This setting is required to create a Multi-AZ DB cluster.
Valid for Cluster Type: Multi-AZ DB clusters only
', 'CreateDBClusterMessage$StorageType' => 'The storage type to associate with the DB cluster.
For information on storage types for Aurora DB clusters, see Storage configurations for Amazon Aurora DB clusters. For information on storage types for Multi-AZ DB clusters, see Settings for creating Multi-AZ DB clusters.
This setting is required to create a Multi-AZ DB cluster.
When specified for a Multi-AZ DB cluster, a value for the Iops parameter is required.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values:
Aurora DB clusters - aurora | aurora-iopt1
Multi-AZ DB clusters - io1 | io2 | gp3
Default:
Aurora DB clusters - aurora
Multi-AZ DB clusters - io1
When you create an Aurora DB cluster with the storage type set to aurora-iopt1, the storage type is returned in the response. The storage type isn\'t returned when you set it to aurora.
The Amazon Resource Name (ARN) for the IAM role that permits RDS to send Enhanced Monitoring metrics to Amazon CloudWatch Logs. An example is arn:aws:iam:123456789012:role/emaccess. For information on creating a monitoring role, see Setting up and enabling Enhanced Monitoring in the Amazon RDS User Guide.
If MonitoringInterval is set to a value other than 0, supply a MonitoringRoleArn value.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$PerformanceInsightsKMSKeyId' => 'The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you don\'t specify a value for PerformanceInsightsKMSKeyId, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$NetworkType' => 'The network type of the DB cluster.
The network type is determined by the DBSubnetGroup specified for the DB cluster. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters only
Valid Values: IPV4 | DUAL
Reserved for future use.
', 'CreateDBClusterMessage$MasterUserSecretKmsKeyId' => 'The Amazon Web Services KMS key identifier to encrypt a secret that is automatically generated and managed in Amazon Web Services Secrets Manager.
This setting is valid only if the master user password is managed by RDS in Amazon Web Services Secrets Manager for the DB cluster.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
If you don\'t specify MasterUserSecretKmsKeyId, then the aws/secretsmanager KMS key is used to encrypt the secret. If the secret is in a different Amazon Web Services account, then you can\'t use the aws/secretsmanager KMS key to encrypt the secret, and you must use a customer managed KMS key.
There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterMessage$CACertificateIdentifier' => 'The CA certificate identifier to use for the DB cluster\'s server certificate.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide.
Valid for Cluster Type: Multi-AZ DB clusters
', 'CreateDBClusterMessage$EngineLifecycleSupport' => 'The life cycle type for this DB cluster.
By default, this value is set to open-source-rds-extended-support, which enrolls your DB cluster into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, creating the DB cluster will fail if the DB major version is past its end of standard support date.
You can use this setting to enroll your DB cluster into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your DB cluster past the end of standard support for that engine version. For more information, see the following sections:
Amazon Aurora - Using Amazon RDS Extended Support in the Amazon Aurora User Guide
Amazon RDS - Using Amazon RDS Extended Support in the Amazon RDS User Guide
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The name of the DB cluster parameter group.
Constraints:
Must not match the name of an existing DB cluster parameter group.
This value is stored as a lowercase string.
The DB cluster parameter group family name. A DB cluster parameter group can be associated with one and only one DB cluster parameter group family, and can be applied only to a DB cluster running a database engine and engine version compatible with that DB cluster parameter group family.
Aurora MySQL
Example: aurora-mysql5.7, aurora-mysql8.0
Aurora PostgreSQL
Example: aurora-postgresql14
RDS for MySQL
Example: mysql8.0
RDS for PostgreSQL
Example: postgres13
To list all of the available parameter group families for a DB engine, use the following command:
aws rds describe-db-engine-versions --query "DBEngineVersions[].DBParameterGroupFamily" --engine <engine>
For example, to list all of the available parameter group families for the Aurora PostgreSQL DB engine, use the following command:
aws rds describe-db-engine-versions --query "DBEngineVersions[].DBParameterGroupFamily" --engine aurora-postgresql
The output contains duplicates.
The following are the valid DB engine values:
aurora-mysql
aurora-postgresql
mysql
postgres
The description for the DB cluster parameter group.
', 'CreateDBClusterSnapshotMessage$DBClusterSnapshotIdentifier' => 'The identifier of the DB cluster snapshot. This parameter is stored as a lowercase string.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-cluster1-snapshot1
The identifier of the DB cluster to create a snapshot for. This parameter isn\'t case-sensitive.
Constraints:
Must match the identifier of an existing DBCluster.
Example: my-cluster1
The meaning of this parameter differs according to the database engine you use.
The name of the database to create when the primary DB instance of the Aurora MySQL DB cluster is created. If this parameter isn\'t specified for an Aurora MySQL DB cluster, no database is created in the DB cluster.
Constraints:
Must contain 1 to 64 alphanumeric characters.
Must begin with a letter. Subsequent characters can be letters, underscores, or digits (0-9).
Can\'t be a word reserved by the database engine.
The name of the database to create when the primary DB instance of the Aurora PostgreSQL DB cluster is created. A database named postgres is always created. If this parameter is specified, an additional database with this name is created.
Constraints:
It must contain 1 to 63 alphanumeric characters.
Must begin with a letter. Subsequent characters can be letters, underscores, or digits (0 to 9).
Can\'t be a word reserved by the database engine.
The Oracle System ID (SID) of the created RDS Custom DB instance. If you don\'t specify a value, the default value is ORCL for non-CDBs and RDSCDB for CDBs.
Default: ORCL
Constraints:
Must contain 1 to 8 alphanumeric characters.
Must contain a letter.
Can\'t be a word reserved by the database engine.
Not applicable. Must be null.
The name of the database to create when the DB instance is created. If this parameter isn\'t specified, no database is created in the DB instance. In some cases, we recommend that you don\'t add a database name. For more information, see Additional considerations in the Amazon RDS User Guide.
Constraints:
Must contain 1 to 64 letters or numbers.
Must begin with a letter. Subsequent characters can be letters, underscores, or digits (0-9).
Can\'t be a word reserved by the specified database engine.
The name of the database to create when the DB instance is created. If this parameter isn\'t specified, no database is created in the DB instance.
Constraints:
Must contain 1 to 64 letters or numbers.
Must begin with a letter. Subsequent characters can be letters, underscores, or digits (0-9).
Can\'t be a word reserved by the specified database engine.
The name of the database to create when the DB instance is created. If this parameter isn\'t specified, no database is created in the DB instance.
Constraints:
Must contain 1 to 64 letters or numbers.
Must begin with a letter. Subsequent characters can be letters, underscores, or digits (0-9).
Can\'t be a word reserved by the specified database engine.
The Oracle System ID (SID) of the created DB instance. If you don\'t specify a value, the default value is ORCL. You can\'t specify the string null, or any other reserved word, for DBName.
Default: ORCL
Constraints:
Can\'t be longer than 8 characters.
The name of the database to create when the DB instance is created. A database named postgres is always created. If this parameter is specified, an additional database with this name is created.
Constraints:
Must contain 1 to 63 letters, numbers, or underscores.
Must begin with a letter. Subsequent characters can be letters, underscores, or digits (0-9).
Can\'t be a word reserved by the specified database engine.
Not applicable. Must be null.
The identifier for this DB instance. This parameter is stored as a lowercase string.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: mydbinstance
The compute and memory capacity of the DB instance, for example db.m5.large. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines. For the full list of DB instance classes, and availability for your engine, see DB instance classes in the Amazon RDS User Guide or Aurora DB instance classes in the Amazon Aurora User Guide.
The database engine to use for this DB instance.
Not every database engine is available in every Amazon Web Services Region.
Valid Values:
aurora-mysql (for Aurora MySQL DB instances)
aurora-postgresql (for Aurora PostgreSQL DB instances)
custom-oracle-ee (for RDS Custom for Oracle DB instances)
custom-oracle-ee-cdb (for RDS Custom for Oracle DB instances)
custom-oracle-se2 (for RDS Custom for Oracle DB instances)
custom-oracle-se2-cdb (for RDS Custom for Oracle DB instances)
custom-sqlserver-ee (for RDS Custom for SQL Server DB instances)
custom-sqlserver-se (for RDS Custom for SQL Server DB instances)
custom-sqlserver-web (for RDS Custom for SQL Server DB instances)
custom-sqlserver-dev (for RDS Custom for SQL Server DB instances)
db2-ae
db2-se
mariadb
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
The name for the master user.
This setting doesn\'t apply to Amazon Aurora DB instances. The name for the master user is managed by the DB cluster.
This setting is required for RDS DB instances.
Constraints:
Must be 1 to 16 letters, numbers, or underscores.
First character must be a letter.
Can\'t be a reserved word for the chosen database engine.
The password for the master user.
This setting doesn\'t apply to Amazon Aurora DB instances. The password for the master user is managed by the DB cluster.
Constraints:
Can\'t be specified if ManageMasterUserPassword is turned on.
Can include any printable ASCII character except "/", """, or "@". For RDS for Oracle, can\'t include the "&" (ampersand) or the "\'" (single quotes) character.
Length Constraints:
RDS for Db2 - Must contain from 8 to 255 characters.
RDS for MariaDB - Must contain from 8 to 41 characters.
RDS for Microsoft SQL Server - Must contain from 8 to 128 characters.
RDS for MySQL - Must contain from 8 to 41 characters.
RDS for Oracle - Must contain from 8 to 30 characters.
RDS for PostgreSQL - Must contain from 8 to 128 characters.
The Availability Zone (AZ) where the database will be created. For information on Amazon Web Services Regions and Availability Zones, see Regions and Availability Zones.
For Amazon Aurora, each Aurora DB cluster hosts copies of its storage in three separate Availability Zones. Specify one of these Availability Zones. Aurora automatically chooses an appropriate Availability Zone if you don\'t specify one.
Default: A random, system-chosen Availability Zone in the endpoint\'s Amazon Web Services Region.
Constraints:
The AvailabilityZone parameter can\'t be specified if the DB instance is a Multi-AZ deployment.
The specified Availability Zone must be in the same Amazon Web Services Region as the current endpoint.
Example: us-east-1d
A DB subnet group to associate with this DB instance.
Constraints:
Must match the name of an existing DB subnet group.
Example: mydbsubnetgroup
The time range each week during which system maintenance can occur. For more information, see Amazon RDS Maintenance Window in the Amazon RDS User Guide.
The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region, occurring on a random day of the week.
Constraints:
Must be in the format ddd:hh24:mi-ddd:hh24:mi.
The day values must be mon | tue | wed | thu | fri | sat | sun.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred backup window.
Must be at least 30 minutes.
The name of the DB parameter group to associate with this DB instance. If you don\'t specify a value, then Amazon RDS uses the default DB parameter group for the specified DB engine and version.
This setting doesn\'t apply to RDS Custom DB instances.
Constraints:
Must be 1 to 255 letters, numbers, or hyphens.
The first character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
The daily time range during which automated backups are created if automated backups are enabled, using the BackupRetentionPeriod parameter. The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region. For more information, see Backup window in the Amazon RDS User Guide.
This setting doesn\'t apply to Amazon Aurora DB instances. The daily time range for creating automated backups is managed by the DB cluster.
Constraints:
Must be in the format hh24:mi-hh24:mi.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred maintenance window.
Must be at least 30 minutes.
The version number of the database engine to use.
This setting doesn\'t apply to Amazon Aurora DB instances. The version number of the database engine the DB instance uses is managed by the DB cluster.
For a list of valid engine versions, use the DescribeDBEngineVersions operation.
The following are the database engines and links to information about the major and minor versions that are available with Amazon RDS. Not every database engine is available for every Amazon Web Services Region.
A custom engine version (CEV) that you have previously created. This setting is required for RDS Custom for Oracle. The CEV name has the following format: 19.customized_string. A valid CEV name is 19.my_cev1. For more information, see Creating an RDS Custom for Oracle DB instance in the Amazon RDS User Guide.
See RDS Custom for SQL Server general requirements in the Amazon RDS User Guide.
For information, see Db2 on Amazon RDS versions in the Amazon RDS User Guide.
For information, see MariaDB on Amazon RDS versions in the Amazon RDS User Guide.
For information, see Microsoft SQL Server versions on Amazon RDS in the Amazon RDS User Guide.
For information, see MySQL on Amazon RDS versions in the Amazon RDS User Guide.
For information, see Oracle Database Engine release notes in the Amazon RDS User Guide.
For information, see Amazon RDS for PostgreSQL versions and extensions in the Amazon RDS User Guide.
The license model information for this DB instance.
License models for RDS for Db2 require additional configuration. The Bring Your Own License (BYOL) model requires a custom parameter group and an Amazon Web Services License Manager self-managed license. The Db2 license through Amazon Web Services Marketplace model requires an Amazon Web Services Marketplace subscription. For more information, see Amazon RDS for Db2 licensing options in the Amazon RDS User Guide.
The default for RDS for Db2 is bring-your-own-license.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
Valid Values:
RDS for Db2 - bring-your-own-license | marketplace-license
RDS for MariaDB - general-public-license
RDS for Microsoft SQL Server - license-included
RDS for MySQL - general-public-license
RDS for Oracle - bring-your-own-license | license-included
RDS for PostgreSQL - postgresql-license
The option group to associate the DB instance with.
Permanent options, such as the TDE option for Oracle Advanced Security TDE, can\'t be removed from an option group. Also, that option group can\'t be removed from a DB instance after it is associated with a DB instance.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
', 'CreateDBInstanceMessage$CharacterSetName' => 'For supported engines, the character set (CharacterSet) to associate the DB instance with.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora - The character set is managed by the DB cluster. For more information, see CreateDBCluster.
RDS Custom - However, if you need to change the character set, you can change it on the database itself.
The name of the NCHAR character set for the Oracle DB instance.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceMessage$DBClusterIdentifier' => 'The identifier of the DB cluster that this DB instance will belong to.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceMessage$StorageType' => 'The storage type to associate with the DB instance.
If you specify io1, io2, or gp3, you must also include a value for the Iops parameter.
This setting doesn\'t apply to Amazon Aurora DB instances. Storage is managed by the DB cluster.
Valid Values: gp2 | gp3 | io1 | io2 | standard
Default: io1, if the Iops parameter is specified. Otherwise, gp2.
The ARN from the key store with which to associate the instance for TDE encryption.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
', 'CreateDBInstanceMessage$TdeCredentialPassword' => 'The password for the given ARN from the key store in order to access the device.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceMessage$KmsKeyId' => 'The Amazon Web Services KMS key identifier for an encrypted DB instance.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
This setting doesn\'t apply to Amazon Aurora DB instances. The Amazon Web Services KMS key identifier is managed by the DB cluster. For more information, see CreateDBCluster.
If StorageEncrypted is enabled, and you do not specify a value for the KmsKeyId parameter, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
For Amazon RDS Custom, a KMS key is required for DB instances. For most RDS engines, if you leave this parameter empty while enabling StorageEncrypted, the engine uses the default KMS key. However, RDS Custom doesn\'t use the default key when this parameter is empty. You must explicitly specify a key.
The Active Directory directory ID to create the DB instance in. Currently, you can create only Db2, MySQL, Microsoft SQL Server, Oracle, and PostgreSQL DB instances in an Active Directory Domain.
For more information, see Kerberos Authentication in the Amazon RDS User Guide.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora (The domain is managed by the DB cluster.)
RDS Custom
The fully qualified domain name (FQDN) of an Active Directory domain.
Constraints:
Can\'t be longer than 64 characters.
Example: mymanagedADtest.mymanagedAD.mydomain
The Active Directory organizational unit for your DB instance to join.
Constraints:
Must be in the distinguished name format.
Can\'t be longer than 64 characters.
Example: OU=mymanagedADtestOU,DC=mymanagedADtest,DC=mymanagedAD,DC=mydomain
The ARN for the Secrets Manager secret with the credentials for the user joining the domain.
Example: arn:aws:secretsmanager:region:account-number:secret:myselfmanagedADtestsecret-123456
The ARN for the IAM role that permits RDS to send enhanced monitoring metrics to Amazon CloudWatch Logs. For example, arn:aws:iam:123456789012:role/emaccess. For information on creating a monitoring role, see Setting Up and Enabling Enhanced Monitoring in the Amazon RDS User Guide.
If MonitoringInterval is set to a value other than 0, then you must supply a MonitoringRoleArn value.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceMessage$DomainIAMRoleName' => 'The name of the IAM role to use when making API calls to the Directory Service.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora (The domain is managed by the DB cluster.)
RDS Custom
The time zone of the DB instance. The time zone parameter is currently supported only by RDS for Db2 and RDS for SQL Server.
', 'CreateDBInstanceMessage$PerformanceInsightsKMSKeyId' => 'The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you don\'t specify a value for PerformanceInsightsKMSKeyId, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceMessage$CustomIamInstanceProfile' => 'The instance profile associated with the underlying Amazon EC2 instance of an RDS Custom DB instance.
This setting is required for RDS Custom.
Constraints:
The profile must exist in your account.
The profile must have an IAM role that Amazon EC2 has permissions to assume.
The instance profile name and the associated IAM role name must start with the prefix AWSRDSCustom.
For the list of permissions required for the IAM role, see Configure IAM and your VPC in the Amazon RDS User Guide.
', 'CreateDBInstanceMessage$BackupTarget' => 'The location for storing automated backups and manual snapshots.
Valid Values:
outposts (Amazon Web Services Outposts)
region (Amazon Web Services Region)
Default: region
For more information, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
', 'CreateDBInstanceMessage$NetworkType' => 'The network type of the DB instance.
The network type is determined by the DBSubnetGroup specified for the DB instance. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
Valid Values: IPV4 | DUAL
The Amazon Web Services KMS key identifier to encrypt a secret that is automatically generated and managed in Amazon Web Services Secrets Manager.
This setting is valid only if the master user password is managed by RDS in Amazon Web Services Secrets Manager for the DB instance.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
If you don\'t specify MasterUserSecretKmsKeyId, then the aws/secretsmanager KMS key is used to encrypt the secret. If the secret is in a different Amazon Web Services account, then you can\'t use the aws/secretsmanager KMS key to encrypt the secret, and you must use a customer managed KMS key.
There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
', 'CreateDBInstanceMessage$CACertificateIdentifier' => 'The CA certificate identifier to use for the DB instance\'s server certificate.
This setting doesn\'t apply to RDS Custom DB instances.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'CreateDBInstanceMessage$DBSystemId' => 'The Oracle system identifier (SID), which is the name of the Oracle database instance that manages your database files. In this context, the term "Oracle database instance" refers exclusively to the system global area (SGA) and Oracle background processes. If you don\'t specify a SID, the value defaults to RDSCDB. The Oracle SID is also the name of your CDB.
The life cycle type for this DB instance.
By default, this value is set to open-source-rds-extended-support, which enrolls your DB instance into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, creating the DB instance will fail if the DB major version is past its end of standard support date.
This setting applies only to RDS for MySQL and RDS for PostgreSQL. For Amazon Aurora DB instances, the life cycle type is managed by the DB cluster.
You can use this setting to enroll your DB instance into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your DB instance past the end of standard support for that engine version. For more information, see Using Amazon RDS Extended Support in the Amazon RDS User Guide.
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The DB instance identifier of the read replica. This identifier is the unique key that identifies a DB instance. This parameter is stored as a lowercase string.
', 'CreateDBInstanceReadReplicaMessage$SourceDBInstanceIdentifier' => 'The identifier of the DB instance that will act as the source for the read replica. Each DB instance can have up to 15 read replicas, with the exception of Oracle and SQL Server, which can have up to five.
Constraints:
Must be the identifier of an existing Db2, MariaDB, MySQL, Oracle, PostgreSQL, or SQL Server DB instance.
Can\'t be specified if the SourceDBClusterIdentifier parameter is also specified.
For the limitations of Oracle read replicas, see Version and licensing considerations for RDS for Oracle replicas in the Amazon RDS User Guide.
For the limitations of SQL Server read replicas, see Read replica limitations with SQL Server in the Amazon RDS User Guide.
The specified DB instance must have automatic backups enabled, that is, its backup retention period must be greater than 0.
If the source DB instance is in the same Amazon Web Services Region as the read replica, specify a valid DB instance identifier.
If the source DB instance is in a different Amazon Web Services Region from the read replica, specify a valid DB instance ARN. For more information, see Constructing an ARN for Amazon RDS in the Amazon RDS User Guide. This doesn\'t apply to SQL Server or RDS Custom, which don\'t support cross-Region replicas.
The compute and memory capacity of the read replica, for example db.m4.large. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines. For the full list of DB instance classes, and availability for your engine, see DB Instance Class in the Amazon RDS User Guide.
Default: Inherits the value from the source DB instance.
', 'CreateDBInstanceReadReplicaMessage$AvailabilityZone' => 'The Availability Zone (AZ) where the read replica will be created.
Default: A random, system-chosen Availability Zone in the endpoint\'s Amazon Web Services Region.
Example: us-east-1d
The option group to associate the DB instance with. If not specified, RDS uses the option group associated with the source DB instance or cluster.
For SQL Server, you must use the option group associated with the source.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$DBParameterGroupName' => 'The name of the DB parameter group to associate with this read replica DB instance.
For Single-AZ or Multi-AZ DB instance read replica instances, if you don\'t specify a value for DBParameterGroupName, then Amazon RDS uses the DBParameterGroup of the source DB instance for a same Region read replica, or the default DBParameterGroup for the specified DB engine for a cross-Region read replica.
For Multi-AZ DB cluster same Region read replica instances, if you don\'t specify a value for DBParameterGroupName, then Amazon RDS uses the default DBParameterGroup.
Specifying a parameter group for this operation is only supported for MySQL DB instances for cross-Region read replicas, for Multi-AZ DB cluster read replica instances, and for Oracle DB instances. It isn\'t supported for MySQL DB instances for same Region read replicas or for RDS Custom.
Constraints:
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
A DB subnet group for the DB instance. The new DB instance is created in the VPC associated with the DB subnet group. If no DB subnet group is specified, then the new DB instance isn\'t created in a VPC.
Constraints:
If supplied, must match the name of an existing DB subnet group.
The specified DB subnet group must be in the same Amazon Web Services Region in which the operation is running.
All read replicas in one Amazon Web Services Region that are created from the same source DB instance must either:
Specify DB subnet groups from the same VPC. All these read replicas are created in the same VPC.
Not specify a DB subnet group. All these read replicas are created outside of any VPC.
Example: mydbsubnetgroup
The storage type to associate with the read replica.
If you specify io1, io2, or gp3, you must also include a value for the Iops parameter.
Valid Values: gp2 | gp3 | io1 | io2 | standard
Default: io1 if the Iops parameter is specified. Otherwise, gp2.
The ARN for the IAM role that permits RDS to send enhanced monitoring metrics to Amazon CloudWatch Logs. For example, arn:aws:iam:123456789012:role/emaccess. For information on creating a monitoring role, go to To create an IAM role for Amazon RDS Enhanced Monitoring in the Amazon RDS User Guide.
If MonitoringInterval is set to a value other than 0, then you must supply a MonitoringRoleArn value.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$KmsKeyId' => 'The Amazon Web Services KMS key identifier for an encrypted read replica.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you create an encrypted read replica in the same Amazon Web Services Region as the source DB instance or Multi-AZ DB cluster, don\'t specify a value for this parameter. A read replica in the same Amazon Web Services Region is always encrypted with the same KMS key as the source DB instance or cluster.
If you create an encrypted read replica in a different Amazon Web Services Region, then you must specify a KMS key identifier for the destination Amazon Web Services Region. KMS keys are specific to the Amazon Web Services Region that they are created in, and you can\'t use KMS keys from one Amazon Web Services Region in another Amazon Web Services Region.
You can\'t create an encrypted read replica from an unencrypted DB instance or Multi-AZ DB cluster.
This setting doesn\'t apply to RDS Custom, which uses the same KMS key as the primary replica.
', 'CreateDBInstanceReadReplicaMessage$PreSignedUrl' => 'When you are creating a read replica from one Amazon Web Services GovCloud (US) Region to another or from one China Amazon Web Services Region to another, the URL that contains a Signature Version 4 signed request for the CreateDBInstanceReadReplica API operation in the source Amazon Web Services Region that contains the source DB instance.
This setting applies only to Amazon Web Services GovCloud (US) Regions and China Amazon Web Services Regions. It\'s ignored in other Amazon Web Services Regions.
This setting applies only when replicating from a source DB instance. Source DB clusters aren\'t supported in Amazon Web Services GovCloud (US) Regions and China Amazon Web Services Regions.
You must specify this parameter when you create an encrypted read replica from another Amazon Web Services Region by using the Amazon RDS API. Don\'t specify PreSignedUrl when you are creating an encrypted read replica in the same Amazon Web Services Region.
The presigned URL must be a valid request for the CreateDBInstanceReadReplica API operation that can run in the source Amazon Web Services Region that contains the encrypted source DB instance. The presigned URL request must contain the following parameter values:
DestinationRegion - The Amazon Web Services Region that the encrypted read replica is created in. This Amazon Web Services Region is the same one where the CreateDBInstanceReadReplica operation is called that contains this presigned URL.
For example, if you create an encrypted DB instance in the us-west-1 Amazon Web Services Region, from a source DB instance in the us-east-2 Amazon Web Services Region, then you call the CreateDBInstanceReadReplica operation in the us-east-1 Amazon Web Services Region and provide a presigned URL that contains a call to the CreateDBInstanceReadReplica operation in the us-west-2 Amazon Web Services Region. For this example, the DestinationRegion in the presigned URL must be set to the us-east-1 Amazon Web Services Region.
KmsKeyId - The KMS key identifier for the key to use to encrypt the read replica in the destination Amazon Web Services Region. This is the same identifier for both the CreateDBInstanceReadReplica operation that is called in the destination Amazon Web Services Region, and the operation contained in the presigned URL.
SourceDBInstanceIdentifier - The DB instance identifier for the encrypted DB instance to be replicated. This identifier must be in the Amazon Resource Name (ARN) format for the source Amazon Web Services Region. For example, if you are creating an encrypted read replica from a DB instance in the us-west-2 Amazon Web Services Region, then your SourceDBInstanceIdentifier looks like the following example: arn:aws:rds:us-west-2:123456789012:instance:mysql-instance1-20161115.
To learn how to generate a Signature Version 4 signed request, see Authenticating Requests: Using Query Parameters (Amazon Web Services Signature Version 4) and Signature Version 4 Signing Process.
If you are using an Amazon Web Services SDK tool or the CLI, you can specify SourceRegion (or --source-region for the CLI) instead of specifying PreSignedUrl manually. Specifying SourceRegion autogenerates a presigned URL that is a valid request for the operation that can run in the source Amazon Web Services Region.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$PerformanceInsightsKMSKeyId' => 'The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you do not specify a value for PerformanceInsightsKMSKeyId, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$Domain' => 'The Active Directory directory ID to create the DB instance in. Currently, only MySQL, Microsoft SQL Server, Oracle, and PostgreSQL DB instances can be created in an Active Directory Domain.
For more information, see Kerberos Authentication in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$DomainIAMRoleName' => 'The name of the IAM role to use when making API calls to the Directory Service.
This setting doesn\'t apply to RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$DomainFqdn' => 'The fully qualified domain name (FQDN) of an Active Directory domain.
Constraints:
Can\'t be longer than 64 characters.
Example: mymanagedADtest.mymanagedAD.mydomain
The Active Directory organizational unit for your DB instance to join.
Constraints:
Must be in the distinguished name format.
Can\'t be longer than 64 characters.
Example: OU=mymanagedADtestOU,DC=mymanagedADtest,DC=mymanagedAD,DC=mydomain
The ARN for the Secrets Manager secret with the credentials for the user joining the domain.
Example: arn:aws:secretsmanager:region:account-number:secret:myselfmanagedADtestsecret-123456
The instance profile associated with the underlying Amazon EC2 instance of an RDS Custom DB instance. The instance profile must meet the following requirements:
The profile must exist in your account.
The profile must have an IAM role that Amazon EC2 has permissions to assume.
The instance profile name and the associated IAM role name must start with the prefix AWSRDSCustom.
For the list of permissions required for the IAM role, see Configure IAM and your VPC in the Amazon RDS User Guide.
This setting is required for RDS Custom DB instances.
', 'CreateDBInstanceReadReplicaMessage$NetworkType' => 'The network type of the DB instance.
Valid Values:
IPV4
DUAL
The network type is determined by the DBSubnetGroup specified for read replica. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
', 'CreateDBInstanceReadReplicaMessage$SourceDBClusterIdentifier' => 'The identifier of the Multi-AZ DB cluster that will act as the source for the read replica. Each DB cluster can have up to 15 read replicas.
Constraints:
Must be the identifier of an existing Multi-AZ DB cluster.
Can\'t be specified if the SourceDBInstanceIdentifier parameter is also specified.
The specified DB cluster must have automatic backups enabled, that is, its backup retention period must be greater than 0.
The source DB cluster must be in the same Amazon Web Services Region as the read replica. Cross-Region replication isn\'t supported.
The CA certificate identifier to use for the read replica\'s server certificate.
This setting doesn\'t apply to RDS Custom DB instances.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'CreateDBParameterGroupMessage$DBParameterGroupName' => 'The name of the DB parameter group.
Constraints:
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
This value is stored as a lowercase string.
The DB parameter group family name. A DB parameter group can be associated with one and only one DB parameter group family, and can be applied only to a DB instance running a database engine and engine version compatible with that DB parameter group family.
To list all of the available parameter group families for a DB engine, use the following command:
aws rds describe-db-engine-versions --query "DBEngineVersions[].DBParameterGroupFamily" --engine <engine>
For example, to list all of the available parameter group families for the MySQL DB engine, use the following command:
aws rds describe-db-engine-versions --query "DBEngineVersions[].DBParameterGroupFamily" --engine mysql
The output contains duplicates.
The following are the valid DB engine values:
aurora-mysql
aurora-postgresql
db2-ae
db2-se
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
The description for the DB parameter group.
', 'CreateDBProxyRequest$DBProxyName' => 'The identifier for the proxy. This name must be unique for all proxies owned by your Amazon Web Services account in the specified Amazon Web Services Region. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens; it can\'t end with a hyphen or contain two consecutive hyphens.
', 'CreateDBProxyRequest$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role that the proxy uses to access secrets in Amazon Web Services Secrets Manager.
', 'CreateDBSecurityGroupMessage$DBSecurityGroupName' => 'The name for the DB security group. This value is stored as a lowercase string.
Constraints:
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Must not be "Default"
Example: mysecuritygroup
The description for the DB security group.
', 'CreateDBShardGroupMessage$DBShardGroupIdentifier' => 'The name of the DB shard group.
', 'CreateDBShardGroupMessage$DBClusterIdentifier' => 'The name of the primary DB cluster for the DB shard group.
', 'CreateDBSnapshotMessage$DBSnapshotIdentifier' => 'The identifier for the DB snapshot.
Constraints:
Can\'t be null, empty, or blank
Must contain from 1 to 255 letters, numbers, or hyphens
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Example: my-snapshot-id
The identifier of the DB instance that you want to create the snapshot of.
Constraints:
Must match the identifier of an existing DBInstance.
The name for the DB subnet group. This value is stored as a lowercase string.
Constraints:
Must contain no more than 255 letters, numbers, periods, underscores, spaces, or hyphens.
Must not be default.
First character must be a letter.
Example: mydbsubnetgroup
The description for the DB subnet group.
', 'CreateEventSubscriptionMessage$SubscriptionName' => 'The name of the subscription.
Constraints: The name must be less than 255 characters.
', 'CreateEventSubscriptionMessage$SnsTopicArn' => 'The Amazon Resource Name (ARN) of the SNS topic created for event notification. SNS automatically creates the ARN when you create a topic and subscribe to it.
RDS doesn\'t support FIFO (first in, first out) topics. For more information, see Message ordering and deduplication (FIFO topics) in the Amazon Simple Notification Service Developer Guide.
The type of source that is generating the events. For example, if you want to be notified of events generated by a DB instance, you set this parameter to db-instance. For RDS Proxy events, specify db-proxy. If this value isn\'t specified, all events are returned.
Valid Values: db-instance | db-cluster | db-parameter-group | db-security-group | db-snapshot | db-cluster-snapshot | db-proxy | zero-etl | custom-engine-version | blue-green-deployment
The cluster identifier for this global database cluster. This parameter is stored as a lowercase string.
', 'CreateGlobalClusterMessage$SourceDBClusterIdentifier' => 'The Amazon Resource Name (ARN) to use as the primary cluster of the global database.
If you provide a value for this parameter, don\'t specify values for the following settings because Amazon Aurora uses the values from the specified source DB cluster:
DatabaseName
Engine
EngineVersion
StorageEncrypted
The database engine to use for this global database cluster.
Valid Values: aurora-mysql | aurora-postgresql
Constraints:
Can\'t be specified if SourceDBClusterIdentifier is specified. In this case, Amazon Aurora uses the engine of the source DB cluster.
The engine version to use for this global database cluster.
Constraints:
Can\'t be specified if SourceDBClusterIdentifier is specified. In this case, Amazon Aurora uses the engine version of the source DB cluster.
The life cycle type for this global database cluster.
By default, this value is set to open-source-rds-extended-support, which enrolls your global cluster into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, creating the global cluster will fail if the DB major version is past its end of standard support date.
This setting only applies to Aurora PostgreSQL-based global databases.
You can use this setting to enroll your global cluster into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your global cluster past the end of standard support for that engine version. For more information, see Using Amazon RDS Extended Support in the Amazon Aurora User Guide.
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The name for your database of up to 64 alphanumeric characters. If you don\'t specify a name, Amazon Aurora doesn\'t create a database in the global database cluster.
Constraints:
Can\'t be specified if SourceDBClusterIdentifier is specified. In this case, Amazon Aurora uses the database name from the source DB cluster.
The Amazon Web Services Key Management System (Amazon Web Services KMS) key identifier for the key to use to encrypt the integration. If you don\'t specify an encryption key, RDS uses a default Amazon Web Services owned key.
', 'CreateOptionGroupMessage$OptionGroupName' => 'Specifies the name of the option group to be created.
Constraints:
Must be 1 to 255 letters, numbers, or hyphens
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Example: myoptiongroup
The name of the engine to associate this option group with.
Valid Values:
db2-ae
db2-se
mariadb
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
Specifies the major version of the engine that this option group should be associated with.
', 'CreateOptionGroupMessage$OptionGroupDescription' => 'The description of the option group.
', 'CreateTenantDatabaseMessage$DBInstanceIdentifier' => 'The user-supplied DB instance identifier. RDS creates your tenant database in this DB instance. This parameter isn\'t case-sensitive.
', 'CreateTenantDatabaseMessage$TenantDBName' => 'The user-supplied name of the tenant database that you want to create in your DB instance. This parameter has the same constraints as DBName in CreateDBInstance.
The name for the master user account in your tenant database. RDS creates this user account in the tenant database and grants privileges to the master user. This parameter is case-sensitive.
Constraints:
Must be 1 to 16 letters, numbers, or underscores.
First character must be a letter.
Can\'t be a reserved word for the chosen database engine.
The character set for your tenant database. If you don\'t specify a value, the character set name defaults to AL32UTF8.
The NCHAR value for the tenant database.
A value that indicates the ID of the AMI.
', 'CustomDBEngineVersionAMI$Status' => 'A value that indicates the status of a custom engine version (CEV).
', 'DBCluster$CharacterSetName' => 'If present, specifies the name of the character set that this cluster is associated with.
', 'DBCluster$DatabaseName' => 'The name of the initial database that was specified for the DB cluster when it was created, if one was provided. This same name is returned for the life of the DB cluster.
', 'DBCluster$DBClusterIdentifier' => 'The user-supplied identifier for the DB cluster. This identifier is the unique key that identifies a DB cluster.
', 'DBCluster$DBClusterParameterGroup' => 'The name of the DB cluster parameter group for the DB cluster.
', 'DBCluster$DBSubnetGroup' => 'Information about the subnet group associated with the DB cluster, including the name, description, and subnets in the subnet group.
', 'DBCluster$Status' => 'The current state of this DB cluster.
', 'DBCluster$PercentProgress' => 'The progress of the operation as a percentage.
', 'DBCluster$Endpoint' => 'The connection endpoint for the primary instance of the DB cluster.
', 'DBCluster$ReaderEndpoint' => 'The reader endpoint for the DB cluster. The reader endpoint for a DB cluster load-balances connections across the Aurora Replicas that are available in a DB cluster. As clients request new connections to the reader endpoint, Aurora distributes the connection requests among the Aurora Replicas in the DB cluster. This functionality can help balance your read workload across multiple Aurora Replicas in your DB cluster.
If a failover occurs, and the Aurora Replica that you are connected to is promoted to be the primary instance, your connection is dropped. To continue sending your read workload to other Aurora Replicas in the cluster, you can then reconnect to the reader endpoint.
', 'DBCluster$Engine' => 'The database engine used for this DB cluster.
', 'DBCluster$EngineVersion' => 'The version of the database engine.
', 'DBCluster$MasterUsername' => 'The master username for the DB cluster.
', 'DBCluster$PreferredBackupWindow' => 'The daily time range during which automated backups are created if automated backups are enabled, as determined by the BackupRetentionPeriod.
The weekly time range during which system maintenance can occur, in Universal Coordinated Time (UTC).
', 'DBCluster$ReplicationSourceIdentifier' => 'The identifier of the source DB cluster if this DB cluster is a read replica.
', 'DBCluster$HostedZoneId' => 'The ID that Amazon Route 53 assigns when you create a hosted zone.
', 'DBCluster$KmsKeyId' => 'If StorageEncrypted is enabled, the Amazon Web Services KMS key identifier for the encrypted DB cluster.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBCluster$DbClusterResourceId' => 'The Amazon Web Services Region-unique, immutable identifier for the DB cluster. This identifier is found in Amazon Web Services CloudTrail log entries whenever the KMS key for the DB cluster is accessed.
', 'DBCluster$DBClusterArn' => 'The Amazon Resource Name (ARN) for the DB cluster.
', 'DBCluster$CloneGroupId' => 'The ID of the clone group with which the DB cluster is associated.
', 'DBCluster$EngineMode' => 'The DB engine mode of the DB cluster, either provisioned or serverless.
For more information, see CreateDBCluster.
', 'DBCluster$ActivityStreamKmsKeyId' => 'The Amazon Web Services KMS key identifier used for encrypting messages in the database activity stream.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBCluster$ActivityStreamKinesisStreamName' => 'The name of the Amazon Kinesis data stream used for the database activity stream.
', 'DBCluster$DBClusterInstanceClass' => 'The name of the compute and memory capacity class of the DB instance.
This setting is only for non-Aurora Multi-AZ DB clusters.
', 'DBCluster$StorageType' => 'The storage type associated with the DB cluster.
', 'DBCluster$MonitoringRoleArn' => 'The ARN for the IAM role that permits RDS to send Enhanced Monitoring metrics to Amazon CloudWatch Logs.
This setting is only for Aurora DB clusters and Multi-AZ DB clusters.
', 'DBCluster$PerformanceInsightsKMSKeyId' => 'The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
This setting is only for Aurora DB clusters and Multi-AZ DB clusters.
', 'DBCluster$NetworkType' => 'The network type of the DB instance.
The network type is determined by the DBSubnetGroup specified for the DB cluster. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon Aurora User Guide.
This setting is only for Aurora DB clusters.
Valid Values: IPV4 | DUAL
Reserved for future use.
', 'DBCluster$AwsBackupRecoveryPointArn' => 'The Amazon Resource Name (ARN) of the recovery point in Amazon Web Services Backup.
', 'DBCluster$EngineLifecycleSupport' => 'The life cycle type for the DB cluster.
For more information, see CreateDBCluster.
', 'DBClusterAutomatedBackup$Engine' => 'The name of the database engine for this automated backup.
', 'DBClusterAutomatedBackup$VpcId' => 'The VPC ID associated with the DB cluster.
', 'DBClusterAutomatedBackup$DBClusterAutomatedBackupsArn' => 'The Amazon Resource Name (ARN) for the automated backups.
', 'DBClusterAutomatedBackup$DBClusterIdentifier' => 'The identifier for the source DB cluster, which can\'t be changed and which is unique to an Amazon Web Services Region.
', 'DBClusterAutomatedBackup$MasterUsername' => 'The master user name of the automated backup.
', 'DBClusterAutomatedBackup$DbClusterResourceId' => 'The resource ID for the source DB cluster, which can\'t be changed and which is unique to an Amazon Web Services Region.
', 'DBClusterAutomatedBackup$Region' => 'The Amazon Web Services Region associated with the automated backup.
', 'DBClusterAutomatedBackup$LicenseModel' => 'The license model information for this DB cluster automated backup.
', 'DBClusterAutomatedBackup$Status' => 'A list of status information for an automated backup:
retained - Automated backups for deleted clusters.
The version of the database engine for the automated backup.
', 'DBClusterAutomatedBackup$DBClusterArn' => 'The Amazon Resource Name (ARN) for the source DB cluster.
', 'DBClusterAutomatedBackup$EngineMode' => 'The engine mode of the database engine for the automated backup.
', 'DBClusterAutomatedBackup$KmsKeyId' => 'The Amazon Web Services KMS key ID for an automated backup.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBClusterAutomatedBackup$StorageType' => 'The storage type associated with the DB cluster.
This setting is only for non-Aurora Multi-AZ DB clusters.
', 'DBClusterAutomatedBackup$AwsBackupRecoveryPointArn' => 'The Amazon Resource Name (ARN) of the recovery point in Amazon Web Services Backup.
', 'DBClusterAutomatedBackupMessage$Marker' => 'The pagination token provided in the previous request. If this parameter is specified the response includes only records beyond the marker, up to MaxRecords.
Contains a user-supplied DB cluster identifier. This identifier is the unique key that identifies a DB cluster.
', 'DBClusterBacktrack$BacktrackIdentifier' => 'Contains the backtrack identifier.
', 'DBClusterBacktrack$Status' => 'The status of the backtrack. This property returns one of the following values:
applying - The backtrack is currently being applied to or rolled back from the DB cluster.
completed - The backtrack has successfully been applied to or rolled back from the DB cluster.
failed - An error occurred while the backtrack was applied to or rolled back from the DB cluster.
pending - The backtrack is currently pending application to or rollback from the DB cluster.
A pagination token that can be used in a later DescribeDBClusterBacktracks request.
A user-supplied DB cluster identifier. This identifier is the unique key that identifies a DB cluster.
', 'DBClusterCapacityInfo$TimeoutAction' => 'The timeout action of a call to ModifyCurrentDBClusterCapacity, either ForceApplyCapacityChange or RollbackCapacityChange.
The identifier associated with the endpoint. This parameter is stored as a lowercase string.
', 'DBClusterEndpoint$DBClusterIdentifier' => 'The DB cluster identifier of the DB cluster associated with the endpoint. This parameter is stored as a lowercase string.
', 'DBClusterEndpoint$DBClusterEndpointResourceIdentifier' => 'A unique system-generated identifier for an endpoint. It remains the same for the whole life of the endpoint.
', 'DBClusterEndpoint$Endpoint' => 'The DNS address of the endpoint.
', 'DBClusterEndpoint$Status' => 'The current status of the endpoint. One of: creating, available, deleting, inactive, modifying. The inactive state applies to an endpoint that can\'t be used for a certain kind of cluster, such as a writer endpoint for a read-only secondary cluster in a global database.
The type of the endpoint. One of: READER, WRITER, CUSTOM.
The type associated with a custom endpoint. One of: READER, WRITER, ANY.
The Amazon Resource Name (ARN) for the endpoint.
', 'DBClusterEndpointMessage$Marker' => 'An optional pagination token provided by a previous DescribeDBClusterEndpoints request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
Specifies the instance identifier for this member of the DB cluster.
', 'DBClusterMember$DBClusterParameterGroupStatus' => 'Specifies the status of the DB cluster parameter group for this member of the DB cluster.
', 'DBClusterMessage$Marker' => 'A pagination token that can be used in a later DescribeDBClusters request.
Specifies the name of the DB cluster option group.
', 'DBClusterOptionGroupStatus$Status' => 'Specifies the status of the DB cluster option group.
', 'DBClusterParameterGroup$DBClusterParameterGroupName' => 'The name of the DB cluster parameter group.
', 'DBClusterParameterGroup$DBParameterGroupFamily' => 'The name of the DB parameter group family that this DB cluster parameter group is compatible with.
', 'DBClusterParameterGroup$Description' => 'Provides the customer-specified description for this DB cluster parameter group.
', 'DBClusterParameterGroup$DBClusterParameterGroupArn' => 'The Amazon Resource Name (ARN) for the DB cluster parameter group.
', 'DBClusterParameterGroupDetails$Marker' => 'An optional pagination token provided by a previous DescribeDBClusterParameters request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the DB cluster parameter group.
Constraints:
Must be 1 to 255 letters or numbers.
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
This value is stored as a lowercase string.
An optional pagination token provided by a previous DescribeDBClusterParameterGroups request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The Amazon Resource Name (ARN) of the IAM role that is associated with the DB cluster.
', 'DBClusterRole$Status' => 'Describes the state of association between the IAM role and the DB cluster. The Status property returns one of the following values:
ACTIVE - the IAM role ARN is associated with the DB cluster and can be used to access other Amazon Web Services on your behalf.
PENDING - the IAM role ARN is being associated with the DB cluster.
INVALID - the IAM role ARN is associated with the DB cluster, but the DB cluster is unable to assume the IAM role in order to access other Amazon Web Services on your behalf.
The name of the feature associated with the Amazon Web Services Identity and Access Management (IAM) role. For information about supported feature names, see DBEngineVersion.
', 'DBClusterSnapshot$DBClusterSnapshotIdentifier' => 'The identifier for the DB cluster snapshot.
', 'DBClusterSnapshot$DBClusterIdentifier' => 'The DB cluster identifier of the DB cluster that this DB cluster snapshot was created from.
', 'DBClusterSnapshot$Engine' => 'The name of the database engine for this DB cluster snapshot.
', 'DBClusterSnapshot$EngineMode' => 'The engine mode of the database engine for this DB cluster snapshot.
', 'DBClusterSnapshot$Status' => 'The status of this DB cluster snapshot. Valid statuses are the following:
available
copying
creating
The VPC ID associated with the DB cluster snapshot.
', 'DBClusterSnapshot$MasterUsername' => 'The master username for this DB cluster snapshot.
', 'DBClusterSnapshot$EngineVersion' => 'The version of the database engine for this DB cluster snapshot.
', 'DBClusterSnapshot$LicenseModel' => 'The license model information for this DB cluster snapshot.
', 'DBClusterSnapshot$SnapshotType' => 'The type of the DB cluster snapshot.
', 'DBClusterSnapshot$KmsKeyId' => 'If StorageEncrypted is true, the Amazon Web Services KMS key identifier for the encrypted DB cluster snapshot.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBClusterSnapshot$DBClusterSnapshotArn' => 'The Amazon Resource Name (ARN) for the DB cluster snapshot.
', 'DBClusterSnapshot$SourceDBClusterSnapshotArn' => 'If the DB cluster snapshot was copied from a source DB cluster snapshot, the Amazon Resource Name (ARN) for the source DB cluster snapshot, otherwise, a null value.
', 'DBClusterSnapshot$DBSystemId' => 'Reserved for future use.
', 'DBClusterSnapshot$StorageType' => 'The storage type associated with the DB cluster snapshot.
This setting is only for Aurora DB clusters.
', 'DBClusterSnapshot$DbClusterResourceId' => 'The resource ID of the DB cluster that this DB cluster snapshot was created from.
', 'DBClusterSnapshotAttribute$AttributeName' => 'The name of the manual DB cluster snapshot attribute.
The attribute named restore refers to the list of Amazon Web Services accounts that have permission to copy or restore the manual DB cluster snapshot. For more information, see the ModifyDBClusterSnapshotAttribute API action.
The identifier of the manual DB cluster snapshot that the attributes apply to.
', 'DBClusterSnapshotMessage$Marker' => 'An optional pagination token provided by a previous DescribeDBClusterSnapshots request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
Reserved for future use.
', 'DBClusterStatusInfo$Status' => 'Reserved for future use.
', 'DBClusterStatusInfo$Message' => 'Reserved for future use.
', 'DBEngineVersion$Engine' => 'The name of the database engine.
', 'DBEngineVersion$EngineVersion' => 'The version number of the database engine.
', 'DBEngineVersion$DBParameterGroupFamily' => 'The name of the DB parameter group family for the database engine.
', 'DBEngineVersion$DBEngineDescription' => 'The description of the database engine.
', 'DBEngineVersion$DBEngineVersionDescription' => 'The description of the database engine version.
', 'DBEngineVersion$DBEngineMediaType' => 'A value that indicates the source media provider of the AMI based on the usage operation. Applicable for RDS Custom for SQL Server.
', 'DBEngineVersion$Status' => 'The status of the DB engine version, either available or deprecated.
The major engine version of the CEV.
', 'DBEngineVersion$DatabaseInstallationFilesS3BucketName' => 'The name of the Amazon S3 bucket that contains your database installation files.
', 'DBEngineVersion$DatabaseInstallationFilesS3Prefix' => 'The Amazon S3 directory that contains the database installation files. If not specified, then no prefix is assumed.
', 'DBEngineVersion$DBEngineVersionArn' => 'The ARN of the custom engine version.
', 'DBEngineVersion$KMSKeyId' => 'The Amazon Web Services KMS key identifier for an encrypted CEV. This parameter is required for RDS Custom, but optional for Amazon RDS.
', 'DBEngineVersionMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The user-supplied database identifier. This identifier is the unique key that identifies a DB instance.
', 'DBInstance$DBInstanceClass' => 'The name of the compute and memory capacity class of the DB instance.
', 'DBInstance$Engine' => 'The database engine used for this DB instance.
', 'DBInstance$DBInstanceStatus' => 'The current state of this database.
For information about DB instance statuses, see Viewing DB instance status in the Amazon RDS User Guide.
', 'DBInstance$MasterUsername' => 'The master username for the DB instance.
', 'DBInstance$DBName' => 'The initial database name that you provided (if required) when you created the DB instance. This name is returned for the life of your DB instance. For an RDS for Oracle CDB instance, the name identifies the PDB rather than the CDB.
', 'DBInstance$PreferredBackupWindow' => 'The daily time range during which automated backups are created if automated backups are enabled, as determined by the BackupRetentionPeriod.
The name of the Availability Zone where the DB instance is located.
', 'DBInstance$PreferredMaintenanceWindow' => 'The weekly time range during which system maintenance can occur, in Universal Coordinated Time (UTC).
', 'DBInstance$EngineVersion' => 'The version of the database engine.
', 'DBInstance$ReadReplicaSourceDBInstanceIdentifier' => 'The identifier of the source DB instance if this DB instance is a read replica.
', 'DBInstance$LicenseModel' => 'The license model information for this DB instance. This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
', 'DBInstance$CharacterSetName' => 'If present, specifies the name of the character set that this instance is associated with.
', 'DBInstance$NcharCharacterSetName' => 'The name of the NCHAR character set for the Oracle DB instance. This character set specifies the Unicode encoding for data stored in table columns of type NCHAR, NCLOB, or NVARCHAR2.
', 'DBInstance$SecondaryAvailabilityZone' => 'If present, specifies the name of the secondary Availability Zone for a DB instance with multi-AZ support.
', 'DBInstance$StorageType' => 'The storage type associated with the DB instance.
', 'DBInstance$TdeCredentialArn' => 'The ARN from the key store with which the instance is associated for TDE encryption.
', 'DBInstance$DBClusterIdentifier' => 'If the DB instance is a member of a DB cluster, indicates the name of the DB cluster that the DB instance is a member of.
', 'DBInstance$KmsKeyId' => 'If StorageEncrypted is enabled, the Amazon Web Services KMS key identifier for the encrypted DB instance.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBInstance$DbiResourceId' => 'The Amazon Web Services Region-unique, immutable identifier for the DB instance. This identifier is found in Amazon Web Services CloudTrail log entries whenever the Amazon Web Services KMS key for the DB instance is accessed.
', 'DBInstance$CACertificateIdentifier' => 'The identifier of the CA certificate for this DB instance.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'DBInstance$EnhancedMonitoringResourceArn' => 'The Amazon Resource Name (ARN) of the Amazon CloudWatch Logs log stream that receives the Enhanced Monitoring metrics data for the DB instance.
', 'DBInstance$MonitoringRoleArn' => 'The ARN for the IAM role that permits RDS to send Enhanced Monitoring metrics to Amazon CloudWatch Logs.
', 'DBInstance$DBInstanceArn' => 'The Amazon Resource Name (ARN) for the DB instance.
', 'DBInstance$Timezone' => 'The time zone of the DB instance. In most cases, the Timezone element is empty. Timezone content appears only for RDS for Db2 and RDS for SQL Server DB instances that were created with a time zone specified.
The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBInstance$AwsBackupRecoveryPointArn' => 'The Amazon Resource Name (ARN) of the recovery point in Amazon Web Services Backup.
', 'DBInstance$ActivityStreamKmsKeyId' => 'The Amazon Web Services KMS key identifier used for encrypting messages in the database activity stream. The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBInstance$ActivityStreamKinesisStreamName' => 'The name of the Amazon Kinesis data stream used for the database activity stream.
', 'DBInstance$CustomIamInstanceProfile' => 'The instance profile associated with the underlying Amazon EC2 instance of an RDS Custom DB instance. The instance profile must meet the following requirements:
The profile must exist in your account.
The profile must have an IAM role that Amazon EC2 has permissions to assume.
The instance profile name and the associated IAM role name must start with the prefix AWSRDSCustom.
For the list of permissions required for the IAM role, see Configure IAM and your VPC in the Amazon RDS User Guide.
', 'DBInstance$BackupTarget' => 'The location where automated backups and manual snapshots are stored: Amazon Web Services Outposts or the Amazon Web Services Region.
', 'DBInstance$NetworkType' => 'The network type of the DB instance.
The network type is determined by the DBSubnetGroup specified for the DB instance. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide and Working with a DB instance in a VPC in the Amazon Aurora User Guide.
Valid Values: IPV4 | DUAL
The Oracle system ID (Oracle SID) for a container database (CDB). The Oracle SID is also the name of the CDB. This setting is only valid for RDS Custom DB instances.
', 'DBInstance$ReadReplicaSourceDBClusterIdentifier' => 'The identifier of the source DB cluster if this DB instance is a read replica.
', 'DBInstance$PercentProgress' => 'The progress of the storage optimization operation as a percentage.
', 'DBInstance$EngineLifecycleSupport' => 'The life cycle type for the DB instance.
For more information, see CreateDBInstance.
', 'DBInstanceAutomatedBackup$DBInstanceArn' => 'The Amazon Resource Name (ARN) for the automated backups.
', 'DBInstanceAutomatedBackup$DbiResourceId' => 'The resource ID for the source DB instance, which can\'t be changed and which is unique to an Amazon Web Services Region.
', 'DBInstanceAutomatedBackup$Region' => 'The Amazon Web Services Region associated with the automated backup.
', 'DBInstanceAutomatedBackup$DBInstanceIdentifier' => 'The identifier for the source DB instance, which can\'t be changed and which is unique to an Amazon Web Services Region.
', 'DBInstanceAutomatedBackup$Status' => 'A list of status information for an automated backup:
active - Automated backups for current instances.
retained - Automated backups for deleted instances.
creating - Automated backups that are waiting for the first automated snapshot to be available.
The Availability Zone that the automated backup was created in. For information on Amazon Web Services Regions and Availability Zones, see Regions and Availability Zones.
', 'DBInstanceAutomatedBackup$VpcId' => 'The VPC ID associated with the DB instance.
', 'DBInstanceAutomatedBackup$MasterUsername' => 'The master user name of an automated backup.
', 'DBInstanceAutomatedBackup$Engine' => 'The name of the database engine for this automated backup.
', 'DBInstanceAutomatedBackup$EngineVersion' => 'The version of the database engine for the automated backup.
', 'DBInstanceAutomatedBackup$LicenseModel' => 'The license model information for the automated backup.
', 'DBInstanceAutomatedBackup$OptionGroupName' => 'The option group the automated backup is associated with. If omitted, the default option group for the engine specified is used.
', 'DBInstanceAutomatedBackup$TdeCredentialArn' => 'The ARN from the key store with which the automated backup is associated for TDE encryption.
', 'DBInstanceAutomatedBackup$StorageType' => 'The storage type associated with the automated backup.
', 'DBInstanceAutomatedBackup$KmsKeyId' => 'The Amazon Web Services KMS key ID for an automated backup.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBInstanceAutomatedBackup$Timezone' => 'The time zone of the automated backup. In most cases, the Timezone element is empty. Timezone content appears only for Microsoft SQL Server DB instances that were created with a time zone specified.
The Amazon Resource Name (ARN) for the replicated automated backups.
', 'DBInstanceAutomatedBackup$BackupTarget' => 'The location where automated backups are stored: Amazon Web Services Outposts or the Amazon Web Services Region.
', 'DBInstanceAutomatedBackup$AwsBackupRecoveryPointArn' => 'The Amazon Resource Name (ARN) of the recovery point in Amazon Web Services Backup.
', 'DBInstanceAutomatedBackupMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The Amazon Resource Name (ARN) of the replicated automated backups.
', 'DBInstanceMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords .
The Amazon Resource Name (ARN) of the IAM role that is associated with the DB instance.
', 'DBInstanceRole$FeatureName' => 'The name of the feature associated with the Amazon Web Services Identity and Access Management (IAM) role. For information about supported feature names, see DBEngineVersion.
Information about the state of association between the IAM role and the DB instance. The Status property returns one of the following values:
ACTIVE - the IAM role ARN is associated with the DB instance and can be used to access other Amazon Web Services services on your behalf.
PENDING - the IAM role ARN is being associated with the DB instance.
INVALID - the IAM role ARN is associated with the DB instance, but the DB instance is unable to assume the IAM role in order to access other Amazon Web Services services on your behalf.
This value is currently "read replication."
', 'DBInstanceStatusInfo$Status' => 'The status of the DB instance. For a StatusType of read replica, the values can be replicating, replication stop point set, replication stop point reached, error, stopped, or terminated.
', 'DBInstanceStatusInfo$Message' => 'Details of the error if there is an error for the instance. If the instance isn\'t in an error state, this value is blank.
', 'DBParameterGroup$DBParameterGroupName' => 'The name of the DB parameter group.
', 'DBParameterGroup$DBParameterGroupFamily' => 'The name of the DB parameter group family that this DB parameter group is compatible with.
', 'DBParameterGroup$Description' => 'Provides the customer-specified description for this DB parameter group.
', 'DBParameterGroup$DBParameterGroupArn' => 'The Amazon Resource Name (ARN) for the DB parameter group.
', 'DBParameterGroupDetails$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the DB parameter group.
', 'DBParameterGroupStatus$DBParameterGroupName' => 'The name of the DB parameter group.
', 'DBParameterGroupStatus$ParameterApplyStatus' => 'The status of parameter updates. Valid values are:
applying: The parameter group change is being applied to the database.
failed-to-apply: The parameter group is in an invalid state.
in-sync: The parameter group change is synchronized with the database.
pending-database-upgrade: The parameter group change will be applied after the DB instance is upgraded.
pending-reboot: The parameter group change will be applied after the DB instance reboots.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The identifier for the proxy. This name must be unique for all proxies owned by your Amazon Web Services account in the specified Amazon Web Services Region.
', 'DBProxy$DBProxyArn' => 'The Amazon Resource Name (ARN) for the proxy.
', 'DBProxy$EngineFamily' => 'The kinds of databases that the proxy can connect to. This value determines which database network protocol the proxy recognizes when it interprets network traffic to and from the database. MYSQL supports Aurora MySQL, RDS for MariaDB, and RDS for MySQL databases. POSTGRESQL supports Aurora PostgreSQL and RDS for PostgreSQL databases. SQLSERVER supports RDS for Microsoft SQL Server databases.
Provides the VPC ID of the DB proxy.
', 'DBProxy$RoleArn' => 'The Amazon Resource Name (ARN) for the IAM role that the proxy uses to access Amazon Secrets Manager.
', 'DBProxy$Endpoint' => 'The endpoint that you can use to connect to the DB proxy. You include the endpoint value in the connection string for a database client application.
', 'DBProxyEndpoint$DBProxyEndpointName' => 'The name for the DB proxy endpoint. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens; it can\'t end with a hyphen or contain two consecutive hyphens.
', 'DBProxyEndpoint$DBProxyEndpointArn' => 'The Amazon Resource Name (ARN) for the DB proxy endpoint.
', 'DBProxyEndpoint$DBProxyName' => 'The identifier for the DB proxy that is associated with this DB proxy endpoint.
', 'DBProxyEndpoint$VpcId' => 'Provides the VPC ID of the DB proxy endpoint.
', 'DBProxyEndpoint$Endpoint' => 'The endpoint that you can use to connect to the DB proxy. You include the endpoint value in the connection string for a database client application.
', 'DBProxyTarget$TargetArn' => 'The Amazon Resource Name (ARN) for the RDS DB instance or Aurora DB cluster.
', 'DBProxyTarget$Endpoint' => 'The writer endpoint for the RDS DB instance or Aurora DB cluster.
', 'DBProxyTarget$TrackedClusterId' => 'The DB cluster identifier when the target represents an Aurora DB cluster. This field is blank when the target represents an RDS DB instance.
', 'DBProxyTarget$RdsResourceId' => 'The identifier representing the target. It can be the instance identifier for an RDS DB instance, or the cluster identifier for an Aurora DB cluster.
', 'DBProxyTargetGroup$DBProxyName' => 'The identifier for the RDS proxy associated with this target group.
', 'DBProxyTargetGroup$TargetGroupName' => 'The identifier for the target group. This name must be unique for all target groups owned by your Amazon Web Services account in the specified Amazon Web Services Region.
', 'DBProxyTargetGroup$TargetGroupArn' => 'The Amazon Resource Name (ARN) representing the target group.
', 'DBProxyTargetGroup$Status' => 'The current status of this target group. A status of available means the target group is correctly associated with a database. Other values indicate that you must wait for the target group to be ready, or take some action to resolve an issue.
The unique identifier of the recommendation.
', 'DBRecommendation$TypeId' => 'A value that indicates the type of recommendation. This value determines how the description is rendered.
', 'DBRecommendation$Severity' => 'The severity level of the recommendation. The severity level can help you decide the urgency with which to address the recommendation.
Valid values:
high
medium
low
informational
The Amazon Resource Name (ARN) of the RDS resource associated with the recommendation.
', 'DBRecommendation$Status' => 'The current status of the recommendation.
Valid values:
active - The recommendations which are ready for you to apply.
pending - The applied or scheduled recommendations which are in progress.
resolved - The recommendations which are completed.
dismissed - The recommendations that you dismissed.
A short description of the issue identified for this recommendation. The description might contain markdown.
', 'DBRecommendation$Recommendation' => 'A short description of the recommendation to resolve an issue. The description might contain markdown.
', 'DBRecommendation$Description' => 'A detailed description of the recommendation. The description might contain markdown.
', 'DBRecommendation$Reason' => 'The reason why this recommendation was created. The information might contain markdown.
', 'DBRecommendation$Category' => 'The category of the recommendation.
Valid values:
performance efficiency
security
reliability
cost optimization
operational excellence
sustainability
The Amazon Web Services service that generated the recommendations.
', 'DBRecommendation$TypeDetection' => 'A short description of the recommendation type. The description might contain markdown.
', 'DBRecommendation$TypeRecommendation' => 'A short description that summarizes the recommendation to fix all the issues of the recommendation type. The description might contain markdown.
', 'DBRecommendation$Impact' => 'A short description that explains the possible impact of an issue.
', 'DBRecommendation$AdditionalInfo' => 'Additional information about the recommendation. The information might contain markdown.
', 'DBRecommendationsMessage$Marker' => 'An optional pagination token provided by a previous DBRecommendationsMessage request. This token can be used later in a DescribeDBRecomendations request.
Provides the Amazon Web Services ID of the owner of a specific DB security group.
', 'DBSecurityGroup$DBSecurityGroupName' => 'Specifies the name of the DB security group.
', 'DBSecurityGroup$DBSecurityGroupDescription' => 'Provides the description of the DB security group.
', 'DBSecurityGroup$VpcId' => 'Provides the VpcId of the DB security group.
', 'DBSecurityGroup$DBSecurityGroupArn' => 'The Amazon Resource Name (ARN) for the DB security group.
', 'DBSecurityGroupMembership$DBSecurityGroupName' => 'The name of the DB security group.
', 'DBSecurityGroupMembership$Status' => 'The status of the DB security group.
', 'DBSecurityGroupMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The Amazon Web Services Region-unique, immutable identifier for the DB shard group.
', 'DBShardGroup$DBClusterIdentifier' => 'The name of the primary DB cluster for the DB shard group.
', 'DBShardGroup$Status' => 'The status of the DB shard group.
', 'DBShardGroup$Endpoint' => 'The connection endpoint for the DB shard group.
', 'DBShardGroup$DBShardGroupArn' => 'The Amazon Resource Name (ARN) for the DB shard group.
', 'DBSnapshot$DBSnapshotIdentifier' => 'Specifies the identifier for the DB snapshot.
', 'DBSnapshot$DBInstanceIdentifier' => 'Specifies the DB instance identifier of the DB instance this DB snapshot was created from.
', 'DBSnapshot$Engine' => 'Specifies the name of the database engine.
', 'DBSnapshot$Status' => 'Specifies the status of this DB snapshot.
', 'DBSnapshot$AvailabilityZone' => 'Specifies the name of the Availability Zone the DB instance was located in at the time of the DB snapshot.
', 'DBSnapshot$VpcId' => 'Provides the VPC ID associated with the DB snapshot.
', 'DBSnapshot$MasterUsername' => 'Provides the master username for the DB snapshot.
', 'DBSnapshot$EngineVersion' => 'Specifies the version of the database engine.
', 'DBSnapshot$LicenseModel' => 'License model information for the restored DB instance.
', 'DBSnapshot$SnapshotType' => 'Provides the type of the DB snapshot.
', 'DBSnapshot$OptionGroupName' => 'Provides the option group name for the DB snapshot.
', 'DBSnapshot$SourceRegion' => 'The Amazon Web Services Region that the DB snapshot was created in or copied from.
', 'DBSnapshot$SourceDBSnapshotIdentifier' => 'The DB snapshot Amazon Resource Name (ARN) that the DB snapshot was copied from. It only has a value in the case of a cross-account or cross-Region copy.
', 'DBSnapshot$StorageType' => 'Specifies the storage type associated with DB snapshot.
', 'DBSnapshot$TdeCredentialArn' => 'The ARN from the key store with which to associate the instance for TDE encryption.
', 'DBSnapshot$KmsKeyId' => 'If Encrypted is true, the Amazon Web Services KMS key identifier for the encrypted DB snapshot.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'DBSnapshot$DBSnapshotArn' => 'The Amazon Resource Name (ARN) for the DB snapshot.
', 'DBSnapshot$Timezone' => 'The time zone of the DB snapshot. In most cases, the Timezone element is empty. Timezone content appears only for snapshots taken from Microsoft SQL Server DB instances that were created with a time zone specified.
The identifier for the source DB instance, which can\'t be changed and which is unique to an Amazon Web Services Region.
', 'DBSnapshot$SnapshotTarget' => 'Specifies where manual snapshots are stored: Amazon Web Services Outposts or the Amazon Web Services Region.
', 'DBSnapshot$DBSystemId' => 'The Oracle system identifier (SID), which is the name of the Oracle database instance that manages your database files. The Oracle SID is also the name of your CDB.
', 'DBSnapshotAttribute$AttributeName' => 'The name of the manual DB snapshot attribute.
The attribute named restore refers to the list of Amazon Web Services accounts that have permission to copy or restore the manual DB cluster snapshot. For more information, see the ModifyDBSnapshotAttribute API action.
The identifier of the manual DB snapshot that the attributes apply to.
', 'DBSnapshotMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The identifier for the snapshot of the DB instance.
', 'DBSnapshotTenantDatabase$DBInstanceIdentifier' => 'The ID for the DB instance that contains the tenant databases.
', 'DBSnapshotTenantDatabase$DbiResourceId' => 'The resource identifier of the source CDB instance. This identifier can\'t be changed and is unique to an Amazon Web Services Region.
', 'DBSnapshotTenantDatabase$EngineName' => 'The name of the database engine.
', 'DBSnapshotTenantDatabase$SnapshotType' => 'The type of DB snapshot.
', 'DBSnapshotTenantDatabase$TenantDBName' => 'The name of the tenant database.
', 'DBSnapshotTenantDatabase$MasterUsername' => 'The master username of the tenant database.
', 'DBSnapshotTenantDatabase$TenantDatabaseResourceId' => 'The resource ID of the tenant database.
', 'DBSnapshotTenantDatabase$CharacterSetName' => 'The name of the character set of a tenant database.
', 'DBSnapshotTenantDatabase$DBSnapshotTenantDatabaseARN' => 'The Amazon Resource Name (ARN) for the snapshot tenant database.
', 'DBSnapshotTenantDatabase$NcharCharacterSetName' => 'The NCHAR character set name of the tenant database.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the DB subnet group.
', 'DBSubnetGroup$DBSubnetGroupDescription' => 'Provides the description of the DB subnet group.
', 'DBSubnetGroup$VpcId' => 'Provides the VpcId of the DB subnet group.
', 'DBSubnetGroup$SubnetGroupStatus' => 'Provides the status of the DB subnet group.
', 'DBSubnetGroup$DBSubnetGroupArn' => 'The Amazon Resource Name (ARN) for the DB subnet group.
', 'DBSubnetGroupMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The identifier for the source DB cluster, which can\'t be changed and which is unique to an Amazon Web Services Region.
', 'DeleteDBClusterEndpointMessage$DBClusterEndpointIdentifier' => 'The identifier associated with the custom endpoint. This parameter is stored as a lowercase string.
', 'DeleteDBClusterMessage$DBClusterIdentifier' => 'The DB cluster identifier for the DB cluster to be deleted. This parameter isn\'t case-sensitive.
Constraints:
Must match an existing DBClusterIdentifier.
The DB cluster snapshot identifier of the new DB cluster snapshot created when SkipFinalSnapshot is disabled.
If you specify this parameter and also skip the creation of a final DB cluster snapshot with the SkipFinalShapshot parameter, the request results in an error.
Constraints:
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
The name of the DB cluster parameter group.
Constraints:
Must be the name of an existing DB cluster parameter group.
You can\'t delete a default DB cluster parameter group.
Can\'t be associated with any DB clusters.
The identifier of the DB cluster snapshot to delete.
Constraints: Must be the name of an existing DB cluster snapshot in the available state.
The identifier for the source DB instance, which can\'t be changed and which is unique to an Amazon Web Services Region.
', 'DeleteDBInstanceAutomatedBackupMessage$DBInstanceAutomatedBackupsArn' => 'The Amazon Resource Name (ARN) of the automated backups to delete, for example, arn:aws:rds:us-east-1:123456789012:auto-backup:ab-L2IJCEXJP7XQ7HOJ4SIEXAMPLE.
This setting doesn\'t apply to RDS Custom.
', 'DeleteDBInstanceMessage$DBInstanceIdentifier' => 'The DB instance identifier for the DB instance to be deleted. This parameter isn\'t case-sensitive.
Constraints:
Must match the name of an existing DB instance.
The DBSnapshotIdentifier of the new DBSnapshot created when the SkipFinalSnapshot parameter is disabled.
If you enable this parameter and also enable SkipFinalShapshot, the command results in an error.
This setting doesn\'t apply to RDS Custom.
Constraints:
Must be 1 to 255 letters or numbers.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Can\'t be specified when deleting a read replica.
The name of the DB parameter group.
Constraints:
Must be the name of an existing DB parameter group
You can\'t delete a default DB parameter group
Can\'t be associated with any DB instances
The name of the DB proxy to delete.
', 'DeleteDBSecurityGroupMessage$DBSecurityGroupName' => 'The name of the DB security group to delete.
You can\'t delete the default DB security group.
Constraints:
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Must not be "Default"
The DB snapshot identifier.
Constraints: Must be the name of an existing DB snapshot in the available state.
The name of the database subnet group to delete.
You can\'t delete the default subnet group.
Constraints: Must match the name of an existing DBSubnetGroup. Must not be default.
Example: mydbsubnetgroup
The name of the RDS event notification subscription you want to delete.
', 'DeleteGlobalClusterMessage$GlobalClusterIdentifier' => 'The cluster identifier of the global database cluster being deleted.
', 'DeleteOptionGroupMessage$OptionGroupName' => 'The name of the option group to be deleted.
You can\'t delete default option groups.
The user-supplied identifier for the DB instance that contains the tenant database that you want to delete.
', 'DeleteTenantDatabaseMessage$TenantDBName' => 'The user-supplied name of the tenant database that you want to remove from your DB instance. Amazon RDS deletes the tenant database with this name. This parameter isn’t case-sensitive.
', 'DeleteTenantDatabaseMessage$FinalDBSnapshotIdentifier' => 'The DBSnapshotIdentifier of the new DBSnapshot created when the SkipFinalSnapshot parameter is disabled.
If you enable this parameter and also enable SkipFinalShapshot, the command results in an error.
The identifier of the DBProxy that is associated with the DBProxyTargetGroup.
The identifier of the DBProxyTargetGroup.
An optional pagination token provided by a previous DescribeBlueGreenDeployments request. If you specify this parameter, the response only includes records beyond the marker, up to the value specified by MaxRecords.
A pagination token that can be used in a later DescribeBlueGreenDeployments request.
The user-supplied certificate identifier. If this parameter is specified, information for only the identified certificate is returned. This parameter isn\'t case-sensitive.
Constraints:
Must match an existing CertificateIdentifier.
An optional pagination token provided by a previous DescribeCertificates request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The resource ID of the DB cluster that is the source of the automated backup. This parameter isn\'t case-sensitive.
', 'DescribeDBClusterAutomatedBackupsMessage$DBClusterIdentifier' => '(Optional) The user-supplied DB cluster identifier. If this parameter is specified, it must match the identifier of an existing DB cluster. It returns information from the specific DB cluster\'s automated backup. This parameter isn\'t case-sensitive.
', 'DescribeDBClusterAutomatedBackupsMessage$Marker' => 'The pagination token provided in the previous request. If this parameter is specified the response includes only records beyond the marker, up to MaxRecords.
The DB cluster identifier of the DB cluster to be described. This parameter is stored as a lowercase string.
Constraints:
Must contain from 1 to 63 alphanumeric characters or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-cluster1
If specified, this value is the backtrack identifier of the backtrack to be described.
Constraints:
Must contain a valid universally unique identifier (UUID). For more information about UUIDs, see Universally unique identifier.
Example: 123e4567-e89b-12d3-a456-426655440000
An optional pagination token provided by a previous DescribeDBClusterBacktracks request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The DB cluster identifier of the DB cluster associated with the endpoint. This parameter is stored as a lowercase string.
', 'DescribeDBClusterEndpointsMessage$DBClusterEndpointIdentifier' => 'The identifier of the endpoint to describe. This parameter is stored as a lowercase string.
', 'DescribeDBClusterEndpointsMessage$Marker' => 'An optional pagination token provided by a previous DescribeDBClusterEndpoints request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of a specific DB cluster parameter group to return details for.
Constraints:
If supplied, must match the name of an existing DBClusterParameterGroup.
An optional pagination token provided by a previous DescribeDBClusterParameterGroups request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of a specific DB cluster parameter group to return parameter details for.
Constraints:
If supplied, must match the name of an existing DBClusterParameterGroup.
A specific source to return parameters for.
Valid Values:
engine-default
system
user
An optional pagination token provided by a previous DescribeDBClusterParameters request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The identifier for the DB cluster snapshot to describe the attributes for.
', 'DescribeDBClusterSnapshotsMessage$DBClusterIdentifier' => 'The ID of the DB cluster to retrieve the list of DB cluster snapshots for. This parameter can\'t be used in conjunction with the DBClusterSnapshotIdentifier parameter. This parameter isn\'t case-sensitive.
Constraints:
If supplied, must match the identifier of an existing DBCluster.
A specific DB cluster snapshot identifier to describe. This parameter can\'t be used in conjunction with the DBClusterIdentifier parameter. This value is stored as a lowercase string.
Constraints:
If supplied, must match the identifier of an existing DBClusterSnapshot.
If this identifier is for an automated snapshot, the SnapshotType parameter must also be specified.
The type of DB cluster snapshots to be returned. You can specify one of the following values:
automated - Return all DB cluster snapshots that have been automatically taken by Amazon RDS for my Amazon Web Services account.
manual - Return all DB cluster snapshots that have been taken by my Amazon Web Services account.
shared - Return all manual DB cluster snapshots that have been shared to my Amazon Web Services account.
public - Return all DB cluster snapshots that have been marked as public.
If you don\'t specify a SnapshotType value, then both automated and manual DB cluster snapshots are returned. You can include shared DB cluster snapshots with these results by enabling the IncludeShared parameter. You can include public DB cluster snapshots with these results by enabling the IncludePublic parameter.
The IncludeShared and IncludePublic parameters don\'t apply for SnapshotType values of manual or automated. The IncludePublic parameter doesn\'t apply when SnapshotType is set to shared. The IncludeShared parameter doesn\'t apply when SnapshotType is set to public.
An optional pagination token provided by a previous DescribeDBClusterSnapshots request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
A specific DB cluster resource ID to describe.
', 'DescribeDBClustersMessage$DBClusterIdentifier' => 'The user-supplied DB cluster identifier or the Amazon Resource Name (ARN) of the DB cluster. If this parameter is specified, information for only the specific DB cluster is returned. This parameter isn\'t case-sensitive.
Constraints:
If supplied, must match an existing DB cluster identifier.
An optional pagination token provided by a previous DescribeDBClusters request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The database engine to return version details for.
Valid Values:
aurora-mysql
aurora-postgresql
custom-oracle-ee
custom-oracle-ee-cdb
custom-oracle-se2
custom-oracle-se2-cdb
db2-ae
db2-se
mariadb
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
A specific database engine version to return details for.
Example: 5.1.49
The name of a specific DB parameter group family to return details for.
Constraints:
If supplied, must match an existing DB parameter group family.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The resource ID of the DB instance that is the source of the automated backup. This parameter isn\'t case-sensitive.
', 'DescribeDBInstanceAutomatedBackupsMessage$DBInstanceIdentifier' => '(Optional) The user-supplied instance identifier. If this parameter is specified, it must match the identifier of an existing DB instance. It returns information from the specific DB instance\'s automated backup. This parameter isn\'t case-sensitive.
', 'DescribeDBInstanceAutomatedBackupsMessage$Marker' => 'The pagination token provided in the previous request. If this parameter is specified the response includes only records beyond the marker, up to MaxRecords.
The Amazon Resource Name (ARN) of the replicated automated backups, for example, arn:aws:rds:us-east-1:123456789012:auto-backup:ab-L2IJCEXJP7XQ7HOJ4SIEXAMPLE.
This setting doesn\'t apply to RDS Custom.
', 'DescribeDBInstancesMessage$DBInstanceIdentifier' => 'The user-supplied instance identifier or the Amazon Resource Name (ARN) of the DB instance. If this parameter is specified, information from only the specific DB instance is returned. This parameter isn\'t case-sensitive.
Constraints:
If supplied, must match the identifier of an existing DB instance.
An optional pagination token provided by a previous DescribeDBInstances request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the log file for the specified DB instance.
', 'DescribeDBLogFilesMessage$DBInstanceIdentifier' => 'The customer-assigned name of the DB instance that contains the log files you want to list.
Constraints:
Must match the identifier of an existing DBInstance.
Filters the available log files for log file names that contain the specified string.
', 'DescribeDBLogFilesMessage$Marker' => 'The pagination token provided in the previous request. If this parameter is specified the response includes only records beyond the marker, up to MaxRecords.
', 'DescribeDBLogFilesResponse$Marker' => 'A pagination token that can be used in a later DescribeDBLogFiles request.
The name of a specific DB parameter group to return details for.
Constraints:
If supplied, must match the name of an existing DBClusterParameterGroup.
An optional pagination token provided by a previous DescribeDBParameterGroups request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of a specific DB parameter group to return details for.
Constraints:
If supplied, must match the name of an existing DBParameterGroup.
The parameter types to return.
Default: All parameter types returned
Valid Values: user | system | engine-default
An optional pagination token provided by a previous DescribeDBParameters request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the DB proxy. If you omit this parameter, the output includes information about all DB proxies owned by your Amazon Web Services account ID.
', 'DescribeDBProxiesRequest$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The identifier of the DBProxy associated with the target group.
The identifier of the DBProxyTargetGroup to describe.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The identifier of the DBProxyTarget to describe.
The identifier of the DBProxyTargetGroup to describe.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The language that you choose to return the list of recommendations.
Valid values:
en
en_UK
de
es
fr
id
it
ja
ko
pt_BR
zh_TW
zh_CN
An optional pagination token provided by a previous DescribeDBRecommendations request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the DB security group to return details for.
', 'DescribeDBSecurityGroupsMessage$Marker' => 'An optional pagination token provided by a previous DescribeDBSecurityGroups request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
An optional pagination token provided by a previous DescribeDBShardGroups request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
A pagination token that can be used in a later DescribeDBClusters request.
The identifier for the DB snapshot to describe the attributes for.
', 'DescribeDBSnapshotTenantDatabasesMessage$DBInstanceIdentifier' => 'The ID of the DB instance used to create the DB snapshots. This parameter isn\'t case-sensitive.
Constraints:
If supplied, must match the identifier of an existing DBInstance.
The ID of a DB snapshot that contains the tenant databases to describe. This value is stored as a lowercase string.
Constraints:
If you specify this parameter, the value must match the ID of an existing DB snapshot.
If you specify an automatic snapshot, you must also specify SnapshotType.
The type of DB snapshots to be returned. You can specify one of the following values:
automated – All DB snapshots that have been automatically taken by Amazon RDS for my Amazon Web Services account.
manual – All DB snapshots that have been taken by my Amazon Web Services account.
shared – All manual DB snapshots that have been shared to my Amazon Web Services account.
public – All DB snapshots that have been marked as public.
awsbackup – All DB snapshots managed by the Amazon Web Services Backup service.
An optional pagination token provided by a previous DescribeDBSnapshotTenantDatabases request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
A specific DB resource identifier to describe.
', 'DescribeDBSnapshotsMessage$DBInstanceIdentifier' => 'The ID of the DB instance to retrieve the list of DB snapshots for. This parameter isn\'t case-sensitive.
Constraints:
If supplied, must match the identifier of an existing DBInstance.
A specific DB snapshot identifier to describe. This value is stored as a lowercase string.
Constraints:
If supplied, must match the identifier of an existing DBSnapshot.
If this identifier is for an automated snapshot, the SnapshotType parameter must also be specified.
The type of snapshots to be returned. You can specify one of the following values:
automated - Return all DB snapshots that have been automatically taken by Amazon RDS for my Amazon Web Services account.
manual - Return all DB snapshots that have been taken by my Amazon Web Services account.
shared - Return all manual DB snapshots that have been shared to my Amazon Web Services account.
public - Return all DB snapshots that have been marked as public.
awsbackup - Return the DB snapshots managed by the Amazon Web Services Backup service.
For information about Amazon Web Services Backup, see the Amazon Web Services Backup Developer Guide.
The awsbackup type does not apply to Aurora.
If you don\'t specify a SnapshotType value, then both automated and manual snapshots are returned. Shared and public DB snapshots are not included in the returned results by default. You can include shared snapshots with these results by enabling the IncludeShared parameter. You can include public snapshots with these results by enabling the IncludePublic parameter.
The IncludeShared and IncludePublic parameters don\'t apply for SnapshotType values of manual or automated. The IncludePublic parameter doesn\'t apply when SnapshotType is set to shared. The IncludeShared parameter doesn\'t apply when SnapshotType is set to public.
An optional pagination token provided by a previous DescribeDBSnapshots request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
A specific DB resource ID to describe.
', 'DescribeDBSubnetGroupsMessage$DBSubnetGroupName' => 'The name of the DB subnet group to return details for.
', 'DescribeDBSubnetGroupsMessage$Marker' => 'An optional pagination token provided by a previous DescribeDBSubnetGroups request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the DB cluster parameter group family to return engine parameter information for.
', 'DescribeEngineDefaultClusterParametersMessage$Marker' => 'An optional pagination token provided by a previous DescribeEngineDefaultClusterParameters request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the DB parameter group family.
Valid Values:
aurora-mysql5.7
aurora-mysql8.0
aurora-postgresql10
aurora-postgresql11
aurora-postgresql12
aurora-postgresql13
aurora-postgresql14
custom-oracle-ee-19
custom-oracle-ee-cdb-19
db2-ae
db2-se
mariadb10.2
mariadb10.3
mariadb10.4
mariadb10.5
mariadb10.6
mysql5.7
mysql8.0
oracle-ee-19
oracle-ee-cdb-19
oracle-ee-cdb-21
oracle-se2-19
oracle-se2-cdb-19
oracle-se2-cdb-21
postgres10
postgres11
postgres12
postgres13
postgres14
sqlserver-ee-11.0
sqlserver-ee-12.0
sqlserver-ee-13.0
sqlserver-ee-14.0
sqlserver-ee-15.0
sqlserver-ex-11.0
sqlserver-ex-12.0
sqlserver-ex-13.0
sqlserver-ex-14.0
sqlserver-ex-15.0
sqlserver-se-11.0
sqlserver-se-12.0
sqlserver-se-13.0
sqlserver-se-14.0
sqlserver-se-15.0
sqlserver-web-11.0
sqlserver-web-12.0
sqlserver-web-13.0
sqlserver-web-14.0
sqlserver-web-15.0
An optional pagination token provided by a previous DescribeEngineDefaultParameters request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The type of source that is generating the events. For RDS Proxy events, specify db-proxy.
Valid Values: db-instance | db-cluster | db-parameter-group | db-security-group | db-snapshot | db-cluster-snapshot | db-proxy
The name of the RDS event notification subscription you want to describe.
', 'DescribeEventSubscriptionsMessage$Marker' => 'An optional pagination token provided by a previous DescribeOrderableDBInstanceOptions request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords .
The identifier of the event source for which events are returned. If not specified, then all sources are included in the response.
Constraints:
If SourceIdentifier is supplied, SourceType must also be provided.
If the source type is a DB instance, a DBInstanceIdentifier value must be supplied.
If the source type is a DB cluster, a DBClusterIdentifier value must be supplied.
If the source type is a DB parameter group, a DBParameterGroupName value must be supplied.
If the source type is a DB security group, a DBSecurityGroupName value must be supplied.
If the source type is a DB snapshot, a DBSnapshotIdentifier value must be supplied.
If the source type is a DB cluster snapshot, a DBClusterSnapshotIdentifier value must be supplied.
If the source type is an RDS Proxy, a DBProxyName value must be supplied.
Can\'t end with a hyphen or contain two consecutive hyphens.
An optional pagination token provided by a previous DescribeEvents request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The identifier of the snapshot or cluster export task to be described.
', 'DescribeExportTasksMessage$SourceArn' => 'The Amazon Resource Name (ARN) of the snapshot or cluster exported to Amazon S3.
', 'DescribeExportTasksMessage$Marker' => 'An optional pagination token provided by a previous DescribeExportTasks request. If you specify this parameter, the response includes only records beyond the marker, up to the value specified by the MaxRecords parameter.
The user-supplied DB cluster identifier. If this parameter is specified, information from only the specific DB cluster is returned. This parameter isn\'t case-sensitive.
Constraints:
If supplied, must match an existing DBClusterIdentifier.
An optional pagination token provided by a previous DescribeGlobalClusters request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the engine to describe options for.
Valid Values:
db2-ae
db2-se
mariadb
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
If specified, filters the results to include only options for the specified major engine version.
', 'DescribeOptionGroupOptionsMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the option group to describe. Can\'t be supplied together with EngineName or MajorEngineVersion.
', 'DescribeOptionGroupsMessage$Marker' => 'An optional pagination token provided by a previous DescribeOptionGroups request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
A filter to only include option groups associated with this database engine.
Valid Values:
db2-ae
db2-se
mariadb
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
Filters the list of option groups to only include groups associated with a specific database engine version. If specified, then EngineName must also be specified.
', 'DescribeOrderableDBInstanceOptionsMessage$Engine' => 'The name of the database engine to describe DB instance options for.
Valid Values:
aurora-mysql
aurora-postgresql
custom-oracle-ee
custom-oracle-ee-cdb
custom-oracle-se2
custom-oracle-se2-cdb
db2-ae
db2-se
mariadb
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
A filter to include only the available options for the specified engine version.
', 'DescribeOrderableDBInstanceOptionsMessage$DBInstanceClass' => 'A filter to include only the available options for the specified DB instance class.
', 'DescribeOrderableDBInstanceOptionsMessage$LicenseModel' => 'A filter to include only the available options for the specified license model.
RDS Custom supports only the BYOL licensing model.
', 'DescribeOrderableDBInstanceOptionsMessage$AvailabilityZoneGroup' => 'The Availability Zone group associated with a Local Zone. Specify this parameter to retrieve available options for the Local Zones in the group.
Omit this parameter to show the available options in the specified Amazon Web Services Region.
This setting doesn\'t apply to RDS Custom DB instances.
', 'DescribeOrderableDBInstanceOptionsMessage$Marker' => 'An optional pagination token provided by a previous DescribeOrderableDBInstanceOptions request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The ARN of a resource to return pending maintenance actions for.
', 'DescribePendingMaintenanceActionsMessage$Marker' => 'An optional pagination token provided by a previous DescribePendingMaintenanceActions request. If this parameter is specified, the response includes only records beyond the marker, up to a number of records specified by MaxRecords.
The reserved DB instance identifier filter value. Specify this parameter to show only the reservation that matches the specified reservation ID.
', 'DescribeReservedDBInstancesMessage$ReservedDBInstancesOfferingId' => 'The offering identifier filter value. Specify this parameter to show only purchased reservations matching the specified offering identifier.
', 'DescribeReservedDBInstancesMessage$DBInstanceClass' => 'The DB instance class filter value. Specify this parameter to show only those reservations matching the specified DB instances class.
', 'DescribeReservedDBInstancesMessage$Duration' => 'The duration filter value, specified in years or seconds. Specify this parameter to show only reservations for this duration.
Valid Values: 1 | 3 | 31536000 | 94608000
The product description filter value. Specify this parameter to show only those reservations matching the specified product description.
', 'DescribeReservedDBInstancesMessage$OfferingType' => 'The offering type filter value. Specify this parameter to show only the available offerings matching the specified offering type.
Valid Values: "Partial Upfront" | "All Upfront" | "No Upfront"
The lease identifier filter value. Specify this parameter to show only the reservation that matches the specified lease ID.
Amazon Web Services Support might request the lease ID for an issue related to a reserved DB instance.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The offering identifier filter value. Specify this parameter to show only the available offering that matches the specified reservation identifier.
Example: 438012d3-4052-4cc7-b2e3-8d3372e0e706
The DB instance class filter value. Specify this parameter to show only the available offerings matching the specified DB instance class.
', 'DescribeReservedDBInstancesOfferingsMessage$Duration' => 'Duration filter value, specified in years or seconds. Specify this parameter to show only reservations for this duration.
Valid Values: 1 | 3 | 31536000 | 94608000
Product description filter value. Specify this parameter to show only the available offerings that contain the specified product description.
The results show offerings that partially match the filter value.
The offering type filter value. Specify this parameter to show only the available offerings matching the specified offering type.
Valid Values: "Partial Upfront" | "All Upfront" | "No Upfront"
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The source Amazon Web Services Region name. For example, us-east-1.
Constraints:
Must specify a valid Amazon Web Services Region name.
An optional pagination token provided by a previous DescribeSourceRegions request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The user-supplied DB instance identifier, which must match the identifier of an existing instance owned by the Amazon Web Services account. This parameter isn\'t case-sensitive.
', 'DescribeTenantDatabasesMessage$TenantDBName' => 'The user-supplied tenant database name, which must match the name of an existing tenant database on the specified DB instance owned by your Amazon Web Services account. This parameter isn’t case-sensitive.
', 'DescribeTenantDatabasesMessage$Marker' => 'An optional pagination token provided by a previous DescribeTenantDatabases request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The customer identifier or the ARN of your DB instance.
', 'DisableHttpEndpointRequest$ResourceArn' => 'The Amazon Resource Name (ARN) of the DB cluster.
', 'DisableHttpEndpointResponse$ResourceArn' => 'The ARN of the DB cluster.
', 'DocLink$Text' => 'The text with the link to documentation for the recommendation.
', 'DocLink$Url' => 'The URL for the documentation for the recommendation.
', 'DomainMembership$Domain' => 'The identifier of the Active Directory Domain.
', 'DomainMembership$Status' => 'The status of the Active Directory Domain membership for the DB instance or cluster. Values include joined, pending-join, failed, and so on.
The fully qualified domain name (FQDN) of the Active Directory Domain.
', 'DomainMembership$IAMRoleName' => 'The name of the IAM role used when making API calls to the Directory Service.
', 'DomainMembership$OU' => 'The Active Directory organizational unit for the DB instance or cluster.
', 'DomainMembership$AuthSecretArn' => 'The ARN for the Secrets Manager secret with the credentials for the user that\'s a member of the domain.
', 'DownloadDBLogFilePortionDetails$LogFileData' => 'Entries from the specified log file.
', 'DownloadDBLogFilePortionDetails$Marker' => 'A pagination token that can be used in a later DownloadDBLogFilePortion request.
The customer-assigned name of the DB instance that contains the log files you want to list.
Constraints:
Must match the identifier of an existing DBInstance.
The name of the log file to be downloaded.
', 'DownloadDBLogFilePortionMessage$Marker' => 'The pagination token provided in the previous request or "0". If the Marker parameter is specified the response includes only records beyond the marker until the end of the file or up to NumberOfLines.
', 'EC2SecurityGroup$Status' => 'Provides the status of the EC2 security group. Status can be "authorizing", "authorized", "revoking", and "revoked".
', 'EC2SecurityGroup$EC2SecurityGroupName' => 'Specifies the name of the EC2 security group.
', 'EC2SecurityGroup$EC2SecurityGroupId' => 'Specifies the id of the EC2 security group.
', 'EC2SecurityGroup$EC2SecurityGroupOwnerId' => 'Specifies the Amazon Web Services ID of the owner of the EC2 security group specified in the EC2SecurityGroupName field.
The Amazon Resource Name (ARN) of the DB cluster.
', 'EnableHttpEndpointResponse$ResourceArn' => 'The ARN of the DB cluster.
', 'EncryptionContextMap$key' => NULL, 'EncryptionContextMap$value' => NULL, 'Endpoint$Address' => 'Specifies the DNS address of the DB instance.
', 'Endpoint$HostedZoneId' => 'Specifies the ID that Amazon Route 53 assigns when you create a hosted zone.
', 'EngineDefaults$DBParameterGroupFamily' => 'Specifies the name of the DB parameter group family that the engine default parameters apply to.
', 'EngineDefaults$Marker' => 'An optional pagination token provided by a previous EngineDefaults request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords .
Provides the identifier for the source of the event.
', 'Event$Message' => 'Provides the text of this event.
', 'Event$SourceArn' => 'The Amazon Resource Name (ARN) for the event.
', 'EventCategoriesList$member' => NULL, 'EventCategoriesMap$SourceType' => 'The source type that the returned categories belong to
', 'EventSubscription$CustomerAwsId' => 'The Amazon Web Services customer account associated with the RDS event notification subscription.
', 'EventSubscription$CustSubscriptionId' => 'The RDS event notification subscription Id.
', 'EventSubscription$SnsTopicArn' => 'The topic ARN of the RDS event notification subscription.
', 'EventSubscription$Status' => 'The status of the RDS event notification subscription.
Constraints:
Can be one of the following: creating | modifying | deleting | active | no-permission | topic-not-exist
The status "no-permission" indicates that RDS no longer has permission to post to the SNS topic. The status "topic-not-exist" indicates that the topic was deleted after the subscription was created.
', 'EventSubscription$SubscriptionCreationTime' => 'The time the RDS event notification subscription was created.
', 'EventSubscription$SourceType' => 'The source type for the RDS event notification subscription.
', 'EventSubscription$EventSubscriptionArn' => 'The Amazon Resource Name (ARN) for the event subscription.
', 'EventSubscriptionsMessage$Marker' => 'An optional pagination token provided by a previous DescribeOrderableDBInstanceOptions request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
An optional pagination token provided by a previous Events request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
A unique identifier for the snapshot or cluster export task. This ID isn\'t an identifier for the Amazon S3 bucket where the data is exported.
', 'ExportTask$SourceArn' => 'The Amazon Resource Name (ARN) of the snapshot or cluster exported to Amazon S3.
', 'ExportTask$S3Bucket' => 'The Amazon S3 bucket where the snapshot or cluster is exported to.
', 'ExportTask$S3Prefix' => 'The Amazon S3 bucket prefix that is the file name and path of the exported data.
', 'ExportTask$IamRoleArn' => 'The name of the IAM role that is used to write to Amazon S3 when exporting a snapshot or cluster.
', 'ExportTask$KmsKeyId' => 'The key identifier of the Amazon Web Services KMS key that is used to encrypt the data when it\'s exported to Amazon S3. The KMS key identifier is its key ARN, key ID, alias ARN, or alias name. The IAM role used for the export must have encryption and decryption permissions to use this KMS key.
', 'ExportTask$Status' => 'The progress status of the export task. The status can be one of the following:
CANCELED
CANCELING
COMPLETE
FAILED
IN_PROGRESS
STARTING
The reason the export failed, if it failed.
', 'ExportTask$WarningMessage' => 'A warning about the snapshot or cluster export task.
', 'ExportTasksMessage$Marker' => 'A pagination token that can be used in a later DescribeExportTasks request. A marker is used for pagination to identify the location to begin output for the next response of DescribeExportTasks.
The identifier of the DB cluster to force a failover for. This parameter isn\'t case-sensitive.
Constraints:
Must match the identifier of an existing DB cluster.
The name of the DB instance to promote to the primary DB instance.
Specify the DB instance identifier for an Aurora Replica or a Multi-AZ readable standby in the DB cluster, for example mydbcluster-replica1.
This setting isn\'t supported for RDS for MySQL Multi-AZ DB clusters.
', 'FailoverState$FromDbClusterArn' => 'The Amazon Resource Name (ARN) of the Aurora DB cluster that is currently being demoted, and which is associated with this state.
', 'FailoverState$ToDbClusterArn' => 'The Amazon Resource Name (ARN) of the Aurora DB cluster that is currently being promoted, and which is associated with this state.
', 'FeatureNameList$member' => NULL, 'Filter$Name' => 'The name of the filter. Filter names are case-sensitive.
', 'FilterValueList$member' => NULL, 'GlobalCluster$GlobalClusterIdentifier' => 'Contains a user-supplied global database cluster identifier. This identifier is the unique key that identifies a global database cluster.
', 'GlobalCluster$GlobalClusterResourceId' => 'The Amazon Web Services Region-unique, immutable identifier for the global database cluster. This identifier is found in Amazon Web Services CloudTrail log entries whenever the Amazon Web Services KMS key for the DB cluster is accessed.
', 'GlobalCluster$GlobalClusterArn' => 'The Amazon Resource Name (ARN) for the global database cluster.
', 'GlobalCluster$Status' => 'Specifies the current state of this global database cluster.
', 'GlobalCluster$Engine' => 'The Aurora database engine used by the global database cluster.
', 'GlobalCluster$EngineVersion' => 'Indicates the database engine version.
', 'GlobalCluster$EngineLifecycleSupport' => 'The life cycle type for the global cluster.
For more information, see CreateGlobalCluster.
', 'GlobalCluster$DatabaseName' => 'The default database name within the new global database cluster.
', 'GlobalCluster$Endpoint' => 'The writer endpoint for the new global database cluster. This endpoint always points to the writer DB instance in the current primary cluster.
', 'GlobalClusterMember$DBClusterArn' => 'The Amazon Resource Name (ARN) for each Aurora DB cluster in the global cluster.
', 'GlobalClustersMessage$Marker' => 'An optional pagination token provided by a previous DescribeGlobalClusters request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The status of the IP range. Status can be "authorizing", "authorized", "revoking", and "revoked".
', 'IPRange$CIDRIP' => 'The IP range.
', 'Integration$KMSKeyId' => 'The Amazon Web Services Key Management System (Amazon Web Services KMS) key identifier for the key used to to encrypt the integration.
', 'IntegrationError$ErrorCode' => 'The error code associated with the integration.
', 'IntegrationError$ErrorMessage' => 'A message explaining the error.
', 'KeyList$member' => NULL, 'ListTagsForResourceMessage$ResourceName' => 'The Amazon RDS resource with tags to be listed. This value is an Amazon Resource Name (ARN). For information about creating an ARN, see Constructing an ARN for Amazon RDS in the Amazon RDS User Guide.
', 'LogTypeList$member' => NULL, 'MasterUserSecret$SecretArn' => 'The Amazon Resource Name (ARN) of the secret.
', 'MasterUserSecret$SecretStatus' => 'The status of the secret.
The possible status values include the following:
creating - The secret is being created.
active - The secret is available for normal use and rotation.
rotating - The secret is being rotated.
impaired - The secret can be used to access database credentials, but it can\'t be rotated. A secret might have this status if, for example, permissions are changed so that RDS can no longer access either the secret or the KMS key for the secret.
When a secret has this status, you can correct the condition that caused the status. Alternatively, modify the DB instance to turn off automatic management of database credentials, and then modify the DB instance again to turn on automatic management of database credentials.
The Amazon Web Services KMS key identifier that is used to encrypt the secret.
', 'Metric$Name' => 'The name of a metric.
', 'Metric$StatisticsDetails' => 'The details of different statistics for a metric. The description might contain markdown.
', 'MetricReference$Name' => 'The name of the metric reference.
', 'MinimumEngineVersionPerAllowedValue$AllowedValue' => 'The allowed value for an option setting.
', 'MinimumEngineVersionPerAllowedValue$MinimumEngineVersion' => 'The minimum DB engine version required for the allowed value.
', 'ModifyActivityStreamRequest$ResourceArn' => 'The Amazon Resource Name (ARN) of the RDS for Oracle or Microsoft SQL Server DB instance. For example, arn:aws:rds:us-east-1:12345667890:db:my-orcl-db.
The Amazon Web Services KMS key identifier for encryption of messages in the database activity stream.
', 'ModifyActivityStreamResponse$KinesisStreamName' => 'The name of the Amazon Kinesis data stream to be used for the database activity stream.
', 'ModifyCertificatesMessage$CertificateIdentifier' => 'The new default certificate identifier to override the current one with.
To determine the valid values, use the describe-certificates CLI command or the DescribeCertificates API operation.
The DB cluster identifier for the cluster being modified. This parameter isn\'t case-sensitive.
Constraints:
Must match the identifier of an existing DB cluster.
The action to take when the timeout is reached, either ForceApplyCapacityChange or RollbackCapacityChange.
ForceApplyCapacityChange, the default, sets the capacity to the specified value as soon as possible.
RollbackCapacityChange ignores the capacity change if a scaling point isn\'t found in the timeout period.
The identifier of the endpoint to modify. This parameter is stored as a lowercase string.
', 'ModifyDBClusterEndpointMessage$EndpointType' => 'The type of the endpoint. One of: READER, WRITER, ANY.
The DB cluster identifier for the cluster being modified. This parameter isn\'t case-sensitive.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Must match the identifier of an existing DB cluster.
The new DB cluster identifier for the DB cluster when renaming a DB cluster. This value is stored as a lowercase string.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
The first character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-cluster2
The name of the DB cluster parameter group to use for the DB cluster.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$MasterUserPassword' => 'The new password for the master database user.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Must contain from 8 to 41 characters.
Can contain any printable ASCII character except "/", """, or "@".
Can\'t be specified if ManageMasterUserPassword is turned on.
The option group to associate the DB cluster with.
DB clusters are associated with a default option group that can\'t be modified.
', 'ModifyDBClusterMessage$PreferredBackupWindow' => 'The daily time range during which automated backups are created if automated backups are enabled, using the BackupRetentionPeriod parameter.
The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region. To view the time blocks available, see Backup window in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Constraints:
Must be in the format hh24:mi-hh24:mi.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred maintenance window.
Must be at least 30 minutes.
The weekly time range during which system maintenance can occur, in Universal Coordinated Time (UTC).
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region, occurring on a random day of the week. To see the time blocks available, see Adjusting the Preferred DB Cluster Maintenance Window in the Amazon Aurora User Guide.
Constraints:
Must be in the format ddd:hh24:mi-ddd:hh24:mi.
Days must be one of Mon | Tue | Wed | Thu | Fri | Sat | Sun.
Must be in Universal Coordinated Time (UTC).
Must be at least 30 minutes.
The version number of the database engine to which you want to upgrade. Changing this parameter results in an outage. The change is applied during the next maintenance window unless ApplyImmediately is enabled.
If the cluster that you\'re modifying has one or more read replicas, all replicas must be running an engine version that\'s the same or later than the version you specify.
To list all of the available engine versions for Aurora MySQL, use the following command:
aws rds describe-db-engine-versions --engine aurora-mysql --query "DBEngineVersions[].EngineVersion"
To list all of the available engine versions for Aurora PostgreSQL, use the following command:
aws rds describe-db-engine-versions --engine aurora-postgresql --query "DBEngineVersions[].EngineVersion"
To list all of the available engine versions for RDS for MySQL, use the following command:
aws rds describe-db-engine-versions --engine mysql --query "DBEngineVersions[].EngineVersion"
To list all of the available engine versions for RDS for PostgreSQL, use the following command:
aws rds describe-db-engine-versions --engine postgres --query "DBEngineVersions[].EngineVersion"
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$DBInstanceParameterGroupName' => 'The name of the DB parameter group to apply to all instances of the DB cluster.
When you apply a parameter group using the DBInstanceParameterGroupName parameter, the DB cluster isn\'t rebooted automatically. Also, parameter changes are applied immediately rather than during the next maintenance window.
Valid for Cluster Type: Aurora DB clusters only
Default: The existing name setting
Constraints:
The DB parameter group must be in the same DB parameter group family as this DB cluster.
The DBInstanceParameterGroupName parameter is valid in combination with the AllowMajorVersionUpgrade parameter for a major version upgrade only.
The Active Directory directory ID to move the DB cluster to. Specify none to remove the cluster from its current domain. The domain must be created prior to this operation.
For more information, see Kerberos Authentication in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters only
', 'ModifyDBClusterMessage$DomainIAMRoleName' => 'The name of the IAM role to use when making API calls to the Directory Service.
Valid for Cluster Type: Aurora DB clusters only
', 'ModifyDBClusterMessage$DBClusterInstanceClass' => 'The compute and memory capacity of each DB instance in the Multi-AZ DB cluster, for example db.m6gd.xlarge. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines.
For the full list of DB instance classes and availability for your engine, see DB Instance Class in the Amazon RDS User Guide.
Valid for Cluster Type: Multi-AZ DB clusters only
', 'ModifyDBClusterMessage$StorageType' => 'The storage type to associate with the DB cluster.
For information on storage types for Aurora DB clusters, see Storage configurations for Amazon Aurora DB clusters. For information on storage types for Multi-AZ DB clusters, see Settings for creating Multi-AZ DB clusters.
When specified for a Multi-AZ DB cluster, a value for the Iops parameter is required.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values:
Aurora DB clusters - aurora | aurora-iopt1
Multi-AZ DB clusters - io1 | io2 | gp3
Default:
Aurora DB clusters - aurora
Multi-AZ DB clusters - io1
The Amazon Resource Name (ARN) for the IAM role that permits RDS to send Enhanced Monitoring metrics to Amazon CloudWatch Logs. An example is arn:aws:iam:123456789012:role/emaccess. For information on creating a monitoring role, see To create an IAM role for Amazon RDS Enhanced Monitoring in the Amazon RDS User Guide.
If MonitoringInterval is set to a value other than 0, supply a MonitoringRoleArn value.
Valid for Cluster Type: Multi-AZ DB clusters only
', 'ModifyDBClusterMessage$PerformanceInsightsKMSKeyId' => 'The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you don\'t specify a value for PerformanceInsightsKMSKeyId, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$NetworkType' => 'The network type of the DB cluster.
The network type is determined by the DBSubnetGroup specified for the DB cluster. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon Aurora User Guide.
Valid for Cluster Type: Aurora DB clusters only
Valid Values: IPV4 | DUAL
The Amazon Web Services KMS key identifier to encrypt a secret that is automatically generated and managed in Amazon Web Services Secrets Manager.
This setting is valid only if both of the following conditions are met:
The DB cluster doesn\'t manage the master user password in Amazon Web Services Secrets Manager.
If the DB cluster already manages the master user password in Amazon Web Services Secrets Manager, you can\'t change the KMS key that is used to encrypt the secret.
You are turning on ManageMasterUserPassword to manage the master user password in Amazon Web Services Secrets Manager.
If you are turning on ManageMasterUserPassword and don\'t specify MasterUserSecretKmsKeyId, then the aws/secretsmanager KMS key is used to encrypt the secret. If the secret is in a different Amazon Web Services account, then you can\'t use the aws/secretsmanager KMS key to encrypt the secret, and you must use a customer managed KMS key.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBClusterMessage$EngineMode' => 'The DB engine mode of the DB cluster, either provisioned or serverless.
The DB engine mode can be modified only from serverless to provisioned.
For more information, see CreateDBCluster.
Valid for Cluster Type: Aurora DB clusters only
', 'ModifyDBClusterMessage$CACertificateIdentifier' => 'The CA certificate identifier to use for the DB cluster\'s server certificate.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide.
Valid for Cluster Type: Multi-AZ DB clusters
', 'ModifyDBClusterParameterGroupMessage$DBClusterParameterGroupName' => 'The name of the DB cluster parameter group to modify.
', 'ModifyDBClusterSnapshotAttributeMessage$DBClusterSnapshotIdentifier' => 'The identifier for the DB cluster snapshot to modify the attributes for.
', 'ModifyDBClusterSnapshotAttributeMessage$AttributeName' => 'The name of the DB cluster snapshot attribute to modify.
To manage authorization for other Amazon Web Services accounts to copy or restore a manual DB cluster snapshot, set this value to restore.
To view the list of attributes available to modify, use the DescribeDBClusterSnapshotAttributes API operation.
The identifier of DB instance to modify. This value is stored as a lowercase string.
Constraints:
Must match the identifier of an existing DB instance.
The new compute and memory capacity of the DB instance, for example db.m4.large. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines. For the full list of DB instance classes, and availability for your engine, see DB Instance Class in the Amazon RDS User Guide or Aurora DB instance classes in the Amazon Aurora User Guide. For RDS Custom, see DB instance class support for RDS Custom for Oracle and DB instance class support for RDS Custom for SQL Server.
If you modify the DB instance class, an outage occurs during the change. The change is applied during the next maintenance window, unless you specify ApplyImmediately in your request.
Default: Uses existing setting
Constraints:
If you are modifying the DB instance class and upgrading the engine version at the same time, the currently running engine version must be supported on the specified DB instance class. Otherwise, the operation returns an error. In this case, first run the operation to upgrade the engine version, and then run it again to modify the DB instance class.
The new DB subnet group for the DB instance. You can use this parameter to move your DB instance to a different VPC. If your DB instance isn\'t in a VPC, you can also use this parameter to move your DB instance into a VPC. For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
Changing the subnet group causes an outage during the change. The change is applied during the next maintenance window, unless you enable ApplyImmediately.
This setting doesn\'t apply to RDS Custom DB instances.
Constraints:
If supplied, must match existing DB subnet group.
Example: mydbsubnetgroup
The new password for the master user.
Changing this parameter doesn\'t result in an outage and the change is asynchronously applied as soon as possible. Between the time of the request and the completion of the request, the MasterUserPassword element exists in the PendingModifiedValues element of the operation response.
Amazon RDS API operations never return the password, so this operation provides a way to regain access to a primary instance user if the password is lost. This includes restoring privileges that might have been accidentally revoked.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora (The password for the master user is managed by the DB cluster. For more information, see ModifyDBCluster.)
RDS Custom
Default: Uses existing setting
Constraints:
Can\'t be specified if ManageMasterUserPassword is turned on.
Can include any printable ASCII character except "/", """, or "@". For RDS for Oracle, can\'t include the "&" (ampersand) or the "\'" (single quotes) character.
Length Constraints:
RDS for Db2 - Must contain from 8 to 255 characters.
RDS for MariaDB - Must contain from 8 to 41 characters.
RDS for Microsoft SQL Server - Must contain from 8 to 128 characters.
RDS for MySQL - Must contain from 8 to 41 characters.
RDS for Oracle - Must contain from 8 to 30 characters.
RDS for PostgreSQL - Must contain from 8 to 128 characters.
The name of the DB parameter group to apply to the DB instance.
Changing this setting doesn\'t result in an outage. The parameter group name itself is changed immediately, but the actual parameter changes are not applied until you reboot the instance without failover. In this case, the DB instance isn\'t rebooted automatically, and the parameter changes aren\'t applied during the next maintenance window. However, if you modify dynamic parameters in the newly associated DB parameter group, these changes are applied immediately without a reboot.
This setting doesn\'t apply to RDS Custom DB instances.
Default: Uses existing setting
Constraints:
Must be in the same DB parameter group family as the DB instance.
The daily time range during which automated backups are created if automated backups are enabled, as determined by the BackupRetentionPeriod parameter. Changing this parameter doesn\'t result in an outage and the change is asynchronously applied as soon as possible. The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region. For more information, see Backup window in the Amazon RDS User Guide.
This setting doesn\'t apply to Amazon Aurora DB instances. The daily time range for creating automated backups is managed by the DB cluster. For more information, see ModifyDBCluster.
Constraints:
Must be in the format hh24:mi-hh24:mi.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred maintenance window.
Must be at least 30 minutes.
The weekly time range during which system maintenance can occur, which might result in an outage. Changing this parameter doesn\'t result in an outage, except in the following situation, and the change is asynchronously applied as soon as possible. If there are pending actions that cause a reboot, and the maintenance window is changed to include the current time, then changing this parameter causes a reboot of the DB instance. If you change this window to the current time, there must be at least 30 minutes between the current time and end of the window to ensure pending changes are applied.
For more information, see Amazon RDS Maintenance Window in the Amazon RDS User Guide.
Default: Uses existing setting
Constraints:
Must be in the format ddd:hh24:mi-ddd:hh24:mi.
The day values must be mon | tue | wed | thu | fri | sat | sun.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred backup window.
Must be at least 30 minutes.
The version number of the database engine to upgrade to. Changing this parameter results in an outage and the change is applied during the next maintenance window unless the ApplyImmediately parameter is enabled for this request.
For major version upgrades, if a nondefault DB parameter group is currently in use, a new DB parameter group in the DB parameter group family for the new engine version must be specified. The new DB parameter group can be the default for that DB parameter group family.
If you specify only a major version, Amazon RDS updates the DB instance to the default minor version if the current minor version is lower. For information about valid engine versions, see CreateDBInstance, or call DescribeDBEngineVersions.
If the instance that you\'re modifying is acting as a read replica, the engine version that you specify must be the same or higher than the version that the source DB instance or cluster is running.
In RDS Custom for Oracle, this parameter is supported for read replicas only if they are in the PATCH_DB_FAILURE lifecycle.
Constraints:
If you are upgrading the engine version and modifying the DB instance class at the same time, the currently running engine version must be supported on the specified DB instance class. Otherwise, the operation returns an error. In this case, first run the operation to upgrade the engine version, and then run it again to modify the DB instance class.
The license model for the DB instance.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
Valid Values:
RDS for Db2 - bring-your-own-license
RDS for MariaDB - general-public-license
RDS for Microsoft SQL Server - license-included
RDS for MySQL - general-public-license
RDS for Oracle - bring-your-own-license | license-included
RDS for PostgreSQL - postgresql-license
The option group to associate the DB instance with.
Changing this parameter doesn\'t result in an outage, with one exception. If the parameter change results in an option group that enables OEM, it can cause a brief period, lasting less than a second, during which new connections are rejected but existing connections aren\'t interrupted.
The change is applied during the next maintenance window unless the ApplyImmediately parameter is enabled for this request.
Permanent options, such as the TDE option for Oracle Advanced Security TDE, can\'t be removed from an option group, and that option group can\'t be removed from a DB instance after it is associated with a DB instance.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$NewDBInstanceIdentifier' => 'The new identifier for the DB instance when renaming a DB instance. When you change the DB instance identifier, an instance reboot occurs immediately if you enable ApplyImmediately, or will occur during the next maintenance window if you disable ApplyImmediately. This value is stored as a lowercase string.
This setting doesn\'t apply to RDS Custom DB instances.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
The first character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: mydbinstance
The storage type to associate with the DB instance.
If you specify io1, io2, or gp3 you must also include a value for the Iops parameter.
If you choose to migrate your DB instance from using standard storage to gp2 (General Purpose SSD), gp3, or Provisioned IOPS (io1), or from these storage types to standard storage, the process can take time. The duration of the migration depends on several factors such as database load, storage size, storage type (standard or Provisioned IOPS), amount of IOPS provisioned (if any), and the number of prior scale storage operations. Typical migration times are under 24 hours, but the process can take up to several days in some cases. During the migration, the DB instance is available for use, but might experience performance degradation. While the migration takes place, nightly backups for the instance are suspended. No other Amazon RDS operations can take place for the instance, including modifying the instance, rebooting the instance, deleting the instance, creating a read replica for the instance, and creating a DB snapshot of the instance.
Valid Values: gp2 | gp3 | io1 | io2 | standard
Default: io1, if the Iops parameter is specified. Otherwise, gp2.
The ARN from the key store with which to associate the instance for TDE encryption.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$TdeCredentialPassword' => 'The password for the given ARN from the key store in order to access the device.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$CACertificateIdentifier' => 'The CA certificate identifier to use for the DB instance\'s server certificate.
This setting doesn\'t apply to RDS Custom DB instances.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'ModifyDBInstanceMessage$Domain' => 'The Active Directory directory ID to move the DB instance to. Specify none to remove the instance from its current domain. You must create the domain before this operation. Currently, you can create only Db2, MySQL, Microsoft SQL Server, Oracle, and PostgreSQL DB instances in an Active Directory Domain.
For more information, see Kerberos Authentication in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$DomainFqdn' => 'The fully qualified domain name (FQDN) of an Active Directory domain.
Constraints:
Can\'t be longer than 64 characters.
Example: mymanagedADtest.mymanagedAD.mydomain
The Active Directory organizational unit for your DB instance to join.
Constraints:
Must be in the distinguished name format.
Can\'t be longer than 64 characters.
Example: OU=mymanagedADtestOU,DC=mymanagedADtest,DC=mymanagedAD,DC=mydomain
The ARN for the Secrets Manager secret with the credentials for the user joining the domain.
Example: arn:aws:secretsmanager:region:account-number:secret:myselfmanagedADtestsecret-123456
The ARN for the IAM role that permits RDS to send enhanced monitoring metrics to Amazon CloudWatch Logs. For example, arn:aws:iam:123456789012:role/emaccess. For information on creating a monitoring role, see To create an IAM role for Amazon RDS Enhanced Monitoring in the Amazon RDS User Guide.
If MonitoringInterval is set to a value other than 0, supply a MonitoringRoleArn value.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$DomainIAMRoleName' => 'The name of the IAM role to use when making API calls to the Directory Service.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$PerformanceInsightsKMSKeyId' => 'The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you don\'t specify a value for PerformanceInsightsKMSKeyId, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
This setting doesn\'t apply to RDS Custom DB instances.
', 'ModifyDBInstanceMessage$NetworkType' => 'The network type of the DB instance.
The network type is determined by the DBSubnetGroup specified for the DB instance. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
Valid Values: IPV4 | DUAL
The Amazon Web Services KMS key identifier to encrypt a secret that is automatically generated and managed in Amazon Web Services Secrets Manager.
This setting is valid only if both of the following conditions are met:
The DB instance doesn\'t manage the master user password in Amazon Web Services Secrets Manager.
If the DB instance already manages the master user password in Amazon Web Services Secrets Manager, you can\'t change the KMS key used to encrypt the secret.
You are turning on ManageMasterUserPassword to manage the master user password in Amazon Web Services Secrets Manager.
If you are turning on ManageMasterUserPassword and don\'t specify MasterUserSecretKmsKeyId, then the aws/secretsmanager KMS key is used to encrypt the secret. If the secret is in a different Amazon Web Services account, then you can\'t use the aws/secretsmanager KMS key to encrypt the secret, and you must use a customer managed KMS key.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
', 'ModifyDBInstanceMessage$Engine' => 'The target Oracle DB engine when you convert a non-CDB to a CDB. This intermediate step is necessary to upgrade an Oracle Database 19c non-CDB to an Oracle Database 21c CDB.
Note the following requirements:
Make sure that you specify oracle-ee-cdb or oracle-se2-cdb.
Make sure that your DB engine runs Oracle Database 19c with an April 2021 or later RU.
Note the following limitations:
You can\'t convert a CDB to a non-CDB.
You can\'t convert a replica database.
You can\'t convert a non-CDB to a CDB and upgrade the engine version in the same command.
You can\'t convert the existing custom parameter or option group when it has options or parameters that are permanent or persistent. In this situation, the DB instance reverts to the default option and parameter group. To avoid reverting to the default, specify a new parameter group with --db-parameter-group-name and a new option group with --option-group-name.
The name of the DB parameter group.
Constraints:
If supplied, must match the name of an existing DBParameterGroup.
The identifier for the DBProxy to modify.
The new identifier for the DBProxy. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens; it can\'t end with a hyphen or contain two consecutive hyphens.
The Amazon Resource Name (ARN) of the IAM role that the proxy uses to access secrets in Amazon Web Services Secrets Manager.
', 'ModifyDBProxyTargetGroupRequest$TargetGroupName' => 'The name of the target group to modify.
', 'ModifyDBProxyTargetGroupRequest$DBProxyName' => 'The name of the proxy.
', 'ModifyDBProxyTargetGroupRequest$NewName' => 'The new name for the modified DBProxyTarget. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens; it can\'t end with a hyphen or contain two consecutive hyphens.
The identifier of the recommendation to update.
', 'ModifyDBRecommendationMessage$Locale' => 'The language of the modified recommendation.
', 'ModifyDBRecommendationMessage$Status' => 'The recommendation status to update.
Valid values:
active
dismissed
The identifier for the DB snapshot to modify the attributes for.
', 'ModifyDBSnapshotAttributeMessage$AttributeName' => 'The name of the DB snapshot attribute to modify.
To manage authorization for other Amazon Web Services accounts to copy or restore a manual DB snapshot, set this value to restore.
To view the list of attributes available to modify, use the DescribeDBSnapshotAttributes API operation.
The identifier of the DB snapshot to modify.
', 'ModifyDBSnapshotMessage$EngineVersion' => 'The engine version to upgrade the DB snapshot to.
The following are the database engines and engine versions that are available when you upgrade a DB snapshot.
MySQL
For the list of engine versions that are available for upgrading a DB snapshot, see Upgrading a MySQL DB snapshot engine version in the Amazon RDS User Guide.
Oracle
19.0.0.0.ru-2022-01.rur-2022-01.r1 (supported for 12.2.0.1 DB snapshots)
19.0.0.0.ru-2022-07.rur-2022-07.r1 (supported for 12.1.0.2 DB snapshots)
12.1.0.2.v8 (supported for 12.1.0.1 DB snapshots)
11.2.0.4.v12 (supported for 11.2.0.2 DB snapshots)
11.2.0.4.v11 (supported for 11.2.0.3 DB snapshots)
PostgreSQL
For the list of engine versions that are available for upgrading a DB snapshot, see Upgrading a PostgreSQL DB snapshot engine version in the Amazon RDS User Guide.
', 'ModifyDBSnapshotMessage$OptionGroupName' => 'The option group to identify with the upgraded DB snapshot.
You can specify this parameter when you upgrade an Oracle DB snapshot. The same option group considerations apply when upgrading a DB snapshot as when upgrading a DB instance. For more information, see Option group considerations in the Amazon RDS User Guide.
', 'ModifyDBSubnetGroupMessage$DBSubnetGroupName' => 'The name for the DB subnet group. This value is stored as a lowercase string. You can\'t modify the default subnet group.
Constraints: Must match the name of an existing DBSubnetGroup. Must not be default.
Example: mydbsubnetgroup
The description for the DB subnet group.
', 'ModifyEventSubscriptionMessage$SubscriptionName' => 'The name of the RDS event notification subscription.
', 'ModifyEventSubscriptionMessage$SnsTopicArn' => 'The Amazon Resource Name (ARN) of the SNS topic created for event notification. The ARN is created by Amazon SNS when you create a topic and subscribe to it.
', 'ModifyEventSubscriptionMessage$SourceType' => 'The type of source that is generating the events. For example, if you want to be notified of events generated by a DB instance, you would set this parameter to db-instance. For RDS Proxy events, specify db-proxy. If this value isn\'t specified, all events are returned.
Valid Values: db-instance | db-cluster | db-parameter-group | db-security-group | db-snapshot | db-cluster-snapshot | db-proxy | zero-etl | custom-engine-version | blue-green-deployment
The cluster identifier for the global cluster to modify. This parameter isn\'t case-sensitive.
Constraints:
Must match the identifier of an existing global database cluster.
The new cluster identifier for the global database cluster. This value is stored as a lowercase string.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
The first character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-cluster2
The version number of the database engine to which you want to upgrade.
To list all of the available engine versions for aurora-mysql (for MySQL-based Aurora global databases), use the following command:
aws rds describe-db-engine-versions --engine aurora-mysql --query \'*[]|[?SupportsGlobalDatabases == `true`].[EngineVersion]\'
To list all of the available engine versions for aurora-postgresql (for PostgreSQL-based Aurora global databases), use the following command:
aws rds describe-db-engine-versions --engine aurora-postgresql --query \'*[]|[?SupportsGlobalDatabases == `true`].[EngineVersion]\'
The name of the option group to be modified.
Permanent options, such as the TDE option for Oracle Advanced Security TDE, can\'t be removed from an option group, and that option group can\'t be removed from a DB instance once it is associated with a DB instance
', 'ModifyTenantDatabaseMessage$DBInstanceIdentifier' => 'The identifier of the DB instance that contains the tenant database that you are modifying. This parameter isn\'t case-sensitive.
Constraints:
Must match the identifier of an existing DB instance.
The user-supplied name of the tenant database that you want to modify. This parameter isn’t case-sensitive.
Constraints:
Must match the identifier of an existing tenant database.
The new name of the tenant database when renaming a tenant database. This parameter isn’t case-sensitive.
Constraints:
Can\'t be the string null or any other reserved word.
Can\'t be longer than 8 characters.
The name of the option.
', 'Option$OptionDescription' => 'The description of the option.
', 'Option$OptionVersion' => 'The version of the option.
', 'OptionConfiguration$OptionName' => 'The configuration of options to include in a group.
', 'OptionConfiguration$OptionVersion' => 'The version for the option.
', 'OptionGroup$OptionGroupName' => 'Specifies the name of the option group.
', 'OptionGroup$OptionGroupDescription' => 'Provides a description of the option group.
', 'OptionGroup$EngineName' => 'Indicates the name of the engine that this option group can be applied to.
', 'OptionGroup$MajorEngineVersion' => 'Indicates the major engine version associated with this option group.
', 'OptionGroup$VpcId' => 'If AllowsVpcAndNonVpcInstanceMemberships is false, this field is blank. If AllowsVpcAndNonVpcInstanceMemberships is true and this field is blank, then this option group can be applied to both VPC and non-VPC instances. If this field contains a value, then this option group can only be applied to instances that are in the VPC indicated by this field.
Specifies the Amazon Resource Name (ARN) for the option group.
', 'OptionGroup$SourceOptionGroup' => 'Specifies the name of the option group from which this option group is copied.
', 'OptionGroup$SourceAccountId' => 'Specifies the Amazon Web Services account ID for the option group from which this option group is copied.
', 'OptionGroupMembership$OptionGroupName' => 'The name of the option group that the instance belongs to.
', 'OptionGroupMembership$Status' => 'The status of the DB instance\'s option group membership. Valid values are: in-sync, pending-apply, pending-removal, pending-maintenance-apply, pending-maintenance-removal, applying, removing, and failed.
The name of the option.
', 'OptionGroupOption$Description' => 'The description of the option.
', 'OptionGroupOption$EngineName' => 'The name of the engine that this option can be applied to.
', 'OptionGroupOption$MajorEngineVersion' => 'Indicates the major engine version that the option is available for.
', 'OptionGroupOption$MinimumRequiredMinorEngineVersion' => 'The minimum required engine version for the option to be applied.
', 'OptionGroupOptionSetting$SettingName' => 'The name of the option group option.
', 'OptionGroupOptionSetting$SettingDescription' => 'The description of the option group option.
', 'OptionGroupOptionSetting$DefaultValue' => 'The default value for the option group option.
', 'OptionGroupOptionSetting$ApplyType' => 'The DB engine specific parameter type for the option group option.
', 'OptionGroupOptionSetting$AllowedValues' => 'Indicates the acceptable values for the option group option.
', 'OptionGroupOptionsMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the option that has settings that you can set.
', 'OptionSetting$Value' => 'The current value of the option setting.
', 'OptionSetting$DefaultValue' => 'The default value of the option setting.
', 'OptionSetting$Description' => 'The description of the option setting.
', 'OptionSetting$ApplyType' => 'The DB engine specific parameter type.
', 'OptionSetting$DataType' => 'The data type of the option setting.
', 'OptionSetting$AllowedValues' => 'The allowed values of the option setting.
', 'OptionVersion$Version' => 'The version of the option.
', 'OptionsConflictsWith$member' => NULL, 'OptionsDependedOn$member' => NULL, 'OrderableDBInstanceOption$Engine' => 'The engine type of a DB instance.
', 'OrderableDBInstanceOption$EngineVersion' => 'The engine version of a DB instance.
', 'OrderableDBInstanceOption$DBInstanceClass' => 'The DB instance class for a DB instance.
', 'OrderableDBInstanceOption$LicenseModel' => 'The license model for a DB instance.
', 'OrderableDBInstanceOption$AvailabilityZoneGroup' => 'The Availability Zone group for a DB instance.
', 'OrderableDBInstanceOption$StorageType' => 'The storage type for a DB instance.
', 'OrderableDBInstanceOptionsMessage$Marker' => 'An optional pagination token provided by a previous OrderableDBInstanceOptions request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The Amazon Resource Name (ARN) of the Outpost.
', 'Parameter$ParameterName' => 'The name of the parameter.
', 'Parameter$ParameterValue' => 'The value of the parameter.
', 'Parameter$Description' => 'Provides a description of the parameter.
', 'Parameter$Source' => 'The source of the parameter value.
', 'Parameter$ApplyType' => 'Specifies the engine specific parameters type.
', 'Parameter$DataType' => 'Specifies the valid data type for the parameter.
', 'Parameter$AllowedValues' => 'Specifies the valid range of values for the parameter.
', 'Parameter$MinimumEngineVersion' => 'The earliest engine version to which the parameter can apply.
', 'PendingMaintenanceAction$Action' => 'The type of pending maintenance action that is available for the resource.
For more information about maintenance actions, see Maintaining a DB instance.
Valid Values:
ca-certificate-rotation
db-upgrade
hardware-maintenance
os-upgrade
system-update
For more information about these actions, see Maintenance actions for Amazon Aurora or Maintenance actions for Amazon RDS.
', 'PendingMaintenanceAction$OptInStatus' => 'Indicates the type of opt-in request that has been received for the resource.
', 'PendingMaintenanceAction$Description' => 'A description providing more detail about the maintenance action.
', 'PendingMaintenanceActionsMessage$Marker' => 'An optional pagination token provided by a previous DescribePendingMaintenanceActions request. If this parameter is specified, the response includes only records beyond the marker, up to a number of records specified by MaxRecords.
The name of the compute and memory capacity class for the DB instance.
', 'PendingModifiedValues$MasterUserPassword' => 'The master credentials for the DB instance.
', 'PendingModifiedValues$EngineVersion' => 'The database engine version.
', 'PendingModifiedValues$LicenseModel' => 'The license model for the DB instance.
Valid values: license-included | bring-your-own-license | general-public-license
The database identifier for the DB instance.
', 'PendingModifiedValues$StorageType' => 'The storage type of the DB instance.
', 'PendingModifiedValues$CACertificateIdentifier' => 'The identifier of the CA certificate for the DB instance.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'PendingModifiedValues$DBSubnetGroupName' => 'The DB subnet group for the DB instance.
', 'PendingModifiedValues$Engine' => 'The database engine of the DB instance.
', 'PerformanceInsightsMetricDimensionGroup$Group' => 'The available dimension groups for Performance Insights metric type.
', 'PerformanceInsightsMetricQuery$Metric' => 'The name of a Performance Insights metric to be measured.
Valid Values:
db.load.avg - A scaled representation of the number of active sessions for the database engine.
db.sampledload.avg - The raw number of active sessions for the database engine.
The counter metrics listed in Performance Insights operating system counters in the Amazon Aurora User Guide.
If the number of active sessions is less than an internal Performance Insights threshold, db.load.avg and db.sampledload.avg are the same value. If the number of active sessions is greater than the internal threshold, Performance Insights samples the active sessions, with db.load.avg showing the scaled values, db.sampledload.avg showing the raw values, and db.sampledload.avg less than db.load.avg. For most use cases, you can query db.load.avg only.
The analysis of the performance issue. The information might contain markdown.
', 'ProcessorFeature$Name' => 'The name of the processor feature. Valid names are coreCount and threadsPerCore.
The value of a processor feature.
', 'PromoteReadReplicaDBClusterMessage$DBClusterIdentifier' => 'The identifier of the DB cluster read replica to promote. This parameter isn\'t case-sensitive.
Constraints:
Must match the identifier of an existing DB cluster read replica.
Example: my-cluster-replica1
The DB instance identifier. This value is stored as a lowercase string.
Constraints:
Must match the identifier of an existing read replica DB instance.
Example: mydbinstance
The daily time range during which automated backups are created if automated backups are enabled, using the BackupRetentionPeriod parameter.
The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region. To see the time blocks available, see Adjusting the Preferred Maintenance Window in the Amazon RDS User Guide.
Constraints:
Must be in the format hh24:mi-hh24:mi.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred maintenance window.
Must be at least 30 minutes.
The ID of the Reserved DB instance offering to purchase.
Example: 438012d3-4052-4cc7-b2e3-8d3372e0e706
', 'PurchaseReservedDBInstancesOfferingMessage$ReservedDBInstanceId' => 'Customer-specified identifier to track this reservation.
Example: myreservationID
', 'RdsCustomClusterConfiguration$InterconnectSubnetId' => 'Reserved for future use.
', 'RdsCustomClusterConfiguration$TransitGatewayMulticastDomainId' => 'Reserved for future use.
', 'ReadReplicaDBClusterIdentifierList$member' => NULL, 'ReadReplicaDBInstanceIdentifierList$member' => NULL, 'ReadReplicaIdentifierList$member' => NULL, 'ReadersArnList$member' => NULL, 'RebootDBClusterMessage$DBClusterIdentifier' => 'The DB cluster identifier. This parameter is stored as a lowercase string.
Constraints:
Must match the identifier of an existing DBCluster.
The DB instance identifier. This parameter is stored as a lowercase string.
Constraints:
Must match the identifier of an existing DBInstance.
The unique identifier of the recommended action.
', 'RecommendedAction$Title' => 'A short description to summarize the action. The description might contain markdown.
', 'RecommendedAction$Description' => 'A detailed description of the action. The description might contain markdown.
', 'RecommendedAction$Operation' => 'An API operation for the action.
', 'RecommendedAction$Status' => 'The status of the action.
ready
applied
scheduled
resolved
The key of the parameter to use with the RecommendedAction API operation.
The value of the parameter to use with the RecommendedAction API operation.
A unique identifier of the updated recommendation action.
', 'RecommendedActionUpdate$Status' => 'The status of the updated recommendation action.
applied
scheduled
The frequency of the recurring charge.
', 'RegisterDBProxyTargetsRequest$DBProxyName' => 'The identifier of the DBProxy that is associated with the DBProxyTargetGroup.
The identifier of the DBProxyTargetGroup.
The cluster identifier to detach from the Aurora global database cluster.
', 'RemoveFromGlobalClusterMessage$DbClusterIdentifier' => 'The Amazon Resource Name (ARN) identifying the cluster that was detached from the Aurora global database cluster.
', 'RemoveRoleFromDBClusterMessage$DBClusterIdentifier' => 'The name of the DB cluster to disassociate the IAM role from.
', 'RemoveRoleFromDBClusterMessage$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role to disassociate from the Aurora DB cluster, for example arn:aws:iam::123456789012:role/AuroraAccessRole.
The name of the feature for the DB cluster that the IAM role is to be disassociated from. For information about supported feature names, see DBEngineVersion.
', 'RemoveRoleFromDBInstanceMessage$DBInstanceIdentifier' => 'The name of the DB instance to disassociate the IAM role from.
', 'RemoveRoleFromDBInstanceMessage$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role to disassociate from the DB instance, for example, arn:aws:iam::123456789012:role/AccessRole.
The name of the feature for the DB instance that the IAM role is to be disassociated from. For information about supported feature names, see DBEngineVersion.
The name of the RDS event notification subscription you want to remove a source identifier from.
', 'RemoveSourceIdentifierFromSubscriptionMessage$SourceIdentifier' => 'The source identifier to be removed from the subscription, such as the DB instance identifier for a DB instance or the name of a security group.
', 'RemoveTagsFromResourceMessage$ResourceName' => 'The Amazon RDS resource that the tags are removed from. This value is an Amazon Resource Name (ARN). For information about creating an ARN, see Constructing an ARN for Amazon RDS in the Amazon RDS User Guide.
', 'ReservedDBInstance$ReservedDBInstanceId' => 'The unique identifier for the reservation.
', 'ReservedDBInstance$ReservedDBInstancesOfferingId' => 'The offering identifier.
', 'ReservedDBInstance$DBInstanceClass' => 'The DB instance class for the reserved DB instance.
', 'ReservedDBInstance$CurrencyCode' => 'The currency code for the reserved DB instance.
', 'ReservedDBInstance$ProductDescription' => 'The description of the reserved DB instance.
', 'ReservedDBInstance$OfferingType' => 'The offering type of this reserved DB instance.
', 'ReservedDBInstance$State' => 'The state of the reserved DB instance.
', 'ReservedDBInstance$ReservedDBInstanceArn' => 'The Amazon Resource Name (ARN) for the reserved DB instance.
', 'ReservedDBInstance$LeaseId' => 'The unique identifier for the lease associated with the reserved DB instance.
Amazon Web Services Support might request the lease ID for an issue related to a reserved DB instance.
An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The offering identifier.
', 'ReservedDBInstancesOffering$DBInstanceClass' => 'The DB instance class for the reserved DB instance.
', 'ReservedDBInstancesOffering$CurrencyCode' => 'The currency code for the reserved DB instance offering.
', 'ReservedDBInstancesOffering$ProductDescription' => 'The database engine used by the offering.
', 'ReservedDBInstancesOffering$OfferingType' => 'The offering type.
', 'ReservedDBInstancesOfferingMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the DB cluster parameter group to reset.
', 'ResetDBParameterGroupMessage$DBParameterGroupName' => 'The name of the DB parameter group.
Constraints:
Must match the name of an existing DBParameterGroup.
The ARN of the resource that has pending maintenance actions.
', 'RestoreDBClusterFromS3Message$CharacterSetName' => 'A value that indicates that the restored DB cluster should be associated with the specified CharacterSet.
', 'RestoreDBClusterFromS3Message$DatabaseName' => 'The database name for the restored DB cluster.
', 'RestoreDBClusterFromS3Message$DBClusterIdentifier' => 'The name of the DB cluster to create from the source data in the Amazon S3 bucket. This parameter isn\'t case-sensitive.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-cluster1
The name of the DB cluster parameter group to associate with the restored DB cluster. If this argument is omitted, the default parameter group for the engine version is used.
Constraints:
If supplied, must match the name of an existing DBClusterParameterGroup.
A DB subnet group to associate with the restored DB cluster.
Constraints: If supplied, must match the name of an existing DBSubnetGroup.
Example: mydbsubnetgroup
The name of the database engine to be used for this DB cluster.
Valid Values: aurora-mysql (for Aurora MySQL)
The version number of the database engine to use.
To list all of the available engine versions for aurora-mysql (Aurora MySQL), use the following command:
aws rds describe-db-engine-versions --engine aurora-mysql --query "DBEngineVersions[].EngineVersion"
Aurora MySQL
Examples: 5.7.mysql_aurora.2.12.0, 8.0.mysql_aurora.3.04.0
The name of the master user for the restored DB cluster.
Constraints:
Must be 1 to 16 letters or numbers.
First character must be a letter.
Can\'t be a reserved word for the chosen database engine.
The password for the master database user. This password can contain any printable ASCII character except "/", """, or "@".
Constraints:
Must contain from 8 to 41 characters.
Can\'t be specified if ManageMasterUserPassword is turned on.
A value that indicates that the restored DB cluster should be associated with the specified option group.
Permanent options can\'t be removed from an option group. An option group can\'t be removed from a DB cluster once it is associated with a DB cluster.
', 'RestoreDBClusterFromS3Message$PreferredBackupWindow' => 'The daily time range during which automated backups are created if automated backups are enabled using the BackupRetentionPeriod parameter.
The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region. To view the time blocks available, see Backup window in the Amazon Aurora User Guide.
Constraints:
Must be in the format hh24:mi-hh24:mi.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred maintenance window.
Must be at least 30 minutes.
The weekly time range during which system maintenance can occur, in Universal Coordinated Time (UTC).
Format: ddd:hh24:mi-ddd:hh24:mi
The default is a 30-minute window selected at random from an 8-hour block of time for each Amazon Web Services Region, occurring on a random day of the week. To see the time blocks available, see Adjusting the Preferred Maintenance Window in the Amazon Aurora User Guide.
Valid Days: Mon, Tue, Wed, Thu, Fri, Sat, Sun.
Constraints: Minimum 30-minute window.
', 'RestoreDBClusterFromS3Message$KmsKeyId' => 'The Amazon Web Services KMS key identifier for an encrypted DB cluster.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
If the StorageEncrypted parameter is enabled, and you do not specify a value for the KmsKeyId parameter, then Amazon RDS will use your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
The identifier for the database engine that was backed up to create the files stored in the Amazon S3 bucket.
Valid Values: mysql
The version of the database that the backup files were created from.
MySQL versions 5.7 and 8.0 are supported.
Example: 5.7.40, 8.0.28
The name of the Amazon S3 bucket that contains the data used to create the Amazon Aurora DB cluster.
', 'RestoreDBClusterFromS3Message$S3Prefix' => 'The prefix for all of the file names that contain the data used to create the Amazon Aurora DB cluster. If you do not specify a SourceS3Prefix value, then the Amazon Aurora DB cluster is created by using all of the files in the Amazon S3 bucket.
', 'RestoreDBClusterFromS3Message$S3IngestionRoleArn' => 'The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role that authorizes Amazon RDS to access the Amazon S3 bucket on your behalf.
', 'RestoreDBClusterFromS3Message$Domain' => 'Specify the Active Directory directory ID to restore the DB cluster in. The domain must be created prior to this operation.
For Amazon Aurora DB clusters, Amazon RDS can use Kerberos Authentication to authenticate users that connect to the DB cluster. For more information, see Kerberos Authentication in the Amazon Aurora User Guide.
', 'RestoreDBClusterFromS3Message$DomainIAMRoleName' => 'Specify the name of the IAM role to be used when making API calls to the Directory Service.
', 'RestoreDBClusterFromS3Message$NetworkType' => 'The network type of the DB cluster.
Valid Values:
IPV4
DUAL
The network type is determined by the DBSubnetGroup specified for the DB cluster. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon Aurora User Guide.
', 'RestoreDBClusterFromS3Message$MasterUserSecretKmsKeyId' => 'The Amazon Web Services KMS key identifier to encrypt a secret that is automatically generated and managed in Amazon Web Services Secrets Manager.
This setting is valid only if the master user password is managed by RDS in Amazon Web Services Secrets Manager for the DB cluster.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
If you don\'t specify MasterUserSecretKmsKeyId, then the aws/secretsmanager KMS key is used to encrypt the secret. If the secret is in a different Amazon Web Services account, then you can\'t use the aws/secretsmanager KMS key to encrypt the secret, and you must use a customer managed KMS key.
There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
', 'RestoreDBClusterFromS3Message$StorageType' => 'Specifies the storage type to be associated with the DB cluster.
Valid Values: aurora, aurora-iopt1
Default: aurora
Valid for: Aurora DB clusters only
', 'RestoreDBClusterFromS3Message$EngineLifecycleSupport' => 'The life cycle type for this DB cluster.
By default, this value is set to open-source-rds-extended-support, which enrolls your DB cluster into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, RDS automatically upgrades your restored DB cluster to a higher engine version, if the major engine version is past its end of standard support date.
You can use this setting to enroll your DB cluster into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your DB cluster past the end of standard support for that engine version. For more information, see the following sections:
Amazon Aurora - Using Amazon RDS Extended Support in the Amazon Aurora User Guide
Amazon RDS - Using Amazon RDS Extended Support in the Amazon RDS User Guide
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The name of the DB cluster to create from the DB snapshot or DB cluster snapshot. This parameter isn\'t case-sensitive.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Example: my-snapshot-id
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$SnapshotIdentifier' => 'The identifier for the DB snapshot or DB cluster snapshot to restore from.
You can use either the name or the Amazon Resource Name (ARN) to specify a DB cluster snapshot. However, you can use only the ARN to specify a DB snapshot.
Constraints:
Must match the identifier of an existing Snapshot.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$Engine' => 'The database engine to use for the new DB cluster.
Default: The same as source
Constraint: Must be compatible with the engine of the source
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$EngineVersion' => 'The version of the database engine to use for the new DB cluster. If you don\'t specify an engine version, the default version for the database engine in the Amazon Web Services Region is used.
To list all of the available engine versions for Aurora MySQL, use the following command:
aws rds describe-db-engine-versions --engine aurora-mysql --query "DBEngineVersions[].EngineVersion"
To list all of the available engine versions for Aurora PostgreSQL, use the following command:
aws rds describe-db-engine-versions --engine aurora-postgresql --query "DBEngineVersions[].EngineVersion"
To list all of the available engine versions for RDS for MySQL, use the following command:
aws rds describe-db-engine-versions --engine mysql --query "DBEngineVersions[].EngineVersion"
To list all of the available engine versions for RDS for PostgreSQL, use the following command:
aws rds describe-db-engine-versions --engine postgres --query "DBEngineVersions[].EngineVersion"
Aurora MySQL
See Database engine updates for Amazon Aurora MySQL in the Amazon Aurora User Guide.
Aurora PostgreSQL
See Amazon Aurora PostgreSQL releases and engine versions in the Amazon Aurora User Guide.
MySQL
See Amazon RDS for MySQL in the Amazon RDS User Guide.
PostgreSQL
See Amazon RDS for PostgreSQL versions and extensions in the Amazon RDS User Guide.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$DBSubnetGroupName' => 'The name of the DB subnet group to use for the new DB cluster.
Constraints: If supplied, must match the name of an existing DB subnet group.
Example: mydbsubnetgroup
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$DatabaseName' => 'The database name for the restored DB cluster.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$OptionGroupName' => 'The name of the option group to use for the restored DB cluster.
DB clusters are associated with a default option group that can\'t be modified.
', 'RestoreDBClusterFromSnapshotMessage$KmsKeyId' => 'The Amazon Web Services KMS key identifier to use when restoring an encrypted DB cluster from a DB snapshot or DB cluster snapshot.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
When you don\'t specify a value for the KmsKeyId parameter, then the following occurs:
If the DB snapshot or DB cluster snapshot in SnapshotIdentifier is encrypted, then the restored DB cluster is encrypted using the KMS key that was used to encrypt the DB snapshot or DB cluster snapshot.
If the DB snapshot or DB cluster snapshot in SnapshotIdentifier isn\'t encrypted, then the restored DB cluster isn\'t encrypted.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$EngineMode' => 'The DB engine mode of the DB cluster, either provisioned or serverless.
For more information, see CreateDBCluster.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterFromSnapshotMessage$DBClusterParameterGroupName' => 'The name of the DB cluster parameter group to associate with this DB cluster. If this argument is omitted, the default DB cluster parameter group for the specified engine is used.
Constraints:
If supplied, must match the name of an existing default DB cluster parameter group.
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$Domain' => 'The Active Directory directory ID to restore the DB cluster in. The domain must be created prior to this operation. Currently, only MySQL, Microsoft SQL Server, Oracle, and PostgreSQL DB instances can be created in an Active Directory Domain.
For more information, see Kerberos Authentication in the Amazon RDS User Guide.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterFromSnapshotMessage$DomainIAMRoleName' => 'The name of the IAM role to be used when making API calls to the Directory Service.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterFromSnapshotMessage$DBClusterInstanceClass' => 'The compute and memory capacity of the each DB instance in the Multi-AZ DB cluster, for example db.m6gd.xlarge. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines.
For the full list of DB instance classes, and availability for your engine, see DB Instance Class in the Amazon RDS User Guide.
Valid for: Multi-AZ DB clusters only
', 'RestoreDBClusterFromSnapshotMessage$StorageType' => 'Specifies the storage type to be associated with the DB cluster.
When specified for a Multi-AZ DB cluster, a value for the Iops parameter is required.
Valid Values: aurora, aurora-iopt1 (Aurora DB clusters); io1 (Multi-AZ DB clusters)
Default: aurora (Aurora DB clusters); io1 (Multi-AZ DB clusters)
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterFromSnapshotMessage$NetworkType' => 'The network type of the DB cluster.
Valid Values:
IPV4
DUAL
The network type is determined by the DBSubnetGroup specified for the DB cluster. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon Aurora User Guide.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterFromSnapshotMessage$MonitoringRoleArn' => 'The Amazon Resource Name (ARN) for the IAM role that permits RDS to send Enhanced Monitoring metrics to Amazon CloudWatch Logs. An example is arn:aws:iam:123456789012:role/emaccess.
If MonitoringInterval is set to a value other than 0, supply a MonitoringRoleArn value.
The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you don\'t specify a value for PerformanceInsightsKMSKeyId, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
The life cycle type for this DB cluster.
By default, this value is set to open-source-rds-extended-support, which enrolls your DB cluster into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, RDS automatically upgrades your restored DB cluster to a higher engine version, if the major engine version is past its end of standard support date.
You can use this setting to enroll your DB cluster into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your DB cluster past the end of standard support for that engine version. For more information, see the following sections:
Amazon Aurora - Using Amazon RDS Extended Support in the Amazon Aurora User Guide
Amazon RDS - Using Amazon RDS Extended Support in the Amazon RDS User Guide
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The name of the new DB cluster to be created.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens
First character must be a letter
Can\'t end with a hyphen or contain two consecutive hyphens
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$RestoreType' => 'The type of restore to be performed. You can specify one of the following values:
full-copy - The new DB cluster is restored as a full copy of the source DB cluster.
copy-on-write - The new DB cluster is restored as a clone of the source DB cluster.
If you don\'t specify a RestoreType value, then the new DB cluster is restored as a full copy of the source DB cluster.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$SourceDBClusterIdentifier' => 'The identifier of the source DB cluster from which to restore.
Constraints:
Must match the identifier of an existing DBCluster.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$DBSubnetGroupName' => 'The DB subnet group name to use for the new DB cluster.
Constraints: If supplied, must match the name of an existing DBSubnetGroup.
Example: mydbsubnetgroup
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$OptionGroupName' => 'The name of the option group for the new DB cluster.
DB clusters are associated with a default option group that can\'t be modified.
', 'RestoreDBClusterToPointInTimeMessage$KmsKeyId' => 'The Amazon Web Services KMS key identifier to use when restoring an encrypted DB cluster from an encrypted DB cluster.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
You can restore to a new DB cluster and encrypt the new DB cluster with a KMS key that is different from the KMS key used to encrypt the source DB cluster. The new DB cluster is encrypted with the KMS key identified by the KmsKeyId parameter.
If you don\'t specify a value for the KmsKeyId parameter, then the following occurs:
If the DB cluster is encrypted, then the restored DB cluster is encrypted using the KMS key that was used to encrypt the source DB cluster.
If the DB cluster isn\'t encrypted, then the restored DB cluster isn\'t encrypted.
If DBClusterIdentifier refers to a DB cluster that isn\'t encrypted, then the restore request is rejected.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$DBClusterParameterGroupName' => 'The name of the custom DB cluster parameter group to associate with this DB cluster.
If the DBClusterParameterGroupName parameter is omitted, the default DB cluster parameter group for the specified engine is used.
Constraints:
If supplied, must match the name of an existing DB cluster parameter group.
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$Domain' => 'The Active Directory directory ID to restore the DB cluster in. The domain must be created prior to this operation.
For Amazon Aurora DB clusters, Amazon RDS can use Kerberos Authentication to authenticate users that connect to the DB cluster. For more information, see Kerberos Authentication in the Amazon Aurora User Guide.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$DomainIAMRoleName' => 'The name of the IAM role to be used when making API calls to the Directory Service.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$EngineMode' => 'The engine mode of the new cluster. Specify provisioned or serverless, depending on the type of the cluster you are creating. You can create an Aurora Serverless v1 clone from a provisioned cluster, or a provisioned clone from an Aurora Serverless v1 cluster. To create a clone that is an Aurora Serverless v1 cluster, the original cluster must be an Aurora Serverless v1 cluster or an encrypted provisioned cluster. To create a full copy that is an Aurora Serverless v1 cluster, specify the engine mode serverless.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$DBClusterInstanceClass' => 'The compute and memory capacity of the each DB instance in the Multi-AZ DB cluster, for example db.m6gd.xlarge. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines.
For the full list of DB instance classes, and availability for your engine, see DB instance class in the Amazon RDS User Guide.
Valid for: Multi-AZ DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$StorageType' => 'Specifies the storage type to be associated with the DB cluster.
When specified for a Multi-AZ DB cluster, a value for the Iops parameter is required.
Valid Values: aurora, aurora-iopt1 (Aurora DB clusters); io1 (Multi-AZ DB clusters)
Default: aurora (Aurora DB clusters); io1 (Multi-AZ DB clusters)
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$NetworkType' => 'The network type of the DB cluster.
Valid Values:
IPV4
DUAL
The network type is determined by the DBSubnetGroup specified for the DB cluster. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon Aurora User Guide.
Valid for: Aurora DB clusters only
', 'RestoreDBClusterToPointInTimeMessage$SourceDbClusterResourceId' => 'The resource ID of the source DB cluster from which to restore.
', 'RestoreDBClusterToPointInTimeMessage$MonitoringRoleArn' => 'The Amazon Resource Name (ARN) for the IAM role that permits RDS to send Enhanced Monitoring metrics to Amazon CloudWatch Logs. An example is arn:aws:iam:123456789012:role/emaccess.
If MonitoringInterval is set to a value other than 0, supply a MonitoringRoleArn value.
The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you don\'t specify a value for PerformanceInsightsKMSKeyId, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
The life cycle type for this DB cluster.
By default, this value is set to open-source-rds-extended-support, which enrolls your DB cluster into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, RDS automatically upgrades your restored DB cluster to a higher engine version, if the major engine version is past its end of standard support date.
You can use this setting to enroll your DB cluster into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your DB cluster past the end of standard support for that engine version. For more information, see the following sections:
Amazon Aurora - Using Amazon RDS Extended Support in the Amazon Aurora User Guide
Amazon RDS - Using Amazon RDS Extended Support in the Amazon RDS User Guide
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The name of the DB instance to create from the DB snapshot. This parameter isn\'t case-sensitive.
Constraints:
Must contain from 1 to 63 numbers, letters, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: my-snapshot-id
The identifier for the DB snapshot to restore from.
Constraints:
Must match the identifier of an existing DB snapshot.
Can\'t be specified when DBClusterSnapshotIdentifier is specified.
Must be specified when DBClusterSnapshotIdentifier isn\'t specified.
If you are restoring from a shared manual DB snapshot, the DBSnapshotIdentifier must be the ARN of the shared DB snapshot.
The compute and memory capacity of the Amazon RDS DB instance, for example db.m4.large. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines. For the full list of DB instance classes, and availability for your engine, see DB Instance Class in the Amazon RDS User Guide.
Default: The same DBInstanceClass as the original DB instance.
', 'RestoreDBInstanceFromDBSnapshotMessage$AvailabilityZone' => 'The Availability Zone (AZ) where the DB instance will be created.
Default: A random, system-chosen Availability Zone.
Constraint: You can\'t specify the AvailabilityZone parameter if the DB instance is a Multi-AZ deployment.
Example: us-east-1a
The name of the DB subnet group to use for the new instance.
Constraints:
If supplied, must match the name of an existing DB subnet group.
Example: mydbsubnetgroup
License model information for the restored DB instance.
License models for RDS for Db2 require additional configuration. The Bring Your Own License (BYOL) model requires a custom parameter group and an Amazon Web Services License Manager self-managed license. The Db2 license through Amazon Web Services Marketplace model requires an Amazon Web Services Marketplace subscription. For more information, see Amazon RDS for Db2 licensing options in the Amazon RDS User Guide.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
Valid Values:
RDS for Db2 - bring-your-own-license | marketplace-license
RDS for MariaDB - general-public-license
RDS for Microsoft SQL Server - license-included
RDS for MySQL - general-public-license
RDS for Oracle - bring-your-own-license | license-included
RDS for PostgreSQL - postgresql-license
Default: Same as the source.
', 'RestoreDBInstanceFromDBSnapshotMessage$DBName' => 'The name of the database for the restored DB instance.
This parameter only applies to RDS for Oracle and RDS for SQL Server DB instances. It doesn\'t apply to the other engines or to RDS Custom DB instances.
', 'RestoreDBInstanceFromDBSnapshotMessage$Engine' => 'The database engine to use for the new instance.
This setting doesn\'t apply to RDS Custom.
Default: The same as source
Constraint: Must be compatible with the engine of the source. For example, you can restore a MariaDB 10.1 DB instance from a MySQL 5.6 snapshot.
Valid Values:
db2-ae
db2-se
mariadb
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
The name of the option group to be used for the restored DB instance.
Permanent options, such as the TDE option for Oracle Advanced Security TDE, can\'t be removed from an option group, and that option group can\'t be removed from a DB instance after it is associated with a DB instance.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceFromDBSnapshotMessage$StorageType' => 'Specifies the storage type to be associated with the DB instance.
Valid Values: gp2 | gp3 | io1 | io2 | standard
If you specify io1, io2, or gp3, you must also include a value for the Iops parameter.
Default: io1 if the Iops parameter is specified, otherwise gp2
The ARN from the key store with which to associate the instance for TDE encryption.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceFromDBSnapshotMessage$TdeCredentialPassword' => 'The password for the given ARN from the key store in order to access the device.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceFromDBSnapshotMessage$Domain' => 'The Active Directory directory ID to restore the DB instance in. The domain/ must be created prior to this operation. Currently, you can create only Db2, MySQL, Microsoft SQL Server, Oracle, and PostgreSQL DB instances in an Active Directory Domain.
For more information, see Kerberos Authentication in the Amazon RDS User Guide.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceFromDBSnapshotMessage$DomainFqdn' => 'The fully qualified domain name (FQDN) of an Active Directory domain.
Constraints:
Can\'t be longer than 64 characters.
Example: mymanagedADtest.mymanagedAD.mydomain
The Active Directory organizational unit for your DB instance to join.
Constraints:
Must be in the distinguished name format.
Can\'t be longer than 64 characters.
Example: OU=mymanagedADtestOU,DC=mymanagedADtest,DC=mymanagedAD,DC=mydomain
The ARN for the Secrets Manager secret with the credentials for the user joining the domain.
Constraints:
Can\'t be longer than 64 characters.
Example: arn:aws:secretsmanager:region:account-number:secret:myselfmanagedADtestsecret-123456
The name of the IAM role to use when making API calls to the Directory Service.
This setting doesn\'t apply to RDS Custom DB instances.
', 'RestoreDBInstanceFromDBSnapshotMessage$DBParameterGroupName' => 'The name of the DB parameter group to associate with this DB instance.
If you don\'t specify a value for DBParameterGroupName, then RDS uses the default DBParameterGroup for the specified DB engine.
This setting doesn\'t apply to RDS Custom.
Constraints:
If supplied, must match the name of an existing DB parameter group.
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
The instance profile associated with the underlying Amazon EC2 instance of an RDS Custom DB instance. The instance profile must meet the following requirements:
The profile must exist in your account.
The profile must have an IAM role that Amazon EC2 has permissions to assume.
The instance profile name and the associated IAM role name must start with the prefix AWSRDSCustom.
For the list of permissions required for the IAM role, see Configure IAM and your VPC in the Amazon RDS User Guide.
This setting is required for RDS Custom.
', 'RestoreDBInstanceFromDBSnapshotMessage$BackupTarget' => 'Specifies where automated backups and manual snapshots are stored for the restored DB instance.
Possible values are outposts (Amazon Web Services Outposts) and region (Amazon Web Services Region). The default is region.
For more information, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromDBSnapshotMessage$NetworkType' => 'The network type of the DB instance.
Valid Values:
IPV4
DUAL
The network type is determined by the DBSubnetGroup specified for the DB instance. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromDBSnapshotMessage$DBClusterSnapshotIdentifier' => 'The identifier for the Multi-AZ DB cluster snapshot to restore from.
For more information on Multi-AZ DB clusters, see Multi-AZ DB cluster deployments in the Amazon RDS User Guide.
Constraints:
Must match the identifier of an existing Multi-AZ DB cluster snapshot.
Can\'t be specified when DBSnapshotIdentifier is specified.
Must be specified when DBSnapshotIdentifier isn\'t specified.
If you are restoring from a shared manual Multi-AZ DB cluster snapshot, the DBClusterSnapshotIdentifier must be the ARN of the shared snapshot.
Can\'t be the identifier of an Aurora DB cluster snapshot.
The CA certificate identifier to use for the DB instance\'s server certificate.
This setting doesn\'t apply to RDS Custom DB instances.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'RestoreDBInstanceFromDBSnapshotMessage$EngineLifecycleSupport' => 'The life cycle type for this DB instance.
By default, this value is set to open-source-rds-extended-support, which enrolls your DB instance into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, RDS automatically upgrades your restored DB instance to a higher engine version, if the major engine version is past its end of standard support date.
You can use this setting to enroll your DB instance into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your DB instance past the end of standard support for that engine version. For more information, see Using Amazon RDS Extended Support in the Amazon RDS User Guide.
This setting applies only to RDS for MySQL and RDS for PostgreSQL. For Amazon Aurora DB instances, the life cycle type is managed by the DB cluster.
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The name of the database to create when the DB instance is created. Follow the naming rules specified in CreateDBInstance.
The DB instance identifier. This parameter is stored as a lowercase string.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
Example: mydbinstance
The compute and memory capacity of the DB instance, for example db.m4.large. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines. For the full list of DB instance classes, and availability for your engine, see DB Instance Class in the Amazon RDS User Guide.
Importing from Amazon S3 isn\'t supported on the db.t2.micro DB instance class.
', 'RestoreDBInstanceFromS3Message$Engine' => 'The name of the database engine to be used for this instance.
Valid Values: mysql
The name for the master user.
Constraints:
Must be 1 to 16 letters or numbers.
First character must be a letter.
Can\'t be a reserved word for the chosen database engine.
The password for the master user.
Constraints:
Can\'t be specified if ManageMasterUserPassword is turned on.
Can include any printable ASCII character except "/", """, or "@". For RDS for Oracle, can\'t include the "&" (ampersand) or the "\'" (single quotes) character.
Length Constraints:
RDS for Db2 - Must contain from 8 to 128 characters.
RDS for MariaDB - Must contain from 8 to 41 characters.
RDS for Microsoft SQL Server - Must contain from 8 to 128 characters.
RDS for MySQL - Must contain from 8 to 41 characters.
RDS for Oracle - Must contain from 8 to 30 characters.
RDS for PostgreSQL - Must contain from 8 to 128 characters.
The Availability Zone that the DB instance is created in. For information about Amazon Web Services Regions and Availability Zones, see Regions and Availability Zones in the Amazon RDS User Guide.
Default: A random, system-chosen Availability Zone in the endpoint\'s Amazon Web Services Region.
Example: us-east-1d
Constraint: The AvailabilityZone parameter can\'t be specified if the DB instance is a Multi-AZ deployment. The specified Availability Zone must be in the same Amazon Web Services Region as the current endpoint.
A DB subnet group to associate with this DB instance.
Constraints: If supplied, must match the name of an existing DBSubnetGroup.
Example: mydbsubnetgroup
The time range each week during which system maintenance can occur, in Universal Coordinated Time (UTC). For more information, see Amazon RDS Maintenance Window in the Amazon RDS User Guide.
Constraints:
Must be in the format ddd:hh24:mi-ddd:hh24:mi.
Valid Days: Mon, Tue, Wed, Thu, Fri, Sat, Sun.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred backup window.
Must be at least 30 minutes.
The name of the DB parameter group to associate with this DB instance.
If you do not specify a value for DBParameterGroupName, then the default DBParameterGroup for the specified DB engine is used.
The time range each day during which automated backups are created if automated backups are enabled. For more information, see Backup window in the Amazon RDS User Guide.
Constraints:
Must be in the format hh24:mi-hh24:mi.
Must be in Universal Coordinated Time (UTC).
Must not conflict with the preferred maintenance window.
Must be at least 30 minutes.
The version number of the database engine to use. Choose the latest minor version of your database engine. For information about engine versions, see CreateDBInstance, or call DescribeDBEngineVersions.
The license model for this DB instance. Use general-public-license.
The name of the option group to associate with this DB instance. If this argument is omitted, the default option group for the specified engine is used.
', 'RestoreDBInstanceFromS3Message$StorageType' => 'Specifies the storage type to be associated with the DB instance.
Valid Values: gp2 | gp3 | io1 | io2 | standard
If you specify io1, io2, or gp3, you must also include a value for the Iops parameter.
Default: io1 if the Iops parameter is specified; otherwise gp2
The Amazon Web Services KMS key identifier for an encrypted DB instance.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
If the StorageEncrypted parameter is enabled, and you do not specify a value for the KmsKeyId parameter, then Amazon RDS will use your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
The ARN for the IAM role that permits RDS to send enhanced monitoring metrics to Amazon CloudWatch Logs. For example, arn:aws:iam:123456789012:role/emaccess. For information on creating a monitoring role, see Setting Up and Enabling Enhanced Monitoring in the Amazon RDS User Guide.
If MonitoringInterval is set to a value other than 0, then you must supply a MonitoringRoleArn value.
The name of the engine of your source database.
Valid Values: mysql
The version of the database that the backup files were created from.
MySQL versions 5.6 and 5.7 are supported.
Example: 5.6.40
The name of your Amazon S3 bucket that contains your database backup file.
', 'RestoreDBInstanceFromS3Message$S3Prefix' => 'The prefix of your Amazon S3 bucket.
', 'RestoreDBInstanceFromS3Message$S3IngestionRoleArn' => 'An Amazon Web Services Identity and Access Management (IAM) role with a trust policy and a permissions policy that allows Amazon RDS to access your Amazon S3 bucket. For information about this role, see Creating an IAM role manually in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromS3Message$PerformanceInsightsKMSKeyId' => 'The Amazon Web Services KMS key identifier for encryption of Performance Insights data.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
If you do not specify a value for PerformanceInsightsKMSKeyId, then Amazon RDS uses your default KMS key. There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
The network type of the DB instance.
Valid Values:
IPV4
DUAL
The network type is determined by the DBSubnetGroup specified for the DB instance. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
', 'RestoreDBInstanceFromS3Message$MasterUserSecretKmsKeyId' => 'The Amazon Web Services KMS key identifier to encrypt a secret that is automatically generated and managed in Amazon Web Services Secrets Manager.
This setting is valid only if the master user password is managed by RDS in Amazon Web Services Secrets Manager for the DB instance.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. To use a KMS key in a different Amazon Web Services account, specify the key ARN or alias ARN.
If you don\'t specify MasterUserSecretKmsKeyId, then the aws/secretsmanager KMS key is used to encrypt the secret. If the secret is in a different Amazon Web Services account, then you can\'t use the aws/secretsmanager KMS key to encrypt the secret, and you must use a customer managed KMS key.
There is a default KMS key for your Amazon Web Services account. Your Amazon Web Services account has a different default KMS key for each Amazon Web Services Region.
', 'RestoreDBInstanceFromS3Message$CACertificateIdentifier' => 'The CA certificate identifier to use for the DB instance\'s server certificate.
This setting doesn\'t apply to RDS Custom DB instances.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'RestoreDBInstanceFromS3Message$EngineLifecycleSupport' => 'The life cycle type for this DB instance.
By default, this value is set to open-source-rds-extended-support, which enrolls your DB instance into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, RDS automatically upgrades your restored DB instance to a higher engine version, if the major engine version is past its end of standard support date.
You can use this setting to enroll your DB instance into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your DB instance past the end of standard support for that engine version. For more information, see Using Amazon RDS Extended Support in the Amazon RDS User Guide.
This setting applies only to RDS for MySQL and RDS for PostgreSQL. For Amazon Aurora DB instances, the life cycle type is managed by the DB cluster.
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The identifier of the source DB instance from which to restore.
Constraints:
Must match the identifier of an existing DB instance.
The name of the new DB instance to create.
Constraints:
Must contain from 1 to 63 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
The compute and memory capacity of the Amazon RDS DB instance, for example db.m4.large. Not all DB instance classes are available in all Amazon Web Services Regions, or for all database engines. For the full list of DB instance classes, and availability for your engine, see DB Instance Class in the Amazon RDS User Guide.
Default: The same DB instance class as the original DB instance.
', 'RestoreDBInstanceToPointInTimeMessage$AvailabilityZone' => 'The Availability Zone (AZ) where the DB instance will be created.
Default: A random, system-chosen Availability Zone.
Constraints:
You can\'t specify the AvailabilityZone parameter if the DB instance is a Multi-AZ deployment.
Example: us-east-1a
The DB subnet group name to use for the new instance.
Constraints:
If supplied, must match the name of an existing DB subnet group.
Example: mydbsubnetgroup
The license model information for the restored DB instance.
License models for RDS for Db2 require additional configuration. The Bring Your Own License (BYOL) model requires a custom parameter group and an Amazon Web Services License Manager self-managed license. The Db2 license through Amazon Web Services Marketplace model requires an Amazon Web Services Marketplace subscription. For more information, see Amazon RDS for Db2 licensing options in the Amazon RDS User Guide.
This setting doesn\'t apply to Amazon Aurora or RDS Custom DB instances.
Valid Values:
RDS for Db2 - bring-your-own-license | marketplace-license
RDS for MariaDB - general-public-license
RDS for Microsoft SQL Server - license-included
RDS for MySQL - general-public-license
RDS for Oracle - bring-your-own-license | license-included
RDS for PostgreSQL - postgresql-license
Default: Same as the source.
', 'RestoreDBInstanceToPointInTimeMessage$DBName' => 'The database name for the restored DB instance.
This parameter doesn\'t apply to the following DB instances:
RDS Custom
RDS for Db2
RDS for MariaDB
RDS for MySQL
The database engine to use for the new instance.
This setting doesn\'t apply to RDS Custom.
Valid Values:
db2-ae
db2-se
mariadb
mysql
oracle-ee
oracle-ee-cdb
oracle-se2
oracle-se2-cdb
postgres
sqlserver-ee
sqlserver-se
sqlserver-ex
sqlserver-web
Default: The same as source
Constraints:
Must be compatible with the engine of the source.
The name of the option group to use for the restored DB instance.
Permanent options, such as the TDE option for Oracle Advanced Security TDE, can\'t be removed from an option group, and that option group can\'t be removed from a DB instance after it is associated with a DB instance
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceToPointInTimeMessage$StorageType' => 'The storage type to associate with the DB instance.
Valid Values: gp2 | gp3 | io1 | io2 | standard
Default: io1, if the Iops parameter is specified. Otherwise, gp2.
Constraints:
If you specify io1, io2, or gp3, you must also include a value for the Iops parameter.
The ARN from the key store with which to associate the instance for TDE encryption.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceToPointInTimeMessage$TdeCredentialPassword' => 'The password for the given ARN from the key store in order to access the device.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceToPointInTimeMessage$Domain' => 'The Active Directory directory ID to restore the DB instance in. Create the domain before running this command. Currently, you can create only the MySQL, Microsoft SQL Server, Oracle, and PostgreSQL DB instances in an Active Directory Domain.
This setting doesn\'t apply to RDS Custom.
For more information, see Kerberos Authentication in the Amazon RDS User Guide.
', 'RestoreDBInstanceToPointInTimeMessage$DomainIAMRoleName' => 'The name of the IAM role to use when making API calls to the Directory Service.
This setting doesn\'t apply to RDS Custom DB instances.
', 'RestoreDBInstanceToPointInTimeMessage$DomainFqdn' => 'The fully qualified domain name (FQDN) of an Active Directory domain.
Constraints:
Can\'t be longer than 64 characters.
Example: mymanagedADtest.mymanagedAD.mydomain
The Active Directory organizational unit for your DB instance to join.
Constraints:
Must be in the distinguished name format.
Can\'t be longer than 64 characters.
Example: OU=mymanagedADtestOU,DC=mymanagedADtest,DC=mymanagedAD,DC=mydomain
The ARN for the Secrets Manager secret with the credentials for the user joining the domain.
Constraints:
Can\'t be longer than 64 characters.
Example: arn:aws:secretsmanager:region:account-number:secret:myselfmanagedADtestsecret-123456
The name of the DB parameter group to associate with this DB instance.
If you do not specify a value for DBParameterGroupName, then the default DBParameterGroup for the specified DB engine is used.
This setting doesn\'t apply to RDS Custom.
Constraints:
If supplied, must match the name of an existing DB parameter group.
Must be 1 to 255 letters, numbers, or hyphens.
First character must be a letter.
Can\'t end with a hyphen or contain two consecutive hyphens.
The resource ID of the source DB instance from which to restore.
', 'RestoreDBInstanceToPointInTimeMessage$SourceDBInstanceAutomatedBackupsArn' => 'The Amazon Resource Name (ARN) of the replicated automated backups from which to restore, for example, arn:aws:rds:us-east-1:123456789012:auto-backup:ab-L2IJCEXJP7XQ7HOJ4SIEXAMPLE.
This setting doesn\'t apply to RDS Custom.
', 'RestoreDBInstanceToPointInTimeMessage$CustomIamInstanceProfile' => 'The instance profile associated with the underlying Amazon EC2 instance of an RDS Custom DB instance. The instance profile must meet the following requirements:
The profile must exist in your account.
The profile must have an IAM role that Amazon EC2 has permissions to assume.
The instance profile name and the associated IAM role name must start with the prefix AWSRDSCustom.
For the list of permissions required for the IAM role, see Configure IAM and your VPC in the Amazon RDS User Guide.
This setting is required for RDS Custom.
', 'RestoreDBInstanceToPointInTimeMessage$BackupTarget' => 'The location for storing automated backups and manual snapshots for the restored DB instance.
Valid Values:
outposts (Amazon Web Services Outposts)
region (Amazon Web Services Region)
Default: region
For more information, see Working with Amazon RDS on Amazon Web Services Outposts in the Amazon RDS User Guide.
', 'RestoreDBInstanceToPointInTimeMessage$NetworkType' => 'The network type of the DB instance.
The network type is determined by the DBSubnetGroup specified for the DB instance. A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
Valid Values:
IPV4
DUAL
The CA certificate identifier to use for the DB instance\'s server certificate.
This setting doesn\'t apply to RDS Custom DB instances.
For more information, see Using SSL/TLS to encrypt a connection to a DB instance in the Amazon RDS User Guide and Using SSL/TLS to encrypt a connection to a DB cluster in the Amazon Aurora User Guide.
', 'RestoreDBInstanceToPointInTimeMessage$EngineLifecycleSupport' => 'The life cycle type for this DB instance.
By default, this value is set to open-source-rds-extended-support, which enrolls your DB instance into Amazon RDS Extended Support. At the end of standard support, you can avoid charges for Extended Support by setting the value to open-source-rds-extended-support-disabled. In this case, RDS automatically upgrades your restored DB instance to a higher engine version, if the major engine version is past its end of standard support date.
You can use this setting to enroll your DB instance into Amazon RDS Extended Support. With RDS Extended Support, you can run the selected major engine version on your DB instance past the end of standard support for that engine version. For more information, see Using Amazon RDS Extended Support in the Amazon RDS User Guide.
This setting applies only to RDS for MySQL and RDS for PostgreSQL. For Amazon Aurora DB instances, the life cycle type is managed by the DB cluster.
Valid Values: open-source-rds-extended-support | open-source-rds-extended-support-disabled
Default: open-source-rds-extended-support
The name of the DB security group to revoke ingress from.
', 'RevokeDBSecurityGroupIngressMessage$CIDRIP' => 'The IP range to revoke access from. Must be a valid CIDR range. If CIDRIP is specified, EC2SecurityGroupName, EC2SecurityGroupId and EC2SecurityGroupOwnerId can\'t be provided.
The name of the EC2 security group to revoke access from. For VPC DB security groups, EC2SecurityGroupId must be provided. Otherwise, EC2SecurityGroupOwnerId and either EC2SecurityGroupName or EC2SecurityGroupId must be provided.
The id of the EC2 security group to revoke access from. For VPC DB security groups, EC2SecurityGroupId must be provided. Otherwise, EC2SecurityGroupOwnerId and either EC2SecurityGroupName or EC2SecurityGroupId must be provided.
The Amazon Web Services account number of the owner of the EC2 security group specified in the EC2SecurityGroupName parameter. The Amazon Web Services access key ID isn\'t an acceptable value. For VPC DB security groups, EC2SecurityGroupId must be provided. Otherwise, EC2SecurityGroupOwnerId and either EC2SecurityGroupName or EC2SecurityGroupId must be provided.
The action to take when the timeout is reached, either ForceApplyCapacityChange or RollbackCapacityChange.
ForceApplyCapacityChange sets the capacity to the specified value as soon as possible.
RollbackCapacityChange, the default, ignores the capacity change if a scaling point isn\'t found in the timeout period.
If you specify ForceApplyCapacityChange, connections that prevent Aurora Serverless v1 from finding a scaling point might be dropped.
For more information, see Autoscaling for Aurora Serverless v1 in the Amazon Aurora User Guide.
', 'ScalingConfigurationInfo$TimeoutAction' => 'The action that occurs when Aurora times out while attempting to change the capacity of an Aurora Serverless v1 cluster. The value is either ForceApplyCapacityChange or RollbackCapacityChange.
ForceApplyCapacityChange, the default, sets the capacity to the specified value as soon as possible.
RollbackCapacityChange ignores the capacity change if a scaling point isn\'t found in the timeout period.
The name of the source Amazon Web Services Region.
', 'SourceRegion$Endpoint' => 'The endpoint for the source Amazon Web Services Region endpoint.
', 'SourceRegion$Status' => 'The status of the source Amazon Web Services Region.
', 'SourceRegionMessage$Marker' => 'An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The Amazon Resource Name (ARN) of the DB cluster, for example, arn:aws:rds:us-east-1:12345667890:cluster:das-cluster.
The Amazon Web Services KMS key identifier for encrypting messages in the database activity stream. The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'StartActivityStreamResponse$KmsKeyId' => 'The Amazon Web Services KMS key identifier for encryption of messages in the database activity stream.
', 'StartActivityStreamResponse$KinesisStreamName' => 'The name of the Amazon Kinesis data stream to be used for the database activity stream.
', 'StartDBClusterMessage$DBClusterIdentifier' => 'The DB cluster identifier of the Amazon Aurora DB cluster to be started. This parameter is stored as a lowercase string.
', 'StartDBInstanceAutomatedBackupsReplicationMessage$SourceDBInstanceArn' => 'The Amazon Resource Name (ARN) of the source DB instance for the replicated automated backups, for example, arn:aws:rds:us-west-2:123456789012:db:mydatabase.
The Amazon Web Services KMS key identifier for encryption of the replicated automated backups. The KMS key ID is the Amazon Resource Name (ARN) for the KMS encryption key in the destination Amazon Web Services Region, for example, arn:aws:kms:us-east-1:123456789012:key/AKIAIOSFODNN7EXAMPLE.
In an Amazon Web Services GovCloud (US) Region, an URL that contains a Signature Version 4 signed request for the StartDBInstanceAutomatedBackupsReplication operation to call in the Amazon Web Services Region of the source DB instance. The presigned URL must be a valid request for the StartDBInstanceAutomatedBackupsReplication API operation that can run in the Amazon Web Services Region that contains the source DB instance.
This setting applies only to Amazon Web Services GovCloud (US) Regions. It\'s ignored in other Amazon Web Services Regions.
To learn how to generate a Signature Version 4 signed request, see Authenticating Requests: Using Query Parameters (Amazon Web Services Signature Version 4) and Signature Version 4 Signing Process.
If you are using an Amazon Web Services SDK tool or the CLI, you can specify SourceRegion (or --source-region for the CLI) instead of specifying PreSignedUrl manually. Specifying SourceRegion autogenerates a presigned URL that is a valid request for the operation that can run in the source Amazon Web Services Region.
The user-supplied instance identifier.
', 'StartExportTaskMessage$ExportTaskIdentifier' => 'A unique identifier for the export task. This ID isn\'t an identifier for the Amazon S3 bucket where the data is to be exported.
', 'StartExportTaskMessage$SourceArn' => 'The Amazon Resource Name (ARN) of the snapshot or cluster to export to Amazon S3.
', 'StartExportTaskMessage$S3BucketName' => 'The name of the Amazon S3 bucket to export the snapshot or cluster data to.
', 'StartExportTaskMessage$IamRoleArn' => 'The name of the IAM role to use for writing to the Amazon S3 bucket when exporting a snapshot or cluster.
In the IAM policy attached to your IAM role, include the following required actions to allow the transfer of files from Amazon RDS or Amazon Aurora to an S3 bucket:
s3:PutObject*
s3:GetObject*
s3:ListBucket
s3:DeleteObject*
s3:GetBucketLocation
In the policy, include the resources to identify the S3 bucket and objects in the bucket. The following list of resources shows the Amazon Resource Name (ARN) format for accessing S3:
arn:aws:s3:::your-s3-bucket
arn:aws:s3:::your-s3-bucket/*
The ID of the Amazon Web Services KMS key to use to encrypt the data exported to Amazon S3. The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key. The caller of this operation must be authorized to run the following operations. These can be set in the Amazon Web Services KMS key policy:
kms:Encrypt
kms:Decrypt
kms:GenerateDataKey
kms:GenerateDataKeyWithoutPlaintext
kms:ReEncryptFrom
kms:ReEncryptTo
kms:CreateGrant
kms:DescribeKey
kms:RetireGrant
The Amazon S3 bucket prefix to use as the file name and path of the exported data.
', 'StopActivityStreamRequest$ResourceArn' => 'The Amazon Resource Name (ARN) of the DB cluster for the database activity stream. For example, arn:aws:rds:us-east-1:12345667890:cluster:das-cluster.
The Amazon Web Services KMS key identifier used for encrypting messages in the database activity stream.
The Amazon Web Services KMS key identifier is the key ARN, key ID, alias ARN, or alias name for the KMS key.
', 'StopActivityStreamResponse$KinesisStreamName' => 'The name of the Amazon Kinesis data stream used for the database activity stream.
', 'StopDBClusterMessage$DBClusterIdentifier' => 'The DB cluster identifier of the Amazon Aurora DB cluster to be stopped. This parameter is stored as a lowercase string.
', 'StopDBInstanceAutomatedBackupsReplicationMessage$SourceDBInstanceArn' => 'The Amazon Resource Name (ARN) of the source DB instance for which to stop replicating automate backups, for example, arn:aws:rds:us-west-2:123456789012:db:mydatabase.
The user-supplied instance identifier.
', 'StopDBInstanceMessage$DBSnapshotIdentifier' => 'The user-supplied instance identifier of the DB Snapshot created immediately before the DB instance is stopped.
', 'StringList$member' => NULL, 'Subnet$SubnetIdentifier' => 'The identifier of the subnet.
', 'Subnet$SubnetStatus' => 'The status of the subnet.
', 'SubnetIdentifierList$member' => NULL, 'SwitchoverReadReplicaMessage$DBInstanceIdentifier' => 'The DB instance identifier of the current standby database. This value is stored as a lowercase string.
Constraints:
Must match the identifier of an existing Oracle read replica DB instance.
A key is the required name of the tag. The string value can be from 1 to 128 Unicode characters in length and can\'t be prefixed with aws: or rds:. The string can only contain only the set of Unicode letters, digits, white-space, \'_\', \'.\', \':\', \'/\', \'=\', \'+\', \'-\', \'@\' (Java regex: "^([\\\\p{L}\\\\p{Z}\\\\p{N}_.:/=+\\\\-@]*)$").
A value is the optional value of the tag. The string value can be from 1 to 256 Unicode characters in length and can\'t be prefixed with aws: or rds:. The string can only contain only the set of Unicode letters, digits, white-space, \'_\', \'.\', \':\', \'/\', \'=\', \'+\', \'-\', \'@\' (Java regex: "^([\\\\p{L}\\\\p{Z}\\\\p{N}_.:/=+\\\\-@]*)$").
A description of the health of the RDS Proxy target. If the State is AVAILABLE, a description is not included.
The ID of the DB instance that contains the tenant database.
', 'TenantDatabase$TenantDBName' => 'The database name of the tenant database.
', 'TenantDatabase$Status' => 'The status of the tenant database.
', 'TenantDatabase$MasterUsername' => 'The master username of the tenant database.
', 'TenantDatabase$DbiResourceId' => 'The Amazon Web Services Region-unique, immutable identifier for the DB instance.
', 'TenantDatabase$TenantDatabaseResourceId' => 'The Amazon Web Services Region-unique, immutable identifier for the tenant database.
', 'TenantDatabase$TenantDatabaseARN' => 'The Amazon Resource Name (ARN) for the tenant database.
', 'TenantDatabase$CharacterSetName' => 'The character set of the tenant database.
', 'TenantDatabase$NcharCharacterSetName' => 'The NCHAR character set name of the tenant database.
The name of the tenant database.
', 'TenantDatabasesMessage$Marker' => 'An optional pagination token provided by a previous DescribeTenantDatabases request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
The name of the time zone.
', 'UpgradeTarget$Engine' => 'The name of the upgrade target database engine.
', 'UpgradeTarget$EngineVersion' => 'The version number of the upgrade target database engine.
', 'UpgradeTarget$Description' => 'The version of the database engine that a DB instance can be upgraded to.
', 'UserAuthConfig$Description' => 'A user-specified description about the authentication used by a proxy to log in as a specific database user.
', 'UserAuthConfig$UserName' => 'The name of the database user to which the proxy connects.
', 'UserAuthConfig$SecretArn' => 'The Amazon Resource Name (ARN) representing the secret that the proxy uses to authenticate to the RDS DB instance or Aurora DB cluster. These secrets are stored within Amazon Secrets Manager.
', 'UserAuthConfigInfo$Description' => 'A user-specified description about the authentication used by a proxy to log in as a specific database user.
', 'UserAuthConfigInfo$UserName' => 'The name of the database user to which the proxy connects.
', 'UserAuthConfigInfo$SecretArn' => 'The Amazon Resource Name (ARN) representing the secret that the proxy uses to authenticate to the RDS DB instance or Aurora DB cluster. These secrets are stored within Amazon Secrets Manager.
', 'ValidStorageOptions$StorageType' => 'The valid storage types for your DB instance. For example: gp2, gp3, io1, io2.
', 'VpcSecurityGroupIdList$member' => NULL, 'VpcSecurityGroupMembership$VpcSecurityGroupId' => 'The name of the VPC security group.
', 'VpcSecurityGroupMembership$Status' => 'The membership status of the VPC security group.
Currently, the only valid status is active.
The Amazon S3 directory that contains the database installation files for your CEV. For example, a valid bucket name is 123456789012/cev1. If this setting isn\'t specified, no prefix is assumed.
The ID of the Amazon Machine Image (AMI). For RDS Custom for SQL Server, an AMI ID is required to create a CEV. For RDS Custom for Oracle, the default is the most recent AMI available, but you can specify an AMI ID that was used in a different Oracle CEV. Find the AMIs used by your CEVs by calling the DescribeDBEngineVersions operation.
', 'CreateCustomDBEngineVersionMessage$SourceCustomDbEngineVersionIdentifier' => 'The ARN of a CEV to use as a source for creating a new CEV. You can specify a different Amazon Machine Imagine (AMI) by using either Source or UseAwsProvidedLatestImage. You can\'t specify a different JSON manifest when you specify SourceCustomDbEngineVersionIdentifier.
Each item in the list represents a class of SQL operations that normally cause all later statements in a session using a proxy to be pinned to the same underlying database connection. Including an item in the list exempts that class of SQL operations from the pinning behavior.
Default: no session pinning filters
', 'ConnectionPoolConfigurationInfo$SessionPinningFilters' => 'Each item in the list represents a class of SQL operations that normally cause all later statements in a session using a proxy to be pinned to the same underlying database connection. Including an item in the list exempts that class of SQL operations from the pinning behavior. This setting is only supported for MySQL engine family databases. Currently, the only allowed value is EXCLUDE_VARIABLE_SETS.
List of DB instance identifiers that are part of the custom endpoint group.
', 'CreateDBClusterEndpointMessage$ExcludedMembers' => 'List of DB instance identifiers that aren\'t part of the custom endpoint group. All other eligible instances are reachable through the custom endpoint. This parameter is relevant only if the list of static members is empty.
', 'CreateDBInstanceMessage$DomainDnsIps' => 'The IPv4 DNS IP addresses of your primary and secondary Active Directory domain controllers.
Constraints:
Two IP addresses must be provided. If there isn\'t a secondary domain controller, use the IP address of the primary domain controller for both entries in the list.
Example: 123.124.125.126,234.235.236.237
The IPv4 DNS IP addresses of your primary and secondary Active Directory domain controllers.
Constraints:
Two IP addresses must be provided. If there isn\'t a secondary domain controller, use the IP address of the primary domain controller for both entries in the list.
Example: 123.124.125.126,234.235.236.237
The VPC subnet IDs for the DB proxy endpoint that you create. You can specify a different set of subnet IDs than for the original DB proxy.
', 'CreateDBProxyEndpointRequest$VpcSecurityGroupIds' => 'The VPC security group IDs for the DB proxy endpoint that you create. You can specify a different set of security group IDs than for the original DB proxy. The default is the default security group for the VPC.
', 'CreateDBProxyRequest$VpcSubnetIds' => 'One or more VPC subnet IDs to associate with the new proxy.
', 'CreateDBProxyRequest$VpcSecurityGroupIds' => 'One or more VPC security group IDs to associate with the new proxy.
', 'DBCluster$CustomEndpoints' => 'The custom endpoints associated with the DB cluster.
', 'DBClusterEndpoint$StaticMembers' => 'List of DB instance identifiers that are part of the custom endpoint group.
', 'DBClusterEndpoint$ExcludedMembers' => 'List of DB instance identifiers that aren\'t part of the custom endpoint group. All other eligible instances are reachable through the custom endpoint. Only relevant if the list of static members is empty.
', 'DBProxy$VpcSecurityGroupIds' => 'Provides a list of VPC security groups that the proxy belongs to.
', 'DBProxy$VpcSubnetIds' => 'The EC2 subnet IDs for the proxy.
', 'DBProxyEndpoint$VpcSecurityGroupIds' => 'Provides a list of VPC security groups that the DB proxy endpoint belongs to.
', 'DBProxyEndpoint$VpcSubnetIds' => 'The EC2 subnet IDs for the DB proxy endpoint.
', 'DBSubnetGroup$SupportedNetworkTypes' => 'The network type of the DB subnet group.
Valid values:
IPV4
DUAL
A DBSubnetGroup can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
', 'DeregisterDBProxyTargetsRequest$DBInstanceIdentifiers' => 'One or more DB instance identifiers.
', 'DeregisterDBProxyTargetsRequest$DBClusterIdentifiers' => 'One or more DB cluster identifiers.
', 'DomainMembership$DnsIps' => 'The IPv4 DNS IP addresses of the primary and secondary Active Directory domain controllers.
', 'ExportTask$ExportOnly' => 'The data exported from the snapshot or cluster.
Valid Values:
database - Export all the data from a specified database.
database.table table-name - Export a table of the snapshot or cluster. This format is valid only for RDS for MySQL, RDS for MariaDB, and Aurora MySQL.
database.schema schema-name - Export a database schema of the snapshot or cluster. This format is valid only for RDS for PostgreSQL and Aurora PostgreSQL.
database.schema.table table-name - Export a table of the database schema. This format is valid only for RDS for PostgreSQL and Aurora PostgreSQL.
List of DB instance identifiers that are part of the custom endpoint group.
', 'ModifyDBClusterEndpointMessage$ExcludedMembers' => 'List of DB instance identifiers that aren\'t part of the custom endpoint group. All other eligible instances are reachable through the custom endpoint. Only relevant if the list of static members is empty.
', 'ModifyDBInstanceMessage$DomainDnsIps' => 'The IPv4 DNS IP addresses of your primary and secondary Active Directory domain controllers.
Constraints:
Two IP addresses must be provided. If there isn\'t a secondary domain controller, use the IP address of the primary domain controller for both entries in the list.
Example: 123.124.125.126,234.235.236.237
The VPC security group IDs for the DB proxy endpoint. When the DB proxy endpoint uses a different VPC than the original proxy, you also specify a different set of security group IDs than for the original proxy.
', 'ModifyDBProxyRequest$SecurityGroups' => 'The new list of security groups for the DBProxy.
The network types supported by the DB instance (IPV4 or DUAL).
A DB instance can support only the IPv4 protocol or the IPv4 and the IPv6 protocols (DUAL).
For more information, see Working with a DB instance in a VPC in the Amazon RDS User Guide.
', 'PerformanceInsightsMetricDimensionGroup$Dimensions' => 'A list of specific dimensions from a dimension group. If this list isn\'t included, then all of the dimensions in the group were requested, or are present in the response.
', 'RecommendedAction$ApplyModes' => 'The methods to apply the recommended action.
Valid values:
manual - The action requires you to resolve the recommendation manually.
immediately - The action is applied immediately.
next-maintainance-window - The action is applied during the next scheduled maintainance.
One or more DB instance identifiers.
', 'RegisterDBProxyTargetsRequest$DBClusterIdentifiers' => 'One or more DB cluster identifiers.
', 'RestoreDBInstanceFromDBSnapshotMessage$DomainDnsIps' => 'The IPv4 DNS IP addresses of your primary and secondary Active Directory domain controllers.
Constraints:
Two IP addresses must be provided. If there isn\'t a secondary domain controller, use the IP address of the primary domain controller for both entries in the list.
Example: 123.124.125.126,234.235.236.237
The IPv4 DNS IP addresses of your primary and secondary Active Directory domain controllers.
Constraints:
Two IP addresses must be provided. If there isn\'t a secondary domain controller, use the IP address of the primary domain controller for both entries in the list.
Example: 123.124.125.126,234.235.236.237
The data to be exported from the snapshot or cluster. If this parameter isn\'t provided, all of the data is exported.
Valid Values:
database - Export all the data from a specified database.
database.table table-name - Export a table of the snapshot or cluster. This format is valid only for RDS for MySQL, RDS for MariaDB, and Aurora MySQL.
database.schema schema-name - Export a database schema of the snapshot or cluster. This format is valid only for RDS for PostgreSQL and Aurora PostgreSQL.
database.schema.table table-name - Export a table of the database schema. This format is valid only for RDS for PostgreSQL and Aurora PostgreSQL.
This data type is used as a response element for the DescribeDBSubnetGroups operation.
The DB subnet is already in use in the Availability Zone.
', 'refs' => [], ], 'SubnetIdentifierList' => [ 'base' => NULL, 'refs' => [ 'CreateDBSubnetGroupMessage$SubnetIds' => 'The EC2 Subnet IDs for the DB subnet group.
', 'ModifyDBSubnetGroupMessage$SubnetIds' => 'The EC2 subnet IDs for the DB subnet group.
', ], ], 'SubnetList' => [ 'base' => NULL, 'refs' => [ 'DBSubnetGroup$Subnets' => 'Contains a list of Subnet elements.
The supplied subscription name already exists.
', 'refs' => [], ], 'SubscriptionCategoryNotFoundFault' => [ 'base' => 'The supplied category does not exist.
', 'refs' => [], ], 'SubscriptionNotFoundFault' => [ 'base' => 'The subscription name does not exist.
', 'refs' => [], ], 'SupportedCharacterSetsList' => [ 'base' => NULL, 'refs' => [ 'DBEngineVersion$SupportedCharacterSets' => 'A list of the character sets supported by this engine for the CharacterSetName parameter of the CreateDBInstance operation.
A list of the character sets supported by the Oracle DB engine for the NcharCharacterSetName parameter of the CreateDBInstance operation.
A list of the time zones supported by this engine for the Timezone parameter of the CreateDBInstance action.
Contains the details about a blue/green deployment.
For more information, see Using Amazon RDS Blue/Green Deployments for database updates in the Amazon RDS User Guide and Using Amazon RDS Blue/Green Deployments for database updates in the Amazon Aurora User Guide.
', 'refs' => [ 'SwitchoverDetailList$member' => NULL, ], ], 'SwitchoverDetailList' => [ 'base' => NULL, 'refs' => [ 'BlueGreenDeployment$SwitchoverDetails' => 'The details about each source and target resource in the blue/green deployment.
', ], ], 'SwitchoverDetailStatus' => [ 'base' => NULL, 'refs' => [ 'SwitchoverDetail$Status' => 'The switchover status of a resource in a blue/green deployment.
Values:
PROVISIONING - The resource is being prepared to switch over.
AVAILABLE - The resource is ready to switch over.
SWITCHOVER_IN_PROGRESS - The resource is being switched over.
SWITCHOVER_COMPLETED - The resource has been switched over.
SWITCHOVER_FAILED - The resource attempted to switch over but failed.
MISSING_SOURCE - The source resource has been deleted.
MISSING_TARGET - The target resource has been deleted.
The amount of time, in seconds, for the switchover to complete.
Default: 300
If the switchover takes longer than the specified duration, then any changes are rolled back, and no changes are made to the environments.
', ], ], 'TStamp' => [ 'base' => NULL, 'refs' => [ 'BacktrackDBClusterMessage$BacktrackTo' => 'The timestamp of the time to backtrack the DB cluster to, specified in ISO 8601 format. For more information about ISO 8601, see the ISO8601 Wikipedia page.
If the specified time isn\'t a consistent time for the DB cluster, Aurora automatically chooses the nearest possible consistent time for the DB cluster.
Constraints:
Must contain a valid ISO 8601 timestamp.
Can\'t contain a timestamp set in the future.
Example: 2017-07-08T18:00Z
The time when the blue/green deployment was created, in Universal Coordinated Time (UTC).
', 'BlueGreenDeployment$DeleteTime' => 'The time when the blue/green deployment was deleted, in Universal Coordinated Time (UTC).
', 'Certificate$ValidFrom' => 'The starting date from which the certificate is valid.
', 'Certificate$ValidTill' => 'The final date that the certificate continues to be valid.
', 'Certificate$CustomerOverrideValidTill' => 'If there is an override for the default certificate identifier, when the override expires.
', 'CertificateDetails$ValidTill' => 'The expiration date of the DB instance’s server certificate.
', 'DBCluster$AutomaticRestartTime' => 'The time when a stopped DB cluster is restarted automatically.
', 'DBCluster$EarliestRestorableTime' => 'The earliest time to which a database can be restored with point-in-time restore.
', 'DBCluster$LatestRestorableTime' => 'The latest time to which a database can be restored with point-in-time restore.
', 'DBCluster$ClusterCreateTime' => 'The time when the DB cluster was created, in Universal Coordinated Time (UTC).
', 'DBCluster$EarliestBacktrackTime' => 'The earliest time to which a DB cluster can be backtracked.
', 'DBCluster$IOOptimizedNextAllowedModificationTime' => 'The next time you can modify the DB cluster to use the aurora-iopt1 storage type.
This setting is only for Aurora DB clusters.
', 'DBClusterAutomatedBackup$ClusterCreateTime' => 'The time when the DB cluster was created, in Universal Coordinated Time (UTC).
', 'DBClusterBacktrack$BacktrackTo' => 'The timestamp of the time to which the DB cluster was backtracked.
', 'DBClusterBacktrack$BacktrackedFrom' => 'The timestamp of the time from which the DB cluster was backtracked.
', 'DBClusterBacktrack$BacktrackRequestCreationTime' => 'The timestamp of the time at which the backtrack was requested.
', 'DBClusterSnapshot$SnapshotCreateTime' => 'The time when the snapshot was taken, in Universal Coordinated Time (UTC).
', 'DBClusterSnapshot$ClusterCreateTime' => 'The time when the DB cluster was created, in Universal Coordinated Time (UTC).
', 'DBEngineVersion$CreateTime' => 'The creation time of the DB engine version.
', 'DBInstance$AutomaticRestartTime' => 'The time when a stopped DB instance is restarted automatically.
', 'DBInstance$InstanceCreateTime' => 'The date and time when the DB instance was created.
', 'DBInstance$LatestRestorableTime' => 'The latest time to which a database in this DB instance can be restored with point-in-time restore.
', 'DBInstance$ResumeFullAutomationModeTime' => 'The number of minutes to pause the automation. When the time period ends, RDS Custom resumes full automation. The minimum value is 60 (default). The maximum value is 1,440.
', 'DBInstanceAutomatedBackup$InstanceCreateTime' => 'The date and time when the DB instance was created.
', 'DBProxy$CreatedDate' => 'The date and time when the proxy was first created.
', 'DBProxy$UpdatedDate' => 'The date and time when the proxy was last updated.
', 'DBProxyEndpoint$CreatedDate' => 'The date and time when the DB proxy endpoint was first created.
', 'DBProxyTargetGroup$CreatedDate' => 'The date and time when the target group was first created.
', 'DBProxyTargetGroup$UpdatedDate' => 'The date and time when the target group was last updated.
', 'DBRecommendation$CreatedTime' => 'The time when the recommendation was created. For example, 2023-09-28T01:13:53.931000+00:00.
The time when the recommendation was last updated.
', 'DBSnapshot$SnapshotCreateTime' => 'Specifies when the snapshot was taken in Coordinated Universal Time (UTC). Changes for the copy when the snapshot is copied.
', 'DBSnapshot$InstanceCreateTime' => 'Specifies the time in Coordinated Universal Time (UTC) when the DB instance, from which the snapshot was taken, was created.
', 'DBSnapshot$OriginalSnapshotCreateTime' => 'Specifies the time of the CreateDBSnapshot operation in Coordinated Universal Time (UTC). Doesn\'t change when the snapshot is copied.
', 'DBSnapshot$SnapshotDatabaseTime' => 'The timestamp of the most recent transaction applied to the database that you\'re backing up. Thus, if you restore a snapshot, SnapshotDatabaseTime is the most recent transaction in the restored DB instance. In contrast, originalSnapshotCreateTime specifies the system time that the snapshot completed.
If you back up a read replica, you can determine the replica lag by comparing SnapshotDatabaseTime with originalSnapshotCreateTime. For example, if originalSnapshotCreateTime is two hours later than SnapshotDatabaseTime, then the replica lag is two hours.
', 'DBSnapshotTenantDatabase$TenantDatabaseCreateTime' => 'The time the DB snapshot was taken, specified in Coordinated Universal Time (UTC). If you copy the snapshot, the creation time changes.
', 'DescribeDBRecommendationsMessage$LastUpdatedAfter' => 'A filter to include only the recommendations that were updated after this specified time.
', 'DescribeDBRecommendationsMessage$LastUpdatedBefore' => 'A filter to include only the recommendations that were updated before this specified time.
', 'DescribeEventsMessage$StartTime' => 'The beginning of the time interval to retrieve events for, specified in ISO 8601 format. For more information about ISO 8601, go to the ISO8601 Wikipedia page.
Example: 2009-07-08T18:00Z
', 'DescribeEventsMessage$EndTime' => 'The end of the time interval for which to retrieve events, specified in ISO 8601 format. For more information about ISO 8601, go to the ISO8601 Wikipedia page.
Example: 2009-07-08T18:00Z
', 'Event$Date' => 'Specifies the date and time of the event.
', 'ExportTask$SnapshotTime' => 'The time when the snapshot was created.
', 'ExportTask$TaskStartTime' => 'The time when the snapshot or cluster export task started.
', 'ExportTask$TaskEndTime' => 'The time when the snapshot or cluster export task ended.
', 'Integration$CreateTime' => 'The time when the integration was created, in Universal Coordinated Time (UTC).
', 'OptionGroup$CopyTimestamp' => 'Indicates when the option group was copied.
', 'PendingMaintenanceAction$AutoAppliedAfterDate' => 'The date of the maintenance window when the action is applied. The maintenance action is applied to the resource during its first maintenance window after this date.
', 'PendingMaintenanceAction$ForcedApplyDate' => 'The date when the maintenance action is automatically applied.
On this date, the maintenance action is applied to the resource as soon as possible, regardless of the maintenance window for the resource. There might be a delay of one or more days from this date before the maintenance action is applied.
', 'PendingMaintenanceAction$CurrentApplyDate' => 'The effective date when the pending maintenance action is applied to the resource. This date takes into account opt-in requests received from the ApplyPendingMaintenanceAction API, the AutoAppliedAfterDate, and the ForcedApplyDate. This value is blank if an opt-in request has not been received and nothing has been specified as AutoAppliedAfterDate or ForcedApplyDate.
The number of minutes to pause the automation. When the time period ends, RDS Custom resumes full automation. The minimum value is 60 (default). The maximum value is 1,440.
', 'PerformanceIssueDetails$StartTime' => 'The time when the performance issue started.
', 'PerformanceIssueDetails$EndTime' => 'The time when the performance issue stopped.
', 'ReservedDBInstance$StartTime' => 'The time the reservation started.
', 'RestoreDBClusterToPointInTimeMessage$RestoreToTime' => 'The date and time to restore the DB cluster to.
Valid Values: Value must be a time in Universal Coordinated Time (UTC) format
Constraints:
Must be before the latest restorable time for the DB instance
Must be specified if UseLatestRestorableTime parameter isn\'t provided
Can\'t be specified if the UseLatestRestorableTime parameter is enabled
Can\'t be specified if the RestoreType parameter is copy-on-write
Example: 2015-03-07T23:45:00Z
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBInstanceToPointInTimeMessage$RestoreTime' => 'The date and time to restore from.
Constraints:
Must be a time in Universal Coordinated Time (UTC) format.
Must be before the latest restorable time for the DB instance.
Can\'t be specified if the UseLatestRestorableTime parameter is enabled.
Example: 2009-09-07T23:45:00Z
The earliest time you can restore an instance to.
', 'RestoreWindow$LatestTime' => 'The latest time you can restore an instance to.
', 'TenantDatabase$TenantDatabaseCreateTime' => 'The creation time of the tenant database.
', ], ], 'Tag' => [ 'base' => 'Metadata assigned to an Amazon RDS resource consisting of a key-value pair.
For more information, see Tagging Amazon RDS resources in the Amazon RDS User Guide or Tagging Amazon Aurora and Amazon RDS resources in the Amazon Aurora User Guide.
', 'refs' => [ 'TagList$member' => NULL, ], ], 'TagList' => [ 'base' => 'A list of tags.
For more information, see Tagging Amazon RDS resources in the Amazon RDS User Guide or Tagging Amazon Aurora and Amazon RDS resources in the Amazon Aurora User Guide.
', 'refs' => [ 'AddTagsToResourceMessage$Tags' => 'The tags to be assigned to the Amazon RDS resource.
', 'BlueGreenDeployment$TagList' => NULL, 'CopyDBClusterParameterGroupMessage$Tags' => NULL, 'CopyDBClusterSnapshotMessage$Tags' => NULL, 'CopyDBParameterGroupMessage$Tags' => NULL, 'CopyDBSnapshotMessage$Tags' => NULL, 'CopyOptionGroupMessage$Tags' => NULL, 'CreateBlueGreenDeploymentRequest$Tags' => 'Tags to assign to the blue/green deployment.
', 'CreateCustomDBEngineVersionMessage$Tags' => NULL, 'CreateDBClusterEndpointMessage$Tags' => 'The tags to be assigned to the Amazon RDS resource.
', 'CreateDBClusterMessage$Tags' => 'Tags to assign to the DB cluster.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBClusterParameterGroupMessage$Tags' => 'Tags to assign to the DB cluster parameter group.
', 'CreateDBClusterSnapshotMessage$Tags' => 'The tags to be assigned to the DB cluster snapshot.
', 'CreateDBInstanceMessage$Tags' => 'Tags to assign to the DB instance.
', 'CreateDBInstanceReadReplicaMessage$Tags' => NULL, 'CreateDBParameterGroupMessage$Tags' => 'Tags to assign to the DB parameter group.
', 'CreateDBProxyEndpointRequest$Tags' => NULL, 'CreateDBProxyRequest$Tags' => 'An optional set of key-value pairs to associate arbitrary data of your choosing with the proxy.
', 'CreateDBSecurityGroupMessage$Tags' => 'Tags to assign to the DB security group.
', 'CreateDBShardGroupMessage$Tags' => NULL, 'CreateDBSnapshotMessage$Tags' => NULL, 'CreateDBSubnetGroupMessage$Tags' => 'Tags to assign to the DB subnet group.
', 'CreateEventSubscriptionMessage$Tags' => NULL, 'CreateGlobalClusterMessage$Tags' => 'Tags to assign to the global cluster.
', 'CreateIntegrationMessage$Tags' => NULL, 'CreateOptionGroupMessage$Tags' => 'Tags to assign to the option group.
', 'CreateTenantDatabaseMessage$Tags' => NULL, 'DBCluster$TagList' => NULL, 'DBClusterSnapshot$TagList' => NULL, 'DBEngineVersion$TagList' => NULL, 'DBInstance$TagList' => NULL, 'DBShardGroup$TagList' => NULL, 'DBSnapshot$TagList' => NULL, 'DBSnapshotTenantDatabase$TagList' => NULL, 'GlobalCluster$TagList' => NULL, 'Integration$Tags' => NULL, 'PurchaseReservedDBInstancesOfferingMessage$Tags' => NULL, 'RestoreDBClusterFromS3Message$Tags' => NULL, 'RestoreDBClusterFromSnapshotMessage$Tags' => 'The tags to be assigned to the restored DB cluster.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$Tags' => NULL, 'RestoreDBInstanceFromDBSnapshotMessage$Tags' => NULL, 'RestoreDBInstanceFromS3Message$Tags' => 'A list of tags to associate with this DB instance. For more information, see Tagging Amazon RDS Resources in the Amazon RDS User Guide.
', 'RestoreDBInstanceToPointInTimeMessage$Tags' => NULL, 'TagListMessage$TagList' => 'List of tags returned by the ListTagsForResource operation.
The DB cluster parameter group associated with the Aurora DB cluster in the green environment.
To test parameter changes, specify a DB cluster parameter group that is different from the one associated with the source DB cluster.
', ], ], 'TargetDBInstanceClass' => [ 'base' => NULL, 'refs' => [ 'CreateBlueGreenDeploymentRequest$TargetDBInstanceClass' => 'Specify the DB instance class for the databases in the green environment.
This parameter only applies to RDS DB instances, because DB instances within an Aurora DB cluster can have multiple different instance classes. If you\'re creating a blue/green deployment from an Aurora DB cluster, don\'t specify this parameter. After the green environment is created, you can individually modify the instance classes of the DB instances within the green DB cluster.
', ], ], 'TargetDBParameterGroupName' => [ 'base' => NULL, 'refs' => [ 'CreateBlueGreenDeploymentRequest$TargetDBParameterGroupName' => 'The DB parameter group associated with the DB instance in the green environment.
To test parameter changes, specify a DB parameter group that is different from the one associated with the source DB instance.
', ], ], 'TargetEngineVersion' => [ 'base' => NULL, 'refs' => [ 'CreateBlueGreenDeploymentRequest$TargetEngineVersion' => 'The engine version of the database in the green environment.
Specify the engine version to upgrade to in the green environment.
', ], ], 'TargetGroupList' => [ 'base' => NULL, 'refs' => [ 'DescribeDBProxyTargetGroupsResponse$TargetGroups' => 'An arbitrary number of DBProxyTargetGroup objects, containing details of the corresponding target groups.
Information about the connection health of an RDS Proxy target.
', 'refs' => [ 'DBProxyTarget$TargetHealth' => 'Information about the connection health of the RDS Proxy target.
', ], ], 'TargetHealthReason' => [ 'base' => NULL, 'refs' => [ 'TargetHealth$Reason' => 'The reason for the current health State of the RDS Proxy target.
An arbitrary number of DBProxyTarget objects, containing details of the corresponding targets.
One or more DBProxyTarget objects that are created when you register targets with a target group.
A value that indicates whether the target of the proxy can be used for read/write or read-only operations.
', ], ], 'TargetState' => [ 'base' => NULL, 'refs' => [ 'TargetHealth$State' => 'The current state of the connection health lifecycle for the RDS Proxy target. The following is a typical lifecycle example for the states of an RDS Proxy target:
registering > unavailable > available > unavailable > available
The storage type to associate with the green DB instance.
Valid Values: gp2 | gp3 | io1 | io2
This setting doesn\'t apply to Amazon Aurora blue/green deployments.
', ], ], 'TargetType' => [ 'base' => NULL, 'refs' => [ 'DBProxyTarget$Type' => 'Specifies the kind of database, such as an RDS DB instance or an Aurora DB cluster, that the target represents.
', ], ], 'TenantDatabase' => [ 'base' => 'A tenant database in the DB instance. This data type is an element in the response to the DescribeTenantDatabases action.
You attempted to either create a tenant database that already exists or modify a tenant database to use the name of an existing tenant database.
', 'refs' => [], ], 'TenantDatabaseNotFoundFault' => [ 'base' => 'The specified tenant database wasn\'t found in the DB instance.
', 'refs' => [], ], 'TenantDatabasePendingModifiedValues' => [ 'base' => 'A response element in the ModifyTenantDatabase operation that describes changes that will be applied. Specific changes are identified by subelements.
Information about pending changes for a tenant database.
', ], ], 'TenantDatabaseQuotaExceededFault' => [ 'base' => 'You attempted to create more tenant databases than are permitted in your Amazon Web Services account.
', 'refs' => [], ], 'TenantDatabasesList' => [ 'base' => NULL, 'refs' => [ 'TenantDatabasesMessage$TenantDatabases' => 'An array of the tenant databases requested by the DescribeTenantDatabases operation.
A time zone associated with a DBInstance or a DBSnapshot. This data type is an element in the response to the DescribeDBInstances, the DescribeDBSnapshots, and the DescribeDBEngineVersions actions.
The specified DB engine version isn\'t supported for Aurora Limitless Database.
', 'refs' => [], ], 'UpgradeTarget' => [ 'base' => 'The version of the database engine that a DB instance can be upgraded to.
', 'refs' => [ 'ValidUpgradeTargetList$member' => NULL, ], ], 'UserAuthConfig' => [ 'base' => 'Specifies the details of authentication used by a proxy to log in as a specific database user.
', 'refs' => [ 'UserAuthConfigList$member' => NULL, ], ], 'UserAuthConfigInfo' => [ 'base' => 'Returns the details of authentication used by a proxy to log in as a specific database user.
', 'refs' => [ 'UserAuthConfigInfoList$member' => NULL, ], ], 'UserAuthConfigInfoList' => [ 'base' => NULL, 'refs' => [ 'DBProxy$Auth' => 'One or more data structures specifying the authorization mechanism to connect to the associated RDS DB instance or Aurora DB cluster.
', ], ], 'UserAuthConfigList' => [ 'base' => NULL, 'refs' => [ 'CreateDBProxyRequest$Auth' => 'The authorization mechanism that the proxy uses.
', 'ModifyDBProxyRequest$Auth' => 'The new authentication settings for the DBProxy.
Information about valid modifications that you can make to your DB instance. Contains the result of a successful call to the DescribeValidDBInstanceModifications action. You can use this information when you call ModifyDBInstance.
Information about valid modifications that you can make to your DB instance. Contains the result of a successful call to the DescribeValidDBInstanceModifications action.
Valid storage options for your DB instance.
', ], ], 'ValidUpgradeTargetList' => [ 'base' => NULL, 'refs' => [ 'DBEngineVersion$ValidUpgradeTarget' => 'A list of engine versions that this database engine version can be upgraded to.
', ], ], 'VpcSecurityGroupIdList' => [ 'base' => NULL, 'refs' => [ 'CreateDBClusterMessage$VpcSecurityGroupIds' => 'A list of EC2 VPC security groups to associate with this DB cluster.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'CreateDBInstanceMessage$VpcSecurityGroupIds' => 'A list of Amazon EC2 VPC security groups to associate with this DB instance.
This setting doesn\'t apply to Amazon Aurora DB instances. The associated list of EC2 VPC security groups is managed by the DB cluster.
Default: The default EC2 VPC security group for the DB subnet group\'s VPC.
', 'CreateDBInstanceReadReplicaMessage$VpcSecurityGroupIds' => 'A list of Amazon EC2 VPC security groups to associate with the read replica.
This setting doesn\'t apply to RDS Custom DB instances.
Default: The default EC2 VPC security group for the DB subnet group\'s VPC.
', 'ModifyDBClusterMessage$VpcSecurityGroupIds' => 'A list of EC2 VPC security groups to associate with this DB cluster.
Valid for Cluster Type: Aurora DB clusters and Multi-AZ DB clusters
', 'ModifyDBInstanceMessage$VpcSecurityGroupIds' => 'A list of Amazon EC2 VPC security groups to associate with this DB instance. This change is asynchronously applied as soon as possible.
This setting doesn\'t apply to the following DB instances:
Amazon Aurora (The associated list of EC2 VPC security groups is managed by the DB cluster. For more information, see ModifyDBCluster.)
RDS Custom
Constraints:
If supplied, must match existing VPC security group IDs.
A list of VPC security group names used for this option.
', 'RestoreDBClusterFromS3Message$VpcSecurityGroupIds' => 'A list of EC2 VPC security groups to associate with the restored DB cluster.
', 'RestoreDBClusterFromSnapshotMessage$VpcSecurityGroupIds' => 'A list of VPC security groups that the new DB cluster will belong to.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBClusterToPointInTimeMessage$VpcSecurityGroupIds' => 'A list of VPC security groups that the new DB cluster belongs to.
Valid for: Aurora DB clusters and Multi-AZ DB clusters
', 'RestoreDBInstanceFromDBSnapshotMessage$VpcSecurityGroupIds' => 'A list of EC2 VPC security groups to associate with this DB instance.
Default: The default EC2 VPC security group for the DB subnet group\'s VPC.
', 'RestoreDBInstanceFromS3Message$VpcSecurityGroupIds' => 'A list of VPC security groups to associate with this DB instance.
', 'RestoreDBInstanceToPointInTimeMessage$VpcSecurityGroupIds' => 'A list of EC2 VPC security groups to associate with this DB instance.
Default: The default EC2 VPC security group for the DB subnet group\'s VPC.
', ], ], 'VpcSecurityGroupMembership' => [ 'base' => 'This data type is used as a response element for queries on VPC security group membership.
', 'refs' => [ 'VpcSecurityGroupMembershipList$member' => NULL, ], ], 'VpcSecurityGroupMembershipList' => [ 'base' => NULL, 'refs' => [ 'DBCluster$VpcSecurityGroups' => 'The list of VPC security groups that the DB cluster belongs to.
', 'DBInstance$VpcSecurityGroups' => 'The list of Amazon EC2 VPC security groups that the DB instance belongs to.
', 'Option$VpcSecurityGroupMemberships' => 'If the option requires access to a port, then this VPC security group allows access to the port.
', ], ], 'WriteForwardingStatus' => [ 'base' => NULL, 'refs' => [ 'DBCluster$GlobalWriteForwardingStatus' => 'The status of write forwarding for a secondary cluster in an Aurora global database.
', 'GlobalClusterMember$GlobalWriteForwardingStatus' => 'The status of write forwarding for a secondary cluster in the global cluster.
', ], ], ],]; diff --git a/src/data/route53/2013-04-01/api-2.json b/src/data/route53/2013-04-01/api-2.json index 92dc157b43..d82bafbf52 100644 --- a/src/data/route53/2013-04-01/api-2.json +++ b/src/data/route53/2013-04-01/api-2.json @@ -1566,7 +1566,8 @@ "ap-southeast-4", "il-central-1", "ca-west-1", - "ap-southeast-5" + "ap-southeast-5", + "ap-southeast-7" ], "max":64, "min":1 @@ -4218,7 +4219,8 @@ "ap-southeast-4", "il-central-1", "ca-west-1", - "ap-southeast-5" + "ap-southeast-5", + "ap-southeast-7" ], "max":64, "min":1 @@ -4841,7 +4843,8 @@ "ap-southeast-4", "il-central-1", "ca-west-1", - "ap-southeast-5" + "ap-southeast-5", + "ap-southeast-7" ], "max":64, "min":1 diff --git a/src/data/route53/2013-04-01/api-2.json.php b/src/data/route53/2013-04-01/api-2.json.php index a47362918f..23c46e7713 100644 --- a/src/data/route53/2013-04-01/api-2.json.php +++ b/src/data/route53/2013-04-01/api-2.json.php @@ -1,3 +1,3 @@ '2.0', 'metadata' => [ 'apiVersion' => '2013-04-01', 'endpointPrefix' => 'route53', 'globalEndpoint' => 'route53.amazonaws.com', 'protocol' => 'rest-xml', 'protocols' => [ 'rest-xml', ], 'serviceAbbreviation' => 'Route 53', 'serviceFullName' => 'Amazon Route 53', 'serviceId' => 'Route 53', 'signatureVersion' => 'v4', 'uid' => 'route53-2013-04-01', 'auth' => [ 'aws.auth#sigv4', ], ], 'operations' => [ 'ActivateKeySigningKey' => [ 'name' => 'ActivateKeySigningKey', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/keysigningkey/{HostedZoneId}/{Name}/activate', ], 'input' => [ 'shape' => 'ActivateKeySigningKeyRequest', ], 'output' => [ 'shape' => 'ActivateKeySigningKeyResponse', ], 'errors' => [ [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'NoSuchKeySigningKey', ], [ 'shape' => 'InvalidKeySigningKeyStatus', ], [ 'shape' => 'InvalidSigningStatus', ], [ 'shape' => 'InvalidKMSArn', ], [ 'shape' => 'InvalidInput', ], ], ], 'AssociateVPCWithHostedZone' => [ 'name' => 'AssociateVPCWithHostedZone', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone/{Id}/associatevpc', ], 'input' => [ 'shape' => 'AssociateVPCWithHostedZoneRequest', 'locationName' => 'AssociateVPCWithHostedZoneRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'AssociateVPCWithHostedZoneResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'NotAuthorizedException', ], [ 'shape' => 'InvalidVPCId', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'PublicZoneVPCAssociation', ], [ 'shape' => 'ConflictingDomainExists', ], [ 'shape' => 'LimitsExceeded', ], [ 'shape' => 'PriorRequestNotComplete', ], ], ], 'ChangeCidrCollection' => [ 'name' => 'ChangeCidrCollection', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/cidrcollection/{CidrCollectionId}', ], 'input' => [ 'shape' => 'ChangeCidrCollectionRequest', 'locationName' => 'ChangeCidrCollectionRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'ChangeCidrCollectionResponse', ], 'errors' => [ [ 'shape' => 'NoSuchCidrCollectionException', ], [ 'shape' => 'CidrCollectionVersionMismatchException', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'CidrBlockInUseException', ], [ 'shape' => 'LimitsExceeded', ], [ 'shape' => 'ConcurrentModification', ], ], ], 'ChangeResourceRecordSets' => [ 'name' => 'ChangeResourceRecordSets', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone/{Id}/rrset/', ], 'input' => [ 'shape' => 'ChangeResourceRecordSetsRequest', 'locationName' => 'ChangeResourceRecordSetsRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'ChangeResourceRecordSetsResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'InvalidChangeBatch', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'PriorRequestNotComplete', ], ], ], 'ChangeTagsForResource' => [ 'name' => 'ChangeTagsForResource', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/tags/{ResourceType}/{ResourceId}', ], 'input' => [ 'shape' => 'ChangeTagsForResourceRequest', 'locationName' => 'ChangeTagsForResourceRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'ChangeTagsForResourceResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'PriorRequestNotComplete', ], [ 'shape' => 'ThrottlingException', ], ], ], 'CreateCidrCollection' => [ 'name' => 'CreateCidrCollection', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/cidrcollection', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateCidrCollectionRequest', 'locationName' => 'CreateCidrCollectionRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateCidrCollectionResponse', ], 'errors' => [ [ 'shape' => 'LimitsExceeded', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'CidrCollectionAlreadyExistsException', ], [ 'shape' => 'ConcurrentModification', ], ], ], 'CreateHealthCheck' => [ 'name' => 'CreateHealthCheck', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/healthcheck', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateHealthCheckRequest', 'locationName' => 'CreateHealthCheckRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateHealthCheckResponse', ], 'errors' => [ [ 'shape' => 'TooManyHealthChecks', ], [ 'shape' => 'HealthCheckAlreadyExists', ], [ 'shape' => 'InvalidInput', ], ], ], 'CreateHostedZone' => [ 'name' => 'CreateHostedZone', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateHostedZoneRequest', 'locationName' => 'CreateHostedZoneRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateHostedZoneResponse', ], 'errors' => [ [ 'shape' => 'InvalidDomainName', ], [ 'shape' => 'HostedZoneAlreadyExists', ], [ 'shape' => 'TooManyHostedZones', ], [ 'shape' => 'InvalidVPCId', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'DelegationSetNotAvailable', ], [ 'shape' => 'ConflictingDomainExists', ], [ 'shape' => 'NoSuchDelegationSet', ], [ 'shape' => 'DelegationSetNotReusable', ], ], ], 'CreateKeySigningKey' => [ 'name' => 'CreateKeySigningKey', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/keysigningkey', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateKeySigningKeyRequest', 'locationName' => 'CreateKeySigningKeyRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateKeySigningKeyResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidArgument', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'InvalidKMSArn', ], [ 'shape' => 'InvalidKeySigningKeyStatus', ], [ 'shape' => 'InvalidSigningStatus', ], [ 'shape' => 'InvalidKeySigningKeyName', ], [ 'shape' => 'KeySigningKeyAlreadyExists', ], [ 'shape' => 'TooManyKeySigningKeys', ], [ 'shape' => 'ConcurrentModification', ], ], ], 'CreateQueryLoggingConfig' => [ 'name' => 'CreateQueryLoggingConfig', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/queryloggingconfig', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateQueryLoggingConfigRequest', 'locationName' => 'CreateQueryLoggingConfigRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateQueryLoggingConfigResponse', ], 'errors' => [ [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'NoSuchCloudWatchLogsLogGroup', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'QueryLoggingConfigAlreadyExists', ], [ 'shape' => 'InsufficientCloudWatchLogsResourcePolicy', ], ], ], 'CreateReusableDelegationSet' => [ 'name' => 'CreateReusableDelegationSet', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/delegationset', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateReusableDelegationSetRequest', 'locationName' => 'CreateReusableDelegationSetRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateReusableDelegationSetResponse', ], 'errors' => [ [ 'shape' => 'DelegationSetAlreadyCreated', ], [ 'shape' => 'LimitsExceeded', ], [ 'shape' => 'HostedZoneNotFound', ], [ 'shape' => 'InvalidArgument', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'DelegationSetNotAvailable', ], [ 'shape' => 'DelegationSetAlreadyReusable', ], ], ], 'CreateTrafficPolicy' => [ 'name' => 'CreateTrafficPolicy', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/trafficpolicy', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateTrafficPolicyRequest', 'locationName' => 'CreateTrafficPolicyRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateTrafficPolicyResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'TooManyTrafficPolicies', ], [ 'shape' => 'TrafficPolicyAlreadyExists', ], [ 'shape' => 'InvalidTrafficPolicyDocument', ], ], ], 'CreateTrafficPolicyInstance' => [ 'name' => 'CreateTrafficPolicyInstance', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/trafficpolicyinstance', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateTrafficPolicyInstanceRequest', 'locationName' => 'CreateTrafficPolicyInstanceRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateTrafficPolicyInstanceResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'TooManyTrafficPolicyInstances', ], [ 'shape' => 'NoSuchTrafficPolicy', ], [ 'shape' => 'TrafficPolicyInstanceAlreadyExists', ], ], ], 'CreateTrafficPolicyVersion' => [ 'name' => 'CreateTrafficPolicyVersion', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/trafficpolicy/{Id}', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateTrafficPolicyVersionRequest', 'locationName' => 'CreateTrafficPolicyVersionRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateTrafficPolicyVersionResponse', ], 'errors' => [ [ 'shape' => 'NoSuchTrafficPolicy', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'TooManyTrafficPolicyVersionsForCurrentPolicy', ], [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'InvalidTrafficPolicyDocument', ], ], ], 'CreateVPCAssociationAuthorization' => [ 'name' => 'CreateVPCAssociationAuthorization', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone/{Id}/authorizevpcassociation', ], 'input' => [ 'shape' => 'CreateVPCAssociationAuthorizationRequest', 'locationName' => 'CreateVPCAssociationAuthorizationRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateVPCAssociationAuthorizationResponse', ], 'errors' => [ [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'TooManyVPCAssociationAuthorizations', ], [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidVPCId', ], [ 'shape' => 'InvalidInput', ], ], ], 'DeactivateKeySigningKey' => [ 'name' => 'DeactivateKeySigningKey', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/keysigningkey/{HostedZoneId}/{Name}/deactivate', ], 'input' => [ 'shape' => 'DeactivateKeySigningKeyRequest', ], 'output' => [ 'shape' => 'DeactivateKeySigningKeyResponse', ], 'errors' => [ [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'NoSuchKeySigningKey', ], [ 'shape' => 'InvalidKeySigningKeyStatus', ], [ 'shape' => 'InvalidSigningStatus', ], [ 'shape' => 'KeySigningKeyInUse', ], [ 'shape' => 'KeySigningKeyInParentDSRecord', ], [ 'shape' => 'InvalidInput', ], ], ], 'DeleteCidrCollection' => [ 'name' => 'DeleteCidrCollection', 'http' => [ 'method' => 'DELETE', 'requestUri' => '/2013-04-01/cidrcollection/{CidrCollectionId}', ], 'input' => [ 'shape' => 'DeleteCidrCollectionRequest', ], 'output' => [ 'shape' => 'DeleteCidrCollectionResponse', ], 'errors' => [ [ 'shape' => 'NoSuchCidrCollectionException', ], [ 'shape' => 'CidrCollectionInUseException', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'ConcurrentModification', ], ], ], 'DeleteHealthCheck' => [ 'name' => 'DeleteHealthCheck', 'http' => [ 'method' => 'DELETE', 'requestUri' => '/2013-04-01/healthcheck/{HealthCheckId}', ], 'input' => [ 'shape' => 'DeleteHealthCheckRequest', ], 'output' => [ 'shape' => 'DeleteHealthCheckResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'HealthCheckInUse', ], [ 'shape' => 'InvalidInput', ], ], ], 'DeleteHostedZone' => [ 'name' => 'DeleteHostedZone', 'http' => [ 'method' => 'DELETE', 'requestUri' => '/2013-04-01/hostedzone/{Id}', ], 'input' => [ 'shape' => 'DeleteHostedZoneRequest', ], 'output' => [ 'shape' => 'DeleteHostedZoneResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'HostedZoneNotEmpty', ], [ 'shape' => 'PriorRequestNotComplete', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'InvalidDomainName', ], ], ], 'DeleteKeySigningKey' => [ 'name' => 'DeleteKeySigningKey', 'http' => [ 'method' => 'DELETE', 'requestUri' => '/2013-04-01/keysigningkey/{HostedZoneId}/{Name}', ], 'input' => [ 'shape' => 'DeleteKeySigningKeyRequest', ], 'output' => [ 'shape' => 'DeleteKeySigningKeyResponse', ], 'errors' => [ [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'NoSuchKeySigningKey', ], [ 'shape' => 'InvalidKeySigningKeyStatus', ], [ 'shape' => 'InvalidSigningStatus', ], [ 'shape' => 'InvalidKMSArn', ], [ 'shape' => 'InvalidInput', ], ], ], 'DeleteQueryLoggingConfig' => [ 'name' => 'DeleteQueryLoggingConfig', 'http' => [ 'method' => 'DELETE', 'requestUri' => '/2013-04-01/queryloggingconfig/{Id}', ], 'input' => [ 'shape' => 'DeleteQueryLoggingConfigRequest', ], 'output' => [ 'shape' => 'DeleteQueryLoggingConfigResponse', ], 'errors' => [ [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'NoSuchQueryLoggingConfig', ], [ 'shape' => 'InvalidInput', ], ], ], 'DeleteReusableDelegationSet' => [ 'name' => 'DeleteReusableDelegationSet', 'http' => [ 'method' => 'DELETE', 'requestUri' => '/2013-04-01/delegationset/{Id}', ], 'input' => [ 'shape' => 'DeleteReusableDelegationSetRequest', ], 'output' => [ 'shape' => 'DeleteReusableDelegationSetResponse', ], 'errors' => [ [ 'shape' => 'NoSuchDelegationSet', ], [ 'shape' => 'DelegationSetInUse', ], [ 'shape' => 'DelegationSetNotReusable', ], [ 'shape' => 'InvalidInput', ], ], ], 'DeleteTrafficPolicy' => [ 'name' => 'DeleteTrafficPolicy', 'http' => [ 'method' => 'DELETE', 'requestUri' => '/2013-04-01/trafficpolicy/{Id}/{Version}', ], 'input' => [ 'shape' => 'DeleteTrafficPolicyRequest', ], 'output' => [ 'shape' => 'DeleteTrafficPolicyResponse', ], 'errors' => [ [ 'shape' => 'NoSuchTrafficPolicy', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'TrafficPolicyInUse', ], [ 'shape' => 'ConcurrentModification', ], ], ], 'DeleteTrafficPolicyInstance' => [ 'name' => 'DeleteTrafficPolicyInstance', 'http' => [ 'method' => 'DELETE', 'requestUri' => '/2013-04-01/trafficpolicyinstance/{Id}', ], 'input' => [ 'shape' => 'DeleteTrafficPolicyInstanceRequest', ], 'output' => [ 'shape' => 'DeleteTrafficPolicyInstanceResponse', ], 'errors' => [ [ 'shape' => 'NoSuchTrafficPolicyInstance', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'PriorRequestNotComplete', ], ], ], 'DeleteVPCAssociationAuthorization' => [ 'name' => 'DeleteVPCAssociationAuthorization', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone/{Id}/deauthorizevpcassociation', ], 'input' => [ 'shape' => 'DeleteVPCAssociationAuthorizationRequest', 'locationName' => 'DeleteVPCAssociationAuthorizationRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'DeleteVPCAssociationAuthorizationResponse', ], 'errors' => [ [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'VPCAssociationAuthorizationNotFound', ], [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidVPCId', ], [ 'shape' => 'InvalidInput', ], ], ], 'DisableHostedZoneDNSSEC' => [ 'name' => 'DisableHostedZoneDNSSEC', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone/{Id}/disable-dnssec', ], 'input' => [ 'shape' => 'DisableHostedZoneDNSSECRequest', ], 'output' => [ 'shape' => 'DisableHostedZoneDNSSECResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidArgument', ], [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'KeySigningKeyInParentDSRecord', ], [ 'shape' => 'DNSSECNotFound', ], [ 'shape' => 'InvalidKeySigningKeyStatus', ], [ 'shape' => 'InvalidKMSArn', ], [ 'shape' => 'InvalidInput', ], ], ], 'DisassociateVPCFromHostedZone' => [ 'name' => 'DisassociateVPCFromHostedZone', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone/{Id}/disassociatevpc', ], 'input' => [ 'shape' => 'DisassociateVPCFromHostedZoneRequest', 'locationName' => 'DisassociateVPCFromHostedZoneRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'DisassociateVPCFromHostedZoneResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidVPCId', ], [ 'shape' => 'VPCAssociationNotFound', ], [ 'shape' => 'LastVPCAssociation', ], [ 'shape' => 'InvalidInput', ], ], ], 'EnableHostedZoneDNSSEC' => [ 'name' => 'EnableHostedZoneDNSSEC', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone/{Id}/enable-dnssec', ], 'input' => [ 'shape' => 'EnableHostedZoneDNSSECRequest', ], 'output' => [ 'shape' => 'EnableHostedZoneDNSSECResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidArgument', ], [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'KeySigningKeyWithActiveStatusNotFound', ], [ 'shape' => 'InvalidKMSArn', ], [ 'shape' => 'HostedZonePartiallyDelegated', ], [ 'shape' => 'DNSSECNotFound', ], [ 'shape' => 'InvalidKeySigningKeyStatus', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetAccountLimit' => [ 'name' => 'GetAccountLimit', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/accountlimit/{Type}', ], 'input' => [ 'shape' => 'GetAccountLimitRequest', ], 'output' => [ 'shape' => 'GetAccountLimitResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], ], ], 'GetChange' => [ 'name' => 'GetChange', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/change/{Id}', ], 'input' => [ 'shape' => 'GetChangeRequest', ], 'output' => [ 'shape' => 'GetChangeResponse', ], 'errors' => [ [ 'shape' => 'NoSuchChange', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetCheckerIpRanges' => [ 'name' => 'GetCheckerIpRanges', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/checkeripranges', ], 'input' => [ 'shape' => 'GetCheckerIpRangesRequest', ], 'output' => [ 'shape' => 'GetCheckerIpRangesResponse', ], ], 'GetDNSSEC' => [ 'name' => 'GetDNSSEC', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzone/{Id}/dnssec', ], 'input' => [ 'shape' => 'GetDNSSECRequest', ], 'output' => [ 'shape' => 'GetDNSSECResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidArgument', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetGeoLocation' => [ 'name' => 'GetGeoLocation', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/geolocation', ], 'input' => [ 'shape' => 'GetGeoLocationRequest', ], 'output' => [ 'shape' => 'GetGeoLocationResponse', ], 'errors' => [ [ 'shape' => 'NoSuchGeoLocation', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetHealthCheck' => [ 'name' => 'GetHealthCheck', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/healthcheck/{HealthCheckId}', ], 'input' => [ 'shape' => 'GetHealthCheckRequest', ], 'output' => [ 'shape' => 'GetHealthCheckResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'IncompatibleVersion', ], ], ], 'GetHealthCheckCount' => [ 'name' => 'GetHealthCheckCount', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/healthcheckcount', ], 'input' => [ 'shape' => 'GetHealthCheckCountRequest', ], 'output' => [ 'shape' => 'GetHealthCheckCountResponse', ], ], 'GetHealthCheckLastFailureReason' => [ 'name' => 'GetHealthCheckLastFailureReason', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/healthcheck/{HealthCheckId}/lastfailurereason', ], 'input' => [ 'shape' => 'GetHealthCheckLastFailureReasonRequest', ], 'output' => [ 'shape' => 'GetHealthCheckLastFailureReasonResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetHealthCheckStatus' => [ 'name' => 'GetHealthCheckStatus', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/healthcheck/{HealthCheckId}/status', ], 'input' => [ 'shape' => 'GetHealthCheckStatusRequest', ], 'output' => [ 'shape' => 'GetHealthCheckStatusResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetHostedZone' => [ 'name' => 'GetHostedZone', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzone/{Id}', ], 'input' => [ 'shape' => 'GetHostedZoneRequest', ], 'output' => [ 'shape' => 'GetHostedZoneResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetHostedZoneCount' => [ 'name' => 'GetHostedZoneCount', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzonecount', ], 'input' => [ 'shape' => 'GetHostedZoneCountRequest', ], 'output' => [ 'shape' => 'GetHostedZoneCountResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], ], ], 'GetHostedZoneLimit' => [ 'name' => 'GetHostedZoneLimit', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzonelimit/{Id}/{Type}', ], 'input' => [ 'shape' => 'GetHostedZoneLimitRequest', ], 'output' => [ 'shape' => 'GetHostedZoneLimitResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'HostedZoneNotPrivate', ], ], ], 'GetQueryLoggingConfig' => [ 'name' => 'GetQueryLoggingConfig', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/queryloggingconfig/{Id}', ], 'input' => [ 'shape' => 'GetQueryLoggingConfigRequest', ], 'output' => [ 'shape' => 'GetQueryLoggingConfigResponse', ], 'errors' => [ [ 'shape' => 'NoSuchQueryLoggingConfig', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetReusableDelegationSet' => [ 'name' => 'GetReusableDelegationSet', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/delegationset/{Id}', ], 'input' => [ 'shape' => 'GetReusableDelegationSetRequest', ], 'output' => [ 'shape' => 'GetReusableDelegationSetResponse', ], 'errors' => [ [ 'shape' => 'NoSuchDelegationSet', ], [ 'shape' => 'DelegationSetNotReusable', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetReusableDelegationSetLimit' => [ 'name' => 'GetReusableDelegationSetLimit', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/reusabledelegationsetlimit/{Id}/{Type}', ], 'input' => [ 'shape' => 'GetReusableDelegationSetLimitRequest', ], 'output' => [ 'shape' => 'GetReusableDelegationSetLimitResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchDelegationSet', ], ], ], 'GetTrafficPolicy' => [ 'name' => 'GetTrafficPolicy', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/trafficpolicy/{Id}/{Version}', ], 'input' => [ 'shape' => 'GetTrafficPolicyRequest', ], 'output' => [ 'shape' => 'GetTrafficPolicyResponse', ], 'errors' => [ [ 'shape' => 'NoSuchTrafficPolicy', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetTrafficPolicyInstance' => [ 'name' => 'GetTrafficPolicyInstance', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/trafficpolicyinstance/{Id}', ], 'input' => [ 'shape' => 'GetTrafficPolicyInstanceRequest', ], 'output' => [ 'shape' => 'GetTrafficPolicyInstanceResponse', ], 'errors' => [ [ 'shape' => 'NoSuchTrafficPolicyInstance', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetTrafficPolicyInstanceCount' => [ 'name' => 'GetTrafficPolicyInstanceCount', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/trafficpolicyinstancecount', ], 'input' => [ 'shape' => 'GetTrafficPolicyInstanceCountRequest', ], 'output' => [ 'shape' => 'GetTrafficPolicyInstanceCountResponse', ], ], 'ListCidrBlocks' => [ 'name' => 'ListCidrBlocks', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/cidrcollection/{CidrCollectionId}/cidrblocks', ], 'input' => [ 'shape' => 'ListCidrBlocksRequest', ], 'output' => [ 'shape' => 'ListCidrBlocksResponse', ], 'errors' => [ [ 'shape' => 'NoSuchCidrCollectionException', ], [ 'shape' => 'NoSuchCidrLocationException', ], [ 'shape' => 'InvalidInput', ], ], ], 'ListCidrCollections' => [ 'name' => 'ListCidrCollections', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/cidrcollection', ], 'input' => [ 'shape' => 'ListCidrCollectionsRequest', ], 'output' => [ 'shape' => 'ListCidrCollectionsResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], ], ], 'ListCidrLocations' => [ 'name' => 'ListCidrLocations', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/cidrcollection/{CidrCollectionId}', ], 'input' => [ 'shape' => 'ListCidrLocationsRequest', ], 'output' => [ 'shape' => 'ListCidrLocationsResponse', ], 'errors' => [ [ 'shape' => 'NoSuchCidrCollectionException', ], [ 'shape' => 'InvalidInput', ], ], ], 'ListGeoLocations' => [ 'name' => 'ListGeoLocations', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/geolocations', ], 'input' => [ 'shape' => 'ListGeoLocationsRequest', ], 'output' => [ 'shape' => 'ListGeoLocationsResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], ], ], 'ListHealthChecks' => [ 'name' => 'ListHealthChecks', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/healthcheck', ], 'input' => [ 'shape' => 'ListHealthChecksRequest', ], 'output' => [ 'shape' => 'ListHealthChecksResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'IncompatibleVersion', ], ], ], 'ListHostedZones' => [ 'name' => 'ListHostedZones', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzone', ], 'input' => [ 'shape' => 'ListHostedZonesRequest', ], 'output' => [ 'shape' => 'ListHostedZonesResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchDelegationSet', ], [ 'shape' => 'DelegationSetNotReusable', ], ], ], 'ListHostedZonesByName' => [ 'name' => 'ListHostedZonesByName', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzonesbyname', ], 'input' => [ 'shape' => 'ListHostedZonesByNameRequest', ], 'output' => [ 'shape' => 'ListHostedZonesByNameResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'InvalidDomainName', ], ], ], 'ListHostedZonesByVPC' => [ 'name' => 'ListHostedZonesByVPC', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzonesbyvpc', ], 'input' => [ 'shape' => 'ListHostedZonesByVPCRequest', ], 'output' => [ 'shape' => 'ListHostedZonesByVPCResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'InvalidPaginationToken', ], ], ], 'ListQueryLoggingConfigs' => [ 'name' => 'ListQueryLoggingConfigs', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/queryloggingconfig', ], 'input' => [ 'shape' => 'ListQueryLoggingConfigsRequest', ], 'output' => [ 'shape' => 'ListQueryLoggingConfigsResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'InvalidPaginationToken', ], [ 'shape' => 'NoSuchHostedZone', ], ], ], 'ListResourceRecordSets' => [ 'name' => 'ListResourceRecordSets', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzone/{Id}/rrset', ], 'input' => [ 'shape' => 'ListResourceRecordSetsRequest', ], 'output' => [ 'shape' => 'ListResourceRecordSetsResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidInput', ], ], ], 'ListReusableDelegationSets' => [ 'name' => 'ListReusableDelegationSets', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/delegationset', ], 'input' => [ 'shape' => 'ListReusableDelegationSetsRequest', ], 'output' => [ 'shape' => 'ListReusableDelegationSetsResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], ], ], 'ListTagsForResource' => [ 'name' => 'ListTagsForResource', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/tags/{ResourceType}/{ResourceId}', ], 'input' => [ 'shape' => 'ListTagsForResourceRequest', ], 'output' => [ 'shape' => 'ListTagsForResourceResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'PriorRequestNotComplete', ], [ 'shape' => 'ThrottlingException', ], ], ], 'ListTagsForResources' => [ 'name' => 'ListTagsForResources', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/tags/{ResourceType}', ], 'input' => [ 'shape' => 'ListTagsForResourcesRequest', 'locationName' => 'ListTagsForResourcesRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'ListTagsForResourcesResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'PriorRequestNotComplete', ], [ 'shape' => 'ThrottlingException', ], ], ], 'ListTrafficPolicies' => [ 'name' => 'ListTrafficPolicies', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/trafficpolicies', ], 'input' => [ 'shape' => 'ListTrafficPoliciesRequest', ], 'output' => [ 'shape' => 'ListTrafficPoliciesResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], ], ], 'ListTrafficPolicyInstances' => [ 'name' => 'ListTrafficPolicyInstances', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/trafficpolicyinstances', ], 'input' => [ 'shape' => 'ListTrafficPolicyInstancesRequest', ], 'output' => [ 'shape' => 'ListTrafficPolicyInstancesResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchTrafficPolicyInstance', ], ], ], 'ListTrafficPolicyInstancesByHostedZone' => [ 'name' => 'ListTrafficPolicyInstancesByHostedZone', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/trafficpolicyinstances/hostedzone', ], 'input' => [ 'shape' => 'ListTrafficPolicyInstancesByHostedZoneRequest', ], 'output' => [ 'shape' => 'ListTrafficPolicyInstancesByHostedZoneResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchTrafficPolicyInstance', ], [ 'shape' => 'NoSuchHostedZone', ], ], ], 'ListTrafficPolicyInstancesByPolicy' => [ 'name' => 'ListTrafficPolicyInstancesByPolicy', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/trafficpolicyinstances/trafficpolicy', ], 'input' => [ 'shape' => 'ListTrafficPolicyInstancesByPolicyRequest', ], 'output' => [ 'shape' => 'ListTrafficPolicyInstancesByPolicyResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchTrafficPolicyInstance', ], [ 'shape' => 'NoSuchTrafficPolicy', ], ], ], 'ListTrafficPolicyVersions' => [ 'name' => 'ListTrafficPolicyVersions', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/trafficpolicies/{Id}/versions', ], 'input' => [ 'shape' => 'ListTrafficPolicyVersionsRequest', ], 'output' => [ 'shape' => 'ListTrafficPolicyVersionsResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchTrafficPolicy', ], ], ], 'ListVPCAssociationAuthorizations' => [ 'name' => 'ListVPCAssociationAuthorizations', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzone/{Id}/authorizevpcassociation', ], 'input' => [ 'shape' => 'ListVPCAssociationAuthorizationsRequest', ], 'output' => [ 'shape' => 'ListVPCAssociationAuthorizationsResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'InvalidPaginationToken', ], ], ], 'TestDNSAnswer' => [ 'name' => 'TestDNSAnswer', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/testdnsanswer', ], 'input' => [ 'shape' => 'TestDNSAnswerRequest', ], 'output' => [ 'shape' => 'TestDNSAnswerResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidInput', ], ], ], 'UpdateHealthCheck' => [ 'name' => 'UpdateHealthCheck', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/healthcheck/{HealthCheckId}', ], 'input' => [ 'shape' => 'UpdateHealthCheckRequest', 'locationName' => 'UpdateHealthCheckRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'UpdateHealthCheckResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'HealthCheckVersionMismatch', ], ], ], 'UpdateHostedZoneComment' => [ 'name' => 'UpdateHostedZoneComment', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone/{Id}', ], 'input' => [ 'shape' => 'UpdateHostedZoneCommentRequest', 'locationName' => 'UpdateHostedZoneCommentRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'UpdateHostedZoneCommentResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'PriorRequestNotComplete', ], ], ], 'UpdateTrafficPolicyComment' => [ 'name' => 'UpdateTrafficPolicyComment', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/trafficpolicy/{Id}/{Version}', ], 'input' => [ 'shape' => 'UpdateTrafficPolicyCommentRequest', 'locationName' => 'UpdateTrafficPolicyCommentRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'UpdateTrafficPolicyCommentResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchTrafficPolicy', ], [ 'shape' => 'ConcurrentModification', ], ], ], 'UpdateTrafficPolicyInstance' => [ 'name' => 'UpdateTrafficPolicyInstance', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/trafficpolicyinstance/{Id}', ], 'input' => [ 'shape' => 'UpdateTrafficPolicyInstanceRequest', 'locationName' => 'UpdateTrafficPolicyInstanceRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'UpdateTrafficPolicyInstanceResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchTrafficPolicy', ], [ 'shape' => 'NoSuchTrafficPolicyInstance', ], [ 'shape' => 'PriorRequestNotComplete', ], [ 'shape' => 'ConflictingTypes', ], ], ], ], 'shapes' => [ 'ARN' => [ 'type' => 'string', 'max' => 2048, 'min' => 20, 'pattern' => '.*\\S.*', ], 'AWSAccountID' => [ 'type' => 'string', ], 'AWSRegion' => [ 'type' => 'string', 'max' => 64, 'min' => 1, ], 'AccountLimit' => [ 'type' => 'structure', 'required' => [ 'Type', 'Value', ], 'members' => [ 'Type' => [ 'shape' => 'AccountLimitType', ], 'Value' => [ 'shape' => 'LimitValue', ], ], ], 'AccountLimitType' => [ 'type' => 'string', 'enum' => [ 'MAX_HEALTH_CHECKS_BY_OWNER', 'MAX_HOSTED_ZONES_BY_OWNER', 'MAX_TRAFFIC_POLICY_INSTANCES_BY_OWNER', 'MAX_REUSABLE_DELEGATION_SETS_BY_OWNER', 'MAX_TRAFFIC_POLICIES_BY_OWNER', ], ], 'ActivateKeySigningKeyRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'Name', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'HostedZoneId', ], 'Name' => [ 'shape' => 'SigningKeyName', 'location' => 'uri', 'locationName' => 'Name', ], ], ], 'ActivateKeySigningKeyResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'AlarmIdentifier' => [ 'type' => 'structure', 'required' => [ 'Region', 'Name', ], 'members' => [ 'Region' => [ 'shape' => 'CloudWatchRegion', ], 'Name' => [ 'shape' => 'AlarmName', ], ], ], 'AlarmName' => [ 'type' => 'string', 'max' => 256, 'min' => 1, ], 'AliasHealthEnabled' => [ 'type' => 'boolean', ], 'AliasTarget' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'DNSName', 'EvaluateTargetHealth', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'DNSName' => [ 'shape' => 'DNSName', ], 'EvaluateTargetHealth' => [ 'shape' => 'AliasHealthEnabled', ], ], ], 'AssociateVPCComment' => [ 'type' => 'string', ], 'AssociateVPCWithHostedZoneRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'VPC', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], 'VPC' => [ 'shape' => 'VPC', ], 'Comment' => [ 'shape' => 'AssociateVPCComment', ], ], ], 'AssociateVPCWithHostedZoneResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'Bias' => [ 'type' => 'integer', 'max' => 99, 'min' => -99, ], 'Change' => [ 'type' => 'structure', 'required' => [ 'Action', 'ResourceRecordSet', ], 'members' => [ 'Action' => [ 'shape' => 'ChangeAction', ], 'ResourceRecordSet' => [ 'shape' => 'ResourceRecordSet', ], ], ], 'ChangeAction' => [ 'type' => 'string', 'enum' => [ 'CREATE', 'DELETE', 'UPSERT', ], ], 'ChangeBatch' => [ 'type' => 'structure', 'required' => [ 'Changes', ], 'members' => [ 'Comment' => [ 'shape' => 'ResourceDescription', ], 'Changes' => [ 'shape' => 'Changes', ], ], ], 'ChangeCidrCollectionRequest' => [ 'type' => 'structure', 'required' => [ 'Id', 'Changes', ], 'members' => [ 'Id' => [ 'shape' => 'UUID', 'location' => 'uri', 'locationName' => 'CidrCollectionId', ], 'CollectionVersion' => [ 'shape' => 'CollectionVersion', ], 'Changes' => [ 'shape' => 'CidrCollectionChanges', ], ], ], 'ChangeCidrCollectionResponse' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'ChangeId', ], ], ], 'ChangeId' => [ 'type' => 'string', 'max' => 6500, 'min' => 1, ], 'ChangeInfo' => [ 'type' => 'structure', 'required' => [ 'Id', 'Status', 'SubmittedAt', ], 'members' => [ 'Id' => [ 'shape' => 'ResourceId', ], 'Status' => [ 'shape' => 'ChangeStatus', ], 'SubmittedAt' => [ 'shape' => 'TimeStamp', ], 'Comment' => [ 'shape' => 'ResourceDescription', ], ], ], 'ChangeResourceRecordSetsRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'ChangeBatch', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], 'ChangeBatch' => [ 'shape' => 'ChangeBatch', ], ], ], 'ChangeResourceRecordSetsResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'ChangeStatus' => [ 'type' => 'string', 'enum' => [ 'PENDING', 'INSYNC', ], ], 'ChangeTagsForResourceRequest' => [ 'type' => 'structure', 'required' => [ 'ResourceType', 'ResourceId', ], 'members' => [ 'ResourceType' => [ 'shape' => 'TagResourceType', 'location' => 'uri', 'locationName' => 'ResourceType', ], 'ResourceId' => [ 'shape' => 'TagResourceId', 'location' => 'uri', 'locationName' => 'ResourceId', ], 'AddTags' => [ 'shape' => 'TagList', ], 'RemoveTagKeys' => [ 'shape' => 'TagKeyList', ], ], ], 'ChangeTagsForResourceResponse' => [ 'type' => 'structure', 'members' => [], ], 'Changes' => [ 'type' => 'list', 'member' => [ 'shape' => 'Change', 'locationName' => 'Change', ], 'min' => 1, ], 'CheckerIpRanges' => [ 'type' => 'list', 'member' => [ 'shape' => 'IPAddressCidr', ], ], 'ChildHealthCheckList' => [ 'type' => 'list', 'member' => [ 'shape' => 'HealthCheckId', 'locationName' => 'ChildHealthCheck', ], 'max' => 256, ], 'Cidr' => [ 'type' => 'string', 'max' => 50, 'min' => 1, 'pattern' => '.*\\S.*', ], 'CidrBlockInUseException' => [ 'type' => 'structure', 'members' => [ 'Message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'CidrBlockSummaries' => [ 'type' => 'list', 'member' => [ 'shape' => 'CidrBlockSummary', ], ], 'CidrBlockSummary' => [ 'type' => 'structure', 'members' => [ 'CidrBlock' => [ 'shape' => 'Cidr', ], 'LocationName' => [ 'shape' => 'CidrLocationNameDefaultNotAllowed', ], ], ], 'CidrCollection' => [ 'type' => 'structure', 'members' => [ 'Arn' => [ 'shape' => 'ARN', ], 'Id' => [ 'shape' => 'UUID', ], 'Name' => [ 'shape' => 'CollectionName', ], 'Version' => [ 'shape' => 'CollectionVersion', ], ], ], 'CidrCollectionAlreadyExistsException' => [ 'type' => 'structure', 'members' => [ 'Message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'CidrCollectionChange' => [ 'type' => 'structure', 'required' => [ 'LocationName', 'Action', 'CidrList', ], 'members' => [ 'LocationName' => [ 'shape' => 'CidrLocationNameDefaultNotAllowed', ], 'Action' => [ 'shape' => 'CidrCollectionChangeAction', ], 'CidrList' => [ 'shape' => 'CidrList', ], ], ], 'CidrCollectionChangeAction' => [ 'type' => 'string', 'enum' => [ 'PUT', 'DELETE_IF_EXISTS', ], ], 'CidrCollectionChanges' => [ 'type' => 'list', 'member' => [ 'shape' => 'CidrCollectionChange', ], 'max' => 1000, 'min' => 1, ], 'CidrCollectionInUseException' => [ 'type' => 'structure', 'members' => [ 'Message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'CidrCollectionVersionMismatchException' => [ 'type' => 'structure', 'members' => [ 'Message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 409, ], 'exception' => true, ], 'CidrList' => [ 'type' => 'list', 'member' => [ 'shape' => 'Cidr', 'locationName' => 'Cidr', ], 'max' => 1000, 'min' => 1, ], 'CidrLocationNameDefaultAllowed' => [ 'type' => 'string', 'max' => 16, 'min' => 1, 'pattern' => '[0-9A-Za-z_\\-\\*]+', ], 'CidrLocationNameDefaultNotAllowed' => [ 'type' => 'string', 'max' => 16, 'min' => 1, 'pattern' => '[0-9A-Za-z_\\-]+', ], 'CidrNonce' => [ 'type' => 'string', 'max' => 64, 'min' => 1, 'pattern' => '\\p{ASCII}+', ], 'CidrRoutingConfig' => [ 'type' => 'structure', 'required' => [ 'CollectionId', 'LocationName', ], 'members' => [ 'CollectionId' => [ 'shape' => 'UUID', ], 'LocationName' => [ 'shape' => 'CidrLocationNameDefaultAllowed', ], ], ], 'CloudWatchAlarmConfiguration' => [ 'type' => 'structure', 'required' => [ 'EvaluationPeriods', 'Threshold', 'ComparisonOperator', 'Period', 'MetricName', 'Namespace', 'Statistic', ], 'members' => [ 'EvaluationPeriods' => [ 'shape' => 'EvaluationPeriods', ], 'Threshold' => [ 'shape' => 'Threshold', ], 'ComparisonOperator' => [ 'shape' => 'ComparisonOperator', ], 'Period' => [ 'shape' => 'Period', ], 'MetricName' => [ 'shape' => 'MetricName', ], 'Namespace' => [ 'shape' => 'Namespace', ], 'Statistic' => [ 'shape' => 'Statistic', ], 'Dimensions' => [ 'shape' => 'DimensionList', ], ], ], 'CloudWatchLogsLogGroupArn' => [ 'type' => 'string', ], 'CloudWatchRegion' => [ 'type' => 'string', 'enum' => [ 'us-east-1', 'us-east-2', 'us-west-1', 'us-west-2', 'ca-central-1', 'eu-central-1', 'eu-central-2', 'eu-west-1', 'eu-west-2', 'eu-west-3', 'ap-east-1', 'me-south-1', 'me-central-1', 'ap-south-1', 'ap-south-2', 'ap-southeast-1', 'ap-southeast-2', 'ap-southeast-3', 'ap-northeast-1', 'ap-northeast-2', 'ap-northeast-3', 'eu-north-1', 'sa-east-1', 'cn-northwest-1', 'cn-north-1', 'af-south-1', 'eu-south-1', 'eu-south-2', 'us-gov-west-1', 'us-gov-east-1', 'us-iso-east-1', 'us-iso-west-1', 'us-isob-east-1', 'ap-southeast-4', 'il-central-1', 'ca-west-1', 'ap-southeast-5', ], 'max' => 64, 'min' => 1, ], 'CollectionName' => [ 'type' => 'string', 'max' => 64, 'min' => 1, 'pattern' => '[0-9A-Za-z_\\-]+', ], 'CollectionSummaries' => [ 'type' => 'list', 'member' => [ 'shape' => 'CollectionSummary', ], ], 'CollectionSummary' => [ 'type' => 'structure', 'members' => [ 'Arn' => [ 'shape' => 'ARN', ], 'Id' => [ 'shape' => 'UUID', ], 'Name' => [ 'shape' => 'CollectionName', ], 'Version' => [ 'shape' => 'CollectionVersion', ], ], ], 'CollectionVersion' => [ 'type' => 'long', 'min' => 1, ], 'ComparisonOperator' => [ 'type' => 'string', 'enum' => [ 'GreaterThanOrEqualToThreshold', 'GreaterThanThreshold', 'LessThanThreshold', 'LessThanOrEqualToThreshold', ], ], 'ConcurrentModification' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'ConflictingDomainExists' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'ConflictingTypes' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'Coordinates' => [ 'type' => 'structure', 'required' => [ 'Latitude', 'Longitude', ], 'members' => [ 'Latitude' => [ 'shape' => 'Latitude', ], 'Longitude' => [ 'shape' => 'Longitude', ], ], ], 'CreateCidrCollectionRequest' => [ 'type' => 'structure', 'required' => [ 'Name', 'CallerReference', ], 'members' => [ 'Name' => [ 'shape' => 'CollectionName', ], 'CallerReference' => [ 'shape' => 'CidrNonce', ], ], ], 'CreateCidrCollectionResponse' => [ 'type' => 'structure', 'members' => [ 'Collection' => [ 'shape' => 'CidrCollection', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateHealthCheckRequest' => [ 'type' => 'structure', 'required' => [ 'CallerReference', 'HealthCheckConfig', ], 'members' => [ 'CallerReference' => [ 'shape' => 'HealthCheckNonce', ], 'HealthCheckConfig' => [ 'shape' => 'HealthCheckConfig', ], ], ], 'CreateHealthCheckResponse' => [ 'type' => 'structure', 'required' => [ 'HealthCheck', 'Location', ], 'members' => [ 'HealthCheck' => [ 'shape' => 'HealthCheck', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateHostedZoneRequest' => [ 'type' => 'structure', 'required' => [ 'Name', 'CallerReference', ], 'members' => [ 'Name' => [ 'shape' => 'DNSName', ], 'VPC' => [ 'shape' => 'VPC', ], 'CallerReference' => [ 'shape' => 'Nonce', ], 'HostedZoneConfig' => [ 'shape' => 'HostedZoneConfig', ], 'DelegationSetId' => [ 'shape' => 'ResourceId', ], ], ], 'CreateHostedZoneResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZone', 'ChangeInfo', 'DelegationSet', 'Location', ], 'members' => [ 'HostedZone' => [ 'shape' => 'HostedZone', ], 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], 'DelegationSet' => [ 'shape' => 'DelegationSet', ], 'VPC' => [ 'shape' => 'VPC', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateKeySigningKeyRequest' => [ 'type' => 'structure', 'required' => [ 'CallerReference', 'HostedZoneId', 'KeyManagementServiceArn', 'Name', 'Status', ], 'members' => [ 'CallerReference' => [ 'shape' => 'Nonce', ], 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'KeyManagementServiceArn' => [ 'shape' => 'SigningKeyString', ], 'Name' => [ 'shape' => 'SigningKeyName', ], 'Status' => [ 'shape' => 'SigningKeyStatus', ], ], ], 'CreateKeySigningKeyResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', 'KeySigningKey', 'Location', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], 'KeySigningKey' => [ 'shape' => 'KeySigningKey', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateQueryLoggingConfigRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'CloudWatchLogsLogGroupArn', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'CloudWatchLogsLogGroupArn' => [ 'shape' => 'CloudWatchLogsLogGroupArn', ], ], ], 'CreateQueryLoggingConfigResponse' => [ 'type' => 'structure', 'required' => [ 'QueryLoggingConfig', 'Location', ], 'members' => [ 'QueryLoggingConfig' => [ 'shape' => 'QueryLoggingConfig', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateReusableDelegationSetRequest' => [ 'type' => 'structure', 'required' => [ 'CallerReference', ], 'members' => [ 'CallerReference' => [ 'shape' => 'Nonce', ], 'HostedZoneId' => [ 'shape' => 'ResourceId', ], ], ], 'CreateReusableDelegationSetResponse' => [ 'type' => 'structure', 'required' => [ 'DelegationSet', 'Location', ], 'members' => [ 'DelegationSet' => [ 'shape' => 'DelegationSet', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateTrafficPolicyInstanceRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'Name', 'TTL', 'TrafficPolicyId', 'TrafficPolicyVersion', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'Name' => [ 'shape' => 'DNSName', ], 'TTL' => [ 'shape' => 'TTL', ], 'TrafficPolicyId' => [ 'shape' => 'TrafficPolicyId', ], 'TrafficPolicyVersion' => [ 'shape' => 'TrafficPolicyVersion', ], ], ], 'CreateTrafficPolicyInstanceResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicyInstance', 'Location', ], 'members' => [ 'TrafficPolicyInstance' => [ 'shape' => 'TrafficPolicyInstance', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateTrafficPolicyRequest' => [ 'type' => 'structure', 'required' => [ 'Name', 'Document', ], 'members' => [ 'Name' => [ 'shape' => 'TrafficPolicyName', ], 'Document' => [ 'shape' => 'TrafficPolicyDocument', ], 'Comment' => [ 'shape' => 'TrafficPolicyComment', ], ], ], 'CreateTrafficPolicyResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicy', 'Location', ], 'members' => [ 'TrafficPolicy' => [ 'shape' => 'TrafficPolicy', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateTrafficPolicyVersionRequest' => [ 'type' => 'structure', 'required' => [ 'Id', 'Document', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyId', 'location' => 'uri', 'locationName' => 'Id', ], 'Document' => [ 'shape' => 'TrafficPolicyDocument', ], 'Comment' => [ 'shape' => 'TrafficPolicyComment', ], ], ], 'CreateTrafficPolicyVersionResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicy', 'Location', ], 'members' => [ 'TrafficPolicy' => [ 'shape' => 'TrafficPolicy', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateVPCAssociationAuthorizationRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'VPC', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], 'VPC' => [ 'shape' => 'VPC', ], ], ], 'CreateVPCAssociationAuthorizationResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'VPC', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'VPC' => [ 'shape' => 'VPC', ], ], ], 'DNSName' => [ 'type' => 'string', 'max' => 1024, ], 'DNSRCode' => [ 'type' => 'string', ], 'DNSSECNotFound' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'DNSSECStatus' => [ 'type' => 'structure', 'members' => [ 'ServeSignature' => [ 'shape' => 'ServeSignature', ], 'StatusMessage' => [ 'shape' => 'SigningKeyStatusMessage', ], ], ], 'DeactivateKeySigningKeyRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'Name', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'HostedZoneId', ], 'Name' => [ 'shape' => 'SigningKeyName', 'location' => 'uri', 'locationName' => 'Name', ], ], ], 'DeactivateKeySigningKeyResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'DelegationSet' => [ 'type' => 'structure', 'required' => [ 'NameServers', ], 'members' => [ 'Id' => [ 'shape' => 'ResourceId', ], 'CallerReference' => [ 'shape' => 'Nonce', ], 'NameServers' => [ 'shape' => 'DelegationSetNameServers', ], ], ], 'DelegationSetAlreadyCreated' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'DelegationSetAlreadyReusable' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'DelegationSetInUse' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'DelegationSetNameServers' => [ 'type' => 'list', 'member' => [ 'shape' => 'DNSName', 'locationName' => 'NameServer', ], 'min' => 1, ], 'DelegationSetNotAvailable' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'DelegationSetNotReusable' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'DelegationSets' => [ 'type' => 'list', 'member' => [ 'shape' => 'DelegationSet', 'locationName' => 'DelegationSet', ], ], 'DeleteCidrCollectionRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'UUID', 'location' => 'uri', 'locationName' => 'CidrCollectionId', ], ], ], 'DeleteCidrCollectionResponse' => [ 'type' => 'structure', 'members' => [], ], 'DeleteHealthCheckRequest' => [ 'type' => 'structure', 'required' => [ 'HealthCheckId', ], 'members' => [ 'HealthCheckId' => [ 'shape' => 'HealthCheckId', 'location' => 'uri', 'locationName' => 'HealthCheckId', ], ], ], 'DeleteHealthCheckResponse' => [ 'type' => 'structure', 'members' => [], ], 'DeleteHostedZoneRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'DeleteHostedZoneResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'DeleteKeySigningKeyRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'Name', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'HostedZoneId', ], 'Name' => [ 'shape' => 'SigningKeyName', 'location' => 'uri', 'locationName' => 'Name', ], ], ], 'DeleteKeySigningKeyResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'DeleteQueryLoggingConfigRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'QueryLoggingConfigId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'DeleteQueryLoggingConfigResponse' => [ 'type' => 'structure', 'members' => [], ], 'DeleteReusableDelegationSetRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'DeleteReusableDelegationSetResponse' => [ 'type' => 'structure', 'members' => [], ], 'DeleteTrafficPolicyInstanceRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyInstanceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'DeleteTrafficPolicyInstanceResponse' => [ 'type' => 'structure', 'members' => [], ], 'DeleteTrafficPolicyRequest' => [ 'type' => 'structure', 'required' => [ 'Id', 'Version', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyId', 'location' => 'uri', 'locationName' => 'Id', ], 'Version' => [ 'shape' => 'TrafficPolicyVersion', 'location' => 'uri', 'locationName' => 'Version', ], ], ], 'DeleteTrafficPolicyResponse' => [ 'type' => 'structure', 'members' => [], ], 'DeleteVPCAssociationAuthorizationRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'VPC', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], 'VPC' => [ 'shape' => 'VPC', ], ], ], 'DeleteVPCAssociationAuthorizationResponse' => [ 'type' => 'structure', 'members' => [], ], 'Dimension' => [ 'type' => 'structure', 'required' => [ 'Name', 'Value', ], 'members' => [ 'Name' => [ 'shape' => 'DimensionField', ], 'Value' => [ 'shape' => 'DimensionField', ], ], ], 'DimensionField' => [ 'type' => 'string', 'max' => 255, 'min' => 1, ], 'DimensionList' => [ 'type' => 'list', 'member' => [ 'shape' => 'Dimension', 'locationName' => 'Dimension', ], 'max' => 10, ], 'DisableHostedZoneDNSSECRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'DisableHostedZoneDNSSECResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'Disabled' => [ 'type' => 'boolean', ], 'DisassociateVPCComment' => [ 'type' => 'string', ], 'DisassociateVPCFromHostedZoneRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'VPC', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], 'VPC' => [ 'shape' => 'VPC', ], 'Comment' => [ 'shape' => 'DisassociateVPCComment', ], ], ], 'DisassociateVPCFromHostedZoneResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'EnableHostedZoneDNSSECRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'EnableHostedZoneDNSSECResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'EnableSNI' => [ 'type' => 'boolean', ], 'ErrorMessage' => [ 'type' => 'string', ], 'ErrorMessages' => [ 'type' => 'list', 'member' => [ 'shape' => 'ErrorMessage', 'locationName' => 'Message', ], ], 'EvaluationPeriods' => [ 'type' => 'integer', 'min' => 1, ], 'FailureThreshold' => [ 'type' => 'integer', 'max' => 10, 'min' => 1, ], 'FullyQualifiedDomainName' => [ 'type' => 'string', 'max' => 255, ], 'GeoLocation' => [ 'type' => 'structure', 'members' => [ 'ContinentCode' => [ 'shape' => 'GeoLocationContinentCode', ], 'CountryCode' => [ 'shape' => 'GeoLocationCountryCode', ], 'SubdivisionCode' => [ 'shape' => 'GeoLocationSubdivisionCode', ], ], ], 'GeoLocationContinentCode' => [ 'type' => 'string', 'max' => 2, 'min' => 2, ], 'GeoLocationContinentName' => [ 'type' => 'string', 'max' => 32, 'min' => 1, ], 'GeoLocationCountryCode' => [ 'type' => 'string', 'max' => 2, 'min' => 1, ], 'GeoLocationCountryName' => [ 'type' => 'string', 'max' => 64, 'min' => 1, ], 'GeoLocationDetails' => [ 'type' => 'structure', 'members' => [ 'ContinentCode' => [ 'shape' => 'GeoLocationContinentCode', ], 'ContinentName' => [ 'shape' => 'GeoLocationContinentName', ], 'CountryCode' => [ 'shape' => 'GeoLocationCountryCode', ], 'CountryName' => [ 'shape' => 'GeoLocationCountryName', ], 'SubdivisionCode' => [ 'shape' => 'GeoLocationSubdivisionCode', ], 'SubdivisionName' => [ 'shape' => 'GeoLocationSubdivisionName', ], ], ], 'GeoLocationDetailsList' => [ 'type' => 'list', 'member' => [ 'shape' => 'GeoLocationDetails', 'locationName' => 'GeoLocationDetails', ], ], 'GeoLocationSubdivisionCode' => [ 'type' => 'string', 'max' => 3, 'min' => 1, ], 'GeoLocationSubdivisionName' => [ 'type' => 'string', 'max' => 64, 'min' => 1, ], 'GeoProximityLocation' => [ 'type' => 'structure', 'members' => [ 'AWSRegion' => [ 'shape' => 'AWSRegion', ], 'LocalZoneGroup' => [ 'shape' => 'LocalZoneGroup', ], 'Coordinates' => [ 'shape' => 'Coordinates', ], 'Bias' => [ 'shape' => 'Bias', ], ], ], 'GetAccountLimitRequest' => [ 'type' => 'structure', 'required' => [ 'Type', ], 'members' => [ 'Type' => [ 'shape' => 'AccountLimitType', 'location' => 'uri', 'locationName' => 'Type', ], ], ], 'GetAccountLimitResponse' => [ 'type' => 'structure', 'required' => [ 'Limit', 'Count', ], 'members' => [ 'Limit' => [ 'shape' => 'AccountLimit', ], 'Count' => [ 'shape' => 'UsageCount', ], ], ], 'GetChangeRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'ChangeId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'GetChangeResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'GetCheckerIpRangesRequest' => [ 'type' => 'structure', 'members' => [], ], 'GetCheckerIpRangesResponse' => [ 'type' => 'structure', 'required' => [ 'CheckerIpRanges', ], 'members' => [ 'CheckerIpRanges' => [ 'shape' => 'CheckerIpRanges', ], ], ], 'GetDNSSECRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'GetDNSSECResponse' => [ 'type' => 'structure', 'required' => [ 'Status', 'KeySigningKeys', ], 'members' => [ 'Status' => [ 'shape' => 'DNSSECStatus', ], 'KeySigningKeys' => [ 'shape' => 'KeySigningKeys', ], ], ], 'GetGeoLocationRequest' => [ 'type' => 'structure', 'members' => [ 'ContinentCode' => [ 'shape' => 'GeoLocationContinentCode', 'location' => 'querystring', 'locationName' => 'continentcode', ], 'CountryCode' => [ 'shape' => 'GeoLocationCountryCode', 'location' => 'querystring', 'locationName' => 'countrycode', ], 'SubdivisionCode' => [ 'shape' => 'GeoLocationSubdivisionCode', 'location' => 'querystring', 'locationName' => 'subdivisioncode', ], ], ], 'GetGeoLocationResponse' => [ 'type' => 'structure', 'required' => [ 'GeoLocationDetails', ], 'members' => [ 'GeoLocationDetails' => [ 'shape' => 'GeoLocationDetails', ], ], ], 'GetHealthCheckCountRequest' => [ 'type' => 'structure', 'members' => [], ], 'GetHealthCheckCountResponse' => [ 'type' => 'structure', 'required' => [ 'HealthCheckCount', ], 'members' => [ 'HealthCheckCount' => [ 'shape' => 'HealthCheckCount', ], ], ], 'GetHealthCheckLastFailureReasonRequest' => [ 'type' => 'structure', 'required' => [ 'HealthCheckId', ], 'members' => [ 'HealthCheckId' => [ 'shape' => 'HealthCheckId', 'location' => 'uri', 'locationName' => 'HealthCheckId', ], ], ], 'GetHealthCheckLastFailureReasonResponse' => [ 'type' => 'structure', 'required' => [ 'HealthCheckObservations', ], 'members' => [ 'HealthCheckObservations' => [ 'shape' => 'HealthCheckObservations', ], ], ], 'GetHealthCheckRequest' => [ 'type' => 'structure', 'required' => [ 'HealthCheckId', ], 'members' => [ 'HealthCheckId' => [ 'shape' => 'HealthCheckId', 'location' => 'uri', 'locationName' => 'HealthCheckId', ], ], ], 'GetHealthCheckResponse' => [ 'type' => 'structure', 'required' => [ 'HealthCheck', ], 'members' => [ 'HealthCheck' => [ 'shape' => 'HealthCheck', ], ], ], 'GetHealthCheckStatusRequest' => [ 'type' => 'structure', 'required' => [ 'HealthCheckId', ], 'members' => [ 'HealthCheckId' => [ 'shape' => 'HealthCheckId', 'location' => 'uri', 'locationName' => 'HealthCheckId', ], ], ], 'GetHealthCheckStatusResponse' => [ 'type' => 'structure', 'required' => [ 'HealthCheckObservations', ], 'members' => [ 'HealthCheckObservations' => [ 'shape' => 'HealthCheckObservations', ], ], ], 'GetHostedZoneCountRequest' => [ 'type' => 'structure', 'members' => [], ], 'GetHostedZoneCountResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZoneCount', ], 'members' => [ 'HostedZoneCount' => [ 'shape' => 'HostedZoneCount', ], ], ], 'GetHostedZoneLimitRequest' => [ 'type' => 'structure', 'required' => [ 'Type', 'HostedZoneId', ], 'members' => [ 'Type' => [ 'shape' => 'HostedZoneLimitType', 'location' => 'uri', 'locationName' => 'Type', ], 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'GetHostedZoneLimitResponse' => [ 'type' => 'structure', 'required' => [ 'Limit', 'Count', ], 'members' => [ 'Limit' => [ 'shape' => 'HostedZoneLimit', ], 'Count' => [ 'shape' => 'UsageCount', ], ], ], 'GetHostedZoneRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'GetHostedZoneResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZone', ], 'members' => [ 'HostedZone' => [ 'shape' => 'HostedZone', ], 'DelegationSet' => [ 'shape' => 'DelegationSet', ], 'VPCs' => [ 'shape' => 'VPCs', ], ], ], 'GetQueryLoggingConfigRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'QueryLoggingConfigId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'GetQueryLoggingConfigResponse' => [ 'type' => 'structure', 'required' => [ 'QueryLoggingConfig', ], 'members' => [ 'QueryLoggingConfig' => [ 'shape' => 'QueryLoggingConfig', ], ], ], 'GetReusableDelegationSetLimitRequest' => [ 'type' => 'structure', 'required' => [ 'Type', 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], 'HealthCheck' => [ 'type' => 'structure', 'required' => [ 'Id', 'CallerReference', 'HealthCheckConfig', 'HealthCheckVersion', ], 'members' => [ 'Id' => [ 'shape' => 'HealthCheckId', ], 'CallerReference' => [ 'shape' => 'HealthCheckNonce', ], 'LinkedService' => [ 'shape' => 'LinkedService', ], 'HealthCheckConfig' => [ 'shape' => 'HealthCheckConfig', ], 'HealthCheckVersion' => [ 'shape' => 'HealthCheckVersion', ], 'CloudWatchAlarmConfiguration' => [ 'shape' => 'CloudWatchAlarmConfiguration', ], ], ], 'HealthCheckAlreadyExists' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 409, ], 'exception' => true, ], 'HealthCheckConfig' => [ 'type' => 'structure', 'required' => [ 'Type', ], 'members' => [ 'IPAddress' => [ 'shape' => 'IPAddress', ], 'Port' => [ 'shape' => 'Port', ], 'Type' => [ 'shape' => 'HealthCheckType', ], 'ResourcePath' => [ 'shape' => 'ResourcePath', ], 'FullyQualifiedDomainName' => [ 'shape' => 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], 'exception' => true, ], 'HostedZoneOwner' => [ 'type' => 'structure', 'members' => [ 'OwningAccount' => [ 'shape' => 'AWSAccountID', ], 'OwningService' => [ 'shape' => 'HostedZoneOwningService', ], ], ], 'HostedZoneOwningService' => [ 'type' => 'string', 'max' => 128, ], 'HostedZonePartiallyDelegated' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'HostedZoneRRSetCount' => [ 'type' => 'long', ], 'HostedZoneSummaries' => [ 'type' => 'list', 'member' => [ 'shape' => 'HostedZoneSummary', 'locationName' => 'HostedZoneSummary', ], ], 'HostedZoneSummary' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'Name', 'Owner', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'Name' => [ 'shape' => 'DNSName', ], 'Owner' => [ 'shape' => 'HostedZoneOwner', ], ], ], 'HostedZoneType' => [ 'type' => 'string', 'enum' => [ 'PrivateHostedZone', ], ], 'HostedZones' => [ 'type' => 'list', 'member' => [ 'shape' => 'HostedZone', 'locationName' => 'HostedZone', ], ], 'IPAddress' => [ 'type' => 'string', 'max' => 45, 'pattern' => '(^((([0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5]))$|^(([0-9a-fA-F]{1,4}:){7,7}[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,7}:|([0-9a-fA-F]{1,4}:){1,6}:[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,5}(:[0-9a-fA-F]{1,4}){1,2}|([0-9a-fA-F]{1,4}:){1,4}(:[0-9a-fA-F]{1,4}){1,3}|([0-9a-fA-F]{1,4}:){1,3}(:[0-9a-fA-F]{1,4}){1,4}|([0-9a-fA-F]{1,4}:){1,2}(:[0-9a-fA-F]{1,4}){1,5}|[0-9a-fA-F]{1,4}:((:[0-9a-fA-F]{1,4}){1,6})|:((:[0-9a-fA-F]{1,4}){1,7}|:)|fe80:(:[0-9a-fA-F]{0,4}){0,4}%[0-9a-zA-Z]{1,}|::(ffff(:0{1,4}){0,1}:){0,1}((25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9])\\.){3,3}(25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9])|([0-9a-fA-F]{1,4}:){1,4}:((25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9])\\.){3,3}(25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9]))$)', ], 'IPAddressCidr' => [ 'type' => 'string', ], 'IncompatibleVersion' => [ 'type' => 'structure', 'members' 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'locationName' => 'location', ], 'NextToken' => [ 'shape' => 'PaginationToken', 'location' => 'querystring', 'locationName' => 'nexttoken', ], 'MaxResults' => [ 'shape' => 'MaxResults', 'location' => 'querystring', 'locationName' => 'maxresults', ], ], ], 'ListCidrBlocksResponse' => [ 'type' => 'structure', 'members' => [ 'NextToken' => [ 'shape' => 'PaginationToken', ], 'CidrBlocks' => [ 'shape' => 'CidrBlockSummaries', ], ], ], 'ListCidrCollectionsRequest' => [ 'type' => 'structure', 'members' => [ 'NextToken' => [ 'shape' => 'PaginationToken', 'location' => 'querystring', 'locationName' => 'nexttoken', ], 'MaxResults' => [ 'shape' => 'MaxResults', 'location' => 'querystring', 'locationName' => 'maxresults', ], ], ], 'ListCidrCollectionsResponse' => [ 'type' => 'structure', 'members' => [ 'NextToken' => [ 'shape' => 'PaginationToken', ], 'CidrCollections' => [ 'shape' => 'CollectionSummaries', ], ], ], 'ListCidrLocationsRequest' => [ 'type' => 'structure', 'required' => [ 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[ 'HealthChecks', 'Marker', 'IsTruncated', 'MaxItems', ], 'members' => [ 'HealthChecks' => [ 'shape' => 'HealthChecks', ], 'Marker' => [ 'shape' => 'PageMarker', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'NextMarker' => [ 'shape' => 'PageMarker', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListHostedZonesByNameRequest' => [ 'type' => 'structure', 'members' => [ 'DNSName' => [ 'shape' => 'DNSName', 'location' => 'querystring', 'locationName' => 'dnsname', ], 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'querystring', 'locationName' => 'hostedzoneid', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListHostedZonesByNameResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZones', 'IsTruncated', 'MaxItems', ], 'members' => [ 'HostedZones' => [ 'shape' => 'HostedZones', ], 'DNSName' => [ 'shape' => 'DNSName', ], 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'NextDNSName' => [ 'shape' => 'DNSName', ], 'NextHostedZoneId' => [ 'shape' => 'ResourceId', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListHostedZonesByVPCRequest' => [ 'type' => 'structure', 'required' => [ 'VPCId', 'VPCRegion', ], 'members' => [ 'VPCId' => [ 'shape' => 'VPCId', 'location' => 'querystring', 'locationName' => 'vpcid', ], 'VPCRegion' => [ 'shape' => 'VPCRegion', 'location' => 'querystring', 'locationName' => 'vpcregion', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], 'NextToken' => [ 'shape' => 'PaginationToken', 'location' => 'querystring', 'locationName' => 'nexttoken', ], ], ], 'ListHostedZonesByVPCResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZoneSummaries', 'MaxItems', ], 'members' => [ 'HostedZoneSummaries' => [ 'shape' => 'HostedZoneSummaries', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], 'NextToken' => [ 'shape' => 'PaginationToken', ], ], ], 'ListHostedZonesRequest' => [ 'type' => 'structure', 'members' => [ 'Marker' => [ 'shape' => 'PageMarker', 'location' => 'querystring', 'locationName' => 'marker', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], 'DelegationSetId' => [ 'shape' => 'ResourceId', 'location' => 'querystring', 'locationName' => 'delegationsetid', ], 'HostedZoneType' => [ 'shape' => 'HostedZoneType', 'location' => 'querystring', 'locationName' => 'hostedzonetype', ], ], ], 'ListHostedZonesResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZones', 'Marker', 'IsTruncated', 'MaxItems', ], 'members' => [ 'HostedZones' => [ 'shape' => 'HostedZones', ], 'Marker' => [ 'shape' => 'PageMarker', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'NextMarker' => [ 'shape' => 'PageMarker', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListQueryLoggingConfigsRequest' => [ 'type' => 'structure', 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'querystring', 'locationName' => 'hostedzoneid', ], 'NextToken' => [ 'shape' => 'PaginationToken', 'location' => 'querystring', 'locationName' => 'nexttoken', ], 'MaxResults' => [ 'shape' => 'MaxResults', 'location' => 'querystring', 'locationName' => 'maxresults', ], ], ], 'ListQueryLoggingConfigsResponse' => [ 'type' => 'structure', 'required' => [ 'QueryLoggingConfigs', ], 'members' => [ 'QueryLoggingConfigs' => [ 'shape' => 'QueryLoggingConfigs', ], 'NextToken' => [ 'shape' => 'PaginationToken', ], ], ], 'ListResourceRecordSetsRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], 'StartRecordName' => [ 'shape' => 'DNSName', 'location' => 'querystring', 'locationName' => 'name', ], 'StartRecordType' => [ 'shape' => 'RRType', 'location' => 'querystring', 'locationName' => 'type', ], 'StartRecordIdentifier' => [ 'shape' => 'ResourceRecordSetIdentifier', 'location' => 'querystring', 'locationName' => 'identifier', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListResourceRecordSetsResponse' => [ 'type' => 'structure', 'required' => [ 'ResourceRecordSets', 'IsTruncated', 'MaxItems', ], 'members' => [ 'ResourceRecordSets' => [ 'shape' => 'ResourceRecordSets', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'NextRecordName' => [ 'shape' => 'DNSName', ], 'NextRecordType' => [ 'shape' => 'RRType', ], 'NextRecordIdentifier' => [ 'shape' => 'ResourceRecordSetIdentifier', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListReusableDelegationSetsRequest' => [ 'type' => 'structure', 'members' => [ 'Marker' => [ 'shape' => 'PageMarker', 'location' => 'querystring', 'locationName' => 'marker', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListReusableDelegationSetsResponse' => [ 'type' => 'structure', 'required' => [ 'DelegationSets', 'Marker', 'IsTruncated', 'MaxItems', ], 'members' => [ 'DelegationSets' => [ 'shape' => 'DelegationSets', ], 'Marker' => [ 'shape' => 'PageMarker', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'NextMarker' => [ 'shape' => 'PageMarker', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListTagsForResourceRequest' => [ 'type' => 'structure', 'required' => [ 'ResourceType', 'ResourceId', ], 'members' => [ 'ResourceType' => [ 'shape' => 'TagResourceType', 'location' => 'uri', 'locationName' => 'ResourceType', ], 'ResourceId' => [ 'shape' => 'TagResourceId', 'location' => 'uri', 'locationName' => 'ResourceId', ], ], ], 'ListTagsForResourceResponse' => [ 'type' => 'structure', 'required' => [ 'ResourceTagSet', ], 'members' => [ 'ResourceTagSet' => [ 'shape' => 'ResourceTagSet', ], ], ], 'ListTagsForResourcesRequest' => [ 'type' => 'structure', 'required' => [ 'ResourceType', 'ResourceIds', ], 'members' => [ 'ResourceType' => [ 'shape' => 'TagResourceType', 'location' => 'uri', 'locationName' => 'ResourceType', ], 'ResourceIds' => [ 'shape' => 'TagResourceIdList', ], ], ], 'ListTagsForResourcesResponse' => [ 'type' => 'structure', 'required' => [ 'ResourceTagSets', ], 'members' => [ 'ResourceTagSets' => [ 'shape' => 'ResourceTagSetList', ], ], ], 'ListTrafficPoliciesRequest' => [ 'type' => 'structure', 'members' => [ 'TrafficPolicyIdMarker' => [ 'shape' => 'TrafficPolicyId', 'location' => 'querystring', 'locationName' => 'trafficpolicyid', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListTrafficPoliciesResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicySummaries', 'IsTruncated', 'TrafficPolicyIdMarker', 'MaxItems', ], 'members' => [ 'TrafficPolicySummaries' => [ 'shape' => 'TrafficPolicySummaries', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'TrafficPolicyIdMarker' => [ 'shape' => 'TrafficPolicyId', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListTrafficPolicyInstancesByHostedZoneRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'querystring', 'locationName' => 'id', ], 'TrafficPolicyInstanceNameMarker' => [ 'shape' => 'DNSName', 'location' => 'querystring', 'locationName' => 'trafficpolicyinstancename', ], 'TrafficPolicyInstanceTypeMarker' => [ 'shape' => 'RRType', 'location' => 'querystring', 'locationName' => 'trafficpolicyinstancetype', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListTrafficPolicyInstancesByHostedZoneResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicyInstances', 'IsTruncated', 'MaxItems', ], 'members' => [ 'TrafficPolicyInstances' => [ 'shape' => 'TrafficPolicyInstances', ], 'TrafficPolicyInstanceNameMarker' => [ 'shape' => 'DNSName', ], 'TrafficPolicyInstanceTypeMarker' => [ 'shape' => 'RRType', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListTrafficPolicyInstancesByPolicyRequest' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicyId', 'TrafficPolicyVersion', ], 'members' => [ 'TrafficPolicyId' => [ 'shape' => 'TrafficPolicyId', 'location' => 'querystring', 'locationName' => 'id', ], 'TrafficPolicyVersion' => [ 'shape' => 'TrafficPolicyVersion', 'location' => 'querystring', 'locationName' => 'version', ], 'HostedZoneIdMarker' => [ 'shape' => 'ResourceId', 'location' => 'querystring', 'locationName' => 'hostedzoneid', ], 'TrafficPolicyInstanceNameMarker' => [ 'shape' => 'DNSName', 'location' => 'querystring', 'locationName' => 'trafficpolicyinstancename', ], 'TrafficPolicyInstanceTypeMarker' => [ 'shape' => 'RRType', 'location' => 'querystring', 'locationName' => 'trafficpolicyinstancetype', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListTrafficPolicyInstancesByPolicyResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicyInstances', 'IsTruncated', 'MaxItems', ], 'members' => [ 'TrafficPolicyInstances' => [ 'shape' => 'TrafficPolicyInstances', ], 'HostedZoneIdMarker' => [ 'shape' => 'ResourceId', ], 'TrafficPolicyInstanceNameMarker' => [ 'shape' => 'DNSName', ], 'TrafficPolicyInstanceTypeMarker' => [ 'shape' => 'RRType', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListTrafficPolicyInstancesRequest' => [ 'type' => 'structure', 'members' => [ 'HostedZoneIdMarker' => [ 'shape' => 'ResourceId', 'location' => 'querystring', 'locationName' => 'hostedzoneid', ], 'TrafficPolicyInstanceNameMarker' => [ 'shape' => 'DNSName', 'location' => 'querystring', 'locationName' => 'trafficpolicyinstancename', ], 'TrafficPolicyInstanceTypeMarker' => [ 'shape' => 'RRType', 'location' => 'querystring', 'locationName' => 'trafficpolicyinstancetype', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListTrafficPolicyInstancesResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicyInstances', 'IsTruncated', 'MaxItems', ], 'members' => [ 'TrafficPolicyInstances' => [ 'shape' => 'TrafficPolicyInstances', ], 'HostedZoneIdMarker' => [ 'shape' => 'ResourceId', ], 'TrafficPolicyInstanceNameMarker' => [ 'shape' => 'DNSName', ], 'TrafficPolicyInstanceTypeMarker' => [ 'shape' => 'RRType', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListTrafficPolicyVersionsRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyId', 'location' => 'uri', 'locationName' => 'Id', ], 'TrafficPolicyVersionMarker' => [ 'shape' => 'TrafficPolicyVersionMarker', 'location' => 'querystring', 'locationName' => 'trafficpolicyversion', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListTrafficPolicyVersionsResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicies', 'IsTruncated', 'TrafficPolicyVersionMarker', 'MaxItems', ], 'members' => [ 'TrafficPolicies' => [ 'shape' => 'TrafficPolicies', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'TrafficPolicyVersionMarker' => [ 'shape' => 'TrafficPolicyVersionMarker', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListVPCAssociationAuthorizationsRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], 'NextToken' => [ 'shape' => 'PaginationToken', 'location' => 'querystring', 'locationName' => 'nexttoken', ], 'MaxResults' => [ 'shape' => 'MaxResults', 'location' => 'querystring', 'locationName' => 'maxresults', ], ], ], 'ListVPCAssociationAuthorizationsResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'VPCs', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'NextToken' => [ 'shape' => 'PaginationToken', ], 'VPCs' => [ 'shape' => 'VPCs', ], ], ], 'LocalZoneGroup' => [ 'type' => 'string', 'max' => 64, 'min' => 1, ], 'LocationSummaries' => [ 'type' => 'list', 'member' => [ 'shape' => 'LocationSummary', ], ], 'LocationSummary' => [ 'type' => 'structure', 'members' => [ 'LocationName' => [ 'shape' => 'CidrLocationNameDefaultAllowed', ], ], ], 'Longitude' => [ 'type' => 'string', 'max' => 7, 'min' => 1, 'pattern' => '[-+]?[0-9]{1,3}(\\.[0-9]{0,2})?', ], 'MaxResults' => [ 'type' => 'string', ], 'MeasureLatency' => [ 'type' => 'boolean', ], 'Message' => [ 'type' => 'string', 'max' => 1024, ], 'MetricName' => [ 'type' => 'string', 'max' => 255, 'min' => 1, ], 'Nameserver' => [ 'type' => 'string', 'max' => 255, 'min' => 0, ], 'Namespace' => [ 'type' => 'string', 'max' => 255, 'min' => 1, ], 'NoSuchChange' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchCidrCollectionException' => [ 'type' => 'structure', 'members' => [ 'Message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchCidrLocationException' => [ 'type' => 'structure', 'members' => [ 'Message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchCloudWatchLogsLogGroup' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchDelegationSet' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'NoSuchGeoLocation' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchHealthCheck' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchHostedZone' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchKeySigningKey' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchQueryLoggingConfig' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchTrafficPolicy' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchTrafficPolicyInstance' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'Nonce' => [ 'type' => 'string', 'max' => 128, 'min' => 1, ], 'NotAuthorizedException' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 401, ], 'exception' => true, ], 'PageMarker' => [ 'type' => 'string', 'max' => 64, ], 'PageMaxItems' => [ 'type' => 'string', ], 'PageTruncated' => [ 'type' => 'boolean', ], 'PaginationToken' => [ 'type' => 'string', 'max' => 1024, ], 'Period' => [ 'type' => 'integer', 'min' => 60, ], 'Port' => [ 'type' => 'integer', 'max' => 65535, 'min' => 1, ], 'PriorRequestNotComplete' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'PublicZoneVPCAssociation' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'QueryLoggingConfig' => [ 'type' => 'structure', 'required' => [ 'Id', 'HostedZoneId', 'CloudWatchLogsLogGroupArn', ], 'members' => [ 'Id' => [ 'shape' => 'QueryLoggingConfigId', ], 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'CloudWatchLogsLogGroupArn' => [ 'shape' => 'CloudWatchLogsLogGroupArn', ], ], ], 'QueryLoggingConfigAlreadyExists' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 409, ], 'exception' => true, ], 'QueryLoggingConfigId' => [ 'type' => 'string', 'max' => 36, 'min' => 1, ], 'QueryLoggingConfigs' => [ 'type' => 'list', 'member' => [ 'shape' => 'QueryLoggingConfig', 'locationName' => 'QueryLoggingConfig', ], ], 'RData' => [ 'type' => 'string', 'max' => 4000, ], 'RRType' => [ 'type' => 'string', 'enum' => [ 'SOA', 'A', 'TXT', 'NS', 'CNAME', 'MX', 'NAPTR', 'PTR', 'SRV', 'SPF', 'AAAA', 'CAA', 'DS', 'TLSA', 'SSHFP', 'SVCB', 'HTTPS', ], ], 'RecordData' => [ 'type' => 'list', 'member' => [ 'shape' => 'RecordDataEntry', 'locationName' => 'RecordDataEntry', ], ], 'RecordDataEntry' => [ 'type' => 'string', 'max' => 512, 'min' => 0, ], 'RequestInterval' => [ 'type' => 'integer', 'max' => 30, 'min' => 10, ], 'ResettableElementName' => [ 'type' => 'string', 'enum' => [ 'FullyQualifiedDomainName', 'Regions', 'ResourcePath', 'ChildHealthChecks', ], 'max' => 64, 'min' => 1, ], 'ResettableElementNameList' => [ 'type' => 'list', 'member' => [ 'shape' => 'ResettableElementName', 'locationName' => 'ResettableElementName', ], 'max' => 64, ], 'ResourceDescription' => [ 'type' => 'string', 'max' => 256, ], 'ResourceId' => [ 'type' => 'string', 'max' => 32, ], 'ResourcePath' => [ 'type' => 'string', 'max' => 255, ], 'ResourceRecord' => [ 'type' => 'structure', 'required' => [ 'Value', ], 'members' => [ 'Value' => [ 'shape' => 'RData', ], ], ], 'ResourceRecordSet' => [ 'type' => 'structure', 'required' => [ 'Name', 'Type', ], 'members' => [ 'Name' => [ 'shape' => 'DNSName', ], 'Type' => [ 'shape' => 'RRType', ], 'SetIdentifier' => [ 'shape' => 'ResourceRecordSetIdentifier', ], 'Weight' => [ 'shape' => 'ResourceRecordSetWeight', ], 'Region' => [ 'shape' => 'ResourceRecordSetRegion', ], 'GeoLocation' => [ 'shape' => 'GeoLocation', ], 'Failover' => [ 'shape' => 'ResourceRecordSetFailover', ], 'MultiValueAnswer' => [ 'shape' => 'ResourceRecordSetMultiValueAnswer', ], 'TTL' => [ 'shape' => 'TTL', ], 'ResourceRecords' => [ 'shape' => 'ResourceRecords', ], 'AliasTarget' => [ 'shape' => 'AliasTarget', ], 'HealthCheckId' => [ 'shape' => 'HealthCheckId', ], 'TrafficPolicyInstanceId' => [ 'shape' => 'TrafficPolicyInstanceId', ], 'CidrRoutingConfig' => [ 'shape' => 'CidrRoutingConfig', ], 'GeoProximityLocation' => [ 'shape' => 'GeoProximityLocation', ], ], ], 'ResourceRecordSetFailover' => [ 'type' => 'string', 'enum' => [ 'PRIMARY', 'SECONDARY', ], ], 'ResourceRecordSetIdentifier' => [ 'type' => 'string', 'max' => 128, 'min' => 1, ], 'ResourceRecordSetMultiValueAnswer' => [ 'type' => 'boolean', ], 'ResourceRecordSetRegion' => [ 'type' => 'string', 'enum' => [ 'us-east-1', 'us-east-2', 'us-west-1', 'us-west-2', 'ca-central-1', 'eu-west-1', 'eu-west-2', 'eu-west-3', 'eu-central-1', 'eu-central-2', 'ap-southeast-1', 'ap-southeast-2', 'ap-southeast-3', 'ap-northeast-1', 'ap-northeast-2', 'ap-northeast-3', 'eu-north-1', 'sa-east-1', 'cn-north-1', 'cn-northwest-1', 'ap-east-1', 'me-south-1', 'me-central-1', 'ap-south-1', 'ap-south-2', 'af-south-1', 'eu-south-1', 'eu-south-2', 'ap-southeast-4', 'il-central-1', 'ca-west-1', 'ap-southeast-5', ], 'max' => 64, 'min' => 1, ], 'ResourceRecordSetWeight' => [ 'type' => 'long', 'max' => 255, 'min' => 0, ], 'ResourceRecordSets' => [ 'type' => 'list', 'member' => [ 'shape' => 'ResourceRecordSet', 'locationName' => 'ResourceRecordSet', ], ], 'ResourceRecords' => [ 'type' => 'list', 'member' => [ 'shape' => 'ResourceRecord', 'locationName' => 'ResourceRecord', ], 'min' => 1, ], 'ResourceTagSet' => [ 'type' => 'structure', 'members' => [ 'ResourceType' => [ 'shape' => 'TagResourceType', ], 'ResourceId' => [ 'shape' => 'TagResourceId', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'ResourceTagSetList' => [ 'type' => 'list', 'member' => [ 'shape' => 'ResourceTagSet', 'locationName' => 'ResourceTagSet', ], ], 'ResourceURI' => [ 'type' => 'string', 'max' => 1024, ], 'ReusableDelegationSetLimit' => [ 'type' => 'structure', 'required' => [ 'Type', 'Value', ], 'members' => [ 'Type' => [ 'shape' => 'ReusableDelegationSetLimitType', ], 'Value' => [ 'shape' => 'LimitValue', ], ], ], 'ReusableDelegationSetLimitType' => [ 'type' => 'string', 'enum' => [ 'MAX_ZONES_BY_REUSABLE_DELEGATION_SET', ], ], 'RoutingControlArn' => [ 'type' => 'string', 'max' => 255, 'min' => 1, ], 'SearchString' => [ 'type' => 'string', 'max' => 255, ], 'ServeSignature' => [ 'type' => 'string', 'max' => 1024, 'min' => 1, ], 'ServicePrincipal' => [ 'type' => 'string', 'max' => 128, ], 'SigningKeyInteger' => [ 'type' => 'integer', ], 'SigningKeyName' => [ 'type' => 'string', 'max' => 128, 'min' => 3, ], 'SigningKeyStatus' => [ 'type' => 'string', 'max' => 150, 'min' => 5, ], 'SigningKeyStatusMessage' => [ 'type' => 'string', 'max' => 512, 'min' => 0, ], 'SigningKeyString' => [ 'type' => 'string', ], 'SigningKeyTag' => [ 'type' => 'integer', 'max' => 65536, 'min' => 0, ], 'Statistic' => [ 'type' => 'string', 'enum' => [ 'Average', 'Sum', 'SampleCount', 'Maximum', 'Minimum', ], ], 'Status' => [ 'type' => 'string', ], 'StatusReport' => [ 'type' => 'structure', 'members' => [ 'Status' => [ 'shape' => 'Status', ], 'CheckedTime' => [ 'shape' => 'TimeStamp', ], ], ], 'SubnetMask' => [ 'type' => 'string', 'max' => 3, 'min' => 0, ], 'TTL' => [ 'type' => 'long', 'max' => 2147483647, 'min' => 0, ], 'Tag' => [ 'type' => 'structure', 'members' => [ 'Key' => [ 'shape' => 'TagKey', ], 'Value' => [ 'shape' => 'TagValue', ], ], ], 'TagKey' => [ 'type' => 'string', 'max' => 128, ], 'TagKeyList' => [ 'type' => 'list', 'member' => [ 'shape' => 'TagKey', 'locationName' => 'Key', ], 'max' => 10, 'min' => 1, ], 'TagList' => [ 'type' => 'list', 'member' => [ 'shape' => 'Tag', 'locationName' => 'Tag', ], 'max' => 10, 'min' => 1, ], 'TagResourceId' => [ 'type' => 'string', 'max' => 64, ], 'TagResourceIdList' => [ 'type' => 'list', 'member' => [ 'shape' => 'TagResourceId', 'locationName' => 'ResourceId', ], 'max' => 10, 'min' => 1, ], 'TagResourceType' => [ 'type' => 'string', 'enum' => [ 'healthcheck', 'hostedzone', ], ], 'TagValue' => [ 'type' => 'string', 'max' => 256, ], 'TestDNSAnswerRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'RecordName', 'RecordType', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'querystring', 'locationName' => 'hostedzoneid', ], 'RecordName' => [ 'shape' => 'DNSName', 'location' => 'querystring', 'locationName' => 'recordname', ], 'RecordType' => [ 'shape' => 'RRType', 'location' => 'querystring', 'locationName' => 'recordtype', ], 'ResolverIP' => [ 'shape' => 'IPAddress', 'location' => 'querystring', 'locationName' => 'resolverip', ], 'EDNS0ClientSubnetIP' => [ 'shape' => 'IPAddress', 'location' => 'querystring', 'locationName' => 'edns0clientsubnetip', ], 'EDNS0ClientSubnetMask' => [ 'shape' => 'SubnetMask', 'location' => 'querystring', 'locationName' => 'edns0clientsubnetmask', ], ], ], 'TestDNSAnswerResponse' => [ 'type' => 'structure', 'required' => [ 'Nameserver', 'RecordName', 'RecordType', 'RecordData', 'ResponseCode', 'Protocol', ], 'members' => [ 'Nameserver' => [ 'shape' => 'Nameserver', ], 'RecordName' => [ 'shape' => 'DNSName', ], 'RecordType' => [ 'shape' => 'RRType', ], 'RecordData' => [ 'shape' => 'RecordData', ], 'ResponseCode' => [ 'shape' => 'DNSRCode', ], 'Protocol' => [ 'shape' => 'TransportProtocol', ], ], ], 'Threshold' => [ 'type' => 'double', ], 'ThrottlingException' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'TimeStamp' => [ 'type' => 'timestamp', ], 'TooManyHealthChecks' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'TooManyHostedZones' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'TooManyKeySigningKeys' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'TooManyTrafficPolicies' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'TooManyTrafficPolicyInstances' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'TooManyTrafficPolicyVersionsForCurrentPolicy' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'TooManyVPCAssociationAuthorizations' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'TrafficPolicies' => [ 'type' => 'list', 'member' => [ 'shape' => 'TrafficPolicy', 'locationName' => 'TrafficPolicy', ], ], 'TrafficPolicy' => [ 'type' => 'structure', 'required' => [ 'Id', 'Version', 'Name', 'Type', 'Document', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyId', ], 'Version' => [ 'shape' => 'TrafficPolicyVersion', ], 'Name' => [ 'shape' => 'TrafficPolicyName', ], 'Type' => [ 'shape' => 'RRType', ], 'Document' => [ 'shape' => 'TrafficPolicyDocument', ], 'Comment' => [ 'shape' => 'TrafficPolicyComment', ], ], ], 'TrafficPolicyAlreadyExists' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 409, ], 'exception' => true, ], 'TrafficPolicyComment' => [ 'type' => 'string', 'max' => 1024, ], 'TrafficPolicyDocument' => [ 'type' => 'string', 'max' => 102400, ], 'TrafficPolicyId' => [ 'type' => 'string', 'max' => 36, 'min' => 1, ], 'TrafficPolicyInUse' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'TrafficPolicyInstance' => [ 'type' => 'structure', 'required' => [ 'Id', 'HostedZoneId', 'Name', 'TTL', 'State', 'Message', 'TrafficPolicyId', 'TrafficPolicyVersion', 'TrafficPolicyType', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyInstanceId', ], 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'Name' => [ 'shape' => 'DNSName', ], 'TTL' => [ 'shape' => 'TTL', ], 'State' => [ 'shape' => 'TrafficPolicyInstanceState', ], 'Message' => [ 'shape' => 'Message', ], 'TrafficPolicyId' => [ 'shape' => 'TrafficPolicyId', ], 'TrafficPolicyVersion' => [ 'shape' => 'TrafficPolicyVersion', ], 'TrafficPolicyType' => [ 'shape' => 'RRType', ], ], ], 'TrafficPolicyInstanceAlreadyExists' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 409, ], 'exception' => true, ], 'TrafficPolicyInstanceCount' => [ 'type' => 'integer', ], 'TrafficPolicyInstanceId' => [ 'type' => 'string', 'max' => 36, 'min' => 1, ], 'TrafficPolicyInstanceState' => [ 'type' => 'string', ], 'TrafficPolicyInstances' => [ 'type' => 'list', 'member' => [ 'shape' => 'TrafficPolicyInstance', 'locationName' => 'TrafficPolicyInstance', ], ], 'TrafficPolicyName' => [ 'type' => 'string', 'max' => 512, ], 'TrafficPolicySummaries' => [ 'type' => 'list', 'member' => [ 'shape' => 'TrafficPolicySummary', 'locationName' => 'TrafficPolicySummary', ], ], 'TrafficPolicySummary' => [ 'type' => 'structure', 'required' => [ 'Id', 'Name', 'Type', 'LatestVersion', 'TrafficPolicyCount', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyId', ], 'Name' => [ 'shape' => 'TrafficPolicyName', ], 'Type' => [ 'shape' => 'RRType', ], 'LatestVersion' => [ 'shape' => 'TrafficPolicyVersion', ], 'TrafficPolicyCount' => [ 'shape' => 'TrafficPolicyVersion', ], ], ], 'TrafficPolicyVersion' => [ 'type' => 'integer', 'max' => 1000, 'min' => 1, ], 'TrafficPolicyVersionMarker' => [ 'type' => 'string', 'max' => 4, ], 'TransportProtocol' => [ 'type' => 'string', ], 'UUID' => [ 'type' => 'string', 'pattern' => '[0-9a-f]{8}-(?:[0-9a-f]{4}-){3}[0-9a-f]{12}', ], 'UpdateHealthCheckRequest' => [ 'type' => 'structure', 'required' => [ 'HealthCheckId', ], 'members' => [ 'HealthCheckId' => [ 'shape' => 'HealthCheckId', 'location' => 'uri', 'locationName' => 'HealthCheckId', ], 'HealthCheckVersion' => [ 'shape' => 'HealthCheckVersion', ], 'IPAddress' => [ 'shape' => 'IPAddress', ], 'Port' => [ 'shape' => 'Port', ], 'ResourcePath' => [ 'shape' => 'ResourcePath', ], 'FullyQualifiedDomainName' => [ 'shape' => 'FullyQualifiedDomainName', ], 'SearchString' => [ 'shape' => 'SearchString', ], 'FailureThreshold' => [ 'shape' => 'FailureThreshold', ], 'Inverted' => [ 'shape' => 'Inverted', ], 'Disabled' => [ 'shape' => 'Disabled', ], 'HealthThreshold' => [ 'shape' => 'HealthThreshold', ], 'ChildHealthChecks' => [ 'shape' => 'ChildHealthCheckList', ], 'EnableSNI' => [ 'shape' => 'EnableSNI', ], 'Regions' => [ 'shape' => 'HealthCheckRegionList', ], 'AlarmIdentifier' => [ 'shape' => 'AlarmIdentifier', ], 'InsufficientDataHealthStatus' => [ 'shape' => 'InsufficientDataHealthStatus', ], 'ResetElements' => [ 'shape' => 'ResettableElementNameList', ], ], ], 'UpdateHealthCheckResponse' => [ 'type' => 'structure', 'required' => [ 'HealthCheck', ], 'members' => [ 'HealthCheck' => [ 'shape' => 'HealthCheck', ], ], ], 'UpdateHostedZoneCommentRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], 'Comment' => [ 'shape' => 'ResourceDescription', ], ], ], 'UpdateHostedZoneCommentResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZone', ], 'members' => [ 'HostedZone' => [ 'shape' => 'HostedZone', ], ], ], 'UpdateTrafficPolicyCommentRequest' => [ 'type' => 'structure', 'required' => [ 'Id', 'Version', 'Comment', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyId', 'location' => 'uri', 'locationName' => 'Id', ], 'Version' => [ 'shape' => 'TrafficPolicyVersion', 'location' => 'uri', 'locationName' => 'Version', ], 'Comment' => [ 'shape' => 'TrafficPolicyComment', ], ], ], 'UpdateTrafficPolicyCommentResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicy', ], 'members' => [ 'TrafficPolicy' => [ 'shape' => 'TrafficPolicy', ], ], ], 'UpdateTrafficPolicyInstanceRequest' => [ 'type' => 'structure', 'required' => [ 'Id', 'TTL', 'TrafficPolicyId', 'TrafficPolicyVersion', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyInstanceId', 'location' => 'uri', 'locationName' => 'Id', ], 'TTL' => [ 'shape' => 'TTL', ], 'TrafficPolicyId' => [ 'shape' => 'TrafficPolicyId', ], 'TrafficPolicyVersion' => [ 'shape' => 'TrafficPolicyVersion', ], ], ], 'UpdateTrafficPolicyInstanceResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicyInstance', ], 'members' => [ 'TrafficPolicyInstance' => [ 'shape' => 'TrafficPolicyInstance', ], ], ], 'UsageCount' => [ 'type' => 'long', 'min' => 0, ], 'VPC' => [ 'type' => 'structure', 'members' => [ 'VPCRegion' => [ 'shape' => 'VPCRegion', ], 'VPCId' => [ 'shape' => 'VPCId', ], ], ], 'VPCAssociationAuthorizationNotFound' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'VPCAssociationNotFound' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'VPCId' => [ 'type' => 'string', 'max' => 1024, ], 'VPCRegion' => [ 'type' => 'string', 'enum' => [ 'us-east-1', 'us-east-2', 'us-west-1', 'us-west-2', 'eu-west-1', 'eu-west-2', 'eu-west-3', 'eu-central-1', 'eu-central-2', 'ap-east-1', 'me-south-1', 'us-gov-west-1', 'us-gov-east-1', 'us-iso-east-1', 'us-iso-west-1', 'us-isob-east-1', 'me-central-1', 'ap-southeast-1', 'ap-southeast-2', 'ap-southeast-3', 'ap-south-1', 'ap-south-2', 'ap-northeast-1', 'ap-northeast-2', 'ap-northeast-3', 'eu-north-1', 'sa-east-1', 'ca-central-1', 'cn-north-1', 'cn-northwest-1', 'af-south-1', 'eu-south-1', 'eu-south-2', 'ap-southeast-4', 'il-central-1', 'ca-west-1', 'ap-southeast-5', ], 'max' => 64, 'min' => 1, ], 'VPCs' => [ 'type' => 'list', 'member' => [ 'shape' => 'VPC', 'locationName' => 'VPC', ], 'min' => 1, ], ],]; +return [ 'version' => '2.0', 'metadata' => [ 'apiVersion' => '2013-04-01', 'endpointPrefix' => 'route53', 'globalEndpoint' => 'route53.amazonaws.com', 'protocol' => 'rest-xml', 'protocols' => [ 'rest-xml', ], 'serviceAbbreviation' => 'Route 53', 'serviceFullName' => 'Amazon Route 53', 'serviceId' => 'Route 53', 'signatureVersion' => 'v4', 'uid' => 'route53-2013-04-01', 'auth' => [ 'aws.auth#sigv4', ], ], 'operations' => [ 'ActivateKeySigningKey' => [ 'name' => 'ActivateKeySigningKey', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/keysigningkey/{HostedZoneId}/{Name}/activate', ], 'input' => [ 'shape' => 'ActivateKeySigningKeyRequest', ], 'output' => [ 'shape' => 'ActivateKeySigningKeyResponse', ], 'errors' => [ [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'NoSuchKeySigningKey', ], [ 'shape' => 'InvalidKeySigningKeyStatus', ], [ 'shape' => 'InvalidSigningStatus', ], [ 'shape' => 'InvalidKMSArn', ], [ 'shape' => 'InvalidInput', ], ], ], 'AssociateVPCWithHostedZone' => [ 'name' => 'AssociateVPCWithHostedZone', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone/{Id}/associatevpc', ], 'input' => [ 'shape' => 'AssociateVPCWithHostedZoneRequest', 'locationName' => 'AssociateVPCWithHostedZoneRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'AssociateVPCWithHostedZoneResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'NotAuthorizedException', ], [ 'shape' => 'InvalidVPCId', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'PublicZoneVPCAssociation', ], [ 'shape' => 'ConflictingDomainExists', ], [ 'shape' => 'LimitsExceeded', ], [ 'shape' => 'PriorRequestNotComplete', ], ], ], 'ChangeCidrCollection' => [ 'name' => 'ChangeCidrCollection', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/cidrcollection/{CidrCollectionId}', ], 'input' => [ 'shape' => 'ChangeCidrCollectionRequest', 'locationName' => 'ChangeCidrCollectionRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'ChangeCidrCollectionResponse', ], 'errors' => [ [ 'shape' => 'NoSuchCidrCollectionException', ], [ 'shape' => 'CidrCollectionVersionMismatchException', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'CidrBlockInUseException', ], [ 'shape' => 'LimitsExceeded', ], [ 'shape' => 'ConcurrentModification', ], ], ], 'ChangeResourceRecordSets' => [ 'name' => 'ChangeResourceRecordSets', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone/{Id}/rrset/', ], 'input' => [ 'shape' => 'ChangeResourceRecordSetsRequest', 'locationName' => 'ChangeResourceRecordSetsRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'ChangeResourceRecordSetsResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'InvalidChangeBatch', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'PriorRequestNotComplete', ], ], ], 'ChangeTagsForResource' => [ 'name' => 'ChangeTagsForResource', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/tags/{ResourceType}/{ResourceId}', ], 'input' => [ 'shape' => 'ChangeTagsForResourceRequest', 'locationName' => 'ChangeTagsForResourceRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'ChangeTagsForResourceResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'PriorRequestNotComplete', ], [ 'shape' => 'ThrottlingException', ], ], ], 'CreateCidrCollection' => [ 'name' => 'CreateCidrCollection', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/cidrcollection', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateCidrCollectionRequest', 'locationName' => 'CreateCidrCollectionRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateCidrCollectionResponse', ], 'errors' => [ [ 'shape' => 'LimitsExceeded', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'CidrCollectionAlreadyExistsException', ], [ 'shape' => 'ConcurrentModification', ], ], ], 'CreateHealthCheck' => [ 'name' => 'CreateHealthCheck', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/healthcheck', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateHealthCheckRequest', 'locationName' => 'CreateHealthCheckRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateHealthCheckResponse', ], 'errors' => [ [ 'shape' => 'TooManyHealthChecks', ], [ 'shape' => 'HealthCheckAlreadyExists', ], [ 'shape' => 'InvalidInput', ], ], ], 'CreateHostedZone' => [ 'name' => 'CreateHostedZone', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateHostedZoneRequest', 'locationName' => 'CreateHostedZoneRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateHostedZoneResponse', ], 'errors' => [ [ 'shape' => 'InvalidDomainName', ], [ 'shape' => 'HostedZoneAlreadyExists', ], [ 'shape' => 'TooManyHostedZones', ], [ 'shape' => 'InvalidVPCId', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'DelegationSetNotAvailable', ], [ 'shape' => 'ConflictingDomainExists', ], [ 'shape' => 'NoSuchDelegationSet', ], [ 'shape' => 'DelegationSetNotReusable', ], ], ], 'CreateKeySigningKey' => [ 'name' => 'CreateKeySigningKey', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/keysigningkey', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateKeySigningKeyRequest', 'locationName' => 'CreateKeySigningKeyRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateKeySigningKeyResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidArgument', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'InvalidKMSArn', ], [ 'shape' => 'InvalidKeySigningKeyStatus', ], [ 'shape' => 'InvalidSigningStatus', ], [ 'shape' => 'InvalidKeySigningKeyName', ], [ 'shape' => 'KeySigningKeyAlreadyExists', ], [ 'shape' => 'TooManyKeySigningKeys', ], [ 'shape' => 'ConcurrentModification', ], ], ], 'CreateQueryLoggingConfig' => [ 'name' => 'CreateQueryLoggingConfig', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/queryloggingconfig', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateQueryLoggingConfigRequest', 'locationName' => 'CreateQueryLoggingConfigRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateQueryLoggingConfigResponse', ], 'errors' => [ [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'NoSuchCloudWatchLogsLogGroup', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'QueryLoggingConfigAlreadyExists', ], [ 'shape' => 'InsufficientCloudWatchLogsResourcePolicy', ], ], ], 'CreateReusableDelegationSet' => [ 'name' => 'CreateReusableDelegationSet', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/delegationset', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateReusableDelegationSetRequest', 'locationName' => 'CreateReusableDelegationSetRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateReusableDelegationSetResponse', ], 'errors' => [ [ 'shape' => 'DelegationSetAlreadyCreated', ], [ 'shape' => 'LimitsExceeded', ], [ 'shape' => 'HostedZoneNotFound', ], [ 'shape' => 'InvalidArgument', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'DelegationSetNotAvailable', ], [ 'shape' => 'DelegationSetAlreadyReusable', ], ], ], 'CreateTrafficPolicy' => [ 'name' => 'CreateTrafficPolicy', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/trafficpolicy', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateTrafficPolicyRequest', 'locationName' => 'CreateTrafficPolicyRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateTrafficPolicyResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'TooManyTrafficPolicies', ], [ 'shape' => 'TrafficPolicyAlreadyExists', ], [ 'shape' => 'InvalidTrafficPolicyDocument', ], ], ], 'CreateTrafficPolicyInstance' => [ 'name' => 'CreateTrafficPolicyInstance', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/trafficpolicyinstance', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateTrafficPolicyInstanceRequest', 'locationName' => 'CreateTrafficPolicyInstanceRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateTrafficPolicyInstanceResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'TooManyTrafficPolicyInstances', ], [ 'shape' => 'NoSuchTrafficPolicy', ], [ 'shape' => 'TrafficPolicyInstanceAlreadyExists', ], ], ], 'CreateTrafficPolicyVersion' => [ 'name' => 'CreateTrafficPolicyVersion', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/trafficpolicy/{Id}', 'responseCode' => 201, ], 'input' => [ 'shape' => 'CreateTrafficPolicyVersionRequest', 'locationName' => 'CreateTrafficPolicyVersionRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateTrafficPolicyVersionResponse', ], 'errors' => [ [ 'shape' => 'NoSuchTrafficPolicy', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'TooManyTrafficPolicyVersionsForCurrentPolicy', ], [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'InvalidTrafficPolicyDocument', ], ], ], 'CreateVPCAssociationAuthorization' => [ 'name' => 'CreateVPCAssociationAuthorization', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone/{Id}/authorizevpcassociation', ], 'input' => [ 'shape' => 'CreateVPCAssociationAuthorizationRequest', 'locationName' => 'CreateVPCAssociationAuthorizationRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'CreateVPCAssociationAuthorizationResponse', ], 'errors' => [ [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'TooManyVPCAssociationAuthorizations', ], [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidVPCId', ], [ 'shape' => 'InvalidInput', ], ], ], 'DeactivateKeySigningKey' => [ 'name' => 'DeactivateKeySigningKey', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/keysigningkey/{HostedZoneId}/{Name}/deactivate', ], 'input' => [ 'shape' => 'DeactivateKeySigningKeyRequest', ], 'output' => [ 'shape' => 'DeactivateKeySigningKeyResponse', ], 'errors' => [ [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'NoSuchKeySigningKey', ], [ 'shape' => 'InvalidKeySigningKeyStatus', ], [ 'shape' => 'InvalidSigningStatus', ], [ 'shape' => 'KeySigningKeyInUse', ], [ 'shape' => 'KeySigningKeyInParentDSRecord', ], [ 'shape' => 'InvalidInput', ], ], ], 'DeleteCidrCollection' => [ 'name' => 'DeleteCidrCollection', 'http' => [ 'method' => 'DELETE', 'requestUri' => '/2013-04-01/cidrcollection/{CidrCollectionId}', ], 'input' => [ 'shape' => 'DeleteCidrCollectionRequest', ], 'output' => [ 'shape' => 'DeleteCidrCollectionResponse', ], 'errors' => [ [ 'shape' => 'NoSuchCidrCollectionException', ], [ 'shape' => 'CidrCollectionInUseException', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'ConcurrentModification', ], ], ], 'DeleteHealthCheck' => [ 'name' => 'DeleteHealthCheck', 'http' => [ 'method' => 'DELETE', 'requestUri' => '/2013-04-01/healthcheck/{HealthCheckId}', ], 'input' => [ 'shape' => 'DeleteHealthCheckRequest', ], 'output' => [ 'shape' => 'DeleteHealthCheckResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'HealthCheckInUse', ], [ 'shape' => 'InvalidInput', ], ], ], 'DeleteHostedZone' => [ 'name' => 'DeleteHostedZone', 'http' => [ 'method' => 'DELETE', 'requestUri' => '/2013-04-01/hostedzone/{Id}', ], 'input' => [ 'shape' => 'DeleteHostedZoneRequest', ], 'output' => [ 'shape' => 'DeleteHostedZoneResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'HostedZoneNotEmpty', ], [ 'shape' => 'PriorRequestNotComplete', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'InvalidDomainName', ], ], ], 'DeleteKeySigningKey' => [ 'name' => 'DeleteKeySigningKey', 'http' => [ 'method' => 'DELETE', 'requestUri' => '/2013-04-01/keysigningkey/{HostedZoneId}/{Name}', ], 'input' => [ 'shape' => 'DeleteKeySigningKeyRequest', ], 'output' => [ 'shape' => 'DeleteKeySigningKeyResponse', ], 'errors' => [ [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'NoSuchKeySigningKey', ], [ 'shape' => 'InvalidKeySigningKeyStatus', ], [ 'shape' => 'InvalidSigningStatus', ], [ 'shape' => 'InvalidKMSArn', ], [ 'shape' => 'InvalidInput', ], ], ], 'DeleteQueryLoggingConfig' => [ 'name' => 'DeleteQueryLoggingConfig', 'http' => [ 'method' => 'DELETE', 'requestUri' => '/2013-04-01/queryloggingconfig/{Id}', ], 'input' => [ 'shape' => 'DeleteQueryLoggingConfigRequest', ], 'output' => [ 'shape' => 'DeleteQueryLoggingConfigResponse', ], 'errors' => [ [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'NoSuchQueryLoggingConfig', ], [ 'shape' => 'InvalidInput', ], ], ], 'DeleteReusableDelegationSet' => [ 'name' => 'DeleteReusableDelegationSet', 'http' => [ 'method' => 'DELETE', 'requestUri' => '/2013-04-01/delegationset/{Id}', ], 'input' => [ 'shape' => 'DeleteReusableDelegationSetRequest', ], 'output' => [ 'shape' => 'DeleteReusableDelegationSetResponse', ], 'errors' => [ [ 'shape' => 'NoSuchDelegationSet', ], [ 'shape' => 'DelegationSetInUse', ], [ 'shape' => 'DelegationSetNotReusable', ], [ 'shape' => 'InvalidInput', ], ], ], 'DeleteTrafficPolicy' => [ 'name' => 'DeleteTrafficPolicy', 'http' => [ 'method' => 'DELETE', 'requestUri' => '/2013-04-01/trafficpolicy/{Id}/{Version}', ], 'input' => [ 'shape' => 'DeleteTrafficPolicyRequest', ], 'output' => [ 'shape' => 'DeleteTrafficPolicyResponse', ], 'errors' => [ [ 'shape' => 'NoSuchTrafficPolicy', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'TrafficPolicyInUse', ], [ 'shape' => 'ConcurrentModification', ], ], ], 'DeleteTrafficPolicyInstance' => [ 'name' => 'DeleteTrafficPolicyInstance', 'http' => [ 'method' => 'DELETE', 'requestUri' => '/2013-04-01/trafficpolicyinstance/{Id}', ], 'input' => [ 'shape' => 'DeleteTrafficPolicyInstanceRequest', ], 'output' => [ 'shape' => 'DeleteTrafficPolicyInstanceResponse', ], 'errors' => [ [ 'shape' => 'NoSuchTrafficPolicyInstance', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'PriorRequestNotComplete', ], ], ], 'DeleteVPCAssociationAuthorization' => [ 'name' => 'DeleteVPCAssociationAuthorization', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone/{Id}/deauthorizevpcassociation', ], 'input' => [ 'shape' => 'DeleteVPCAssociationAuthorizationRequest', 'locationName' => 'DeleteVPCAssociationAuthorizationRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'DeleteVPCAssociationAuthorizationResponse', ], 'errors' => [ [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'VPCAssociationAuthorizationNotFound', ], [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidVPCId', ], [ 'shape' => 'InvalidInput', ], ], ], 'DisableHostedZoneDNSSEC' => [ 'name' => 'DisableHostedZoneDNSSEC', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone/{Id}/disable-dnssec', ], 'input' => [ 'shape' => 'DisableHostedZoneDNSSECRequest', ], 'output' => [ 'shape' => 'DisableHostedZoneDNSSECResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidArgument', ], [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'KeySigningKeyInParentDSRecord', ], [ 'shape' => 'DNSSECNotFound', ], [ 'shape' => 'InvalidKeySigningKeyStatus', ], [ 'shape' => 'InvalidKMSArn', ], [ 'shape' => 'InvalidInput', ], ], ], 'DisassociateVPCFromHostedZone' => [ 'name' => 'DisassociateVPCFromHostedZone', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone/{Id}/disassociatevpc', ], 'input' => [ 'shape' => 'DisassociateVPCFromHostedZoneRequest', 'locationName' => 'DisassociateVPCFromHostedZoneRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'DisassociateVPCFromHostedZoneResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidVPCId', ], [ 'shape' => 'VPCAssociationNotFound', ], [ 'shape' => 'LastVPCAssociation', ], [ 'shape' => 'InvalidInput', ], ], ], 'EnableHostedZoneDNSSEC' => [ 'name' => 'EnableHostedZoneDNSSEC', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone/{Id}/enable-dnssec', ], 'input' => [ 'shape' => 'EnableHostedZoneDNSSECRequest', ], 'output' => [ 'shape' => 'EnableHostedZoneDNSSECResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidArgument', ], [ 'shape' => 'ConcurrentModification', ], [ 'shape' => 'KeySigningKeyWithActiveStatusNotFound', ], [ 'shape' => 'InvalidKMSArn', ], [ 'shape' => 'HostedZonePartiallyDelegated', ], [ 'shape' => 'DNSSECNotFound', ], [ 'shape' => 'InvalidKeySigningKeyStatus', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetAccountLimit' => [ 'name' => 'GetAccountLimit', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/accountlimit/{Type}', ], 'input' => [ 'shape' => 'GetAccountLimitRequest', ], 'output' => [ 'shape' => 'GetAccountLimitResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], ], ], 'GetChange' => [ 'name' => 'GetChange', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/change/{Id}', ], 'input' => [ 'shape' => 'GetChangeRequest', ], 'output' => [ 'shape' => 'GetChangeResponse', ], 'errors' => [ [ 'shape' => 'NoSuchChange', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetCheckerIpRanges' => [ 'name' => 'GetCheckerIpRanges', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/checkeripranges', ], 'input' => [ 'shape' => 'GetCheckerIpRangesRequest', ], 'output' => [ 'shape' => 'GetCheckerIpRangesResponse', ], ], 'GetDNSSEC' => [ 'name' => 'GetDNSSEC', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzone/{Id}/dnssec', ], 'input' => [ 'shape' => 'GetDNSSECRequest', ], 'output' => [ 'shape' => 'GetDNSSECResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidArgument', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetGeoLocation' => [ 'name' => 'GetGeoLocation', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/geolocation', ], 'input' => [ 'shape' => 'GetGeoLocationRequest', ], 'output' => [ 'shape' => 'GetGeoLocationResponse', ], 'errors' => [ [ 'shape' => 'NoSuchGeoLocation', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetHealthCheck' => [ 'name' => 'GetHealthCheck', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/healthcheck/{HealthCheckId}', ], 'input' => [ 'shape' => 'GetHealthCheckRequest', ], 'output' => [ 'shape' => 'GetHealthCheckResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'IncompatibleVersion', ], ], ], 'GetHealthCheckCount' => [ 'name' => 'GetHealthCheckCount', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/healthcheckcount', ], 'input' => [ 'shape' => 'GetHealthCheckCountRequest', ], 'output' => [ 'shape' => 'GetHealthCheckCountResponse', ], ], 'GetHealthCheckLastFailureReason' => [ 'name' => 'GetHealthCheckLastFailureReason', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/healthcheck/{HealthCheckId}/lastfailurereason', ], 'input' => [ 'shape' => 'GetHealthCheckLastFailureReasonRequest', ], 'output' => [ 'shape' => 'GetHealthCheckLastFailureReasonResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetHealthCheckStatus' => [ 'name' => 'GetHealthCheckStatus', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/healthcheck/{HealthCheckId}/status', ], 'input' => [ 'shape' => 'GetHealthCheckStatusRequest', ], 'output' => [ 'shape' => 'GetHealthCheckStatusResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetHostedZone' => [ 'name' => 'GetHostedZone', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzone/{Id}', ], 'input' => [ 'shape' => 'GetHostedZoneRequest', ], 'output' => [ 'shape' => 'GetHostedZoneResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetHostedZoneCount' => [ 'name' => 'GetHostedZoneCount', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzonecount', ], 'input' => [ 'shape' => 'GetHostedZoneCountRequest', ], 'output' => [ 'shape' => 'GetHostedZoneCountResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], ], ], 'GetHostedZoneLimit' => [ 'name' => 'GetHostedZoneLimit', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzonelimit/{Id}/{Type}', ], 'input' => [ 'shape' => 'GetHostedZoneLimitRequest', ], 'output' => [ 'shape' => 'GetHostedZoneLimitResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'HostedZoneNotPrivate', ], ], ], 'GetQueryLoggingConfig' => [ 'name' => 'GetQueryLoggingConfig', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/queryloggingconfig/{Id}', ], 'input' => [ 'shape' => 'GetQueryLoggingConfigRequest', ], 'output' => [ 'shape' => 'GetQueryLoggingConfigResponse', ], 'errors' => [ [ 'shape' => 'NoSuchQueryLoggingConfig', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetReusableDelegationSet' => [ 'name' => 'GetReusableDelegationSet', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/delegationset/{Id}', ], 'input' => [ 'shape' => 'GetReusableDelegationSetRequest', ], 'output' => [ 'shape' => 'GetReusableDelegationSetResponse', ], 'errors' => [ [ 'shape' => 'NoSuchDelegationSet', ], [ 'shape' => 'DelegationSetNotReusable', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetReusableDelegationSetLimit' => [ 'name' => 'GetReusableDelegationSetLimit', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/reusabledelegationsetlimit/{Id}/{Type}', ], 'input' => [ 'shape' => 'GetReusableDelegationSetLimitRequest', ], 'output' => [ 'shape' => 'GetReusableDelegationSetLimitResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchDelegationSet', ], ], ], 'GetTrafficPolicy' => [ 'name' => 'GetTrafficPolicy', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/trafficpolicy/{Id}/{Version}', ], 'input' => [ 'shape' => 'GetTrafficPolicyRequest', ], 'output' => [ 'shape' => 'GetTrafficPolicyResponse', ], 'errors' => [ [ 'shape' => 'NoSuchTrafficPolicy', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetTrafficPolicyInstance' => [ 'name' => 'GetTrafficPolicyInstance', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/trafficpolicyinstance/{Id}', ], 'input' => [ 'shape' => 'GetTrafficPolicyInstanceRequest', ], 'output' => [ 'shape' => 'GetTrafficPolicyInstanceResponse', ], 'errors' => [ [ 'shape' => 'NoSuchTrafficPolicyInstance', ], [ 'shape' => 'InvalidInput', ], ], ], 'GetTrafficPolicyInstanceCount' => [ 'name' => 'GetTrafficPolicyInstanceCount', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/trafficpolicyinstancecount', ], 'input' => [ 'shape' => 'GetTrafficPolicyInstanceCountRequest', ], 'output' => [ 'shape' => 'GetTrafficPolicyInstanceCountResponse', ], ], 'ListCidrBlocks' => [ 'name' => 'ListCidrBlocks', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/cidrcollection/{CidrCollectionId}/cidrblocks', ], 'input' => [ 'shape' => 'ListCidrBlocksRequest', ], 'output' => [ 'shape' => 'ListCidrBlocksResponse', ], 'errors' => [ [ 'shape' => 'NoSuchCidrCollectionException', ], [ 'shape' => 'NoSuchCidrLocationException', ], [ 'shape' => 'InvalidInput', ], ], ], 'ListCidrCollections' => [ 'name' => 'ListCidrCollections', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/cidrcollection', ], 'input' => [ 'shape' => 'ListCidrCollectionsRequest', ], 'output' => [ 'shape' => 'ListCidrCollectionsResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], ], ], 'ListCidrLocations' => [ 'name' => 'ListCidrLocations', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/cidrcollection/{CidrCollectionId}', ], 'input' => [ 'shape' => 'ListCidrLocationsRequest', ], 'output' => [ 'shape' => 'ListCidrLocationsResponse', ], 'errors' => [ [ 'shape' => 'NoSuchCidrCollectionException', ], [ 'shape' => 'InvalidInput', ], ], ], 'ListGeoLocations' => [ 'name' => 'ListGeoLocations', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/geolocations', ], 'input' => [ 'shape' => 'ListGeoLocationsRequest', ], 'output' => [ 'shape' => 'ListGeoLocationsResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], ], ], 'ListHealthChecks' => [ 'name' => 'ListHealthChecks', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/healthcheck', ], 'input' => [ 'shape' => 'ListHealthChecksRequest', ], 'output' => [ 'shape' => 'ListHealthChecksResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'IncompatibleVersion', ], ], ], 'ListHostedZones' => [ 'name' => 'ListHostedZones', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzone', ], 'input' => [ 'shape' => 'ListHostedZonesRequest', ], 'output' => [ 'shape' => 'ListHostedZonesResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchDelegationSet', ], [ 'shape' => 'DelegationSetNotReusable', ], ], ], 'ListHostedZonesByName' => [ 'name' => 'ListHostedZonesByName', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzonesbyname', ], 'input' => [ 'shape' => 'ListHostedZonesByNameRequest', ], 'output' => [ 'shape' => 'ListHostedZonesByNameResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'InvalidDomainName', ], ], ], 'ListHostedZonesByVPC' => [ 'name' => 'ListHostedZonesByVPC', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzonesbyvpc', ], 'input' => [ 'shape' => 'ListHostedZonesByVPCRequest', ], 'output' => [ 'shape' => 'ListHostedZonesByVPCResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'InvalidPaginationToken', ], ], ], 'ListQueryLoggingConfigs' => [ 'name' => 'ListQueryLoggingConfigs', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/queryloggingconfig', ], 'input' => [ 'shape' => 'ListQueryLoggingConfigsRequest', ], 'output' => [ 'shape' => 'ListQueryLoggingConfigsResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'InvalidPaginationToken', ], [ 'shape' => 'NoSuchHostedZone', ], ], ], 'ListResourceRecordSets' => [ 'name' => 'ListResourceRecordSets', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzone/{Id}/rrset', ], 'input' => [ 'shape' => 'ListResourceRecordSetsRequest', ], 'output' => [ 'shape' => 'ListResourceRecordSetsResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidInput', ], ], ], 'ListReusableDelegationSets' => [ 'name' => 'ListReusableDelegationSets', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/delegationset', ], 'input' => [ 'shape' => 'ListReusableDelegationSetsRequest', ], 'output' => [ 'shape' => 'ListReusableDelegationSetsResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], ], ], 'ListTagsForResource' => [ 'name' => 'ListTagsForResource', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/tags/{ResourceType}/{ResourceId}', ], 'input' => [ 'shape' => 'ListTagsForResourceRequest', ], 'output' => [ 'shape' => 'ListTagsForResourceResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'PriorRequestNotComplete', ], [ 'shape' => 'ThrottlingException', ], ], ], 'ListTagsForResources' => [ 'name' => 'ListTagsForResources', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/tags/{ResourceType}', ], 'input' => [ 'shape' => 'ListTagsForResourcesRequest', 'locationName' => 'ListTagsForResourcesRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'ListTagsForResourcesResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'PriorRequestNotComplete', ], [ 'shape' => 'ThrottlingException', ], ], ], 'ListTrafficPolicies' => [ 'name' => 'ListTrafficPolicies', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/trafficpolicies', ], 'input' => [ 'shape' => 'ListTrafficPoliciesRequest', ], 'output' => [ 'shape' => 'ListTrafficPoliciesResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], ], ], 'ListTrafficPolicyInstances' => [ 'name' => 'ListTrafficPolicyInstances', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/trafficpolicyinstances', ], 'input' => [ 'shape' => 'ListTrafficPolicyInstancesRequest', ], 'output' => [ 'shape' => 'ListTrafficPolicyInstancesResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchTrafficPolicyInstance', ], ], ], 'ListTrafficPolicyInstancesByHostedZone' => [ 'name' => 'ListTrafficPolicyInstancesByHostedZone', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/trafficpolicyinstances/hostedzone', ], 'input' => [ 'shape' => 'ListTrafficPolicyInstancesByHostedZoneRequest', ], 'output' => [ 'shape' => 'ListTrafficPolicyInstancesByHostedZoneResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchTrafficPolicyInstance', ], [ 'shape' => 'NoSuchHostedZone', ], ], ], 'ListTrafficPolicyInstancesByPolicy' => [ 'name' => 'ListTrafficPolicyInstancesByPolicy', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/trafficpolicyinstances/trafficpolicy', ], 'input' => [ 'shape' => 'ListTrafficPolicyInstancesByPolicyRequest', ], 'output' => [ 'shape' => 'ListTrafficPolicyInstancesByPolicyResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchTrafficPolicyInstance', ], [ 'shape' => 'NoSuchTrafficPolicy', ], ], ], 'ListTrafficPolicyVersions' => [ 'name' => 'ListTrafficPolicyVersions', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/trafficpolicies/{Id}/versions', ], 'input' => [ 'shape' => 'ListTrafficPolicyVersionsRequest', ], 'output' => [ 'shape' => 'ListTrafficPolicyVersionsResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchTrafficPolicy', ], ], ], 'ListVPCAssociationAuthorizations' => [ 'name' => 'ListVPCAssociationAuthorizations', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/hostedzone/{Id}/authorizevpcassociation', ], 'input' => [ 'shape' => 'ListVPCAssociationAuthorizationsRequest', ], 'output' => [ 'shape' => 'ListVPCAssociationAuthorizationsResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'InvalidPaginationToken', ], ], ], 'TestDNSAnswer' => [ 'name' => 'TestDNSAnswer', 'http' => [ 'method' => 'GET', 'requestUri' => '/2013-04-01/testdnsanswer', ], 'input' => [ 'shape' => 'TestDNSAnswerRequest', ], 'output' => [ 'shape' => 'TestDNSAnswerResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidInput', ], ], ], 'UpdateHealthCheck' => [ 'name' => 'UpdateHealthCheck', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/healthcheck/{HealthCheckId}', ], 'input' => [ 'shape' => 'UpdateHealthCheckRequest', 'locationName' => 'UpdateHealthCheckRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'UpdateHealthCheckResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHealthCheck', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'HealthCheckVersionMismatch', ], ], ], 'UpdateHostedZoneComment' => [ 'name' => 'UpdateHostedZoneComment', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/hostedzone/{Id}', ], 'input' => [ 'shape' => 'UpdateHostedZoneCommentRequest', 'locationName' => 'UpdateHostedZoneCommentRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'UpdateHostedZoneCommentResponse', ], 'errors' => [ [ 'shape' => 'NoSuchHostedZone', ], [ 'shape' => 'InvalidInput', ], [ 'shape' => 'PriorRequestNotComplete', ], ], ], 'UpdateTrafficPolicyComment' => [ 'name' => 'UpdateTrafficPolicyComment', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/trafficpolicy/{Id}/{Version}', ], 'input' => [ 'shape' => 'UpdateTrafficPolicyCommentRequest', 'locationName' => 'UpdateTrafficPolicyCommentRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'UpdateTrafficPolicyCommentResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchTrafficPolicy', ], [ 'shape' => 'ConcurrentModification', ], ], ], 'UpdateTrafficPolicyInstance' => [ 'name' => 'UpdateTrafficPolicyInstance', 'http' => [ 'method' => 'POST', 'requestUri' => '/2013-04-01/trafficpolicyinstance/{Id}', ], 'input' => [ 'shape' => 'UpdateTrafficPolicyInstanceRequest', 'locationName' => 'UpdateTrafficPolicyInstanceRequest', 'xmlNamespace' => [ 'uri' => 'https://route53.amazonaws.com/doc/2013-04-01/', ], ], 'output' => [ 'shape' => 'UpdateTrafficPolicyInstanceResponse', ], 'errors' => [ [ 'shape' => 'InvalidInput', ], [ 'shape' => 'NoSuchTrafficPolicy', ], [ 'shape' => 'NoSuchTrafficPolicyInstance', ], [ 'shape' => 'PriorRequestNotComplete', ], [ 'shape' => 'ConflictingTypes', ], ], ], ], 'shapes' => [ 'ARN' => [ 'type' => 'string', 'max' => 2048, 'min' => 20, 'pattern' => '.*\\S.*', ], 'AWSAccountID' => [ 'type' => 'string', ], 'AWSRegion' => [ 'type' => 'string', 'max' => 64, 'min' => 1, ], 'AccountLimit' => [ 'type' => 'structure', 'required' => [ 'Type', 'Value', ], 'members' => [ 'Type' => [ 'shape' => 'AccountLimitType', ], 'Value' => [ 'shape' => 'LimitValue', ], ], ], 'AccountLimitType' => [ 'type' => 'string', 'enum' => [ 'MAX_HEALTH_CHECKS_BY_OWNER', 'MAX_HOSTED_ZONES_BY_OWNER', 'MAX_TRAFFIC_POLICY_INSTANCES_BY_OWNER', 'MAX_REUSABLE_DELEGATION_SETS_BY_OWNER', 'MAX_TRAFFIC_POLICIES_BY_OWNER', ], ], 'ActivateKeySigningKeyRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'Name', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'HostedZoneId', ], 'Name' => [ 'shape' => 'SigningKeyName', 'location' => 'uri', 'locationName' => 'Name', ], ], ], 'ActivateKeySigningKeyResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'AlarmIdentifier' => [ 'type' => 'structure', 'required' => [ 'Region', 'Name', ], 'members' => [ 'Region' => [ 'shape' => 'CloudWatchRegion', ], 'Name' => [ 'shape' => 'AlarmName', ], ], ], 'AlarmName' => [ 'type' => 'string', 'max' => 256, 'min' => 1, ], 'AliasHealthEnabled' => [ 'type' => 'boolean', ], 'AliasTarget' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'DNSName', 'EvaluateTargetHealth', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'DNSName' => [ 'shape' => 'DNSName', ], 'EvaluateTargetHealth' => [ 'shape' => 'AliasHealthEnabled', ], ], ], 'AssociateVPCComment' => [ 'type' => 'string', ], 'AssociateVPCWithHostedZoneRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'VPC', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], 'VPC' => [ 'shape' => 'VPC', ], 'Comment' => [ 'shape' => 'AssociateVPCComment', ], ], ], 'AssociateVPCWithHostedZoneResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'Bias' => [ 'type' => 'integer', 'max' => 99, 'min' => -99, ], 'Change' => [ 'type' => 'structure', 'required' => [ 'Action', 'ResourceRecordSet', ], 'members' => [ 'Action' => [ 'shape' => 'ChangeAction', ], 'ResourceRecordSet' => [ 'shape' => 'ResourceRecordSet', ], ], ], 'ChangeAction' => [ 'type' => 'string', 'enum' => [ 'CREATE', 'DELETE', 'UPSERT', ], ], 'ChangeBatch' => [ 'type' => 'structure', 'required' => [ 'Changes', ], 'members' => [ 'Comment' => [ 'shape' => 'ResourceDescription', ], 'Changes' => [ 'shape' => 'Changes', ], ], ], 'ChangeCidrCollectionRequest' => [ 'type' => 'structure', 'required' => [ 'Id', 'Changes', ], 'members' => [ 'Id' => [ 'shape' => 'UUID', 'location' => 'uri', 'locationName' => 'CidrCollectionId', ], 'CollectionVersion' => [ 'shape' => 'CollectionVersion', ], 'Changes' => [ 'shape' => 'CidrCollectionChanges', ], ], ], 'ChangeCidrCollectionResponse' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'ChangeId', ], ], ], 'ChangeId' => [ 'type' => 'string', 'max' => 6500, 'min' => 1, ], 'ChangeInfo' => [ 'type' => 'structure', 'required' => [ 'Id', 'Status', 'SubmittedAt', ], 'members' => [ 'Id' => [ 'shape' => 'ResourceId', ], 'Status' => [ 'shape' => 'ChangeStatus', ], 'SubmittedAt' => [ 'shape' => 'TimeStamp', ], 'Comment' => [ 'shape' => 'ResourceDescription', ], ], ], 'ChangeResourceRecordSetsRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'ChangeBatch', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], 'ChangeBatch' => [ 'shape' => 'ChangeBatch', ], ], ], 'ChangeResourceRecordSetsResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'ChangeStatus' => [ 'type' => 'string', 'enum' => [ 'PENDING', 'INSYNC', ], ], 'ChangeTagsForResourceRequest' => [ 'type' => 'structure', 'required' => [ 'ResourceType', 'ResourceId', ], 'members' => [ 'ResourceType' => [ 'shape' => 'TagResourceType', 'location' => 'uri', 'locationName' => 'ResourceType', ], 'ResourceId' => [ 'shape' => 'TagResourceId', 'location' => 'uri', 'locationName' => 'ResourceId', ], 'AddTags' => [ 'shape' => 'TagList', ], 'RemoveTagKeys' => [ 'shape' => 'TagKeyList', ], ], ], 'ChangeTagsForResourceResponse' => [ 'type' => 'structure', 'members' => [], ], 'Changes' => [ 'type' => 'list', 'member' => [ 'shape' => 'Change', 'locationName' => 'Change', ], 'min' => 1, ], 'CheckerIpRanges' => [ 'type' => 'list', 'member' => [ 'shape' => 'IPAddressCidr', ], ], 'ChildHealthCheckList' => [ 'type' => 'list', 'member' => [ 'shape' => 'HealthCheckId', 'locationName' => 'ChildHealthCheck', ], 'max' => 256, ], 'Cidr' => [ 'type' => 'string', 'max' => 50, 'min' => 1, 'pattern' => '.*\\S.*', ], 'CidrBlockInUseException' => [ 'type' => 'structure', 'members' => [ 'Message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'CidrBlockSummaries' => [ 'type' => 'list', 'member' => [ 'shape' => 'CidrBlockSummary', ], ], 'CidrBlockSummary' => [ 'type' => 'structure', 'members' => [ 'CidrBlock' => [ 'shape' => 'Cidr', ], 'LocationName' => [ 'shape' => 'CidrLocationNameDefaultNotAllowed', ], ], ], 'CidrCollection' => [ 'type' => 'structure', 'members' => [ 'Arn' => [ 'shape' => 'ARN', ], 'Id' => [ 'shape' => 'UUID', ], 'Name' => [ 'shape' => 'CollectionName', ], 'Version' => [ 'shape' => 'CollectionVersion', ], ], ], 'CidrCollectionAlreadyExistsException' => [ 'type' => 'structure', 'members' => [ 'Message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'CidrCollectionChange' => [ 'type' => 'structure', 'required' => [ 'LocationName', 'Action', 'CidrList', ], 'members' => [ 'LocationName' => [ 'shape' => 'CidrLocationNameDefaultNotAllowed', ], 'Action' => [ 'shape' => 'CidrCollectionChangeAction', ], 'CidrList' => [ 'shape' => 'CidrList', ], ], ], 'CidrCollectionChangeAction' => [ 'type' => 'string', 'enum' => [ 'PUT', 'DELETE_IF_EXISTS', ], ], 'CidrCollectionChanges' => [ 'type' => 'list', 'member' => [ 'shape' => 'CidrCollectionChange', ], 'max' => 1000, 'min' => 1, ], 'CidrCollectionInUseException' => [ 'type' => 'structure', 'members' => [ 'Message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'CidrCollectionVersionMismatchException' => [ 'type' => 'structure', 'members' => [ 'Message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 409, ], 'exception' => true, ], 'CidrList' => [ 'type' => 'list', 'member' => [ 'shape' => 'Cidr', 'locationName' => 'Cidr', ], 'max' => 1000, 'min' => 1, ], 'CidrLocationNameDefaultAllowed' => [ 'type' => 'string', 'max' => 16, 'min' => 1, 'pattern' => '[0-9A-Za-z_\\-\\*]+', ], 'CidrLocationNameDefaultNotAllowed' => [ 'type' => 'string', 'max' => 16, 'min' => 1, 'pattern' => '[0-9A-Za-z_\\-]+', ], 'CidrNonce' => [ 'type' => 'string', 'max' => 64, 'min' => 1, 'pattern' => '\\p{ASCII}+', ], 'CidrRoutingConfig' => [ 'type' => 'structure', 'required' => [ 'CollectionId', 'LocationName', ], 'members' => [ 'CollectionId' => [ 'shape' => 'UUID', ], 'LocationName' => [ 'shape' => 'CidrLocationNameDefaultAllowed', ], ], ], 'CloudWatchAlarmConfiguration' => [ 'type' => 'structure', 'required' => [ 'EvaluationPeriods', 'Threshold', 'ComparisonOperator', 'Period', 'MetricName', 'Namespace', 'Statistic', ], 'members' => [ 'EvaluationPeriods' => [ 'shape' => 'EvaluationPeriods', ], 'Threshold' => [ 'shape' => 'Threshold', ], 'ComparisonOperator' => [ 'shape' => 'ComparisonOperator', ], 'Period' => [ 'shape' => 'Period', ], 'MetricName' => [ 'shape' => 'MetricName', ], 'Namespace' => [ 'shape' => 'Namespace', ], 'Statistic' => [ 'shape' => 'Statistic', ], 'Dimensions' => [ 'shape' => 'DimensionList', ], ], ], 'CloudWatchLogsLogGroupArn' => [ 'type' => 'string', ], 'CloudWatchRegion' => [ 'type' => 'string', 'enum' => [ 'us-east-1', 'us-east-2', 'us-west-1', 'us-west-2', 'ca-central-1', 'eu-central-1', 'eu-central-2', 'eu-west-1', 'eu-west-2', 'eu-west-3', 'ap-east-1', 'me-south-1', 'me-central-1', 'ap-south-1', 'ap-south-2', 'ap-southeast-1', 'ap-southeast-2', 'ap-southeast-3', 'ap-northeast-1', 'ap-northeast-2', 'ap-northeast-3', 'eu-north-1', 'sa-east-1', 'cn-northwest-1', 'cn-north-1', 'af-south-1', 'eu-south-1', 'eu-south-2', 'us-gov-west-1', 'us-gov-east-1', 'us-iso-east-1', 'us-iso-west-1', 'us-isob-east-1', 'ap-southeast-4', 'il-central-1', 'ca-west-1', 'ap-southeast-5', 'ap-southeast-7', ], 'max' => 64, 'min' => 1, ], 'CollectionName' => [ 'type' => 'string', 'max' => 64, 'min' => 1, 'pattern' => '[0-9A-Za-z_\\-]+', ], 'CollectionSummaries' => [ 'type' => 'list', 'member' => [ 'shape' => 'CollectionSummary', ], ], 'CollectionSummary' => [ 'type' => 'structure', 'members' => [ 'Arn' => [ 'shape' => 'ARN', ], 'Id' => [ 'shape' => 'UUID', ], 'Name' => [ 'shape' => 'CollectionName', ], 'Version' => [ 'shape' => 'CollectionVersion', ], ], ], 'CollectionVersion' => [ 'type' => 'long', 'min' => 1, ], 'ComparisonOperator' => [ 'type' => 'string', 'enum' => [ 'GreaterThanOrEqualToThreshold', 'GreaterThanThreshold', 'LessThanThreshold', 'LessThanOrEqualToThreshold', ], ], 'ConcurrentModification' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'ConflictingDomainExists' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'ConflictingTypes' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'Coordinates' => [ 'type' => 'structure', 'required' => [ 'Latitude', 'Longitude', ], 'members' => [ 'Latitude' => [ 'shape' => 'Latitude', ], 'Longitude' => [ 'shape' => 'Longitude', ], ], ], 'CreateCidrCollectionRequest' => [ 'type' => 'structure', 'required' => [ 'Name', 'CallerReference', ], 'members' => [ 'Name' => [ 'shape' => 'CollectionName', ], 'CallerReference' => [ 'shape' => 'CidrNonce', ], ], ], 'CreateCidrCollectionResponse' => [ 'type' => 'structure', 'members' => [ 'Collection' => [ 'shape' => 'CidrCollection', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateHealthCheckRequest' => [ 'type' => 'structure', 'required' => [ 'CallerReference', 'HealthCheckConfig', ], 'members' => [ 'CallerReference' => [ 'shape' => 'HealthCheckNonce', ], 'HealthCheckConfig' => [ 'shape' => 'HealthCheckConfig', ], ], ], 'CreateHealthCheckResponse' => [ 'type' => 'structure', 'required' => [ 'HealthCheck', 'Location', ], 'members' => [ 'HealthCheck' => [ 'shape' => 'HealthCheck', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateHostedZoneRequest' => [ 'type' => 'structure', 'required' => [ 'Name', 'CallerReference', ], 'members' => [ 'Name' => [ 'shape' => 'DNSName', ], 'VPC' => [ 'shape' => 'VPC', ], 'CallerReference' => [ 'shape' => 'Nonce', ], 'HostedZoneConfig' => [ 'shape' => 'HostedZoneConfig', ], 'DelegationSetId' => [ 'shape' => 'ResourceId', ], ], ], 'CreateHostedZoneResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZone', 'ChangeInfo', 'DelegationSet', 'Location', ], 'members' => [ 'HostedZone' => [ 'shape' => 'HostedZone', ], 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], 'DelegationSet' => [ 'shape' => 'DelegationSet', ], 'VPC' => [ 'shape' => 'VPC', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateKeySigningKeyRequest' => [ 'type' => 'structure', 'required' => [ 'CallerReference', 'HostedZoneId', 'KeyManagementServiceArn', 'Name', 'Status', ], 'members' => [ 'CallerReference' => [ 'shape' => 'Nonce', ], 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'KeyManagementServiceArn' => [ 'shape' => 'SigningKeyString', ], 'Name' => [ 'shape' => 'SigningKeyName', ], 'Status' => [ 'shape' => 'SigningKeyStatus', ], ], ], 'CreateKeySigningKeyResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', 'KeySigningKey', 'Location', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], 'KeySigningKey' => [ 'shape' => 'KeySigningKey', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateQueryLoggingConfigRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'CloudWatchLogsLogGroupArn', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'CloudWatchLogsLogGroupArn' => [ 'shape' => 'CloudWatchLogsLogGroupArn', ], ], ], 'CreateQueryLoggingConfigResponse' => [ 'type' => 'structure', 'required' => [ 'QueryLoggingConfig', 'Location', ], 'members' => [ 'QueryLoggingConfig' => [ 'shape' => 'QueryLoggingConfig', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateReusableDelegationSetRequest' => [ 'type' => 'structure', 'required' => [ 'CallerReference', ], 'members' => [ 'CallerReference' => [ 'shape' => 'Nonce', ], 'HostedZoneId' => [ 'shape' => 'ResourceId', ], ], ], 'CreateReusableDelegationSetResponse' => [ 'type' => 'structure', 'required' => [ 'DelegationSet', 'Location', ], 'members' => [ 'DelegationSet' => [ 'shape' => 'DelegationSet', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateTrafficPolicyInstanceRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'Name', 'TTL', 'TrafficPolicyId', 'TrafficPolicyVersion', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'Name' => [ 'shape' => 'DNSName', ], 'TTL' => [ 'shape' => 'TTL', ], 'TrafficPolicyId' => [ 'shape' => 'TrafficPolicyId', ], 'TrafficPolicyVersion' => [ 'shape' => 'TrafficPolicyVersion', ], ], ], 'CreateTrafficPolicyInstanceResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicyInstance', 'Location', ], 'members' => [ 'TrafficPolicyInstance' => [ 'shape' => 'TrafficPolicyInstance', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateTrafficPolicyRequest' => [ 'type' => 'structure', 'required' => [ 'Name', 'Document', ], 'members' => [ 'Name' => [ 'shape' => 'TrafficPolicyName', ], 'Document' => [ 'shape' => 'TrafficPolicyDocument', ], 'Comment' => [ 'shape' => 'TrafficPolicyComment', ], ], ], 'CreateTrafficPolicyResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicy', 'Location', ], 'members' => [ 'TrafficPolicy' => [ 'shape' => 'TrafficPolicy', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateTrafficPolicyVersionRequest' => [ 'type' => 'structure', 'required' => [ 'Id', 'Document', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyId', 'location' => 'uri', 'locationName' => 'Id', ], 'Document' => [ 'shape' => 'TrafficPolicyDocument', ], 'Comment' => [ 'shape' => 'TrafficPolicyComment', ], ], ], 'CreateTrafficPolicyVersionResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicy', 'Location', ], 'members' => [ 'TrafficPolicy' => [ 'shape' => 'TrafficPolicy', ], 'Location' => [ 'shape' => 'ResourceURI', 'location' => 'header', 'locationName' => 'Location', ], ], ], 'CreateVPCAssociationAuthorizationRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'VPC', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], 'VPC' => [ 'shape' => 'VPC', ], ], ], 'CreateVPCAssociationAuthorizationResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'VPC', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'VPC' => [ 'shape' => 'VPC', ], ], ], 'DNSName' => [ 'type' => 'string', 'max' => 1024, ], 'DNSRCode' => [ 'type' => 'string', ], 'DNSSECNotFound' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'DNSSECStatus' => [ 'type' => 'structure', 'members' => [ 'ServeSignature' => [ 'shape' => 'ServeSignature', ], 'StatusMessage' => [ 'shape' => 'SigningKeyStatusMessage', ], ], ], 'DeactivateKeySigningKeyRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'Name', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'HostedZoneId', ], 'Name' => [ 'shape' => 'SigningKeyName', 'location' => 'uri', 'locationName' => 'Name', ], ], ], 'DeactivateKeySigningKeyResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'DelegationSet' => [ 'type' => 'structure', 'required' => [ 'NameServers', ], 'members' => [ 'Id' => [ 'shape' => 'ResourceId', ], 'CallerReference' => [ 'shape' => 'Nonce', ], 'NameServers' => [ 'shape' => 'DelegationSetNameServers', ], ], ], 'DelegationSetAlreadyCreated' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'DelegationSetAlreadyReusable' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'DelegationSetInUse' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'DelegationSetNameServers' => [ 'type' => 'list', 'member' => [ 'shape' => 'DNSName', 'locationName' => 'NameServer', ], 'min' => 1, ], 'DelegationSetNotAvailable' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'DelegationSetNotReusable' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'DelegationSets' => [ 'type' => 'list', 'member' => [ 'shape' => 'DelegationSet', 'locationName' => 'DelegationSet', ], ], 'DeleteCidrCollectionRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'UUID', 'location' => 'uri', 'locationName' => 'CidrCollectionId', ], ], ], 'DeleteCidrCollectionResponse' => [ 'type' => 'structure', 'members' => [], ], 'DeleteHealthCheckRequest' => [ 'type' => 'structure', 'required' => [ 'HealthCheckId', ], 'members' => [ 'HealthCheckId' => [ 'shape' => 'HealthCheckId', 'location' => 'uri', 'locationName' => 'HealthCheckId', ], ], ], 'DeleteHealthCheckResponse' => [ 'type' => 'structure', 'members' => [], ], 'DeleteHostedZoneRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'DeleteHostedZoneResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'DeleteKeySigningKeyRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'Name', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'HostedZoneId', ], 'Name' => [ 'shape' => 'SigningKeyName', 'location' => 'uri', 'locationName' => 'Name', ], ], ], 'DeleteKeySigningKeyResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'DeleteQueryLoggingConfigRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'QueryLoggingConfigId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'DeleteQueryLoggingConfigResponse' => [ 'type' => 'structure', 'members' => [], ], 'DeleteReusableDelegationSetRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'DeleteReusableDelegationSetResponse' => [ 'type' => 'structure', 'members' => [], ], 'DeleteTrafficPolicyInstanceRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyInstanceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'DeleteTrafficPolicyInstanceResponse' => [ 'type' => 'structure', 'members' => [], ], 'DeleteTrafficPolicyRequest' => [ 'type' => 'structure', 'required' => [ 'Id', 'Version', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyId', 'location' => 'uri', 'locationName' => 'Id', ], 'Version' => [ 'shape' => 'TrafficPolicyVersion', 'location' => 'uri', 'locationName' => 'Version', ], ], ], 'DeleteTrafficPolicyResponse' => [ 'type' => 'structure', 'members' => [], ], 'DeleteVPCAssociationAuthorizationRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'VPC', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], 'VPC' => [ 'shape' => 'VPC', ], ], ], 'DeleteVPCAssociationAuthorizationResponse' => [ 'type' => 'structure', 'members' => [], ], 'Dimension' => [ 'type' => 'structure', 'required' => [ 'Name', 'Value', ], 'members' => [ 'Name' => [ 'shape' => 'DimensionField', ], 'Value' => [ 'shape' => 'DimensionField', ], ], ], 'DimensionField' => [ 'type' => 'string', 'max' => 255, 'min' => 1, ], 'DimensionList' => [ 'type' => 'list', 'member' => [ 'shape' => 'Dimension', 'locationName' => 'Dimension', ], 'max' => 10, ], 'DisableHostedZoneDNSSECRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'DisableHostedZoneDNSSECResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'Disabled' => [ 'type' => 'boolean', ], 'DisassociateVPCComment' => [ 'type' => 'string', ], 'DisassociateVPCFromHostedZoneRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'VPC', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], 'VPC' => [ 'shape' => 'VPC', ], 'Comment' => [ 'shape' => 'DisassociateVPCComment', ], ], ], 'DisassociateVPCFromHostedZoneResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'EnableHostedZoneDNSSECRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'EnableHostedZoneDNSSECResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'EnableSNI' => [ 'type' => 'boolean', ], 'ErrorMessage' => [ 'type' => 'string', ], 'ErrorMessages' => [ 'type' => 'list', 'member' => [ 'shape' => 'ErrorMessage', 'locationName' => 'Message', ], ], 'EvaluationPeriods' => [ 'type' => 'integer', 'min' => 1, ], 'FailureThreshold' => [ 'type' => 'integer', 'max' => 10, 'min' => 1, ], 'FullyQualifiedDomainName' => [ 'type' => 'string', 'max' => 255, ], 'GeoLocation' => [ 'type' => 'structure', 'members' => [ 'ContinentCode' => [ 'shape' => 'GeoLocationContinentCode', ], 'CountryCode' => [ 'shape' => 'GeoLocationCountryCode', ], 'SubdivisionCode' => [ 'shape' => 'GeoLocationSubdivisionCode', ], ], ], 'GeoLocationContinentCode' => [ 'type' => 'string', 'max' => 2, 'min' => 2, ], 'GeoLocationContinentName' => [ 'type' => 'string', 'max' => 32, 'min' => 1, ], 'GeoLocationCountryCode' => [ 'type' => 'string', 'max' => 2, 'min' => 1, ], 'GeoLocationCountryName' => [ 'type' => 'string', 'max' => 64, 'min' => 1, ], 'GeoLocationDetails' => [ 'type' => 'structure', 'members' => [ 'ContinentCode' => [ 'shape' => 'GeoLocationContinentCode', ], 'ContinentName' => [ 'shape' => 'GeoLocationContinentName', ], 'CountryCode' => [ 'shape' => 'GeoLocationCountryCode', ], 'CountryName' => [ 'shape' => 'GeoLocationCountryName', ], 'SubdivisionCode' => [ 'shape' => 'GeoLocationSubdivisionCode', ], 'SubdivisionName' => [ 'shape' => 'GeoLocationSubdivisionName', ], ], ], 'GeoLocationDetailsList' => [ 'type' => 'list', 'member' => [ 'shape' => 'GeoLocationDetails', 'locationName' => 'GeoLocationDetails', ], ], 'GeoLocationSubdivisionCode' => [ 'type' => 'string', 'max' => 3, 'min' => 1, ], 'GeoLocationSubdivisionName' => [ 'type' => 'string', 'max' => 64, 'min' => 1, ], 'GeoProximityLocation' => [ 'type' => 'structure', 'members' => [ 'AWSRegion' => [ 'shape' => 'AWSRegion', ], 'LocalZoneGroup' => [ 'shape' => 'LocalZoneGroup', ], 'Coordinates' => [ 'shape' => 'Coordinates', ], 'Bias' => [ 'shape' => 'Bias', ], ], ], 'GetAccountLimitRequest' => [ 'type' => 'structure', 'required' => [ 'Type', ], 'members' => [ 'Type' => [ 'shape' => 'AccountLimitType', 'location' => 'uri', 'locationName' => 'Type', ], ], ], 'GetAccountLimitResponse' => [ 'type' => 'structure', 'required' => [ 'Limit', 'Count', ], 'members' => [ 'Limit' => [ 'shape' => 'AccountLimit', ], 'Count' => [ 'shape' => 'UsageCount', ], ], ], 'GetChangeRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'ChangeId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'GetChangeResponse' => [ 'type' => 'structure', 'required' => [ 'ChangeInfo', ], 'members' => [ 'ChangeInfo' => [ 'shape' => 'ChangeInfo', ], ], ], 'GetCheckerIpRangesRequest' => [ 'type' => 'structure', 'members' => [], ], 'GetCheckerIpRangesResponse' => [ 'type' => 'structure', 'required' => [ 'CheckerIpRanges', ], 'members' => [ 'CheckerIpRanges' => [ 'shape' => 'CheckerIpRanges', ], ], ], 'GetDNSSECRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'GetDNSSECResponse' => [ 'type' => 'structure', 'required' => [ 'Status', 'KeySigningKeys', ], 'members' => [ 'Status' => [ 'shape' => 'DNSSECStatus', ], 'KeySigningKeys' => [ 'shape' => 'KeySigningKeys', ], ], ], 'GetGeoLocationRequest' => [ 'type' => 'structure', 'members' => [ 'ContinentCode' => [ 'shape' => 'GeoLocationContinentCode', 'location' => 'querystring', 'locationName' => 'continentcode', ], 'CountryCode' => [ 'shape' => 'GeoLocationCountryCode', 'location' => 'querystring', 'locationName' => 'countrycode', ], 'SubdivisionCode' => [ 'shape' => 'GeoLocationSubdivisionCode', 'location' => 'querystring', 'locationName' => 'subdivisioncode', ], ], ], 'GetGeoLocationResponse' => [ 'type' => 'structure', 'required' => [ 'GeoLocationDetails', ], 'members' => [ 'GeoLocationDetails' => [ 'shape' => 'GeoLocationDetails', ], ], ], 'GetHealthCheckCountRequest' => [ 'type' => 'structure', 'members' => [], ], 'GetHealthCheckCountResponse' => [ 'type' => 'structure', 'required' => [ 'HealthCheckCount', ], 'members' => [ 'HealthCheckCount' => [ 'shape' => 'HealthCheckCount', ], ], ], 'GetHealthCheckLastFailureReasonRequest' => [ 'type' => 'structure', 'required' => [ 'HealthCheckId', ], 'members' => [ 'HealthCheckId' => [ 'shape' => 'HealthCheckId', 'location' => 'uri', 'locationName' => 'HealthCheckId', ], ], ], 'GetHealthCheckLastFailureReasonResponse' => [ 'type' => 'structure', 'required' => [ 'HealthCheckObservations', ], 'members' => [ 'HealthCheckObservations' => [ 'shape' => 'HealthCheckObservations', ], ], ], 'GetHealthCheckRequest' => [ 'type' => 'structure', 'required' => [ 'HealthCheckId', ], 'members' => [ 'HealthCheckId' => [ 'shape' => 'HealthCheckId', 'location' => 'uri', 'locationName' => 'HealthCheckId', ], ], ], 'GetHealthCheckResponse' => [ 'type' => 'structure', 'required' => [ 'HealthCheck', ], 'members' => [ 'HealthCheck' => [ 'shape' => 'HealthCheck', ], ], ], 'GetHealthCheckStatusRequest' => [ 'type' => 'structure', 'required' => [ 'HealthCheckId', ], 'members' => [ 'HealthCheckId' => [ 'shape' => 'HealthCheckId', 'location' => 'uri', 'locationName' => 'HealthCheckId', ], ], ], 'GetHealthCheckStatusResponse' => [ 'type' => 'structure', 'required' => [ 'HealthCheckObservations', ], 'members' => [ 'HealthCheckObservations' => [ 'shape' => 'HealthCheckObservations', ], ], ], 'GetHostedZoneCountRequest' => [ 'type' => 'structure', 'members' => [], ], 'GetHostedZoneCountResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZoneCount', ], 'members' => [ 'HostedZoneCount' => [ 'shape' => 'HostedZoneCount', ], ], ], 'GetHostedZoneLimitRequest' => [ 'type' => 'structure', 'required' => [ 'Type', 'HostedZoneId', ], 'members' => [ 'Type' => [ 'shape' => 'HostedZoneLimitType', 'location' => 'uri', 'locationName' => 'Type', ], 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'GetHostedZoneLimitResponse' => [ 'type' => 'structure', 'required' => [ 'Limit', 'Count', ], 'members' => [ 'Limit' => [ 'shape' => 'HostedZoneLimit', ], 'Count' => [ 'shape' => 'UsageCount', ], ], ], 'GetHostedZoneRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'GetHostedZoneResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZone', ], 'members' => [ 'HostedZone' => [ 'shape' => 'HostedZone', ], 'DelegationSet' => [ 'shape' => 'DelegationSet', ], 'VPCs' => [ 'shape' => 'VPCs', ], ], ], 'GetQueryLoggingConfigRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'QueryLoggingConfigId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'GetQueryLoggingConfigResponse' => [ 'type' => 'structure', 'required' => [ 'QueryLoggingConfig', ], 'members' => [ 'QueryLoggingConfig' => [ 'shape' => 'QueryLoggingConfig', ], ], ], 'GetReusableDelegationSetLimitRequest' => [ 'type' => 'structure', 'required' => [ 'Type', 'DelegationSetId', ], 'members' => [ 'Type' => [ 'shape' => 'ReusableDelegationSetLimitType', 'location' => 'uri', 'locationName' => 'Type', ], 'DelegationSetId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'GetReusableDelegationSetLimitResponse' => [ 'type' => 'structure', 'required' => [ 'Limit', 'Count', ], 'members' => [ 'Limit' => [ 'shape' => 'ReusableDelegationSetLimit', ], 'Count' => [ 'shape' => 'UsageCount', ], ], ], 'GetReusableDelegationSetRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'GetReusableDelegationSetResponse' => [ 'type' => 'structure', 'required' => [ 'DelegationSet', ], 'members' => [ 'DelegationSet' => [ 'shape' => 'DelegationSet', ], ], ], 'GetTrafficPolicyInstanceCountRequest' => [ 'type' => 'structure', 'members' => [], ], 'GetTrafficPolicyInstanceCountResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicyInstanceCount', ], 'members' => [ 'TrafficPolicyInstanceCount' => [ 'shape' => 'TrafficPolicyInstanceCount', ], ], ], 'GetTrafficPolicyInstanceRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyInstanceId', 'location' => 'uri', 'locationName' => 'Id', ], ], ], 'GetTrafficPolicyInstanceResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicyInstance', ], 'members' => [ 'TrafficPolicyInstance' => [ 'shape' => 'TrafficPolicyInstance', ], ], ], 'GetTrafficPolicyRequest' => [ 'type' => 'structure', 'required' => [ 'Id', 'Version', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyId', 'location' => 'uri', 'locationName' => 'Id', ], 'Version' => [ 'shape' => 'TrafficPolicyVersion', 'location' => 'uri', 'locationName' => 'Version', ], ], ], 'GetTrafficPolicyResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicy', ], 'members' => [ 'TrafficPolicy' => [ 'shape' => 'TrafficPolicy', ], ], ], 'HealthCheck' => [ 'type' => 'structure', 'required' => [ 'Id', 'CallerReference', 'HealthCheckConfig', 'HealthCheckVersion', ], 'members' => [ 'Id' => [ 'shape' => 'HealthCheckId', ], 'CallerReference' => [ 'shape' => 'HealthCheckNonce', ], 'LinkedService' => [ 'shape' => 'LinkedService', ], 'HealthCheckConfig' => [ 'shape' => 'HealthCheckConfig', ], 'HealthCheckVersion' => [ 'shape' => 'HealthCheckVersion', ], 'CloudWatchAlarmConfiguration' => [ 'shape' => 'CloudWatchAlarmConfiguration', ], ], ], 'HealthCheckAlreadyExists' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 409, ], 'exception' => true, ], 'HealthCheckConfig' => [ 'type' => 'structure', 'required' => [ 'Type', ], 'members' => [ 'IPAddress' => [ 'shape' => 'IPAddress', ], 'Port' => [ 'shape' => 'Port', ], 'Type' => [ 'shape' => 'HealthCheckType', ], 'ResourcePath' => [ 'shape' => 'ResourcePath', ], 'FullyQualifiedDomainName' => [ 'shape' => 'FullyQualifiedDomainName', ], 'SearchString' => [ 'shape' => 'SearchString', ], 'RequestInterval' => [ 'shape' => 'RequestInterval', ], 'FailureThreshold' => [ 'shape' => 'FailureThreshold', ], 'MeasureLatency' => [ 'shape' => 'MeasureLatency', ], 'Inverted' => [ 'shape' => 'Inverted', ], 'Disabled' => [ 'shape' => 'Disabled', ], 'HealthThreshold' => [ 'shape' => 'HealthThreshold', ], 'ChildHealthChecks' => [ 'shape' => 'ChildHealthCheckList', ], 'EnableSNI' => [ 'shape' => 'EnableSNI', ], 'Regions' => [ 'shape' => 'HealthCheckRegionList', ], 'AlarmIdentifier' => [ 'shape' => 'AlarmIdentifier', ], 'InsufficientDataHealthStatus' => [ 'shape' => 'InsufficientDataHealthStatus', ], 'RoutingControlArn' => [ 'shape' => 'RoutingControlArn', ], ], ], 'HealthCheckCount' => [ 'type' => 'long', ], 'HealthCheckId' => [ 'type' => 'string', 'max' => 64, ], 'HealthCheckInUse' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'deprecated' => true, 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'HealthCheckNonce' => [ 'type' => 'string', 'max' => 64, 'min' => 1, ], 'HealthCheckObservation' => [ 'type' => 'structure', 'members' => [ 'Region' => [ 'shape' => 'HealthCheckRegion', ], 'IPAddress' => [ 'shape' => 'IPAddress', ], 'StatusReport' => [ 'shape' => 'StatusReport', ], ], ], 'HealthCheckObservations' => [ 'type' => 'list', 'member' => [ 'shape' => 'HealthCheckObservation', 'locationName' => 'HealthCheckObservation', ], ], 'HealthCheckRegion' => [ 'type' => 'string', 'enum' => [ 'us-east-1', 'us-west-1', 'us-west-2', 'eu-west-1', 'ap-southeast-1', 'ap-southeast-2', 'ap-northeast-1', 'sa-east-1', ], 'max' => 64, 'min' => 1, ], 'HealthCheckRegionList' => [ 'type' => 'list', 'member' => [ 'shape' => 'HealthCheckRegion', 'locationName' => 'Region', ], 'max' => 64, 'min' => 3, ], 'HealthCheckType' => [ 'type' => 'string', 'enum' => [ 'HTTP', 'HTTPS', 'HTTP_STR_MATCH', 'HTTPS_STR_MATCH', 'TCP', 'CALCULATED', 'CLOUDWATCH_METRIC', 'RECOVERY_CONTROL', ], ], 'HealthCheckVersion' => [ 'type' => 'long', 'min' => 1, ], 'HealthCheckVersionMismatch' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 409, ], 'exception' => true, ], 'HealthChecks' => [ 'type' => 'list', 'member' => [ 'shape' => 'HealthCheck', 'locationName' => 'HealthCheck', ], ], 'HealthThreshold' => [ 'type' => 'integer', 'max' => 256, 'min' => 0, ], 'HostedZone' => [ 'type' => 'structure', 'required' => [ 'Id', 'Name', 'CallerReference', ], 'members' => [ 'Id' => [ 'shape' => 'ResourceId', ], 'Name' => [ 'shape' => 'DNSName', ], 'CallerReference' => [ 'shape' => 'Nonce', ], 'Config' => [ 'shape' => 'HostedZoneConfig', ], 'ResourceRecordSetCount' => [ 'shape' => 'HostedZoneRRSetCount', ], 'LinkedService' => [ 'shape' => 'LinkedService', ], ], ], 'HostedZoneAlreadyExists' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 409, ], 'exception' => true, ], 'HostedZoneConfig' => [ 'type' => 'structure', 'members' => [ 'Comment' => [ 'shape' => 'ResourceDescription', ], 'PrivateZone' => [ 'shape' => 'IsPrivateZone', ], ], ], 'HostedZoneCount' => [ 'type' => 'long', ], 'HostedZoneLimit' => [ 'type' => 'structure', 'required' => [ 'Type', 'Value', ], 'members' => [ 'Type' => [ 'shape' => 'HostedZoneLimitType', ], 'Value' => [ 'shape' => 'LimitValue', ], ], ], 'HostedZoneLimitType' => [ 'type' => 'string', 'enum' => [ 'MAX_RRSETS_BY_ZONE', 'MAX_VPCS_ASSOCIATED_BY_ZONE', ], ], 'HostedZoneNotEmpty' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'HostedZoneNotFound' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'HostedZoneNotPrivate' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'HostedZoneOwner' => [ 'type' => 'structure', 'members' => [ 'OwningAccount' => [ 'shape' => 'AWSAccountID', ], 'OwningService' => [ 'shape' => 'HostedZoneOwningService', ], ], ], 'HostedZoneOwningService' => [ 'type' => 'string', 'max' => 128, ], 'HostedZonePartiallyDelegated' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'HostedZoneRRSetCount' => [ 'type' => 'long', ], 'HostedZoneSummaries' => [ 'type' => 'list', 'member' => [ 'shape' => 'HostedZoneSummary', 'locationName' => 'HostedZoneSummary', ], ], 'HostedZoneSummary' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'Name', 'Owner', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'Name' => [ 'shape' => 'DNSName', ], 'Owner' => [ 'shape' => 'HostedZoneOwner', ], ], ], 'HostedZoneType' => [ 'type' => 'string', 'enum' => [ 'PrivateHostedZone', ], ], 'HostedZones' => [ 'type' => 'list', 'member' => [ 'shape' => 'HostedZone', 'locationName' => 'HostedZone', ], ], 'IPAddress' => [ 'type' => 'string', 'max' => 45, 'pattern' => '(^((([0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5]))$|^(([0-9a-fA-F]{1,4}:){7,7}[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,7}:|([0-9a-fA-F]{1,4}:){1,6}:[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,5}(:[0-9a-fA-F]{1,4}){1,2}|([0-9a-fA-F]{1,4}:){1,4}(:[0-9a-fA-F]{1,4}){1,3}|([0-9a-fA-F]{1,4}:){1,3}(:[0-9a-fA-F]{1,4}){1,4}|([0-9a-fA-F]{1,4}:){1,2}(:[0-9a-fA-F]{1,4}){1,5}|[0-9a-fA-F]{1,4}:((:[0-9a-fA-F]{1,4}){1,6})|:((:[0-9a-fA-F]{1,4}){1,7}|:)|fe80:(:[0-9a-fA-F]{0,4}){0,4}%[0-9a-zA-Z]{1,}|::(ffff(:0{1,4}){0,1}:){0,1}((25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9])\\.){3,3}(25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9])|([0-9a-fA-F]{1,4}:){1,4}:((25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9])\\.){3,3}(25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9]))$)', ], 'IPAddressCidr' => [ 'type' => 'string', ], 'IncompatibleVersion' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'InsufficientCloudWatchLogsResourcePolicy' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'InsufficientDataHealthStatus' => [ 'type' => 'string', 'enum' => [ 'Healthy', 'Unhealthy', 'LastKnownStatus', ], ], 'InvalidArgument' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'InvalidChangeBatch' => [ 'type' => 'structure', 'members' => [ 'messages' => [ 'shape' => 'ErrorMessages', ], 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'InvalidDomainName' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'InvalidInput' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'InvalidKMSArn' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'InvalidKeySigningKeyName' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'InvalidKeySigningKeyStatus' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'InvalidPaginationToken' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'InvalidSigningStatus' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'InvalidTrafficPolicyDocument' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'InvalidVPCId' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'Inverted' => [ 'type' => 'boolean', ], 'IsPrivateZone' => [ 'type' => 'boolean', ], 'KeySigningKey' => [ 'type' => 'structure', 'members' => [ 'Name' => [ 'shape' => 'SigningKeyName', ], 'KmsArn' => [ 'shape' => 'SigningKeyString', ], 'Flag' => [ 'shape' => 'SigningKeyInteger', ], 'SigningAlgorithmMnemonic' => [ 'shape' => 'SigningKeyString', ], 'SigningAlgorithmType' => [ 'shape' => 'SigningKeyInteger', ], 'DigestAlgorithmMnemonic' => [ 'shape' => 'SigningKeyString', ], 'DigestAlgorithmType' => [ 'shape' => 'SigningKeyInteger', ], 'KeyTag' => [ 'shape' => 'SigningKeyTag', ], 'DigestValue' => [ 'shape' => 'SigningKeyString', ], 'PublicKey' => [ 'shape' => 'SigningKeyString', ], 'DSRecord' => [ 'shape' => 'SigningKeyString', ], 'DNSKEYRecord' => [ 'shape' => 'SigningKeyString', ], 'Status' => [ 'shape' => 'SigningKeyStatus', ], 'StatusMessage' => [ 'shape' => 'SigningKeyStatusMessage', ], 'CreatedDate' => [ 'shape' => 'TimeStamp', ], 'LastModifiedDate' => [ 'shape' => 'TimeStamp', ], ], ], 'KeySigningKeyAlreadyExists' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 409, ], 'exception' => true, ], 'KeySigningKeyInParentDSRecord' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'KeySigningKeyInUse' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'KeySigningKeyWithActiveStatusNotFound' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'KeySigningKeys' => [ 'type' => 'list', 'member' => [ 'shape' => 'KeySigningKey', ], ], 'LastVPCAssociation' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'Latitude' => [ 'type' => 'string', 'max' => 6, 'min' => 1, 'pattern' => '[-+]?[0-9]{1,2}(\\.[0-9]{0,2})?', ], 'LimitValue' => [ 'type' => 'long', 'min' => 1, ], 'LimitsExceeded' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'LinkedService' => [ 'type' => 'structure', 'members' => [ 'ServicePrincipal' => [ 'shape' => 'ServicePrincipal', ], 'Description' => [ 'shape' => 'ResourceDescription', ], ], ], 'ListCidrBlocksRequest' => [ 'type' => 'structure', 'required' => [ 'CollectionId', ], 'members' => [ 'CollectionId' => [ 'shape' => 'UUID', 'location' => 'uri', 'locationName' => 'CidrCollectionId', ], 'LocationName' => [ 'shape' => 'CidrLocationNameDefaultNotAllowed', 'location' => 'querystring', 'locationName' => 'location', ], 'NextToken' => [ 'shape' => 'PaginationToken', 'location' => 'querystring', 'locationName' => 'nexttoken', ], 'MaxResults' => [ 'shape' => 'MaxResults', 'location' => 'querystring', 'locationName' => 'maxresults', ], ], ], 'ListCidrBlocksResponse' => [ 'type' => 'structure', 'members' => [ 'NextToken' => [ 'shape' => 'PaginationToken', ], 'CidrBlocks' => [ 'shape' => 'CidrBlockSummaries', ], ], ], 'ListCidrCollectionsRequest' => [ 'type' => 'structure', 'members' => [ 'NextToken' => [ 'shape' => 'PaginationToken', 'location' => 'querystring', 'locationName' => 'nexttoken', ], 'MaxResults' => [ 'shape' => 'MaxResults', 'location' => 'querystring', 'locationName' => 'maxresults', ], ], ], 'ListCidrCollectionsResponse' => [ 'type' => 'structure', 'members' => [ 'NextToken' => [ 'shape' => 'PaginationToken', ], 'CidrCollections' => [ 'shape' => 'CollectionSummaries', ], ], ], 'ListCidrLocationsRequest' => [ 'type' => 'structure', 'required' => [ 'CollectionId', ], 'members' => [ 'CollectionId' => [ 'shape' => 'UUID', 'location' => 'uri', 'locationName' => 'CidrCollectionId', ], 'NextToken' => [ 'shape' => 'PaginationToken', 'location' => 'querystring', 'locationName' => 'nexttoken', ], 'MaxResults' => [ 'shape' => 'MaxResults', 'location' => 'querystring', 'locationName' => 'maxresults', ], ], ], 'ListCidrLocationsResponse' => [ 'type' => 'structure', 'members' => [ 'NextToken' => [ 'shape' => 'PaginationToken', ], 'CidrLocations' => [ 'shape' => 'LocationSummaries', ], ], ], 'ListGeoLocationsRequest' => [ 'type' => 'structure', 'members' => [ 'StartContinentCode' => [ 'shape' => 'GeoLocationContinentCode', 'location' => 'querystring', 'locationName' => 'startcontinentcode', ], 'StartCountryCode' => [ 'shape' => 'GeoLocationCountryCode', 'location' => 'querystring', 'locationName' => 'startcountrycode', ], 'StartSubdivisionCode' => [ 'shape' => 'GeoLocationSubdivisionCode', 'location' => 'querystring', 'locationName' => 'startsubdivisioncode', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListGeoLocationsResponse' => [ 'type' => 'structure', 'required' => [ 'GeoLocationDetailsList', 'IsTruncated', 'MaxItems', ], 'members' => [ 'GeoLocationDetailsList' => [ 'shape' => 'GeoLocationDetailsList', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'NextContinentCode' => [ 'shape' => 'GeoLocationContinentCode', ], 'NextCountryCode' => [ 'shape' => 'GeoLocationCountryCode', ], 'NextSubdivisionCode' => [ 'shape' => 'GeoLocationSubdivisionCode', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListHealthChecksRequest' => [ 'type' => 'structure', 'members' => [ 'Marker' => [ 'shape' => 'PageMarker', 'location' => 'querystring', 'locationName' => 'marker', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListHealthChecksResponse' => [ 'type' => 'structure', 'required' => [ 'HealthChecks', 'Marker', 'IsTruncated', 'MaxItems', ], 'members' => [ 'HealthChecks' => [ 'shape' => 'HealthChecks', ], 'Marker' => [ 'shape' => 'PageMarker', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'NextMarker' => [ 'shape' => 'PageMarker', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListHostedZonesByNameRequest' => [ 'type' => 'structure', 'members' => [ 'DNSName' => [ 'shape' => 'DNSName', 'location' => 'querystring', 'locationName' => 'dnsname', ], 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'querystring', 'locationName' => 'hostedzoneid', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListHostedZonesByNameResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZones', 'IsTruncated', 'MaxItems', ], 'members' => [ 'HostedZones' => [ 'shape' => 'HostedZones', ], 'DNSName' => [ 'shape' => 'DNSName', ], 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'NextDNSName' => [ 'shape' => 'DNSName', ], 'NextHostedZoneId' => [ 'shape' => 'ResourceId', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListHostedZonesByVPCRequest' => [ 'type' => 'structure', 'required' => [ 'VPCId', 'VPCRegion', ], 'members' => [ 'VPCId' => [ 'shape' => 'VPCId', 'location' => 'querystring', 'locationName' => 'vpcid', ], 'VPCRegion' => [ 'shape' => 'VPCRegion', 'location' => 'querystring', 'locationName' => 'vpcregion', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], 'NextToken' => [ 'shape' => 'PaginationToken', 'location' => 'querystring', 'locationName' => 'nexttoken', ], ], ], 'ListHostedZonesByVPCResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZoneSummaries', 'MaxItems', ], 'members' => [ 'HostedZoneSummaries' => [ 'shape' => 'HostedZoneSummaries', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], 'NextToken' => [ 'shape' => 'PaginationToken', ], ], ], 'ListHostedZonesRequest' => [ 'type' => 'structure', 'members' => [ 'Marker' => [ 'shape' => 'PageMarker', 'location' => 'querystring', 'locationName' => 'marker', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], 'DelegationSetId' => [ 'shape' => 'ResourceId', 'location' => 'querystring', 'locationName' => 'delegationsetid', ], 'HostedZoneType' => [ 'shape' => 'HostedZoneType', 'location' => 'querystring', 'locationName' => 'hostedzonetype', ], ], ], 'ListHostedZonesResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZones', 'Marker', 'IsTruncated', 'MaxItems', ], 'members' => [ 'HostedZones' => [ 'shape' => 'HostedZones', ], 'Marker' => [ 'shape' => 'PageMarker', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'NextMarker' => [ 'shape' => 'PageMarker', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListQueryLoggingConfigsRequest' => [ 'type' => 'structure', 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'querystring', 'locationName' => 'hostedzoneid', ], 'NextToken' => [ 'shape' => 'PaginationToken', 'location' => 'querystring', 'locationName' => 'nexttoken', ], 'MaxResults' => [ 'shape' => 'MaxResults', 'location' => 'querystring', 'locationName' => 'maxresults', ], ], ], 'ListQueryLoggingConfigsResponse' => [ 'type' => 'structure', 'required' => [ 'QueryLoggingConfigs', ], 'members' => [ 'QueryLoggingConfigs' => [ 'shape' => 'QueryLoggingConfigs', ], 'NextToken' => [ 'shape' => 'PaginationToken', ], ], ], 'ListResourceRecordSetsRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], 'StartRecordName' => [ 'shape' => 'DNSName', 'location' => 'querystring', 'locationName' => 'name', ], 'StartRecordType' => [ 'shape' => 'RRType', 'location' => 'querystring', 'locationName' => 'type', ], 'StartRecordIdentifier' => [ 'shape' => 'ResourceRecordSetIdentifier', 'location' => 'querystring', 'locationName' => 'identifier', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListResourceRecordSetsResponse' => [ 'type' => 'structure', 'required' => [ 'ResourceRecordSets', 'IsTruncated', 'MaxItems', ], 'members' => [ 'ResourceRecordSets' => [ 'shape' => 'ResourceRecordSets', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'NextRecordName' => [ 'shape' => 'DNSName', ], 'NextRecordType' => [ 'shape' => 'RRType', ], 'NextRecordIdentifier' => [ 'shape' => 'ResourceRecordSetIdentifier', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListReusableDelegationSetsRequest' => [ 'type' => 'structure', 'members' => [ 'Marker' => [ 'shape' => 'PageMarker', 'location' => 'querystring', 'locationName' => 'marker', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListReusableDelegationSetsResponse' => [ 'type' => 'structure', 'required' => [ 'DelegationSets', 'Marker', 'IsTruncated', 'MaxItems', ], 'members' => [ 'DelegationSets' => [ 'shape' => 'DelegationSets', ], 'Marker' => [ 'shape' => 'PageMarker', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'NextMarker' => [ 'shape' => 'PageMarker', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListTagsForResourceRequest' => [ 'type' => 'structure', 'required' => [ 'ResourceType', 'ResourceId', ], 'members' => [ 'ResourceType' => [ 'shape' => 'TagResourceType', 'location' => 'uri', 'locationName' => 'ResourceType', ], 'ResourceId' => [ 'shape' => 'TagResourceId', 'location' => 'uri', 'locationName' => 'ResourceId', ], ], ], 'ListTagsForResourceResponse' => [ 'type' => 'structure', 'required' => [ 'ResourceTagSet', ], 'members' => [ 'ResourceTagSet' => [ 'shape' => 'ResourceTagSet', ], ], ], 'ListTagsForResourcesRequest' => [ 'type' => 'structure', 'required' => [ 'ResourceType', 'ResourceIds', ], 'members' => [ 'ResourceType' => [ 'shape' => 'TagResourceType', 'location' => 'uri', 'locationName' => 'ResourceType', ], 'ResourceIds' => [ 'shape' => 'TagResourceIdList', ], ], ], 'ListTagsForResourcesResponse' => [ 'type' => 'structure', 'required' => [ 'ResourceTagSets', ], 'members' => [ 'ResourceTagSets' => [ 'shape' => 'ResourceTagSetList', ], ], ], 'ListTrafficPoliciesRequest' => [ 'type' => 'structure', 'members' => [ 'TrafficPolicyIdMarker' => [ 'shape' => 'TrafficPolicyId', 'location' => 'querystring', 'locationName' => 'trafficpolicyid', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListTrafficPoliciesResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicySummaries', 'IsTruncated', 'TrafficPolicyIdMarker', 'MaxItems', ], 'members' => [ 'TrafficPolicySummaries' => [ 'shape' => 'TrafficPolicySummaries', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'TrafficPolicyIdMarker' => [ 'shape' => 'TrafficPolicyId', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListTrafficPolicyInstancesByHostedZoneRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'querystring', 'locationName' => 'id', ], 'TrafficPolicyInstanceNameMarker' => [ 'shape' => 'DNSName', 'location' => 'querystring', 'locationName' => 'trafficpolicyinstancename', ], 'TrafficPolicyInstanceTypeMarker' => [ 'shape' => 'RRType', 'location' => 'querystring', 'locationName' => 'trafficpolicyinstancetype', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListTrafficPolicyInstancesByHostedZoneResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicyInstances', 'IsTruncated', 'MaxItems', ], 'members' => [ 'TrafficPolicyInstances' => [ 'shape' => 'TrafficPolicyInstances', ], 'TrafficPolicyInstanceNameMarker' => [ 'shape' => 'DNSName', ], 'TrafficPolicyInstanceTypeMarker' => [ 'shape' => 'RRType', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListTrafficPolicyInstancesByPolicyRequest' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicyId', 'TrafficPolicyVersion', ], 'members' => [ 'TrafficPolicyId' => [ 'shape' => 'TrafficPolicyId', 'location' => 'querystring', 'locationName' => 'id', ], 'TrafficPolicyVersion' => [ 'shape' => 'TrafficPolicyVersion', 'location' => 'querystring', 'locationName' => 'version', ], 'HostedZoneIdMarker' => [ 'shape' => 'ResourceId', 'location' => 'querystring', 'locationName' => 'hostedzoneid', ], 'TrafficPolicyInstanceNameMarker' => [ 'shape' => 'DNSName', 'location' => 'querystring', 'locationName' => 'trafficpolicyinstancename', ], 'TrafficPolicyInstanceTypeMarker' => [ 'shape' => 'RRType', 'location' => 'querystring', 'locationName' => 'trafficpolicyinstancetype', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListTrafficPolicyInstancesByPolicyResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicyInstances', 'IsTruncated', 'MaxItems', ], 'members' => [ 'TrafficPolicyInstances' => [ 'shape' => 'TrafficPolicyInstances', ], 'HostedZoneIdMarker' => [ 'shape' => 'ResourceId', ], 'TrafficPolicyInstanceNameMarker' => [ 'shape' => 'DNSName', ], 'TrafficPolicyInstanceTypeMarker' => [ 'shape' => 'RRType', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListTrafficPolicyInstancesRequest' => [ 'type' => 'structure', 'members' => [ 'HostedZoneIdMarker' => [ 'shape' => 'ResourceId', 'location' => 'querystring', 'locationName' => 'hostedzoneid', ], 'TrafficPolicyInstanceNameMarker' => [ 'shape' => 'DNSName', 'location' => 'querystring', 'locationName' => 'trafficpolicyinstancename', ], 'TrafficPolicyInstanceTypeMarker' => [ 'shape' => 'RRType', 'location' => 'querystring', 'locationName' => 'trafficpolicyinstancetype', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListTrafficPolicyInstancesResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicyInstances', 'IsTruncated', 'MaxItems', ], 'members' => [ 'TrafficPolicyInstances' => [ 'shape' => 'TrafficPolicyInstances', ], 'HostedZoneIdMarker' => [ 'shape' => 'ResourceId', ], 'TrafficPolicyInstanceNameMarker' => [ 'shape' => 'DNSName', ], 'TrafficPolicyInstanceTypeMarker' => [ 'shape' => 'RRType', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListTrafficPolicyVersionsRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyId', 'location' => 'uri', 'locationName' => 'Id', ], 'TrafficPolicyVersionMarker' => [ 'shape' => 'TrafficPolicyVersionMarker', 'location' => 'querystring', 'locationName' => 'trafficpolicyversion', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', 'location' => 'querystring', 'locationName' => 'maxitems', ], ], ], 'ListTrafficPolicyVersionsResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicies', 'IsTruncated', 'TrafficPolicyVersionMarker', 'MaxItems', ], 'members' => [ 'TrafficPolicies' => [ 'shape' => 'TrafficPolicies', ], 'IsTruncated' => [ 'shape' => 'PageTruncated', ], 'TrafficPolicyVersionMarker' => [ 'shape' => 'TrafficPolicyVersionMarker', ], 'MaxItems' => [ 'shape' => 'PageMaxItems', ], ], ], 'ListVPCAssociationAuthorizationsRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], 'NextToken' => [ 'shape' => 'PaginationToken', 'location' => 'querystring', 'locationName' => 'nexttoken', ], 'MaxResults' => [ 'shape' => 'MaxResults', 'location' => 'querystring', 'locationName' => 'maxresults', ], ], ], 'ListVPCAssociationAuthorizationsResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'VPCs', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'NextToken' => [ 'shape' => 'PaginationToken', ], 'VPCs' => [ 'shape' => 'VPCs', ], ], ], 'LocalZoneGroup' => [ 'type' => 'string', 'max' => 64, 'min' => 1, ], 'LocationSummaries' => [ 'type' => 'list', 'member' => [ 'shape' => 'LocationSummary', ], ], 'LocationSummary' => [ 'type' => 'structure', 'members' => [ 'LocationName' => [ 'shape' => 'CidrLocationNameDefaultAllowed', ], ], ], 'Longitude' => [ 'type' => 'string', 'max' => 7, 'min' => 1, 'pattern' => '[-+]?[0-9]{1,3}(\\.[0-9]{0,2})?', ], 'MaxResults' => [ 'type' => 'string', ], 'MeasureLatency' => [ 'type' => 'boolean', ], 'Message' => [ 'type' => 'string', 'max' => 1024, ], 'MetricName' => [ 'type' => 'string', 'max' => 255, 'min' => 1, ], 'Nameserver' => [ 'type' => 'string', 'max' => 255, 'min' => 0, ], 'Namespace' => [ 'type' => 'string', 'max' => 255, 'min' => 1, ], 'NoSuchChange' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchCidrCollectionException' => [ 'type' => 'structure', 'members' => [ 'Message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchCidrLocationException' => [ 'type' => 'structure', 'members' => [ 'Message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchCloudWatchLogsLogGroup' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchDelegationSet' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'NoSuchGeoLocation' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchHealthCheck' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchHostedZone' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchKeySigningKey' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchQueryLoggingConfig' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchTrafficPolicy' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'NoSuchTrafficPolicyInstance' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'Nonce' => [ 'type' => 'string', 'max' => 128, 'min' => 1, ], 'NotAuthorizedException' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 401, ], 'exception' => true, ], 'PageMarker' => [ 'type' => 'string', 'max' => 64, ], 'PageMaxItems' => [ 'type' => 'string', ], 'PageTruncated' => [ 'type' => 'boolean', ], 'PaginationToken' => [ 'type' => 'string', 'max' => 1024, ], 'Period' => [ 'type' => 'integer', 'min' => 60, ], 'Port' => [ 'type' => 'integer', 'max' => 65535, 'min' => 1, ], 'PriorRequestNotComplete' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'PublicZoneVPCAssociation' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'QueryLoggingConfig' => [ 'type' => 'structure', 'required' => [ 'Id', 'HostedZoneId', 'CloudWatchLogsLogGroupArn', ], 'members' => [ 'Id' => [ 'shape' => 'QueryLoggingConfigId', ], 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'CloudWatchLogsLogGroupArn' => [ 'shape' => 'CloudWatchLogsLogGroupArn', ], ], ], 'QueryLoggingConfigAlreadyExists' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 409, ], 'exception' => true, ], 'QueryLoggingConfigId' => [ 'type' => 'string', 'max' => 36, 'min' => 1, ], 'QueryLoggingConfigs' => [ 'type' => 'list', 'member' => [ 'shape' => 'QueryLoggingConfig', 'locationName' => 'QueryLoggingConfig', ], ], 'RData' => [ 'type' => 'string', 'max' => 4000, ], 'RRType' => [ 'type' => 'string', 'enum' => [ 'SOA', 'A', 'TXT', 'NS', 'CNAME', 'MX', 'NAPTR', 'PTR', 'SRV', 'SPF', 'AAAA', 'CAA', 'DS', 'TLSA', 'SSHFP', 'SVCB', 'HTTPS', ], ], 'RecordData' => [ 'type' => 'list', 'member' => [ 'shape' => 'RecordDataEntry', 'locationName' => 'RecordDataEntry', ], ], 'RecordDataEntry' => [ 'type' => 'string', 'max' => 512, 'min' => 0, ], 'RequestInterval' => [ 'type' => 'integer', 'max' => 30, 'min' => 10, ], 'ResettableElementName' => [ 'type' => 'string', 'enum' => [ 'FullyQualifiedDomainName', 'Regions', 'ResourcePath', 'ChildHealthChecks', ], 'max' => 64, 'min' => 1, ], 'ResettableElementNameList' => [ 'type' => 'list', 'member' => [ 'shape' => 'ResettableElementName', 'locationName' => 'ResettableElementName', ], 'max' => 64, ], 'ResourceDescription' => [ 'type' => 'string', 'max' => 256, ], 'ResourceId' => [ 'type' => 'string', 'max' => 32, ], 'ResourcePath' => [ 'type' => 'string', 'max' => 255, ], 'ResourceRecord' => [ 'type' => 'structure', 'required' => [ 'Value', ], 'members' => [ 'Value' => [ 'shape' => 'RData', ], ], ], 'ResourceRecordSet' => [ 'type' => 'structure', 'required' => [ 'Name', 'Type', ], 'members' => [ 'Name' => [ 'shape' => 'DNSName', ], 'Type' => [ 'shape' => 'RRType', ], 'SetIdentifier' => [ 'shape' => 'ResourceRecordSetIdentifier', ], 'Weight' => [ 'shape' => 'ResourceRecordSetWeight', ], 'Region' => [ 'shape' => 'ResourceRecordSetRegion', ], 'GeoLocation' => [ 'shape' => 'GeoLocation', ], 'Failover' => [ 'shape' => 'ResourceRecordSetFailover', ], 'MultiValueAnswer' => [ 'shape' => 'ResourceRecordSetMultiValueAnswer', ], 'TTL' => [ 'shape' => 'TTL', ], 'ResourceRecords' => [ 'shape' => 'ResourceRecords', ], 'AliasTarget' => [ 'shape' => 'AliasTarget', ], 'HealthCheckId' => [ 'shape' => 'HealthCheckId', ], 'TrafficPolicyInstanceId' => [ 'shape' => 'TrafficPolicyInstanceId', ], 'CidrRoutingConfig' => [ 'shape' => 'CidrRoutingConfig', ], 'GeoProximityLocation' => [ 'shape' => 'GeoProximityLocation', ], ], ], 'ResourceRecordSetFailover' => [ 'type' => 'string', 'enum' => [ 'PRIMARY', 'SECONDARY', ], ], 'ResourceRecordSetIdentifier' => [ 'type' => 'string', 'max' => 128, 'min' => 1, ], 'ResourceRecordSetMultiValueAnswer' => [ 'type' => 'boolean', ], 'ResourceRecordSetRegion' => [ 'type' => 'string', 'enum' => [ 'us-east-1', 'us-east-2', 'us-west-1', 'us-west-2', 'ca-central-1', 'eu-west-1', 'eu-west-2', 'eu-west-3', 'eu-central-1', 'eu-central-2', 'ap-southeast-1', 'ap-southeast-2', 'ap-southeast-3', 'ap-northeast-1', 'ap-northeast-2', 'ap-northeast-3', 'eu-north-1', 'sa-east-1', 'cn-north-1', 'cn-northwest-1', 'ap-east-1', 'me-south-1', 'me-central-1', 'ap-south-1', 'ap-south-2', 'af-south-1', 'eu-south-1', 'eu-south-2', 'ap-southeast-4', 'il-central-1', 'ca-west-1', 'ap-southeast-5', 'ap-southeast-7', ], 'max' => 64, 'min' => 1, ], 'ResourceRecordSetWeight' => [ 'type' => 'long', 'max' => 255, 'min' => 0, ], 'ResourceRecordSets' => [ 'type' => 'list', 'member' => [ 'shape' => 'ResourceRecordSet', 'locationName' => 'ResourceRecordSet', ], ], 'ResourceRecords' => [ 'type' => 'list', 'member' => [ 'shape' => 'ResourceRecord', 'locationName' => 'ResourceRecord', ], 'min' => 1, ], 'ResourceTagSet' => [ 'type' => 'structure', 'members' => [ 'ResourceType' => [ 'shape' => 'TagResourceType', ], 'ResourceId' => [ 'shape' => 'TagResourceId', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'ResourceTagSetList' => [ 'type' => 'list', 'member' => [ 'shape' => 'ResourceTagSet', 'locationName' => 'ResourceTagSet', ], ], 'ResourceURI' => [ 'type' => 'string', 'max' => 1024, ], 'ReusableDelegationSetLimit' => [ 'type' => 'structure', 'required' => [ 'Type', 'Value', ], 'members' => [ 'Type' => [ 'shape' => 'ReusableDelegationSetLimitType', ], 'Value' => [ 'shape' => 'LimitValue', ], ], ], 'ReusableDelegationSetLimitType' => [ 'type' => 'string', 'enum' => [ 'MAX_ZONES_BY_REUSABLE_DELEGATION_SET', ], ], 'RoutingControlArn' => [ 'type' => 'string', 'max' => 255, 'min' => 1, ], 'SearchString' => [ 'type' => 'string', 'max' => 255, ], 'ServeSignature' => [ 'type' => 'string', 'max' => 1024, 'min' => 1, ], 'ServicePrincipal' => [ 'type' => 'string', 'max' => 128, ], 'SigningKeyInteger' => [ 'type' => 'integer', ], 'SigningKeyName' => [ 'type' => 'string', 'max' => 128, 'min' => 3, ], 'SigningKeyStatus' => [ 'type' => 'string', 'max' => 150, 'min' => 5, ], 'SigningKeyStatusMessage' => [ 'type' => 'string', 'max' => 512, 'min' => 0, ], 'SigningKeyString' => [ 'type' => 'string', ], 'SigningKeyTag' => [ 'type' => 'integer', 'max' => 65536, 'min' => 0, ], 'Statistic' => [ 'type' => 'string', 'enum' => [ 'Average', 'Sum', 'SampleCount', 'Maximum', 'Minimum', ], ], 'Status' => [ 'type' => 'string', ], 'StatusReport' => [ 'type' => 'structure', 'members' => [ 'Status' => [ 'shape' => 'Status', ], 'CheckedTime' => [ 'shape' => 'TimeStamp', ], ], ], 'SubnetMask' => [ 'type' => 'string', 'max' => 3, 'min' => 0, ], 'TTL' => [ 'type' => 'long', 'max' => 2147483647, 'min' => 0, ], 'Tag' => [ 'type' => 'structure', 'members' => [ 'Key' => [ 'shape' => 'TagKey', ], 'Value' => [ 'shape' => 'TagValue', ], ], ], 'TagKey' => [ 'type' => 'string', 'max' => 128, ], 'TagKeyList' => [ 'type' => 'list', 'member' => [ 'shape' => 'TagKey', 'locationName' => 'Key', ], 'max' => 10, 'min' => 1, ], 'TagList' => [ 'type' => 'list', 'member' => [ 'shape' => 'Tag', 'locationName' => 'Tag', ], 'max' => 10, 'min' => 1, ], 'TagResourceId' => [ 'type' => 'string', 'max' => 64, ], 'TagResourceIdList' => [ 'type' => 'list', 'member' => [ 'shape' => 'TagResourceId', 'locationName' => 'ResourceId', ], 'max' => 10, 'min' => 1, ], 'TagResourceType' => [ 'type' => 'string', 'enum' => [ 'healthcheck', 'hostedzone', ], ], 'TagValue' => [ 'type' => 'string', 'max' => 256, ], 'TestDNSAnswerRequest' => [ 'type' => 'structure', 'required' => [ 'HostedZoneId', 'RecordName', 'RecordType', ], 'members' => [ 'HostedZoneId' => [ 'shape' => 'ResourceId', 'location' => 'querystring', 'locationName' => 'hostedzoneid', ], 'RecordName' => [ 'shape' => 'DNSName', 'location' => 'querystring', 'locationName' => 'recordname', ], 'RecordType' => [ 'shape' => 'RRType', 'location' => 'querystring', 'locationName' => 'recordtype', ], 'ResolverIP' => [ 'shape' => 'IPAddress', 'location' => 'querystring', 'locationName' => 'resolverip', ], 'EDNS0ClientSubnetIP' => [ 'shape' => 'IPAddress', 'location' => 'querystring', 'locationName' => 'edns0clientsubnetip', ], 'EDNS0ClientSubnetMask' => [ 'shape' => 'SubnetMask', 'location' => 'querystring', 'locationName' => 'edns0clientsubnetmask', ], ], ], 'TestDNSAnswerResponse' => [ 'type' => 'structure', 'required' => [ 'Nameserver', 'RecordName', 'RecordType', 'RecordData', 'ResponseCode', 'Protocol', ], 'members' => [ 'Nameserver' => [ 'shape' => 'Nameserver', ], 'RecordName' => [ 'shape' => 'DNSName', ], 'RecordType' => [ 'shape' => 'RRType', ], 'RecordData' => [ 'shape' => 'RecordData', ], 'ResponseCode' => [ 'shape' => 'DNSRCode', ], 'Protocol' => [ 'shape' => 'TransportProtocol', ], ], ], 'Threshold' => [ 'type' => 'double', ], 'ThrottlingException' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'TimeStamp' => [ 'type' => 'timestamp', ], 'TooManyHealthChecks' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'TooManyHostedZones' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'TooManyKeySigningKeys' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'exception' => true, ], 'TooManyTrafficPolicies' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'TooManyTrafficPolicyInstances' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'TooManyTrafficPolicyVersionsForCurrentPolicy' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'TooManyVPCAssociationAuthorizations' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'TrafficPolicies' => [ 'type' => 'list', 'member' => [ 'shape' => 'TrafficPolicy', 'locationName' => 'TrafficPolicy', ], ], 'TrafficPolicy' => [ 'type' => 'structure', 'required' => [ 'Id', 'Version', 'Name', 'Type', 'Document', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyId', ], 'Version' => [ 'shape' => 'TrafficPolicyVersion', ], 'Name' => [ 'shape' => 'TrafficPolicyName', ], 'Type' => [ 'shape' => 'RRType', ], 'Document' => [ 'shape' => 'TrafficPolicyDocument', ], 'Comment' => [ 'shape' => 'TrafficPolicyComment', ], ], ], 'TrafficPolicyAlreadyExists' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 409, ], 'exception' => true, ], 'TrafficPolicyComment' => [ 'type' => 'string', 'max' => 1024, ], 'TrafficPolicyDocument' => [ 'type' => 'string', 'max' => 102400, ], 'TrafficPolicyId' => [ 'type' => 'string', 'max' => 36, 'min' => 1, ], 'TrafficPolicyInUse' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 400, ], 'exception' => true, ], 'TrafficPolicyInstance' => [ 'type' => 'structure', 'required' => [ 'Id', 'HostedZoneId', 'Name', 'TTL', 'State', 'Message', 'TrafficPolicyId', 'TrafficPolicyVersion', 'TrafficPolicyType', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyInstanceId', ], 'HostedZoneId' => [ 'shape' => 'ResourceId', ], 'Name' => [ 'shape' => 'DNSName', ], 'TTL' => [ 'shape' => 'TTL', ], 'State' => [ 'shape' => 'TrafficPolicyInstanceState', ], 'Message' => [ 'shape' => 'Message', ], 'TrafficPolicyId' => [ 'shape' => 'TrafficPolicyId', ], 'TrafficPolicyVersion' => [ 'shape' => 'TrafficPolicyVersion', ], 'TrafficPolicyType' => [ 'shape' => 'RRType', ], ], ], 'TrafficPolicyInstanceAlreadyExists' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 409, ], 'exception' => true, ], 'TrafficPolicyInstanceCount' => [ 'type' => 'integer', ], 'TrafficPolicyInstanceId' => [ 'type' => 'string', 'max' => 36, 'min' => 1, ], 'TrafficPolicyInstanceState' => [ 'type' => 'string', ], 'TrafficPolicyInstances' => [ 'type' => 'list', 'member' => [ 'shape' => 'TrafficPolicyInstance', 'locationName' => 'TrafficPolicyInstance', ], ], 'TrafficPolicyName' => [ 'type' => 'string', 'max' => 512, ], 'TrafficPolicySummaries' => [ 'type' => 'list', 'member' => [ 'shape' => 'TrafficPolicySummary', 'locationName' => 'TrafficPolicySummary', ], ], 'TrafficPolicySummary' => [ 'type' => 'structure', 'required' => [ 'Id', 'Name', 'Type', 'LatestVersion', 'TrafficPolicyCount', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyId', ], 'Name' => [ 'shape' => 'TrafficPolicyName', ], 'Type' => [ 'shape' => 'RRType', ], 'LatestVersion' => [ 'shape' => 'TrafficPolicyVersion', ], 'TrafficPolicyCount' => [ 'shape' => 'TrafficPolicyVersion', ], ], ], 'TrafficPolicyVersion' => [ 'type' => 'integer', 'max' => 1000, 'min' => 1, ], 'TrafficPolicyVersionMarker' => [ 'type' => 'string', 'max' => 4, ], 'TransportProtocol' => [ 'type' => 'string', ], 'UUID' => [ 'type' => 'string', 'pattern' => '[0-9a-f]{8}-(?:[0-9a-f]{4}-){3}[0-9a-f]{12}', ], 'UpdateHealthCheckRequest' => [ 'type' => 'structure', 'required' => [ 'HealthCheckId', ], 'members' => [ 'HealthCheckId' => [ 'shape' => 'HealthCheckId', 'location' => 'uri', 'locationName' => 'HealthCheckId', ], 'HealthCheckVersion' => [ 'shape' => 'HealthCheckVersion', ], 'IPAddress' => [ 'shape' => 'IPAddress', ], 'Port' => [ 'shape' => 'Port', ], 'ResourcePath' => [ 'shape' => 'ResourcePath', ], 'FullyQualifiedDomainName' => [ 'shape' => 'FullyQualifiedDomainName', ], 'SearchString' => [ 'shape' => 'SearchString', ], 'FailureThreshold' => [ 'shape' => 'FailureThreshold', ], 'Inverted' => [ 'shape' => 'Inverted', ], 'Disabled' => [ 'shape' => 'Disabled', ], 'HealthThreshold' => [ 'shape' => 'HealthThreshold', ], 'ChildHealthChecks' => [ 'shape' => 'ChildHealthCheckList', ], 'EnableSNI' => [ 'shape' => 'EnableSNI', ], 'Regions' => [ 'shape' => 'HealthCheckRegionList', ], 'AlarmIdentifier' => [ 'shape' => 'AlarmIdentifier', ], 'InsufficientDataHealthStatus' => [ 'shape' => 'InsufficientDataHealthStatus', ], 'ResetElements' => [ 'shape' => 'ResettableElementNameList', ], ], ], 'UpdateHealthCheckResponse' => [ 'type' => 'structure', 'required' => [ 'HealthCheck', ], 'members' => [ 'HealthCheck' => [ 'shape' => 'HealthCheck', ], ], ], 'UpdateHostedZoneCommentRequest' => [ 'type' => 'structure', 'required' => [ 'Id', ], 'members' => [ 'Id' => [ 'shape' => 'ResourceId', 'location' => 'uri', 'locationName' => 'Id', ], 'Comment' => [ 'shape' => 'ResourceDescription', ], ], ], 'UpdateHostedZoneCommentResponse' => [ 'type' => 'structure', 'required' => [ 'HostedZone', ], 'members' => [ 'HostedZone' => [ 'shape' => 'HostedZone', ], ], ], 'UpdateTrafficPolicyCommentRequest' => [ 'type' => 'structure', 'required' => [ 'Id', 'Version', 'Comment', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyId', 'location' => 'uri', 'locationName' => 'Id', ], 'Version' => [ 'shape' => 'TrafficPolicyVersion', 'location' => 'uri', 'locationName' => 'Version', ], 'Comment' => [ 'shape' => 'TrafficPolicyComment', ], ], ], 'UpdateTrafficPolicyCommentResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicy', ], 'members' => [ 'TrafficPolicy' => [ 'shape' => 'TrafficPolicy', ], ], ], 'UpdateTrafficPolicyInstanceRequest' => [ 'type' => 'structure', 'required' => [ 'Id', 'TTL', 'TrafficPolicyId', 'TrafficPolicyVersion', ], 'members' => [ 'Id' => [ 'shape' => 'TrafficPolicyInstanceId', 'location' => 'uri', 'locationName' => 'Id', ], 'TTL' => [ 'shape' => 'TTL', ], 'TrafficPolicyId' => [ 'shape' => 'TrafficPolicyId', ], 'TrafficPolicyVersion' => [ 'shape' => 'TrafficPolicyVersion', ], ], ], 'UpdateTrafficPolicyInstanceResponse' => [ 'type' => 'structure', 'required' => [ 'TrafficPolicyInstance', ], 'members' => [ 'TrafficPolicyInstance' => [ 'shape' => 'TrafficPolicyInstance', ], ], ], 'UsageCount' => [ 'type' => 'long', 'min' => 0, ], 'VPC' => [ 'type' => 'structure', 'members' => [ 'VPCRegion' => [ 'shape' => 'VPCRegion', ], 'VPCId' => [ 'shape' => 'VPCId', ], ], ], 'VPCAssociationAuthorizationNotFound' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'VPCAssociationNotFound' => [ 'type' => 'structure', 'members' => [ 'message' => [ 'shape' => 'ErrorMessage', ], ], 'error' => [ 'httpStatusCode' => 404, ], 'exception' => true, ], 'VPCId' => [ 'type' => 'string', 'max' => 1024, ], 'VPCRegion' => [ 'type' => 'string', 'enum' => [ 'us-east-1', 'us-east-2', 'us-west-1', 'us-west-2', 'eu-west-1', 'eu-west-2', 'eu-west-3', 'eu-central-1', 'eu-central-2', 'ap-east-1', 'me-south-1', 'us-gov-west-1', 'us-gov-east-1', 'us-iso-east-1', 'us-iso-west-1', 'us-isob-east-1', 'me-central-1', 'ap-southeast-1', 'ap-southeast-2', 'ap-southeast-3', 'ap-south-1', 'ap-south-2', 'ap-northeast-1', 'ap-northeast-2', 'ap-northeast-3', 'eu-north-1', 'sa-east-1', 'ca-central-1', 'cn-north-1', 'cn-northwest-1', 'af-south-1', 'eu-south-1', 'eu-south-2', 'ap-southeast-4', 'il-central-1', 'ca-west-1', 'ap-southeast-5', 'ap-southeast-7', ], 'max' => 64, 'min' => 1, ], 'VPCs' => [ 'type' => 'list', 'member' => [ 'shape' => 'VPC', 'locationName' => 'VPC', ], 'min' => 1, ], ],]; diff --git a/src/data/sagemaker/2017-07-24/api-2.json b/src/data/sagemaker/2017-07-24/api-2.json index b987172639..0f851285dd 100644 --- a/src/data/sagemaker/2017-07-24/api-2.json +++ b/src/data/sagemaker/2017-07-24/api-2.json @@ -6474,6 +6474,7 @@ "ThreadsPerCore":{"shape":"ClusterThreadsPerCore"}, "InstanceStorageConfigs":{"shape":"ClusterInstanceStorageConfigs"}, "PrivatePrimaryIp":{"shape":"ClusterPrivatePrimaryIp"}, + "PrivatePrimaryIpv6":{"shape":"ClusterPrivatePrimaryIpv6"}, "PrivateDnsHostname":{"shape":"ClusterPrivateDnsHostname"}, "Placement":{"shape":"ClusterInstancePlacement"} } @@ -6544,6 +6545,7 @@ "type":"string", "pattern":"^((25[0-5]|(2[0-4]|1\\d|[1-9]|)\\d)\\.?\\b){4}$" }, + "ClusterPrivatePrimaryIpv6":{"type":"string"}, "ClusterSchedulerConfigArn":{ "type":"string", "max":256, diff --git a/src/data/sagemaker/2017-07-24/api-2.json.php b/src/data/sagemaker/2017-07-24/api-2.json.php index bcfe60126c..e39b0abbba 100644 --- a/src/data/sagemaker/2017-07-24/api-2.json.php +++ b/src/data/sagemaker/2017-07-24/api-2.json.php @@ -1,3 +1,3 @@ '2.0', 'metadata' => [ 'apiVersion' => '2017-07-24', 'endpointPrefix' => 'api.sagemaker', 'jsonVersion' => '1.1', 'protocol' => 'json', 'protocols' => [ 'json', ], 'serviceAbbreviation' => 'SageMaker', 'serviceFullName' => 'Amazon SageMaker Service', 'serviceId' => 'SageMaker', 'signatureVersion' => 'v4', 'signingName' => 'sagemaker', 'targetPrefix' => 'SageMaker', 'uid' => 'sagemaker-2017-07-24', 'auth' => [ 'aws.auth#sigv4', ], ], 'operations' => [ 'AddAssociation' => [ 'name' => 'AddAssociation', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'AddAssociationRequest', ], 'output' => [ 'shape' => 'AddAssociationResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'AddTags' => [ 'name' => 'AddTags', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'AddTagsInput', ], 'output' => [ 'shape' => 'AddTagsOutput', ], ], 'AssociateTrialComponent' => [ 'name' => 'AssociateTrialComponent', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'AssociateTrialComponentRequest', ], 'output' => [ 'shape' => 'AssociateTrialComponentResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'BatchDeleteClusterNodes' => [ 'name' => 'BatchDeleteClusterNodes', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'BatchDeleteClusterNodesRequest', ], 'output' => [ 'shape' => 'BatchDeleteClusterNodesResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'BatchDescribeModelPackage' => [ 'name' => 'BatchDescribeModelPackage', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'BatchDescribeModelPackageInput', ], 'output' => [ 'shape' => 'BatchDescribeModelPackageOutput', ], ], 'CreateAction' => [ 'name' => 'CreateAction', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateActionRequest', ], 'output' => [ 'shape' => 'CreateActionResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateAlgorithm' => [ 'name' => 'CreateAlgorithm', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateAlgorithmInput', ], 'output' => [ 'shape' => 'CreateAlgorithmOutput', ], ], 'CreateApp' => [ 'name' => 'CreateApp', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateAppRequest', ], 'output' => [ 'shape' => 'CreateAppResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], [ 'shape' => 'ResourceInUse', ], ], ], 'CreateAppImageConfig' => [ 'name' => 'CreateAppImageConfig', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateAppImageConfigRequest', ], 'output' => [ 'shape' => 'CreateAppImageConfigResponse', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], ], ], 'CreateArtifact' => [ 'name' => 'CreateArtifact', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateArtifactRequest', ], 'output' => [ 'shape' => 'CreateArtifactResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateAutoMLJob' => [ 'name' => 'CreateAutoMLJob', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateAutoMLJobRequest', ], 'output' => [ 'shape' => 'CreateAutoMLJobResponse', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateAutoMLJobV2' => [ 'name' => 'CreateAutoMLJobV2', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateAutoMLJobV2Request', ], 'output' => [ 'shape' => 'CreateAutoMLJobV2Response', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateCluster' => [ 'name' => 'CreateCluster', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateClusterRequest', ], 'output' => [ 'shape' => 'CreateClusterResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], [ 'shape' => 'ResourceInUse', ], ], ], 'CreateClusterSchedulerConfig' => [ 'name' => 'CreateClusterSchedulerConfig', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateClusterSchedulerConfigRequest', ], 'output' => [ 'shape' => 'CreateClusterSchedulerConfigResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], [ 'shape' => 'ConflictException', ], ], ], 'CreateCodeRepository' => [ 'name' => 'CreateCodeRepository', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateCodeRepositoryInput', ], 'output' => [ 'shape' => 'CreateCodeRepositoryOutput', ], ], 'CreateCompilationJob' => [ 'name' => 'CreateCompilationJob', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateCompilationJobRequest', ], 'output' => [ 'shape' => 'CreateCompilationJobResponse', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateComputeQuota' => [ 'name' => 'CreateComputeQuota', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateComputeQuotaRequest', ], 'output' => [ 'shape' => 'CreateComputeQuotaResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], [ 'shape' => 'ConflictException', ], ], ], 'CreateContext' => [ 'name' => 'CreateContext', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateContextRequest', ], 'output' => [ 'shape' => 'CreateContextResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateDataQualityJobDefinition' => [ 'name' => 'CreateDataQualityJobDefinition', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateDataQualityJobDefinitionRequest', ], 'output' => [ 'shape' => 'CreateDataQualityJobDefinitionResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], [ 'shape' => 'ResourceInUse', ], ], ], 'CreateDeviceFleet' => [ 'name' => 'CreateDeviceFleet', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateDeviceFleetRequest', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateDomain' => [ 'name' => 'CreateDomain', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateDomainRequest', ], 'output' => [ 'shape' => 'CreateDomainResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], [ 'shape' => 'ResourceInUse', ], ], ], 'CreateEdgeDeploymentPlan' => [ 'name' => 'CreateEdgeDeploymentPlan', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateEdgeDeploymentPlanRequest', ], 'output' => [ 'shape' => 'CreateEdgeDeploymentPlanResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateEdgeDeploymentStage' => [ 'name' => 'CreateEdgeDeploymentStage', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateEdgeDeploymentStageRequest', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateEdgePackagingJob' => [ 'name' => 'CreateEdgePackagingJob', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateEdgePackagingJobRequest', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateEndpoint' => [ 'name' => 'CreateEndpoint', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateEndpointInput', ], 'output' => [ 'shape' => 'CreateEndpointOutput', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateEndpointConfig' => [ 'name' => 'CreateEndpointConfig', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateEndpointConfigInput', ], 'output' => [ 'shape' => 'CreateEndpointConfigOutput', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateExperiment' => [ 'name' => 'CreateExperiment', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateExperimentRequest', ], 'output' => [ 'shape' => 'CreateExperimentResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateFeatureGroup' => [ 'name' => 'CreateFeatureGroup', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateFeatureGroupRequest', ], 'output' => [ 'shape' => 'CreateFeatureGroupResponse', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateFlowDefinition' => [ 'name' => 'CreateFlowDefinition', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateFlowDefinitionRequest', ], 'output' => [ 'shape' => 'CreateFlowDefinitionResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], [ 'shape' => 'ResourceInUse', ], ], ], 'CreateHub' => [ 'name' => 'CreateHub', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateHubRequest', ], 'output' => [ 'shape' => 'CreateHubResponse', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateHubContentReference' => [ 'name' => 'CreateHubContentReference', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateHubContentReferenceRequest', ], 'output' => [ 'shape' => 'CreateHubContentReferenceResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateHumanTaskUi' => [ 'name' => 'CreateHumanTaskUi', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateHumanTaskUiRequest', ], 'output' => [ 'shape' => 'CreateHumanTaskUiResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], [ 'shape' => 'ResourceInUse', ], ], ], 'CreateHyperParameterTuningJob' => [ 'name' => 'CreateHyperParameterTuningJob', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateHyperParameterTuningJobRequest', ], 'output' => [ 'shape' => 'CreateHyperParameterTuningJobResponse', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateImage' => [ 'name' => 'CreateImage', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateImageRequest', ], 'output' => [ 'shape' => 'CreateImageResponse', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateImageVersion' => [ 'name' => 'CreateImageVersion', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateImageVersionRequest', ], 'output' => [ 'shape' => 'CreateImageVersionResponse', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], [ 'shape' => 'ResourceNotFound', ], ], ], 'CreateInferenceComponent' => [ 'name' => 'CreateInferenceComponent', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateInferenceComponentInput', ], 'output' => [ 'shape' => 'CreateInferenceComponentOutput', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateInferenceExperiment' => [ 'name' => 'CreateInferenceExperiment', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateInferenceExperimentRequest', ], 'output' => [ 'shape' => 'CreateInferenceExperimentResponse', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateInferenceRecommendationsJob' => [ 'name' => 'CreateInferenceRecommendationsJob', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateInferenceRecommendationsJobRequest', ], 'output' => [ 'shape' => 'CreateInferenceRecommendationsJobResponse', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateLabelingJob' => [ 'name' => 'CreateLabelingJob', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 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'output' => [ 'shape' => 'DescribeContextResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'DescribeDataQualityJobDefinition' => [ 'name' => 'DescribeDataQualityJobDefinition', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'DescribeDataQualityJobDefinitionRequest', ], 'output' => [ 'shape' => 'DescribeDataQualityJobDefinitionResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'DescribeDevice' => [ 'name' => 'DescribeDevice', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'DescribeDeviceRequest', ], 'output' => [ 'shape' => 'DescribeDeviceResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'DescribeDeviceFleet' => [ 'name' => 'DescribeDeviceFleet', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'DescribeDeviceFleetRequest', ], 'output' => [ 'shape' => 'DescribeDeviceFleetResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], 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'DescribeModelCardExportJob' => [ 'name' => 'DescribeModelCardExportJob', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'DescribeModelCardExportJobRequest', ], 'output' => [ 'shape' => 'DescribeModelCardExportJobResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'DescribeModelExplainabilityJobDefinition' => [ 'name' => 'DescribeModelExplainabilityJobDefinition', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'DescribeModelExplainabilityJobDefinitionRequest', ], 'output' => [ 'shape' => 'DescribeModelExplainabilityJobDefinitionResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'DescribeModelPackage' => [ 'name' => 'DescribeModelPackage', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'DescribeModelPackageInput', ], 'output' => [ 'shape' => 'DescribeModelPackageOutput', ], ], 'DescribeModelPackageGroup' => [ 'name' => 'DescribeModelPackageGroup', 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'DescribePipeline' => [ 'name' => 'DescribePipeline', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'DescribePipelineRequest', ], 'output' => [ 'shape' => 'DescribePipelineResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'DescribePipelineDefinitionForExecution' => [ 'name' => 'DescribePipelineDefinitionForExecution', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'DescribePipelineDefinitionForExecutionRequest', ], 'output' => [ 'shape' => 'DescribePipelineDefinitionForExecutionResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'DescribePipelineExecution' => [ 'name' => 'DescribePipelineExecution', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'DescribePipelineExecutionRequest', ], 'output' => [ 'shape' => 'DescribePipelineExecutionResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'DescribeProcessingJob' => [ 'name' => 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'output' => [ 'shape' => 'ListClusterNodesResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'ListClusterSchedulerConfigs' => [ 'name' => 'ListClusterSchedulerConfigs', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListClusterSchedulerConfigsRequest', ], 'output' => [ 'shape' => 'ListClusterSchedulerConfigsResponse', ], ], 'ListClusters' => [ 'name' => 'ListClusters', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListClustersRequest', ], 'output' => [ 'shape' => 'ListClustersResponse', ], ], 'ListCodeRepositories' => [ 'name' => 'ListCodeRepositories', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListCodeRepositoriesInput', ], 'output' => [ 'shape' => 'ListCodeRepositoriesOutput', ], ], 'ListCompilationJobs' => [ 'name' => 'ListCompilationJobs', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListCompilationJobsRequest', ], 'output' => [ 'shape' => 'ListCompilationJobsResponse', ], ], 'ListComputeQuotas' => [ 'name' => 'ListComputeQuotas', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListComputeQuotasRequest', ], 'output' => [ 'shape' => 'ListComputeQuotasResponse', ], ], 'ListContexts' => [ 'name' => 'ListContexts', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListContextsRequest', ], 'output' => [ 'shape' => 'ListContextsResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'ListDataQualityJobDefinitions' => [ 'name' => 'ListDataQualityJobDefinitions', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListDataQualityJobDefinitionsRequest', ], 'output' => [ 'shape' => 'ListDataQualityJobDefinitionsResponse', ], ], 'ListDeviceFleets' => [ 'name' => 'ListDeviceFleets', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListDeviceFleetsRequest', ], 'output' => [ 'shape' => 'ListDeviceFleetsResponse', ], ], 'ListDevices' => [ 'name' => 'ListDevices', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListDevicesRequest', ], 'output' => [ 'shape' => 'ListDevicesResponse', ], ], 'ListDomains' => [ 'name' => 'ListDomains', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListDomainsRequest', ], 'output' => [ 'shape' => 'ListDomainsResponse', ], ], 'ListEdgeDeploymentPlans' => [ 'name' => 'ListEdgeDeploymentPlans', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListEdgeDeploymentPlansRequest', ], 'output' => [ 'shape' => 'ListEdgeDeploymentPlansResponse', ], ], 'ListEdgePackagingJobs' => [ 'name' => 'ListEdgePackagingJobs', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListEdgePackagingJobsRequest', ], 'output' => [ 'shape' => 'ListEdgePackagingJobsResponse', ], ], 'ListEndpointConfigs' => [ 'name' => 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'ListLabelingJobs' => [ 'name' => 'ListLabelingJobs', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListLabelingJobsRequest', ], 'output' => [ 'shape' => 'ListLabelingJobsResponse', ], ], 'ListLabelingJobsForWorkteam' => [ 'name' => 'ListLabelingJobsForWorkteam', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListLabelingJobsForWorkteamRequest', ], 'output' => [ 'shape' => 'ListLabelingJobsForWorkteamResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'ListLineageGroups' => [ 'name' => 'ListLineageGroups', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListLineageGroupsRequest', ], 'output' => [ 'shape' => 'ListLineageGroupsResponse', ], ], 'ListMlflowTrackingServers' => [ 'name' => 'ListMlflowTrackingServers', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListMlflowTrackingServersRequest', ], 'output' => [ 'shape' => 'ListMlflowTrackingServersResponse', ], ], 'ListModelBiasJobDefinitions' => [ 'name' => 'ListModelBiasJobDefinitions', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListModelBiasJobDefinitionsRequest', ], 'output' => [ 'shape' => 'ListModelBiasJobDefinitionsResponse', ], ], 'ListModelCardExportJobs' => [ 'name' => 'ListModelCardExportJobs', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListModelCardExportJobsRequest', ], 'output' => [ 'shape' => 'ListModelCardExportJobsResponse', ], ], 'ListModelCardVersions' => [ 'name' => 'ListModelCardVersions', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListModelCardVersionsRequest', ], 'output' => [ 'shape' => 'ListModelCardVersionsResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'ListModelCards' => [ 'name' => 'ListModelCards', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 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'ListModelPackagesInput', ], 'output' => [ 'shape' => 'ListModelPackagesOutput', ], ], 'ListModelQualityJobDefinitions' => [ 'name' => 'ListModelQualityJobDefinitions', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListModelQualityJobDefinitionsRequest', ], 'output' => [ 'shape' => 'ListModelQualityJobDefinitionsResponse', ], ], 'ListModels' => [ 'name' => 'ListModels', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListModelsInput', ], 'output' => [ 'shape' => 'ListModelsOutput', ], ], 'ListMonitoringAlertHistory' => [ 'name' => 'ListMonitoringAlertHistory', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListMonitoringAlertHistoryRequest', ], 'output' => [ 'shape' => 'ListMonitoringAlertHistoryResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'ListMonitoringAlerts' => [ 'name' => 'ListMonitoringAlerts', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListMonitoringAlertsRequest', ], 'output' => [ 'shape' => 'ListMonitoringAlertsResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'ListMonitoringExecutions' => [ 'name' => 'ListMonitoringExecutions', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListMonitoringExecutionsRequest', ], 'output' => [ 'shape' => 'ListMonitoringExecutionsResponse', ], ], 'ListMonitoringSchedules' => [ 'name' => 'ListMonitoringSchedules', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListMonitoringSchedulesRequest', ], 'output' => [ 'shape' => 'ListMonitoringSchedulesResponse', ], ], 'ListNotebookInstanceLifecycleConfigs' => [ 'name' => 'ListNotebookInstanceLifecycleConfigs', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListNotebookInstanceLifecycleConfigsInput', ], 'output' => [ 'shape' => 'ListNotebookInstanceLifecycleConfigsOutput', ], ], 'ListNotebookInstances' => [ 'name' => 'ListNotebookInstances', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListNotebookInstancesInput', ], 'output' => [ 'shape' => 'ListNotebookInstancesOutput', ], ], 'ListOptimizationJobs' => [ 'name' => 'ListOptimizationJobs', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListOptimizationJobsRequest', ], 'output' => [ 'shape' => 'ListOptimizationJobsResponse', ], ], 'ListPartnerApps' => [ 'name' => 'ListPartnerApps', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListPartnerAppsRequest', ], 'output' => [ 'shape' => 'ListPartnerAppsResponse', ], ], 'ListPipelineExecutionSteps' => [ 'name' => 'ListPipelineExecutionSteps', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListPipelineExecutionStepsRequest', ], 'output' => [ 'shape' => 'ListPipelineExecutionStepsResponse', ], 'errors' => [ [ 'shape' => 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], 'input' => [ 'shape' => 'ListProcessingJobsRequest', ], 'output' => [ 'shape' => 'ListProcessingJobsResponse', ], ], 'ListProjects' => [ 'name' => 'ListProjects', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListProjectsInput', ], 'output' => [ 'shape' => 'ListProjectsOutput', ], ], 'ListResourceCatalogs' => [ 'name' => 'ListResourceCatalogs', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListResourceCatalogsRequest', ], 'output' => [ 'shape' => 'ListResourceCatalogsResponse', ], ], 'ListSpaces' => [ 'name' => 'ListSpaces', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListSpacesRequest', ], 'output' => [ 'shape' => 'ListSpacesResponse', ], ], 'ListStageDevices' => [ 'name' => 'ListStageDevices', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListStageDevicesRequest', ], 'output' => [ 'shape' => 'ListStageDevicesResponse', ], ], 'ListStudioLifecycleConfigs' => [ 'name' => 'ListStudioLifecycleConfigs', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListStudioLifecycleConfigsRequest', ], 'output' => [ 'shape' => 'ListStudioLifecycleConfigsResponse', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], ], ], 'ListSubscribedWorkteams' => [ 'name' => 'ListSubscribedWorkteams', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListSubscribedWorkteamsRequest', ], 'output' => [ 'shape' => 'ListSubscribedWorkteamsResponse', ], ], 'ListTags' => [ 'name' => 'ListTags', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListTagsInput', ], 'output' => [ 'shape' => 'ListTagsOutput', ], ], 'ListTrainingJobs' => [ 'name' => 'ListTrainingJobs', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListTrainingJobsRequest', ], 'output' => [ 'shape' => 'ListTrainingJobsResponse', ], ], 'ListTrainingJobsForHyperParameterTuningJob' => [ 'name' => 'ListTrainingJobsForHyperParameterTuningJob', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListTrainingJobsForHyperParameterTuningJobRequest', ], 'output' => [ 'shape' => 'ListTrainingJobsForHyperParameterTuningJobResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'ListTrainingPlans' => [ 'name' => 'ListTrainingPlans', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListTrainingPlansRequest', ], 'output' => [ 'shape' => 'ListTrainingPlansResponse', ], ], 'ListTransformJobs' => [ 'name' => 'ListTransformJobs', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListTransformJobsRequest', ], 'output' => [ 'shape' => 'ListTransformJobsResponse', ], ], 'ListTrialComponents' => [ 'name' => 'ListTrialComponents', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListTrialComponentsRequest', ], 'output' => [ 'shape' => 'ListTrialComponentsResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'ListTrials' => [ 'name' => 'ListTrials', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListTrialsRequest', ], 'output' => [ 'shape' => 'ListTrialsResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'ListUserProfiles' => [ 'name' => 'ListUserProfiles', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListUserProfilesRequest', ], 'output' => [ 'shape' => 'ListUserProfilesResponse', ], ], 'ListWorkforces' => [ 'name' => 'ListWorkforces', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListWorkforcesRequest', ], 'output' => [ 'shape' => 'ListWorkforcesResponse', ], ], 'ListWorkteams' => [ 'name' => 'ListWorkteams', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListWorkteamsRequest', ], 'output' => [ 'shape' => 'ListWorkteamsResponse', ], ], 'PutModelPackageGroupPolicy' => [ 'name' => 'PutModelPackageGroupPolicy', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'PutModelPackageGroupPolicyInput', ], 'output' => [ 'shape' => 'PutModelPackageGroupPolicyOutput', ], 'errors' => [ [ 'shape' => 'ConflictException', ], ], ], 'QueryLineage' => [ 'name' => 'QueryLineage', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'QueryLineageRequest', ], 'output' => [ 'shape' => 'QueryLineageResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'RegisterDevices' => [ 'name' => 'RegisterDevices', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'RegisterDevicesRequest', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'RenderUiTemplate' => [ 'name' => 'RenderUiTemplate', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 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'AlgorithmArn', ], 'members' => [ 'AlgorithmArn' => [ 'shape' => 'AlgorithmArn', ], ], ], 'CreateAppImageConfigRequest' => [ 'type' => 'structure', 'required' => [ 'AppImageConfigName', ], 'members' => [ 'AppImageConfigName' => [ 'shape' => 'AppImageConfigName', ], 'Tags' => [ 'shape' => 'TagList', ], 'KernelGatewayImageConfig' => [ 'shape' => 'KernelGatewayImageConfig', ], 'JupyterLabAppImageConfig' => [ 'shape' => 'JupyterLabAppImageConfig', ], 'CodeEditorAppImageConfig' => [ 'shape' => 'CodeEditorAppImageConfig', ], ], ], 'CreateAppImageConfigResponse' => [ 'type' => 'structure', 'members' => [ 'AppImageConfigArn' => [ 'shape' => 'AppImageConfigArn', ], ], ], 'CreateAppRequest' => [ 'type' => 'structure', 'required' => [ 'DomainId', 'AppType', 'AppName', ], 'members' => [ 'DomainId' => [ 'shape' => 'DomainId', ], 'UserProfileName' => [ 'shape' => 'UserProfileName', ], 'SpaceName' => [ 'shape' => 'SpaceName', ], 'AppType' => [ 'shape' => 'AppType', ], 'AppName' => [ 'shape' => 'AppName', ], 'Tags' => [ 'shape' => 'TagList', ], 'ResourceSpec' => [ 'shape' => 'ResourceSpec', ], ], ], 'CreateAppResponse' => [ 'type' => 'structure', 'members' => [ 'AppArn' => [ 'shape' => 'AppArn', ], ], ], 'CreateArtifactRequest' => [ 'type' => 'structure', 'required' => [ 'Source', 'ArtifactType', ], 'members' => [ 'ArtifactName' => [ 'shape' => 'ExperimentEntityName', ], 'Source' => [ 'shape' => 'ArtifactSource', ], 'ArtifactType' => [ 'shape' => 'String256', ], 'Properties' => [ 'shape' => 'ArtifactProperties', ], 'MetadataProperties' => [ 'shape' => 'MetadataProperties', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateArtifactResponse' => [ 'type' => 'structure', 'members' => [ 'ArtifactArn' => [ 'shape' => 'ArtifactArn', ], ], ], 'CreateAutoMLJobRequest' => [ 'type' => 'structure', 'required' => [ 'AutoMLJobName', 'InputDataConfig', 'OutputDataConfig', 'RoleArn', ], 'members' => [ 'AutoMLJobName' => [ 'shape' => 'AutoMLJobName', ], 'InputDataConfig' => [ 'shape' => 'AutoMLInputDataConfig', ], 'OutputDataConfig' => [ 'shape' => 'AutoMLOutputDataConfig', ], 'ProblemType' => [ 'shape' => 'ProblemType', ], 'AutoMLJobObjective' => [ 'shape' => 'AutoMLJobObjective', ], 'AutoMLJobConfig' => [ 'shape' => 'AutoMLJobConfig', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'GenerateCandidateDefinitionsOnly' => [ 'shape' => 'GenerateCandidateDefinitionsOnly', ], 'Tags' => [ 'shape' => 'TagList', ], 'ModelDeployConfig' => [ 'shape' => 'ModelDeployConfig', ], ], ], 'CreateAutoMLJobResponse' => [ 'type' => 'structure', 'required' => [ 'AutoMLJobArn', ], 'members' => [ 'AutoMLJobArn' => [ 'shape' => 'AutoMLJobArn', ], ], ], 'CreateAutoMLJobV2Request' => [ 'type' => 'structure', 'required' => [ 'AutoMLJobName', 'AutoMLJobInputDataConfig', 'OutputDataConfig', 'AutoMLProblemTypeConfig', 'RoleArn', ], 'members' => [ 'AutoMLJobName' => [ 'shape' => 'AutoMLJobName', ], 'AutoMLJobInputDataConfig' => [ 'shape' => 'AutoMLJobInputDataConfig', ], 'OutputDataConfig' => [ 'shape' => 'AutoMLOutputDataConfig', ], 'AutoMLProblemTypeConfig' => [ 'shape' => 'AutoMLProblemTypeConfig', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'Tags' => [ 'shape' => 'TagList', ], 'SecurityConfig' => [ 'shape' => 'AutoMLSecurityConfig', ], 'AutoMLJobObjective' => [ 'shape' => 'AutoMLJobObjective', ], 'ModelDeployConfig' => [ 'shape' => 'ModelDeployConfig', ], 'DataSplitConfig' => [ 'shape' => 'AutoMLDataSplitConfig', ], 'AutoMLComputeConfig' => [ 'shape' => 'AutoMLComputeConfig', ], ], ], 'CreateAutoMLJobV2Response' => [ 'type' => 'structure', 'required' => [ 'AutoMLJobArn', ], 'members' => [ 'AutoMLJobArn' => [ 'shape' => 'AutoMLJobArn', ], ], ], 'CreateClusterRequest' => [ 'type' => 'structure', 'required' => [ 'ClusterName', 'InstanceGroups', ], 'members' => [ 'ClusterName' => [ 'shape' => 'ClusterName', ], 'InstanceGroups' => [ 'shape' => 'ClusterInstanceGroupSpecifications', ], 'VpcConfig' => [ 'shape' => 'VpcConfig', ], 'Tags' => [ 'shape' => 'TagList', ], 'Orchestrator' => [ 'shape' => 'ClusterOrchestrator', ], 'NodeRecovery' => [ 'shape' => 'ClusterNodeRecovery', ], ], ], 'CreateClusterResponse' => [ 'type' => 'structure', 'required' => [ 'ClusterArn', ], 'members' => [ 'ClusterArn' => [ 'shape' => 'ClusterArn', ], ], ], 'CreateClusterSchedulerConfigRequest' => [ 'type' => 'structure', 'required' => [ 'Name', 'ClusterArn', 'SchedulerConfig', ], 'members' => [ 'Name' => [ 'shape' => 'EntityName', ], 'ClusterArn' => [ 'shape' => 'ClusterArn', ], 'SchedulerConfig' => [ 'shape' => 'SchedulerConfig', ], 'Description' => [ 'shape' => 'EntityDescription', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateClusterSchedulerConfigResponse' => [ 'type' => 'structure', 'required' => [ 'ClusterSchedulerConfigArn', 'ClusterSchedulerConfigId', ], 'members' => [ 'ClusterSchedulerConfigArn' => [ 'shape' => 'ClusterSchedulerConfigArn', ], 'ClusterSchedulerConfigId' => [ 'shape' => 'ClusterSchedulerConfigId', ], ], ], 'CreateCodeRepositoryInput' => [ 'type' => 'structure', 'required' => [ 'CodeRepositoryName', 'GitConfig', ], 'members' => [ 'CodeRepositoryName' => [ 'shape' => 'EntityName', ], 'GitConfig' => [ 'shape' => 'GitConfig', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateCodeRepositoryOutput' => [ 'type' => 'structure', 'required' => [ 'CodeRepositoryArn', ], 'members' => [ 'CodeRepositoryArn' => [ 'shape' => 'CodeRepositoryArn', ], ], ], 'CreateCompilationJobRequest' => [ 'type' => 'structure', 'required' => [ 'CompilationJobName', 'RoleArn', 'OutputConfig', 'StoppingCondition', ], 'members' => [ 'CompilationJobName' => [ 'shape' => 'EntityName', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'ModelPackageVersionArn' => [ 'shape' => 'ModelPackageArn', ], 'InputConfig' => [ 'shape' => 'InputConfig', ], 'OutputConfig' => [ 'shape' => 'OutputConfig', ], 'VpcConfig' => [ 'shape' => 'NeoVpcConfig', ], 'StoppingCondition' => [ 'shape' => 'StoppingCondition', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateCompilationJobResponse' => [ 'type' => 'structure', 'required' => [ 'CompilationJobArn', ], 'members' => [ 'CompilationJobArn' => [ 'shape' => 'CompilationJobArn', ], ], ], 'CreateComputeQuotaRequest' => [ 'type' => 'structure', 'required' => [ 'Name', 'ClusterArn', 'ComputeQuotaConfig', 'ComputeQuotaTarget', ], 'members' => [ 'Name' => [ 'shape' => 'EntityName', ], 'Description' => [ 'shape' => 'EntityDescription', ], 'ClusterArn' => [ 'shape' => 'ClusterArn', ], 'ComputeQuotaConfig' => [ 'shape' => 'ComputeQuotaConfig', ], 'ComputeQuotaTarget' => [ 'shape' => 'ComputeQuotaTarget', ], 'ActivationState' => [ 'shape' => 'ActivationState', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateComputeQuotaResponse' => [ 'type' => 'structure', 'required' => [ 'ComputeQuotaArn', 'ComputeQuotaId', ], 'members' => [ 'ComputeQuotaArn' => [ 'shape' => 'ComputeQuotaArn', ], 'ComputeQuotaId' => [ 'shape' => 'ComputeQuotaId', ], ], ], 'CreateContextRequest' => [ 'type' => 'structure', 'required' => [ 'ContextName', 'Source', 'ContextType', ], 'members' => [ 'ContextName' => [ 'shape' => 'ContextName', ], 'Source' => [ 'shape' => 'ContextSource', ], 'ContextType' => [ 'shape' => 'String256', ], 'Description' => [ 'shape' => 'ExperimentDescription', ], 'Properties' => [ 'shape' => 'LineageEntityParameters', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateContextResponse' => [ 'type' => 'structure', 'members' => [ 'ContextArn' => [ 'shape' => 'ContextArn', ], ], ], 'CreateDataQualityJobDefinitionRequest' => [ 'type' => 'structure', 'required' => [ 'JobDefinitionName', 'DataQualityAppSpecification', 'DataQualityJobInput', 'DataQualityJobOutputConfig', 'JobResources', 'RoleArn', ], 'members' => [ 'JobDefinitionName' => [ 'shape' => 'MonitoringJobDefinitionName', ], 'DataQualityBaselineConfig' => [ 'shape' => 'DataQualityBaselineConfig', ], 'DataQualityAppSpecification' => [ 'shape' => 'DataQualityAppSpecification', ], 'DataQualityJobInput' => [ 'shape' => 'DataQualityJobInput', ], 'DataQualityJobOutputConfig' => [ 'shape' => 'MonitoringOutputConfig', ], 'JobResources' => [ 'shape' => 'MonitoringResources', ], 'NetworkConfig' => [ 'shape' => 'MonitoringNetworkConfig', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'StoppingCondition' => [ 'shape' => 'MonitoringStoppingCondition', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateDataQualityJobDefinitionResponse' => [ 'type' => 'structure', 'required' => [ 'JobDefinitionArn', ], 'members' => [ 'JobDefinitionArn' => [ 'shape' => 'MonitoringJobDefinitionArn', ], ], ], 'CreateDeviceFleetRequest' => [ 'type' => 'structure', 'required' => [ 'DeviceFleetName', 'OutputConfig', ], 'members' => [ 'DeviceFleetName' => [ 'shape' => 'EntityName', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'Description' => [ 'shape' => 'DeviceFleetDescription', ], 'OutputConfig' => [ 'shape' => 'EdgeOutputConfig', ], 'Tags' => [ 'shape' => 'TagList', ], 'EnableIotRoleAlias' => [ 'shape' => 'EnableIotRoleAlias', ], ], ], 'CreateDomainRequest' => [ 'type' => 'structure', 'required' => [ 'DomainName', 'AuthMode', 'DefaultUserSettings', 'SubnetIds', 'VpcId', ], 'members' => [ 'DomainName' => [ 'shape' => 'DomainName', ], 'AuthMode' => [ 'shape' => 'AuthMode', ], 'DefaultUserSettings' => [ 'shape' => 'UserSettings', ], 'DomainSettings' => [ 'shape' => 'DomainSettings', ], 'SubnetIds' => [ 'shape' => 'Subnets', ], 'VpcId' => [ 'shape' => 'VpcId', ], 'Tags' => [ 'shape' => 'TagList', ], 'AppNetworkAccessType' => [ 'shape' => 'AppNetworkAccessType', ], 'HomeEfsFileSystemKmsKeyId' => [ 'shape' => 'KmsKeyId', 'deprecated' => true, 'deprecatedMessage' => 'This property is deprecated, use KmsKeyId instead.', ], 'KmsKeyId' => [ 'shape' => 'KmsKeyId', ], 'AppSecurityGroupManagement' => [ 'shape' => 'AppSecurityGroupManagement', ], 'TagPropagation' => [ 'shape' => 'TagPropagation', ], 'DefaultSpaceSettings' => [ 'shape' => 'DefaultSpaceSettings', ], ], ], 'CreateDomainResponse' => [ 'type' => 'structure', 'members' => [ 'DomainArn' => [ 'shape' => 'DomainArn', ], 'Url' => [ 'shape' => 'String1024', ], ], ], 'CreateEdgeDeploymentPlanRequest' => [ 'type' => 'structure', 'required' => [ 'EdgeDeploymentPlanName', 'ModelConfigs', 'DeviceFleetName', ], 'members' => [ 'EdgeDeploymentPlanName' => [ 'shape' => 'EntityName', ], 'ModelConfigs' => [ 'shape' => 'EdgeDeploymentModelConfigs', ], 'DeviceFleetName' => [ 'shape' => 'EntityName', ], 'Stages' => [ 'shape' => 'DeploymentStages', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateEdgeDeploymentPlanResponse' => [ 'type' => 'structure', 'required' => [ 'EdgeDeploymentPlanArn', ], 'members' => [ 'EdgeDeploymentPlanArn' => [ 'shape' => 'EdgeDeploymentPlanArn', ], ], ], 'CreateEdgeDeploymentStageRequest' => [ 'type' => 'structure', 'required' => [ 'EdgeDeploymentPlanName', 'Stages', ], 'members' => [ 'EdgeDeploymentPlanName' => [ 'shape' => 'EntityName', ], 'Stages' => [ 'shape' => 'DeploymentStages', ], ], ], 'CreateEdgePackagingJobRequest' => [ 'type' => 'structure', 'required' => [ 'EdgePackagingJobName', 'CompilationJobName', 'ModelName', 'ModelVersion', 'RoleArn', 'OutputConfig', ], 'members' => [ 'EdgePackagingJobName' => [ 'shape' => 'EntityName', ], 'CompilationJobName' => [ 'shape' => 'EntityName', ], 'ModelName' => [ 'shape' => 'EntityName', ], 'ModelVersion' => [ 'shape' => 'EdgeVersion', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'OutputConfig' => [ 'shape' => 'EdgeOutputConfig', ], 'ResourceKey' => [ 'shape' => 'KmsKeyId', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateEndpointConfigInput' => [ 'type' => 'structure', 'required' => [ 'EndpointConfigName', 'ProductionVariants', ], 'members' => [ 'EndpointConfigName' => [ 'shape' => 'EndpointConfigName', ], 'ProductionVariants' => [ 'shape' => 'ProductionVariantList', ], 'DataCaptureConfig' => [ 'shape' => 'DataCaptureConfig', ], 'Tags' => [ 'shape' => 'TagList', ], 'KmsKeyId' => [ 'shape' => 'KmsKeyId', ], 'AsyncInferenceConfig' => [ 'shape' => 'AsyncInferenceConfig', ], 'ExplainerConfig' => [ 'shape' => 'ExplainerConfig', ], 'ShadowProductionVariants' => [ 'shape' => 'ProductionVariantList', ], 'ExecutionRoleArn' => [ 'shape' => 'RoleArn', ], 'VpcConfig' => [ 'shape' => 'VpcConfig', ], 'EnableNetworkIsolation' => [ 'shape' => 'Boolean', ], ], ], 'CreateEndpointConfigOutput' => [ 'type' => 'structure', 'required' => [ 'EndpointConfigArn', ], 'members' => [ 'EndpointConfigArn' => [ 'shape' => 'EndpointConfigArn', ], ], ], 'CreateEndpointInput' => [ 'type' => 'structure', 'required' => [ 'EndpointName', 'EndpointConfigName', ], 'members' => [ 'EndpointName' => [ 'shape' => 'EndpointName', ], 'EndpointConfigName' => [ 'shape' => 'EndpointConfigName', ], 'DeploymentConfig' => [ 'shape' => 'DeploymentConfig', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateEndpointOutput' => [ 'type' => 'structure', 'required' => [ 'EndpointArn', ], 'members' => [ 'EndpointArn' => [ 'shape' => 'EndpointArn', ], ], ], 'CreateExperimentRequest' => [ 'type' => 'structure', 'required' => [ 'ExperimentName', ], 'members' => [ 'ExperimentName' => [ 'shape' => 'ExperimentEntityName', ], 'DisplayName' => [ 'shape' => 'ExperimentEntityName', ], 'Description' => [ 'shape' => 'ExperimentDescription', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateExperimentResponse' => [ 'type' => 'structure', 'members' => [ 'ExperimentArn' => [ 'shape' => 'ExperimentArn', ], ], ], 'CreateFeatureGroupRequest' => [ 'type' => 'structure', 'required' => [ 'FeatureGroupName', 'RecordIdentifierFeatureName', 'EventTimeFeatureName', 'FeatureDefinitions', ], 'members' => [ 'FeatureGroupName' => [ 'shape' => 'FeatureGroupName', ], 'RecordIdentifierFeatureName' => [ 'shape' => 'FeatureName', ], 'EventTimeFeatureName' => [ 'shape' => 'FeatureName', ], 'FeatureDefinitions' => [ 'shape' => 'FeatureDefinitions', ], 'OnlineStoreConfig' => [ 'shape' => 'OnlineStoreConfig', ], 'OfflineStoreConfig' => [ 'shape' => 'OfflineStoreConfig', ], 'ThroughputConfig' => [ 'shape' => 'ThroughputConfig', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'Description' => [ 'shape' => 'Description', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateFeatureGroupResponse' => [ 'type' => 'structure', 'required' => [ 'FeatureGroupArn', ], 'members' => [ 'FeatureGroupArn' => [ 'shape' => 'FeatureGroupArn', ], ], ], 'CreateFlowDefinitionRequest' => [ 'type' => 'structure', 'required' => [ 'FlowDefinitionName', 'OutputConfig', 'RoleArn', ], 'members' => [ 'FlowDefinitionName' => [ 'shape' => 'FlowDefinitionName', ], 'HumanLoopRequestSource' => [ 'shape' => 'HumanLoopRequestSource', ], 'HumanLoopActivationConfig' => [ 'shape' => 'HumanLoopActivationConfig', ], 'HumanLoopConfig' => [ 'shape' => 'HumanLoopConfig', ], 'OutputConfig' => [ 'shape' => 'FlowDefinitionOutputConfig', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateFlowDefinitionResponse' => [ 'type' => 'structure', 'required' => [ 'FlowDefinitionArn', ], 'members' => [ 'FlowDefinitionArn' => [ 'shape' => 'FlowDefinitionArn', ], ], ], 'CreateHubContentReferenceRequest' => [ 'type' => 'structure', 'required' => [ 'HubName', 'SageMakerPublicHubContentArn', ], 'members' => [ 'HubName' => [ 'shape' => 'HubNameOrArn', ], 'SageMakerPublicHubContentArn' => [ 'shape' => 'SageMakerPublicHubContentArn', ], 'HubContentName' => [ 'shape' => 'HubContentName', ], 'MinVersion' => [ 'shape' => 'HubContentVersion', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateHubContentReferenceResponse' => [ 'type' => 'structure', 'required' => [ 'HubArn', 'HubContentArn', ], 'members' => [ 'HubArn' => [ 'shape' => 'HubArn', ], 'HubContentArn' => [ 'shape' => 'HubContentArn', ], ], ], 'CreateHubRequest' => [ 'type' => 'structure', 'required' => [ 'HubName', 'HubDescription', ], 'members' => [ 'HubName' => [ 'shape' => 'HubName', ], 'HubDescription' => [ 'shape' => 'HubDescription', ], 'HubDisplayName' => [ 'shape' => 'HubDisplayName', ], 'HubSearchKeywords' => [ 'shape' => 'HubSearchKeywordList', ], 'S3StorageConfig' => [ 'shape' => 'HubS3StorageConfig', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateHubResponse' => [ 'type' => 'structure', 'required' => [ 'HubArn', ], 'members' => [ 'HubArn' => [ 'shape' => 'HubArn', ], ], ], 'CreateHumanTaskUiRequest' => [ 'type' => 'structure', 'required' => [ 'HumanTaskUiName', 'UiTemplate', ], 'members' => [ 'HumanTaskUiName' => [ 'shape' => 'HumanTaskUiName', ], 'UiTemplate' => [ 'shape' => 'UiTemplate', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateHumanTaskUiResponse' => [ 'type' => 'structure', 'required' => [ 'HumanTaskUiArn', ], 'members' => [ 'HumanTaskUiArn' => [ 'shape' => 'HumanTaskUiArn', ], ], ], 'CreateHyperParameterTuningJobRequest' => [ 'type' => 'structure', 'required' => [ 'HyperParameterTuningJobName', 'HyperParameterTuningJobConfig', ], 'members' => [ 'HyperParameterTuningJobName' => [ 'shape' => 'HyperParameterTuningJobName', ], 'HyperParameterTuningJobConfig' => [ 'shape' => 'HyperParameterTuningJobConfig', ], 'TrainingJobDefinition' => [ 'shape' => 'HyperParameterTrainingJobDefinition', ], 'TrainingJobDefinitions' => [ 'shape' => 'HyperParameterTrainingJobDefinitions', ], 'WarmStartConfig' => [ 'shape' => 'HyperParameterTuningJobWarmStartConfig', ], 'Tags' => [ 'shape' => 'TagList', ], 'Autotune' => [ 'shape' => 'Autotune', ], ], ], 'CreateHyperParameterTuningJobResponse' => [ 'type' => 'structure', 'required' => [ 'HyperParameterTuningJobArn', ], 'members' => [ 'HyperParameterTuningJobArn' => [ 'shape' => 'HyperParameterTuningJobArn', ], ], ], 'CreateImageRequest' => [ 'type' => 'structure', 'required' => [ 'ImageName', 'RoleArn', ], 'members' => [ 'Description' => [ 'shape' => 'ImageDescription', ], 'DisplayName' => [ 'shape' => 'ImageDisplayName', ], 'ImageName' => [ 'shape' => 'ImageName', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateImageResponse' => [ 'type' => 'structure', 'members' => [ 'ImageArn' => 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'DependencyCopyPath' => [ 'type' => 'string', 'max' => 1023, 'pattern' => '.*', ], 'DependencyOriginPath' => [ 'type' => 'string', 'max' => 1023, 'pattern' => '.*', ], 'DeployedImage' => [ 'type' => 'structure', 'members' => [ 'SpecifiedImage' => [ 'shape' => 'ContainerImage', ], 'ResolvedImage' => [ 'shape' => 'ContainerImage', ], 'ResolutionTime' => [ 'shape' => 'Timestamp', ], ], ], 'DeployedImages' => [ 'type' => 'list', 'member' => [ 'shape' => 'DeployedImage', ], ], 'DeploymentConfig' => [ 'type' => 'structure', 'members' => [ 'BlueGreenUpdatePolicy' => [ 'shape' => 'BlueGreenUpdatePolicy', ], 'RollingUpdatePolicy' => [ 'shape' => 'RollingUpdatePolicy', ], 'AutoRollbackConfiguration' => [ 'shape' => 'AutoRollbackConfig', ], ], ], 'DeploymentRecommendation' => [ 'type' => 'structure', 'required' => [ 'RecommendationStatus', ], 'members' => [ 'RecommendationStatus' => [ 'shape' => 'RecommendationStatus', ], 'RealTimeInferenceRecommendations' => [ 'shape' => 'RealTimeInferenceRecommendations', ], ], ], 'DeploymentStage' => [ 'type' => 'structure', 'required' => [ 'StageName', 'DeviceSelectionConfig', ], 'members' => [ 'StageName' => [ 'shape' => 'EntityName', ], 'DeviceSelectionConfig' => [ 'shape' => 'DeviceSelectionConfig', ], 'DeploymentConfig' => [ 'shape' => 'EdgeDeploymentConfig', ], ], ], 'DeploymentStageMaxResults' => [ 'type' => 'integer', 'max' => 10, ], 'DeploymentStageStatusSummaries' => [ 'type' => 'list', 'member' => [ 'shape' => 'DeploymentStageStatusSummary', ], ], 'DeploymentStageStatusSummary' => [ 'type' => 'structure', 'required' => [ 'StageName', 'DeviceSelectionConfig', 'DeploymentConfig', 'DeploymentStatus', ], 'members' => [ 'StageName' => [ 'shape' => 'EntityName', ], 'DeviceSelectionConfig' => [ 'shape' => 'DeviceSelectionConfig', ], 'DeploymentConfig' => [ 'shape' => 'EdgeDeploymentConfig', ], 'DeploymentStatus' => [ 'shape' => 'EdgeDeploymentStatus', ], ], ], 'DeploymentStages' => [ 'type' => 'list', 'member' => [ 'shape' => 'DeploymentStage', ], ], 'DeregisterDevicesRequest' => [ 'type' => 'structure', 'required' => [ 'DeviceFleetName', 'DeviceNames', ], 'members' => [ 'DeviceFleetName' => [ 'shape' => 'EntityName', ], 'DeviceNames' => [ 'shape' => 'DeviceNames', ], ], ], 'DerivedInformation' => [ 'type' => 'structure', 'members' => [ 'DerivedDataInputConfig' => [ 'shape' => 'DataInputConfig', ], ], ], 'DescribeActionRequest' => [ 'type' => 'structure', 'required' => [ 'ActionName', ], 'members' => [ 'ActionName' => [ 'shape' => 'ExperimentEntityNameOrArn', ], ], ], 'DescribeActionResponse' => [ 'type' => 'structure', 'members' => [ 'ActionName' => [ 'shape' => 'ExperimentEntityNameOrArn', ], 'ActionArn' => [ 'shape' => 'ActionArn', ], 'Source' => [ 'shape' => 'ActionSource', ], 'ActionType' => [ 'shape' => 'String256', ], 'Description' => [ 'shape' => 'ExperimentDescription', ], 'Status' => [ 'shape' => 'ActionStatus', ], 'Properties' => [ 'shape' => 'LineageEntityParameters', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'CreatedBy' => [ 'shape' => 'UserContext', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedBy' => [ 'shape' => 'UserContext', ], 'MetadataProperties' => [ 'shape' => 'MetadataProperties', ], 'LineageGroupArn' => [ 'shape' => 'LineageGroupArn', ], ], ], 'DescribeAlgorithmInput' => [ 'type' => 'structure', 'required' => [ 'AlgorithmName', ], 'members' => [ 'AlgorithmName' => [ 'shape' => 'ArnOrName', ], ], ], 'DescribeAlgorithmOutput' => [ 'type' => 'structure', 'required' => [ 'AlgorithmName', 'AlgorithmArn', 'CreationTime', 'TrainingSpecification', 'AlgorithmStatus', 'AlgorithmStatusDetails', ], 'members' => [ 'AlgorithmName' => [ 'shape' => 'EntityName', ], 'AlgorithmArn' => [ 'shape' => 'AlgorithmArn', ], 'AlgorithmDescription' => [ 'shape' => 'EntityDescription', ], 'CreationTime' => [ 'shape' => 'CreationTime', ], 'TrainingSpecification' => [ 'shape' => 'TrainingSpecification', ], 'InferenceSpecification' => [ 'shape' => 'InferenceSpecification', ], 'ValidationSpecification' => [ 'shape' => 'AlgorithmValidationSpecification', ], 'AlgorithmStatus' => [ 'shape' => 'AlgorithmStatus', ], 'AlgorithmStatusDetails' => [ 'shape' => 'AlgorithmStatusDetails', ], 'ProductId' => [ 'shape' => 'ProductId', ], 'CertifyForMarketplace' => [ 'shape' => 'CertifyForMarketplace', ], ], ], 'DescribeAppImageConfigRequest' => [ 'type' => 'structure', 'required' => [ 'AppImageConfigName', ], 'members' => [ 'AppImageConfigName' => [ 'shape' => 'AppImageConfigName', ], ], ], 'DescribeAppImageConfigResponse' => [ 'type' => 'structure', 'members' => [ 'AppImageConfigArn' => [ 'shape' => 'AppImageConfigArn', ], 'AppImageConfigName' => [ 'shape' => 'AppImageConfigName', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'KernelGatewayImageConfig' => [ 'shape' => 'KernelGatewayImageConfig', ], 'JupyterLabAppImageConfig' => [ 'shape' => 'JupyterLabAppImageConfig', ], 'CodeEditorAppImageConfig' => [ 'shape' => 'CodeEditorAppImageConfig', ], ], ], 'DescribeAppRequest' => [ 'type' => 'structure', 'required' => [ 'DomainId', 'AppType', 'AppName', ], 'members' => [ 'DomainId' => [ 'shape' => 'DomainId', ], 'UserProfileName' => [ 'shape' => 'UserProfileName', ], 'SpaceName' => [ 'shape' => 'SpaceName', ], 'AppType' => [ 'shape' => 'AppType', ], 'AppName' => [ 'shape' => 'AppName', ], ], ], 'DescribeAppResponse' => [ 'type' => 'structure', 'members' => [ 'AppArn' => [ 'shape' => 'AppArn', ], 'AppType' => [ 'shape' => 'AppType', ], 'AppName' => [ 'shape' => 'AppName', ], 'DomainId' => [ 'shape' => 'DomainId', ], 'UserProfileName' => [ 'shape' => 'UserProfileName', ], 'SpaceName' => [ 'shape' => 'SpaceName', ], 'Status' => [ 'shape' => 'AppStatus', ], 'LastHealthCheckTimestamp' => [ 'shape' => 'Timestamp', ], 'LastUserActivityTimestamp' => [ 'shape' => 'Timestamp', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'ResourceSpec' => [ 'shape' => 'ResourceSpec', ], 'BuiltInLifecycleConfigArn' => [ 'shape' => 'StudioLifecycleConfigArn', ], ], ], 'DescribeArtifactRequest' => [ 'type' => 'structure', 'required' => [ 'ArtifactArn', ], 'members' => [ 'ArtifactArn' => [ 'shape' => 'ArtifactArn', ], ], ], 'DescribeArtifactResponse' => [ 'type' => 'structure', 'members' => [ 'ArtifactName' => [ 'shape' => 'ExperimentEntityNameOrArn', ], 'ArtifactArn' => [ 'shape' => 'ArtifactArn', ], 'Source' => [ 'shape' => 'ArtifactSource', ], 'ArtifactType' => [ 'shape' => 'String256', ], 'Properties' => [ 'shape' => 'LineageEntityParameters', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'CreatedBy' => [ 'shape' => 'UserContext', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedBy' => [ 'shape' => 'UserContext', ], 'MetadataProperties' => [ 'shape' => 'MetadataProperties', ], 'LineageGroupArn' => [ 'shape' => 'LineageGroupArn', ], ], ], 'DescribeAutoMLJobRequest' => [ 'type' => 'structure', 'required' => [ 'AutoMLJobName', ], 'members' => [ 'AutoMLJobName' => [ 'shape' => 'AutoMLJobName', ], ], ], 'DescribeAutoMLJobResponse' => [ 'type' => 'structure', 'required' => [ 'AutoMLJobName', 'AutoMLJobArn', 'InputDataConfig', 'OutputDataConfig', 'RoleArn', 'CreationTime', 'LastModifiedTime', 'AutoMLJobStatus', 'AutoMLJobSecondaryStatus', ], 'members' => [ 'AutoMLJobName' => [ 'shape' => 'AutoMLJobName', ], 'AutoMLJobArn' => [ 'shape' => 'AutoMLJobArn', ], 'InputDataConfig' => [ 'shape' => 'AutoMLInputDataConfig', ], 'OutputDataConfig' => [ 'shape' => 'AutoMLOutputDataConfig', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'AutoMLJobObjective' => [ 'shape' => 'AutoMLJobObjective', ], 'ProblemType' => [ 'shape' => 'ProblemType', ], 'AutoMLJobConfig' => [ 'shape' => 'AutoMLJobConfig', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'EndTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'FailureReason' => [ 'shape' => 'AutoMLFailureReason', ], 'PartialFailureReasons' => [ 'shape' => 'AutoMLPartialFailureReasons', ], 'BestCandidate' => [ 'shape' => 'AutoMLCandidate', ], 'AutoMLJobStatus' => [ 'shape' => 'AutoMLJobStatus', ], 'AutoMLJobSecondaryStatus' => [ 'shape' => 'AutoMLJobSecondaryStatus', ], 'GenerateCandidateDefinitionsOnly' => [ 'shape' => 'GenerateCandidateDefinitionsOnly', ], 'AutoMLJobArtifacts' => [ 'shape' => 'AutoMLJobArtifacts', ], 'ResolvedAttributes' => [ 'shape' => 'ResolvedAttributes', ], 'ModelDeployConfig' => [ 'shape' => 'ModelDeployConfig', ], 'ModelDeployResult' => [ 'shape' => 'ModelDeployResult', ], ], ], 'DescribeAutoMLJobV2Request' => [ 'type' => 'structure', 'required' => [ 'AutoMLJobName', ], 'members' => [ 'AutoMLJobName' => [ 'shape' => 'AutoMLJobName', ], ], ], 'DescribeAutoMLJobV2Response' => [ 'type' => 'structure', 'required' => [ 'AutoMLJobName', 'AutoMLJobArn', 'AutoMLJobInputDataConfig', 'OutputDataConfig', 'RoleArn', 'CreationTime', 'LastModifiedTime', 'AutoMLJobStatus', 'AutoMLJobSecondaryStatus', ], 'members' => [ 'AutoMLJobName' => [ 'shape' => 'AutoMLJobName', ], 'AutoMLJobArn' => [ 'shape' => 'AutoMLJobArn', ], 'AutoMLJobInputDataConfig' => [ 'shape' => 'AutoMLJobInputDataConfig', ], 'OutputDataConfig' => [ 'shape' => 'AutoMLOutputDataConfig', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'AutoMLJobObjective' => [ 'shape' => 'AutoMLJobObjective', ], 'AutoMLProblemTypeConfig' => [ 'shape' => 'AutoMLProblemTypeConfig', ], 'AutoMLProblemTypeConfigName' => [ 'shape' => 'AutoMLProblemTypeConfigName', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'EndTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'FailureReason' => [ 'shape' => 'AutoMLFailureReason', ], 'PartialFailureReasons' => [ 'shape' => 'AutoMLPartialFailureReasons', ], 'BestCandidate' => [ 'shape' => 'AutoMLCandidate', ], 'AutoMLJobStatus' => [ 'shape' => 'AutoMLJobStatus', ], 'AutoMLJobSecondaryStatus' => [ 'shape' => 'AutoMLJobSecondaryStatus', ], 'AutoMLJobArtifacts' => [ 'shape' => 'AutoMLJobArtifacts', ], 'ResolvedAttributes' => [ 'shape' => 'AutoMLResolvedAttributes', ], 'ModelDeployConfig' => [ 'shape' => 'ModelDeployConfig', ], 'ModelDeployResult' => [ 'shape' => 'ModelDeployResult', ], 'DataSplitConfig' => [ 'shape' => 'AutoMLDataSplitConfig', ], 'SecurityConfig' => [ 'shape' => 'AutoMLSecurityConfig', ], 'AutoMLComputeConfig' => [ 'shape' => 'AutoMLComputeConfig', ], ], ], 'DescribeClusterNodeRequest' => [ 'type' => 'structure', 'required' => [ 'ClusterName', 'NodeId', ], 'members' => [ 'ClusterName' => [ 'shape' => 'ClusterNameOrArn', ], 'NodeId' => [ 'shape' => 'ClusterNodeId', ], ], ], 'DescribeClusterNodeResponse' => [ 'type' => 'structure', 'required' => [ 'NodeDetails', ], 'members' => [ 'NodeDetails' => [ 'shape' => 'ClusterNodeDetails', ], ], ], 'DescribeClusterRequest' => [ 'type' => 'structure', 'required' => [ 'ClusterName', ], 'members' => [ 'ClusterName' => [ 'shape' => 'ClusterNameOrArn', ], ], ], 'DescribeClusterResponse' => [ 'type' => 'structure', 'required' => [ 'ClusterArn', 'ClusterStatus', 'InstanceGroups', ], 'members' => [ 'ClusterArn' => [ 'shape' => 'ClusterArn', ], 'ClusterName' => [ 'shape' => 'ClusterName', ], 'ClusterStatus' => [ 'shape' => 'ClusterStatus', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'FailureMessage' => [ 'shape' => 'String', ], 'InstanceGroups' => [ 'shape' => 'ClusterInstanceGroupDetailsList', ], 'VpcConfig' => [ 'shape' => 'VpcConfig', ], 'Orchestrator' => [ 'shape' => 'ClusterOrchestrator', ], 'NodeRecovery' => [ 'shape' => 'ClusterNodeRecovery', ], ], ], 'DescribeClusterSchedulerConfigRequest' => [ 'type' => 'structure', 'required' => [ 'ClusterSchedulerConfigId', ], 'members' => [ 'ClusterSchedulerConfigId' => [ 'shape' => 'ClusterSchedulerConfigId', ], 'ClusterSchedulerConfigVersion' => [ 'shape' => 'Integer', ], ], ], 'DescribeClusterSchedulerConfigResponse' => [ 'type' => 'structure', 'required' => [ 'ClusterSchedulerConfigArn', 'ClusterSchedulerConfigId', 'Name', 'ClusterSchedulerConfigVersion', 'Status', 'CreationTime', ], 'members' => [ 'ClusterSchedulerConfigArn' => [ 'shape' => 'ClusterSchedulerConfigArn', ], 'ClusterSchedulerConfigId' => [ 'shape' => 'ClusterSchedulerConfigId', ], 'Name' => [ 'shape' => 'EntityName', ], 'ClusterSchedulerConfigVersion' => [ 'shape' => 'Integer', ], 'Status' => [ 'shape' => 'SchedulerResourceStatus', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'ClusterArn' => [ 'shape' => 'ClusterArn', ], 'SchedulerConfig' => [ 'shape' => 'SchedulerConfig', ], 'Description' => [ 'shape' => 'EntityDescription', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'CreatedBy' => [ 'shape' => 'UserContext', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedBy' => [ 'shape' => 'UserContext', ], ], ], 'DescribeCodeRepositoryInput' => [ 'type' => 'structure', 'required' => [ 'CodeRepositoryName', ], 'members' => [ 'CodeRepositoryName' => [ 'shape' => 'EntityName', ], ], ], 'DescribeCodeRepositoryOutput' => [ 'type' => 'structure', 'required' => [ 'CodeRepositoryName', 'CodeRepositoryArn', 'CreationTime', 'LastModifiedTime', ], 'members' => [ 'CodeRepositoryName' => [ 'shape' => 'EntityName', ], 'CodeRepositoryArn' => [ 'shape' => 'CodeRepositoryArn', ], 'CreationTime' => [ 'shape' => 'CreationTime', ], 'LastModifiedTime' => [ 'shape' => 'LastModifiedTime', ], 'GitConfig' => [ 'shape' => 'GitConfig', ], ], ], 'DescribeCompilationJobRequest' => [ 'type' => 'structure', 'required' => [ 'CompilationJobName', ], 'members' => [ 'CompilationJobName' => [ 'shape' => 'EntityName', ], ], ], 'DescribeCompilationJobResponse' => [ 'type' => 'structure', 'required' => [ 'CompilationJobName', 'CompilationJobArn', 'CompilationJobStatus', 'StoppingCondition', 'CreationTime', 'LastModifiedTime', 'FailureReason', 'ModelArtifacts', 'RoleArn', 'InputConfig', 'OutputConfig', ], 'members' => [ 'CompilationJobName' => [ 'shape' => 'EntityName', ], 'CompilationJobArn' => [ 'shape' => 'CompilationJobArn', ], 'CompilationJobStatus' => [ 'shape' => 'CompilationJobStatus', ], 'CompilationStartTime' => [ 'shape' => 'Timestamp', ], 'CompilationEndTime' => [ 'shape' => 'Timestamp', ], 'StoppingCondition' => [ 'shape' => 'StoppingCondition', ], 'InferenceImage' => [ 'shape' => 'InferenceImage', ], 'ModelPackageVersionArn' => [ 'shape' => 'ModelPackageArn', ], 'CreationTime' => [ 'shape' => 'CreationTime', ], 'LastModifiedTime' => [ 'shape' => 'LastModifiedTime', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'ModelArtifacts' => [ 'shape' => 'ModelArtifacts', ], 'ModelDigests' => [ 'shape' => 'ModelDigests', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'InputConfig' => [ 'shape' => 'InputConfig', ], 'OutputConfig' => [ 'shape' => 'OutputConfig', ], 'VpcConfig' => [ 'shape' => 'NeoVpcConfig', ], 'DerivedInformation' => [ 'shape' => 'DerivedInformation', ], ], ], 'DescribeComputeQuotaRequest' => [ 'type' => 'structure', 'required' => [ 'ComputeQuotaId', ], 'members' => [ 'ComputeQuotaId' => [ 'shape' => 'ComputeQuotaId', ], 'ComputeQuotaVersion' => [ 'shape' => 'Integer', ], ], ], 'DescribeComputeQuotaResponse' => [ 'type' => 'structure', 'required' => [ 'ComputeQuotaArn', 'ComputeQuotaId', 'Name', 'ComputeQuotaVersion', 'Status', 'ComputeQuotaTarget', 'CreationTime', ], 'members' => [ 'ComputeQuotaArn' => [ 'shape' => 'ComputeQuotaArn', ], 'ComputeQuotaId' => [ 'shape' => 'ComputeQuotaId', ], 'Name' => [ 'shape' => 'EntityName', ], 'Description' => [ 'shape' => 'EntityDescription', ], 'ComputeQuotaVersion' => [ 'shape' => 'Integer', ], 'Status' => [ 'shape' => 'SchedulerResourceStatus', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'ClusterArn' => [ 'shape' => 'ClusterArn', ], 'ComputeQuotaConfig' => [ 'shape' => 'ComputeQuotaConfig', ], 'ComputeQuotaTarget' => [ 'shape' => 'ComputeQuotaTarget', ], 'ActivationState' => [ 'shape' => 'ActivationState', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'CreatedBy' => [ 'shape' => 'UserContext', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedBy' => [ 'shape' => 'UserContext', ], ], ], 'DescribeContextRequest' => [ 'type' => 'structure', 'required' => [ 'ContextName', ], 'members' => [ 'ContextName' => [ 'shape' => 'ContextNameOrArn', ], ], ], 'DescribeContextResponse' => [ 'type' => 'structure', 'members' => [ 'ContextName' => [ 'shape' => 'ContextName', ], 'ContextArn' => [ 'shape' => 'ContextArn', ], 'Source' => [ 'shape' => 'ContextSource', ], 'ContextType' => [ 'shape' => 'String256', ], 'Description' => [ 'shape' => 'ExperimentDescription', ], 'Properties' => [ 'shape' => 'LineageEntityParameters', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'CreatedBy' => [ 'shape' => 'UserContext', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedBy' => [ 'shape' => 'UserContext', ], 'LineageGroupArn' => [ 'shape' => 'LineageGroupArn', ], ], ], 'DescribeDataQualityJobDefinitionRequest' => [ 'type' => 'structure', 'required' => [ 'JobDefinitionName', ], 'members' => [ 'JobDefinitionName' => [ 'shape' => 'MonitoringJobDefinitionName', ], ], ], 'DescribeDataQualityJobDefinitionResponse' => [ 'type' => 'structure', 'required' => [ 'JobDefinitionArn', 'JobDefinitionName', 'CreationTime', 'DataQualityAppSpecification', 'DataQualityJobInput', 'DataQualityJobOutputConfig', 'JobResources', 'RoleArn', ], 'members' => [ 'JobDefinitionArn' => [ 'shape' => 'MonitoringJobDefinitionArn', ], 'JobDefinitionName' => [ 'shape' => 'MonitoringJobDefinitionName', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'DataQualityBaselineConfig' => [ 'shape' => 'DataQualityBaselineConfig', ], 'DataQualityAppSpecification' => [ 'shape' => 'DataQualityAppSpecification', ], 'DataQualityJobInput' => [ 'shape' => 'DataQualityJobInput', ], 'DataQualityJobOutputConfig' => [ 'shape' => 'MonitoringOutputConfig', ], 'JobResources' => [ 'shape' => 'MonitoringResources', ], 'NetworkConfig' => [ 'shape' => 'MonitoringNetworkConfig', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'StoppingCondition' => [ 'shape' => 'MonitoringStoppingCondition', ], ], ], 'DescribeDeviceFleetRequest' => [ 'type' => 'structure', 'required' => [ 'DeviceFleetName', ], 'members' => [ 'DeviceFleetName' => [ 'shape' => 'EntityName', ], ], ], 'DescribeDeviceFleetResponse' => [ 'type' => 'structure', 'required' => [ 'DeviceFleetName', 'DeviceFleetArn', 'OutputConfig', 'CreationTime', 'LastModifiedTime', ], 'members' => [ 'DeviceFleetName' => [ 'shape' => 'EntityName', ], 'DeviceFleetArn' => [ 'shape' => 'DeviceFleetArn', ], 'OutputConfig' => [ 'shape' => 'EdgeOutputConfig', ], 'Description' => [ 'shape' => 'DeviceFleetDescription', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'IotRoleAlias' => [ 'shape' => 'IotRoleAlias', ], ], ], 'DescribeDeviceRequest' => [ 'type' => 'structure', 'required' => [ 'DeviceName', 'DeviceFleetName', ], 'members' => [ 'NextToken' => [ 'shape' => 'NextToken', ], 'DeviceName' => [ 'shape' => 'EntityName', ], 'DeviceFleetName' => [ 'shape' => 'EntityName', ], ], ], 'DescribeDeviceResponse' => [ 'type' => 'structure', 'required' => [ 'DeviceName', 'DeviceFleetName', 'RegistrationTime', ], 'members' => [ 'DeviceArn' => [ 'shape' => 'DeviceArn', ], 'DeviceName' => [ 'shape' => 'EntityName', ], 'Description' => [ 'shape' => 'DeviceDescription', ], 'DeviceFleetName' => [ 'shape' => 'EntityName', ], 'IotThingName' => [ 'shape' => 'ThingName', ], 'RegistrationTime' => [ 'shape' => 'Timestamp', ], 'LatestHeartbeat' => [ 'shape' => 'Timestamp', ], 'Models' => [ 'shape' => 'EdgeModels', ], 'MaxModels' => [ 'shape' => 'Integer', ], 'NextToken' => [ 'shape' => 'NextToken', ], 'AgentVersion' => [ 'shape' => 'EdgeVersion', ], ], ], 'DescribeDomainRequest' => [ 'type' => 'structure', 'required' => [ 'DomainId', ], 'members' => [ 'DomainId' => [ 'shape' => 'DomainId', ], ], ], 'DescribeDomainResponse' => [ 'type' => 'structure', 'members' => [ 'DomainArn' => [ 'shape' => 'DomainArn', ], 'DomainId' => [ 'shape' => 'DomainId', ], 'DomainName' => [ 'shape' => 'DomainName', ], 'HomeEfsFileSystemId' => [ 'shape' => 'ResourceId', ], 'SingleSignOnManagedApplicationInstanceId' => [ 'shape' => 'String256', ], 'SingleSignOnApplicationArn' => [ 'shape' => 'SingleSignOnApplicationArn', ], 'Status' => [ 'shape' => 'DomainStatus', ], 'CreationTime' => [ 'shape' => 'CreationTime', ], 'LastModifiedTime' => [ 'shape' => 'LastModifiedTime', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'SecurityGroupIdForDomainBoundary' => [ 'shape' => 'SecurityGroupId', ], 'AuthMode' => [ 'shape' => 'AuthMode', ], 'DefaultUserSettings' => [ 'shape' => 'UserSettings', ], 'DomainSettings' => [ 'shape' => 'DomainSettings', ], 'AppNetworkAccessType' => [ 'shape' => 'AppNetworkAccessType', ], 'HomeEfsFileSystemKmsKeyId' => [ 'shape' => 'KmsKeyId', 'deprecated' => true, 'deprecatedMessage' => 'This property is deprecated, use KmsKeyId instead.', ], 'SubnetIds' => [ 'shape' => 'Subnets', ], 'Url' => [ 'shape' => 'String1024', ], 'VpcId' => [ 'shape' => 'VpcId', ], 'KmsKeyId' => [ 'shape' => 'KmsKeyId', ], 'AppSecurityGroupManagement' => [ 'shape' => 'AppSecurityGroupManagement', ], 'TagPropagation' => [ 'shape' => 'TagPropagation', ], 'DefaultSpaceSettings' => [ 'shape' => 'DefaultSpaceSettings', ], ], ], 'DescribeEdgeDeploymentPlanRequest' => [ 'type' => 'structure', 'required' => [ 'EdgeDeploymentPlanName', ], 'members' => [ 'EdgeDeploymentPlanName' => [ 'shape' => 'EntityName', ], 'NextToken' => [ 'shape' => 'NextToken', ], 'MaxResults' => [ 'shape' => 'DeploymentStageMaxResults', ], ], ], 'DescribeEdgeDeploymentPlanResponse' => [ 'type' => 'structure', 'required' => [ 'EdgeDeploymentPlanArn', 'EdgeDeploymentPlanName', 'ModelConfigs', 'DeviceFleetName', 'Stages', ], 'members' => [ 'EdgeDeploymentPlanArn' => [ 'shape' => 'EdgeDeploymentPlanArn', ], 'EdgeDeploymentPlanName' => [ 'shape' => 'EntityName', ], 'ModelConfigs' => [ 'shape' => 'EdgeDeploymentModelConfigs', ], 'DeviceFleetName' => [ 'shape' => 'EntityName', ], 'EdgeDeploymentSuccess' => [ 'shape' => 'Integer', ], 'EdgeDeploymentPending' => [ 'shape' => 'Integer', ], 'EdgeDeploymentFailed' => [ 'shape' => 'Integer', ], 'Stages' => [ 'shape' => 'DeploymentStageStatusSummaries', ], 'NextToken' => [ 'shape' => 'NextToken', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], ], ], 'DescribeEdgePackagingJobRequest' => [ 'type' => 'structure', 'required' => [ 'EdgePackagingJobName', ], 'members' => [ 'EdgePackagingJobName' => [ 'shape' => 'EntityName', ], ], ], 'DescribeEdgePackagingJobResponse' => [ 'type' => 'structure', 'required' => [ 'EdgePackagingJobArn', 'EdgePackagingJobName', 'EdgePackagingJobStatus', ], 'members' => [ 'EdgePackagingJobArn' => [ 'shape' => 'EdgePackagingJobArn', ], 'EdgePackagingJobName' => [ 'shape' => 'EntityName', ], 'CompilationJobName' => [ 'shape' => 'EntityName', ], 'ModelName' => [ 'shape' => 'EntityName', ], 'ModelVersion' => [ 'shape' => 'EdgeVersion', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'OutputConfig' => [ 'shape' => 'EdgeOutputConfig', ], 'ResourceKey' => [ 'shape' => 'KmsKeyId', ], 'EdgePackagingJobStatus' => [ 'shape' => 'EdgePackagingJobStatus', ], 'EdgePackagingJobStatusMessage' => [ 'shape' => 'String', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'ModelArtifact' => [ 'shape' => 'S3Uri', ], 'ModelSignature' => [ 'shape' => 'String', ], 'PresetDeploymentOutput' => [ 'shape' => 'EdgePresetDeploymentOutput', ], ], ], 'DescribeEndpointConfigInput' => [ 'type' => 'structure', 'required' => [ 'EndpointConfigName', ], 'members' => [ 'EndpointConfigName' => [ 'shape' => 'EndpointConfigName', ], ], ], 'DescribeEndpointConfigOutput' => [ 'type' => 'structure', 'required' => [ 'EndpointConfigName', 'EndpointConfigArn', 'ProductionVariants', 'CreationTime', ], 'members' => [ 'EndpointConfigName' => [ 'shape' => 'EndpointConfigName', ], 'EndpointConfigArn' => [ 'shape' => 'EndpointConfigArn', ], 'ProductionVariants' => [ 'shape' => 'ProductionVariantList', ], 'DataCaptureConfig' => [ 'shape' => 'DataCaptureConfig', ], 'KmsKeyId' => [ 'shape' => 'KmsKeyId', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'AsyncInferenceConfig' => [ 'shape' => 'AsyncInferenceConfig', ], 'ExplainerConfig' => [ 'shape' => 'ExplainerConfig', ], 'ShadowProductionVariants' => [ 'shape' => 'ProductionVariantList', ], 'ExecutionRoleArn' => [ 'shape' => 'RoleArn', ], 'VpcConfig' => [ 'shape' => 'VpcConfig', ], 'EnableNetworkIsolation' => [ 'shape' => 'Boolean', ], ], ], 'DescribeEndpointInput' => [ 'type' => 'structure', 'required' => [ 'EndpointName', ], 'members' => [ 'EndpointName' => [ 'shape' => 'EndpointName', ], ], ], 'DescribeEndpointOutput' => [ 'type' => 'structure', 'required' => [ 'EndpointName', 'EndpointArn', 'EndpointStatus', 'CreationTime', 'LastModifiedTime', ], 'members' => [ 'EndpointName' => [ 'shape' => 'EndpointName', ], 'EndpointArn' => [ 'shape' => 'EndpointArn', ], 'EndpointConfigName' => [ 'shape' => 'EndpointConfigName', ], 'ProductionVariants' => [ 'shape' => 'ProductionVariantSummaryList', ], 'DataCaptureConfig' => [ 'shape' => 'DataCaptureConfigSummary', ], 'EndpointStatus' => [ 'shape' => 'EndpointStatus', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastDeploymentConfig' => [ 'shape' => 'DeploymentConfig', ], 'AsyncInferenceConfig' => [ 'shape' => 'AsyncInferenceConfig', ], 'PendingDeploymentSummary' => [ 'shape' => 'PendingDeploymentSummary', ], 'ExplainerConfig' => [ 'shape' => 'ExplainerConfig', ], 'ShadowProductionVariants' => [ 'shape' => 'ProductionVariantSummaryList', ], ], ], 'DescribeExperimentRequest' => [ 'type' => 'structure', 'required' => [ 'ExperimentName', ], 'members' => [ 'ExperimentName' => [ 'shape' => 'ExperimentEntityName', ], ], ], 'DescribeExperimentResponse' => [ 'type' => 'structure', 'members' => [ 'ExperimentName' => [ 'shape' => 'ExperimentEntityName', ], 'ExperimentArn' => [ 'shape' => 'ExperimentArn', ], 'DisplayName' => [ 'shape' => 'ExperimentEntityName', ], 'Source' => [ 'shape' => 'ExperimentSource', ], 'Description' => [ 'shape' => 'ExperimentDescription', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'CreatedBy' => [ 'shape' => 'UserContext', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedBy' => [ 'shape' => 'UserContext', ], ], ], 'DescribeFeatureGroupRequest' => [ 'type' => 'structure', 'required' => [ 'FeatureGroupName', ], 'members' => [ 'FeatureGroupName' => [ 'shape' => 'FeatureGroupNameOrArn', ], 'NextToken' => [ 'shape' => 'NextToken', ], ], ], 'DescribeFeatureGroupResponse' => [ 'type' => 'structure', 'required' => [ 'FeatureGroupArn', 'FeatureGroupName', 'RecordIdentifierFeatureName', 'EventTimeFeatureName', 'FeatureDefinitions', 'CreationTime', 'NextToken', ], 'members' => [ 'FeatureGroupArn' => [ 'shape' => 'FeatureGroupArn', ], 'FeatureGroupName' => [ 'shape' => 'FeatureGroupName', ], 'RecordIdentifierFeatureName' => [ 'shape' => 'FeatureName', ], 'EventTimeFeatureName' => [ 'shape' => 'FeatureName', ], 'FeatureDefinitions' => [ 'shape' => 'FeatureDefinitions', ], 'CreationTime' => [ 'shape' => 'CreationTime', ], 'LastModifiedTime' => [ 'shape' => 'LastModifiedTime', ], 'OnlineStoreConfig' => [ 'shape' => 'OnlineStoreConfig', ], 'OfflineStoreConfig' => [ 'shape' => 'OfflineStoreConfig', ], 'ThroughputConfig' => [ 'shape' => 'ThroughputConfigDescription', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'FeatureGroupStatus' => [ 'shape' => 'FeatureGroupStatus', ], 'OfflineStoreStatus' => [ 'shape' => 'OfflineStoreStatus', ], 'LastUpdateStatus' => [ 'shape' => 'LastUpdateStatus', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'Description' => [ 'shape' => 'Description', ], 'NextToken' => [ 'shape' => 'NextToken', ], 'OnlineStoreTotalSizeBytes' => [ 'shape' => 'OnlineStoreTotalSizeBytes', ], ], ], 'DescribeFeatureMetadataRequest' => [ 'type' => 'structure', 'required' => [ 'FeatureGroupName', 'FeatureName', ], 'members' => [ 'FeatureGroupName' => [ 'shape' => 'FeatureGroupNameOrArn', ], 'FeatureName' => [ 'shape' => 'FeatureName', ], ], ], 'DescribeFeatureMetadataResponse' => [ 'type' => 'structure', 'required' => [ 'FeatureGroupArn', 'FeatureGroupName', 'FeatureName', 'FeatureType', 'CreationTime', 'LastModifiedTime', ], 'members' => [ 'FeatureGroupArn' => [ 'shape' => 'FeatureGroupArn', ], 'FeatureGroupName' => [ 'shape' => 'FeatureGroupName', ], 'FeatureName' => [ 'shape' => 'FeatureName', ], 'FeatureType' => [ 'shape' => 'FeatureType', ], 'CreationTime' => [ 'shape' => 'CreationTime', ], 'LastModifiedTime' => [ 'shape' => 'LastModifiedTime', ], 'Description' => [ 'shape' => 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'RoleArn', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], ], ], 'DescribeHubContentRequest' => [ 'type' => 'structure', 'required' => [ 'HubName', 'HubContentType', 'HubContentName', ], 'members' => [ 'HubName' => [ 'shape' => 'HubNameOrArn', ], 'HubContentType' => [ 'shape' => 'HubContentType', ], 'HubContentName' => [ 'shape' => 'HubContentName', ], 'HubContentVersion' => [ 'shape' => 'HubContentVersion', ], ], ], 'DescribeHubContentResponse' => [ 'type' => 'structure', 'required' => [ 'HubContentName', 'HubContentArn', 'HubContentVersion', 'HubContentType', 'DocumentSchemaVersion', 'HubName', 'HubArn', 'HubContentDocument', 'HubContentStatus', 'CreationTime', ], 'members' => [ 'HubContentName' => [ 'shape' => 'HubContentName', ], 'HubContentArn' => [ 'shape' => 'HubContentArn', ], 'HubContentVersion' => [ 'shape' => 'HubContentVersion', ], 'HubContentType' => [ 'shape' => 'HubContentType', ], 'DocumentSchemaVersion' => [ 'shape' => 'DocumentSchemaVersion', ], 'HubName' => [ 'shape' => 'HubName', ], 'HubArn' => [ 'shape' => 'HubArn', ], 'HubContentDisplayName' => [ 'shape' => 'HubContentDisplayName', ], 'HubContentDescription' => [ 'shape' => 'HubContentDescription', ], 'HubContentMarkdown' => [ 'shape' => 'HubContentMarkdown', ], 'HubContentDocument' => [ 'shape' => 'HubContentDocument', ], 'SageMakerPublicHubContentArn' => [ 'shape' => 'SageMakerPublicHubContentArn', ], 'ReferenceMinVersion' => [ 'shape' => 'ReferenceMinVersion', ], 'SupportStatus' => [ 'shape' => 'HubContentSupportStatus', ], 'HubContentSearchKeywords' => [ 'shape' => 'HubContentSearchKeywordList', ], 'HubContentDependencies' => [ 'shape' => 'HubContentDependencyList', ], 'HubContentStatus' => [ 'shape' => 'HubContentStatus', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], ], ], 'DescribeHubRequest' => [ 'type' => 'structure', 'required' => [ 'HubName', ], 'members' => [ 'HubName' => [ 'shape' => 'HubNameOrArn', ], ], ], 'DescribeHubResponse' => [ 'type' => 'structure', 'required' => [ 'HubName', 'HubArn', 'HubStatus', 'CreationTime', 'LastModifiedTime', ], 'members' => [ 'HubName' => [ 'shape' => 'HubName', ], 'HubArn' => [ 'shape' => 'HubArn', ], 'HubDisplayName' => [ 'shape' => 'HubDisplayName', ], 'HubDescription' => [ 'shape' => 'HubDescription', ], 'HubSearchKeywords' => [ 'shape' => 'HubSearchKeywordList', ], 'S3StorageConfig' => [ 'shape' => 'HubS3StorageConfig', ], 'HubStatus' => [ 'shape' => 'HubStatus', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], ], ], 'DescribeHumanTaskUiRequest' => [ 'type' => 'structure', 'required' => [ 'HumanTaskUiName', ], 'members' => [ 'HumanTaskUiName' => [ 'shape' => 'HumanTaskUiName', ], ], ], 'DescribeHumanTaskUiResponse' => [ 'type' => 'structure', 'required' => [ 'HumanTaskUiArn', 'HumanTaskUiName', 'CreationTime', 'UiTemplate', ], 'members' => [ 'HumanTaskUiArn' => [ 'shape' => 'HumanTaskUiArn', ], 'HumanTaskUiName' => [ 'shape' => 'HumanTaskUiName', ], 'HumanTaskUiStatus' => [ 'shape' => 'HumanTaskUiStatus', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'UiTemplate' => [ 'shape' => 'UiTemplateInfo', ], ], ], 'DescribeHyperParameterTuningJobRequest' => [ 'type' => 'structure', 'required' => [ 'HyperParameterTuningJobName', ], 'members' => [ 'HyperParameterTuningJobName' => [ 'shape' => 'HyperParameterTuningJobName', ], ], ], 'DescribeHyperParameterTuningJobResponse' => [ 'type' => 'structure', 'required' => [ 'HyperParameterTuningJobName', 'HyperParameterTuningJobArn', 'HyperParameterTuningJobConfig', 'HyperParameterTuningJobStatus', 'CreationTime', 'TrainingJobStatusCounters', 'ObjectiveStatusCounters', ], 'members' => [ 'HyperParameterTuningJobName' => [ 'shape' => 'HyperParameterTuningJobName', ], 'HyperParameterTuningJobArn' => [ 'shape' => 'HyperParameterTuningJobArn', ], 'HyperParameterTuningJobConfig' => [ 'shape' => 'HyperParameterTuningJobConfig', ], 'TrainingJobDefinition' => [ 'shape' => 'HyperParameterTrainingJobDefinition', ], 'TrainingJobDefinitions' => [ 'shape' => 'HyperParameterTrainingJobDefinitions', ], 'HyperParameterTuningJobStatus' => [ 'shape' => 'HyperParameterTuningJobStatus', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'HyperParameterTuningEndTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'TrainingJobStatusCounters' => [ 'shape' => 'TrainingJobStatusCounters', ], 'ObjectiveStatusCounters' => [ 'shape' => 'ObjectiveStatusCounters', ], 'BestTrainingJob' => [ 'shape' => 'HyperParameterTrainingJobSummary', ], 'OverallBestTrainingJob' => [ 'shape' => 'HyperParameterTrainingJobSummary', ], 'WarmStartConfig' => [ 'shape' => 'HyperParameterTuningJobWarmStartConfig', ], 'Autotune' => [ 'shape' => 'Autotune', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'TuningJobCompletionDetails' => [ 'shape' => 'HyperParameterTuningJobCompletionDetails', ], 'ConsumedResources' => [ 'shape' => 'HyperParameterTuningJobConsumedResources', ], ], ], 'DescribeImageRequest' => [ 'type' => 'structure', 'required' => [ 'ImageName', ], 'members' => [ 'ImageName' => [ 'shape' => 'ImageName', ], ], ], 'DescribeImageResponse' => [ 'type' => 'structure', 'members' => [ 'CreationTime' => [ 'shape' => 'Timestamp', ], 'Description' => [ 'shape' => 'ImageDescription', ], 'DisplayName' => [ 'shape' => 'ImageDisplayName', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'ImageArn' => [ 'shape' => 'ImageArn', ], 'ImageName' => [ 'shape' => 'ImageName', ], 'ImageStatus' => [ 'shape' => 'ImageStatus', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], ], ], 'DescribeImageVersionRequest' => [ 'type' => 'structure', 'required' => [ 'ImageName', ], 'members' => [ 'ImageName' => [ 'shape' => 'ImageName', ], 'Version' => [ 'shape' => 'ImageVersionNumber', ], 'Alias' => [ 'shape' => 'SageMakerImageVersionAlias', ], ], ], 'DescribeImageVersionResponse' => [ 'type' => 'structure', 'members' => [ 'BaseImage' => [ 'shape' => 'ImageBaseImage', ], 'ContainerImage' => [ 'shape' => 'ImageContainerImage', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'ImageArn' => [ 'shape' => 'ImageArn', ], 'ImageVersionArn' => [ 'shape' => 'ImageVersionArn', ], 'ImageVersionStatus' => [ 'shape' => 'ImageVersionStatus', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'Version' => [ 'shape' => 'ImageVersionNumber', ], 'VendorGuidance' => [ 'shape' => 'VendorGuidance', ], 'JobType' => [ 'shape' => 'JobType', ], 'MLFramework' => [ 'shape' => 'MLFramework', ], 'ProgrammingLang' => [ 'shape' => 'ProgrammingLang', ], 'Processor' => [ 'shape' => 'Processor', ], 'Horovod' => [ 'shape' => 'Horovod', ], 'ReleaseNotes' => [ 'shape' => 'ReleaseNotes', ], ], ], 'DescribeInferenceComponentInput' => [ 'type' => 'structure', 'required' => [ 'InferenceComponentName', ], 'members' => [ 'InferenceComponentName' => [ 'shape' => 'InferenceComponentName', ], ], ], 'DescribeInferenceComponentOutput' => [ 'type' => 'structure', 'required' => [ 'InferenceComponentName', 'InferenceComponentArn', 'EndpointName', 'EndpointArn', 'CreationTime', 'LastModifiedTime', ], 'members' => [ 'InferenceComponentName' => [ 'shape' => 'InferenceComponentName', ], 'InferenceComponentArn' => [ 'shape' => 'InferenceComponentArn', ], 'EndpointName' => [ 'shape' => 'EndpointName', ], 'EndpointArn' => [ 'shape' => 'EndpointArn', ], 'VariantName' => [ 'shape' => 'VariantName', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'Specification' => [ 'shape' => 'InferenceComponentSpecificationSummary', ], 'RuntimeConfig' => [ 'shape' => 'InferenceComponentRuntimeConfigSummary', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'InferenceComponentStatus' => [ 'shape' => 'InferenceComponentStatus', ], ], ], 'DescribeInferenceExperimentRequest' => [ 'type' => 'structure', 'required' => [ 'Name', ], 'members' => [ 'Name' => [ 'shape' => 'InferenceExperimentName', ], ], ], 'DescribeInferenceExperimentResponse' => [ 'type' => 'structure', 'required' => [ 'Arn', 'Name', 'Type', 'Status', 'EndpointMetadata', 'ModelVariants', ], 'members' => [ 'Arn' => [ 'shape' => 'InferenceExperimentArn', ], 'Name' => [ 'shape' => 'InferenceExperimentName', ], 'Type' => [ 'shape' => 'InferenceExperimentType', ], 'Schedule' => [ 'shape' => 'InferenceExperimentSchedule', ], 'Status' => [ 'shape' => 'InferenceExperimentStatus', ], 'StatusReason' => [ 'shape' => 'InferenceExperimentStatusReason', ], 'Description' => [ 'shape' => 'InferenceExperimentDescription', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'CompletionTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'EndpointMetadata' => [ 'shape' => 'EndpointMetadata', ], 'ModelVariants' => [ 'shape' => 'ModelVariantConfigSummaryList', ], 'DataStorageConfig' => [ 'shape' => 'InferenceExperimentDataStorageConfig', ], 'ShadowModeConfig' => [ 'shape' => 'ShadowModeConfig', ], 'KmsKey' => [ 'shape' => 'KmsKeyId', ], ], ], 'DescribeInferenceRecommendationsJobRequest' => [ 'type' => 'structure', 'required' => [ 'JobName', ], 'members' => [ 'JobName' => [ 'shape' => 'RecommendationJobName', ], ], ], 'DescribeInferenceRecommendationsJobResponse' => [ 'type' => 'structure', 'required' => [ 'JobName', 'JobType', 'JobArn', 'RoleArn', 'Status', 'CreationTime', 'LastModifiedTime', 'InputConfig', ], 'members' => [ 'JobName' => [ 'shape' => 'RecommendationJobName', ], 'JobDescription' => [ 'shape' => 'RecommendationJobDescription', ], 'JobType' => [ 'shape' => 'RecommendationJobType', ], 'JobArn' => [ 'shape' => 'RecommendationJobArn', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'Status' => [ 'shape' => 'RecommendationJobStatus', ], 'CreationTime' => [ 'shape' => 'CreationTime', ], 'CompletionTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'LastModifiedTime', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'InputConfig' => [ 'shape' => 'RecommendationJobInputConfig', ], 'StoppingConditions' => [ 'shape' => 'RecommendationJobStoppingConditions', ], 'InferenceRecommendations' => [ 'shape' => 'InferenceRecommendations', ], 'EndpointPerformances' => [ 'shape' => 'EndpointPerformances', ], ], ], 'DescribeLabelingJobRequest' => [ 'type' => 'structure', 'required' => [ 'LabelingJobName', ], 'members' => [ 'LabelingJobName' => [ 'shape' => 'LabelingJobName', ], ], ], 'DescribeLabelingJobResponse' => [ 'type' => 'structure', 'required' => [ 'LabelingJobStatus', 'LabelCounters', 'CreationTime', 'LastModifiedTime', 'JobReferenceCode', 'LabelingJobName', 'LabelingJobArn', 'InputConfig', 'OutputConfig', 'RoleArn', 'HumanTaskConfig', ], 'members' => [ 'LabelingJobStatus' => [ 'shape' => 'LabelingJobStatus', ], 'LabelCounters' => [ 'shape' => 'LabelCounters', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'JobReferenceCode' => [ 'shape' => 'JobReferenceCode', ], 'LabelingJobName' => [ 'shape' => 'LabelingJobName', ], 'LabelingJobArn' => [ 'shape' => 'LabelingJobArn', ], 'LabelAttributeName' => [ 'shape' => 'LabelAttributeName', ], 'InputConfig' => [ 'shape' => 'LabelingJobInputConfig', ], 'OutputConfig' => [ 'shape' => 'LabelingJobOutputConfig', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'LabelCategoryConfigS3Uri' => [ 'shape' => 'S3Uri', ], 'StoppingConditions' => [ 'shape' => 'LabelingJobStoppingConditions', ], 'LabelingJobAlgorithmsConfig' => [ 'shape' => 'LabelingJobAlgorithmsConfig', ], 'HumanTaskConfig' => [ 'shape' => 'HumanTaskConfig', ], 'Tags' => [ 'shape' => 'TagList', ], 'LabelingJobOutput' => [ 'shape' => 'LabelingJobOutput', ], ], ], 'DescribeLineageGroupRequest' => [ 'type' => 'structure', 'required' => [ 'LineageGroupName', ], 'members' => [ 'LineageGroupName' => [ 'shape' => 'ExperimentEntityName', ], ], ], 'DescribeLineageGroupResponse' => [ 'type' => 'structure', 'members' => [ 'LineageGroupName' => [ 'shape' => 'ExperimentEntityName', ], 'LineageGroupArn' => [ 'shape' => 'LineageGroupArn', ], 'DisplayName' => [ 'shape' => 'ExperimentEntityName', ], 'Description' => [ 'shape' => 'ExperimentDescription', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'CreatedBy' => [ 'shape' => 'UserContext', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedBy' => [ 'shape' => 'UserContext', ], ], ], 'DescribeMlflowTrackingServerRequest' => [ 'type' => 'structure', 'required' => [ 'TrackingServerName', ], 'members' => [ 'TrackingServerName' => [ 'shape' => 'TrackingServerName', ], ], ], 'DescribeMlflowTrackingServerResponse' => [ 'type' => 'structure', 'members' => [ 'TrackingServerArn' => [ 'shape' => 'TrackingServerArn', ], 'TrackingServerName' => [ 'shape' => 'TrackingServerName', ], 'ArtifactStoreUri' => [ 'shape' => 'S3Uri', ], 'TrackingServerSize' => [ 'shape' => 'TrackingServerSize', ], 'MlflowVersion' => [ 'shape' => 'MlflowVersion', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'TrackingServerStatus' => [ 'shape' => 'TrackingServerStatus', ], 'IsActive' => [ 'shape' => 'IsTrackingServerActive', ], 'TrackingServerUrl' => [ 'shape' => 'TrackingServerUrl', ], 'WeeklyMaintenanceWindowStart' => [ 'shape' => 'WeeklyMaintenanceWindowStart', ], 'AutomaticModelRegistration' => [ 'shape' => 'Boolean', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'CreatedBy' => [ 'shape' => 'UserContext', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedBy' => [ 'shape' => 'UserContext', ], ], ], 'DescribeModelBiasJobDefinitionRequest' => [ 'type' => 'structure', 'required' => [ 'JobDefinitionName', ], 'members' => [ 'JobDefinitionName' => [ 'shape' => 'MonitoringJobDefinitionName', ], ], ], 'DescribeModelBiasJobDefinitionResponse' => [ 'type' => 'structure', 'required' => [ 'JobDefinitionArn', 'JobDefinitionName', 'CreationTime', 'ModelBiasAppSpecification', 'ModelBiasJobInput', 'ModelBiasJobOutputConfig', 'JobResources', 'RoleArn', ], 'members' => [ 'JobDefinitionArn' => [ 'shape' => 'MonitoringJobDefinitionArn', ], 'JobDefinitionName' => [ 'shape' => 'MonitoringJobDefinitionName', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'ModelBiasBaselineConfig' => [ 'shape' => 'ModelBiasBaselineConfig', ], 'ModelBiasAppSpecification' => [ 'shape' => 'ModelBiasAppSpecification', ], 'ModelBiasJobInput' => [ 'shape' => 'ModelBiasJobInput', ], 'ModelBiasJobOutputConfig' => [ 'shape' => 'MonitoringOutputConfig', ], 'JobResources' => [ 'shape' => 'MonitoringResources', ], 'NetworkConfig' => [ 'shape' => 'MonitoringNetworkConfig', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'StoppingCondition' => [ 'shape' => 'MonitoringStoppingCondition', ], ], ], 'DescribeModelCardExportJobRequest' => [ 'type' => 'structure', 'required' => [ 'ModelCardExportJobArn', ], 'members' => [ 'ModelCardExportJobArn' => [ 'shape' => 'ModelCardExportJobArn', ], ], ], 'DescribeModelCardExportJobResponse' => [ 'type' => 'structure', 'required' => [ 'ModelCardExportJobName', 'ModelCardExportJobArn', 'Status', 'ModelCardName', 'ModelCardVersion', 'OutputConfig', 'CreatedAt', 'LastModifiedAt', ], 'members' => [ 'ModelCardExportJobName' => [ 'shape' => 'EntityName', ], 'ModelCardExportJobArn' => [ 'shape' => 'ModelCardExportJobArn', ], 'Status' => [ 'shape' => 'ModelCardExportJobStatus', ], 'ModelCardName' => [ 'shape' => 'EntityName', ], 'ModelCardVersion' => [ 'shape' => 'Integer', ], 'OutputConfig' => [ 'shape' => 'ModelCardExportOutputConfig', ], 'CreatedAt' => [ 'shape' => 'Timestamp', ], 'LastModifiedAt' => [ 'shape' => 'Timestamp', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'ExportArtifacts' => [ 'shape' => 'ModelCardExportArtifacts', ], ], ], 'DescribeModelCardRequest' => [ 'type' => 'structure', 'required' => [ 'ModelCardName', ], 'members' => [ 'ModelCardName' => [ 'shape' => 'ModelCardNameOrArn', ], 'ModelCardVersion' => [ 'shape' => 'Integer', ], ], ], 'DescribeModelCardResponse' => [ 'type' => 'structure', 'required' => [ 'ModelCardArn', 'ModelCardName', 'ModelCardVersion', 'Content', 'ModelCardStatus', 'CreationTime', 'CreatedBy', ], 'members' => [ 'ModelCardArn' => [ 'shape' => 'ModelCardArn', ], 'ModelCardName' => [ 'shape' => 'EntityName', ], 'ModelCardVersion' => [ 'shape' => 'Integer', ], 'Content' => [ 'shape' => 'ModelCardContent', ], 'ModelCardStatus' => [ 'shape' => 'ModelCardStatus', ], 'SecurityConfig' => [ 'shape' => 'ModelCardSecurityConfig', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'CreatedBy' => [ 'shape' => 'UserContext', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedBy' => [ 'shape' => 'UserContext', ], 'ModelCardProcessingStatus' => [ 'shape' => 'ModelCardProcessingStatus', ], ], ], 'DescribeModelExplainabilityJobDefinitionRequest' => [ 'type' => 'structure', 'required' => [ 'JobDefinitionName', ], 'members' => [ 'JobDefinitionName' => [ 'shape' => 'MonitoringJobDefinitionName', ], ], ], 'DescribeModelExplainabilityJobDefinitionResponse' => [ 'type' => 'structure', 'required' => [ 'JobDefinitionArn', 'JobDefinitionName', 'CreationTime', 'ModelExplainabilityAppSpecification', 'ModelExplainabilityJobInput', 'ModelExplainabilityJobOutputConfig', 'JobResources', 'RoleArn', ], 'members' => [ 'JobDefinitionArn' => [ 'shape' => 'MonitoringJobDefinitionArn', ], 'JobDefinitionName' => [ 'shape' => 'MonitoringJobDefinitionName', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'ModelExplainabilityBaselineConfig' => [ 'shape' => 'ModelExplainabilityBaselineConfig', ], 'ModelExplainabilityAppSpecification' => [ 'shape' => 'ModelExplainabilityAppSpecification', ], 'ModelExplainabilityJobInput' => [ 'shape' => 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'FailureReason' => [ 'shape' => 'FailureReason', ], 'SpaceSettings' => [ 'shape' => 'SpaceSettings', ], 'OwnershipSettings' => [ 'shape' => 'OwnershipSettings', ], 'SpaceSharingSettings' => [ 'shape' => 'SpaceSharingSettings', ], 'SpaceDisplayName' => [ 'shape' => 'NonEmptyString64', ], 'Url' => [ 'shape' => 'String1024', ], ], ], 'DescribeStudioLifecycleConfigRequest' => [ 'type' => 'structure', 'required' => [ 'StudioLifecycleConfigName', ], 'members' => [ 'StudioLifecycleConfigName' => [ 'shape' => 'StudioLifecycleConfigName', ], ], ], 'DescribeStudioLifecycleConfigResponse' => [ 'type' => 'structure', 'members' => [ 'StudioLifecycleConfigArn' => [ 'shape' => 'StudioLifecycleConfigArn', ], 'StudioLifecycleConfigName' => [ 'shape' => 'StudioLifecycleConfigName', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'StudioLifecycleConfigContent' => [ 'shape' => 'StudioLifecycleConfigContent', ], 'StudioLifecycleConfigAppType' => [ 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'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'SecondaryStatusTransitions' => [ 'shape' => 'SecondaryStatusTransitions', ], 'FinalMetricDataList' => [ 'shape' => 'FinalMetricDataList', ], 'EnableNetworkIsolation' => [ 'shape' => 'Boolean', ], 'EnableInterContainerTrafficEncryption' => [ 'shape' => 'Boolean', ], 'EnableManagedSpotTraining' => [ 'shape' => 'Boolean', ], 'CheckpointConfig' => [ 'shape' => 'CheckpointConfig', ], 'TrainingTimeInSeconds' => [ 'shape' => 'TrainingTimeInSeconds', ], 'BillableTimeInSeconds' => [ 'shape' => 'BillableTimeInSeconds', ], 'DebugHookConfig' => [ 'shape' => 'DebugHookConfig', ], 'ExperimentConfig' => [ 'shape' => 'ExperimentConfig', ], 'DebugRuleConfigurations' => [ 'shape' => 'DebugRuleConfigurations', ], 'TensorBoardOutputConfig' => [ 'shape' => 'TensorBoardOutputConfig', ], 'DebugRuleEvaluationStatuses' => [ 'shape' => 'DebugRuleEvaluationStatuses', ], 'ProfilerConfig' => [ 'shape' => 'ProfilerConfig', ], 'ProfilerRuleConfigurations' => [ 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=> [ 'type' => 'structure', 'required' => [ 'DomainId', 'SpaceName', ], 'members' => [ 'DomainId' => [ 'shape' => 'DomainId', ], 'SpaceName' => [ 'shape' => 'SpaceName', ], 'SpaceSettings' => [ 'shape' => 'SpaceSettings', ], 'SpaceDisplayName' => [ 'shape' => 'NonEmptyString64', ], ], ], 'UpdateSpaceResponse' => [ 'type' => 'structure', 'members' => [ 'SpaceArn' => [ 'shape' => 'SpaceArn', ], ], ], 'UpdateTrainingJobRequest' => [ 'type' => 'structure', 'required' => [ 'TrainingJobName', ], 'members' => [ 'TrainingJobName' => [ 'shape' => 'TrainingJobName', ], 'ProfilerConfig' => [ 'shape' => 'ProfilerConfigForUpdate', ], 'ProfilerRuleConfigurations' => [ 'shape' => 'ProfilerRuleConfigurations', ], 'ResourceConfig' => [ 'shape' => 'ResourceConfigForUpdate', ], 'RemoteDebugConfig' => [ 'shape' => 'RemoteDebugConfigForUpdate', ], ], ], 'UpdateTrainingJobResponse' => [ 'type' => 'structure', 'required' => [ 'TrainingJobArn', ], 'members' => [ 'TrainingJobArn' => [ 'shape' => 'TrainingJobArn', ], ], ], 'UpdateTrialComponentRequest' => [ 'type' => 'structure', 'required' => [ 'TrialComponentName', ], 'members' => [ 'TrialComponentName' => [ 'shape' => 'ExperimentEntityName', ], 'DisplayName' => [ 'shape' => 'ExperimentEntityName', ], 'Status' => [ 'shape' => 'TrialComponentStatus', ], 'StartTime' => [ 'shape' => 'Timestamp', ], 'EndTime' => [ 'shape' => 'Timestamp', ], 'Parameters' => [ 'shape' => 'TrialComponentParameters', ], 'ParametersToRemove' => [ 'shape' => 'ListTrialComponentKey256', ], 'InputArtifacts' => [ 'shape' => 'TrialComponentArtifacts', ], 'InputArtifactsToRemove' => [ 'shape' => 'ListTrialComponentKey256', ], 'OutputArtifacts' => [ 'shape' => 'TrialComponentArtifacts', ], 'OutputArtifactsToRemove' => [ 'shape' => 'ListTrialComponentKey256', ], ], ], 'UpdateTrialComponentResponse' => [ 'type' => 'structure', 'members' => [ 'TrialComponentArn' => [ 'shape' => 'TrialComponentArn', ], ], ], 'UpdateTrialRequest' => [ 'type' => 'structure', 'required' => [ 'TrialName', ], 'members' => [ 'TrialName' => [ 'shape' => 'ExperimentEntityName', ], 'DisplayName' => [ 'shape' => 'ExperimentEntityName', ], ], ], 'UpdateTrialResponse' => [ 'type' => 'structure', 'members' => [ 'TrialArn' => [ 'shape' => 'TrialArn', ], ], ], 'UpdateUserProfileRequest' => [ 'type' => 'structure', 'required' => [ 'DomainId', 'UserProfileName', ], 'members' => [ 'DomainId' => [ 'shape' => 'DomainId', ], 'UserProfileName' => [ 'shape' => 'UserProfileName', ], 'UserSettings' => [ 'shape' => 'UserSettings', ], ], ], 'UpdateUserProfileResponse' => [ 'type' => 'structure', 'members' => [ 'UserProfileArn' => [ 'shape' => 'UserProfileArn', ], ], ], 'UpdateWorkforceRequest' => [ 'type' => 'structure', 'required' => [ 'WorkforceName', ], 'members' => [ 'WorkforceName' => [ 'shape' => 'WorkforceName', ], 'SourceIpConfig' => [ 'shape' => 'SourceIpConfig', ], 'OidcConfig' => [ 'shape' => 'OidcConfig', ], 'WorkforceVpcConfig' => [ 'shape' => 'WorkforceVpcConfigRequest', ], ], ], 'UpdateWorkforceResponse' => [ 'type' => 'structure', 'required' => [ 'Workforce', ], 'members' => [ 'Workforce' => [ 'shape' => 'Workforce', ], ], ], 'UpdateWorkteamRequest' => [ 'type' => 'structure', 'required' => [ 'WorkteamName', ], 'members' => [ 'WorkteamName' => [ 'shape' => 'WorkteamName', ], 'MemberDefinitions' => [ 'shape' => 'MemberDefinitions', ], 'Description' => [ 'shape' => 'String200', ], 'NotificationConfiguration' => [ 'shape' => 'NotificationConfiguration', ], 'WorkerAccessConfiguration' => [ 'shape' => 'WorkerAccessConfiguration', ], ], ], 'UpdateWorkteamResponse' => [ 'type' => 'structure', 'required' => [ 'Workteam', ], 'members' => [ 'Workteam' => [ 'shape' => 'Workteam', ], ], ], 'Url' => [ 'type' => 'string', 'max' => 1024, 'pattern' => '^(https|s3)://([^/]+)/?(.*)$', ], 'UserContext' => [ 'type' => 'structure', 'members' => [ 'UserProfileArn' => [ 'shape' => 'String', ], 'UserProfileName' => [ 'shape' => 'String', ], 'DomainId' => [ 'shape' => 'String', ], 'IamIdentity' => [ 'shape' => 'IamIdentity', ], ], ], 'UserProfileArn' => [ 'type' => 'string', 'max' => 256, 'pattern' => 'arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:user-profile/.*', ], 'UserProfileDetails' => [ 'type' => 'structure', 'members' => [ 'DomainId' => [ 'shape' => 'DomainId', ], 'UserProfileName' => [ 'shape' => 'UserProfileName', ], 'Status' => [ 'shape' => 'UserProfileStatus', ], 'CreationTime' => [ 'shape' => 'CreationTime', ], 'LastModifiedTime' => [ 'shape' => 'LastModifiedTime', ], ], ], 'UserProfileList' => [ 'type' => 'list', 'member' => [ 'shape' => 'UserProfileDetails', ], ], 'UserProfileName' => [ 'type' => 'string', 'max' => 63, 'pattern' => '^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}', ], 'UserProfileSortKey' => [ 'type' => 'string', 'enum' => [ 'CreationTime', 'LastModifiedTime', ], ], 'UserProfileStatus' => [ 'type' => 'string', 'enum' => [ 'Deleting', 'Failed', 'InService', 'Pending', 'Updating', 'Update_Failed', 'Delete_Failed', ], ], 'UserSettings' => [ 'type' => 'structure', 'members' => [ 'ExecutionRole' => [ 'shape' => 'RoleArn', ], 'SecurityGroups' => [ 'shape' => 'SecurityGroupIds', ], 'SharingSettings' => [ 'shape' => 'SharingSettings', ], 'JupyterServerAppSettings' => [ 'shape' => 'JupyterServerAppSettings', ], 'KernelGatewayAppSettings' => [ 'shape' => 'KernelGatewayAppSettings', ], 'TensorBoardAppSettings' => [ 'shape' => 'TensorBoardAppSettings', ], 'RStudioServerProAppSettings' => [ 'shape' => 'RStudioServerProAppSettings', ], 'RSessionAppSettings' => [ 'shape' => 'RSessionAppSettings', ], 'CanvasAppSettings' => [ 'shape' => 'CanvasAppSettings', ], 'CodeEditorAppSettings' => [ 'shape' => 'CodeEditorAppSettings', ], 'JupyterLabAppSettings' => [ 'shape' => 'JupyterLabAppSettings', ], 'SpaceStorageSettings' => [ 'shape' => 'DefaultSpaceStorageSettings', ], 'DefaultLandingUri' => [ 'shape' => 'LandingUri', ], 'StudioWebPortal' => [ 'shape' => 'StudioWebPortal', ], 'CustomPosixUserConfig' => [ 'shape' => 'CustomPosixUserConfig', ], 'CustomFileSystemConfigs' => [ 'shape' => 'CustomFileSystemConfigs', ], 'StudioWebPortalSettings' => [ 'shape' => 'StudioWebPortalSettings', ], 'AutoMountHomeEFS' => [ 'shape' => 'AutoMountHomeEFS', ], ], ], 'UsersPerStep' => [ 'type' => 'integer', 'max' => 3, 'min' => 1, ], 'UtilizationMetric' => [ 'type' => 'float', 'min' => 0.0, ], 'UtilizationPercentagePerCore' => [ 'type' => 'integer', 'max' => 100, 'min' => 1, ], 'ValidationFraction' => [ 'type' => 'float', 'max' => 1, 'min' => 0, ], 'VariantName' => [ 'type' => 'string', 'max' => 63, 'pattern' => '^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}', ], 'VariantProperty' => [ 'type' => 'structure', 'required' => [ 'VariantPropertyType', ], 'members' => [ 'VariantPropertyType' => [ 'shape' => 'VariantPropertyType', ], ], ], 'VariantPropertyList' => [ 'type' => 'list', 'member' => [ 'shape' => 'VariantProperty', ], 'max' => 3, 'min' => 0, ], 'VariantPropertyType' => [ 'type' => 'string', 'enum' => [ 'DesiredInstanceCount', 'DesiredWeight', 'DataCaptureConfig', ], ], 'VariantStatus' => [ 'type' => 'string', 'enum' => [ 'Creating', 'Updating', 'Deleting', 'ActivatingTraffic', 'Baking', ], ], 'VariantStatusMessage' => [ 'type' => 'string', 'max' => 1024, ], 'VariantWeight' => [ 'type' => 'float', 'min' => 0, ], 'VectorConfig' => [ 'type' => 'structure', 'required' => [ 'Dimension', ], 'members' => [ 'Dimension' => [ 'shape' => 'Dimension', ], ], ], 'VendorGuidance' => [ 'type' => 'string', 'enum' => [ 'NOT_PROVIDED', 'STABLE', 'TO_BE_ARCHIVED', 'ARCHIVED', ], ], 'VersionAliasesList' => [ 'type' => 'list', 'member' => [ 'shape' => 'ImageVersionAliasPattern', ], 'max' => 20, ], 'VersionId' => [ 'type' => 'string', 'max' => 1024, 'min' => 1, 'pattern' => '.+', ], 'VersionedArnOrName' => [ 'type' => 'string', 'max' => 176, 'min' => 1, 'pattern' => '(arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:[a-z\\-]*\\/)?([a-zA-Z0-9]([a-zA-Z0-9-]){0,62})(? [ 'type' => 'structure', 'members' => [ 'Arn' => [ 'shape' => 'AssociationEntityArn', ], 'Type' => [ 'shape' => 'String40', ], 'LineageType' => [ 'shape' => 'LineageType', ], ], ], 'Vertices' => [ 'type' => 'list', 'member' => [ 'shape' => 'Vertex', ], ], 'VisibilityConditions' => [ 'type' => 'structure', 'members' => [ 'Key' => [ 'shape' => 'VisibilityConditionsKey', ], 'Value' => [ 'shape' => 'VisibilityConditionsValue', ], ], ], 'VisibilityConditionsKey' => [ 'type' => 'string', 'max' => 128, 'min' => 1, 'pattern' => '^([\\p{L}\\p{Z}\\p{N}_.:/=+\\-@]*)$', ], 'VisibilityConditionsList' => [ 'type' => 'list', 'member' => [ 'shape' => 'VisibilityConditions', ], 'max' => 5, 'min' => 1, ], 'VisibilityConditionsValue' => [ 'type' => 'string', 'max' => 256, 'min' => 0, 'pattern' => '^([\\p{L}\\p{Z}\\p{N}_.:/=+\\-@]*)$', ], 'VolumeSizeInGB' => [ 'type' => 'integer', 'min' => 1, ], 'VpcConfig' => [ 'type' => 'structure', 'required' => [ 'SecurityGroupIds', 'Subnets', ], 'members' => [ 'SecurityGroupIds' => [ 'shape' => 'VpcSecurityGroupIds', ], 'Subnets' => [ 'shape' => 'Subnets', ], ], ], 'VpcId' => [ 'type' => 'string', 'max' => 32, 'pattern' => '[-0-9a-zA-Z]+', ], 'VpcOnlyTrustedAccounts' => [ 'type' => 'list', 'member' => [ 'shape' => 'AccountId', ], 'max' => 20, ], 'VpcSecurityGroupIds' => [ 'type' => 'list', 'member' => [ 'shape' => 'SecurityGroupId', ], 'max' => 5, 'min' => 1, ], 'WaitIntervalInSeconds' => [ 'type' => 'integer', 'max' => 3600, 'min' => 0, ], 'WarmPoolResourceStatus' => [ 'type' => 'string', 'enum' => [ 'Available', 'Terminated', 'Reused', 'InUse', ], ], 'WarmPoolStatus' => [ 'type' => 'structure', 'required' => [ 'Status', ], 'members' => [ 'Status' => [ 'shape' => 'WarmPoolResourceStatus', ], 'ResourceRetainedBillableTimeInSeconds' => [ 'shape' => 'ResourceRetainedBillableTimeInSeconds', ], 'ReusedByJob' => [ 'shape' => 'TrainingJobName', ], ], ], 'WeeklyMaintenanceWindowStart' => [ 'type' => 'string', 'max' => 9, 'pattern' => '(Mon|Tue|Wed|Thu|Fri|Sat|Sun):([01]\\d|2[0-3]):([0-5]\\d)', ], 'WeeklyScheduleTimeFormat' => [ 'type' => 'string', 'max' => 9, 'pattern' => '(Mon|Tue|Wed|Thu|Fri|Sat|Sun):([01]\\d|2[0-3]):([0-5]\\d)', ], 'WorkerAccessConfiguration' => [ 'type' => 'structure', 'members' => [ 'S3Presign' => [ 'shape' => 'S3Presign', ], ], ], 'Workforce' => [ 'type' => 'structure', 'required' => [ 'WorkforceName', 'WorkforceArn', ], 'members' => [ 'WorkforceName' => [ 'shape' => 'WorkforceName', ], 'WorkforceArn' => [ 'shape' => 'WorkforceArn', ], 'LastUpdatedDate' => [ 'shape' => 'Timestamp', ], 'SourceIpConfig' => [ 'shape' => 'SourceIpConfig', ], 'SubDomain' => [ 'shape' => 'String', ], 'CognitoConfig' => [ 'shape' => 'CognitoConfig', ], 'OidcConfig' => [ 'shape' => 'OidcConfigForResponse', ], 'CreateDate' => [ 'shape' => 'Timestamp', ], 'WorkforceVpcConfig' => [ 'shape' => 'WorkforceVpcConfigResponse', ], 'Status' => [ 'shape' => 'WorkforceStatus', ], 'FailureReason' => [ 'shape' => 'WorkforceFailureReason', ], ], ], 'WorkforceArn' => [ 'type' => 'string', 'max' => 256, 'pattern' => 'arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:workforce/.*', ], 'WorkforceFailureReason' => [ 'type' => 'string', 'max' => 1024, 'min' => 1, 'pattern' => '.+', ], 'WorkforceName' => [ 'type' => 'string', 'max' => 63, 'min' => 1, 'pattern' => '^[a-zA-Z0-9]([a-zA-Z0-9\\-]){0,62}$', ], 'WorkforceSecurityGroupId' => [ 'type' => 'string', 'max' => 32, 'pattern' => '^sg-[0-9a-z]*$', ], 'WorkforceSecurityGroupIds' => [ 'type' => 'list', 'member' => [ 'shape' => 'WorkforceSecurityGroupId', ], 'max' => 5, 'min' => 1, ], 'WorkforceStatus' => [ 'type' => 'string', 'enum' => [ 'Initializing', 'Updating', 'Deleting', 'Failed', 'Active', ], ], 'WorkforceSubnetId' => [ 'type' => 'string', 'max' => 32, 'pattern' => '^subnet-[0-9a-z]*$', ], 'WorkforceSubnets' => [ 'type' => 'list', 'member' => [ 'shape' => 'WorkforceSubnetId', ], 'max' => 16, 'min' => 1, ], 'WorkforceVpcConfigRequest' => [ 'type' => 'structure', 'members' => [ 'VpcId' => [ 'shape' => 'WorkforceVpcId', ], 'SecurityGroupIds' => [ 'shape' => 'WorkforceSecurityGroupIds', ], 'Subnets' => [ 'shape' => 'WorkforceSubnets', ], ], ], 'WorkforceVpcConfigResponse' => [ 'type' => 'structure', 'required' => [ 'VpcId', 'SecurityGroupIds', 'Subnets', ], 'members' => [ 'VpcId' => [ 'shape' => 'WorkforceVpcId', ], 'SecurityGroupIds' => [ 'shape' => 'WorkforceSecurityGroupIds', ], 'Subnets' => [ 'shape' => 'WorkforceSubnets', ], 'VpcEndpointId' => [ 'shape' => 'WorkforceVpcEndpointId', ], ], ], 'WorkforceVpcEndpointId' => [ 'type' => 'string', 'max' => 255, 'min' => 1, 'pattern' => '^vpce-[0-9a-z]*$', ], 'WorkforceVpcId' => [ 'type' => 'string', 'max' => 32, 'pattern' => '^vpc-[0-9a-z]*$', ], 'Workforces' => [ 'type' => 'list', 'member' => [ 'shape' => 'Workforce', ], ], 'WorkspaceSettings' => [ 'type' => 'structure', 'members' => [ 'S3ArtifactPath' => [ 'shape' => 'S3Uri', ], 'S3KmsKeyId' => [ 'shape' => 'KmsKeyId', ], ], ], 'Workteam' => [ 'type' => 'structure', 'required' => [ 'WorkteamName', 'MemberDefinitions', 'WorkteamArn', 'Description', ], 'members' => [ 'WorkteamName' => [ 'shape' => 'WorkteamName', ], 'MemberDefinitions' => [ 'shape' => 'MemberDefinitions', ], 'WorkteamArn' => [ 'shape' => 'WorkteamArn', ], 'WorkforceArn' => [ 'shape' => 'WorkforceArn', ], 'ProductListingIds' => [ 'shape' => 'ProductListings', ], 'Description' => [ 'shape' => 'String200', ], 'SubDomain' => [ 'shape' => 'String', ], 'CreateDate' => [ 'shape' => 'Timestamp', ], 'LastUpdatedDate' => [ 'shape' => 'Timestamp', ], 'NotificationConfiguration' => [ 'shape' => 'NotificationConfiguration', ], 'WorkerAccessConfiguration' => [ 'shape' => 'WorkerAccessConfiguration', ], ], ], 'WorkteamArn' => [ 'type' => 'string', 'max' => 256, 'pattern' => 'arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:workteam/.*', ], 'WorkteamName' => [ 'type' => 'string', 'max' => 63, 'min' => 1, 'pattern' => '^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}', ], 'Workteams' => [ 'type' => 'list', 'member' => [ 'shape' => 'Workteam', ], ], ],]; +return [ 'version' => '2.0', 'metadata' => [ 'apiVersion' => '2017-07-24', 'endpointPrefix' => 'api.sagemaker', 'jsonVersion' => '1.1', 'protocol' => 'json', 'protocols' => [ 'json', ], 'serviceAbbreviation' => 'SageMaker', 'serviceFullName' => 'Amazon SageMaker Service', 'serviceId' => 'SageMaker', 'signatureVersion' => 'v4', 'signingName' => 'sagemaker', 'targetPrefix' => 'SageMaker', 'uid' => 'sagemaker-2017-07-24', 'auth' => [ 'aws.auth#sigv4', ], ], 'operations' => [ 'AddAssociation' => [ 'name' => 'AddAssociation', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'AddAssociationRequest', ], 'output' => [ 'shape' => 'AddAssociationResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'AddTags' => [ 'name' => 'AddTags', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'AddTagsInput', ], 'output' => [ 'shape' => 'AddTagsOutput', ], ], 'AssociateTrialComponent' => [ 'name' => 'AssociateTrialComponent', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'AssociateTrialComponentRequest', ], 'output' => [ 'shape' => 'AssociateTrialComponentResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'BatchDeleteClusterNodes' => [ 'name' => 'BatchDeleteClusterNodes', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'BatchDeleteClusterNodesRequest', ], 'output' => [ 'shape' => 'BatchDeleteClusterNodesResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'BatchDescribeModelPackage' => [ 'name' => 'BatchDescribeModelPackage', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'BatchDescribeModelPackageInput', ], 'output' => [ 'shape' => 'BatchDescribeModelPackageOutput', ], ], 'CreateAction' => [ 'name' => 'CreateAction', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateActionRequest', ], 'output' => [ 'shape' => 'CreateActionResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateAlgorithm' => [ 'name' => 'CreateAlgorithm', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateAlgorithmInput', ], 'output' => [ 'shape' => 'CreateAlgorithmOutput', ], ], 'CreateApp' => [ 'name' => 'CreateApp', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateAppRequest', ], 'output' => [ 'shape' => 'CreateAppResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], [ 'shape' => 'ResourceInUse', ], ], ], 'CreateAppImageConfig' => [ 'name' => 'CreateAppImageConfig', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateAppImageConfigRequest', ], 'output' => [ 'shape' => 'CreateAppImageConfigResponse', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], ], ], 'CreateArtifact' => [ 'name' => 'CreateArtifact', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateArtifactRequest', ], 'output' => [ 'shape' => 'CreateArtifactResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateAutoMLJob' => [ 'name' => 'CreateAutoMLJob', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateAutoMLJobRequest', ], 'output' => [ 'shape' => 'CreateAutoMLJobResponse', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateAutoMLJobV2' => [ 'name' => 'CreateAutoMLJobV2', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateAutoMLJobV2Request', ], 'output' => [ 'shape' => 'CreateAutoMLJobV2Response', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateCluster' => [ 'name' => 'CreateCluster', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateClusterRequest', ], 'output' => [ 'shape' => 'CreateClusterResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], [ 'shape' => 'ResourceInUse', ], ], ], 'CreateClusterSchedulerConfig' => [ 'name' => 'CreateClusterSchedulerConfig', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateClusterSchedulerConfigRequest', ], 'output' => [ 'shape' => 'CreateClusterSchedulerConfigResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], [ 'shape' => 'ConflictException', ], ], ], 'CreateCodeRepository' => [ 'name' => 'CreateCodeRepository', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateCodeRepositoryInput', ], 'output' => [ 'shape' => 'CreateCodeRepositoryOutput', ], ], 'CreateCompilationJob' => [ 'name' => 'CreateCompilationJob', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateCompilationJobRequest', ], 'output' => [ 'shape' => 'CreateCompilationJobResponse', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateComputeQuota' => [ 'name' => 'CreateComputeQuota', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateComputeQuotaRequest', ], 'output' => [ 'shape' => 'CreateComputeQuotaResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], [ 'shape' => 'ConflictException', ], ], ], 'CreateContext' => [ 'name' => 'CreateContext', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateContextRequest', ], 'output' => [ 'shape' => 'CreateContextResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateDataQualityJobDefinition' => [ 'name' => 'CreateDataQualityJobDefinition', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateDataQualityJobDefinitionRequest', ], 'output' => [ 'shape' => 'CreateDataQualityJobDefinitionResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], [ 'shape' => 'ResourceInUse', ], ], ], 'CreateDeviceFleet' => [ 'name' => 'CreateDeviceFleet', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateDeviceFleetRequest', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateDomain' => [ 'name' => 'CreateDomain', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateDomainRequest', ], 'output' => [ 'shape' => 'CreateDomainResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], [ 'shape' => 'ResourceInUse', ], ], ], 'CreateEdgeDeploymentPlan' => [ 'name' => 'CreateEdgeDeploymentPlan', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateEdgeDeploymentPlanRequest', ], 'output' => [ 'shape' => 'CreateEdgeDeploymentPlanResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateEdgeDeploymentStage' => [ 'name' => 'CreateEdgeDeploymentStage', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateEdgeDeploymentStageRequest', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateEdgePackagingJob' => [ 'name' => 'CreateEdgePackagingJob', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateEdgePackagingJobRequest', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateEndpoint' => [ 'name' => 'CreateEndpoint', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateEndpointInput', ], 'output' => [ 'shape' => 'CreateEndpointOutput', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateEndpointConfig' => [ 'name' => 'CreateEndpointConfig', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateEndpointConfigInput', ], 'output' => [ 'shape' => 'CreateEndpointConfigOutput', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateExperiment' => [ 'name' => 'CreateExperiment', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateExperimentRequest', ], 'output' => [ 'shape' => 'CreateExperimentResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateFeatureGroup' => [ 'name' => 'CreateFeatureGroup', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateFeatureGroupRequest', ], 'output' => [ 'shape' => 'CreateFeatureGroupResponse', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], [ 'shape' => 'ResourceLimitExceeded', ], ], ], 'CreateFlowDefinition' => [ 'name' => 'CreateFlowDefinition', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'CreateFlowDefinitionRequest', ], 'output' => [ 'shape' => 'CreateFlowDefinitionResponse', ], 'errors' => [ [ 'shape' => 'ResourceLimitExceeded', ], [ 'shape' => 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'requestUri' => '/', ], 'input' => [ 'shape' => 'ListMlflowTrackingServersRequest', ], 'output' => [ 'shape' => 'ListMlflowTrackingServersResponse', ], ], 'ListModelBiasJobDefinitions' => [ 'name' => 'ListModelBiasJobDefinitions', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListModelBiasJobDefinitionsRequest', ], 'output' => [ 'shape' => 'ListModelBiasJobDefinitionsResponse', ], ], 'ListModelCardExportJobs' => [ 'name' => 'ListModelCardExportJobs', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListModelCardExportJobsRequest', ], 'output' => [ 'shape' => 'ListModelCardExportJobsResponse', ], ], 'ListModelCardVersions' => [ 'name' => 'ListModelCardVersions', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListModelCardVersionsRequest', ], 'output' => [ 'shape' => 'ListModelCardVersionsResponse', ], 'errors' => [ [ 'shape' => 'ResourceNotFound', ], ], ], 'ListModelCards' => [ 'name' => 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'output' => [ 'shape' => 'ListNotebookInstanceLifecycleConfigsOutput', ], ], 'ListNotebookInstances' => [ 'name' => 'ListNotebookInstances', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListNotebookInstancesInput', ], 'output' => [ 'shape' => 'ListNotebookInstancesOutput', ], ], 'ListOptimizationJobs' => [ 'name' => 'ListOptimizationJobs', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListOptimizationJobsRequest', ], 'output' => [ 'shape' => 'ListOptimizationJobsResponse', ], ], 'ListPartnerApps' => [ 'name' => 'ListPartnerApps', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListPartnerAppsRequest', ], 'output' => [ 'shape' => 'ListPartnerAppsResponse', ], ], 'ListPipelineExecutionSteps' => [ 'name' => 'ListPipelineExecutionSteps', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListPipelineExecutionStepsRequest', ], 'output' => [ 'shape' => 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'output' => [ 'shape' => 'ListStageDevicesResponse', ], ], 'ListStudioLifecycleConfigs' => [ 'name' => 'ListStudioLifecycleConfigs', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListStudioLifecycleConfigsRequest', ], 'output' => [ 'shape' => 'ListStudioLifecycleConfigsResponse', ], 'errors' => [ [ 'shape' => 'ResourceInUse', ], ], ], 'ListSubscribedWorkteams' => [ 'name' => 'ListSubscribedWorkteams', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListSubscribedWorkteamsRequest', ], 'output' => [ 'shape' => 'ListSubscribedWorkteamsResponse', ], ], 'ListTags' => [ 'name' => 'ListTags', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListTagsInput', ], 'output' => [ 'shape' => 'ListTagsOutput', ], ], 'ListTrainingJobs' => [ 'name' => 'ListTrainingJobs', 'http' => [ 'method' => 'POST', 'requestUri' => '/', ], 'input' => [ 'shape' => 'ListTrainingJobsRequest', ], 'output' => [ 'shape' => 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'ExperimentDescription', ], 'Status' => [ 'shape' => 'ActionStatus', ], 'Properties' => [ 'shape' => 'LineageEntityParameters', ], 'MetadataProperties' => [ 'shape' => 'MetadataProperties', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateActionResponse' => [ 'type' => 'structure', 'members' => [ 'ActionArn' => [ 'shape' => 'ActionArn', ], ], ], 'CreateAlgorithmInput' => [ 'type' => 'structure', 'required' => [ 'AlgorithmName', 'TrainingSpecification', ], 'members' => [ 'AlgorithmName' => [ 'shape' => 'EntityName', ], 'AlgorithmDescription' => [ 'shape' => 'EntityDescription', ], 'TrainingSpecification' => [ 'shape' => 'TrainingSpecification', ], 'InferenceSpecification' => [ 'shape' => 'InferenceSpecification', ], 'ValidationSpecification' => [ 'shape' => 'AlgorithmValidationSpecification', ], 'CertifyForMarketplace' => [ 'shape' => 'CertifyForMarketplace', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateAlgorithmOutput' => [ 'type' => 'structure', 'required' => [ 'AlgorithmArn', ], 'members' => [ 'AlgorithmArn' => [ 'shape' => 'AlgorithmArn', ], ], ], 'CreateAppImageConfigRequest' => [ 'type' => 'structure', 'required' => [ 'AppImageConfigName', ], 'members' => [ 'AppImageConfigName' => [ 'shape' => 'AppImageConfigName', ], 'Tags' => [ 'shape' => 'TagList', ], 'KernelGatewayImageConfig' => [ 'shape' => 'KernelGatewayImageConfig', ], 'JupyterLabAppImageConfig' => [ 'shape' => 'JupyterLabAppImageConfig', ], 'CodeEditorAppImageConfig' => [ 'shape' => 'CodeEditorAppImageConfig', ], ], ], 'CreateAppImageConfigResponse' => [ 'type' => 'structure', 'members' => [ 'AppImageConfigArn' => [ 'shape' => 'AppImageConfigArn', ], ], ], 'CreateAppRequest' => [ 'type' => 'structure', 'required' => [ 'DomainId', 'AppType', 'AppName', ], 'members' => [ 'DomainId' => [ 'shape' => 'DomainId', ], 'UserProfileName' => [ 'shape' => 'UserProfileName', ], 'SpaceName' => [ 'shape' => 'SpaceName', ], 'AppType' => [ 'shape' => 'AppType', ], 'AppName' => [ 'shape' => 'AppName', ], 'Tags' => [ 'shape' => 'TagList', ], 'ResourceSpec' => [ 'shape' => 'ResourceSpec', ], ], ], 'CreateAppResponse' => [ 'type' => 'structure', 'members' => [ 'AppArn' => [ 'shape' => 'AppArn', ], ], ], 'CreateArtifactRequest' => [ 'type' => 'structure', 'required' => [ 'Source', 'ArtifactType', ], 'members' => [ 'ArtifactName' => [ 'shape' => 'ExperimentEntityName', ], 'Source' => [ 'shape' => 'ArtifactSource', ], 'ArtifactType' => [ 'shape' => 'String256', ], 'Properties' => [ 'shape' => 'ArtifactProperties', ], 'MetadataProperties' => [ 'shape' => 'MetadataProperties', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateArtifactResponse' => [ 'type' => 'structure', 'members' => [ 'ArtifactArn' => [ 'shape' => 'ArtifactArn', ], ], ], 'CreateAutoMLJobRequest' => [ 'type' => 'structure', 'required' => [ 'AutoMLJobName', 'InputDataConfig', 'OutputDataConfig', 'RoleArn', ], 'members' => [ 'AutoMLJobName' => [ 'shape' => 'AutoMLJobName', ], 'InputDataConfig' => [ 'shape' => 'AutoMLInputDataConfig', ], 'OutputDataConfig' => [ 'shape' => 'AutoMLOutputDataConfig', ], 'ProblemType' => [ 'shape' => 'ProblemType', ], 'AutoMLJobObjective' => [ 'shape' => 'AutoMLJobObjective', ], 'AutoMLJobConfig' => [ 'shape' => 'AutoMLJobConfig', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'GenerateCandidateDefinitionsOnly' => [ 'shape' => 'GenerateCandidateDefinitionsOnly', ], 'Tags' => [ 'shape' => 'TagList', ], 'ModelDeployConfig' => [ 'shape' => 'ModelDeployConfig', ], ], ], 'CreateAutoMLJobResponse' => [ 'type' => 'structure', 'required' => [ 'AutoMLJobArn', ], 'members' => [ 'AutoMLJobArn' => [ 'shape' => 'AutoMLJobArn', ], ], ], 'CreateAutoMLJobV2Request' => [ 'type' => 'structure', 'required' => [ 'AutoMLJobName', 'AutoMLJobInputDataConfig', 'OutputDataConfig', 'AutoMLProblemTypeConfig', 'RoleArn', ], 'members' => [ 'AutoMLJobName' => [ 'shape' => 'AutoMLJobName', ], 'AutoMLJobInputDataConfig' => [ 'shape' => 'AutoMLJobInputDataConfig', ], 'OutputDataConfig' => [ 'shape' => 'AutoMLOutputDataConfig', ], 'AutoMLProblemTypeConfig' => [ 'shape' => 'AutoMLProblemTypeConfig', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'Tags' => [ 'shape' => 'TagList', ], 'SecurityConfig' => [ 'shape' => 'AutoMLSecurityConfig', ], 'AutoMLJobObjective' => [ 'shape' => 'AutoMLJobObjective', ], 'ModelDeployConfig' => [ 'shape' => 'ModelDeployConfig', ], 'DataSplitConfig' => [ 'shape' => 'AutoMLDataSplitConfig', ], 'AutoMLComputeConfig' => [ 'shape' => 'AutoMLComputeConfig', ], ], ], 'CreateAutoMLJobV2Response' => [ 'type' => 'structure', 'required' => [ 'AutoMLJobArn', ], 'members' => [ 'AutoMLJobArn' => [ 'shape' => 'AutoMLJobArn', ], ], ], 'CreateClusterRequest' => [ 'type' => 'structure', 'required' => [ 'ClusterName', 'InstanceGroups', ], 'members' => [ 'ClusterName' => [ 'shape' => 'ClusterName', ], 'InstanceGroups' => [ 'shape' => 'ClusterInstanceGroupSpecifications', ], 'VpcConfig' => [ 'shape' => 'VpcConfig', ], 'Tags' => [ 'shape' => 'TagList', ], 'Orchestrator' => [ 'shape' => 'ClusterOrchestrator', ], 'NodeRecovery' => [ 'shape' => 'ClusterNodeRecovery', ], ], ], 'CreateClusterResponse' => [ 'type' => 'structure', 'required' => [ 'ClusterArn', ], 'members' => [ 'ClusterArn' => [ 'shape' => 'ClusterArn', ], ], ], 'CreateClusterSchedulerConfigRequest' => [ 'type' => 'structure', 'required' => [ 'Name', 'ClusterArn', 'SchedulerConfig', ], 'members' => [ 'Name' => [ 'shape' => 'EntityName', ], 'ClusterArn' => [ 'shape' => 'ClusterArn', ], 'SchedulerConfig' => [ 'shape' => 'SchedulerConfig', ], 'Description' => [ 'shape' => 'EntityDescription', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateClusterSchedulerConfigResponse' => [ 'type' => 'structure', 'required' => [ 'ClusterSchedulerConfigArn', 'ClusterSchedulerConfigId', ], 'members' => [ 'ClusterSchedulerConfigArn' => [ 'shape' => 'ClusterSchedulerConfigArn', ], 'ClusterSchedulerConfigId' => [ 'shape' => 'ClusterSchedulerConfigId', ], ], ], 'CreateCodeRepositoryInput' => [ 'type' => 'structure', 'required' => [ 'CodeRepositoryName', 'GitConfig', ], 'members' => [ 'CodeRepositoryName' => [ 'shape' => 'EntityName', ], 'GitConfig' => [ 'shape' => 'GitConfig', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateCodeRepositoryOutput' => [ 'type' => 'structure', 'required' => [ 'CodeRepositoryArn', ], 'members' => [ 'CodeRepositoryArn' => [ 'shape' => 'CodeRepositoryArn', ], ], ], 'CreateCompilationJobRequest' => [ 'type' => 'structure', 'required' => [ 'CompilationJobName', 'RoleArn', 'OutputConfig', 'StoppingCondition', ], 'members' => [ 'CompilationJobName' => [ 'shape' => 'EntityName', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'ModelPackageVersionArn' => [ 'shape' => 'ModelPackageArn', ], 'InputConfig' => [ 'shape' => 'InputConfig', ], 'OutputConfig' => [ 'shape' => 'OutputConfig', ], 'VpcConfig' => [ 'shape' => 'NeoVpcConfig', ], 'StoppingCondition' => [ 'shape' => 'StoppingCondition', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateCompilationJobResponse' => [ 'type' => 'structure', 'required' => [ 'CompilationJobArn', ], 'members' => [ 'CompilationJobArn' => [ 'shape' => 'CompilationJobArn', ], ], ], 'CreateComputeQuotaRequest' => [ 'type' => 'structure', 'required' => [ 'Name', 'ClusterArn', 'ComputeQuotaConfig', 'ComputeQuotaTarget', ], 'members' => [ 'Name' => [ 'shape' => 'EntityName', ], 'Description' => [ 'shape' => 'EntityDescription', ], 'ClusterArn' => [ 'shape' => 'ClusterArn', ], 'ComputeQuotaConfig' => [ 'shape' => 'ComputeQuotaConfig', ], 'ComputeQuotaTarget' => [ 'shape' => 'ComputeQuotaTarget', ], 'ActivationState' => [ 'shape' => 'ActivationState', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateComputeQuotaResponse' => [ 'type' => 'structure', 'required' => [ 'ComputeQuotaArn', 'ComputeQuotaId', ], 'members' => [ 'ComputeQuotaArn' => [ 'shape' => 'ComputeQuotaArn', ], 'ComputeQuotaId' => [ 'shape' => 'ComputeQuotaId', ], ], ], 'CreateContextRequest' => [ 'type' => 'structure', 'required' => [ 'ContextName', 'Source', 'ContextType', ], 'members' => [ 'ContextName' => [ 'shape' => 'ContextName', ], 'Source' => [ 'shape' => 'ContextSource', ], 'ContextType' => [ 'shape' => 'String256', ], 'Description' => [ 'shape' => 'ExperimentDescription', ], 'Properties' => [ 'shape' => 'LineageEntityParameters', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateContextResponse' => [ 'type' => 'structure', 'members' => [ 'ContextArn' => [ 'shape' => 'ContextArn', ], ], ], 'CreateDataQualityJobDefinitionRequest' => [ 'type' => 'structure', 'required' => [ 'JobDefinitionName', 'DataQualityAppSpecification', 'DataQualityJobInput', 'DataQualityJobOutputConfig', 'JobResources', 'RoleArn', ], 'members' => [ 'JobDefinitionName' => [ 'shape' => 'MonitoringJobDefinitionName', ], 'DataQualityBaselineConfig' => [ 'shape' => 'DataQualityBaselineConfig', ], 'DataQualityAppSpecification' => [ 'shape' => 'DataQualityAppSpecification', ], 'DataQualityJobInput' => [ 'shape' => 'DataQualityJobInput', ], 'DataQualityJobOutputConfig' => [ 'shape' => 'MonitoringOutputConfig', ], 'JobResources' => [ 'shape' => 'MonitoringResources', ], 'NetworkConfig' => [ 'shape' => 'MonitoringNetworkConfig', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'StoppingCondition' => [ 'shape' => 'MonitoringStoppingCondition', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateDataQualityJobDefinitionResponse' => [ 'type' => 'structure', 'required' => [ 'JobDefinitionArn', ], 'members' => [ 'JobDefinitionArn' => [ 'shape' => 'MonitoringJobDefinitionArn', ], ], ], 'CreateDeviceFleetRequest' => [ 'type' => 'structure', 'required' => [ 'DeviceFleetName', 'OutputConfig', ], 'members' => [ 'DeviceFleetName' => [ 'shape' => 'EntityName', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'Description' => [ 'shape' => 'DeviceFleetDescription', ], 'OutputConfig' => [ 'shape' => 'EdgeOutputConfig', ], 'Tags' => [ 'shape' => 'TagList', ], 'EnableIotRoleAlias' => [ 'shape' => 'EnableIotRoleAlias', ], ], ], 'CreateDomainRequest' => [ 'type' => 'structure', 'required' => [ 'DomainName', 'AuthMode', 'DefaultUserSettings', 'SubnetIds', 'VpcId', ], 'members' => [ 'DomainName' => [ 'shape' => 'DomainName', ], 'AuthMode' => [ 'shape' => 'AuthMode', ], 'DefaultUserSettings' => [ 'shape' => 'UserSettings', ], 'DomainSettings' => [ 'shape' => 'DomainSettings', ], 'SubnetIds' => [ 'shape' => 'Subnets', ], 'VpcId' => [ 'shape' => 'VpcId', ], 'Tags' => [ 'shape' => 'TagList', ], 'AppNetworkAccessType' => [ 'shape' => 'AppNetworkAccessType', ], 'HomeEfsFileSystemKmsKeyId' => [ 'shape' => 'KmsKeyId', 'deprecated' => true, 'deprecatedMessage' => 'This property is deprecated, use KmsKeyId instead.', ], 'KmsKeyId' => [ 'shape' => 'KmsKeyId', ], 'AppSecurityGroupManagement' => [ 'shape' => 'AppSecurityGroupManagement', ], 'TagPropagation' => [ 'shape' => 'TagPropagation', ], 'DefaultSpaceSettings' => [ 'shape' => 'DefaultSpaceSettings', ], ], ], 'CreateDomainResponse' => [ 'type' => 'structure', 'members' => [ 'DomainArn' => [ 'shape' => 'DomainArn', ], 'Url' => [ 'shape' => 'String1024', ], ], ], 'CreateEdgeDeploymentPlanRequest' => [ 'type' => 'structure', 'required' => [ 'EdgeDeploymentPlanName', 'ModelConfigs', 'DeviceFleetName', ], 'members' => [ 'EdgeDeploymentPlanName' => [ 'shape' => 'EntityName', ], 'ModelConfigs' => [ 'shape' => 'EdgeDeploymentModelConfigs', ], 'DeviceFleetName' => [ 'shape' => 'EntityName', ], 'Stages' => [ 'shape' => 'DeploymentStages', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateEdgeDeploymentPlanResponse' => [ 'type' => 'structure', 'required' => [ 'EdgeDeploymentPlanArn', ], 'members' => [ 'EdgeDeploymentPlanArn' => [ 'shape' => 'EdgeDeploymentPlanArn', ], ], ], 'CreateEdgeDeploymentStageRequest' => [ 'type' => 'structure', 'required' => [ 'EdgeDeploymentPlanName', 'Stages', ], 'members' => [ 'EdgeDeploymentPlanName' => [ 'shape' => 'EntityName', ], 'Stages' => [ 'shape' => 'DeploymentStages', ], ], ], 'CreateEdgePackagingJobRequest' => [ 'type' => 'structure', 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'ExplainerConfig' => [ 'shape' => 'ExplainerConfig', ], 'ShadowProductionVariants' => [ 'shape' => 'ProductionVariantList', ], 'ExecutionRoleArn' => [ 'shape' => 'RoleArn', ], 'VpcConfig' => [ 'shape' => 'VpcConfig', ], 'EnableNetworkIsolation' => [ 'shape' => 'Boolean', ], ], ], 'CreateEndpointConfigOutput' => [ 'type' => 'structure', 'required' => [ 'EndpointConfigArn', ], 'members' => [ 'EndpointConfigArn' => [ 'shape' => 'EndpointConfigArn', ], ], ], 'CreateEndpointInput' => [ 'type' => 'structure', 'required' => [ 'EndpointName', 'EndpointConfigName', ], 'members' => [ 'EndpointName' => [ 'shape' => 'EndpointName', ], 'EndpointConfigName' => [ 'shape' => 'EndpointConfigName', ], 'DeploymentConfig' => [ 'shape' => 'DeploymentConfig', ], 'Tags' => [ 'shape' => 'TagList', ], ], ], 'CreateEndpointOutput' => [ 'type' => 'structure', 'required' => [ 'EndpointArn', ], 'members' => [ 'EndpointArn' => [ 'shape' => 'EndpointArn', ], ], ], 'CreateExperimentRequest' => [ 'type' => 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'type' => 'structure', 'required' => [ 'ModelCardName', ], 'members' => [ 'ModelCardName' => [ 'shape' => 'EntityName', ], ], ], 'DeleteModelExplainabilityJobDefinitionRequest' => [ 'type' => 'structure', 'required' => [ 'JobDefinitionName', ], 'members' => [ 'JobDefinitionName' => [ 'shape' => 'MonitoringJobDefinitionName', ], ], ], 'DeleteModelInput' => [ 'type' => 'structure', 'required' => [ 'ModelName', ], 'members' => [ 'ModelName' => [ 'shape' => 'ModelName', ], ], ], 'DeleteModelPackageGroupInput' => [ 'type' => 'structure', 'required' => [ 'ModelPackageGroupName', ], 'members' => [ 'ModelPackageGroupName' => [ 'shape' => 'ArnOrName', ], ], ], 'DeleteModelPackageGroupPolicyInput' => [ 'type' => 'structure', 'required' => [ 'ModelPackageGroupName', ], 'members' => [ 'ModelPackageGroupName' => [ 'shape' => 'EntityName', ], ], ], 'DeleteModelPackageInput' => [ 'type' => 'structure', 'required' => [ 'ModelPackageName', ], 'members' => [ 'ModelPackageName' => [ 'shape' => 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'DependencyCopyPath' => [ 'type' => 'string', 'max' => 1023, 'pattern' => '.*', ], 'DependencyOriginPath' => [ 'type' => 'string', 'max' => 1023, 'pattern' => '.*', ], 'DeployedImage' => [ 'type' => 'structure', 'members' => [ 'SpecifiedImage' => [ 'shape' => 'ContainerImage', ], 'ResolvedImage' => [ 'shape' => 'ContainerImage', ], 'ResolutionTime' => [ 'shape' => 'Timestamp', ], ], ], 'DeployedImages' => [ 'type' => 'list', 'member' => [ 'shape' => 'DeployedImage', ], ], 'DeploymentConfig' => [ 'type' => 'structure', 'members' => [ 'BlueGreenUpdatePolicy' => [ 'shape' => 'BlueGreenUpdatePolicy', ], 'RollingUpdatePolicy' => [ 'shape' => 'RollingUpdatePolicy', ], 'AutoRollbackConfiguration' => [ 'shape' => 'AutoRollbackConfig', ], ], ], 'DeploymentRecommendation' => [ 'type' => 'structure', 'required' => [ 'RecommendationStatus', ], 'members' => [ 'RecommendationStatus' => [ 'shape' => 'RecommendationStatus', ], 'RealTimeInferenceRecommendations' => [ 'shape' => 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[ 'shape' => 'DeploymentStage', ], ], 'DeregisterDevicesRequest' => [ 'type' => 'structure', 'required' => [ 'DeviceFleetName', 'DeviceNames', ], 'members' => [ 'DeviceFleetName' => [ 'shape' => 'EntityName', ], 'DeviceNames' => [ 'shape' => 'DeviceNames', ], ], ], 'DerivedInformation' => [ 'type' => 'structure', 'members' => [ 'DerivedDataInputConfig' => [ 'shape' => 'DataInputConfig', ], ], ], 'DescribeActionRequest' => [ 'type' => 'structure', 'required' => [ 'ActionName', ], 'members' => [ 'ActionName' => [ 'shape' => 'ExperimentEntityNameOrArn', ], ], ], 'DescribeActionResponse' => [ 'type' => 'structure', 'members' => [ 'ActionName' => [ 'shape' => 'ExperimentEntityNameOrArn', ], 'ActionArn' => [ 'shape' => 'ActionArn', ], 'Source' => [ 'shape' => 'ActionSource', ], 'ActionType' => [ 'shape' => 'String256', ], 'Description' => [ 'shape' => 'ExperimentDescription', ], 'Status' => [ 'shape' => 'ActionStatus', ], 'Properties' => [ 'shape' => 'LineageEntityParameters', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'CreatedBy' => [ 'shape' => 'UserContext', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedBy' => [ 'shape' => 'UserContext', ], 'MetadataProperties' => [ 'shape' => 'MetadataProperties', ], 'LineageGroupArn' => [ 'shape' => 'LineageGroupArn', ], ], ], 'DescribeAlgorithmInput' => [ 'type' => 'structure', 'required' => [ 'AlgorithmName', ], 'members' => [ 'AlgorithmName' => [ 'shape' => 'ArnOrName', ], ], ], 'DescribeAlgorithmOutput' => [ 'type' => 'structure', 'required' => [ 'AlgorithmName', 'AlgorithmArn', 'CreationTime', 'TrainingSpecification', 'AlgorithmStatus', 'AlgorithmStatusDetails', ], 'members' => [ 'AlgorithmName' => [ 'shape' => 'EntityName', ], 'AlgorithmArn' => [ 'shape' => 'AlgorithmArn', ], 'AlgorithmDescription' => [ 'shape' => 'EntityDescription', ], 'CreationTime' => [ 'shape' => 'CreationTime', ], 'TrainingSpecification' => [ 'shape' => 'TrainingSpecification', ], 'InferenceSpecification' => [ 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'CodeEditorAppImageConfig' => [ 'shape' => 'CodeEditorAppImageConfig', ], ], ], 'DescribeAppRequest' => [ 'type' => 'structure', 'required' => [ 'DomainId', 'AppType', 'AppName', ], 'members' => [ 'DomainId' => [ 'shape' => 'DomainId', ], 'UserProfileName' => [ 'shape' => 'UserProfileName', ], 'SpaceName' => [ 'shape' => 'SpaceName', ], 'AppType' => [ 'shape' => 'AppType', ], 'AppName' => [ 'shape' => 'AppName', ], ], ], 'DescribeAppResponse' => [ 'type' => 'structure', 'members' => [ 'AppArn' => [ 'shape' => 'AppArn', ], 'AppType' => [ 'shape' => 'AppType', ], 'AppName' => [ 'shape' => 'AppName', ], 'DomainId' => [ 'shape' => 'DomainId', ], 'UserProfileName' => [ 'shape' => 'UserProfileName', ], 'SpaceName' => [ 'shape' => 'SpaceName', ], 'Status' => [ 'shape' => 'AppStatus', ], 'LastHealthCheckTimestamp' => [ 'shape' => 'Timestamp', ], 'LastUserActivityTimestamp' => [ 'shape' => 'Timestamp', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'FailureReason' => [ 'shape' => 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'CreatedBy' => [ 'shape' => 'UserContext', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedBy' => [ 'shape' => 'UserContext', ], ], ], 'DescribeContextRequest' => [ 'type' => 'structure', 'required' => [ 'ContextName', ], 'members' => [ 'ContextName' => [ 'shape' => 'ContextNameOrArn', ], ], ], 'DescribeContextResponse' => [ 'type' => 'structure', 'members' => [ 'ContextName' => [ 'shape' => 'ContextName', ], 'ContextArn' => [ 'shape' => 'ContextArn', ], 'Source' => [ 'shape' => 'ContextSource', ], 'ContextType' => [ 'shape' => 'String256', ], 'Description' => [ 'shape' => 'ExperimentDescription', ], 'Properties' => [ 'shape' => 'LineageEntityParameters', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'CreatedBy' => [ 'shape' => 'UserContext', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedBy' => [ 'shape' => 'UserContext', ], 'LineageGroupArn' => [ 'shape' => 'LineageGroupArn', ], ], ], 'DescribeDataQualityJobDefinitionRequest' => [ 'type' => 'structure', 'required' => [ 'JobDefinitionName', ], 'members' => [ 'JobDefinitionName' => [ 'shape' => 'MonitoringJobDefinitionName', ], ], ], 'DescribeDataQualityJobDefinitionResponse' => [ 'type' => 'structure', 'required' => [ 'JobDefinitionArn', 'JobDefinitionName', 'CreationTime', 'DataQualityAppSpecification', 'DataQualityJobInput', 'DataQualityJobOutputConfig', 'JobResources', 'RoleArn', ], 'members' => [ 'JobDefinitionArn' => [ 'shape' => 'MonitoringJobDefinitionArn', ], 'JobDefinitionName' => [ 'shape' => 'MonitoringJobDefinitionName', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'DataQualityBaselineConfig' => [ 'shape' => 'DataQualityBaselineConfig', ], 'DataQualityAppSpecification' => [ 'shape' => 'DataQualityAppSpecification', ], 'DataQualityJobInput' => [ 'shape' => 'DataQualityJobInput', ], 'DataQualityJobOutputConfig' => [ 'shape' => 'MonitoringOutputConfig', ], 'JobResources' => [ 'shape' => 'MonitoringResources', ], 'NetworkConfig' => [ 'shape' => 'MonitoringNetworkConfig', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'StoppingCondition' => [ 'shape' => 'MonitoringStoppingCondition', ], ], ], 'DescribeDeviceFleetRequest' => [ 'type' => 'structure', 'required' => [ 'DeviceFleetName', ], 'members' => [ 'DeviceFleetName' => [ 'shape' => 'EntityName', ], ], ], 'DescribeDeviceFleetResponse' => [ 'type' => 'structure', 'required' => [ 'DeviceFleetName', 'DeviceFleetArn', 'OutputConfig', 'CreationTime', 'LastModifiedTime', ], 'members' => [ 'DeviceFleetName' => [ 'shape' => 'EntityName', ], 'DeviceFleetArn' => [ 'shape' => 'DeviceFleetArn', ], 'OutputConfig' => [ 'shape' => 'EdgeOutputConfig', ], 'Description' => [ 'shape' => 'DeviceFleetDescription', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'IotRoleAlias' => [ 'shape' => 'IotRoleAlias', ], ], ], 'DescribeDeviceRequest' => [ 'type' => 'structure', 'required' => [ 'DeviceName', 'DeviceFleetName', ], 'members' => [ 'NextToken' => [ 'shape' => 'NextToken', ], 'DeviceName' => [ 'shape' => 'EntityName', ], 'DeviceFleetName' => [ 'shape' => 'EntityName', ], ], ], 'DescribeDeviceResponse' => [ 'type' => 'structure', 'required' => [ 'DeviceName', 'DeviceFleetName', 'RegistrationTime', ], 'members' => [ 'DeviceArn' => [ 'shape' => 'DeviceArn', ], 'DeviceName' => [ 'shape' => 'EntityName', ], 'Description' => [ 'shape' => 'DeviceDescription', ], 'DeviceFleetName' => [ 'shape' => 'EntityName', ], 'IotThingName' => [ 'shape' => 'ThingName', ], 'RegistrationTime' => [ 'shape' => 'Timestamp', ], 'LatestHeartbeat' => [ 'shape' => 'Timestamp', ], 'Models' => [ 'shape' => 'EdgeModels', ], 'MaxModels' => [ 'shape' => 'Integer', ], 'NextToken' => [ 'shape' => 'NextToken', ], 'AgentVersion' => [ 'shape' => 'EdgeVersion', ], ], ], 'DescribeDomainRequest' => [ 'type' => 'structure', 'required' => [ 'DomainId', ], 'members' => [ 'DomainId' => [ 'shape' => 'DomainId', ], ], ], 'DescribeDomainResponse' => [ 'type' => 'structure', 'members' => [ 'DomainArn' => [ 'shape' => 'DomainArn', ], 'DomainId' => [ 'shape' => 'DomainId', ], 'DomainName' => [ 'shape' => 'DomainName', ], 'HomeEfsFileSystemId' => [ 'shape' => 'ResourceId', ], 'SingleSignOnManagedApplicationInstanceId' => [ 'shape' => 'String256', ], 'SingleSignOnApplicationArn' => [ 'shape' => 'SingleSignOnApplicationArn', ], 'Status' => [ 'shape' => 'DomainStatus', ], 'CreationTime' => [ 'shape' => 'CreationTime', ], 'LastModifiedTime' => [ 'shape' => 'LastModifiedTime', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'SecurityGroupIdForDomainBoundary' => [ 'shape' => 'SecurityGroupId', ], 'AuthMode' => [ 'shape' => 'AuthMode', ], 'DefaultUserSettings' => [ 'shape' => 'UserSettings', ], 'DomainSettings' => [ 'shape' => 'DomainSettings', ], 'AppNetworkAccessType' => [ 'shape' => 'AppNetworkAccessType', ], 'HomeEfsFileSystemKmsKeyId' => [ 'shape' => 'KmsKeyId', 'deprecated' => true, 'deprecatedMessage' => 'This property is deprecated, use KmsKeyId instead.', ], 'SubnetIds' => [ 'shape' => 'Subnets', ], 'Url' => [ 'shape' => 'String1024', ], 'VpcId' => [ 'shape' => 'VpcId', ], 'KmsKeyId' => [ 'shape' => 'KmsKeyId', ], 'AppSecurityGroupManagement' => [ 'shape' => 'AppSecurityGroupManagement', ], 'TagPropagation' => [ 'shape' => 'TagPropagation', ], 'DefaultSpaceSettings' => [ 'shape' => 'DefaultSpaceSettings', ], ], ], 'DescribeEdgeDeploymentPlanRequest' => [ 'type' => 'structure', 'required' => [ 'EdgeDeploymentPlanName', ], 'members' => [ 'EdgeDeploymentPlanName' => [ 'shape' => 'EntityName', ], 'NextToken' => [ 'shape' => 'NextToken', ], 'MaxResults' => [ 'shape' => 'DeploymentStageMaxResults', ], ], ], 'DescribeEdgeDeploymentPlanResponse' => [ 'type' => 'structure', 'required' => [ 'EdgeDeploymentPlanArn', 'EdgeDeploymentPlanName', 'ModelConfigs', 'DeviceFleetName', 'Stages', ], 'members' => [ 'EdgeDeploymentPlanArn' => [ 'shape' => 'EdgeDeploymentPlanArn', ], 'EdgeDeploymentPlanName' => [ 'shape' => 'EntityName', ], 'ModelConfigs' => [ 'shape' => 'EdgeDeploymentModelConfigs', ], 'DeviceFleetName' => [ 'shape' => 'EntityName', ], 'EdgeDeploymentSuccess' => [ 'shape' => 'Integer', ], 'EdgeDeploymentPending' => [ 'shape' => 'Integer', ], 'EdgeDeploymentFailed' => [ 'shape' => 'Integer', ], 'Stages' => [ 'shape' => 'DeploymentStageStatusSummaries', ], 'NextToken' => [ 'shape' => 'NextToken', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], ], ], 'DescribeEdgePackagingJobRequest' => [ 'type' => 'structure', 'required' => [ 'EdgePackagingJobName', ], 'members' => [ 'EdgePackagingJobName' => [ 'shape' => 'EntityName', ], ], ], 'DescribeEdgePackagingJobResponse' => [ 'type' => 'structure', 'required' => [ 'EdgePackagingJobArn', 'EdgePackagingJobName', 'EdgePackagingJobStatus', ], 'members' => [ 'EdgePackagingJobArn' => [ 'shape' => 'EdgePackagingJobArn', ], 'EdgePackagingJobName' => [ 'shape' => 'EntityName', ], 'CompilationJobName' => [ 'shape' => 'EntityName', ], 'ModelName' => [ 'shape' => 'EntityName', ], 'ModelVersion' => [ 'shape' => 'EdgeVersion', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'OutputConfig' => [ 'shape' => 'EdgeOutputConfig', ], 'ResourceKey' => [ 'shape' => 'KmsKeyId', ], 'EdgePackagingJobStatus' => [ 'shape' => 'EdgePackagingJobStatus', ], 'EdgePackagingJobStatusMessage' => [ 'shape' => 'String', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'ModelArtifact' => [ 'shape' => 'S3Uri', ], 'ModelSignature' => [ 'shape' => 'String', ], 'PresetDeploymentOutput' => [ 'shape' => 'EdgePresetDeploymentOutput', ], ], ], 'DescribeEndpointConfigInput' => [ 'type' => 'structure', 'required' => [ 'EndpointConfigName', ], 'members' => [ 'EndpointConfigName' => [ 'shape' => 'EndpointConfigName', ], ], ], 'DescribeEndpointConfigOutput' => [ 'type' => 'structure', 'required' => [ 'EndpointConfigName', 'EndpointConfigArn', 'ProductionVariants', 'CreationTime', ], 'members' => [ 'EndpointConfigName' => [ 'shape' => 'EndpointConfigName', ], 'EndpointConfigArn' => [ 'shape' => 'EndpointConfigArn', ], 'ProductionVariants' => [ 'shape' => 'ProductionVariantList', ], 'DataCaptureConfig' => [ 'shape' => 'DataCaptureConfig', ], 'KmsKeyId' => [ 'shape' => 'KmsKeyId', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'AsyncInferenceConfig' => [ 'shape' => 'AsyncInferenceConfig', ], 'ExplainerConfig' => [ 'shape' => 'ExplainerConfig', ], 'ShadowProductionVariants' => [ 'shape' => 'ProductionVariantList', ], 'ExecutionRoleArn' => [ 'shape' => 'RoleArn', ], 'VpcConfig' => [ 'shape' => 'VpcConfig', ], 'EnableNetworkIsolation' => [ 'shape' => 'Boolean', ], ], ], 'DescribeEndpointInput' => [ 'type' => 'structure', 'required' => [ 'EndpointName', ], 'members' => [ 'EndpointName' => [ 'shape' => 'EndpointName', ], ], ], 'DescribeEndpointOutput' => [ 'type' => 'structure', 'required' => [ 'EndpointName', 'EndpointArn', 'EndpointStatus', 'CreationTime', 'LastModifiedTime', ], 'members' => [ 'EndpointName' => [ 'shape' => 'EndpointName', ], 'EndpointArn' => [ 'shape' => 'EndpointArn', ], 'EndpointConfigName' => [ 'shape' => 'EndpointConfigName', ], 'ProductionVariants' => [ 'shape' => 'ProductionVariantSummaryList', ], 'DataCaptureConfig' => [ 'shape' => 'DataCaptureConfigSummary', ], 'EndpointStatus' => [ 'shape' => 'EndpointStatus', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastDeploymentConfig' => [ 'shape' => 'DeploymentConfig', ], 'AsyncInferenceConfig' => [ 'shape' => 'AsyncInferenceConfig', ], 'PendingDeploymentSummary' => [ 'shape' => 'PendingDeploymentSummary', ], 'ExplainerConfig' => [ 'shape' => 'ExplainerConfig', ], 'ShadowProductionVariants' => [ 'shape' => 'ProductionVariantSummaryList', ], ], ], 'DescribeExperimentRequest' => [ 'type' => 'structure', 'required' => [ 'ExperimentName', ], 'members' => [ 'ExperimentName' => [ 'shape' => 'ExperimentEntityName', ], ], ], 'DescribeExperimentResponse' => [ 'type' => 'structure', 'members' => [ 'ExperimentName' => [ 'shape' => 'ExperimentEntityName', ], 'ExperimentArn' => [ 'shape' => 'ExperimentArn', ], 'DisplayName' => [ 'shape' => 'ExperimentEntityName', ], 'Source' => [ 'shape' => 'ExperimentSource', ], 'Description' => [ 'shape' => 'ExperimentDescription', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'CreatedBy' => [ 'shape' => 'UserContext', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedBy' => [ 'shape' => 'UserContext', ], ], ], 'DescribeFeatureGroupRequest' => [ 'type' => 'structure', 'required' => [ 'FeatureGroupName', ], 'members' => [ 'FeatureGroupName' => [ 'shape' => 'FeatureGroupNameOrArn', ], 'NextToken' => [ 'shape' => 'NextToken', ], ], ], 'DescribeFeatureGroupResponse' => [ 'type' => 'structure', 'required' => [ 'FeatureGroupArn', 'FeatureGroupName', 'RecordIdentifierFeatureName', 'EventTimeFeatureName', 'FeatureDefinitions', 'CreationTime', 'NextToken', ], 'members' => [ 'FeatureGroupArn' => [ 'shape' => 'FeatureGroupArn', ], 'FeatureGroupName' => [ 'shape' => 'FeatureGroupName', ], 'RecordIdentifierFeatureName' => [ 'shape' => 'FeatureName', ], 'EventTimeFeatureName' => [ 'shape' => 'FeatureName', ], 'FeatureDefinitions' => [ 'shape' => 'FeatureDefinitions', ], 'CreationTime' => [ 'shape' => 'CreationTime', ], 'LastModifiedTime' => [ 'shape' => 'LastModifiedTime', ], 'OnlineStoreConfig' => [ 'shape' => 'OnlineStoreConfig', ], 'OfflineStoreConfig' => [ 'shape' => 'OfflineStoreConfig', ], 'ThroughputConfig' => [ 'shape' => 'ThroughputConfigDescription', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'FeatureGroupStatus' => [ 'shape' => 'FeatureGroupStatus', ], 'OfflineStoreStatus' => [ 'shape' => 'OfflineStoreStatus', ], 'LastUpdateStatus' => [ 'shape' => 'LastUpdateStatus', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'Description' => [ 'shape' => 'Description', ], 'NextToken' => [ 'shape' => 'NextToken', ], 'OnlineStoreTotalSizeBytes' => [ 'shape' => 'OnlineStoreTotalSizeBytes', ], ], ], 'DescribeFeatureMetadataRequest' => [ 'type' => 'structure', 'required' => [ 'FeatureGroupName', 'FeatureName', ], 'members' => [ 'FeatureGroupName' => [ 'shape' => 'FeatureGroupNameOrArn', ], 'FeatureName' => [ 'shape' => 'FeatureName', ], ], ], 'DescribeFeatureMetadataResponse' => [ 'type' => 'structure', 'required' => [ 'FeatureGroupArn', 'FeatureGroupName', 'FeatureName', 'FeatureType', 'CreationTime', 'LastModifiedTime', ], 'members' => [ 'FeatureGroupArn' => [ 'shape' => 'FeatureGroupArn', ], 'FeatureGroupName' => [ 'shape' => 'FeatureGroupName', ], 'FeatureName' => [ 'shape' => 'FeatureName', ], 'FeatureType' => [ 'shape' => 'FeatureType', ], 'CreationTime' => [ 'shape' => 'CreationTime', ], 'LastModifiedTime' => [ 'shape' => 'LastModifiedTime', ], 'Description' => [ 'shape' => 'FeatureDescription', ], 'Parameters' => [ 'shape' => 'FeatureParameters', ], ], ], 'DescribeFlowDefinitionRequest' => [ 'type' => 'structure', 'required' => [ 'FlowDefinitionName', ], 'members' => [ 'FlowDefinitionName' => [ 'shape' => 'FlowDefinitionName', ], ], ], 'DescribeFlowDefinitionResponse' => [ 'type' => 'structure', 'required' => [ 'FlowDefinitionArn', 'FlowDefinitionName', 'FlowDefinitionStatus', 'CreationTime', 'OutputConfig', 'RoleArn', ], 'members' => [ 'FlowDefinitionArn' => [ 'shape' => 'FlowDefinitionArn', ], 'FlowDefinitionName' => [ 'shape' => 'FlowDefinitionName', ], 'FlowDefinitionStatus' => [ 'shape' => 'FlowDefinitionStatus', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'HumanLoopRequestSource' => [ 'shape' => 'HumanLoopRequestSource', ], 'HumanLoopActivationConfig' => [ 'shape' => 'HumanLoopActivationConfig', ], 'HumanLoopConfig' => [ 'shape' => 'HumanLoopConfig', ], 'OutputConfig' => [ 'shape' => 'FlowDefinitionOutputConfig', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], ], ], 'DescribeHubContentRequest' => [ 'type' => 'structure', 'required' => [ 'HubName', 'HubContentType', 'HubContentName', ], 'members' => [ 'HubName' => [ 'shape' => 'HubNameOrArn', ], 'HubContentType' => [ 'shape' => 'HubContentType', ], 'HubContentName' => [ 'shape' => 'HubContentName', ], 'HubContentVersion' => [ 'shape' => 'HubContentVersion', ], ], ], 'DescribeHubContentResponse' => [ 'type' => 'structure', 'required' => [ 'HubContentName', 'HubContentArn', 'HubContentVersion', 'HubContentType', 'DocumentSchemaVersion', 'HubName', 'HubArn', 'HubContentDocument', 'HubContentStatus', 'CreationTime', ], 'members' => [ 'HubContentName' => [ 'shape' => 'HubContentName', ], 'HubContentArn' => [ 'shape' => 'HubContentArn', ], 'HubContentVersion' => [ 'shape' => 'HubContentVersion', ], 'HubContentType' => [ 'shape' => 'HubContentType', ], 'DocumentSchemaVersion' => [ 'shape' => 'DocumentSchemaVersion', ], 'HubName' => [ 'shape' => 'HubName', ], 'HubArn' => [ 'shape' => 'HubArn', ], 'HubContentDisplayName' => [ 'shape' => 'HubContentDisplayName', ], 'HubContentDescription' => [ 'shape' => 'HubContentDescription', ], 'HubContentMarkdown' => [ 'shape' => 'HubContentMarkdown', ], 'HubContentDocument' => [ 'shape' => 'HubContentDocument', ], 'SageMakerPublicHubContentArn' => [ 'shape' => 'SageMakerPublicHubContentArn', ], 'ReferenceMinVersion' => [ 'shape' => 'ReferenceMinVersion', ], 'SupportStatus' => [ 'shape' => 'HubContentSupportStatus', ], 'HubContentSearchKeywords' => [ 'shape' => 'HubContentSearchKeywordList', ], 'HubContentDependencies' => [ 'shape' => 'HubContentDependencyList', ], 'HubContentStatus' => [ 'shape' => 'HubContentStatus', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], ], ], 'DescribeHubRequest' => [ 'type' => 'structure', 'required' => [ 'HubName', ], 'members' => [ 'HubName' => [ 'shape' => 'HubNameOrArn', ], ], ], 'DescribeHubResponse' => [ 'type' => 'structure', 'required' => [ 'HubName', 'HubArn', 'HubStatus', 'CreationTime', 'LastModifiedTime', ], 'members' => [ 'HubName' => [ 'shape' => 'HubName', ], 'HubArn' => [ 'shape' => 'HubArn', ], 'HubDisplayName' => [ 'shape' => 'HubDisplayName', ], 'HubDescription' => [ 'shape' => 'HubDescription', ], 'HubSearchKeywords' => [ 'shape' => 'HubSearchKeywordList', ], 'S3StorageConfig' => [ 'shape' => 'HubS3StorageConfig', ], 'HubStatus' => [ 'shape' => 'HubStatus', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], ], ], 'DescribeHumanTaskUiRequest' => [ 'type' => 'structure', 'required' => [ 'HumanTaskUiName', ], 'members' => [ 'HumanTaskUiName' => [ 'shape' => 'HumanTaskUiName', ], ], ], 'DescribeHumanTaskUiResponse' => [ 'type' => 'structure', 'required' => [ 'HumanTaskUiArn', 'HumanTaskUiName', 'CreationTime', 'UiTemplate', ], 'members' => [ 'HumanTaskUiArn' => [ 'shape' => 'HumanTaskUiArn', ], 'HumanTaskUiName' => [ 'shape' => 'HumanTaskUiName', ], 'HumanTaskUiStatus' => [ 'shape' => 'HumanTaskUiStatus', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'UiTemplate' => [ 'shape' => 'UiTemplateInfo', ], ], ], 'DescribeHyperParameterTuningJobRequest' => [ 'type' => 'structure', 'required' => [ 'HyperParameterTuningJobName', ], 'members' => [ 'HyperParameterTuningJobName' => [ 'shape' => 'HyperParameterTuningJobName', ], ], ], 'DescribeHyperParameterTuningJobResponse' => [ 'type' => 'structure', 'required' => [ 'HyperParameterTuningJobName', 'HyperParameterTuningJobArn', 'HyperParameterTuningJobConfig', 'HyperParameterTuningJobStatus', 'CreationTime', 'TrainingJobStatusCounters', 'ObjectiveStatusCounters', ], 'members' => [ 'HyperParameterTuningJobName' => [ 'shape' => 'HyperParameterTuningJobName', ], 'HyperParameterTuningJobArn' => [ 'shape' => 'HyperParameterTuningJobArn', ], 'HyperParameterTuningJobConfig' => [ 'shape' => 'HyperParameterTuningJobConfig', ], 'TrainingJobDefinition' => [ 'shape' => 'HyperParameterTrainingJobDefinition', ], 'TrainingJobDefinitions' => [ 'shape' => 'HyperParameterTrainingJobDefinitions', ], 'HyperParameterTuningJobStatus' => [ 'shape' => 'HyperParameterTuningJobStatus', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'HyperParameterTuningEndTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'TrainingJobStatusCounters' => [ 'shape' => 'TrainingJobStatusCounters', ], 'ObjectiveStatusCounters' => [ 'shape' => 'ObjectiveStatusCounters', ], 'BestTrainingJob' => [ 'shape' => 'HyperParameterTrainingJobSummary', ], 'OverallBestTrainingJob' => [ 'shape' => 'HyperParameterTrainingJobSummary', ], 'WarmStartConfig' => [ 'shape' => 'HyperParameterTuningJobWarmStartConfig', ], 'Autotune' => [ 'shape' => 'Autotune', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'TuningJobCompletionDetails' => [ 'shape' => 'HyperParameterTuningJobCompletionDetails', ], 'ConsumedResources' => [ 'shape' => 'HyperParameterTuningJobConsumedResources', ], ], ], 'DescribeImageRequest' => [ 'type' => 'structure', 'required' => [ 'ImageName', ], 'members' => [ 'ImageName' => [ 'shape' => 'ImageName', ], ], ], 'DescribeImageResponse' => [ 'type' => 'structure', 'members' => [ 'CreationTime' => [ 'shape' => 'Timestamp', ], 'Description' => [ 'shape' => 'ImageDescription', ], 'DisplayName' => [ 'shape' => 'ImageDisplayName', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'ImageArn' => [ 'shape' => 'ImageArn', ], 'ImageName' => [ 'shape' => 'ImageName', ], 'ImageStatus' => [ 'shape' => 'ImageStatus', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], ], ], 'DescribeImageVersionRequest' => [ 'type' => 'structure', 'required' => [ 'ImageName', ], 'members' => [ 'ImageName' => [ 'shape' => 'ImageName', ], 'Version' => [ 'shape' => 'ImageVersionNumber', ], 'Alias' => [ 'shape' => 'SageMakerImageVersionAlias', ], ], ], 'DescribeImageVersionResponse' => [ 'type' => 'structure', 'members' => [ 'BaseImage' => [ 'shape' => 'ImageBaseImage', ], 'ContainerImage' => [ 'shape' => 'ImageContainerImage', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'ImageArn' => [ 'shape' => 'ImageArn', ], 'ImageVersionArn' => [ 'shape' => 'ImageVersionArn', ], 'ImageVersionStatus' => [ 'shape' => 'ImageVersionStatus', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'Version' => [ 'shape' => 'ImageVersionNumber', ], 'VendorGuidance' => [ 'shape' => 'VendorGuidance', ], 'JobType' => [ 'shape' => 'JobType', ], 'MLFramework' => [ 'shape' => 'MLFramework', ], 'ProgrammingLang' => [ 'shape' => 'ProgrammingLang', ], 'Processor' => [ 'shape' => 'Processor', ], 'Horovod' => [ 'shape' => 'Horovod', ], 'ReleaseNotes' => [ 'shape' => 'ReleaseNotes', ], ], ], 'DescribeInferenceComponentInput' => [ 'type' => 'structure', 'required' => [ 'InferenceComponentName', ], 'members' => [ 'InferenceComponentName' => [ 'shape' => 'InferenceComponentName', ], ], ], 'DescribeInferenceComponentOutput' => [ 'type' => 'structure', 'required' => [ 'InferenceComponentName', 'InferenceComponentArn', 'EndpointName', 'EndpointArn', 'CreationTime', 'LastModifiedTime', ], 'members' => [ 'InferenceComponentName' => [ 'shape' => 'InferenceComponentName', ], 'InferenceComponentArn' => [ 'shape' => 'InferenceComponentArn', ], 'EndpointName' => [ 'shape' => 'EndpointName', ], 'EndpointArn' => [ 'shape' => 'EndpointArn', ], 'VariantName' => [ 'shape' => 'VariantName', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'Specification' => [ 'shape' => 'InferenceComponentSpecificationSummary', ], 'RuntimeConfig' => [ 'shape' => 'InferenceComponentRuntimeConfigSummary', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'InferenceComponentStatus' => [ 'shape' => 'InferenceComponentStatus', ], ], ], 'DescribeInferenceExperimentRequest' => [ 'type' => 'structure', 'required' => [ 'Name', ], 'members' => [ 'Name' => [ 'shape' => 'InferenceExperimentName', ], ], ], 'DescribeInferenceExperimentResponse' => [ 'type' => 'structure', 'required' => [ 'Arn', 'Name', 'Type', 'Status', 'EndpointMetadata', 'ModelVariants', ], 'members' => [ 'Arn' => [ 'shape' => 'InferenceExperimentArn', ], 'Name' => [ 'shape' => 'InferenceExperimentName', ], 'Type' => [ 'shape' => 'InferenceExperimentType', ], 'Schedule' => [ 'shape' => 'InferenceExperimentSchedule', ], 'Status' => [ 'shape' => 'InferenceExperimentStatus', ], 'StatusReason' => [ 'shape' => 'InferenceExperimentStatusReason', ], 'Description' => [ 'shape' => 'InferenceExperimentDescription', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'CompletionTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'EndpointMetadata' => [ 'shape' => 'EndpointMetadata', ], 'ModelVariants' => [ 'shape' => 'ModelVariantConfigSummaryList', ], 'DataStorageConfig' => [ 'shape' => 'InferenceExperimentDataStorageConfig', ], 'ShadowModeConfig' => [ 'shape' => 'ShadowModeConfig', ], 'KmsKey' => [ 'shape' => 'KmsKeyId', ], ], ], 'DescribeInferenceRecommendationsJobRequest' => [ 'type' => 'structure', 'required' => [ 'JobName', ], 'members' => [ 'JobName' => [ 'shape' => 'RecommendationJobName', ], ], ], 'DescribeInferenceRecommendationsJobResponse' => [ 'type' => 'structure', 'required' => [ 'JobName', 'JobType', 'JobArn', 'RoleArn', 'Status', 'CreationTime', 'LastModifiedTime', 'InputConfig', ], 'members' => [ 'JobName' => [ 'shape' => 'RecommendationJobName', ], 'JobDescription' => [ 'shape' => 'RecommendationJobDescription', ], 'JobType' => [ 'shape' => 'RecommendationJobType', ], 'JobArn' => [ 'shape' => 'RecommendationJobArn', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'Status' => [ 'shape' => 'RecommendationJobStatus', ], 'CreationTime' => [ 'shape' => 'CreationTime', ], 'CompletionTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'LastModifiedTime', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'InputConfig' => [ 'shape' => 'RecommendationJobInputConfig', ], 'StoppingConditions' => [ 'shape' => 'RecommendationJobStoppingConditions', ], 'InferenceRecommendations' => [ 'shape' => 'InferenceRecommendations', ], 'EndpointPerformances' => [ 'shape' => 'EndpointPerformances', ], ], ], 'DescribeLabelingJobRequest' => [ 'type' => 'structure', 'required' => [ 'LabelingJobName', ], 'members' => [ 'LabelingJobName' => [ 'shape' => 'LabelingJobName', ], ], ], 'DescribeLabelingJobResponse' => [ 'type' => 'structure', 'required' => [ 'LabelingJobStatus', 'LabelCounters', 'CreationTime', 'LastModifiedTime', 'JobReferenceCode', 'LabelingJobName', 'LabelingJobArn', 'InputConfig', 'OutputConfig', 'RoleArn', 'HumanTaskConfig', ], 'members' => [ 'LabelingJobStatus' => [ 'shape' => 'LabelingJobStatus', ], 'LabelCounters' => [ 'shape' => 'LabelCounters', ], 'FailureReason' => [ 'shape' => 'FailureReason', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'JobReferenceCode' => [ 'shape' => 'JobReferenceCode', ], 'LabelingJobName' => [ 'shape' => 'LabelingJobName', ], 'LabelingJobArn' => [ 'shape' => 'LabelingJobArn', ], 'LabelAttributeName' => [ 'shape' => 'LabelAttributeName', ], 'InputConfig' => [ 'shape' => 'LabelingJobInputConfig', ], 'OutputConfig' => [ 'shape' => 'LabelingJobOutputConfig', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'LabelCategoryConfigS3Uri' => [ 'shape' => 'S3Uri', ], 'StoppingConditions' => [ 'shape' => 'LabelingJobStoppingConditions', ], 'LabelingJobAlgorithmsConfig' => [ 'shape' => 'LabelingJobAlgorithmsConfig', ], 'HumanTaskConfig' => [ 'shape' => 'HumanTaskConfig', ], 'Tags' => [ 'shape' => 'TagList', ], 'LabelingJobOutput' => [ 'shape' => 'LabelingJobOutput', ], ], ], 'DescribeLineageGroupRequest' => [ 'type' => 'structure', 'required' => [ 'LineageGroupName', ], 'members' => [ 'LineageGroupName' => [ 'shape' => 'ExperimentEntityName', ], ], ], 'DescribeLineageGroupResponse' => [ 'type' => 'structure', 'members' => [ 'LineageGroupName' => [ 'shape' => 'ExperimentEntityName', ], 'LineageGroupArn' => [ 'shape' => 'LineageGroupArn', ], 'DisplayName' => [ 'shape' => 'ExperimentEntityName', ], 'Description' => [ 'shape' => 'ExperimentDescription', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'CreatedBy' => [ 'shape' => 'UserContext', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedBy' => [ 'shape' => 'UserContext', ], ], ], 'DescribeMlflowTrackingServerRequest' => [ 'type' => 'structure', 'required' => [ 'TrackingServerName', ], 'members' => [ 'TrackingServerName' => [ 'shape' => 'TrackingServerName', ], ], ], 'DescribeMlflowTrackingServerResponse' => [ 'type' => 'structure', 'members' => [ 'TrackingServerArn' => [ 'shape' => 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], 'DescribeModelCardRequest' => [ 'type' => 'structure', 'required' => [ 'ModelCardName', ], 'members' => [ 'ModelCardName' => [ 'shape' => 'ModelCardNameOrArn', ], 'ModelCardVersion' => [ 'shape' => 'Integer', ], ], ], 'DescribeModelCardResponse' => [ 'type' => 'structure', 'required' => [ 'ModelCardArn', 'ModelCardName', 'ModelCardVersion', 'Content', 'ModelCardStatus', 'CreationTime', 'CreatedBy', ], 'members' => [ 'ModelCardArn' => [ 'shape' => 'ModelCardArn', ], 'ModelCardName' => [ 'shape' => 'EntityName', ], 'ModelCardVersion' => [ 'shape' => 'Integer', ], 'Content' => [ 'shape' => 'ModelCardContent', ], 'ModelCardStatus' => [ 'shape' => 'ModelCardStatus', ], 'SecurityConfig' => [ 'shape' => 'ModelCardSecurityConfig', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'CreatedBy' => [ 'shape' => 'UserContext', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedBy' => [ 'shape' => 'UserContext', ], 'ModelCardProcessingStatus' => [ 'shape' => 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'ModelArn' => [ 'shape' => 'ModelArn', ], 'EnableNetworkIsolation' => [ 'shape' => 'Boolean', ], 'DeploymentRecommendation' => [ 'shape' => 'DeploymentRecommendation', ], ], ], 'DescribeModelPackageGroupInput' => [ 'type' => 'structure', 'required' => [ 'ModelPackageGroupName', ], 'members' => [ 'ModelPackageGroupName' => [ 'shape' => 'ArnOrName', ], ], ], 'DescribeModelPackageGroupOutput' => [ 'type' => 'structure', 'required' => [ 'ModelPackageGroupName', 'ModelPackageGroupArn', 'CreationTime', 'CreatedBy', 'ModelPackageGroupStatus', ], 'members' => [ 'ModelPackageGroupName' => [ 'shape' => 'EntityName', ], 'ModelPackageGroupArn' => [ 'shape' => 'ModelPackageGroupArn', ], 'ModelPackageGroupDescription' => [ 'shape' => 'EntityDescription', ], 'CreationTime' => [ 'shape' => 'CreationTime', ], 'CreatedBy' => [ 'shape' => 'UserContext', ], 'ModelPackageGroupStatus' => [ 'shape' => 'ModelPackageGroupStatus', ], ], ], 'DescribeModelPackageInput' => [ 'type' => 'structure', 'required' => [ 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'NetworkInterfaceId' => [ 'shape' => 'NetworkInterfaceId', ], 'LastModifiedTime' => [ 'shape' => 'LastModifiedTime', ], 'CreationTime' => [ 'shape' => 'CreationTime', ], 'NotebookInstanceLifecycleConfigName' => [ 'shape' => 'NotebookInstanceLifecycleConfigName', ], 'DirectInternetAccess' => [ 'shape' => 'DirectInternetAccess', ], 'VolumeSizeInGB' => [ 'shape' => 'NotebookInstanceVolumeSizeInGB', ], 'AcceleratorTypes' => [ 'shape' => 'NotebookInstanceAcceleratorTypes', ], 'DefaultCodeRepository' => [ 'shape' => 'CodeRepositoryNameOrUrl', ], 'AdditionalCodeRepositories' => [ 'shape' => 'AdditionalCodeRepositoryNamesOrUrls', ], 'RootAccess' => [ 'shape' => 'RootAccess', ], 'PlatformIdentifier' => [ 'shape' => 'PlatformIdentifier', ], 'InstanceMetadataServiceConfiguration' => [ 'shape' => 'InstanceMetadataServiceConfiguration', ], ], ], 'DescribeOptimizationJobRequest' => [ 'type' => 'structure', 'required' => [ 'OptimizationJobName', ], 'members' => [ 'OptimizationJobName' => [ 'shape' => 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'Tier' => [ 'shape' => 'NonEmptyString64', ], 'Version' => [ 'shape' => 'NonEmptyString64', ], 'ApplicationConfig' => [ 'shape' => 'PartnerAppConfig', ], 'AuthType' => [ 'shape' => 'PartnerAppAuthType', ], 'EnableIamSessionBasedIdentity' => [ 'shape' => 'Boolean', ], 'Error' => [ 'shape' => 'ErrorInfo', ], ], ], 'DescribePipelineDefinitionForExecutionRequest' => [ 'type' => 'structure', 'required' => [ 'PipelineExecutionArn', ], 'members' => [ 'PipelineExecutionArn' => [ 'shape' => 'PipelineExecutionArn', ], ], ], 'DescribePipelineDefinitionForExecutionResponse' => [ 'type' => 'structure', 'members' => [ 'PipelineDefinition' => [ 'shape' => 'PipelineDefinition', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], ], ], 'DescribePipelineExecutionRequest' => [ 'type' => 'structure', 'required' => [ 'PipelineExecutionArn', ], 'members' => [ 'PipelineExecutionArn' => [ 'shape' => 'PipelineExecutionArn', ], ], ], 'DescribePipelineExecutionResponse' => [ 'type' => 'structure', 'members' => [ 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'DescribePipelineResponse' => [ 'type' => 'structure', 'members' => [ 'PipelineArn' => [ 'shape' => 'PipelineArn', ], 'PipelineName' => [ 'shape' => 'PipelineName', ], 'PipelineDisplayName' => [ 'shape' => 'PipelineName', ], 'PipelineDefinition' => [ 'shape' => 'PipelineDefinition', ], 'PipelineDescription' => [ 'shape' => 'PipelineDescription', ], 'RoleArn' => [ 'shape' => 'RoleArn', ], 'PipelineStatus' => [ 'shape' => 'PipelineStatus', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'LastRunTime' => [ 'shape' => 'Timestamp', ], 'CreatedBy' => [ 'shape' => 'UserContext', ], 'LastModifiedBy' => [ 'shape' => 'UserContext', ], 'ParallelismConfiguration' => [ 'shape' => 'ParallelismConfiguration', ], ], ], 'DescribeProcessingJobRequest' => [ 'type' => 'structure', 'required' => [ 'ProcessingJobName', ], 'members' => [ 'ProcessingJobName' => [ 'shape' => 'ProcessingJobName', ], ], ], 'DescribeProcessingJobResponse' => [ 'type' => 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'ProcessingEndTime' => [ 'shape' => 'Timestamp', ], 'ProcessingStartTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'MonitoringScheduleArn' => [ 'shape' => 'MonitoringScheduleArn', ], 'AutoMLJobArn' => [ 'shape' => 'AutoMLJobArn', ], 'TrainingJobArn' => [ 'shape' => 'TrainingJobArn', ], ], ], 'DescribeProjectInput' => [ 'type' => 'structure', 'required' => [ 'ProjectName', ], 'members' => [ 'ProjectName' => [ 'shape' => 'ProjectEntityName', ], ], ], 'DescribeProjectOutput' => [ 'type' => 'structure', 'required' => [ 'ProjectArn', 'ProjectName', 'ProjectId', 'ServiceCatalogProvisioningDetails', 'ProjectStatus', 'CreationTime', ], 'members' => [ 'ProjectArn' => [ 'shape' => 'ProjectArn', ], 'ProjectName' => [ 'shape' => 'ProjectEntityName', ], 'ProjectId' => [ 'shape' => 'ProjectId', ], 'ProjectDescription' => [ 'shape' => 'EntityDescription', ], 'ServiceCatalogProvisioningDetails' => [ 'shape' => 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'FailureReason' => [ 'shape' => 'FailureReason', ], 'SpaceSettings' => [ 'shape' => 'SpaceSettings', ], 'OwnershipSettings' => [ 'shape' => 'OwnershipSettings', ], 'SpaceSharingSettings' => [ 'shape' => 'SpaceSharingSettings', ], 'SpaceDisplayName' => [ 'shape' => 'NonEmptyString64', ], 'Url' => [ 'shape' => 'String1024', ], ], ], 'DescribeStudioLifecycleConfigRequest' => [ 'type' => 'structure', 'required' => [ 'StudioLifecycleConfigName', ], 'members' => [ 'StudioLifecycleConfigName' => [ 'shape' => 'StudioLifecycleConfigName', ], ], ], 'DescribeStudioLifecycleConfigResponse' => [ 'type' => 'structure', 'members' => [ 'StudioLifecycleConfigArn' => [ 'shape' => 'StudioLifecycleConfigArn', ], 'StudioLifecycleConfigName' => [ 'shape' => 'StudioLifecycleConfigName', ], 'CreationTime' => [ 'shape' => 'Timestamp', ], 'LastModifiedTime' => [ 'shape' => 'Timestamp', ], 'StudioLifecycleConfigContent' => [ 'shape' => 'StudioLifecycleConfigContent', ], 'StudioLifecycleConfigAppType' => [ 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'(Mon|Tue|Wed|Thu|Fri|Sat|Sun):([01]\\d|2[0-3]):([0-5]\\d)', ], 'WeeklyScheduleTimeFormat' => [ 'type' => 'string', 'max' => 9, 'pattern' => '(Mon|Tue|Wed|Thu|Fri|Sat|Sun):([01]\\d|2[0-3]):([0-5]\\d)', ], 'WorkerAccessConfiguration' => [ 'type' => 'structure', 'members' => [ 'S3Presign' => [ 'shape' => 'S3Presign', ], ], ], 'Workforce' => [ 'type' => 'structure', 'required' => [ 'WorkforceName', 'WorkforceArn', ], 'members' => [ 'WorkforceName' => [ 'shape' => 'WorkforceName', ], 'WorkforceArn' => [ 'shape' => 'WorkforceArn', ], 'LastUpdatedDate' => [ 'shape' => 'Timestamp', ], 'SourceIpConfig' => [ 'shape' => 'SourceIpConfig', ], 'SubDomain' => [ 'shape' => 'String', ], 'CognitoConfig' => [ 'shape' => 'CognitoConfig', ], 'OidcConfig' => [ 'shape' => 'OidcConfigForResponse', ], 'CreateDate' => [ 'shape' => 'Timestamp', ], 'WorkforceVpcConfig' => [ 'shape' => 'WorkforceVpcConfigResponse', ], 'Status' => [ 'shape' => 'WorkforceStatus', ], 'FailureReason' => [ 'shape' => 'WorkforceFailureReason', ], ], ], 'WorkforceArn' => [ 'type' => 'string', 'max' => 256, 'pattern' => 'arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:workforce/.*', ], 'WorkforceFailureReason' => [ 'type' => 'string', 'max' => 1024, 'min' => 1, 'pattern' => '.+', ], 'WorkforceName' => [ 'type' => 'string', 'max' => 63, 'min' => 1, 'pattern' => '^[a-zA-Z0-9]([a-zA-Z0-9\\-]){0,62}$', ], 'WorkforceSecurityGroupId' => [ 'type' => 'string', 'max' => 32, 'pattern' => '^sg-[0-9a-z]*$', ], 'WorkforceSecurityGroupIds' => [ 'type' => 'list', 'member' => [ 'shape' => 'WorkforceSecurityGroupId', ], 'max' => 5, 'min' => 1, ], 'WorkforceStatus' => [ 'type' => 'string', 'enum' => [ 'Initializing', 'Updating', 'Deleting', 'Failed', 'Active', ], ], 'WorkforceSubnetId' => [ 'type' => 'string', 'max' => 32, 'pattern' => '^subnet-[0-9a-z]*$', ], 'WorkforceSubnets' => [ 'type' => 'list', 'member' => [ 'shape' => 'WorkforceSubnetId', ], 'max' => 16, 'min' => 1, ], 'WorkforceVpcConfigRequest' => [ 'type' => 'structure', 'members' => [ 'VpcId' => [ 'shape' => 'WorkforceVpcId', ], 'SecurityGroupIds' => [ 'shape' => 'WorkforceSecurityGroupIds', ], 'Subnets' => [ 'shape' => 'WorkforceSubnets', ], ], ], 'WorkforceVpcConfigResponse' => [ 'type' => 'structure', 'required' => [ 'VpcId', 'SecurityGroupIds', 'Subnets', ], 'members' => [ 'VpcId' => [ 'shape' => 'WorkforceVpcId', ], 'SecurityGroupIds' => [ 'shape' => 'WorkforceSecurityGroupIds', ], 'Subnets' => [ 'shape' => 'WorkforceSubnets', ], 'VpcEndpointId' => [ 'shape' => 'WorkforceVpcEndpointId', ], ], ], 'WorkforceVpcEndpointId' => [ 'type' => 'string', 'max' => 255, 'min' => 1, 'pattern' => '^vpce-[0-9a-z]*$', ], 'WorkforceVpcId' => [ 'type' => 'string', 'max' => 32, 'pattern' => '^vpc-[0-9a-z]*$', ], 'Workforces' => [ 'type' => 'list', 'member' => [ 'shape' => 'Workforce', ], ], 'WorkspaceSettings' => [ 'type' => 'structure', 'members' => [ 'S3ArtifactPath' => [ 'shape' => 'S3Uri', ], 'S3KmsKeyId' => [ 'shape' => 'KmsKeyId', ], ], ], 'Workteam' => [ 'type' => 'structure', 'required' => [ 'WorkteamName', 'MemberDefinitions', 'WorkteamArn', 'Description', ], 'members' => [ 'WorkteamName' => [ 'shape' => 'WorkteamName', ], 'MemberDefinitions' => [ 'shape' => 'MemberDefinitions', ], 'WorkteamArn' => [ 'shape' => 'WorkteamArn', ], 'WorkforceArn' => [ 'shape' => 'WorkforceArn', ], 'ProductListingIds' => [ 'shape' => 'ProductListings', ], 'Description' => [ 'shape' => 'String200', ], 'SubDomain' => [ 'shape' => 'String', ], 'CreateDate' => [ 'shape' => 'Timestamp', ], 'LastUpdatedDate' => [ 'shape' => 'Timestamp', ], 'NotificationConfiguration' => [ 'shape' => 'NotificationConfiguration', ], 'WorkerAccessConfiguration' => [ 'shape' => 'WorkerAccessConfiguration', ], ], ], 'WorkteamArn' => [ 'type' => 'string', 'max' => 256, 'pattern' => 'arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:workteam/.*', ], 'WorkteamName' => [ 'type' => 'string', 'max' => 63, 'min' => 1, 'pattern' => '^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}', ], 'Workteams' => [ 'type' => 'list', 'member' => [ 'shape' => 'Workteam', ], ], ],]; diff --git a/src/data/sagemaker/2017-07-24/docs-2.json b/src/data/sagemaker/2017-07-24/docs-2.json index 9c3a31d160..9fff9495f1 100644 --- a/src/data/sagemaker/2017-07-24/docs-2.json +++ b/src/data/sagemaker/2017-07-24/docs-2.json @@ -2383,6 +2383,12 @@ "ClusterNodeDetails$PrivatePrimaryIp": "The private primary IP address of the SageMaker HyperPod cluster node.
" } }, + "ClusterPrivatePrimaryIpv6": { + "base": null, + "refs": { + "ClusterNodeDetails$PrivatePrimaryIpv6": "The private primary IPv6 address of the SageMaker HyperPod cluster node.
" + } + }, "ClusterSchedulerConfigArn": { "base": null, "refs": { @@ -2829,7 +2835,7 @@ "DeployedImage$SpecifiedImage": "The image path you specified when you created the model.
", "DeployedImage$ResolvedImage": "The specific digest path of the image hosted in this ProductionVariant.
The Amazon Elastic Container Registry (Amazon ECR) path where the Docker image for the model is stored.
", - "ModelPackageContainerDefinition$Image": "The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
The Amazon EC2 Container Registry path where inference code is stored.
If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
The Amazon ECR registry path of the Docker image that contains the training algorithm.
" } }, @@ -14412,7 +14418,7 @@ "S3DataType": { "base": null, "refs": { - "S3DataSource$S3DataType": "If you choose S3Prefix, S3Uri identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training.
If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training.
If you choose AugmentedManifestFile, S3Uri identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. AugmentedManifestFile can only be used if the Channel's input mode is Pipe.
If you choose S3Prefix, S3Uri identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training.
If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training.
If you choose AugmentedManifestFile, S3Uri identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. AugmentedManifestFile can only be used if the Channel's input mode is Pipe.
If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for batch transform.
If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for batch transform.
The following values are compatible: ManifestFile, S3Prefix
The following value is not compatible: AugmentedManifestFile
A unique identifier for a specific class of errors.
", "RenderingError$Message": "A human-readable message describing the error.
", "S3ModelDataSource$ETag": "The ETag associated with S3 URI.
", - "S3ModelDataSource$ManifestEtag": "The ETag associated with Manifest S3URI.
", + "S3ModelDataSource$ManifestEtag": "The ETag associated with Manifest S3 URI.
", "ScheduleConfig$DataAnalysisStartTime": "Sets the start time for a monitoring job window. Express this time as an offset to the times that you schedule your monitoring jobs to run. You schedule monitoring jobs with the ScheduleExpression parameter. Specify this offset in ISO 8601 duration format. For example, if you want to monitor the five hours of data in your dataset that precede the start of each monitoring job, you would specify: \"-PT5H\".
The start time that you specify must not precede the end time that you specify by more than 24 hours. You specify the end time with the DataAnalysisEndTime parameter.
If you set ScheduleExpression to NOW, this parameter is required.
Sets the end time for a monitoring job window. Express this time as an offset to the times that you schedule your monitoring jobs to run. You schedule monitoring jobs with the ScheduleExpression parameter. Specify this offset in ISO 8601 duration format. For example, if you want to end the window one hour before the start of each monitoring job, you would specify: \"-PT1H\".
The end time that you specify must not follow the start time that you specify by more than 24 hours. You specify the start time with the DataAnalysisStartTime parameter.
If you set ScheduleExpression to NOW, this parameter is required.
The ETag associated with Model Data URL.
", diff --git a/src/data/sagemaker/2017-07-24/docs-2.json.php b/src/data/sagemaker/2017-07-24/docs-2.json.php index d9d4c8d3b4..39e6085125 100644 --- a/src/data/sagemaker/2017-07-24/docs-2.json.php +++ b/src/data/sagemaker/2017-07-24/docs-2.json.php @@ -1,3 +1,3 @@ '2.0', 'service' => 'Provides APIs for creating and managing SageMaker resources.
Other Resources:
', 'operations' => [ 'AddAssociation' => 'Creates an association between the source and the destination. A source can be associated with multiple destinations, and a destination can be associated with multiple sources. An association is a lineage tracking entity. For more information, see Amazon SageMaker ML Lineage Tracking.
', 'AddTags' => 'Adds or overwrites one or more tags for the specified SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints.
Each tag consists of a key and an optional value. Tag keys must be unique per resource. For more information about tags, see For more information, see Amazon Web Services Tagging Strategies.
Tags that you add to a hyperparameter tuning job by calling this API are also added to any training jobs that the hyperparameter tuning job launches after you call this API, but not to training jobs that the hyperparameter tuning job launched before you called this API. To make sure that the tags associated with a hyperparameter tuning job are also added to all training jobs that the hyperparameter tuning job launches, add the tags when you first create the tuning job by specifying them in the Tags parameter of CreateHyperParameterTuningJob
Tags that you add to a SageMaker Domain or User Profile by calling this API are also added to any Apps that the Domain or User Profile launches after you call this API, but not to Apps that the Domain or User Profile launched before you called this API. To make sure that the tags associated with a Domain or User Profile are also added to all Apps that the Domain or User Profile launches, add the tags when you first create the Domain or User Profile by specifying them in the Tags parameter of CreateDomain or CreateUserProfile.
Associates a trial component with a trial. A trial component can be associated with multiple trials. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
', 'BatchDeleteClusterNodes' => 'Deletes specific nodes within a SageMaker HyperPod cluster. BatchDeleteClusterNodes accepts a cluster name and a list of node IDs.
To safeguard your work, back up your data to Amazon S3 or an FSx for Lustre file system before invoking the API on a worker node group. This will help prevent any potential data loss from the instance root volume. For more information about backup, see Use the backup script provided by SageMaker HyperPod.
If you want to invoke this API on an existing cluster, you\'ll first need to patch the cluster by running the UpdateClusterSoftware API. For more information about patching a cluster, see Update the SageMaker HyperPod platform software of a cluster.
This action batch describes a list of versioned model packages
', 'CreateAction' => 'Creates an action. An action is a lineage tracking entity that represents an action or activity. For example, a model deployment or an HPO job. Generally, an action involves at least one input or output artifact. For more information, see Amazon SageMaker ML Lineage Tracking.
', 'CreateAlgorithm' => 'Create a machine learning algorithm that you can use in SageMaker and list in the Amazon Web Services Marketplace.
', 'CreateApp' => 'Creates a running app for the specified UserProfile. This operation is automatically invoked by Amazon SageMaker AI upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously.
', 'CreateAppImageConfig' => 'Creates a configuration for running a SageMaker AI image as a KernelGateway app. The configuration specifies the Amazon Elastic File System storage volume on the image, and a list of the kernels in the image.
', 'CreateArtifact' => 'Creates an artifact. An artifact is a lineage tracking entity that represents a URI addressable object or data. Some examples are the S3 URI of a dataset and the ECR registry path of an image. For more information, see Amazon SageMaker ML Lineage Tracking.
', 'CreateAutoMLJob' => 'Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.
An AutoML job in SageMaker AI is a fully automated process that allows you to build machine learning models with minimal effort and machine learning expertise. When initiating an AutoML job, you provide your data and optionally specify parameters tailored to your use case. SageMaker AI then automates the entire model development lifecycle, including data preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify and accelerate the model building process by automating various tasks and exploring different combinations of machine learning algorithms, data preprocessing techniques, and hyperparameter values. The output of an AutoML job comprises one or more trained models ready for deployment and inference. Additionally, SageMaker AI AutoML jobs generate a candidate model leaderboard, allowing you to select the best-performing model for deployment.
For more information about AutoML jobs, see https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html in the SageMaker AI developer guide.
We recommend using the new versions CreateAutoMLJobV2 and DescribeAutoMLJobV2, which offer backward compatibility.
CreateAutoMLJobV2 can manage tabular problem types identical to those of its previous version CreateAutoMLJob, as well as time-series forecasting, non-tabular problem types such as image or text classification, and text generation (LLMs fine-tuning).
Find guidelines about how to migrate a CreateAutoMLJob to CreateAutoMLJobV2 in Migrate a CreateAutoMLJob to CreateAutoMLJobV2.
You can find the best-performing model after you run an AutoML job by calling DescribeAutoMLJobV2 (recommended) or DescribeAutoMLJob.
', 'CreateAutoMLJobV2' => 'Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.
An AutoML job in SageMaker AI is a fully automated process that allows you to build machine learning models with minimal effort and machine learning expertise. When initiating an AutoML job, you provide your data and optionally specify parameters tailored to your use case. SageMaker AI then automates the entire model development lifecycle, including data preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify and accelerate the model building process by automating various tasks and exploring different combinations of machine learning algorithms, data preprocessing techniques, and hyperparameter values. The output of an AutoML job comprises one or more trained models ready for deployment and inference. Additionally, SageMaker AI AutoML jobs generate a candidate model leaderboard, allowing you to select the best-performing model for deployment.
For more information about AutoML jobs, see https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html in the SageMaker AI developer guide.
AutoML jobs V2 support various problem types such as regression, binary, and multiclass classification with tabular data, text and image classification, time-series forecasting, and fine-tuning of large language models (LLMs) for text generation.
CreateAutoMLJobV2 and DescribeAutoMLJobV2 are new versions of CreateAutoMLJob and DescribeAutoMLJob which offer backward compatibility.
CreateAutoMLJobV2 can manage tabular problem types identical to those of its previous version CreateAutoMLJob, as well as time-series forecasting, non-tabular problem types such as image or text classification, and text generation (LLMs fine-tuning).
Find guidelines about how to migrate a CreateAutoMLJob to CreateAutoMLJobV2 in Migrate a CreateAutoMLJob to CreateAutoMLJobV2.
For the list of available problem types supported by CreateAutoMLJobV2, see AutoMLProblemTypeConfig.
You can find the best-performing model after you run an AutoML job V2 by calling DescribeAutoMLJobV2.
', 'CreateCluster' => 'Creates a SageMaker HyperPod cluster. SageMaker HyperPod is a capability of SageMaker for creating and managing persistent clusters for developing large machine learning models, such as large language models (LLMs) and diffusion models. To learn more, see Amazon SageMaker HyperPod in the Amazon SageMaker Developer Guide.
', 'CreateClusterSchedulerConfig' => 'Create cluster policy configuration. This policy is used for task prioritization and fair-share allocation of idle compute. This helps prioritize critical workloads and distributes idle compute across entities.
', 'CreateCodeRepository' => 'Creates a Git repository as a resource in your SageMaker AI account. You can associate the repository with notebook instances so that you can use Git source control for the notebooks you create. The Git repository is a resource in your SageMaker AI account, so it can be associated with more than one notebook instance, and it persists independently from the lifecycle of any notebook instances it is associated with.
The repository can be hosted either in Amazon Web Services CodeCommit or in any other Git repository.
', 'CreateCompilationJob' => 'Starts a model compilation job. After the model has been compiled, Amazon SageMaker AI saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.
If you choose to host your model using Amazon SageMaker AI hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with Amazon Web Services IoT Greengrass. In that case, deploy them as an ML resource.
In the request body, you provide the following:
A name for the compilation job
Information about the input model artifacts
The output location for the compiled model and the device (target) that the model runs on
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker AI assumes to perform the model compilation job.
You can also provide a Tag to track the model compilation job\'s resource use and costs. The response body contains the CompilationJobArn for the compiled job.
To stop a model compilation job, use StopCompilationJob. To get information about a particular model compilation job, use DescribeCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
', 'CreateComputeQuota' => 'Create compute allocation definition. This defines how compute is allocated, shared, and borrowed for specified entities. Specifically, how to lend and borrow idle compute and assign a fair-share weight to the specified entities.
', 'CreateContext' => 'Creates a context. A context is a lineage tracking entity that represents a logical grouping of other tracking or experiment entities. Some examples are an endpoint and a model package. For more information, see Amazon SageMaker ML Lineage Tracking.
', 'CreateDataQualityJobDefinition' => 'Creates a definition for a job that monitors data quality and drift. For information about model monitor, see Amazon SageMaker AI Model Monitor.
', 'CreateDeviceFleet' => 'Creates a device fleet.
', 'CreateDomain' => 'Creates a Domain. A domain consists of an associated Amazon Elastic File System volume, a list of authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud (VPC) configurations. Users within a domain can share notebook files and other artifacts with each other.
EFS storage
When a domain is created, an EFS volume is created for use by all of the users within the domain. Each user receives a private home directory within the EFS volume for notebooks, Git repositories, and data files.
SageMaker AI uses the Amazon Web Services Key Management Service (Amazon Web Services KMS) to encrypt the EFS volume attached to the domain with an Amazon Web Services managed key by default. For more control, you can specify a customer managed key. For more information, see Protect Data at Rest Using Encryption.
VPC configuration
All traffic between the domain and the Amazon EFS volume is through the specified VPC and subnets. For other traffic, you can specify the AppNetworkAccessType parameter. AppNetworkAccessType corresponds to the network access type that you choose when you onboard to the domain. The following options are available:
PublicInternetOnly - Non-EFS traffic goes through a VPC managed by Amazon SageMaker AI, which allows internet access. This is the default value.
VpcOnly - All traffic is through the specified VPC and subnets. Internet access is disabled by default. To allow internet access, you must specify a NAT gateway.
When internet access is disabled, you won\'t be able to run a Amazon SageMaker AI Studio notebook or to train or host models unless your VPC has an interface endpoint to the SageMaker AI API and runtime or a NAT gateway and your security groups allow outbound connections.
NFS traffic over TCP on port 2049 needs to be allowed in both inbound and outbound rules in order to launch a Amazon SageMaker AI Studio app successfully.
For more information, see Connect Amazon SageMaker AI Studio Notebooks to Resources in a VPC.
', 'CreateEdgeDeploymentPlan' => 'Creates an edge deployment plan, consisting of multiple stages. Each stage may have a different deployment configuration and devices.
', 'CreateEdgeDeploymentStage' => 'Creates a new stage in an existing edge deployment plan.
', 'CreateEdgePackagingJob' => 'Starts a SageMaker Edge Manager model packaging job. Edge Manager will use the model artifacts from the Amazon Simple Storage Service bucket that you specify. After the model has been packaged, Amazon SageMaker saves the resulting artifacts to an S3 bucket that you specify.
', 'CreateEndpoint' => 'Creates an endpoint using the endpoint configuration specified in the request. SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API.
Use this API to deploy models using SageMaker hosting services.
You must not delete an EndpointConfig that is in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig.
The endpoint name must be unique within an Amazon Web Services Region in your Amazon Web Services account.
When it receives the request, SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them.
When you call CreateEndpoint, a load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a DynamoDB table supporting Eventually Consistent Reads , the response might not reflect the results of a recently completed write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB, this causes a validation error. If you repeat your read request after a short time, the response should return the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers call DescribeEndpointConfig before calling CreateEndpoint to minimize the potential impact of a DynamoDB eventually consistent read.
When SageMaker receives the request, it sets the endpoint status to Creating. After it creates the endpoint, it sets the status to InService. SageMaker can then process incoming requests for inferences. To check the status of an endpoint, use the DescribeEndpoint API.
If any of the models hosted at this endpoint get model data from an Amazon S3 location, SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provided. Amazon Web Services STS is activated in your Amazon Web Services account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.
To add the IAM role policies for using this API operation, go to the IAM console, and choose Roles in the left navigation pane. Search the IAM role that you want to grant access to use the CreateEndpoint and CreateEndpointConfig API operations, add the following policies to the role.
Option 1: For a full SageMaker access, search and attach the AmazonSageMakerFullAccess policy.
Option 2: For granting a limited access to an IAM role, paste the following Action elements manually into the JSON file of the IAM role:
"Action": ["sagemaker:CreateEndpoint", "sagemaker:CreateEndpointConfig"]
"Resource": [
"arn:aws:sagemaker:region:account-id:endpoint/endpointName"
"arn:aws:sagemaker:region:account-id:endpoint-config/endpointConfigName"
]
For more information, see SageMaker API Permissions: Actions, Permissions, and Resources Reference.
Creates an endpoint configuration that SageMaker hosting services uses to deploy models. In the configuration, you identify one or more models, created using the CreateModel API, to deploy and the resources that you want SageMaker to provision. Then you call the CreateEndpoint API.
Use this API if you want to use SageMaker hosting services to deploy models into production.
In the request, you define a ProductionVariant, for each model that you want to deploy. Each ProductionVariant parameter also describes the resources that you want SageMaker to provision. This includes the number and type of ML compute instances to deploy.
If you are hosting multiple models, you also assign a VariantWeight to specify how much traffic you want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign traffic weight 2 for model A and 1 for model B. SageMaker distributes two-thirds of the traffic to Model A, and one-third to model B.
When you call CreateEndpoint, a load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a DynamoDB table supporting Eventually Consistent Reads , the response might not reflect the results of a recently completed write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB, this causes a validation error. If you repeat your read request after a short time, the response should return the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers call DescribeEndpointConfig before calling CreateEndpoint to minimize the potential impact of a DynamoDB eventually consistent read.
Creates a SageMaker experiment. An experiment is a collection of trials that are observed, compared and evaluated as a group. A trial is a set of steps, called trial components, that produce a machine learning model.
In the Studio UI, trials are referred to as run groups and trial components are referred to as runs.
The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant.
When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to experiments, trials, trial components and then use the Search API to search for the tags.
To add a description to an experiment, specify the optional Description parameter. To add a description later, or to change the description, call the UpdateExperiment API.
To get a list of all your experiments, call the ListExperiments API. To view an experiment\'s properties, call the DescribeExperiment API. To get a list of all the trials associated with an experiment, call the ListTrials API. To create a trial call the CreateTrial API.
', 'CreateFeatureGroup' => 'Create a new FeatureGroup. A FeatureGroup is a group of Features defined in the FeatureStore to describe a Record.
The FeatureGroup defines the schema and features contained in the FeatureGroup. A FeatureGroup definition is composed of a list of Features, a RecordIdentifierFeatureName, an EventTimeFeatureName and configurations for its OnlineStore and OfflineStore. Check Amazon Web Services service quotas to see the FeatureGroups quota for your Amazon Web Services account.
Note that it can take approximately 10-15 minutes to provision an OnlineStore FeatureGroup with the InMemory StorageType.
You must include at least one of OnlineStoreConfig and OfflineStoreConfig to create a FeatureGroup.
Creates a flow definition.
', 'CreateHub' => 'Create a hub.
', 'CreateHubContentReference' => 'Create a hub content reference in order to add a model in the JumpStart public hub to a private hub.
', 'CreateHumanTaskUi' => 'Defines the settings you will use for the human review workflow user interface. Reviewers will see a three-panel interface with an instruction area, the item to review, and an input area.
', 'CreateHyperParameterTuningJob' => 'Starts a hyperparameter tuning job. A hyperparameter tuning job finds the best version of a model by running many training jobs on your dataset using the algorithm you choose and values for hyperparameters within ranges that you specify. It then chooses the hyperparameter values that result in a model that performs the best, as measured by an objective metric that you choose.
A hyperparameter tuning job automatically creates Amazon SageMaker experiments, trials, and trial components for each training job that it runs. You can view these entities in Amazon SageMaker Studio. For more information, see View Experiments, Trials, and Trial Components.
Do not include any security-sensitive information including account access IDs, secrets or tokens in any hyperparameter field. If the use of security-sensitive credentials are detected, SageMaker will reject your training job request and return an exception error.
Creates a custom SageMaker AI image. A SageMaker AI image is a set of image versions. Each image version represents a container image stored in Amazon ECR. For more information, see Bring your own SageMaker AI image.
', 'CreateImageVersion' => 'Creates a version of the SageMaker AI image specified by ImageName. The version represents the Amazon ECR container image specified by BaseImage.
Creates an inference component, which is a SageMaker AI hosting object that you can use to deploy a model to an endpoint. In the inference component settings, you specify the model, the endpoint, and how the model utilizes the resources that the endpoint hosts. You can optimize resource utilization by tailoring how the required CPU cores, accelerators, and memory are allocated. You can deploy multiple inference components to an endpoint, where each inference component contains one model and the resource utilization needs for that individual model. After you deploy an inference component, you can directly invoke the associated model when you use the InvokeEndpoint API action.
', 'CreateInferenceExperiment' => 'Creates an inference experiment using the configurations specified in the request.
Use this API to setup and schedule an experiment to compare model variants on a Amazon SageMaker inference endpoint. For more information about inference experiments, see Shadow tests.
Amazon SageMaker begins your experiment at the scheduled time and routes traffic to your endpoint\'s model variants based on your specified configuration.
While the experiment is in progress or after it has concluded, you can view metrics that compare your model variants. For more information, see View, monitor, and edit shadow tests.
', 'CreateInferenceRecommendationsJob' => 'Starts a recommendation job. You can create either an instance recommendation or load test job.
', 'CreateLabelingJob' => 'Creates a job that uses workers to label the data objects in your input dataset. You can use the labeled data to train machine learning models.
You can select your workforce from one of three providers:
A private workforce that you create. It can include employees, contractors, and outside experts. Use a private workforce when want the data to stay within your organization or when a specific set of skills is required.
One or more vendors that you select from the Amazon Web Services Marketplace. Vendors provide expertise in specific areas.
The Amazon Mechanical Turk workforce. This is the largest workforce, but it should only be used for public data or data that has been stripped of any personally identifiable information.
You can also use automated data labeling to reduce the number of data objects that need to be labeled by a human. Automated data labeling uses active learning to determine if a data object can be labeled by machine or if it needs to be sent to a human worker. For more information, see Using Automated Data Labeling.
The data objects to be labeled are contained in an Amazon S3 bucket. You create a manifest file that describes the location of each object. For more information, see Using Input and Output Data.
The output can be used as the manifest file for another labeling job or as training data for your machine learning models.
You can use this operation to create a static labeling job or a streaming labeling job. A static labeling job stops if all data objects in the input manifest file identified in ManifestS3Uri have been labeled. A streaming labeling job runs perpetually until it is manually stopped, or remains idle for 10 days. You can send new data objects to an active (InProgress) streaming labeling job in real time. To learn how to create a static labeling job, see Create a Labeling Job (API) in the Amazon SageMaker Developer Guide. To learn how to create a streaming labeling job, see Create a Streaming Labeling Job.
Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store. For more information, see Create an MLflow Tracking Server.
', 'CreateModel' => 'Creates a model in SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image that contains inference code, artifacts (from prior training), and a custom environment map that the inference code uses when you deploy the model for predictions.
Use this API to create a model if you want to use SageMaker hosting services or run a batch transform job.
To host your model, you create an endpoint configuration with the CreateEndpointConfig API, and then create an endpoint with the CreateEndpoint API. SageMaker then deploys all of the containers that you defined for the model in the hosting environment.
To run a batch transform using your model, you start a job with the CreateTransformJob API. SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.
In the request, you also provide an IAM role that SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other Amazon Web Services resources, you grant necessary permissions via this role.
', 'CreateModelBiasJobDefinition' => 'Creates the definition for a model bias job.
', 'CreateModelCard' => 'Creates an Amazon SageMaker Model Card.
For information about how to use model cards, see Amazon SageMaker Model Card.
', 'CreateModelCardExportJob' => 'Creates an Amazon SageMaker Model Card export job.
', 'CreateModelExplainabilityJobDefinition' => 'Creates the definition for a model explainability job.
', 'CreateModelPackage' => 'Creates a model package that you can use to create SageMaker models or list on Amazon Web Services Marketplace, or a versioned model that is part of a model group. Buyers can subscribe to model packages listed on Amazon Web Services Marketplace to create models in SageMaker.
To create a model package by specifying a Docker container that contains your inference code and the Amazon S3 location of your model artifacts, provide values for InferenceSpecification. To create a model from an algorithm resource that you created or subscribed to in Amazon Web Services Marketplace, provide a value for SourceAlgorithmSpecification.
There are two types of model packages:
Versioned - a model that is part of a model group in the model registry.
Unversioned - a model package that is not part of a model group.
Creates a model group. A model group contains a group of model versions.
', 'CreateModelQualityJobDefinition' => 'Creates a definition for a job that monitors model quality and drift. For information about model monitor, see Amazon SageMaker AI Model Monitor.
', 'CreateMonitoringSchedule' => 'Creates a schedule that regularly starts Amazon SageMaker AI Processing Jobs to monitor the data captured for an Amazon SageMaker AI Endpoint.
', 'CreateNotebookInstance' => 'Creates an SageMaker AI notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook.
In a CreateNotebookInstance request, specify the type of ML compute instance that you want to run. SageMaker AI launches the instance, installs common libraries that you can use to explore datasets for model training, and attaches an ML storage volume to the notebook instance.
SageMaker AI also provides a set of example notebooks. Each notebook demonstrates how to use SageMaker AI with a specific algorithm or with a machine learning framework.
After receiving the request, SageMaker AI does the following:
Creates a network interface in the SageMaker AI VPC.
(Option) If you specified SubnetId, SageMaker AI creates a network interface in your own VPC, which is inferred from the subnet ID that you provide in the input. When creating this network interface, SageMaker AI attaches the security group that you specified in the request to the network interface that it creates in your VPC.
Launches an EC2 instance of the type specified in the request in the SageMaker AI VPC. If you specified SubnetId of your VPC, SageMaker AI specifies both network interfaces when launching this instance. This enables inbound traffic from your own VPC to the notebook instance, assuming that the security groups allow it.
After creating the notebook instance, SageMaker AI returns its Amazon Resource Name (ARN). You can\'t change the name of a notebook instance after you create it.
After SageMaker AI creates the notebook instance, you can connect to the Jupyter server and work in Jupyter notebooks. For example, you can write code to explore a dataset that you can use for model training, train a model, host models by creating SageMaker AI endpoints, and validate hosted models.
For more information, see How It Works.
', 'CreateNotebookInstanceLifecycleConfig' => 'Creates a lifecycle configuration that you can associate with a notebook instance. A lifecycle configuration is a collection of shell scripts that run when you create or start a notebook instance.
Each lifecycle configuration script has a limit of 16384 characters.
The value of the $PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.
View Amazon CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances in log stream [notebook-instance-name]/[LifecycleConfigHook].
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
', 'CreateOptimizationJob' => 'Creates a job that optimizes a model for inference performance. To create the job, you provide the location of a source model, and you provide the settings for the optimization techniques that you want the job to apply. When the job completes successfully, SageMaker uploads the new optimized model to the output destination that you specify.
For more information about how to use this action, and about the supported optimization techniques, see Optimize model inference with Amazon SageMaker.
', 'CreatePartnerApp' => 'Creates an Amazon SageMaker Partner AI App.
', 'CreatePartnerAppPresignedUrl' => 'Creates a presigned URL to access an Amazon SageMaker Partner AI App.
', 'CreatePipeline' => 'Creates a pipeline using a JSON pipeline definition.
', 'CreatePresignedDomainUrl' => 'Creates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the user will be automatically signed in to the domain, and granted access to all of the Apps and files associated with the Domain\'s Amazon Elastic File System volume. This operation can only be called when the authentication mode equals IAM.
The IAM role or user passed to this API defines the permissions to access the app. Once the presigned URL is created, no additional permission is required to access this URL. IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the app.
You can restrict access to this API and to the URL that it returns to a list of IP addresses, Amazon VPCs or Amazon VPC Endpoints that you specify. For more information, see Connect to Amazon SageMaker AI Studio Through an Interface VPC Endpoint .
The URL that you get from a call to CreatePresignedDomainUrl has a default timeout of 5 minutes. You can configure this value using ExpiresInSeconds. If you try to use the URL after the timeout limit expires, you are directed to the Amazon Web Services console sign-in page.
The JupyterLab session default expiration time is 12 hours. You can configure this value using SessionExpirationDurationInSeconds.
Returns a presigned URL that you can use to connect to the MLflow UI attached to your tracking server. For more information, see Launch the MLflow UI using a presigned URL.
', 'CreatePresignedNotebookInstanceUrl' => 'Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the SageMaker AI console, when you choose Open next to a notebook instance, SageMaker AI opens a new tab showing the Jupyter server home page from the notebook instance. The console uses this API to get the URL and show the page.
The IAM role or user used to call this API defines the permissions to access the notebook instance. Once the presigned URL is created, no additional permission is required to access this URL. IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the notebook instance.
You can restrict access to this API and to the URL that it returns to a list of IP addresses that you specify. Use the NotIpAddress condition operator and the aws:SourceIP condition context key to specify the list of IP addresses that you want to have access to the notebook instance. For more information, see Limit Access to a Notebook Instance by IP Address.
The URL that you get from a call to CreatePresignedNotebookInstanceUrl is valid only for 5 minutes. If you try to use the URL after the 5-minute limit expires, you are directed to the Amazon Web Services console sign-in page.
Creates a processing job.
', 'CreateProject' => 'Creates a machine learning (ML) project that can contain one or more templates that set up an ML pipeline from training to deploying an approved model.
', 'CreateSpace' => 'Creates a private space or a space used for real time collaboration in a domain.
', 'CreateStudioLifecycleConfig' => 'Creates a new Amazon SageMaker AI Studio Lifecycle Configuration.
', 'CreateTrainingJob' => 'Starts a model training job. After training completes, SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.
If you choose to host your model using SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than SageMaker, provided that you know how to use them for inference.
In the request body, you provide the following:
AlgorithmSpecification - Identifies the training algorithm to use.
HyperParameters - Specify these algorithm-specific parameters to enable the estimation of model parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of hyperparameters for each training algorithm provided by SageMaker, see Algorithms.
Do not include any security-sensitive information including account access IDs, secrets or tokens in any hyperparameter field. If the use of security-sensitive credentials are detected, SageMaker will reject your training job request and return an exception error.
InputDataConfig - Describes the input required by the training job and the Amazon S3, EFS, or FSx location where it is stored.
OutputDataConfig - Identifies the Amazon S3 bucket where you want SageMaker to save the results of model training.
ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance.
EnableManagedSpotTraining - Optimize the cost of training machine learning models by up to 80% by using Amazon EC2 Spot instances. For more information, see Managed Spot Training.
RoleArn - The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that SageMaker can successfully complete model training.
StoppingCondition - To help cap training costs, use MaxRuntimeInSeconds to set a time limit for training. Use MaxWaitTimeInSeconds to specify how long a managed spot training job has to complete.
Environment - The environment variables to set in the Docker container.
RetryStrategy - The number of times to retry the job when the job fails due to an InternalServerError.
For more information about SageMaker, see How It Works.
', 'CreateTrainingPlan' => 'Creates a new training plan in SageMaker to reserve compute capacity.
Amazon SageMaker Training Plan is a capability within SageMaker that allows customers to reserve and manage GPU capacity for large-scale AI model training. It provides a way to secure predictable access to computational resources within specific timelines and budgets, without the need to manage underlying infrastructure.
How it works
Plans can be created for specific resources such as SageMaker Training Jobs or SageMaker HyperPod clusters, automatically provisioning resources, setting up infrastructure, executing workloads, and handling infrastructure failures.
Plan creation workflow
Users search for available plan offerings based on their requirements (e.g., instance type, count, start time, duration) using the SearchTrainingPlanOfferings API operation.
They create a plan that best matches their needs using the ID of the plan offering they want to use.
After successful upfront payment, the plan\'s status becomes Scheduled.
The plan can be used to:
Queue training jobs.
Allocate to an instance group of a SageMaker HyperPod cluster.
When the plan start date arrives, it becomes Active. Based on available reserved capacity:
Training jobs are launched.
Instance groups are provisioned.
Plan composition
A plan can consist of one or more Reserved Capacities, each defined by a specific instance type, quantity, Availability Zone, duration, and start and end times. For more information about Reserved Capacity, see ReservedCapacitySummary .
Starts a transform job. A transform job uses a trained model to get inferences on a dataset and saves these results to an Amazon S3 location that you specify.
To perform batch transformations, you create a transform job and use the data that you have readily available.
In the request body, you provide the following:
TransformJobName - Identifies the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.
ModelName - Identifies the model to use. ModelName must be the name of an existing Amazon SageMaker model in the same Amazon Web Services Region and Amazon Web Services account. For information on creating a model, see CreateModel.
TransformInput - Describes the dataset to be transformed and the Amazon S3 location where it is stored.
TransformOutput - Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
TransformResources - Identifies the ML compute instances for the transform job.
For more information about how batch transformation works, see Batch Transform.
', 'CreateTrial' => 'Creates an SageMaker trial. A trial is a set of steps called trial components that produce a machine learning model. A trial is part of a single SageMaker experiment.
When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to a trial and then use the Search API to search for the tags.
To get a list of all your trials, call the ListTrials API. To view a trial\'s properties, call the DescribeTrial API. To create a trial component, call the CreateTrialComponent API.
', 'CreateTrialComponent' => 'Creates a trial component, which is a stage of a machine learning trial. A trial is composed of one or more trial components. A trial component can be used in multiple trials.
Trial components include pre-processing jobs, training jobs, and batch transform jobs.
When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to a trial component and then use the Search API to search for the tags.
', 'CreateUserProfile' => 'Creates a user profile. A user profile represents a single user within a domain, and is the main way to reference a "person" for the purposes of sharing, reporting, and other user-oriented features. This entity is created when a user onboards to a domain. If an administrator invites a person by email or imports them from IAM Identity Center, a user profile is automatically created. A user profile is the primary holder of settings for an individual user and has a reference to the user\'s private Amazon Elastic File System home directory.
', 'CreateWorkforce' => 'Use this operation to create a workforce. This operation will return an error if a workforce already exists in the Amazon Web Services Region that you specify. You can only create one workforce in each Amazon Web Services Region per Amazon Web Services account.
If you want to create a new workforce in an Amazon Web Services Region where a workforce already exists, use the DeleteWorkforce API operation to delete the existing workforce and then use CreateWorkforce to create a new workforce.
To create a private workforce using Amazon Cognito, you must specify a Cognito user pool in CognitoConfig. You can also create an Amazon Cognito workforce using the Amazon SageMaker console. For more information, see Create a Private Workforce (Amazon Cognito).
To create a private workforce using your own OIDC Identity Provider (IdP), specify your IdP configuration in OidcConfig. Your OIDC IdP must support groups because groups are used by Ground Truth and Amazon A2I to create work teams. For more information, see Create a Private Workforce (OIDC IdP).
Creates a new work team for labeling your data. A work team is defined by one or more Amazon Cognito user pools. You must first create the user pools before you can create a work team.
You cannot create more than 25 work teams in an account and region.
', 'DeleteAction' => 'Deletes an action.
', 'DeleteAlgorithm' => 'Removes the specified algorithm from your account.
', 'DeleteApp' => 'Used to stop and delete an app.
', 'DeleteAppImageConfig' => 'Deletes an AppImageConfig.
', 'DeleteArtifact' => 'Deletes an artifact. Either ArtifactArn or Source must be specified.
Deletes an association.
', 'DeleteCluster' => 'Delete a SageMaker HyperPod cluster.
', 'DeleteClusterSchedulerConfig' => 'Deletes the cluster policy of the cluster.
', 'DeleteCodeRepository' => 'Deletes the specified Git repository from your account.
', 'DeleteCompilationJob' => 'Deletes the specified compilation job. This action deletes only the compilation job resource in Amazon SageMaker AI. It doesn\'t delete other resources that are related to that job, such as the model artifacts that the job creates, the compilation logs in CloudWatch, the compiled model, or the IAM role.
You can delete a compilation job only if its current status is COMPLETED, FAILED, or STOPPED. If the job status is STARTING or INPROGRESS, stop the job, and then delete it after its status becomes STOPPED.
Deletes the compute allocation from the cluster.
', 'DeleteContext' => 'Deletes an context.
', 'DeleteDataQualityJobDefinition' => 'Deletes a data quality monitoring job definition.
', 'DeleteDeviceFleet' => 'Deletes a fleet.
', 'DeleteDomain' => 'Used to delete a domain. If you onboarded with IAM mode, you will need to delete your domain to onboard again using IAM Identity Center. Use with caution. All of the members of the domain will lose access to their EFS volume, including data, notebooks, and other artifacts.
', 'DeleteEdgeDeploymentPlan' => 'Deletes an edge deployment plan if (and only if) all the stages in the plan are inactive or there are no stages in the plan.
', 'DeleteEdgeDeploymentStage' => 'Delete a stage in an edge deployment plan if (and only if) the stage is inactive.
', 'DeleteEndpoint' => 'Deletes an endpoint. SageMaker frees up all of the resources that were deployed when the endpoint was created.
SageMaker retires any custom KMS key grants associated with the endpoint, meaning you don\'t need to use the RevokeGrant API call.
When you delete your endpoint, SageMaker asynchronously deletes associated endpoint resources such as KMS key grants. You might still see these resources in your account for a few minutes after deleting your endpoint. Do not delete or revoke the permissions for your ExecutionRoleArn , otherwise SageMaker cannot delete these resources.
Deletes an endpoint configuration. The DeleteEndpointConfig API deletes only the specified configuration. It does not delete endpoints created using the configuration.
You must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. If you delete the EndpointConfig of an endpoint that is active or being created or updated you may lose visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop incurring charges.
Deletes an SageMaker experiment. All trials associated with the experiment must be deleted first. Use the ListTrials API to get a list of the trials associated with the experiment.
', 'DeleteFeatureGroup' => 'Delete the FeatureGroup and any data that was written to the OnlineStore of the FeatureGroup. Data cannot be accessed from the OnlineStore immediately after DeleteFeatureGroup is called.
Data written into the OfflineStore will not be deleted. The Amazon Web Services Glue database and tables that are automatically created for your OfflineStore are not deleted.
Note that it can take approximately 10-15 minutes to delete an OnlineStore FeatureGroup with the InMemory StorageType.
Deletes the specified flow definition.
', 'DeleteHub' => 'Delete a hub.
', 'DeleteHubContent' => 'Delete the contents of a hub.
', 'DeleteHubContentReference' => 'Delete a hub content reference in order to remove a model from a private hub.
', 'DeleteHumanTaskUi' => 'Use this operation to delete a human task user interface (worker task template).
To see a list of human task user interfaces (work task templates) in your account, use ListHumanTaskUis. When you delete a worker task template, it no longer appears when you call ListHumanTaskUis.
Deletes a hyperparameter tuning job. The DeleteHyperParameterTuningJob API deletes only the tuning job entry that was created in SageMaker when you called the CreateHyperParameterTuningJob API. It does not delete training jobs, artifacts, or the IAM role that you specified when creating the model.
Deletes a SageMaker AI image and all versions of the image. The container images aren\'t deleted.
', 'DeleteImageVersion' => 'Deletes a version of a SageMaker AI image. The container image the version represents isn\'t deleted.
', 'DeleteInferenceComponent' => 'Deletes an inference component.
', 'DeleteInferenceExperiment' => 'Deletes an inference experiment.
This operation does not delete your endpoint, variants, or any underlying resources. This operation only deletes the metadata of your experiment.
Deletes an MLflow Tracking Server. For more information, see Clean up MLflow resources.
', 'DeleteModel' => 'Deletes a model. The DeleteModel API deletes only the model entry that was created in SageMaker when you called the CreateModel API. It does not delete model artifacts, inference code, or the IAM role that you specified when creating the model.
Deletes an Amazon SageMaker AI model bias job definition.
', 'DeleteModelCard' => 'Deletes an Amazon SageMaker Model Card.
', 'DeleteModelExplainabilityJobDefinition' => 'Deletes an Amazon SageMaker AI model explainability job definition.
', 'DeleteModelPackage' => 'Deletes a model package.
A model package is used to create SageMaker models or list on Amazon Web Services Marketplace. Buyers can subscribe to model packages listed on Amazon Web Services Marketplace to create models in SageMaker.
', 'DeleteModelPackageGroup' => 'Deletes the specified model group.
', 'DeleteModelPackageGroupPolicy' => 'Deletes a model group resource policy.
', 'DeleteModelQualityJobDefinition' => 'Deletes the secified model quality monitoring job definition.
', 'DeleteMonitoringSchedule' => 'Deletes a monitoring schedule. Also stops the schedule had not already been stopped. This does not delete the job execution history of the monitoring schedule.
', 'DeleteNotebookInstance' => ' Deletes an SageMaker AI notebook instance. Before you can delete a notebook instance, you must call the StopNotebookInstance API.
When you delete a notebook instance, you lose all of your data. SageMaker AI removes the ML compute instance, and deletes the ML storage volume and the network interface associated with the notebook instance.
Deletes a notebook instance lifecycle configuration.
', 'DeleteOptimizationJob' => 'Deletes an optimization job.
', 'DeletePartnerApp' => 'Deletes a SageMaker Partner AI App.
', 'DeletePipeline' => 'Deletes a pipeline if there are no running instances of the pipeline. To delete a pipeline, you must stop all running instances of the pipeline using the StopPipelineExecution API. When you delete a pipeline, all instances of the pipeline are deleted.
Delete the specified project.
', 'DeleteSpace' => 'Used to delete a space.
', 'DeleteStudioLifecycleConfig' => 'Deletes the Amazon SageMaker AI Studio Lifecycle Configuration. In order to delete the Lifecycle Configuration, there must be no running apps using the Lifecycle Configuration. You must also remove the Lifecycle Configuration from UserSettings in all Domains and UserProfiles.
', 'DeleteTags' => 'Deletes the specified tags from an SageMaker resource.
To list a resource\'s tags, use the ListTags API.
When you call this API to delete tags from a hyperparameter tuning job, the deleted tags are not removed from training jobs that the hyperparameter tuning job launched before you called this API.
When you call this API to delete tags from a SageMaker Domain or User Profile, the deleted tags are not removed from Apps that the SageMaker Domain or User Profile launched before you called this API.
Deletes the specified trial. All trial components that make up the trial must be deleted first. Use the DescribeTrialComponent API to get the list of trial components.
', 'DeleteTrialComponent' => 'Deletes the specified trial component. A trial component must be disassociated from all trials before the trial component can be deleted. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
', 'DeleteUserProfile' => 'Deletes a user profile. When a user profile is deleted, the user loses access to their EFS volume, including data, notebooks, and other artifacts.
', 'DeleteWorkforce' => 'Use this operation to delete a workforce.
If you want to create a new workforce in an Amazon Web Services Region where a workforce already exists, use this operation to delete the existing workforce and then use CreateWorkforce to create a new workforce.
If a private workforce contains one or more work teams, you must use the DeleteWorkteam operation to delete all work teams before you delete the workforce. If you try to delete a workforce that contains one or more work teams, you will receive a ResourceInUse error.
Deletes an existing work team. This operation can\'t be undone.
', 'DeregisterDevices' => 'Deregisters the specified devices. After you deregister a device, you will need to re-register the devices.
', 'DescribeAction' => 'Describes an action.
', 'DescribeAlgorithm' => 'Returns a description of the specified algorithm that is in your account.
', 'DescribeApp' => 'Describes the app.
', 'DescribeAppImageConfig' => 'Describes an AppImageConfig.
', 'DescribeArtifact' => 'Describes an artifact.
', 'DescribeAutoMLJob' => 'Returns information about an AutoML job created by calling CreateAutoMLJob.
AutoML jobs created by calling CreateAutoMLJobV2 cannot be described by DescribeAutoMLJob.
Returns information about an AutoML job created by calling CreateAutoMLJobV2 or CreateAutoMLJob.
', 'DescribeCluster' => 'Retrieves information of a SageMaker HyperPod cluster.
', 'DescribeClusterNode' => 'Retrieves information of a node (also called a instance interchangeably) of a SageMaker HyperPod cluster.
', 'DescribeClusterSchedulerConfig' => 'Description of the cluster policy. This policy is used for task prioritization and fair-share allocation. This helps prioritize critical workloads and distributes idle compute across entities.
', 'DescribeCodeRepository' => 'Gets details about the specified Git repository.
', 'DescribeCompilationJob' => 'Returns information about a model compilation job.
To create a model compilation job, use CreateCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
', 'DescribeComputeQuota' => 'Description of the compute allocation definition.
', 'DescribeContext' => 'Describes a context.
', 'DescribeDataQualityJobDefinition' => 'Gets the details of a data quality monitoring job definition.
', 'DescribeDevice' => 'Describes the device.
', 'DescribeDeviceFleet' => 'A description of the fleet the device belongs to.
', 'DescribeDomain' => 'The description of the domain.
', 'DescribeEdgeDeploymentPlan' => 'Describes an edge deployment plan with deployment status per stage.
', 'DescribeEdgePackagingJob' => 'A description of edge packaging jobs.
', 'DescribeEndpoint' => 'Returns the description of an endpoint.
', 'DescribeEndpointConfig' => 'Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
Provides a list of an experiment\'s properties.
', 'DescribeFeatureGroup' => 'Use this operation to describe a FeatureGroup. The response includes information on the creation time, FeatureGroup name, the unique identifier for each FeatureGroup, and more.
Shows the metadata for a feature within a feature group.
', 'DescribeFlowDefinition' => 'Returns information about the specified flow definition.
', 'DescribeHub' => 'Describes a hub.
', 'DescribeHubContent' => 'Describe the content of a hub.
', 'DescribeHumanTaskUi' => 'Returns information about the requested human task user interface (worker task template).
', 'DescribeHyperParameterTuningJob' => 'Returns a description of a hyperparameter tuning job, depending on the fields selected. These fields can include the name, Amazon Resource Name (ARN), job status of your tuning job and more.
', 'DescribeImage' => 'Describes a SageMaker AI image.
', 'DescribeImageVersion' => 'Describes a version of a SageMaker AI image.
', 'DescribeInferenceComponent' => 'Returns information about an inference component.
', 'DescribeInferenceExperiment' => 'Returns details about an inference experiment.
', 'DescribeInferenceRecommendationsJob' => 'Provides the results of the Inference Recommender job. One or more recommendation jobs are returned.
', 'DescribeLabelingJob' => 'Gets information about a labeling job.
', 'DescribeLineageGroup' => 'Provides a list of properties for the requested lineage group. For more information, see Cross-Account Lineage Tracking in the Amazon SageMaker Developer Guide.
', 'DescribeMlflowTrackingServer' => 'Returns information about an MLflow Tracking Server.
', 'DescribeModel' => 'Describes a model that you created using the CreateModel API.
Returns a description of a model bias job definition.
', 'DescribeModelCard' => 'Describes the content, creation time, and security configuration of an Amazon SageMaker Model Card.
', 'DescribeModelCardExportJob' => 'Describes an Amazon SageMaker Model Card export job.
', 'DescribeModelExplainabilityJobDefinition' => 'Returns a description of a model explainability job definition.
', 'DescribeModelPackage' => 'Returns a description of the specified model package, which is used to create SageMaker models or list them on Amazon Web Services Marketplace.
If you provided a KMS Key ID when you created your model package, you will see the KMS Decrypt API call in your CloudTrail logs when you use this API.
To create models in SageMaker, buyers can subscribe to model packages listed on Amazon Web Services Marketplace.
', 'DescribeModelPackageGroup' => 'Gets a description for the specified model group.
', 'DescribeModelQualityJobDefinition' => 'Returns a description of a model quality job definition.
', 'DescribeMonitoringSchedule' => 'Describes the schedule for a monitoring job.
', 'DescribeNotebookInstance' => 'Returns information about a notebook instance.
', 'DescribeNotebookInstanceLifecycleConfig' => 'Returns a description of a notebook instance lifecycle configuration.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
', 'DescribeOptimizationJob' => 'Provides the properties of the specified optimization job.
', 'DescribePartnerApp' => 'Gets information about a SageMaker Partner AI App.
', 'DescribePipeline' => 'Describes the details of a pipeline.
', 'DescribePipelineDefinitionForExecution' => 'Describes the details of an execution\'s pipeline definition.
', 'DescribePipelineExecution' => 'Describes the details of a pipeline execution.
', 'DescribeProcessingJob' => 'Returns a description of a processing job.
', 'DescribeProject' => 'Describes the details of a project.
', 'DescribeSpace' => 'Describes the space.
', 'DescribeStudioLifecycleConfig' => 'Describes the Amazon SageMaker AI Studio Lifecycle Configuration.
', 'DescribeSubscribedWorkteam' => 'Gets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the Amazon Web Services Marketplace.
', 'DescribeTrainingJob' => 'Returns information about a training job.
Some of the attributes below only appear if the training job successfully starts. If the training job fails, TrainingJobStatus is Failed and, depending on the FailureReason, attributes like TrainingStartTime, TrainingTimeInSeconds, TrainingEndTime, and BillableTimeInSeconds may not be present in the response.
Retrieves detailed information about a specific training plan.
', 'DescribeTransformJob' => 'Returns information about a transform job.
', 'DescribeTrial' => 'Provides a list of a trial\'s properties.
', 'DescribeTrialComponent' => 'Provides a list of a trials component\'s properties.
', 'DescribeUserProfile' => 'Describes a user profile. For more information, see CreateUserProfile.
Lists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges (CIDRs). Allowable IP address ranges are the IP addresses that workers can use to access tasks.
This operation applies only to private workforces.
Gets information about a specific work team. You can see information such as the creation date, the last updated date, membership information, and the work team\'s Amazon Resource Name (ARN).
', 'DisableSagemakerServicecatalogPortfolio' => 'Disables using Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
', 'DisassociateTrialComponent' => 'Disassociates a trial component from a trial. This doesn\'t effect other trials the component is associated with. Before you can delete a component, you must disassociate the component from all trials it is associated with. To associate a trial component with a trial, call the AssociateTrialComponent API.
To get a list of the trials a component is associated with, use the Search API. Specify ExperimentTrialComponent for the Resource parameter. The list appears in the response under Results.TrialComponent.Parents.
Enables using Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
', 'GetDeviceFleetReport' => 'Describes a fleet.
', 'GetLineageGroupPolicy' => 'The resource policy for the lineage group.
', 'GetModelPackageGroupPolicy' => 'Gets a resource policy that manages access for a model group. For information about resource policies, see Identity-based policies and resource-based policies in the Amazon Web Services Identity and Access Management User Guide..
', 'GetSagemakerServicecatalogPortfolioStatus' => 'Gets the status of Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
', 'GetScalingConfigurationRecommendation' => 'Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job. Returns recommendations for autoscaling policies that you can apply to your SageMaker endpoint.
', 'GetSearchSuggestions' => 'An auto-complete API for the search functionality in the SageMaker console. It returns suggestions of possible matches for the property name to use in Search queries. Provides suggestions for HyperParameters, Tags, and Metrics.
Import hub content.
', 'ListActions' => 'Lists the actions in your account and their properties.
', 'ListAlgorithms' => 'Lists the machine learning algorithms that have been created.
', 'ListAliases' => 'Lists the aliases of a specified image or image version.
', 'ListAppImageConfigs' => 'Lists the AppImageConfigs in your account and their properties. The list can be filtered by creation time or modified time, and whether the AppImageConfig name contains a specified string.
', 'ListApps' => 'Lists apps.
', 'ListArtifacts' => 'Lists the artifacts in your account and their properties.
', 'ListAssociations' => 'Lists the associations in your account and their properties.
', 'ListAutoMLJobs' => 'Request a list of jobs.
', 'ListCandidatesForAutoMLJob' => 'List the candidates created for the job.
', 'ListClusterNodes' => 'Retrieves the list of instances (also called nodes interchangeably) in a SageMaker HyperPod cluster.
', 'ListClusterSchedulerConfigs' => 'List the cluster policy configurations.
', 'ListClusters' => 'Retrieves the list of SageMaker HyperPod clusters.
', 'ListCodeRepositories' => 'Gets a list of the Git repositories in your account.
', 'ListCompilationJobs' => 'Lists model compilation jobs that satisfy various filters.
To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
', 'ListComputeQuotas' => 'List the resource allocation definitions.
', 'ListContexts' => 'Lists the contexts in your account and their properties.
', 'ListDataQualityJobDefinitions' => 'Lists the data quality job definitions in your account.
', 'ListDeviceFleets' => 'Returns a list of devices in the fleet.
', 'ListDevices' => 'A list of devices.
', 'ListDomains' => 'Lists the domains.
', 'ListEdgeDeploymentPlans' => 'Lists all edge deployment plans.
', 'ListEdgePackagingJobs' => 'Returns a list of edge packaging jobs.
', 'ListEndpointConfigs' => 'Lists endpoint configurations.
', 'ListEndpoints' => 'Lists endpoints.
', 'ListExperiments' => 'Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.
', 'ListFeatureGroups' => 'List FeatureGroups based on given filter and order.
Returns information about the flow definitions in your account.
', 'ListHubContentVersions' => 'List hub content versions.
', 'ListHubContents' => 'List the contents of a hub.
', 'ListHubs' => 'List all existing hubs.
', 'ListHumanTaskUis' => 'Returns information about the human task user interfaces in your account.
', 'ListHyperParameterTuningJobs' => 'Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
', 'ListImageVersions' => 'Lists the versions of a specified image and their properties. The list can be filtered by creation time or modified time.
', 'ListImages' => 'Lists the images in your account and their properties. The list can be filtered by creation time or modified time, and whether the image name contains a specified string.
', 'ListInferenceComponents' => 'Lists the inference components in your account and their properties.
', 'ListInferenceExperiments' => 'Returns the list of all inference experiments.
', 'ListInferenceRecommendationsJobSteps' => 'Returns a list of the subtasks for an Inference Recommender job.
The supported subtasks are benchmarks, which evaluate the performance of your model on different instance types.
', 'ListInferenceRecommendationsJobs' => 'Lists recommendation jobs that satisfy various filters.
', 'ListLabelingJobs' => 'Gets a list of labeling jobs.
', 'ListLabelingJobsForWorkteam' => 'Gets a list of labeling jobs assigned to a specified work team.
', 'ListLineageGroups' => 'A list of lineage groups shared with your Amazon Web Services account. For more information, see Cross-Account Lineage Tracking in the Amazon SageMaker Developer Guide.
', 'ListMlflowTrackingServers' => 'Lists all MLflow Tracking Servers.
', 'ListModelBiasJobDefinitions' => 'Lists model bias jobs definitions that satisfy various filters.
', 'ListModelCardExportJobs' => 'List the export jobs for the Amazon SageMaker Model Card.
', 'ListModelCardVersions' => 'List existing versions of an Amazon SageMaker Model Card.
', 'ListModelCards' => 'List existing model cards.
', 'ListModelExplainabilityJobDefinitions' => 'Lists model explainability job definitions that satisfy various filters.
', 'ListModelMetadata' => 'Lists the domain, framework, task, and model name of standard machine learning models found in common model zoos.
', 'ListModelPackageGroups' => 'Gets a list of the model groups in your Amazon Web Services account.
', 'ListModelPackages' => 'Lists the model packages that have been created.
', 'ListModelQualityJobDefinitions' => 'Gets a list of model quality monitoring job definitions in your account.
', 'ListModels' => 'Lists models created with the CreateModel API.
Gets a list of past alerts in a model monitoring schedule.
', 'ListMonitoringAlerts' => 'Gets the alerts for a single monitoring schedule.
', 'ListMonitoringExecutions' => 'Returns list of all monitoring job executions.
', 'ListMonitoringSchedules' => 'Returns list of all monitoring schedules.
', 'ListNotebookInstanceLifecycleConfigs' => 'Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
', 'ListNotebookInstances' => 'Returns a list of the SageMaker AI notebook instances in the requester\'s account in an Amazon Web Services Region.
', 'ListOptimizationJobs' => 'Lists the optimization jobs in your account and their properties.
', 'ListPartnerApps' => 'Lists all of the SageMaker Partner AI Apps in an account.
', 'ListPipelineExecutionSteps' => 'Gets a list of PipeLineExecutionStep objects.
Gets a list of the pipeline executions.
', 'ListPipelineParametersForExecution' => 'Gets a list of parameters for a pipeline execution.
', 'ListPipelines' => 'Gets a list of pipelines.
', 'ListProcessingJobs' => 'Lists processing jobs that satisfy various filters.
', 'ListProjects' => 'Gets a list of the projects in an Amazon Web Services account.
', 'ListResourceCatalogs' => ' Lists Amazon SageMaker Catalogs based on given filters and orders. The maximum number of ResourceCatalogs viewable is 1000.
Lists spaces.
', 'ListStageDevices' => 'Lists devices allocated to the stage, containing detailed device information and deployment status.
', 'ListStudioLifecycleConfigs' => 'Lists the Amazon SageMaker AI Studio Lifecycle Configurations in your Amazon Web Services Account.
', 'ListSubscribedWorkteams' => 'Gets a list of the work teams that you are subscribed to in the Amazon Web Services Marketplace. The list may be empty if no work team satisfies the filter specified in the NameContains parameter.
Returns the tags for the specified SageMaker resource.
', 'ListTrainingJobs' => 'Lists training jobs.
When StatusEquals and MaxResults are set at the same time, the MaxResults number of training jobs are first retrieved ignoring the StatusEquals parameter and then they are filtered by the StatusEquals parameter, which is returned as a response.
For example, if ListTrainingJobs is invoked with the following parameters:
{ ... MaxResults: 100, StatusEquals: InProgress ... }
First, 100 trainings jobs with any status, including those other than InProgress, are selected (sorted according to the creation time, from the most current to the oldest). Next, those with a status of InProgress are returned.
You can quickly test the API using the following Amazon Web Services CLI code.
aws sagemaker list-training-jobs --max-results 100 --status-equals InProgress
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
', 'ListTrainingPlans' => 'Retrieves a list of training plans for the current account.
', 'ListTransformJobs' => 'Lists transform jobs.
', 'ListTrialComponents' => 'Lists the trial components in your account. You can sort the list by trial component name or creation time. You can filter the list to show only components that were created in a specific time range. You can also filter on one of the following:
ExperimentName
SourceArn
TrialName
Lists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. Specify a trial component name to limit the list to the trials that associated with that trial component. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time.
', 'ListUserProfiles' => 'Lists user profiles.
', 'ListWorkforces' => 'Use this operation to list all private and vendor workforces in an Amazon Web Services Region. Note that you can only have one private workforce per Amazon Web Services Region.
', 'ListWorkteams' => 'Gets a list of private work teams that you have defined in a region. The list may be empty if no work team satisfies the filter specified in the NameContains parameter.
Adds a resouce policy to control access to a model group. For information about resoure policies, see Identity-based policies and resource-based policies in the Amazon Web Services Identity and Access Management User Guide..
', 'QueryLineage' => 'Use this action to inspect your lineage and discover relationships between entities. For more information, see Querying Lineage Entities in the Amazon SageMaker Developer Guide.
', 'RegisterDevices' => 'Register devices.
', 'RenderUiTemplate' => 'Renders the UI template so that you can preview the worker\'s experience.
', 'RetryPipelineExecution' => 'Retry the execution of the pipeline.
', 'Search' => 'Finds SageMaker resources that match a search query. Matching resources are returned as a list of SearchRecord objects in the response. You can sort the search results by any resource property in a ascending or descending order.
You can query against the following value types: numeric, text, Boolean, and timestamp.
The Search API may provide access to otherwise restricted data. See Amazon SageMaker API Permissions: Actions, Permissions, and Resources Reference for more information.
Searches for available training plan offerings based on specified criteria.
Users search for available plan offerings based on their requirements (e.g., instance type, count, start time, duration).
And then, they create a plan that best matches their needs using the ID of the plan offering they want to use.
For more information about how to reserve GPU capacity for your SageMaker training jobs or SageMaker HyperPod clusters using Amazon SageMaker Training Plan , see CreateTrainingPlan .
Notifies the pipeline that the execution of a callback step failed, along with a message describing why. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).
', 'SendPipelineExecutionStepSuccess' => 'Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step\'s output parameters. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).
', 'StartEdgeDeploymentStage' => 'Starts a stage in an edge deployment plan.
', 'StartInferenceExperiment' => 'Starts an inference experiment.
', 'StartMlflowTrackingServer' => 'Programmatically start an MLflow Tracking Server.
', 'StartMonitoringSchedule' => 'Starts a previously stopped monitoring schedule.
By default, when you successfully create a new schedule, the status of a monitoring schedule is scheduled.
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, SageMaker AI sets the notebook instance status to InService. A notebook instance\'s status must be InService before you can connect to your Jupyter notebook.
Starts a pipeline execution.
', 'StopAutoMLJob' => 'A method for forcing a running job to shut down.
', 'StopCompilationJob' => 'Stops a model compilation job.
To stop a job, Amazon SageMaker AI sends the algorithm the SIGTERM signal. This gracefully shuts the job down. If the job hasn\'t stopped, it sends the SIGKILL signal.
When it receives a StopCompilationJob request, Amazon SageMaker AI changes the CompilationJobStatus of the job to Stopping. After Amazon SageMaker stops the job, it sets the CompilationJobStatus to Stopped.
Stops a stage in an edge deployment plan.
', 'StopEdgePackagingJob' => 'Request to stop an edge packaging job.
', 'StopHyperParameterTuningJob' => 'Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
All model artifacts output from the training jobs are stored in Amazon Simple Storage Service (Amazon S3). All data that the training jobs write to Amazon CloudWatch Logs are still available in CloudWatch. After the tuning job moves to the Stopped state, it releases all reserved resources for the tuning job.
Stops an inference experiment.
', 'StopInferenceRecommendationsJob' => 'Stops an Inference Recommender job.
', 'StopLabelingJob' => 'Stops a running labeling job. A job that is stopped cannot be restarted. Any results obtained before the job is stopped are placed in the Amazon S3 output bucket.
', 'StopMlflowTrackingServer' => 'Programmatically stop an MLflow Tracking Server.
', 'StopMonitoringSchedule' => 'Stops a previously started monitoring schedule.
', 'StopNotebookInstance' => 'Terminates the ML compute instance. Before terminating the instance, SageMaker AI disconnects the ML storage volume from it. SageMaker AI preserves the ML storage volume. SageMaker AI stops charging you for the ML compute instance when you call StopNotebookInstance.
To access data on the ML storage volume for a notebook instance that has been terminated, call the StartNotebookInstance API. StartNotebookInstance launches another ML compute instance, configures it, and attaches the preserved ML storage volume so you can continue your work.
Ends a running inference optimization job.
', 'StopPipelineExecution' => 'Stops a pipeline execution.
Callback Step
A pipeline execution won\'t stop while a callback step is running. When you call StopPipelineExecution on a pipeline execution with a running callback step, SageMaker Pipelines sends an additional Amazon SQS message to the specified SQS queue. The body of the SQS message contains a "Status" field which is set to "Stopping".
You should add logic to your Amazon SQS message consumer to take any needed action (for example, resource cleanup) upon receipt of the message followed by a call to SendPipelineExecutionStepSuccess or SendPipelineExecutionStepFailure.
Only when SageMaker Pipelines receives one of these calls will it stop the pipeline execution.
Lambda Step
A pipeline execution can\'t be stopped while a lambda step is running because the Lambda function invoked by the lambda step can\'t be stopped. If you attempt to stop the execution while the Lambda function is running, the pipeline waits for the Lambda function to finish or until the timeout is hit, whichever occurs first, and then stops. If the Lambda function finishes, the pipeline execution status is Stopped. If the timeout is hit the pipeline execution status is Failed.
Stops a processing job.
', 'StopTrainingJob' => 'Stops a training job. To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms might use this 120-second window to save the model artifacts, so the results of the training is not lost.
When it receives a StopTrainingJob request, SageMaker changes the status of the job to Stopping. After SageMaker stops the job, it sets the status to Stopped.
Stops a batch transform job.
When Amazon SageMaker receives a StopTransformJob request, the status of the job changes to Stopping. After Amazon SageMaker stops the job, the status is set to Stopped. When you stop a batch transform job before it is completed, Amazon SageMaker doesn\'t store the job\'s output in Amazon S3.
Updates an action.
', 'UpdateAppImageConfig' => 'Updates the properties of an AppImageConfig.
', 'UpdateArtifact' => 'Updates an artifact.
', 'UpdateCluster' => 'Updates a SageMaker HyperPod cluster.
', 'UpdateClusterSchedulerConfig' => 'Update the cluster policy configuration.
', 'UpdateClusterSoftware' => 'Updates the platform software of a SageMaker HyperPod cluster for security patching. To learn how to use this API, see Update the SageMaker HyperPod platform software of a cluster.
The UpgradeClusterSoftware API call may impact your SageMaker HyperPod cluster uptime and availability. Plan accordingly to mitigate potential disruptions to your workloads.
Updates the specified Git repository with the specified values.
', 'UpdateComputeQuota' => 'Update the compute allocation definition.
', 'UpdateContext' => 'Updates a context.
', 'UpdateDeviceFleet' => 'Updates a fleet of devices.
', 'UpdateDevices' => 'Updates one or more devices in a fleet.
', 'UpdateDomain' => 'Updates the default settings for new user profiles in the domain.
', 'UpdateEndpoint' => 'Deploys the EndpointConfig specified in the request to a new fleet of instances. SageMaker shifts endpoint traffic to the new instances with the updated endpoint configuration and then deletes the old instances using the previous EndpointConfig (there is no availability loss). For more information about how to control the update and traffic shifting process, see Update models in production.
When SageMaker receives the request, it sets the endpoint status to Updating. After updating the endpoint, it sets the status to InService. To check the status of an endpoint, use the DescribeEndpoint API.
You must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig.
If you delete the EndpointConfig of an endpoint that is active or being created or updated you may lose visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop incurring charges.
Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant associated with an existing endpoint. When it receives the request, SageMaker sets the endpoint status to Updating. After updating the endpoint, it sets the status to InService. To check the status of an endpoint, use the DescribeEndpoint API.
Adds, updates, or removes the description of an experiment. Updates the display name of an experiment.
', 'UpdateFeatureGroup' => 'Updates the feature group by either adding features or updating the online store configuration. Use one of the following request parameters at a time while using the UpdateFeatureGroup API.
You can add features for your feature group using the FeatureAdditions request parameter. Features cannot be removed from a feature group.
You can update the online store configuration by using the OnlineStoreConfig request parameter. If a TtlDuration is specified, the default TtlDuration applies for all records added to the feature group after the feature group is updated. If a record level TtlDuration exists from using the PutRecord API, the record level TtlDuration applies to that record instead of the default TtlDuration. To remove the default TtlDuration from an existing feature group, use the UpdateFeatureGroup API and set the TtlDuration Unit and Value to null.
Updates the description and parameters of the feature group.
', 'UpdateHub' => 'Update a hub.
', 'UpdateImage' => 'Updates the properties of a SageMaker AI image. To change the image\'s tags, use the AddTags and DeleteTags APIs.
', 'UpdateImageVersion' => 'Updates the properties of a SageMaker AI image version.
', 'UpdateInferenceComponent' => 'Updates an inference component.
', 'UpdateInferenceComponentRuntimeConfig' => 'Runtime settings for a model that is deployed with an inference component.
', 'UpdateInferenceExperiment' => ' Updates an inference experiment that you created. The status of the inference experiment has to be either Created, Running. For more information on the status of an inference experiment, see DescribeInferenceExperiment.
Updates properties of an existing MLflow Tracking Server.
', 'UpdateModelCard' => 'Update an Amazon SageMaker Model Card.
You cannot update both model card content and model card status in a single call.
Updates a versioned model.
', 'UpdateMonitoringAlert' => 'Update the parameters of a model monitor alert.
', 'UpdateMonitoringSchedule' => 'Updates a previously created schedule.
', 'UpdateNotebookInstance' => 'Updates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements.
', 'UpdateNotebookInstanceLifecycleConfig' => 'Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
', 'UpdatePartnerApp' => 'Updates all of the SageMaker Partner AI Apps in an account.
', 'UpdatePipeline' => 'Updates a pipeline.
', 'UpdatePipelineExecution' => 'Updates a pipeline execution.
', 'UpdateProject' => 'Updates a machine learning (ML) project that is created from a template that sets up an ML pipeline from training to deploying an approved model.
You must not update a project that is in use. If you update the ServiceCatalogProvisioningUpdateDetails of a project that is active or being created, or updated, you may lose resources already created by the project.
Updates the settings of a space.
You can\'t edit the app type of a space in the SpaceSettings.
Update a model training job to request a new Debugger profiling configuration or to change warm pool retention length.
', 'UpdateTrial' => 'Updates the display name of a trial.
', 'UpdateTrialComponent' => 'Updates one or more properties of a trial component.
', 'UpdateUserProfile' => 'Updates a user profile.
', 'UpdateWorkforce' => 'Use this operation to update your workforce. You can use this operation to require that workers use specific IP addresses to work on tasks and to update your OpenID Connect (OIDC) Identity Provider (IdP) workforce configuration.
The worker portal is now supported in VPC and public internet.
Use SourceIpConfig to restrict worker access to tasks to a specific range of IP addresses. You specify allowed IP addresses by creating a list of up to ten CIDRs. By default, a workforce isn\'t restricted to specific IP addresses. If you specify a range of IP addresses, workers who attempt to access tasks using any IP address outside the specified range are denied and get a Not Found error message on the worker portal.
To restrict access to all the workers in public internet, add the SourceIpConfig CIDR value as "10.0.0.0/16".
Amazon SageMaker does not support Source Ip restriction for worker portals in VPC.
Use OidcConfig to update the configuration of a workforce created using your own OIDC IdP.
You can only update your OIDC IdP configuration when there are no work teams associated with your workforce. You can delete work teams using the DeleteWorkteam operation.
After restricting access to a range of IP addresses or updating your OIDC IdP configuration with this operation, you can view details about your update workforce using the DescribeWorkforce operation.
This operation only applies to private workforces.
Updates an existing work team with new member definitions or description.
', ], 'shapes' => [ 'Accept' => [ 'base' => NULL, 'refs' => [ 'TransformOutput$Accept' => 'The MIME type used to specify the output data. Amazon SageMaker uses the MIME type with each http call to transfer data from the transform job.
', ], ], 'AcceptEula' => [ 'base' => NULL, 'refs' => [ 'ModelAccessConfig$AcceptEula' => 'Specifies agreement to the model end-user license agreement (EULA). The AcceptEula value must be explicitly defined as True in order to accept the EULA that this model requires. You are responsible for reviewing and complying with any applicable license terms and making sure they are acceptable for your use case before downloading or using a model.
The Amazon Web Services account ID of the account used to start the labeling job.
', 'VpcOnlyTrustedAccounts$member' => NULL, ], ], 'ActionArn' => [ 'base' => NULL, 'refs' => [ 'ActionSummary$ActionArn' => 'The Amazon Resource Name (ARN) of the action.
', 'CreateActionResponse$ActionArn' => 'The Amazon Resource Name (ARN) of the action.
', 'DeleteActionResponse$ActionArn' => 'The Amazon Resource Name (ARN) of the action.
', 'DescribeActionResponse$ActionArn' => 'The Amazon Resource Name (ARN) of the action.
', 'UpdateActionResponse$ActionArn' => 'The Amazon Resource Name (ARN) of the action.
', ], ], 'ActionSource' => [ 'base' => 'A structure describing the source of an action.
', 'refs' => [ 'ActionSummary$Source' => 'The source of the action.
', 'CreateActionRequest$Source' => 'The source type, ID, and URI.
', 'DescribeActionResponse$Source' => 'The source of the action.
', ], ], 'ActionStatus' => [ 'base' => NULL, 'refs' => [ 'ActionSummary$Status' => 'The status of the action.
', 'CreateActionRequest$Status' => 'The status of the action.
', 'DescribeActionResponse$Status' => 'The status of the action.
', 'UpdateActionRequest$Status' => 'The new status for the action.
', ], ], 'ActionSummaries' => [ 'base' => NULL, 'refs' => [ 'ListActionsResponse$ActionSummaries' => 'A list of actions and their properties.
', ], ], 'ActionSummary' => [ 'base' => 'Lists the properties of an action. An action represents an action or activity. Some examples are a workflow step and a model deployment. Generally, an action involves at least one input artifact or output artifact.
', 'refs' => [ 'ActionSummaries$member' => NULL, ], ], 'ActivationState' => [ 'base' => NULL, 'refs' => [ 'ComputeQuotaSummary$ActivationState' => 'The state of the compute allocation being described. Use to enable or disable compute allocation.
Default is Enabled.
The state of the compute allocation being described. Use to enable or disable compute allocation.
Default is Enabled.
The state of the compute allocation being described. Use to enable or disable compute allocation.
Default is Enabled.
The state of the compute allocation being described. Use to enable or disable compute allocation.
Default is Enabled.
An array of up to three Git repositories to associate with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.
', 'DescribeNotebookInstanceOutput$AdditionalCodeRepositories' => 'An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.
', 'NotebookInstanceSummary$AdditionalCodeRepositories' => 'An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.
', 'UpdateNotebookInstanceInput$AdditionalCodeRepositories' => 'An array of up to three Git repositories to associate with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.
', ], ], 'AdditionalInferenceSpecificationDefinition' => [ 'base' => 'A structure of additional Inference Specification. Additional Inference Specification specifies details about inference jobs that can be run with models based on this model package
', 'refs' => [ 'AdditionalInferenceSpecifications$member' => NULL, ], ], 'AdditionalInferenceSpecifications' => [ 'base' => NULL, 'refs' => [ 'CreateModelPackageInput$AdditionalInferenceSpecifications' => 'An array of additional Inference Specification objects. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.
', 'DescribeModelPackageOutput$AdditionalInferenceSpecifications' => 'An array of additional Inference Specification objects. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.
', 'ModelPackage$AdditionalInferenceSpecifications' => 'An array of additional Inference Specification objects.
', 'UpdateModelPackageInput$AdditionalInferenceSpecificationsToAdd' => 'An array of additional Inference Specification objects to be added to the existing array additional Inference Specification. Total number of additional Inference Specifications can not exceed 15. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.
', ], ], 'AdditionalModelChannelName' => [ 'base' => NULL, 'refs' => [ 'AdditionalModelDataSource$ChannelName' => 'A custom name for this AdditionalModelDataSource object.
Data sources that are available to your model in addition to the one that you specify for ModelDataSource when you use the CreateModel action.
Data sources that are available to your model in addition to the one that you specify for ModelDataSource when you use the CreateModel action.
A data source used for training or inference that is in addition to the input dataset or model data.
', 'refs' => [ 'ModelPackageContainerDefinition$AdditionalS3DataSource' => 'The additional data source that is used during inference in the Docker container for your model package.
', 'TrainingSpecification$AdditionalS3DataSource' => 'The additional data source used during the training job.
', ], ], 'AdditionalS3DataSourceDataType' => [ 'base' => NULL, 'refs' => [ 'AdditionalS3DataSource$S3DataType' => 'The data type of the additional data source that you specify for use in inference or training.
', ], ], 'AgentVersion' => [ 'base' => 'Edge Manager agent version.
', 'refs' => [ 'AgentVersions$member' => NULL, ], ], 'AgentVersions' => [ 'base' => NULL, 'refs' => [ 'GetDeviceFleetReportResponse$AgentVersions' => 'The versions of Edge Manager agent deployed on the fleet.
', ], ], 'AggregationTransformationValue' => [ 'base' => NULL, 'refs' => [ 'AggregationTransformations$value' => NULL, ], ], 'AggregationTransformations' => [ 'base' => NULL, 'refs' => [ 'TimeSeriesTransformations$Aggregation' => 'A key value pair defining the aggregation method for a column, where the key is the column name and the value is the aggregation method.
The supported aggregation methods are sum (default), avg, first, min, max.
Aggregation is only supported for the target column.
An Amazon CloudWatch alarm configured to monitor metrics on an endpoint.
', 'refs' => [ 'AlarmList$member' => NULL, ], ], 'AlarmList' => [ 'base' => NULL, 'refs' => [ 'AutoRollbackConfig$Alarms' => 'List of CloudWatch alarms in your account that are configured to monitor metrics on an endpoint. If any alarms are tripped during a deployment, SageMaker rolls back the deployment.
', ], ], 'AlarmName' => [ 'base' => NULL, 'refs' => [ 'Alarm$AlarmName' => 'The name of a CloudWatch alarm in your account.
', ], ], 'AlgorithmArn' => [ 'base' => NULL, 'refs' => [ 'AlgorithmSummary$AlgorithmArn' => 'The Amazon Resource Name (ARN) of the algorithm.
', 'CreateAlgorithmOutput$AlgorithmArn' => 'The Amazon Resource Name (ARN) of the new algorithm.
', 'DescribeAlgorithmOutput$AlgorithmArn' => 'The Amazon Resource Name (ARN) of the algorithm.
', ], ], 'AlgorithmImage' => [ 'base' => NULL, 'refs' => [ 'AlgorithmSpecification$TrainingImage' => 'The registry path of the Docker image that contains the training algorithm. For information about docker registry paths for SageMaker built-in algorithms, see Docker Registry Paths and Example Code in the Amazon SageMaker developer guide. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information about using your custom training container, see Using Your Own Algorithms with Amazon SageMaker.
You must specify either the algorithm name to the AlgorithmName parameter or the image URI of the algorithm container to the TrainingImage parameter.
For more information, see the note in the AlgorithmName parameter description.
The Amazon Elastic Container (ECR) Image for the managed rule evaluation.
', 'HyperParameterAlgorithmSpecification$TrainingImage' => ' The registry path of the Docker image that contains the training algorithm. For information about Docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
The Amazon Elastic Container Registry Image for the managed rule evaluation.
', ], ], 'AlgorithmSortBy' => [ 'base' => NULL, 'refs' => [ 'ListAlgorithmsInput$SortBy' => 'The parameter by which to sort the results. The default is CreationTime.
Specifies the training algorithm to use in a CreateTrainingJob request.
SageMaker uses its own SageMaker account credentials to pull and access built-in algorithms so built-in algorithms are universally accessible across all Amazon Web Services accounts. As a result, built-in algorithms have standard, unrestricted access. You cannot restrict built-in algorithms using IAM roles. Use custom algorithms if you require specific access controls.
For more information about algorithms provided by SageMaker, see Algorithms. For information about using your own algorithms, see Using Your Own Algorithms with Amazon SageMaker.
', 'refs' => [ 'CreateTrainingJobRequest$AlgorithmSpecification' => 'The registry path of the Docker image that contains the training algorithm and algorithm-specific metadata, including the input mode. For more information about algorithms provided by SageMaker, see Algorithms. For information about providing your own algorithms, see Using Your Own Algorithms with Amazon SageMaker.
', 'DescribeTrainingJobResponse$AlgorithmSpecification' => 'Information about the algorithm used for training, and algorithm metadata.
', 'TrainingJob$AlgorithmSpecification' => 'Information about the algorithm used for training, and algorithm metadata.
', ], ], 'AlgorithmStatus' => [ 'base' => NULL, 'refs' => [ 'AlgorithmSummary$AlgorithmStatus' => 'The overall status of the algorithm.
', 'DescribeAlgorithmOutput$AlgorithmStatus' => 'The current status of the algorithm.
', ], ], 'AlgorithmStatusDetails' => [ 'base' => 'Specifies the validation and image scan statuses of the algorithm.
', 'refs' => [ 'DescribeAlgorithmOutput$AlgorithmStatusDetails' => 'Details about the current status of the algorithm.
', ], ], 'AlgorithmStatusItem' => [ 'base' => 'Represents the overall status of an algorithm.
', 'refs' => [ 'AlgorithmStatusItemList$member' => NULL, ], ], 'AlgorithmStatusItemList' => [ 'base' => NULL, 'refs' => [ 'AlgorithmStatusDetails$ValidationStatuses' => 'The status of algorithm validation.
', 'AlgorithmStatusDetails$ImageScanStatuses' => 'The status of the scan of the algorithm\'s Docker image container.
', ], ], 'AlgorithmSummary' => [ 'base' => 'Provides summary information about an algorithm.
', 'refs' => [ 'AlgorithmSummaryList$member' => NULL, ], ], 'AlgorithmSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListAlgorithmsOutput$AlgorithmSummaryList' => '>An array of AlgorithmSummary objects, each of which lists an algorithm.
Defines a training job and a batch transform job that SageMaker runs to validate your algorithm.
The data provided in the validation profile is made available to your buyers on Amazon Web Services Marketplace.
', 'refs' => [ 'AlgorithmValidationProfiles$member' => NULL, ], ], 'AlgorithmValidationProfiles' => [ 'base' => NULL, 'refs' => [ 'AlgorithmValidationSpecification$ValidationProfiles' => 'An array of AlgorithmValidationProfile objects, each of which specifies a training job and batch transform job that SageMaker runs to validate your algorithm.
Specifies configurations for one or more training jobs that SageMaker runs to test the algorithm.
', 'refs' => [ 'CreateAlgorithmInput$ValidationSpecification' => 'Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm\'s training code and, optionally, one or more batch transform jobs that SageMaker runs to test the algorithm\'s inference code.
', 'DescribeAlgorithmOutput$ValidationSpecification' => 'Details about configurations for one or more training jobs that SageMaker runs to test the algorithm.
', ], ], 'AmazonQSettings' => [ 'base' => 'A collection of settings that configure the Amazon Q experience within the domain.
', 'refs' => [ 'DomainSettings$AmazonQSettings' => 'A collection of settings that configure the Amazon Q experience within the domain. The AuthMode that you use to create the domain must be SSO.
A collection of settings that configure the Amazon Q experience within the domain.
', ], ], 'AnnotationConsolidationConfig' => [ 'base' => 'Configures how labels are consolidated across human workers and processes output data.
', 'refs' => [ 'HumanTaskConfig$AnnotationConsolidationConfig' => 'Configures how labels are consolidated across human workers.
', ], ], 'AppArn' => [ 'base' => NULL, 'refs' => [ 'CreateAppResponse$AppArn' => 'The Amazon Resource Name (ARN) of the app.
', 'DescribeAppResponse$AppArn' => 'The Amazon Resource Name (ARN) of the app.
', ], ], 'AppDetails' => [ 'base' => 'Details about an Amazon SageMaker AI app.
', 'refs' => [ 'AppList$member' => NULL, ], ], 'AppImageConfigArn' => [ 'base' => NULL, 'refs' => [ 'AppImageConfigDetails$AppImageConfigArn' => 'The ARN of the AppImageConfig.
', 'CreateAppImageConfigResponse$AppImageConfigArn' => 'The ARN of the AppImageConfig.
', 'DescribeAppImageConfigResponse$AppImageConfigArn' => 'The ARN of the AppImageConfig.
', 'UpdateAppImageConfigResponse$AppImageConfigArn' => 'The ARN for the AppImageConfig.
', ], ], 'AppImageConfigDetails' => [ 'base' => 'The configuration for running a SageMaker AI image as a KernelGateway app.
', 'refs' => [ 'AppImageConfigList$member' => NULL, ], ], 'AppImageConfigList' => [ 'base' => NULL, 'refs' => [ 'ListAppImageConfigsResponse$AppImageConfigs' => 'A list of AppImageConfigs and their properties.
', ], ], 'AppImageConfigName' => [ 'base' => NULL, 'refs' => [ 'AppImageConfigDetails$AppImageConfigName' => 'The name of the AppImageConfig. Must be unique to your account.
', 'CreateAppImageConfigRequest$AppImageConfigName' => 'The name of the AppImageConfig. Must be unique to your account.
', 'CustomImage$AppImageConfigName' => 'The name of the AppImageConfig.
', 'DeleteAppImageConfigRequest$AppImageConfigName' => 'The name of the AppImageConfig to delete.
', 'DescribeAppImageConfigRequest$AppImageConfigName' => 'The name of the AppImageConfig to describe.
', 'DescribeAppImageConfigResponse$AppImageConfigName' => 'The name of the AppImageConfig.
', 'ListAppImageConfigsRequest$NameContains' => 'A filter that returns only AppImageConfigs whose name contains the specified string.
', 'UpdateAppImageConfigRequest$AppImageConfigName' => 'The name of the AppImageConfig to update.
', ], ], 'AppImageConfigSortKey' => [ 'base' => NULL, 'refs' => [ 'ListAppImageConfigsRequest$SortBy' => 'The property used to sort results. The default value is CreationTime.
The instance type that the image version runs on.
JupyterServer apps only support the system value.
For KernelGateway apps, the system value is translated to ml.t3.medium. KernelGateway apps also support all other values for available instance types.
Settings that are used to configure and manage the lifecycle of Amazon SageMaker Studio applications.
', 'refs' => [ 'CodeEditorAppSettings$AppLifecycleManagement' => 'Settings that are used to configure and manage the lifecycle of CodeEditor applications.
', 'JupyterLabAppSettings$AppLifecycleManagement' => 'Indicates whether idle shutdown is activated for JupyterLab applications.
', ], ], 'AppList' => [ 'base' => NULL, 'refs' => [ 'ListAppsResponse$Apps' => 'The list of apps.
', ], ], 'AppManaged' => [ 'base' => NULL, 'refs' => [ 'ProcessingInput$AppManaged' => 'When True, input operations such as data download are managed natively by the processing job application. When False (default), input operations are managed by Amazon SageMaker.
When True, output operations such as data upload are managed natively by the processing job application. When False (default), output operations are managed by Amazon SageMaker.
The name of the app.
', 'CreateAppRequest$AppName' => 'The name of the app.
', 'DeleteAppRequest$AppName' => 'The name of the app.
', 'DescribeAppRequest$AppName' => 'The name of the app.
', 'DescribeAppResponse$AppName' => 'The name of the app.
', ], ], 'AppNetworkAccessType' => [ 'base' => NULL, 'refs' => [ 'CreateDomainRequest$AppNetworkAccessType' => 'Specifies the VPC used for non-EFS traffic. The default value is PublicInternetOnly.
PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker AI, which allows direct internet access
VpcOnly - All traffic is through the specified VPC and subnets
Specifies the VPC used for non-EFS traffic. The default value is PublicInternetOnly.
PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker AI, which allows direct internet access
VpcOnly - All traffic is through the specified VPC and subnets
Specifies the VPC used for non-EFS traffic.
PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker AI, which allows direct internet access.
VpcOnly - All Studio traffic is through the specified VPC and subnets.
This configuration can only be modified if there are no apps in the InService, Pending, or Deleting state. The configuration cannot be updated if DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is already set or DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is provided as part of the same request.
The entity that creates and manages the required security groups for inter-app communication in VPCOnly mode. Required when CreateDomain.AppNetworkAccessType is VPCOnly and DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is provided. If setting up the domain for use with RStudio, this value must be set to Service.
The entity that creates and manages the required security groups for inter-app communication in VPCOnly mode. Required when CreateDomain.AppNetworkAccessType is VPCOnly and DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is provided.
The entity that creates and manages the required security groups for inter-app communication in VPCOnly mode. Required when CreateDomain.AppNetworkAccessType is VPCOnly and DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is provided. If setting up the domain for use with RStudio, this value must be set to Service.
The parameter by which to sort the results. The default is CreationTime.
', ], ], 'AppSpecification' => [ 'base' => 'Configuration to run a processing job in a specified container image.
', 'refs' => [ 'CreateProcessingJobRequest$AppSpecification' => 'Configures the processing job to run a specified Docker container image.
', 'DescribeProcessingJobResponse$AppSpecification' => 'Configures the processing job to run a specified container image.
', 'ProcessingJob$AppSpecification' => NULL, ], ], 'AppStatus' => [ 'base' => NULL, 'refs' => [ 'AppDetails$Status' => 'The status.
', 'DescribeAppResponse$Status' => 'The status.
', ], ], 'AppType' => [ 'base' => NULL, 'refs' => [ 'AppDetails$AppType' => 'The type of app.
', 'CreateAppRequest$AppType' => 'The type of app.
', 'DeleteAppRequest$AppType' => 'The type of app.
', 'DescribeAppRequest$AppType' => 'The type of app.
', 'DescribeAppResponse$AppType' => 'The type of app.
', 'HiddenAppTypesList$member' => NULL, 'SpaceSettings$AppType' => 'The type of app created within the space.
If using the UpdateSpace API, you can\'t change the app type of your space by specifying a different value for this field.
', 'SpaceSettingsSummary$AppType' => 'The type of app created within the space.
', ], ], 'ApprovalDescription' => [ 'base' => NULL, 'refs' => [ 'DescribeModelPackageOutput$ApprovalDescription' => 'A description provided for the model approval.
', 'ModelPackage$ApprovalDescription' => 'A description provided when the model approval is set.
', 'UpdateModelPackageInput$ApprovalDescription' => 'A description for the approval status of the model.
', ], ], 'ArnOrName' => [ 'base' => NULL, 'refs' => [ 'AlgorithmSpecification$AlgorithmName' => 'The name of the algorithm resource to use for the training job. This must be an algorithm resource that you created or subscribe to on Amazon Web Services Marketplace.
You must specify either the algorithm name to the AlgorithmName parameter or the image URI of the algorithm container to the TrainingImage parameter.
Note that the AlgorithmName parameter is mutually exclusive with the TrainingImage parameter. If you specify a value for the AlgorithmName parameter, you can\'t specify a value for TrainingImage, and vice versa.
If you specify values for both parameters, the training job might break; if you don\'t specify any value for both parameters, the training job might raise a null error.
The name or Amazon Resource Name (ARN) of the model package group that this model version belongs to.
This parameter is required for versioned models, and does not apply to unversioned models.
', 'DeleteModelPackageGroupInput$ModelPackageGroupName' => 'The name of the model group to delete.
', 'DescribeAlgorithmInput$AlgorithmName' => 'The name of the algorithm to describe.
', 'DescribeModelPackageGroupInput$ModelPackageGroupName' => 'The name of the model group to describe.
', 'HyperParameterAlgorithmSpecification$AlgorithmName' => 'The name of the resource algorithm to use for the hyperparameter tuning job. If you specify a value for this parameter, do not specify a value for TrainingImage.
A filter that returns only model versions that belong to the specified model group.
', 'SourceAlgorithm$AlgorithmName' => 'The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.
', ], ], 'ArtifactArn' => [ 'base' => NULL, 'refs' => [ 'ArtifactSummary$ArtifactArn' => 'The Amazon Resource Name (ARN) of the artifact.
', 'CreateArtifactResponse$ArtifactArn' => 'The Amazon Resource Name (ARN) of the artifact.
', 'DeleteArtifactRequest$ArtifactArn' => 'The Amazon Resource Name (ARN) of the artifact to delete.
', 'DeleteArtifactResponse$ArtifactArn' => 'The Amazon Resource Name (ARN) of the artifact.
', 'DescribeArtifactRequest$ArtifactArn' => 'The Amazon Resource Name (ARN) of the artifact to describe.
', 'DescribeArtifactResponse$ArtifactArn' => 'The Amazon Resource Name (ARN) of the artifact.
', 'UpdateArtifactRequest$ArtifactArn' => 'The Amazon Resource Name (ARN) of the artifact to update.
', 'UpdateArtifactResponse$ArtifactArn' => 'The Amazon Resource Name (ARN) of the artifact.
', ], ], 'ArtifactDigest' => [ 'base' => NULL, 'refs' => [ 'ModelDigests$ArtifactDigest' => 'Provides a hash value that uniquely identifies the stored model artifacts.
', ], ], 'ArtifactProperties' => [ 'base' => NULL, 'refs' => [ 'CreateArtifactRequest$Properties' => 'A list of properties to add to the artifact.
', 'UpdateArtifactRequest$Properties' => 'The new list of properties. Overwrites the current property list.
', ], ], 'ArtifactPropertyValue' => [ 'base' => NULL, 'refs' => [ 'ArtifactProperties$value' => NULL, ], ], 'ArtifactSource' => [ 'base' => 'A structure describing the source of an artifact.
', 'refs' => [ 'ArtifactSummary$Source' => 'The source of the artifact.
', 'CreateArtifactRequest$Source' => 'The ID, ID type, and URI of the source.
', 'DeleteArtifactRequest$Source' => 'The URI of the source.
', 'DescribeArtifactResponse$Source' => 'The source of the artifact.
', ], ], 'ArtifactSourceIdType' => [ 'base' => NULL, 'refs' => [ 'ArtifactSourceType$SourceIdType' => 'The type of ID.
', ], ], 'ArtifactSourceType' => [ 'base' => 'The ID and ID type of an artifact source.
', 'refs' => [ 'ArtifactSourceTypes$member' => NULL, ], ], 'ArtifactSourceTypes' => [ 'base' => NULL, 'refs' => [ 'ArtifactSource$SourceTypes' => 'A list of source types.
', ], ], 'ArtifactSummaries' => [ 'base' => NULL, 'refs' => [ 'ListArtifactsResponse$ArtifactSummaries' => 'A list of artifacts and their properties.
', ], ], 'ArtifactSummary' => [ 'base' => 'Lists a summary of the properties of an artifact. An artifact represents a URI addressable object or data. Some examples are a dataset and a model.
', 'refs' => [ 'ArtifactSummaries$member' => NULL, ], ], 'AssemblyType' => [ 'base' => NULL, 'refs' => [ 'TransformOutput$AssembleWith' => 'Defines how to assemble the results of the transform job as a single S3 object. Choose a format that is most convenient to you. To concatenate the results in binary format, specify None. To add a newline character at the end of every transformed record, specify Line.
The type of association. The following are suggested uses for each type. Amazon SageMaker places no restrictions on their use.
ContributedTo - The source contributed to the destination or had a part in enabling the destination. For example, the training data contributed to the training job.
AssociatedWith - The source is connected to the destination. For example, an approval workflow is associated with a model deployment.
DerivedFrom - The destination is a modification of the source. For example, a digest output of a channel input for a processing job is derived from the original inputs.
Produced - The source generated the destination. For example, a training job produced a model artifact.
The type of the association.
', 'Edge$AssociationType' => 'The type of the Association(Edge) between the source and destination. For example ContributedTo, Produced, or DerivedFrom.
A filter that returns only associations of the specified type.
', ], ], 'AssociationEntityArn' => [ 'base' => NULL, 'refs' => [ 'AddAssociationRequest$SourceArn' => 'The ARN of the source.
', 'AddAssociationRequest$DestinationArn' => 'The Amazon Resource Name (ARN) of the destination.
', 'AddAssociationResponse$SourceArn' => 'The ARN of the source.
', 'AddAssociationResponse$DestinationArn' => 'The Amazon Resource Name (ARN) of the destination.
', 'AssociationSummary$SourceArn' => 'The ARN of the source.
', 'AssociationSummary$DestinationArn' => 'The Amazon Resource Name (ARN) of the destination.
', 'DeleteAssociationRequest$SourceArn' => 'The ARN of the source.
', 'DeleteAssociationRequest$DestinationArn' => 'The Amazon Resource Name (ARN) of the destination.
', 'DeleteAssociationResponse$SourceArn' => 'The ARN of the source.
', 'DeleteAssociationResponse$DestinationArn' => 'The Amazon Resource Name (ARN) of the destination.
', 'Edge$SourceArn' => 'The Amazon Resource Name (ARN) of the source lineage entity of the directed edge.
', 'Edge$DestinationArn' => 'The Amazon Resource Name (ARN) of the destination lineage entity of the directed edge.
', 'ListAssociationsRequest$SourceArn' => 'A filter that returns only associations with the specified source ARN.
', 'ListAssociationsRequest$DestinationArn' => 'A filter that returns only associations with the specified destination Amazon Resource Name (ARN).
', 'QueryLineageStartArns$member' => NULL, 'Vertex$Arn' => 'The Amazon Resource Name (ARN) of the lineage entity resource.
', ], ], 'AssociationSummaries' => [ 'base' => NULL, 'refs' => [ 'ListAssociationsResponse$AssociationSummaries' => 'A list of associations and their properties.
', ], ], 'AssociationSummary' => [ 'base' => 'Lists a summary of the properties of an association. An association is an entity that links other lineage or experiment entities. An example would be an association between a training job and a model.
', 'refs' => [ 'AssociationSummaries$member' => NULL, ], ], 'AssumableRoleArns' => [ 'base' => NULL, 'refs' => [ 'EmrSettings$AssumableRoleArns' => 'An array of Amazon Resource Names (ARNs) of the IAM roles that the execution role of SageMaker can assume for performing operations or tasks related to Amazon EMR clusters or Amazon EMR Serverless applications. These roles define the permissions and access policies required when performing Amazon EMR-related operations, such as listing, connecting to, or terminating Amazon EMR clusters or Amazon EMR Serverless applications. They are typically used in cross-account access scenarios, where the Amazon EMR resources (clusters or serverless applications) are located in a different Amazon Web Services account than the SageMaker domain.
', ], ], 'AsyncInferenceClientConfig' => [ 'base' => 'Configures the behavior of the client used by SageMaker to interact with the model container during asynchronous inference.
', 'refs' => [ 'AsyncInferenceConfig$ClientConfig' => 'Configures the behavior of the client used by SageMaker to interact with the model container during asynchronous inference.
', ], ], 'AsyncInferenceConfig' => [ 'base' => 'Specifies configuration for how an endpoint performs asynchronous inference.
', 'refs' => [ 'CreateEndpointConfigInput$AsyncInferenceConfig' => 'Specifies configuration for how an endpoint performs asynchronous inference. This is a required field in order for your Endpoint to be invoked using InvokeEndpointAsync.
', 'DescribeEndpointConfigOutput$AsyncInferenceConfig' => 'Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
Specifies the configuration for notifications of inference results for asynchronous inference.
', 'refs' => [ 'AsyncInferenceOutputConfig$NotificationConfig' => 'Specifies the configuration for notifications of inference results for asynchronous inference.
', ], ], 'AsyncInferenceOutputConfig' => [ 'base' => 'Specifies the configuration for asynchronous inference invocation outputs.
', 'refs' => [ 'AsyncInferenceConfig$OutputConfig' => 'Specifies the configuration for asynchronous inference invocation outputs.
', ], ], 'AsyncNotificationTopicTypeList' => [ 'base' => NULL, 'refs' => [ 'AsyncInferenceNotificationConfig$IncludeInferenceResponseIn' => 'The Amazon SNS topics where you want the inference response to be included.
The inference response is included only if the response size is less than or equal to 128 KB.
The name of the data catalog used in Athena query execution.
', 'refs' => [ 'AthenaDatasetDefinition$Catalog' => NULL, ], ], 'AthenaDatabase' => [ 'base' => 'The name of the database used in the Athena query execution.
', 'refs' => [ 'AthenaDatasetDefinition$Database' => NULL, ], ], 'AthenaDatasetDefinition' => [ 'base' => 'Configuration for Athena Dataset Definition input.
', 'refs' => [ 'DatasetDefinition$AthenaDatasetDefinition' => NULL, ], ], 'AthenaQueryString' => [ 'base' => 'The SQL query statements, to be executed.
', 'refs' => [ 'AthenaDatasetDefinition$QueryString' => NULL, ], ], 'AthenaResultCompressionType' => [ 'base' => 'The compression used for Athena query results.
', 'refs' => [ 'AthenaDatasetDefinition$OutputCompression' => NULL, ], ], 'AthenaResultFormat' => [ 'base' => 'The data storage format for Athena query results.
', 'refs' => [ 'AthenaDatasetDefinition$OutputFormat' => NULL, ], ], 'AthenaWorkGroup' => [ 'base' => 'The name of the workgroup in which the Athena query is being started.
', 'refs' => [ 'AthenaDatasetDefinition$WorkGroup' => NULL, ], ], 'AttributeName' => [ 'base' => NULL, 'refs' => [ 'AttributeNames$member' => NULL, ], ], 'AttributeNames' => [ 'base' => NULL, 'refs' => [ 'S3DataSource$AttributeNames' => 'A list of one or more attribute names to use that are found in a specified augmented manifest file.
', ], ], 'AuthMode' => [ 'base' => NULL, 'refs' => [ 'CreateDomainRequest$AuthMode' => 'The mode of authentication that members use to access the domain.
', 'DescribeDomainResponse$AuthMode' => 'The domain\'s authentication mode.
', ], ], 'AuthenticationRequestExtraParams' => [ 'base' => NULL, 'refs' => [ 'OidcConfig$AuthenticationRequestExtraParams' => 'A string to string map of identifiers specific to the custom identity provider (IdP) being used.
', 'OidcConfigForResponse$AuthenticationRequestExtraParams' => 'A string to string map of identifiers specific to the custom identity provider (IdP) being used.
', ], ], 'AuthenticationRequestExtraParamsKey' => [ 'base' => NULL, 'refs' => [ 'AuthenticationRequestExtraParams$key' => NULL, ], ], 'AuthenticationRequestExtraParamsValue' => [ 'base' => NULL, 'refs' => [ 'AuthenticationRequestExtraParams$value' => NULL, ], ], 'AutoGenerateEndpointName' => [ 'base' => NULL, 'refs' => [ 'ModelDeployConfig$AutoGenerateEndpointName' => 'Set to True to automatically generate an endpoint name for a one-click Autopilot model deployment; set to False otherwise. The default value is False.
If you set AutoGenerateEndpointName to True, do not specify the EndpointName; otherwise a 400 error is thrown.
The selection of algorithms trained on your dataset to generate the model candidates for an Autopilot job.
', 'refs' => [ 'AutoMLAlgorithmsConfig$member' => NULL, ], ], 'AutoMLAlgorithms' => [ 'base' => NULL, 'refs' => [ 'AutoMLAlgorithmConfig$AutoMLAlgorithms' => 'The selection of algorithms trained on your dataset to generate the model candidates for an Autopilot job.
For the tabular problem type TabularJobConfig:
Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (ENSEMBLING or HYPERPARAMETER_TUNING). Choose a minimum of 1 algorithm.
In ENSEMBLING mode:
"catboost"
"extra-trees"
"fastai"
"lightgbm"
"linear-learner"
"nn-torch"
"randomforest"
"xgboost"
In HYPERPARAMETER_TUNING mode:
"linear-learner"
"mlp"
"xgboost"
For the time-series forecasting problem type TimeSeriesForecastingJobConfig:
Choose your algorithms from this list.
"cnn-qr"
"deepar"
"prophet"
"arima"
"npts"
"ets"
Stores the configuration information for the selection of algorithms trained on tabular data.
The list of available algorithms to choose from depends on the training mode set in TabularJobConfig.Mode .
AlgorithmsConfig should not be set if the training mode is set on AUTO.
When AlgorithmsConfig is provided, one AutoMLAlgorithms attribute must be set and one only.
If the list of algorithms provided as values for AutoMLAlgorithms is empty, CandidateGenerationConfig uses the full set of algorithms for the given training mode.
When AlgorithmsConfig is not provided, CandidateGenerationConfig uses the full set of algorithms for the given training mode.
For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.
For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.
', 'CandidateGenerationConfig$AlgorithmsConfig' => 'Your Autopilot job trains a default set of algorithms on your dataset. For tabular and time-series data, you can customize the algorithm list by selecting a subset of algorithms for your problem type.
AlgorithmsConfig stores the customized selection of algorithms to train on your data.
For the tabular problem type TabularJobConfig, the list of available algorithms to choose from depends on the training mode set in AutoMLJobConfig.Mode .
AlgorithmsConfig should not be set when the training mode AutoMLJobConfig.Mode is set to AUTO.
When AlgorithmsConfig is provided, one AutoMLAlgorithms attribute must be set and one only.
If the list of algorithms provided as values for AutoMLAlgorithms is empty, CandidateGenerationConfig uses the full set of algorithms for the given training mode.
When AlgorithmsConfig is not provided, CandidateGenerationConfig uses the full set of algorithms for the given training mode.
For the list of all algorithms per training mode, see AlgorithmConfig.
For more information on each algorithm, see the Algorithm support section in the Autopilot developer guide.
For the time-series forecasting problem type TimeSeriesForecastingJobConfig, choose your algorithms from the list provided in AlgorithmConfig.
For more information on each algorithm, see the Algorithms support for time-series forecasting section in the Autopilot developer guide.
When AlgorithmsConfig is provided, one AutoMLAlgorithms attribute must be set and one only.
If the list of algorithms provided as values for AutoMLAlgorithms is empty, CandidateGenerationConfig uses the full set of algorithms for time-series forecasting.
When AlgorithmsConfig is not provided, CandidateGenerationConfig uses the full set of algorithms for time-series forecasting.
Information about a candidate produced by an AutoML training job, including its status, steps, and other properties.
', 'refs' => [ 'AutoMLCandidates$member' => NULL, 'DescribeAutoMLJobResponse$BestCandidate' => 'The best model candidate selected by SageMaker AI Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.
', 'DescribeAutoMLJobV2Response$BestCandidate' => 'Information about the candidate produced by an AutoML training job V2, including its status, steps, and other properties.
', ], ], 'AutoMLCandidateGenerationConfig' => [ 'base' => 'Stores the configuration information for how a candidate is generated (optional).
', 'refs' => [ 'AutoMLJobConfig$CandidateGenerationConfig' => 'The configuration for generating a candidate for an AutoML job (optional).
', ], ], 'AutoMLCandidateStep' => [ 'base' => 'Information about the steps for a candidate and what step it is working on.
', 'refs' => [ 'CandidateSteps$member' => NULL, ], ], 'AutoMLCandidates' => [ 'base' => NULL, 'refs' => [ 'ListCandidatesForAutoMLJobResponse$Candidates' => 'Summaries about the AutoMLCandidates.
A channel is a named input source that training algorithms can consume. The validation dataset size is limited to less than 2 GB. The training dataset size must be less than 100 GB. For more information, see Channel.
A validation dataset must contain the same headers as the training dataset.
The channel type (optional) is an enum string. The default value is training. Channels for training and validation must share the same ContentType and TargetAttributeName. For information on specifying training and validation channel types, see How to specify training and validation datasets.
The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType
The type of channel defaults to training for the time-series forecasting problem type.
This data type is intended for use exclusively by SageMaker Canvas and cannot be used in other contexts at the moment.
Specifies the compute configuration for an AutoML job V2.
', 'refs' => [ 'CreateAutoMLJobV2Request$AutoMLComputeConfig' => 'Specifies the compute configuration for the AutoML job V2.
', 'DescribeAutoMLJobV2Response$AutoMLComputeConfig' => 'The compute configuration used for the AutoML job V2.
', ], ], 'AutoMLContainerDefinition' => [ 'base' => 'A list of container definitions that describe the different containers that make up an AutoML candidate. For more information, see ContainerDefinition.
', 'refs' => [ 'AutoMLContainerDefinitions$member' => NULL, ], ], 'AutoMLContainerDefinitions' => [ 'base' => NULL, 'refs' => [ 'AutoMLCandidate$InferenceContainers' => 'Information about the recommended inference container definitions.
', 'AutoMLInferenceContainerDefinitions$value' => 'Information about the recommended inference container definitions.
', ], ], 'AutoMLDataSource' => [ 'base' => 'The data source for the Autopilot job.
', 'refs' => [ 'AutoMLChannel$DataSource' => 'The data source for an AutoML channel.
', 'AutoMLJobChannel$DataSource' => 'The data source for an AutoML channel (Required).
', ], ], 'AutoMLDataSplitConfig' => [ 'base' => 'This structure specifies how to split the data into train and validation datasets.
The validation and training datasets must contain the same headers. For jobs created by calling CreateAutoMLJob, the validation dataset must be less than 2 GB in size.
The configuration for splitting the input training dataset.
Type: AutoMLDataSplitConfig
', 'CreateAutoMLJobV2Request$DataSplitConfig' => 'This structure specifies how to split the data into train and validation datasets.
The validation and training datasets must contain the same headers. For jobs created by calling CreateAutoMLJob, the validation dataset must be less than 2 GB in size.
This attribute must not be set for the time-series forecasting problem type, as Autopilot automatically splits the input dataset into training and validation sets.
Returns the configuration settings of how the data are split into train and validation datasets.
', ], ], 'AutoMLFailureReason' => [ 'base' => NULL, 'refs' => [ 'AutoMLCandidate$FailureReason' => 'The failure reason.
', 'AutoMLJobSummary$FailureReason' => 'The failure reason of an AutoML job.
', 'AutoMLPartialFailureReason$PartialFailureMessage' => 'The message containing the reason for a partial failure of an AutoML job.
', 'DescribeAutoMLJobResponse$FailureReason' => 'Returns the failure reason for an AutoML job, when applicable.
', 'DescribeAutoMLJobV2Response$FailureReason' => 'Returns the reason for the failure of the AutoML job V2, when applicable.
', ], ], 'AutoMLInferenceContainerDefinitions' => [ 'base' => 'The mapping of all supported processing unit (CPU, GPU, etc...) to inference container definitions for the candidate. This field is populated for the V2 API only (for example, for jobs created by calling CreateAutoMLJobV2).
The mapping of all supported processing unit (CPU, GPU, etc...) to inference container definitions for the candidate. This field is populated for the AutoML jobs V2 (for example, for jobs created by calling CreateAutoMLJobV2) related to image or text classification problem types only.
An array of channel objects that describes the input data and its location. Each channel is a named input source. Similar to InputDataConfig supported by HyperParameterTrainingJobDefinition. Format(s) supported: CSV, Parquet. A minimum of 500 rows is required for the training dataset. There is not a minimum number of rows required for the validation dataset.
Returns the input data configuration for the AutoML job.
', ], ], 'AutoMLJobArn' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the AutoML job.
', 'AutoMLJobSummary$AutoMLJobArn' => 'The ARN of the AutoML job.
', 'CreateAutoMLJobResponse$AutoMLJobArn' => 'The unique ARN assigned to the AutoML job when it is created.
', 'CreateAutoMLJobV2Response$AutoMLJobArn' => 'The unique ARN assigned to the AutoMLJob when it is created.
', 'DescribeAutoMLJobResponse$AutoMLJobArn' => 'Returns the ARN of the AutoML job.
', 'DescribeAutoMLJobV2Response$AutoMLJobArn' => 'Returns the Amazon Resource Name (ARN) of the AutoML job V2.
', 'DescribeProcessingJobResponse$AutoMLJobArn' => 'The ARN of an AutoML job associated with this processing job.
', 'DescribeTrainingJobResponse$AutoMLJobArn' => 'The Amazon Resource Name (ARN) of an AutoML job.
', 'DescribeTransformJobResponse$AutoMLJobArn' => 'The Amazon Resource Name (ARN) of the AutoML transform job.
', 'ProcessingJob$AutoMLJobArn' => 'The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.
', 'TrainingJob$AutoMLJobArn' => 'The Amazon Resource Name (ARN) of the job.
', 'TransformJob$AutoMLJobArn' => 'The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
', ], ], 'AutoMLJobArtifacts' => [ 'base' => 'The artifacts that are generated during an AutoML job.
', 'refs' => [ 'DescribeAutoMLJobResponse$AutoMLJobArtifacts' => 'Returns information on the job\'s artifacts found in AutoMLJobArtifacts.
A channel is a named input source that training algorithms can consume. This channel is used for AutoML jobs V2 (jobs created by calling CreateAutoMLJobV2).
', 'refs' => [ 'AutoMLJobInputDataConfig$member' => NULL, ], ], 'AutoMLJobCompletionCriteria' => [ 'base' => 'How long a job is allowed to run, or how many candidates a job is allowed to generate.
', 'refs' => [ 'AutoMLJobConfig$CompletionCriteria' => 'How long an AutoML job is allowed to run, or how many candidates a job is allowed to generate.
', 'AutoMLResolvedAttributes$CompletionCriteria' => NULL, 'ImageClassificationJobConfig$CompletionCriteria' => 'How long a job is allowed to run, or how many candidates a job is allowed to generate.
', 'ResolvedAttributes$CompletionCriteria' => NULL, 'TabularJobConfig$CompletionCriteria' => NULL, 'TextClassificationJobConfig$CompletionCriteria' => 'How long a job is allowed to run, or how many candidates a job is allowed to generate.
', 'TextGenerationJobConfig$CompletionCriteria' => 'How long a fine-tuning job is allowed to run. For TextGenerationJobConfig problem types, the MaxRuntimePerTrainingJobInSeconds attribute of AutoMLJobCompletionCriteria defaults to 72h (259200s).
A collection of settings used for an AutoML job.
', 'refs' => [ 'CreateAutoMLJobRequest$AutoMLJobConfig' => 'A collection of settings used to configure an AutoML job.
', 'DescribeAutoMLJobResponse$AutoMLJobConfig' => 'Returns the configuration for the AutoML job.
', ], ], 'AutoMLJobInputDataConfig' => [ 'base' => NULL, 'refs' => [ 'CreateAutoMLJobV2Request$AutoMLJobInputDataConfig' => 'An array of channel objects describing the input data and their location. Each channel is a named input source. Similar to the InputDataConfig attribute in the CreateAutoMLJob input parameters. The supported formats depend on the problem type:
For tabular problem types: S3Prefix, ManifestFile.
For image classification: S3Prefix, ManifestFile, AugmentedManifestFile.
For text classification: S3Prefix.
For time-series forecasting: S3Prefix.
For text generation (LLMs fine-tuning): S3Prefix.
Returns an array of channel objects describing the input data and their location.
', ], ], 'AutoMLJobName' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobSummary$AutoMLJobName' => 'The name of the AutoML job you are requesting.
', 'CreateAutoMLJobRequest$AutoMLJobName' => 'Identifies an Autopilot job. The name must be unique to your account and is case insensitive.
', 'CreateAutoMLJobV2Request$AutoMLJobName' => 'Identifies an Autopilot job. The name must be unique to your account and is case insensitive.
', 'DescribeAutoMLJobRequest$AutoMLJobName' => 'Requests information about an AutoML job using its unique name.
', 'DescribeAutoMLJobResponse$AutoMLJobName' => 'Returns the name of the AutoML job.
', 'DescribeAutoMLJobV2Request$AutoMLJobName' => 'Requests information about an AutoML job V2 using its unique name.
', 'DescribeAutoMLJobV2Response$AutoMLJobName' => 'Returns the name of the AutoML job V2.
', 'ListCandidatesForAutoMLJobRequest$AutoMLJobName' => 'List the candidates created for the job by providing the job\'s name.
', 'StopAutoMLJobRequest$AutoMLJobName' => 'The name of the object you are requesting.
', ], ], 'AutoMLJobObjective' => [ 'base' => 'Specifies a metric to minimize or maximize as the objective of an AutoML job.
', 'refs' => [ 'AutoMLResolvedAttributes$AutoMLJobObjective' => NULL, 'CreateAutoMLJobRequest$AutoMLJobObjective' => 'Specifies a metric to minimize or maximize as the objective of a job. If not specified, the default objective metric depends on the problem type. See AutoMLJobObjective for the default values.
', 'CreateAutoMLJobV2Request$AutoMLJobObjective' => 'Specifies a metric to minimize or maximize as the objective of a job. If not specified, the default objective metric depends on the problem type. For the list of default values per problem type, see AutoMLJobObjective.
For tabular problem types: You must either provide both the AutoMLJobObjective and indicate the type of supervised learning problem in AutoMLProblemTypeConfig (TabularJobConfig.ProblemType), or none at all.
For text generation problem types (LLMs fine-tuning): Fine-tuning language models in Autopilot does not require setting the AutoMLJobObjective field. Autopilot fine-tunes LLMs without requiring multiple candidates to be trained and evaluated. Instead, using your dataset, Autopilot directly fine-tunes your target model to enhance a default objective metric, the cross-entropy loss. After fine-tuning a language model, you can evaluate the quality of its generated text using different metrics. For a list of the available metrics, see Metrics for fine-tuning LLMs in Autopilot.
Returns the job\'s objective.
', 'DescribeAutoMLJobV2Response$AutoMLJobObjective' => 'Returns the job\'s objective.
', 'ResolvedAttributes$AutoMLJobObjective' => NULL, ], ], 'AutoMLJobObjectiveType' => [ 'base' => NULL, 'refs' => [ 'FinalAutoMLJobObjectiveMetric$Type' => 'The type of metric with the best result.
', ], ], 'AutoMLJobSecondaryStatus' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobSummary$AutoMLJobSecondaryStatus' => 'The secondary status of the AutoML job.
', 'DescribeAutoMLJobResponse$AutoMLJobSecondaryStatus' => 'Returns the secondary status of the AutoML job.
', 'DescribeAutoMLJobV2Response$AutoMLJobSecondaryStatus' => 'Returns the secondary status of the AutoML job V2.
', ], ], 'AutoMLJobStatus' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobSummary$AutoMLJobStatus' => 'The status of the AutoML job.
', 'DescribeAutoMLJobResponse$AutoMLJobStatus' => 'Returns the status of the AutoML job.
', 'DescribeAutoMLJobV2Response$AutoMLJobStatus' => 'Returns the status of the AutoML job V2.
', 'ListAutoMLJobsRequest$StatusEquals' => 'Request a list of jobs, using a filter for status.
', ], ], 'AutoMLJobStepMetadata' => [ 'base' => 'Metadata for an AutoML job step.
', 'refs' => [ 'PipelineExecutionStepMetadata$AutoMLJob' => 'The Amazon Resource Name (ARN) of the AutoML job that was run by this step.
', ], ], 'AutoMLJobSummaries' => [ 'base' => NULL, 'refs' => [ 'ListAutoMLJobsResponse$AutoMLJobSummaries' => 'Returns a summary list of jobs.
', ], ], 'AutoMLJobSummary' => [ 'base' => 'Provides a summary about an AutoML job.
', 'refs' => [ 'AutoMLJobSummaries$member' => NULL, ], ], 'AutoMLMaxResults' => [ 'base' => NULL, 'refs' => [ 'ListAutoMLJobsRequest$MaxResults' => 'Request a list of jobs up to a specified limit.
', ], ], 'AutoMLMaxResultsForTrials' => [ 'base' => NULL, 'refs' => [ 'ListCandidatesForAutoMLJobRequest$MaxResults' => 'List the job\'s candidates up to a specified limit.
', ], ], 'AutoMLMetricEnum' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobObjective$MetricName' => 'The name of the objective metric used to measure the predictive quality of a machine learning system. During training, the model\'s parameters are updated iteratively to optimize its performance based on the feedback provided by the objective metric when evaluating the model on the validation dataset.
The list of available metrics supported by Autopilot and the default metric applied when you do not specify a metric name explicitly depend on the problem type.
For tabular problem types:
List of available metrics:
Regression: MAE, MSE, R2, RMSE
Binary classification: Accuracy, AUC, BalancedAccuracy, F1, Precision, Recall
Multiclass classification: Accuracy, BalancedAccuracy, F1macro, PrecisionMacro, RecallMacro
For a description of each metric, see Autopilot metrics for classification and regression.
Default objective metrics:
Regression: MSE.
Binary classification: F1.
Multiclass classification: Accuracy.
For image or text classification problem types:
List of available metrics: Accuracy
For a description of each metric, see Autopilot metrics for text and image classification.
Default objective metrics: Accuracy
For time-series forecasting problem types:
List of available metrics: RMSE, wQL, Average wQL, MASE, MAPE, WAPE
For a description of each metric, see Autopilot metrics for time-series forecasting.
Default objective metrics: AverageWeightedQuantileLoss
For text generation problem types (LLMs fine-tuning): Fine-tuning language models in Autopilot does not require setting the AutoMLJobObjective field. Autopilot fine-tunes LLMs without requiring multiple candidates to be trained and evaluated. Instead, using your dataset, Autopilot directly fine-tunes your target model to enhance a default objective metric, the cross-entropy loss. After fine-tuning a language model, you can evaluate the quality of its generated text using different metrics. For a list of the available metrics, see Metrics for fine-tuning LLMs in Autopilot.
The name of the metric with the best result. For a description of the possible objective metrics, see AutoMLJobObjective$MetricName.
', 'FinalAutoMLJobObjectiveMetric$StandardMetricName' => 'The name of the standard metric. For a description of the standard metrics, see Autopilot candidate metrics.
', 'MetricDatum$MetricName' => 'The name of the metric.
', ], ], 'AutoMLMetricExtendedEnum' => [ 'base' => NULL, 'refs' => [ 'MetricDatum$StandardMetricName' => 'The name of the standard metric.
For definitions of the standard metrics, see Autopilot candidate metrics .
The method that Autopilot uses to train the data. You can either specify the mode manually or let Autopilot choose for you based on the dataset size by selecting AUTO. In AUTO mode, Autopilot chooses ENSEMBLING for datasets smaller than 100 MB, and HYPERPARAMETER_TUNING for larger ones.
The ENSEMBLING mode uses a multi-stack ensemble model to predict classification and regression tasks directly from your dataset. This machine learning mode combines several base models to produce an optimal predictive model. It then uses a stacking ensemble method to combine predictions from contributing members. A multi-stack ensemble model can provide better performance over a single model by combining the predictive capabilities of multiple models. See Autopilot algorithm support for a list of algorithms supported by ENSEMBLING mode.
The HYPERPARAMETER_TUNING (HPO) mode uses the best hyperparameters to train the best version of a model. HPO automatically selects an algorithm for the type of problem you want to solve. Then HPO finds the best hyperparameters according to your objective metric. See Autopilot algorithm support for a list of algorithms supported by HYPERPARAMETER_TUNING mode.
The method that Autopilot uses to train the data. You can either specify the mode manually or let Autopilot choose for you based on the dataset size by selecting AUTO. In AUTO mode, Autopilot chooses ENSEMBLING for datasets smaller than 100 MB, and HYPERPARAMETER_TUNING for larger ones.
The ENSEMBLING mode uses a multi-stack ensemble model to predict classification and regression tasks directly from your dataset. This machine learning mode combines several base models to produce an optimal predictive model. It then uses a stacking ensemble method to combine predictions from contributing members. A multi-stack ensemble model can provide better performance over a single model by combining the predictive capabilities of multiple models. See Autopilot algorithm support for a list of algorithms supported by ENSEMBLING mode.
The HYPERPARAMETER_TUNING (HPO) mode uses the best hyperparameters to train the best version of a model. HPO automatically selects an algorithm for the type of problem you want to solve. Then HPO finds the best hyperparameters according to your objective metric. See Autopilot algorithm support for a list of algorithms supported by HYPERPARAMETER_TUNING mode.
Request a list of jobs, using a search filter for name.
', ], ], 'AutoMLOutputDataConfig' => [ 'base' => 'The output data configuration.
', 'refs' => [ 'CreateAutoMLJobRequest$OutputDataConfig' => 'Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job. Format(s) supported: CSV.
', 'CreateAutoMLJobV2Request$OutputDataConfig' => 'Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job.
', 'DescribeAutoMLJobResponse$OutputDataConfig' => 'Returns the job\'s output data config.
', 'DescribeAutoMLJobV2Response$OutputDataConfig' => 'Returns the job\'s output data config.
', ], ], 'AutoMLPartialFailureReason' => [ 'base' => 'The reason for a partial failure of an AutoML job.
', 'refs' => [ 'AutoMLPartialFailureReasons$member' => NULL, ], ], 'AutoMLPartialFailureReasons' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobSummary$PartialFailureReasons' => 'The list of reasons for partial failures within an AutoML job.
', 'DescribeAutoMLJobResponse$PartialFailureReasons' => 'Returns a list of reasons for partial failures within an AutoML job.
', 'DescribeAutoMLJobV2Response$PartialFailureReasons' => 'Returns a list of reasons for partial failures within an AutoML job V2.
', ], ], 'AutoMLProblemTypeConfig' => [ 'base' => 'A collection of settings specific to the problem type used to configure an AutoML job V2. There must be one and only one config of the following type.
', 'refs' => [ 'CreateAutoMLJobV2Request$AutoMLProblemTypeConfig' => 'Defines the configuration settings of one of the supported problem types.
', 'DescribeAutoMLJobV2Response$AutoMLProblemTypeConfig' => 'Returns the configuration settings of the problem type set for the AutoML job V2.
', ], ], 'AutoMLProblemTypeConfigName' => [ 'base' => NULL, 'refs' => [ 'DescribeAutoMLJobV2Response$AutoMLProblemTypeConfigName' => 'Returns the name of the problem type configuration set for the AutoML job V2.
', ], ], 'AutoMLProblemTypeResolvedAttributes' => [ 'base' => 'Stores resolved attributes specific to the problem type of an AutoML job V2.
', 'refs' => [ 'AutoMLResolvedAttributes$AutoMLProblemTypeResolvedAttributes' => 'Defines the resolved attributes specific to a problem type.
', ], ], 'AutoMLProcessingUnit' => [ 'base' => NULL, 'refs' => [ 'AutoMLInferenceContainerDefinitions$key' => 'Processing unit for an inference container. Currently Autopilot only supports CPU or GPU.
The resolved attributes used to configure an AutoML job V2.
', 'refs' => [ 'DescribeAutoMLJobV2Response$ResolvedAttributes' => 'Returns the resolved attributes used by the AutoML job V2.
', ], ], 'AutoMLS3DataSource' => [ 'base' => 'Describes the Amazon S3 data source.
', 'refs' => [ 'AutoMLDataSource$S3DataSource' => 'The Amazon S3 location of the input data.
', ], ], 'AutoMLS3DataType' => [ 'base' => NULL, 'refs' => [ 'AutoMLS3DataSource$S3DataType' => 'The data type.
If you choose S3Prefix, S3Uri identifies a key name prefix. SageMaker AI uses all objects that match the specified key name prefix for model training.
The S3Prefix should have the following format:
s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE
If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want SageMaker AI to use for model training.
A ManifestFile should have the format shown below:
[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"},
"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1",
"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",
... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ]
If you choose AugmentedManifestFile, S3Uri identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. AugmentedManifestFile is available for V2 API jobs only (for example, for jobs created by calling CreateAutoMLJobV2).
Here is a minimal, single-record example of an AugmentedManifestFile:
{"source-ref": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg",
"label-metadata": {"class-name": "cat" }
For more information on AugmentedManifestFile, see Provide Dataset Metadata to Training Jobs with an Augmented Manifest File.
Security options.
', 'refs' => [ 'AutoMLJobConfig$SecurityConfig' => 'The security configuration for traffic encryption or Amazon VPC settings.
', 'CreateAutoMLJobV2Request$SecurityConfig' => 'The security configuration for traffic encryption or Amazon VPC settings.
', 'DescribeAutoMLJobV2Response$SecurityConfig' => 'Returns the security configuration for traffic encryption or Amazon VPC settings.
', ], ], 'AutoMLSortBy' => [ 'base' => NULL, 'refs' => [ 'ListAutoMLJobsRequest$SortBy' => 'The parameter by which to sort the results. The default is Name.
The sort order for the results. The default is Descending.
The sort order for the results. The default is Ascending.
Indicates whether auto-mounting of an EFS volume is supported for the user profile. The DefaultAsDomain value is only supported for user profiles. Do not use the DefaultAsDomain value when setting this parameter for a domain.
SageMaker applies this setting only to private spaces that the user creates in the domain. SageMaker doesn\'t apply this setting to shared spaces.
', ], ], 'AutoParameter' => [ 'base' => 'The name and an example value of the hyperparameter that you want to use in Autotune. If Automatic model tuning (AMT) determines that your hyperparameter is eligible for Autotune, an optimal hyperparameter range is selected for you.
', 'refs' => [ 'AutoParameters$member' => NULL, ], ], 'AutoParameters' => [ 'base' => NULL, 'refs' => [ 'ParameterRanges$AutoParameters' => 'A list containing hyperparameter names and example values to be used by Autotune to determine optimal ranges for your tuning job.
', ], ], 'AutoRollbackConfig' => [ 'base' => 'Automatic rollback configuration for handling endpoint deployment failures and recovery.
', 'refs' => [ 'DeploymentConfig$AutoRollbackConfiguration' => 'Automatic rollback configuration for handling endpoint deployment failures and recovery.
', ], ], 'Autotune' => [ 'base' => 'A flag to indicate if you want to use Autotune to automatically find optimal values for the following fields:
ParameterRanges: The names and ranges of parameters that a hyperparameter tuning job can optimize.
ResourceLimits: The maximum resources that can be used for a training job. These resources include the maximum number of training jobs, the maximum runtime of a tuning job, and the maximum number of training jobs to run at the same time.
TrainingJobEarlyStoppingType: A flag that specifies whether or not to use early stopping for training jobs launched by a hyperparameter tuning job.
RetryStrategy: The number of times to retry a training job.
Strategy: Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training jobs that it launches.
ConvergenceDetected: A flag to indicate that Automatic model tuning (AMT) has detected model convergence.
Configures SageMaker Automatic model tuning (AMT) to automatically find optimal parameters for the following fields:
ParameterRanges: The names and ranges of parameters that a hyperparameter tuning job can optimize.
ResourceLimits: The maximum resources that can be used for a training job. These resources include the maximum number of training jobs, the maximum runtime of a tuning job, and the maximum number of training jobs to run at the same time.
TrainingJobEarlyStoppingType: A flag that specifies whether or not to use early stopping for training jobs launched by a hyperparameter tuning job.
RetryStrategy: The number of times to retry a training job.
Strategy: Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training jobs that it launches.
ConvergenceDetected: A flag to indicate that Automatic model tuning (AMT) has detected model convergence.
A flag to indicate if autotune is enabled for the hyperparameter tuning job.
', ], ], 'AutotuneMode' => [ 'base' => NULL, 'refs' => [ 'Autotune$Mode' => 'Set Mode to Enabled if you want to use Autotune.
The availability zone for the reserved capacity offering.
', 'ReservedCapacitySummary$AvailabilityZone' => 'The availability zone for the reserved capacity.
', ], ], 'AvailableInstanceCount' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingPlanResponse$AvailableInstanceCount' => 'The number of instances currently available for use in this training plan.
', 'TrainingPlanSummary$AvailableInstanceCount' => 'The number of instances currently available for use in this training plan.
', ], ], 'AwsManagedHumanLoopRequestSource' => [ 'base' => NULL, 'refs' => [ 'HumanLoopRequestSource$AwsManagedHumanLoopRequestSource' => 'Specifies whether Amazon Rekognition or Amazon Textract are used as the integration source. The default field settings and JSON parsing rules are different based on the integration source. Valid values:
', ], ], 'BacktestResultsLocation' => [ 'base' => NULL, 'refs' => [ 'CandidateArtifactLocations$BacktestResults' => 'The Amazon S3 prefix to the accuracy metrics and the inference results observed over the testing window. Available only for the time-series forecasting problem type.
', ], ], 'BaseModelName' => [ 'base' => NULL, 'refs' => [ 'TextGenerationJobConfig$BaseModelName' => 'The name of the base model to fine-tune. Autopilot supports fine-tuning a variety of large language models. For information on the list of supported models, see Text generation models supporting fine-tuning in Autopilot. If no BaseModelName is provided, the default model used is Falcon7BInstruct.
The name of the base model to fine-tune.
', ], ], 'BatchDataCaptureConfig' => [ 'base' => 'Configuration to control how SageMaker captures inference data for batch transform jobs.
', 'refs' => [ 'CreateTransformJobRequest$DataCaptureConfig' => 'Configuration to control how SageMaker captures inference data.
', 'DescribeTransformJobResponse$DataCaptureConfig' => 'Configuration to control how SageMaker captures inference data.
', 'TransformJob$DataCaptureConfig' => NULL, ], ], 'BatchDeleteClusterNodesError' => [ 'base' => 'Represents an error encountered when deleting a node from a SageMaker HyperPod cluster.
', 'refs' => [ 'BatchDeleteClusterNodesErrorList$member' => NULL, ], ], 'BatchDeleteClusterNodesErrorCode' => [ 'base' => NULL, 'refs' => [ 'BatchDeleteClusterNodesError$Code' => 'The error code associated with the error encountered when deleting a node.
The code provides information about the specific issue encountered, such as the node not being found, the node\'s status being invalid for deletion, or the node ID being in use by another process.
', ], ], 'BatchDeleteClusterNodesErrorList' => [ 'base' => NULL, 'refs' => [ 'BatchDeleteClusterNodesResponse$Failed' => 'A list of errors encountered when deleting the specified nodes.
', ], ], 'BatchDeleteClusterNodesRequest' => [ 'base' => NULL, 'refs' => [], ], 'BatchDeleteClusterNodesResponse' => [ 'base' => NULL, 'refs' => [], ], 'BatchDescribeModelPackageError' => [ 'base' => 'The error code and error description associated with the resource.
', 'refs' => [ 'BatchDescribeModelPackageErrorMap$value' => NULL, ], ], 'BatchDescribeModelPackageErrorMap' => [ 'base' => NULL, 'refs' => [ 'BatchDescribeModelPackageOutput$BatchDescribeModelPackageErrorMap' => 'A map of the resource and BatchDescribeModelPackageError objects reporting the error associated with describing the model package.
', ], ], 'BatchDescribeModelPackageInput' => [ 'base' => NULL, 'refs' => [], ], 'BatchDescribeModelPackageOutput' => [ 'base' => NULL, 'refs' => [], ], 'BatchDescribeModelPackageSummary' => [ 'base' => 'Provides summary information about the model package.
', 'refs' => [ 'ModelPackageSummaries$value' => NULL, ], ], 'BatchStrategy' => [ 'base' => NULL, 'refs' => [ 'CreateTransformJobRequest$BatchStrategy' => 'Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
To enable the batch strategy, you must set the SplitType property to Line, RecordIO, or TFRecord.
To use only one record when making an HTTP invocation request to a container, set BatchStrategy to SingleRecord and SplitType to Line.
To fit as many records in a mini-batch as can fit within the MaxPayloadInMB limit, set BatchStrategy to MultiRecord and SplitType to Line.
Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
To enable the batch strategy, you must set SplitType to Line, RecordIO, or TFRecord.
Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
', 'TransformJobDefinition$BatchStrategy' => 'A string that determines the number of records included in a single mini-batch.
SingleRecord means only one record is used per mini-batch. MultiRecord means a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB limit.
Input object for the batch transform job.
', 'refs' => [ 'DataQualityJobInput$BatchTransformInput' => 'Input object for the batch transform job.
', 'ModelBiasJobInput$BatchTransformInput' => 'Input object for the batch transform job.
', 'ModelDashboardMonitoringSchedule$BatchTransformInput' => NULL, 'ModelExplainabilityJobInput$BatchTransformInput' => 'Input object for the batch transform job.
', 'ModelQualityJobInput$BatchTransformInput' => 'Input object for the batch transform job.
', 'MonitoringInput$BatchTransformInput' => 'Input object for the batch transform job.
', ], ], 'BestObjectiveNotImproving' => [ 'base' => 'A structure that keeps track of which training jobs launched by your hyperparameter tuning job are not improving model performance as evaluated against an objective function.
', 'refs' => [ 'TuningJobCompletionCriteria$BestObjectiveNotImproving' => 'A flag to stop your hyperparameter tuning job if model performance fails to improve as evaluated against an objective function.
', ], ], 'Bias' => [ 'base' => 'Contains bias metrics for a model.
', 'refs' => [ 'ModelMetrics$Bias' => 'Metrics that measure bias in a model.
', ], ], 'BillableTimeInSeconds' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingJobResponse$BillableTimeInSeconds' => 'The billable time in seconds. Billable time refers to the absolute wall-clock time.
Multiply BillableTimeInSeconds by the number of instances (InstanceCount) in your training cluster to get the total compute time SageMaker bills you if you run distributed training. The formula is as follows: BillableTimeInSeconds * InstanceCount .
You can calculate the savings from using managed spot training using the formula (1 - BillableTimeInSeconds / TrainingTimeInSeconds) * 100. For example, if BillableTimeInSeconds is 100 and TrainingTimeInSeconds is 500, the savings is 80%.
The billable time in seconds.
', ], ], 'BlockedReason' => [ 'base' => NULL, 'refs' => [ 'OfflineStoreStatus$BlockedReason' => 'The justification for why the OfflineStoreStatus is Blocked (if applicable).
', ], ], 'BlueGreenUpdatePolicy' => [ 'base' => 'Update policy for a blue/green deployment. If this update policy is specified, SageMaker creates a new fleet during the deployment while maintaining the old fleet. SageMaker flips traffic to the new fleet according to the specified traffic routing configuration. Only one update policy should be used in the deployment configuration. If no update policy is specified, SageMaker uses a blue/green deployment strategy with all at once traffic shifting by default.
', 'refs' => [ 'DeploymentConfig$BlueGreenUpdatePolicy' => 'Update policy for a blue/green deployment. If this update policy is specified, SageMaker creates a new fleet during the deployment while maintaining the old fleet. SageMaker flips traffic to the new fleet according to the specified traffic routing configuration. Only one update policy should be used in the deployment configuration. If no update policy is specified, SageMaker uses a blue/green deployment strategy with all at once traffic shifting by default.
', ], ], 'Boolean' => [ 'base' => NULL, 'refs' => [ 'AlgorithmSpecification$EnableSageMakerMetricsTimeSeries' => 'To generate and save time-series metrics during training, set to true. The default is false and time-series metrics aren\'t generated except in the following cases:
You use one of the SageMaker built-in algorithms
You use one of the following Prebuilt SageMaker Docker Images:
Tensorflow (version >= 1.15)
MXNet (version >= 1.6)
PyTorch (version >= 1.3)
You specify at least one MetricDefinition
Whether to use traffic encryption between the container layers.
', 'BatchDataCaptureConfig$GenerateInferenceId' => 'Flag that indicates whether to append inference id to the output.
', 'ChannelSpecification$IsRequired' => 'Indicates whether the channel is required by the algorithm.
', 'ClarifyCheckStepMetadata$SkipCheck' => 'This flag indicates if the drift check against the previous baseline will be skipped or not. If it is set to False, the previous baseline of the configured check type must be available.
This flag indicates if a newly calculated baseline can be accessed through step properties BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics. If it is set to False, the previous baseline of the configured check type must also be available. These can be accessed through the BaselineUsedForDriftCheckConstraints property.
Sets whether all model containers deployed to the endpoint are isolated. If they are, no inbound or outbound network calls can be made to or from the model containers.
', 'CreateMlflowTrackingServerRequest$AutomaticModelRegistration' => 'Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. To enable automatic model registration, set this value to True. To disable automatic model registration, set this value to False. If not specified, AutomaticModelRegistration defaults to False.
Isolates the model container. No inbound or outbound network calls can be made to or from the model container.
', 'CreatePartnerAppRequest$EnableIamSessionBasedIdentity' => 'When set to TRUE, the SageMaker Partner AI App sets the Amazon Web Services IAM session name or the authenticated IAM user as the identity of the SageMaker Partner AI App user.
Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If you enable network isolation for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
', 'CreateTrainingJobRequest$EnableInterContainerTrafficEncryption' => 'To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training. For more information, see Protect Communications Between ML Compute Instances in a Distributed Training Job.
To train models using managed spot training, choose True. Managed spot training provides a fully managed and scalable infrastructure for training machine learning models. this option is useful when training jobs can be interrupted and when there is flexibility when the training job is run.
The complete and intermediate results of jobs are stored in an Amazon S3 bucket, and can be used as a starting point to train models incrementally. Amazon SageMaker provides metrics and logs in CloudWatch. They can be used to see when managed spot training jobs are running, interrupted, resumed, or completed.
', 'DescribeEndpointConfigOutput$EnableNetworkIsolation' => 'Indicates whether all model containers deployed to the endpoint are isolated. If they are, no inbound or outbound network calls can be made to or from the model containers.
', 'DescribeMlflowTrackingServerResponse$AutomaticModelRegistration' => 'Whether automatic registration of new MLflow models to the SageMaker Model Registry is enabled.
', 'DescribeModelOutput$EnableNetworkIsolation' => 'If True, no inbound or outbound network calls can be made to or from the model container.
When set to TRUE, the SageMaker Partner AI App sets the Amazon Web Services IAM session name or the authenticated IAM user as the identity of the SageMaker Partner AI App user.
If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster for distributed training, choose True. If you enable network isolation for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithms in distributed training.
A Boolean indicating whether managed spot training is enabled (True) or not (False).
Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.
', 'HyperParameterSpecification$IsRequired' => 'Indicates whether this hyperparameter is required.
', 'HyperParameterTrainingJobDefinition$EnableNetworkIsolation' => 'Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If network isolation is used for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
', 'HyperParameterTrainingJobDefinition$EnableInterContainerTrafficEncryption' => 'To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.
A Boolean indicating whether managed spot training is enabled (True) or not (False).
Toggle for excluding devices deployed in other stages.
', 'Model$EnableNetworkIsolation' => 'Isolates the model container. No inbound or outbound network calls can be made to or from the model container.
', 'ModelDashboardIndicatorAction$Enabled' => 'Indicates whether the alert action is turned on.
', 'MonitoringCsvDatasetFormat$Header' => 'Indicates if the CSV data has a header.
', 'MonitoringJsonDatasetFormat$Line' => 'Indicates if the file should be read as a JSON object per line.
', 'MonitoringNetworkConfig$EnableInterContainerTrafficEncryption' => 'Whether to encrypt all communications between the instances used for the monitoring jobs. Choose True to encrypt communications. Encryption provides greater security for distributed jobs, but the processing might take longer.
Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.
', 'NetworkConfig$EnableInterContainerTrafficEncryption' => 'Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.
Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
', 'OfflineStoreConfig$DisableGlueTableCreation' => 'Set to True to disable the automatic creation of an Amazon Web Services Glue table when configuring an OfflineStore. If set to False, Feature Store will name the OfflineStore Glue table following Athena\'s naming recommendations.
The default value is False.
Turn OnlineStore off by specifying False for the EnableOnlineStore flag. Turn OnlineStore on by specifying True for the EnableOnlineStore flag.
The default value is False.
This flag indicates if the drift check against the previous baseline will be skipped or not. If it is set to False, the previous baseline of the configured check type must be available.
This flag indicates if a newly calculated baseline can be accessed through step properties BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics. If it is set to False, the previous baseline of the configured check type must also be available. These can be accessed through the BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics properties.
Setting this value to True retrieves not only the entities of interest but also the Associations and lineage entities on the path. Set to False to only return lineage entities that match your query.
If the TrainingJob was created with network isolation, the value is set to true. If network isolation is enabled, nodes can\'t communicate beyond the VPC they run in.
To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.
When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of on-demand instances. For more information, see Managed Spot Training.
', 'TrainingSpecification$SupportsDistributedTraining' => 'Indicates whether the algorithm supports distributed training. If set to false, buyers can\'t request more than one instance during training.
', 'UpdateEndpointInput$RetainAllVariantProperties' => 'When updating endpoint resources, enables or disables the retention of variant properties, such as the instance count or the variant weight. To retain the variant properties of an endpoint when updating it, set RetainAllVariantProperties to true. To use the variant properties specified in a new EndpointConfig call when updating an endpoint, set RetainAllVariantProperties to false. The default is false.
Specifies whether to reuse the last deployment configuration. The default value is false (the configuration is not reused).
', 'UpdateMlflowTrackingServerRequest$AutomaticModelRegistration' => 'Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. To enable automatic model registration, set this value to True. To disable automatic model registration, set this value to False. If not specified, AutomaticModelRegistration defaults to False
When set to TRUE, the SageMaker Partner AI App sets the Amazon Web Services IAM session name or the authenticated IAM user as the identity of the SageMaker Partner AI App user.
A Boolean operator used to evaluate the search expression. If you want every conditional statement in all lists to be satisfied for the entire search expression to be true, specify And. If only a single conditional statement needs to be true for the entire search expression to be true, specify Or. The default value is And.
The limit on how much idle compute can be borrowed.The values can be 1 - 500 percent of idle compute that the team is allowed to borrow.
Default is 50.
The default branch for the Git repository.
', ], ], 'BucketName' => [ 'base' => NULL, 'refs' => [ 'PipelineDefinitionS3Location$Bucket' => 'Name of the S3 bucket.
', ], ], 'CacheHitResult' => [ 'base' => 'Details on the cache hit of a pipeline execution step.
', 'refs' => [ 'PipelineExecutionStep$CacheHitResult' => 'If this pipeline execution step was cached, details on the cache hit.
', ], ], 'CallbackStepMetadata' => [ 'base' => 'Metadata about a callback step.
', 'refs' => [ 'PipelineExecutionStepMetadata$Callback' => 'The URL of the Amazon SQS queue used by this step execution, the pipeline generated token, and a list of output parameters.
', ], ], 'CallbackToken' => [ 'base' => NULL, 'refs' => [ 'CallbackStepMetadata$CallbackToken' => 'The pipeline generated token from the Amazon SQS queue.
', 'SendPipelineExecutionStepFailureRequest$CallbackToken' => 'The pipeline generated token from the Amazon SQS queue.
', 'SendPipelineExecutionStepSuccessRequest$CallbackToken' => 'The pipeline generated token from the Amazon SQS queue.
', ], ], 'CandidateArtifactLocations' => [ 'base' => 'The location of artifacts for an AutoML candidate job.
', 'refs' => [ 'CandidateProperties$CandidateArtifactLocations' => 'The Amazon S3 prefix to the artifacts generated for an AutoML candidate.
', ], ], 'CandidateDefinitionNotebookLocation' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobArtifacts$CandidateDefinitionNotebookLocation' => 'The URL of the notebook location.
', ], ], 'CandidateGenerationConfig' => [ 'base' => 'Stores the configuration information for how model candidates are generated using an AutoML job V2.
', 'refs' => [ 'TabularJobConfig$CandidateGenerationConfig' => 'The configuration information of how model candidates are generated.
', 'TimeSeriesForecastingJobConfig$CandidateGenerationConfig' => NULL, ], ], 'CandidateName' => [ 'base' => NULL, 'refs' => [ 'AutoMLCandidate$CandidateName' => 'The name of the candidate.
', 'ListCandidatesForAutoMLJobRequest$CandidateNameEquals' => 'List the candidates for the job and filter by candidate name.
', ], ], 'CandidateProperties' => [ 'base' => 'The properties of an AutoML candidate job.
', 'refs' => [ 'AutoMLCandidate$CandidateProperties' => 'The properties of an AutoML candidate job.
', ], ], 'CandidateSortBy' => [ 'base' => NULL, 'refs' => [ 'ListCandidatesForAutoMLJobRequest$SortBy' => 'The parameter by which to sort the results. The default is Descending.
The candidate\'s status.
', 'ListCandidatesForAutoMLJobRequest$StatusEquals' => 'List the candidates for the job and filter by status.
', ], ], 'CandidateStepArn' => [ 'base' => NULL, 'refs' => [ 'AutoMLCandidateStep$CandidateStepArn' => 'The ARN for the candidate\'s step.
', ], ], 'CandidateStepName' => [ 'base' => NULL, 'refs' => [ 'AutoMLCandidateStep$CandidateStepName' => 'The name for the candidate\'s step.
', ], ], 'CandidateStepType' => [ 'base' => NULL, 'refs' => [ 'AutoMLCandidateStep$CandidateStepType' => 'Whether the candidate is at the transform, training, or processing step.
', ], ], 'CandidateSteps' => [ 'base' => NULL, 'refs' => [ 'AutoMLCandidate$CandidateSteps' => 'Information about the candidate\'s steps.
', ], ], 'CanvasAppSettings' => [ 'base' => 'The SageMaker Canvas application settings.
', 'refs' => [ 'UserSettings$CanvasAppSettings' => 'The Canvas app settings.
SageMaker applies these settings only to private spaces that SageMaker creates for the Canvas app.
', ], ], 'CapacitySize' => [ 'base' => 'Specifies the type and size of the endpoint capacity to activate for a blue/green deployment, a rolling deployment, or a rollback strategy. You can specify your batches as either instance count or the overall percentage or your fleet.
For a rollback strategy, if you don\'t specify the fields in this object, or if you set the Value to 100%, then SageMaker uses a blue/green rollback strategy and rolls all traffic back to the blue fleet.
Batch size for each rolling step to provision capacity and turn on traffic on the new endpoint fleet, and terminate capacity on the old endpoint fleet. Value must be between 5% to 50% of the variant\'s total instance count.
', 'RollingUpdatePolicy$RollbackMaximumBatchSize' => 'Batch size for rollback to the old endpoint fleet. Each rolling step to provision capacity and turn on traffic on the old endpoint fleet, and terminate capacity on the new endpoint fleet. If this field is absent, the default value will be set to 100% of total capacity which means to bring up the whole capacity of the old fleet at once during rollback.
', 'TrafficRoutingConfig$CanarySize' => 'Batch size for the first step to turn on traffic on the new endpoint fleet. Value must be less than or equal to 50% of the variant\'s total instance count.
Batch size for each step to turn on traffic on the new endpoint fleet. Value must be 10-50% of the variant\'s total instance count.
Specifies the endpoint capacity type.
INSTANCE_COUNT: The endpoint activates based on the number of instances.
CAPACITY_PERCENT: The endpoint activates based on the specified percentage of capacity.
Defines the capacity size, either as a number of instances or a capacity percentage.
', ], ], 'CapacityUnit' => [ 'base' => NULL, 'refs' => [ 'ThroughputConfig$ProvisionedReadCapacityUnits' => 'For provisioned feature groups with online store enabled, this indicates the read throughput you are billed for and can consume without throttling.
This field is not applicable for on-demand feature groups.
', 'ThroughputConfig$ProvisionedWriteCapacityUnits' => 'For provisioned feature groups, this indicates the write throughput you are billed for and can consume without throttling.
This field is not applicable for on-demand feature groups.
', 'ThroughputConfigDescription$ProvisionedReadCapacityUnits' => 'For provisioned feature groups with online store enabled, this indicates the read throughput you are billed for and can consume without throttling.
This field is not applicable for on-demand feature groups.
', 'ThroughputConfigDescription$ProvisionedWriteCapacityUnits' => 'For provisioned feature groups, this indicates the write throughput you are billed for and can consume without throttling.
This field is not applicable for on-demand feature groups.
', 'ThroughputConfigUpdate$ProvisionedReadCapacityUnits' => 'For provisioned feature groups with online store enabled, this indicates the read throughput you are billed for and can consume without throttling.
', 'ThroughputConfigUpdate$ProvisionedWriteCapacityUnits' => 'For provisioned feature groups, this indicates the write throughput you are billed for and can consume without throttling.
', ], ], 'CaptureContentTypeHeader' => [ 'base' => 'Configuration specifying how to treat different headers. If no headers are specified Amazon SageMaker AI will by default base64 encode when capturing the data.
', 'refs' => [ 'DataCaptureConfig$CaptureContentTypeHeader' => 'Configuration specifying how to treat different headers. If no headers are specified SageMaker AI will by default base64 encode when capturing the data.
', 'InferenceExperimentDataStorageConfig$ContentType' => NULL, ], ], 'CaptureMode' => [ 'base' => NULL, 'refs' => [ 'CaptureOption$CaptureMode' => 'Specify the boundary of data to capture.
', ], ], 'CaptureOption' => [ 'base' => 'Specifies data Model Monitor will capture.
', 'refs' => [ 'CaptureOptionList$member' => NULL, ], ], 'CaptureOptionList' => [ 'base' => NULL, 'refs' => [ 'DataCaptureConfig$CaptureOptions' => 'Specifies data Model Monitor will capture. You can configure whether to collect only input, only output, or both
', ], ], 'CaptureStatus' => [ 'base' => NULL, 'refs' => [ 'DataCaptureConfigSummary$CaptureStatus' => 'Whether data capture is currently functional.
', ], ], 'Catalog' => [ 'base' => NULL, 'refs' => [ 'DataCatalogConfig$Catalog' => 'The name of the Glue table catalog.
', ], ], 'CategoricalParameter' => [ 'base' => 'Environment parameters you want to benchmark your load test against.
', 'refs' => [ 'CategoricalParameters$member' => NULL, ], ], 'CategoricalParameterRange' => [ 'base' => 'A list of categorical hyperparameters to tune.
', 'refs' => [ 'CategoricalParameterRanges$member' => NULL, ], ], 'CategoricalParameterRangeSpecification' => [ 'base' => 'Defines the possible values for a categorical hyperparameter.
', 'refs' => [ 'ParameterRange$CategoricalParameterRangeSpecification' => 'A CategoricalParameterRangeSpecification object that defines the possible values for a categorical hyperparameter.
The list of values you can pass.
', ], ], 'CategoricalParameterRanges' => [ 'base' => NULL, 'refs' => [ 'ParameterRanges$CategoricalParameterRanges' => 'The array of CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a hyperparameter tuning job searches.
', ], ], 'CategoricalParameters' => [ 'base' => NULL, 'refs' => [ 'EnvironmentParameterRanges$CategoricalParameterRanges' => 'Specified a list of parameters for each category.
', ], ], 'Cents' => [ 'base' => NULL, 'refs' => [ 'USD$Cents' => 'The fractional portion, in cents, of the amount.
', ], ], 'CertifyForMarketplace' => [ 'base' => NULL, 'refs' => [ 'CreateAlgorithmInput$CertifyForMarketplace' => 'Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.
', 'CreateModelPackageInput$CertifyForMarketplace' => 'Whether to certify the model package for listing on Amazon Web Services Marketplace.
This parameter is optional for unversioned models, and does not apply to versioned models.
', 'DescribeAlgorithmOutput$CertifyForMarketplace' => 'Whether the algorithm is certified to be listed in Amazon Web Services Marketplace.
', 'DescribeModelPackageOutput$CertifyForMarketplace' => 'Whether the model package is certified for listing on Amazon Web Services Marketplace.
', 'ModelPackage$CertifyForMarketplace' => 'Whether the model package is to be certified to be listed on Amazon Web Services Marketplace. For information about listing model packages on Amazon Web Services Marketplace, see List Your Algorithm or Model Package on Amazon Web Services Marketplace.
', ], ], 'Channel' => [ 'base' => 'A channel is a named input source that training algorithms can consume.
', 'refs' => [ 'InputDataConfig$member' => NULL, ], ], 'ChannelName' => [ 'base' => NULL, 'refs' => [ 'Channel$ChannelName' => 'The name of the channel.
', 'ChannelSpecification$Name' => 'The name of the channel.
', ], ], 'ChannelSpecification' => [ 'base' => 'Defines a named input source, called a channel, to be used by an algorithm.
', 'refs' => [ 'ChannelSpecifications$member' => NULL, ], ], 'ChannelSpecifications' => [ 'base' => NULL, 'refs' => [ 'TrainingSpecification$TrainingChannels' => 'A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.
Contains information about the output location for managed spot training checkpoint data.
', 'refs' => [ 'CreateTrainingJobRequest$CheckpointConfig' => 'Contains information about the output location for managed spot training checkpoint data.
', 'DescribeTrainingJobResponse$CheckpointConfig' => NULL, 'HyperParameterTrainingJobDefinition$CheckpointConfig' => NULL, 'TrainingJob$CheckpointConfig' => NULL, ], ], 'Cidr' => [ 'base' => NULL, 'refs' => [ 'Cidrs$member' => NULL, ], ], 'Cidrs' => [ 'base' => NULL, 'refs' => [ 'SourceIpConfig$Cidrs' => 'A list of one to ten Classless Inter-Domain Routing (CIDR) values.
Maximum: Ten CIDR values
The following Length Constraints apply to individual CIDR values in the CIDR value list.
The container for the metadata for the ClarifyCheck step. For more information, see the topic on ClarifyCheck step in the Amazon SageMaker Developer Guide.
', 'refs' => [ 'PipelineExecutionStepMetadata$ClarifyCheck' => 'Container for the metadata for a Clarify check step. The configurations and outcomes of the check step execution. This includes:
The type of the check conducted,
The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.
The Amazon S3 URIs of newly calculated baseline constraints and statistics.
The model package group name provided.
The Amazon S3 URI of the violation report if violations detected.
The Amazon Resource Name (ARN) of check processing job initiated by the step execution.
The boolean flags indicating if the drift check is skipped.
If step property BaselineUsedForDriftCheck is set the same as CalculatedBaseline.
A template string used to format a JSON record into an acceptable model container input. For example, a ContentTemplate string \'{"myfeatures":$features}\' will format a list of features [1,2,3] into the record string \'{"myfeatures":[1,2,3]}\'. Required only when the model container input is in JSON Lines format.
A JMESPath boolean expression used to filter which records to explain. Explanations are activated by default. See EnableExplanations for additional information.
The configuration parameters for the SageMaker Clarify explainer.
', 'refs' => [ 'ExplainerConfig$ClarifyExplainerConfig' => 'A member of ExplainerConfig that contains configuration parameters for the SageMaker Clarify explainer.
The names of the features. If provided, these are included in the endpoint response payload to help readability of the InvokeEndpoint output. See the Response section under Invoke the endpoint in the Developer Guide for more information.
A list of data types of the features (optional). Applicable only to NLP explainability. If provided, FeatureTypes must have at least one \'text\' string (for example, [\'text\']). If FeatureTypes is not provided, the explainer infers the feature types based on the baseline data. The feature types are included in the endpoint response payload. For additional information see the response section under Invoke the endpoint in the Developer Guide for more information.
Provides the JMESPath expression to extract the features from a model container input in JSON Lines format. For example, if FeaturesAttribute is the JMESPath expression \'myfeatures\', it extracts a list of features [1,2,3] from request data \'{"myfeatures":[1,2,3]}\'.
The inference configuration parameter for the model container.
', 'refs' => [ 'ClarifyExplainerConfig$InferenceConfig' => 'The inference configuration parameter for the model container.
', ], ], 'ClarifyLabelAttribute' => [ 'base' => NULL, 'refs' => [ 'ClarifyInferenceConfig$LabelAttribute' => 'A JMESPath expression used to locate the list of label headers in the model container output.
Example: If the model container output of a batch request is \'{"labels":["cat","dog","fish"],"probability":[0.6,0.3,0.1]}\', then set LabelAttribute to \'labels\' to extract the list of label headers ["cat","dog","fish"]
For multiclass classification problems, the label headers are the names of the classes. Otherwise, the label header is the name of the predicted label. These are used to help readability for the output of the InvokeEndpoint API. See the response section under Invoke the endpoint in the Developer Guide for more information. If there are no label headers in the model container output, provide them manually using this parameter.
A zero-based index used to extract a label header or list of label headers from model container output in CSV format.
Example for a multiclass model: If the model container output consists of label headers followed by probabilities: \'"[\\\'cat\\\',\\\'dog\\\',\\\'fish\\\']","[0.1,0.6,0.3]"\', set LabelIndex to 0 to select the label headers [\'cat\',\'dog\',\'fish\'].
The maximum payload size (MB) allowed of a request from the explainer to the model container. Defaults to 6 MB.
The maximum number of records in a request that the model container can process when querying the model container for the predictions of a synthetic dataset. A record is a unit of input data that inference can be made on, for example, a single line in CSV data. If MaxRecordCount is 1, the model container expects one record per request. A value of 2 or greater means that the model expects batch requests, which can reduce overhead and speed up the inferencing process. If this parameter is not provided, the explainer will tune the record count per request according to the model container\'s capacity at runtime.
The MIME type of the baseline data. Choose from \'text/csv\' or \'application/jsonlines\'. Defaults to \'text/csv\'.
A JMESPath expression used to extract the probability (or score) from the model container output if the model container is in JSON Lines format.
Example: If the model container output of a single request is \'{"predicted_label":1,"probability":0.6}\', then set ProbabilityAttribute to \'probability\'.
A zero-based index used to extract a probability value (score) or list from model container output in CSV format. If this value is not provided, the entire model container output will be treated as a probability value (score) or list.
Example for a single class model: If the model container output consists of a string-formatted prediction label followed by its probability: \'1,0.6\', set ProbabilityIndex to 1 to select the probability value 0.6.
Example for a multiclass model: If the model container output consists of a string-formatted prediction label followed by its probability: \'"[\\\'cat\\\',\\\'dog\\\',\\\'fish\\\']","[0.1,0.6,0.3]"\', set ProbabilityIndex to 1 to select the probability values [0.1,0.6,0.3].
The inline SHAP baseline data in string format. ShapBaseline can have one or multiple records to be used as the baseline dataset. The format of the SHAP baseline file should be the same format as the training dataset. For example, if the training dataset is in CSV format and each record contains four features, and all features are numerical, then the format of the baseline data should also share these characteristics. For natural language processing (NLP) of text columns, the baseline value should be the value used to replace the unit of text specified by the Granularity of the TextConfig parameter. The size limit for ShapBasline is 4 KB. Use the ShapBaselineUri parameter if you want to provide more than 4 KB of baseline data.
The configuration for the SHAP baseline (also called the background or reference dataset) of the Kernal SHAP algorithm.
The number of records in the baseline data determines the size of the synthetic dataset, which has an impact on latency of explainability requests. For more information, see the Synthetic data of Configure and create an endpoint.
ShapBaseline and ShapBaselineUri are mutually exclusive parameters. One or the either is required to configure a SHAP baseline.
The configuration for the SHAP baseline of the Kernal SHAP algorithm.
', ], ], 'ClarifyShapConfig' => [ 'base' => 'The configuration for SHAP analysis using SageMaker Clarify Explainer.
', 'refs' => [ 'ClarifyExplainerConfig$ShapConfig' => 'The configuration for SHAP analysis.
', ], ], 'ClarifyShapNumberOfSamples' => [ 'base' => NULL, 'refs' => [ 'ClarifyShapConfig$NumberOfSamples' => 'The number of samples to be used for analysis by the Kernal SHAP algorithm.
The number of samples determines the size of the synthetic dataset, which has an impact on latency of explainability requests. For more information, see the Synthetic data of Configure and create an endpoint.
The starting value used to initialize the random number generator in the explainer. Provide a value for this parameter to obtain a deterministic SHAP result.
', ], ], 'ClarifyShapUseLogit' => [ 'base' => NULL, 'refs' => [ 'ClarifyShapConfig$UseLogit' => 'A Boolean toggle to indicate if you want to use the logit function (true) or log-odds units (false) for model predictions. Defaults to false.
', ], ], 'ClarifyTextConfig' => [ 'base' => 'A parameter used to configure the SageMaker Clarify explainer to treat text features as text so that explanations are provided for individual units of text. Required only for natural language processing (NLP) explainability.
', 'refs' => [ 'ClarifyShapConfig$TextConfig' => 'A parameter that indicates if text features are treated as text and explanations are provided for individual units of text. Required for natural language processing (NLP) explainability only.
', ], ], 'ClarifyTextGranularity' => [ 'base' => NULL, 'refs' => [ 'ClarifyTextConfig$Granularity' => 'The unit of granularity for the analysis of text features. For example, if the unit is \'token\', then each token (like a word in English) of the text is treated as a feature. SHAP values are computed for each unit/feature.
Specifies the language of the text features in ISO 639-1 or ISO 639-3 code of a supported language.
For a mix of multiple languages, use code \'xx\'.
The client ID for your Amazon Cognito user pool.
', 'CognitoMemberDefinition$ClientId' => 'An identifier for an application client. You must create the app client ID using Amazon Cognito.
', 'OidcConfig$ClientId' => 'The OIDC IdP client ID used to configure your private workforce.
', 'OidcConfigForResponse$ClientId' => 'The OIDC IdP client ID used to configure your private workforce.
', ], ], 'ClientSecret' => [ 'base' => NULL, 'refs' => [ 'OidcConfig$ClientSecret' => 'The OIDC IdP client secret used to configure your private workforce.
', ], ], 'ClientToken' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionRequest$ClientToken' => 'A unique ID. If not specified, the Amazon Web Services CLI and Amazon Web Services SDKs, such as the SDK for Python (Boto3), add a unique value to the call.
', 'CreateModelPackageInput$ClientToken' => 'A unique token that guarantees that the call to this API is idempotent.
', 'CreatePartnerAppRequest$ClientToken' => 'A unique token that guarantees that the call to this API is idempotent.
', 'DeletePartnerAppRequest$ClientToken' => 'A unique token that guarantees that the call to this API is idempotent.
', 'UpdateModelPackageInput$ClientToken' => 'A unique token that guarantees that the call to this API is idempotent.
', 'UpdatePartnerAppRequest$ClientToken' => 'A unique token that guarantees that the call to this API is idempotent.
', ], ], 'ClusterArn' => [ 'base' => NULL, 'refs' => [ 'ClusterSchedulerConfigSummary$ClusterArn' => 'ARN of the cluster.
', 'ClusterSummary$ClusterArn' => 'The Amazon Resource Name (ARN) of the SageMaker HyperPod cluster.
', 'ComputeQuotaSummary$ClusterArn' => 'ARN of the cluster.
', 'CreateClusterResponse$ClusterArn' => 'The Amazon Resource Name (ARN) of the cluster.
', 'CreateClusterSchedulerConfigRequest$ClusterArn' => 'ARN of the cluster.
', 'CreateComputeQuotaRequest$ClusterArn' => 'ARN of the cluster.
', 'DeleteClusterResponse$ClusterArn' => 'The Amazon Resource Name (ARN) of the SageMaker HyperPod cluster to delete.
', 'DescribeClusterResponse$ClusterArn' => 'The Amazon Resource Name (ARN) of the SageMaker HyperPod cluster.
', 'DescribeClusterSchedulerConfigResponse$ClusterArn' => 'ARN of the cluster where the cluster policy is applied.
', 'DescribeComputeQuotaResponse$ClusterArn' => 'ARN of the cluster.
', 'ListClusterSchedulerConfigsRequest$ClusterArn' => 'Filter for ARN of the cluster.
', 'ListComputeQuotasRequest$ClusterArn' => 'Filter for ARN of the cluster.
', 'UpdateClusterResponse$ClusterArn' => 'The Amazon Resource Name (ARN) of the updated SageMaker HyperPod cluster.
', 'UpdateClusterSoftwareResponse$ClusterArn' => 'The Amazon Resource Name (ARN) of the SageMaker HyperPod cluster being updated for security patching.
', ], ], 'ClusterAvailabilityZone' => [ 'base' => NULL, 'refs' => [ 'ClusterInstancePlacement$AvailabilityZone' => 'The Availability Zone where the node in the SageMaker HyperPod cluster is launched.
', ], ], 'ClusterAvailabilityZoneId' => [ 'base' => NULL, 'refs' => [ 'ClusterInstancePlacement$AvailabilityZoneId' => 'The unique identifier (ID) of the Availability Zone where the node in the SageMaker HyperPod cluster is launched.
', ], ], 'ClusterEbsVolumeConfig' => [ 'base' => 'Defines the configuration for attaching an additional Amazon Elastic Block Store (EBS) volume to each instance of the SageMaker HyperPod cluster instance group. To learn more, see SageMaker HyperPod release notes: June 20, 2024.
', 'refs' => [ 'ClusterInstanceStorageConfig$EbsVolumeConfig' => 'Defines the configuration for attaching additional Amazon Elastic Block Store (EBS) volumes to the instances in the SageMaker HyperPod cluster instance group. The additional EBS volume is attached to each instance within the SageMaker HyperPod cluster instance group and mounted to /opt/sagemaker.
The size in gigabytes (GB) of the additional EBS volume to be attached to the instances in the SageMaker HyperPod cluster instance group. The additional EBS volume is attached to each instance within the SageMaker HyperPod cluster instance group and mounted to /opt/sagemaker.
The number of instances you specified to add to the instance group of a SageMaker HyperPod cluster.
', 'ClusterInstanceGroupSpecification$InstanceCount' => 'Specifies the number of instances to add to the instance group of a SageMaker HyperPod cluster.
', ], ], 'ClusterInstanceGroupDetails' => [ 'base' => 'Details of an instance group in a SageMaker HyperPod cluster.
', 'refs' => [ 'ClusterInstanceGroupDetailsList$member' => NULL, ], ], 'ClusterInstanceGroupDetailsList' => [ 'base' => NULL, 'refs' => [ 'DescribeClusterResponse$InstanceGroups' => 'The instance groups of the SageMaker HyperPod cluster.
', ], ], 'ClusterInstanceGroupName' => [ 'base' => NULL, 'refs' => [ 'ClusterInstanceGroupDetails$InstanceGroupName' => 'The name of the instance group of a SageMaker HyperPod cluster.
', 'ClusterInstanceGroupSpecification$InstanceGroupName' => 'Specifies the name of the instance group.
', 'ClusterNodeDetails$InstanceGroupName' => 'The instance group name in which the instance is.
', 'ClusterNodeSummary$InstanceGroupName' => 'The name of the instance group in which the instance is.
', 'ListClusterNodesRequest$InstanceGroupNameContains' => 'A filter that returns the instance groups whose name contain a specified string.
', ], ], 'ClusterInstanceGroupSpecification' => [ 'base' => 'The specifications of an instance group that you need to define.
', 'refs' => [ 'ClusterInstanceGroupSpecifications$member' => NULL, ], ], 'ClusterInstanceGroupSpecifications' => [ 'base' => NULL, 'refs' => [ 'CreateClusterRequest$InstanceGroups' => 'The instance groups to be created in the SageMaker HyperPod cluster.
', 'UpdateClusterRequest$InstanceGroups' => 'Specify the instance groups to update.
', ], ], 'ClusterInstancePlacement' => [ 'base' => 'Specifies the placement details for the node in the SageMaker HyperPod cluster, including the Availability Zone and the unique identifier (ID) of the Availability Zone.
', 'refs' => [ 'ClusterNodeDetails$Placement' => 'The placement details of the SageMaker HyperPod cluster node.
', ], ], 'ClusterInstanceStatus' => [ 'base' => NULL, 'refs' => [ 'ClusterInstanceStatusDetails$Status' => 'The status of an instance in a SageMaker HyperPod cluster.
', ], ], 'ClusterInstanceStatusDetails' => [ 'base' => 'Details of an instance in a SageMaker HyperPod cluster.
', 'refs' => [ 'ClusterNodeDetails$InstanceStatus' => 'The status of the instance.
', 'ClusterNodeSummary$InstanceStatus' => 'The status of the instance.
', ], ], 'ClusterInstanceStorageConfig' => [ 'base' => 'Defines the configuration for attaching additional storage to the instances in the SageMaker HyperPod cluster instance group. To learn more, see SageMaker HyperPod release notes: June 20, 2024.
', 'refs' => [ 'ClusterInstanceStorageConfigs$member' => NULL, ], ], 'ClusterInstanceStorageConfigs' => [ 'base' => NULL, 'refs' => [ 'ClusterInstanceGroupDetails$InstanceStorageConfigs' => 'The additional storage configurations for the instances in the SageMaker HyperPod cluster instance group.
', 'ClusterInstanceGroupSpecification$InstanceStorageConfigs' => 'Specifies the additional storage configurations for the instances in the SageMaker HyperPod cluster instance group.
', 'ClusterNodeDetails$InstanceStorageConfigs' => 'The configurations of additional storage specified to the instance group where the instance (node) is launched.
', ], ], 'ClusterInstanceType' => [ 'base' => NULL, 'refs' => [ 'ClusterInstanceGroupDetails$InstanceType' => 'The instance type of the instance group of a SageMaker HyperPod cluster.
', 'ClusterInstanceGroupSpecification$InstanceType' => 'Specifies the instance type of the instance group.
', 'ClusterNodeDetails$InstanceType' => 'The type of the instance.
', 'ClusterNodeSummary$InstanceType' => 'The type of the instance.
', 'ComputeQuotaResourceConfig$InstanceType' => 'The instance type of the instance group for the cluster.
', ], ], 'ClusterLifeCycleConfig' => [ 'base' => 'The lifecycle configuration for a SageMaker HyperPod cluster.
', 'refs' => [ 'ClusterInstanceGroupDetails$LifeCycleConfig' => 'Details of LifeCycle configuration for the instance group.
', 'ClusterInstanceGroupSpecification$LifeCycleConfig' => 'Specifies the LifeCycle configuration for the instance group.
', 'ClusterNodeDetails$LifeCycleConfig' => 'The LifeCycle configuration applied to the instance.
', ], ], 'ClusterLifeCycleConfigFileName' => [ 'base' => NULL, 'refs' => [ 'ClusterLifeCycleConfig$OnCreate' => 'The file name of the entrypoint script of lifecycle scripts under SourceS3Uri. This entrypoint script runs during cluster creation.
The name of the SageMaker HyperPod cluster.
', 'CreateClusterRequest$ClusterName' => 'The name for the new SageMaker HyperPod cluster.
', 'DescribeClusterResponse$ClusterName' => 'The name of the SageMaker HyperPod cluster.
', ], ], 'ClusterNameOrArn' => [ 'base' => NULL, 'refs' => [ 'BatchDeleteClusterNodesRequest$ClusterName' => 'The name of the SageMaker HyperPod cluster from which to delete the specified nodes.
', 'DeleteClusterRequest$ClusterName' => 'The string name or the Amazon Resource Name (ARN) of the SageMaker HyperPod cluster to delete.
', 'DescribeClusterNodeRequest$ClusterName' => 'The string name or the Amazon Resource Name (ARN) of the SageMaker HyperPod cluster in which the node is.
', 'DescribeClusterRequest$ClusterName' => 'The string name or the Amazon Resource Name (ARN) of the SageMaker HyperPod cluster.
', 'ListClusterNodesRequest$ClusterName' => 'The string name or the Amazon Resource Name (ARN) of the SageMaker HyperPod cluster in which you want to retrieve the list of nodes.
', 'UpdateClusterRequest$ClusterName' => 'Specify the name of the SageMaker HyperPod cluster you want to update.
', 'UpdateClusterSoftwareRequest$ClusterName' => 'Specify the name or the Amazon Resource Name (ARN) of the SageMaker HyperPod cluster you want to update for security patching.
', ], ], 'ClusterNodeDetails' => [ 'base' => 'Details of an instance (also called a node interchangeably) in a SageMaker HyperPod cluster.
', 'refs' => [ 'DescribeClusterNodeResponse$NodeDetails' => 'The details of the SageMaker HyperPod cluster node.
', ], ], 'ClusterNodeId' => [ 'base' => NULL, 'refs' => [ 'BatchDeleteClusterNodesError$NodeId' => 'The ID of the node that encountered an error during the deletion process.
', 'ClusterNodeIds$member' => NULL, 'DescribeClusterNodeRequest$NodeId' => 'The ID of the SageMaker HyperPod cluster node.
', ], ], 'ClusterNodeIds' => [ 'base' => NULL, 'refs' => [ 'BatchDeleteClusterNodesRequest$NodeIds' => 'A list of node IDs to be deleted from the specified cluster.
For SageMaker HyperPod clusters using the Slurm workload manager, you cannot remove instances that are configured as Slurm controller nodes.
A list of node IDs that were successfully deleted from the specified cluster.
', ], ], 'ClusterNodeRecovery' => [ 'base' => NULL, 'refs' => [ 'CreateClusterRequest$NodeRecovery' => 'The node recovery mode for the SageMaker HyperPod cluster. When set to Automatic, SageMaker HyperPod will automatically reboot or replace faulty nodes when issues are detected. When set to None, cluster administrators will need to manually manage any faulty cluster instances.
The node recovery mode configured for the SageMaker HyperPod cluster.
', 'UpdateClusterRequest$NodeRecovery' => 'The node recovery mode to be applied to the SageMaker HyperPod cluster.
', ], ], 'ClusterNodeSummaries' => [ 'base' => NULL, 'refs' => [ 'ListClusterNodesResponse$ClusterNodeSummaries' => 'The summaries of listed instances in a SageMaker HyperPod cluster
', ], ], 'ClusterNodeSummary' => [ 'base' => 'Lists a summary of the properties of an instance (also called a node interchangeably) of a SageMaker HyperPod cluster.
', 'refs' => [ 'ClusterNodeSummaries$member' => NULL, ], ], 'ClusterNonNegativeInstanceCount' => [ 'base' => NULL, 'refs' => [ 'ClusterInstanceGroupDetails$CurrentCount' => 'The number of instances that are currently in the instance group of a SageMaker HyperPod cluster.
', ], ], 'ClusterOrchestrator' => [ 'base' => 'The type of orchestrator used for the SageMaker HyperPod cluster.
', 'refs' => [ 'CreateClusterRequest$Orchestrator' => 'The type of orchestrator to use for the SageMaker HyperPod cluster. Currently, the only supported value is "eks", which is to use an Amazon Elastic Kubernetes Service (EKS) cluster as the orchestrator.
The type of orchestrator used for the SageMaker HyperPod cluster.
', ], ], 'ClusterOrchestratorEksConfig' => [ 'base' => 'The configuration settings for the Amazon EKS cluster used as the orchestrator for the SageMaker HyperPod cluster.
', 'refs' => [ 'ClusterOrchestrator$Eks' => 'The Amazon EKS cluster used as the orchestrator for the SageMaker HyperPod cluster.
', ], ], 'ClusterPrivateDnsHostname' => [ 'base' => NULL, 'refs' => [ 'ClusterNodeDetails$PrivateDnsHostname' => 'The private DNS hostname of the SageMaker HyperPod cluster node.
', ], ], 'ClusterPrivatePrimaryIp' => [ 'base' => NULL, 'refs' => [ 'ClusterNodeDetails$PrivatePrimaryIp' => 'The private primary IP address of the SageMaker HyperPod cluster node.
', ], ], 'ClusterSchedulerConfigArn' => [ 'base' => NULL, 'refs' => [ 'ClusterSchedulerConfigSummary$ClusterSchedulerConfigArn' => 'ARN of the cluster policy.
', 'CreateClusterSchedulerConfigResponse$ClusterSchedulerConfigArn' => 'ARN of the cluster policy.
', 'DescribeClusterSchedulerConfigResponse$ClusterSchedulerConfigArn' => 'ARN of the cluster policy.
', 'UpdateClusterSchedulerConfigResponse$ClusterSchedulerConfigArn' => 'ARN of the cluster policy.
', ], ], 'ClusterSchedulerConfigId' => [ 'base' => NULL, 'refs' => [ 'ClusterSchedulerConfigSummary$ClusterSchedulerConfigId' => 'ID of the cluster policy.
', 'CreateClusterSchedulerConfigResponse$ClusterSchedulerConfigId' => 'ID of the cluster policy.
', 'DeleteClusterSchedulerConfigRequest$ClusterSchedulerConfigId' => 'ID of the cluster policy.
', 'DescribeClusterSchedulerConfigRequest$ClusterSchedulerConfigId' => 'ID of the cluster policy.
', 'DescribeClusterSchedulerConfigResponse$ClusterSchedulerConfigId' => 'ID of the cluster policy.
', 'UpdateClusterSchedulerConfigRequest$ClusterSchedulerConfigId' => 'ID of the cluster policy.
', ], ], 'ClusterSchedulerConfigSummary' => [ 'base' => 'Summary of the cluster policy.
', 'refs' => [ 'ClusterSchedulerConfigSummaryList$member' => NULL, ], ], 'ClusterSchedulerConfigSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListClusterSchedulerConfigsResponse$ClusterSchedulerConfigSummaries' => 'Summaries of the cluster policies.
', ], ], 'ClusterSchedulerPriorityClassName' => [ 'base' => NULL, 'refs' => [ 'PriorityClass$Name' => 'Name of the priority class.
', ], ], 'ClusterSortBy' => [ 'base' => NULL, 'refs' => [ 'ListClusterNodesRequest$SortBy' => 'The field by which to sort results. The default value is CREATION_TIME.
The field by which to sort results. The default value is CREATION_TIME.
The status of the SageMaker HyperPod cluster.
', 'DescribeClusterResponse$ClusterStatus' => 'The status of the SageMaker HyperPod cluster.
', ], ], 'ClusterSummaries' => [ 'base' => NULL, 'refs' => [ 'ListClustersResponse$ClusterSummaries' => 'The summaries of listed SageMaker HyperPod clusters.
', ], ], 'ClusterSummary' => [ 'base' => 'Lists a summary of the properties of a SageMaker HyperPod cluster.
', 'refs' => [ 'ClusterSummaries$member' => NULL, ], ], 'ClusterThreadsPerCore' => [ 'base' => NULL, 'refs' => [ 'ClusterInstanceGroupDetails$ThreadsPerCore' => 'The number you specified to TreadsPerCore in CreateCluster for enabling or disabling multithreading. For instance types that support multithreading, you can specify 1 for disabling multithreading and 2 for enabling multithreading. For more information, see the reference table of CPU cores and threads per CPU core per instance type in the Amazon Elastic Compute Cloud User Guide.
Specifies the value for Threads per core. For instance types that support multithreading, you can specify 1 for disabling multithreading and 2 for enabling multithreading. For instance types that doesn\'t support multithreading, specify 1. For more information, see the reference table of CPU cores and threads per CPU core per instance type in the Amazon Elastic Compute Cloud User Guide.
The number of threads per CPU core you specified under CreateCluster.
The configuration for the file system and kernels in a SageMaker image running as a Code Editor app. The FileSystemConfig object is not supported.
The configuration for the file system and the runtime, such as the environment variables and entry point.
', 'CreateAppImageConfigRequest$CodeEditorAppImageConfig' => 'The CodeEditorAppImageConfig. You can only specify one image kernel in the AppImageConfig API. This kernel is shown to users before the image starts. After the image runs, all kernels are visible in Code Editor.
The configuration of the Code Editor app.
', 'UpdateAppImageConfigRequest$CodeEditorAppImageConfig' => 'The Code Editor app running on the image.
', ], ], 'CodeEditorAppSettings' => [ 'base' => 'The Code Editor application settings.
For more information about Code Editor, see Get started with Code Editor in Amazon SageMaker.
', 'refs' => [ 'UserSettings$CodeEditorAppSettings' => 'The Code Editor application settings.
SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn\'t apply these settings to shared spaces.
', ], ], 'CodeRepositories' => [ 'base' => NULL, 'refs' => [ 'JupyterLabAppSettings$CodeRepositories' => 'A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.
', 'JupyterServerAppSettings$CodeRepositories' => 'A list of Git repositories that SageMaker AI automatically displays to users for cloning in the JupyterServer application.
', 'SpaceJupyterLabAppSettings$CodeRepositories' => 'A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.
', ], ], 'CodeRepository' => [ 'base' => 'A Git repository that SageMaker AI automatically displays to users for cloning in the JupyterServer application.
', 'refs' => [ 'CodeRepositories$member' => NULL, ], ], 'CodeRepositoryArn' => [ 'base' => NULL, 'refs' => [ 'CodeRepositorySummary$CodeRepositoryArn' => 'The Amazon Resource Name (ARN) of the Git repository.
', 'CreateCodeRepositoryOutput$CodeRepositoryArn' => 'The Amazon Resource Name (ARN) of the new repository.
', 'DescribeCodeRepositoryOutput$CodeRepositoryArn' => 'The Amazon Resource Name (ARN) of the Git repository.
', 'UpdateCodeRepositoryOutput$CodeRepositoryArn' => 'The ARN of the Git repository.
', ], ], 'CodeRepositoryContains' => [ 'base' => NULL, 'refs' => [ 'ListNotebookInstancesInput$DefaultCodeRepositoryContains' => 'A string in the name or URL of a Git repository associated with this notebook instance. This filter returns only notebook instances associated with a git repository with a name that contains the specified string.
', ], ], 'CodeRepositoryNameContains' => [ 'base' => NULL, 'refs' => [ 'ListCodeRepositoriesInput$NameContains' => 'A string in the Git repositories name. This filter returns only repositories whose name contains the specified string.
', ], ], 'CodeRepositoryNameOrUrl' => [ 'base' => NULL, 'refs' => [ 'AdditionalCodeRepositoryNamesOrUrls$member' => NULL, 'CreateNotebookInstanceInput$DefaultCodeRepository' => 'A Git repository to associate with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.
', 'DescribeNotebookInstanceOutput$DefaultCodeRepository' => 'The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.
', 'ListNotebookInstancesInput$AdditionalCodeRepositoryEquals' => 'A filter that returns only notebook instances with associated with the specified git repository.
', 'NotebookInstanceSummary$DefaultCodeRepository' => 'The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.
', 'UpdateNotebookInstanceInput$DefaultCodeRepository' => 'The Git repository to associate with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.
', ], ], 'CodeRepositorySortBy' => [ 'base' => NULL, 'refs' => [ 'ListCodeRepositoriesInput$SortBy' => 'The field to sort results by. The default is Name.
The sort order for results. The default is Ascending.
Specifies summary information about a Git repository.
', 'refs' => [ 'CodeRepositorySummaryList$member' => NULL, ], ], 'CodeRepositorySummaryList' => [ 'base' => NULL, 'refs' => [ 'ListCodeRepositoriesOutput$CodeRepositorySummaryList' => 'Gets a list of summaries of the Git repositories. Each summary specifies the following values for the repository:
Name
Amazon Resource Name (ARN)
Creation time
Last modified time
Configuration information, including the URL location of the repository and the ARN of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository.
Use this parameter to configure your Amazon Cognito workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool.
', 'refs' => [ 'CreateWorkforceRequest$CognitoConfig' => 'Use this parameter to configure an Amazon Cognito private workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool.
Do not use OidcConfig if you specify values for CognitoConfig.
The configuration of an Amazon Cognito workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool.
', ], ], 'CognitoMemberDefinition' => [ 'base' => 'Identifies a Amazon Cognito user group. A user group can be used in on or more work teams.
', 'refs' => [ 'MemberDefinition$CognitoMemberDefinition' => 'The Amazon Cognito user group that is part of the work team.
', ], ], 'CognitoUserGroup' => [ 'base' => NULL, 'refs' => [ 'CognitoMemberDefinition$UserGroup' => 'An identifier for a user group.
', ], ], 'CognitoUserPool' => [ 'base' => NULL, 'refs' => [ 'CognitoConfig$UserPool' => 'A user pool is a user directory in Amazon Cognito. With a user pool, your users can sign in to your web or mobile app through Amazon Cognito. Your users can also sign in through social identity providers like Google, Facebook, Amazon, or Apple, and through SAML identity providers.
', 'CognitoMemberDefinition$UserPool' => 'An identifier for a user pool. The user pool must be in the same region as the service that you are calling.
', ], ], 'CollectionConfig' => [ 'base' => 'Configuration for your collection.
', 'refs' => [ 'FeatureDefinition$CollectionConfig' => 'Configuration for your collection.
', ], ], 'CollectionConfiguration' => [ 'base' => 'Configuration information for the Amazon SageMaker Debugger output tensor collections.
', 'refs' => [ 'CollectionConfigurations$member' => NULL, ], ], 'CollectionConfigurations' => [ 'base' => NULL, 'refs' => [ 'DebugHookConfig$CollectionConfigurations' => 'Configuration information for Amazon SageMaker Debugger tensor collections. To learn more about how to configure the CollectionConfiguration parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.
The name of the tensor collection. The name must be unique relative to other rule configuration names.
', ], ], 'CollectionParameters' => [ 'base' => NULL, 'refs' => [ 'CollectionConfiguration$CollectionParameters' => 'Parameter values for the tensor collection. The allowed parameters are "name", "include_regex", "reduction_config", "save_config", "tensor_names", and "save_histogram".
A grouping of elements where each element within the collection must have the same feature type (String, Integral, or Fractional).
List: An ordered collection of elements.
Set: An unordered collection of unique elements.
Vector: A specialized list that represents a fixed-size array of elements. The vector dimension is determined by you. Must have elements with fractional feature types.
The Amazon Resource Name (ARN) of the model compilation job.
', 'CreateCompilationJobResponse$CompilationJobArn' => 'If the action is successful, the service sends back an HTTP 200 response. Amazon SageMaker AI returns the following data in JSON format:
CompilationJobArn: The Amazon Resource Name (ARN) of the compiled job.
The Amazon Resource Name (ARN) of the model compilation job.
', ], ], 'CompilationJobStatus' => [ 'base' => NULL, 'refs' => [ 'CompilationJobSummary$CompilationJobStatus' => 'The status of the model compilation job.
', 'DescribeCompilationJobResponse$CompilationJobStatus' => 'The status of the model compilation job.
', 'ListCompilationJobsRequest$StatusEquals' => 'A filter that retrieves model compilation jobs with a specific CompilationJobStatus status.
An array of CompilationJobSummary objects, each describing a model compilation job.
', ], ], 'CompilationJobSummary' => [ 'base' => 'A summary of a model compilation job.
', 'refs' => [ 'CompilationJobSummaries$member' => NULL, ], ], 'CompilerOptions' => [ 'base' => NULL, 'refs' => [ 'OutputConfig$CompilerOptions' => 'Specifies additional parameters for compiler options in JSON format. The compiler options are TargetPlatform specific. It is required for NVIDIA accelerators and highly recommended for CPU compilations. For any other cases, it is optional to specify CompilerOptions.
DTYPE: Specifies the data type for the input. When compiling for ml_* (except for ml_inf) instances using PyTorch framework, provide the data type (dtype) of the model\'s input. "float32" is used if "DTYPE" is not specified. Options for data type are:
float32: Use either "float" or "float32".
int64: Use either "int64" or "long".
For example, {"dtype" : "float32"}.
CPU: Compilation for CPU supports the following compiler options.
mcpu: CPU micro-architecture. For example, {\'mcpu\': \'skylake-avx512\'}
mattr: CPU flags. For example, {\'mattr\': [\'+neon\', \'+vfpv4\']}
ARM: Details of ARM CPU compilations.
NEON: NEON is an implementation of the Advanced SIMD extension used in ARMv7 processors.
For example, add {\'mattr\': [\'+neon\']} to the compiler options if compiling for ARM 32-bit platform with the NEON support.
NVIDIA: Compilation for NVIDIA GPU supports the following compiler options.
gpu_code: Specifies the targeted architecture.
trt-ver: Specifies the TensorRT versions in x.y.z. format.
cuda-ver: Specifies the CUDA version in x.y format.
For example, {\'gpu-code\': \'sm_72\', \'trt-ver\': \'6.0.1\', \'cuda-ver\': \'10.1\'}
ANDROID: Compilation for the Android OS supports the following compiler options:
ANDROID_PLATFORM: Specifies the Android API levels. Available levels range from 21 to 29. For example, {\'ANDROID_PLATFORM\': 28}.
mattr: Add {\'mattr\': [\'+neon\']} to compiler options if compiling for ARM 32-bit platform with NEON support.
INFERENTIA: Compilation for target ml_inf1 uses compiler options passed in as a JSON string. For example, "CompilerOptions": "\\"--verbose 1 --num-neuroncores 2 -O2\\"".
For information about supported compiler options, see Neuron Compiler CLI Reference Guide.
CoreML: Compilation for the CoreML OutputConfig TargetDevice supports the following compiler options:
class_labels: Specifies the classification labels file name inside input tar.gz file. For example, {"class_labels": "imagenet_labels_1000.txt"}. Labels inside the txt file should be separated by newlines.
A flag to stop a tuning job once AMT has detected that the job has converged.
', ], ], 'CompressionType' => [ 'base' => NULL, 'refs' => [ 'AdditionalS3DataSource$CompressionType' => 'The type of compression used for an additional data source used in inference or training. Specify None if your additional data source is not compressed.
You can use Gzip or None. The default value is None.
The allowed compression types depend on the input format and problem type. We allow the compression type Gzip for S3Prefix inputs on tabular data only. For all other inputs, the compression type should be None. If no compression type is provided, we default to None.
If training data is compressed, the compression type. The default value is None. CompressionType is used only in Pipe input mode. In File mode, leave this field unset or set it to None.
If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is None.
The allowed compression types, if data compression is used.
', ], ], 'ComputeQuotaArn' => [ 'base' => NULL, 'refs' => [ 'ComputeQuotaSummary$ComputeQuotaArn' => 'ARN of the compute allocation definition.
', 'CreateComputeQuotaResponse$ComputeQuotaArn' => 'ARN of the compute allocation definition.
', 'DescribeComputeQuotaResponse$ComputeQuotaArn' => 'ARN of the compute allocation definition.
', 'UpdateComputeQuotaResponse$ComputeQuotaArn' => 'ARN of the compute allocation definition.
', ], ], 'ComputeQuotaConfig' => [ 'base' => 'Configuration of the compute allocation definition for an entity. This includes the resource sharing option and the setting to preempt low priority tasks.
', 'refs' => [ 'ComputeQuotaSummary$ComputeQuotaConfig' => 'Configuration of the compute allocation definition. This includes the resource sharing option, and the setting to preempt low priority tasks.
', 'CreateComputeQuotaRequest$ComputeQuotaConfig' => 'Configuration of the compute allocation definition. This includes the resource sharing option, and the setting to preempt low priority tasks.
', 'DescribeComputeQuotaResponse$ComputeQuotaConfig' => 'Configuration of the compute allocation definition. This includes the resource sharing option, and the setting to preempt low priority tasks.
', 'UpdateComputeQuotaRequest$ComputeQuotaConfig' => 'Configuration of the compute allocation definition. This includes the resource sharing option, and the setting to preempt low priority tasks.
', ], ], 'ComputeQuotaId' => [ 'base' => NULL, 'refs' => [ 'ComputeQuotaSummary$ComputeQuotaId' => 'ID of the compute allocation definition.
', 'CreateComputeQuotaResponse$ComputeQuotaId' => 'ID of the compute allocation definition.
', 'DeleteComputeQuotaRequest$ComputeQuotaId' => 'ID of the compute allocation definition.
', 'DescribeComputeQuotaRequest$ComputeQuotaId' => 'ID of the compute allocation definition.
', 'DescribeComputeQuotaResponse$ComputeQuotaId' => 'ID of the compute allocation definition.
', 'UpdateComputeQuotaRequest$ComputeQuotaId' => 'ID of the compute allocation definition.
', ], ], 'ComputeQuotaResourceConfig' => [ 'base' => 'Configuration of the resources used for the compute allocation definition.
', 'refs' => [ 'ComputeQuotaResourceConfigList$member' => NULL, ], ], 'ComputeQuotaResourceConfigList' => [ 'base' => NULL, 'refs' => [ 'ComputeQuotaConfig$ComputeQuotaResources' => 'Allocate compute resources by instance types.
', ], ], 'ComputeQuotaSummary' => [ 'base' => 'Summary of the compute allocation definition.
', 'refs' => [ 'ComputeQuotaSummaryList$member' => NULL, ], ], 'ComputeQuotaSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListComputeQuotasResponse$ComputeQuotaSummaries' => 'Summaries of the compute allocation definitions.
', ], ], 'ComputeQuotaTarget' => [ 'base' => 'The target entity to allocate compute resources to.
', 'refs' => [ 'ComputeQuotaSummary$ComputeQuotaTarget' => 'The target entity to allocate compute resources to.
', 'CreateComputeQuotaRequest$ComputeQuotaTarget' => 'The target entity to allocate compute resources to.
', 'DescribeComputeQuotaResponse$ComputeQuotaTarget' => 'The target entity to allocate compute resources to.
', 'UpdateComputeQuotaRequest$ComputeQuotaTarget' => 'The target entity to allocate compute resources to.
', ], ], 'ComputeQuotaTargetTeamName' => [ 'base' => NULL, 'refs' => [ 'ComputeQuotaTarget$TeamName' => 'Name of the team to allocate compute resources to.
', ], ], 'ConditionOutcome' => [ 'base' => NULL, 'refs' => [ 'ConditionStepMetadata$Outcome' => 'The outcome of the Condition step evaluation.
', ], ], 'ConditionStepMetadata' => [ 'base' => 'Metadata for a Condition step.
', 'refs' => [ 'PipelineExecutionStepMetadata$Condition' => 'The outcome of the condition evaluation that was run by this step execution.
', ], ], 'ConfigKey' => [ 'base' => NULL, 'refs' => [ 'CollectionParameters$key' => NULL, 'HookParameters$key' => NULL, 'ProfilingParameters$key' => NULL, 'RuleParameters$key' => NULL, ], ], 'ConfigValue' => [ 'base' => NULL, 'refs' => [ 'CollectionParameters$value' => NULL, 'HookParameters$value' => NULL, 'ProfilingParameters$value' => NULL, 'RuleParameters$value' => NULL, ], ], 'ConflictException' => [ 'base' => 'There was a conflict when you attempted to modify a SageMaker entity such as an Experiment or Artifact.
The arguments for a container used to run a processing job.
', ], ], 'ContainerConfig' => [ 'base' => 'The configuration used to run the application image container.
', 'refs' => [ 'CodeEditorAppImageConfig$ContainerConfig' => NULL, 'JupyterLabAppImageConfig$ContainerConfig' => NULL, ], ], 'ContainerDefinition' => [ 'base' => 'Describes the container, as part of model definition.
', 'refs' => [ 'ContainerDefinitionList$member' => NULL, 'CreateModelInput$PrimaryContainer' => 'The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.
', 'DescribeModelOutput$PrimaryContainer' => 'The location of the primary inference code, associated artifacts, and custom environment map that the inference code uses when it is deployed in production.
', 'Model$PrimaryContainer' => NULL, ], ], 'ContainerDefinitionList' => [ 'base' => NULL, 'refs' => [ 'CreateModelInput$Containers' => 'Specifies the containers in the inference pipeline.
', 'DescribeModelOutput$Containers' => 'The containers in the inference pipeline.
', 'Model$Containers' => 'The containers in the inference pipeline.
', ], ], 'ContainerEntrypoint' => [ 'base' => NULL, 'refs' => [ 'AppSpecification$ContainerEntrypoint' => 'The entrypoint for a container used to run a processing job.
', 'DataQualityAppSpecification$ContainerEntrypoint' => 'The entrypoint for a container used to run a monitoring job.
', 'ModelQualityAppSpecification$ContainerEntrypoint' => 'Specifies the entrypoint for a container that the monitoring job runs.
', 'MonitoringAppSpecification$ContainerEntrypoint' => 'Specifies the entrypoint for a container used to run the monitoring job.
', ], ], 'ContainerEntrypointString' => [ 'base' => NULL, 'refs' => [ 'ContainerEntrypoint$member' => NULL, ], ], 'ContainerHostname' => [ 'base' => NULL, 'refs' => [ 'ContainerDefinition$ContainerHostname' => 'This parameter is ignored for models that contain only a PrimaryContainer.
When a ContainerDefinition is part of an inference pipeline, the value of the parameter uniquely identifies the container for the purposes of logging and metrics. For information, see Use Logs and Metrics to Monitor an Inference Pipeline. If you don\'t specify a value for this parameter for a ContainerDefinition that is part of an inference pipeline, a unique name is automatically assigned based on the position of the ContainerDefinition in the pipeline. If you specify a value for the ContainerHostName for any ContainerDefinition that is part of an inference pipeline, you must specify a value for the ContainerHostName parameter of every ContainerDefinition in that pipeline.
The DNS host name for the Docker container.
', ], ], 'ContainerImage' => [ 'base' => NULL, 'refs' => [ 'AutoMLContainerDefinition$Image' => 'The Amazon Elastic Container Registry (Amazon ECR) path of the container. For more information, see ContainerDefinition.
', 'ContainerDefinition$Image' => 'The path where inference code is stored. This can be either in Amazon EC2 Container Registry or in a Docker registry that is accessible from the same VPC that you configure for your endpoint. If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
The model artifacts in an Amazon S3 bucket and the Docker image for inference container in Amazon EC2 Container Registry must be in the same region as the model or endpoint you are creating.
The image path you specified when you created the model.
', 'DeployedImage$ResolvedImage' => 'The specific digest path of the image hosted in this ProductionVariant.
The Amazon Elastic Container Registry (Amazon ECR) path where the Docker image for the model is stored.
', 'ModelPackageContainerDefinition$Image' => 'The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
The Amazon ECR registry path of the Docker image that contains the training algorithm.
', ], ], 'ContainerMode' => [ 'base' => NULL, 'refs' => [ 'ContainerDefinition$Mode' => 'Whether the container hosts a single model or multiple models.
', ], ], 'ContentClassifier' => [ 'base' => NULL, 'refs' => [ 'ContentClassifiers$member' => NULL, ], ], 'ContentClassifiers' => [ 'base' => NULL, 'refs' => [ 'LabelingJobDataAttributes$ContentClassifiers' => 'Declares that your content is free of personally identifiable information or adult content. SageMaker may restrict the Amazon Mechanical Turk workers that can view your task based on this information.
', ], ], 'ContentColumn' => [ 'base' => NULL, 'refs' => [ 'TextClassificationJobConfig$ContentColumn' => 'The name of the column used to provide the sentences to be classified. It should not be the same as the target column.
', ], ], 'ContentDigest' => [ 'base' => NULL, 'refs' => [ 'FileSource$ContentDigest' => 'The digest of the file source.
', 'MetricsSource$ContentDigest' => 'The hash key used for the metrics source.
', ], ], 'ContentType' => [ 'base' => NULL, 'refs' => [ 'AutoMLChannel$ContentType' => 'The content type of the data from the input source. You can use text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
The content type of the data from the input source. The following are the allowed content types for different problems:
For tabular problem types: text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
For image classification: image/png, image/jpeg, or image/*. The default value is image/*.
For text classification: text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
For time-series forecasting: text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
For text generation (LLMs fine-tuning): text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
The MIME type of the data.
', 'ContentTypes$member' => NULL, 'FileSource$ContentType' => 'The type of content stored in the file source.
', 'MetricsSource$ContentType' => 'The metric source content type.
', 'TransformInput$ContentType' => 'The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.
', ], ], 'ContentTypes' => [ 'base' => NULL, 'refs' => [ 'AdditionalInferenceSpecificationDefinition$SupportedContentTypes' => 'The supported MIME types for the input data.
', 'ChannelSpecification$SupportedContentTypes' => 'The supported MIME types for the data.
', 'InferenceSpecification$SupportedContentTypes' => 'The supported MIME types for the input data.
', ], ], 'ContextArn' => [ 'base' => NULL, 'refs' => [ 'ContextSummary$ContextArn' => 'The Amazon Resource Name (ARN) of the context.
', 'CreateContextResponse$ContextArn' => 'The Amazon Resource Name (ARN) of the context.
', 'DeleteContextResponse$ContextArn' => 'The Amazon Resource Name (ARN) of the context.
', 'DescribeContextResponse$ContextArn' => 'The Amazon Resource Name (ARN) of the context.
', 'UpdateContextResponse$ContextArn' => 'The Amazon Resource Name (ARN) of the context.
', ], ], 'ContextName' => [ 'base' => NULL, 'refs' => [ 'ContextSummary$ContextName' => 'The name of the context.
', 'CreateContextRequest$ContextName' => 'The name of the context. Must be unique to your account in an Amazon Web Services Region.
', 'DeleteContextRequest$ContextName' => 'The name of the context to delete.
', 'DescribeContextResponse$ContextName' => 'The name of the context.
', 'UpdateContextRequest$ContextName' => 'The name of the context to update.
', ], ], 'ContextNameOrArn' => [ 'base' => NULL, 'refs' => [ 'DescribeContextRequest$ContextName' => 'The name of the context to describe.
', ], ], 'ContextSource' => [ 'base' => 'A structure describing the source of a context.
', 'refs' => [ 'ContextSummary$Source' => 'The source of the context.
', 'CreateContextRequest$Source' => 'The source type, ID, and URI.
', 'DescribeContextResponse$Source' => 'The source of the context.
', ], ], 'ContextSummaries' => [ 'base' => NULL, 'refs' => [ 'ListContextsResponse$ContextSummaries' => 'A list of contexts and their properties.
', ], ], 'ContextSummary' => [ 'base' => 'Lists a summary of the properties of a context. A context provides a logical grouping of other entities.
', 'refs' => [ 'ContextSummaries$member' => NULL, ], ], 'ContinuousParameterRange' => [ 'base' => 'A list of continuous hyperparameters to tune.
', 'refs' => [ 'ContinuousParameterRanges$member' => NULL, ], ], 'ContinuousParameterRangeSpecification' => [ 'base' => 'Defines the possible values for a continuous hyperparameter.
', 'refs' => [ 'ParameterRange$ContinuousParameterRangeSpecification' => 'A ContinuousParameterRangeSpecification object that defines the possible values for a continuous hyperparameter.
The array of ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a hyperparameter tuning job searches.
', ], ], 'ConvergenceDetected' => [ 'base' => 'A flag to indicating that automatic model tuning (AMT) has detected model convergence, defined as a lack of significant improvement (1% or less) against an objective metric.
', 'refs' => [ 'TuningJobCompletionCriteria$ConvergenceDetected' => 'A flag to top your hyperparameter tuning job if automatic model tuning (AMT) has detected that your model has converged as evaluated against your objective function.
', ], ], 'CountryCode' => [ 'base' => NULL, 'refs' => [ 'HolidayConfigAttributes$CountryCode' => 'The country code for the holiday calendar.
For the list of public holiday calendars supported by AutoML job V2, see Country Codes. Use the country code corresponding to the country of your choice.
', ], ], 'CreateActionRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateActionResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateAlgorithmInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateAlgorithmOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateAppImageConfigRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateAppImageConfigResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateAppRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateAppResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateArtifactRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateArtifactResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateAutoMLJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateAutoMLJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateAutoMLJobV2Request' => [ 'base' => NULL, 'refs' => [], ], 'CreateAutoMLJobV2Response' => [ 'base' => NULL, 'refs' => [], ], 'CreateClusterRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateClusterResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateClusterSchedulerConfigRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateClusterSchedulerConfigResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateCodeRepositoryInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateCodeRepositoryOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateCompilationJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateCompilationJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateComputeQuotaRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateComputeQuotaResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateContextRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateContextResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateDataQualityJobDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateDataQualityJobDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateDeviceFleetRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateDomainRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateDomainResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateEdgeDeploymentPlanRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateEdgeDeploymentPlanResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateEdgeDeploymentStageRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateEdgePackagingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateEndpointConfigInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateEndpointConfigOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateEndpointInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateEndpointOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateExperimentRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateExperimentResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateFeatureGroupRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateFeatureGroupResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateFlowDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateFlowDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateHubContentReferenceRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateHubContentReferenceResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateHubRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateHubResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateHumanTaskUiRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateHumanTaskUiResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateHyperParameterTuningJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateHyperParameterTuningJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateImageRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateImageResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateImageVersionRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateImageVersionResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateInferenceComponentInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateInferenceComponentOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateInferenceExperimentRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateInferenceExperimentResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateInferenceRecommendationsJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateInferenceRecommendationsJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateLabelingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateLabelingJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateMlflowTrackingServerRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateMlflowTrackingServerResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelBiasJobDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelBiasJobDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelCardExportJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelCardExportJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelCardRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelCardResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelExplainabilityJobDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelExplainabilityJobDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelPackageGroupInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelPackageGroupOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelPackageInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelPackageOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelQualityJobDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelQualityJobDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateMonitoringScheduleRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateMonitoringScheduleResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateNotebookInstanceInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateNotebookInstanceLifecycleConfigInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateNotebookInstanceLifecycleConfigOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateNotebookInstanceOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateOptimizationJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateOptimizationJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreatePartnerAppPresignedUrlRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreatePartnerAppPresignedUrlResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreatePartnerAppRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreatePartnerAppResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreatePipelineRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreatePipelineResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreatePresignedDomainUrlRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreatePresignedDomainUrlResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreatePresignedMlflowTrackingServerUrlRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreatePresignedMlflowTrackingServerUrlResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreatePresignedNotebookInstanceUrlInput' => [ 'base' => NULL, 'refs' => [], ], 'CreatePresignedNotebookInstanceUrlOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateProcessingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateProcessingJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateProjectInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateProjectOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateSpaceRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateSpaceResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateStudioLifecycleConfigRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateStudioLifecycleConfigResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateTrainingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateTrainingJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateTrainingPlanRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateTrainingPlanResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateTransformJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateTransformJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateTrialComponentRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateTrialComponentResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateTrialRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateTrialResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateUserProfileRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateUserProfileResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateWorkforceRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateWorkforceResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateWorkteamRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateWorkteamResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreationTime' => [ 'base' => NULL, 'refs' => [ 'AlgorithmSummary$CreationTime' => 'A timestamp that shows when the algorithm was created.
', 'AppDetails$CreationTime' => 'The creation time.
', 'BatchDescribeModelPackageSummary$CreationTime' => 'The creation time of the mortgage package summary.
', 'CodeRepositorySummary$CreationTime' => 'The date and time that the Git repository was created.
', 'CompilationJobSummary$CreationTime' => 'The time when the model compilation job was created.
', 'DescribeAlgorithmOutput$CreationTime' => 'A timestamp specifying when the algorithm was created.
', 'DescribeCodeRepositoryOutput$CreationTime' => 'The date and time that the repository was created.
', 'DescribeCompilationJobResponse$CreationTime' => 'The time that the model compilation job was created.
', 'DescribeDomainResponse$CreationTime' => 'The creation time.
', 'DescribeFeatureGroupResponse$CreationTime' => 'A timestamp indicating when SageMaker created the FeatureGroup.
A timestamp indicating when the feature was created.
', 'DescribeInferenceRecommendationsJobResponse$CreationTime' => 'A timestamp that shows when the job was created.
', 'DescribeModelPackageGroupOutput$CreationTime' => 'The time that the model group was created.
', 'DescribeModelPackageOutput$CreationTime' => 'A timestamp specifying when the model package was created.
', 'DescribeNotebookInstanceLifecycleConfigOutput$CreationTime' => 'A timestamp that tells when the lifecycle configuration was created.
', 'DescribeNotebookInstanceOutput$CreationTime' => 'A timestamp. Use this parameter to return the time when the notebook instance was created
', 'DescribeOptimizationJobResponse$CreationTime' => 'The time when you created the optimization job.
', 'DescribeSpaceResponse$CreationTime' => 'The creation time.
', 'DescribeUserProfileResponse$CreationTime' => 'The creation time.
', 'DomainDetails$CreationTime' => 'The creation time.
', 'FeatureGroup$CreationTime' => 'The time a FeatureGroup was created.
A timestamp indicating when the feature was created.
', 'InferenceRecommendationsJob$CreationTime' => 'A timestamp that shows when the job was created.
', 'ListAlgorithmsInput$CreationTimeAfter' => 'A filter that returns only algorithms created after the specified time (timestamp).
', 'ListAlgorithmsInput$CreationTimeBefore' => 'A filter that returns only algorithms created before the specified time (timestamp).
', 'ListCodeRepositoriesInput$CreationTimeAfter' => 'A filter that returns only Git repositories that were created after the specified time.
', 'ListCodeRepositoriesInput$CreationTimeBefore' => 'A filter that returns only Git repositories that were created before the specified time.
', 'ListCompilationJobsRequest$CreationTimeAfter' => 'A filter that returns the model compilation jobs that were created after a specified time.
', 'ListCompilationJobsRequest$CreationTimeBefore' => 'A filter that returns the model compilation jobs that were created before a specified time.
', 'ListFeatureGroupsRequest$CreationTimeAfter' => 'Use this parameter to search for FeatureGroupss created after a specific date and time.
Use this parameter to search for FeatureGroupss created before a specific date and time.
A filter that returns only jobs created after the specified time (timestamp).
', 'ListInferenceRecommendationsJobsRequest$CreationTimeBefore' => 'A filter that returns only jobs created before the specified time (timestamp).
', 'ListModelPackageGroupsInput$CreationTimeAfter' => 'A filter that returns only model groups created after the specified time.
', 'ListModelPackageGroupsInput$CreationTimeBefore' => 'A filter that returns only model groups created before the specified time.
', 'ListModelPackagesInput$CreationTimeAfter' => 'A filter that returns only model packages created after the specified time (timestamp).
', 'ListModelPackagesInput$CreationTimeBefore' => 'A filter that returns only model packages created before the specified time (timestamp).
', 'ListNotebookInstanceLifecycleConfigsInput$CreationTimeBefore' => 'A filter that returns only lifecycle configurations that were created before the specified time (timestamp).
', 'ListNotebookInstanceLifecycleConfigsInput$CreationTimeAfter' => 'A filter that returns only lifecycle configurations that were created after the specified time (timestamp).
', 'ListNotebookInstancesInput$CreationTimeBefore' => 'A filter that returns only notebook instances that were created before the specified time (timestamp).
', 'ListNotebookInstancesInput$CreationTimeAfter' => 'A filter that returns only notebook instances that were created after the specified time (timestamp).
', 'ListOptimizationJobsRequest$CreationTimeAfter' => 'Filters the results to only those optimization jobs that were created after the specified time.
', 'ListOptimizationJobsRequest$CreationTimeBefore' => 'Filters the results to only those optimization jobs that were created before the specified time.
', 'ModelPackage$CreationTime' => 'The time that the model package was created.
', 'ModelPackageGroup$CreationTime' => 'The time that the model group was created.
', 'ModelPackageGroupSummary$CreationTime' => 'The time that the model group was created.
', 'ModelPackageSummary$CreationTime' => 'A timestamp that shows when the model package was created.
', 'NotebookInstanceLifecycleConfigSummary$CreationTime' => 'A timestamp that tells when the lifecycle configuration was created.
', 'NotebookInstanceSummary$CreationTime' => 'A timestamp that shows when the notebook instance was created.
', 'OptimizationJobSummary$CreationTime' => 'The time when you created the optimization job.
', 'SpaceDetails$CreationTime' => 'The creation time.
', 'UserProfileDetails$CreationTime' => 'The creation time.
', ], ], 'CrossAccountFilterOption' => [ 'base' => NULL, 'refs' => [ 'ListModelPackageGroupsInput$CrossAccountFilterOption' => 'A filter that returns either model groups shared with you or model groups in your own account. When the value is CrossAccount, the results show the resources made discoverable to you from other accounts. When the value is SameAccount or null, the results show resources from your account. The default is SameAccount.
A cross account filter option. When the value is "CrossAccount" the search results will only include resources made discoverable to you from other accounts. When the value is "SameAccount" or null the search results will only include resources from your account. Default is null. For more information on searching for resources made discoverable to your account, see Search discoverable resources in the SageMaker Developer Guide. The maximum number of ResourceCatalogs viewable is 1000.
The list of all content type headers that Amazon SageMaker AI will treat as CSV and capture accordingly.
', ], ], 'CurrencyCode' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingPlanResponse$CurrencyCode' => 'The currency code for the upfront fee (e.g., USD).
', 'TrainingPlanOffering$CurrencyCode' => 'The currency code for the upfront fee (e.g., USD).
', 'TrainingPlanSummary$CurrencyCode' => 'The currency code for the upfront fee (e.g., USD).
', ], ], 'CustomFileSystem' => [ 'base' => 'A file system, created by you, that you assign to a user profile or space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI Studio.
', 'refs' => [ 'CustomFileSystems$member' => NULL, ], ], 'CustomFileSystemConfig' => [ 'base' => 'The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI Studio.
', 'refs' => [ 'CustomFileSystemConfigs$member' => NULL, ], ], 'CustomFileSystemConfigs' => [ 'base' => NULL, 'refs' => [ 'DefaultSpaceSettings$CustomFileSystemConfigs' => 'The settings for assigning a custom file system to a domain. Permitted users can access this file system in Amazon SageMaker AI Studio.
', 'UserSettings$CustomFileSystemConfigs' => 'The settings for assigning a custom file system to a user profile. Permitted users can access this file system in Amazon SageMaker AI Studio.
SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn\'t apply these settings to shared spaces.
', ], ], 'CustomFileSystems' => [ 'base' => NULL, 'refs' => [ 'SpaceSettings$CustomFileSystems' => 'A file system, created by you, that you assign to a space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI Studio.
', ], ], 'CustomImage' => [ 'base' => 'A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.
', 'refs' => [ 'CustomImages$member' => NULL, ], ], 'CustomImageContainerArguments' => [ 'base' => NULL, 'refs' => [ 'ContainerConfig$ContainerArguments' => 'The arguments for the container when you\'re running the application.
', ], ], 'CustomImageContainerEntrypoint' => [ 'base' => NULL, 'refs' => [ 'ContainerConfig$ContainerEntrypoint' => 'The entrypoint used to run the application in the container.
', ], ], 'CustomImageContainerEnvironmentVariables' => [ 'base' => NULL, 'refs' => [ 'ContainerConfig$ContainerEnvironmentVariables' => 'The environment variables to set in the container
', ], ], 'CustomImages' => [ 'base' => NULL, 'refs' => [ 'CodeEditorAppSettings$CustomImages' => 'A list of custom SageMaker images that are configured to run as a Code Editor app.
', 'JupyterLabAppSettings$CustomImages' => 'A list of custom SageMaker images that are configured to run as a JupyterLab app.
', 'KernelGatewayAppSettings$CustomImages' => 'A list of custom SageMaker AI images that are configured to run as a KernelGateway app.
', 'RSessionAppSettings$CustomImages' => 'A list of custom SageMaker AI images that are configured to run as a RSession app.
', ], ], 'CustomPosixUserConfig' => [ 'base' => 'Details about the POSIX identity that is used for file system operations.
', 'refs' => [ 'DefaultSpaceSettings$CustomPosixUserConfig' => NULL, 'UserSettings$CustomPosixUserConfig' => 'Details about the POSIX identity that is used for file system operations.
SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn\'t apply these settings to shared spaces.
', ], ], 'CustomerMetadataKey' => [ 'base' => NULL, 'refs' => [ 'CustomerMetadataKeyList$member' => NULL, 'CustomerMetadataMap$key' => NULL, ], ], 'CustomerMetadataKeyList' => [ 'base' => NULL, 'refs' => [ 'UpdateModelPackageInput$CustomerMetadataPropertiesToRemove' => 'The metadata properties associated with the model package versions to remove.
', ], ], 'CustomerMetadataMap' => [ 'base' => NULL, 'refs' => [ 'CreateModelPackageInput$CustomerMetadataProperties' => 'The metadata properties associated with the model package versions.
', 'DescribeModelPackageOutput$CustomerMetadataProperties' => 'The metadata properties associated with the model package versions.
', 'ModelPackage$CustomerMetadataProperties' => 'The metadata properties for the model package.
', 'UpdateModelPackageInput$CustomerMetadataProperties' => 'The metadata properties associated with the model package versions.
', ], ], 'CustomerMetadataValue' => [ 'base' => NULL, 'refs' => [ 'CustomerMetadataMap$value' => NULL, ], ], 'CustomizedMetricSpecification' => [ 'base' => 'A customized metric.
', 'refs' => [ 'MetricSpecification$Customized' => 'Information about a customized metric.
', ], ], 'DataCaptureConfig' => [ 'base' => 'Configuration to control how SageMaker AI captures inference data.
', 'refs' => [ 'CreateEndpointConfigInput$DataCaptureConfig' => NULL, 'DescribeEndpointConfigOutput$DataCaptureConfig' => NULL, ], ], 'DataCaptureConfigSummary' => [ 'base' => 'The currently active data capture configuration used by your Endpoint.
', 'refs' => [ 'DescribeEndpointOutput$DataCaptureConfig' => NULL, 'Endpoint$DataCaptureConfig' => NULL, ], ], 'DataCatalogConfig' => [ 'base' => 'The meta data of the Glue table which serves as data catalog for the OfflineStore.
The meta data of the Glue table that is autogenerated when an OfflineStore is created.
Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
The URL of the notebook location.
', ], ], 'DataInputConfig' => [ 'base' => NULL, 'refs' => [ 'DerivedInformation$DerivedDataInputConfig' => 'The data input configuration that SageMaker Neo automatically derived for the model. When SageMaker Neo derives this information, you don\'t need to specify the data input configuration when you create a compilation job.
', 'InputConfig$DataInputConfig' => 'Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. The data inputs are Framework specific.
TensorFlow: You must specify the name and shape (NHWC format) of the expected data inputs using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.
Examples for one input:
If using the console, {"input":[1,1024,1024,3]}
If using the CLI, {\\"input\\":[1,1024,1024,3]}
Examples for two inputs:
If using the console, {"data1": [1,28,28,1], "data2":[1,28,28,1]}
If using the CLI, {\\"data1\\": [1,28,28,1], \\"data2\\":[1,28,28,1]}
KERAS: You must specify the name and shape (NCHW format) of expected data inputs using a dictionary format for your trained model. Note that while Keras model artifacts should be uploaded in NHWC (channel-last) format, DataInputConfig should be specified in NCHW (channel-first) format. The dictionary formats required for the console and CLI are different.
Examples for one input:
If using the console, {"input_1":[1,3,224,224]}
If using the CLI, {\\"input_1\\":[1,3,224,224]}
Examples for two inputs:
If using the console, {"input_1": [1,3,224,224], "input_2":[1,3,224,224]}
If using the CLI, {\\"input_1\\": [1,3,224,224], \\"input_2\\":[1,3,224,224]}
MXNET/ONNX/DARKNET: You must specify the name and shape (NCHW format) of the expected data inputs in order using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.
Examples for one input:
If using the console, {"data":[1,3,1024,1024]}
If using the CLI, {\\"data\\":[1,3,1024,1024]}
Examples for two inputs:
If using the console, {"var1": [1,1,28,28], "var2":[1,1,28,28]}
If using the CLI, {\\"var1\\": [1,1,28,28], \\"var2\\":[1,1,28,28]}
PyTorch: You can either specify the name and shape (NCHW format) of expected data inputs in order using a dictionary format for your trained model or you can specify the shape only using a list format. The dictionary formats required for the console and CLI are different. The list formats for the console and CLI are the same.
Examples for one input in dictionary format:
If using the console, {"input0":[1,3,224,224]}
If using the CLI, {\\"input0\\":[1,3,224,224]}
Example for one input in list format: [[1,3,224,224]]
Examples for two inputs in dictionary format:
If using the console, {"input0":[1,3,224,224], "input1":[1,3,224,224]}
If using the CLI, {\\"input0\\":[1,3,224,224], \\"input1\\":[1,3,224,224]}
Example for two inputs in list format: [[1,3,224,224], [1,3,224,224]]
XGBOOST: input data name and shape are not needed.
DataInputConfig supports the following parameters for CoreML TargetDevice (ML Model format):
shape: Input shape, for example {"input_1": {"shape": [1,224,224,3]}}. In addition to static input shapes, CoreML converter supports Flexible input shapes:
Range Dimension. You can use the Range Dimension feature if you know the input shape will be within some specific interval in that dimension, for example: {"input_1": {"shape": ["1..10", 224, 224, 3]}}
Enumerated shapes. Sometimes, the models are trained to work only on a select set of inputs. You can enumerate all supported input shapes, for example: {"input_1": {"shape": [[1, 224, 224, 3], [1, 160, 160, 3]]}}
default_shape: Default input shape. You can set a default shape during conversion for both Range Dimension and Enumerated Shapes. For example {"input_1": {"shape": ["1..10", 224, 224, 3], "default_shape": [1, 224, 224, 3]}}
type: Input type. Allowed values: Image and Tensor. By default, the converter generates an ML Model with inputs of type Tensor (MultiArray). User can set input type to be Image. Image input type requires additional input parameters such as bias and scale.
bias: If the input type is an Image, you need to provide the bias vector.
scale: If the input type is an Image, you need to provide a scale factor.
CoreML ClassifierConfig parameters can be specified using OutputConfig CompilerOptions. CoreML converter supports Tensorflow and PyTorch models. CoreML conversion examples:
Tensor type input:
"DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3]}}
Tensor type input without input name (PyTorch):
"DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224]}]
Image type input:
"DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}}
"CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}
Image type input without input name (PyTorch):
"DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}]
"CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}
Depending on the model format, DataInputConfig requires the following parameters for ml_eia2 OutputConfig:TargetDevice.
For TensorFlow models saved in the SavedModel format, specify the input names from signature_def_key and the input model shapes for DataInputConfig. Specify the signature_def_key in OutputConfig:CompilerOptions if the model does not use TensorFlow\'s default signature def key. For example:
"DataInputConfig": {"inputs": [1, 224, 224, 3]}
"CompilerOptions": {"signature_def_key": "serving_custom"}
For TensorFlow models saved as a frozen graph, specify the input tensor names and shapes in DataInputConfig and the output tensor names for output_names in OutputConfig:CompilerOptions . For example:
"DataInputConfig": {"input_tensor:0": [1, 224, 224, 3]}
"CompilerOptions": {"output_names": ["output_tensor:0"]}
The input configuration object for the model.
', ], ], 'DataProcessing' => [ 'base' => 'The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.
', 'refs' => [ 'CreateTransformJobRequest$DataProcessing' => 'The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.
', 'DescribeTransformJobResponse$DataProcessing' => NULL, 'TransformJob$DataProcessing' => NULL, ], ], 'DataQualityAppSpecification' => [ 'base' => 'Information about the container that a data quality monitoring job runs.
', 'refs' => [ 'CreateDataQualityJobDefinitionRequest$DataQualityAppSpecification' => 'Specifies the container that runs the monitoring job.
', 'DescribeDataQualityJobDefinitionResponse$DataQualityAppSpecification' => 'Information about the container that runs the data quality monitoring job.
', ], ], 'DataQualityBaselineConfig' => [ 'base' => 'Configuration for monitoring constraints and monitoring statistics. These baseline resources are compared against the results of the current job from the series of jobs scheduled to collect data periodically.
', 'refs' => [ 'CreateDataQualityJobDefinitionRequest$DataQualityBaselineConfig' => 'Configures the constraints and baselines for the monitoring job.
', 'DescribeDataQualityJobDefinitionResponse$DataQualityBaselineConfig' => 'The constraints and baselines for the data quality monitoring job definition.
', ], ], 'DataQualityJobInput' => [ 'base' => 'The input for the data quality monitoring job. Currently endpoints are supported for input.
', 'refs' => [ 'CreateDataQualityJobDefinitionRequest$DataQualityJobInput' => 'A list of inputs for the monitoring job. Currently endpoints are supported as monitoring inputs.
', 'DescribeDataQualityJobDefinitionResponse$DataQualityJobInput' => 'The list of inputs for the data quality monitoring job. Currently endpoints are supported.
', ], ], 'DataSource' => [ 'base' => 'Describes the location of the channel data.
', 'refs' => [ 'Channel$DataSource' => 'The location of the channel data.
', ], ], 'DataSourceName' => [ 'base' => NULL, 'refs' => [ 'IdentityProviderOAuthSetting$DataSourceName' => 'The name of the data source that you\'re connecting to. Canvas currently supports OAuth for Snowflake and Salesforce Data Cloud.
', ], ], 'Database' => [ 'base' => NULL, 'refs' => [ 'DataCatalogConfig$Database' => 'The name of the Glue table database.
', ], ], 'DatasetDefinition' => [ 'base' => 'Configuration for Dataset Definition inputs. The Dataset Definition input must specify exactly one of either AthenaDatasetDefinition or RedshiftDatasetDefinition types.
Configuration for a Dataset Definition input.
', ], ], 'DebugHookConfig' => [ 'base' => 'Configuration information for the Amazon SageMaker Debugger hook parameters, metric and tensor collections, and storage paths. To learn more about how to configure the DebugHookConfig parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.
Configuration information for SageMaker Debugger rules for debugging. To learn more about how to configure the DebugRuleConfiguration parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.
Configuration information for Amazon SageMaker Debugger rules for debugging output tensors.
', 'DescribeTrainingJobResponse$DebugRuleConfigurations' => 'Configuration information for Amazon SageMaker Debugger rules for debugging output tensors.
', 'TrainingJob$DebugRuleConfigurations' => 'Information about the debug rule configuration.
', ], ], 'DebugRuleEvaluationStatus' => [ 'base' => 'Information about the status of the rule evaluation.
', 'refs' => [ 'DebugRuleEvaluationStatuses$member' => NULL, ], ], 'DebugRuleEvaluationStatuses' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingJobResponse$DebugRuleEvaluationStatuses' => 'Evaluation status of Amazon SageMaker Debugger rules for debugging on a training job.
', 'TrainingJob$DebugRuleEvaluationStatuses' => 'Information about the evaluation status of the rules for the training job.
', ], ], 'DeepHealthCheckType' => [ 'base' => NULL, 'refs' => [ 'OnStartDeepHealthChecks$member' => NULL, ], ], 'DefaultEbsStorageSettings' => [ 'base' => 'A collection of default EBS storage settings that apply to spaces created within a domain or user profile.
', 'refs' => [ 'DefaultSpaceStorageSettings$DefaultEbsStorageSettings' => 'The default EBS storage settings for a space.
', ], ], 'DefaultGid' => [ 'base' => NULL, 'refs' => [ 'FileSystemConfig$DefaultGid' => 'The default POSIX group ID (GID). If not specified, defaults to 100.
The default settings for shared spaces that users create in the domain.
SageMaker applies these settings only to shared spaces. It doesn\'t apply them to private spaces.
', 'refs' => [ 'CreateDomainRequest$DefaultSpaceSettings' => 'The default settings for shared spaces that users create in the domain.
', 'DescribeDomainResponse$DefaultSpaceSettings' => 'The default settings for shared spaces that users create in the domain.
', 'UpdateDomainRequest$DefaultSpaceSettings' => 'The default settings for shared spaces that users create in the domain.
', ], ], 'DefaultSpaceStorageSettings' => [ 'base' => 'The default storage settings for a space.
', 'refs' => [ 'DefaultSpaceSettings$SpaceStorageSettings' => NULL, 'UserSettings$SpaceStorageSettings' => 'The storage settings for a space.
SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn\'t apply these settings to shared spaces.
', ], ], 'DefaultUid' => [ 'base' => NULL, 'refs' => [ 'FileSystemConfig$DefaultUid' => 'The default POSIX user ID (UID). If not specified, defaults to 1000.
The hub content dependency copy path.
', ], ], 'DependencyOriginPath' => [ 'base' => NULL, 'refs' => [ 'HubContentDependency$DependencyOriginPath' => 'The hub content dependency origin path.
', ], ], 'DeployedImage' => [ 'base' => 'Gets the Amazon EC2 Container Registry path of the docker image of the model that is hosted in this ProductionVariant.
If you used the registry/repository[:tag] form to specify the image path of the primary container when you created the model hosted in this ProductionVariant, the path resolves to a path of the form registry/repository[@digest]. A digest is a hash value that identifies a specific version of an image. For information about Amazon ECR paths, see Pulling an Image in the Amazon ECR User Guide.
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the inference images deployed on instances of this ProductionVariant.
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the inference images deployed on instances of this ProductionVariant.
The deployment configuration for an endpoint, which contains the desired deployment strategy and rollback configurations.
', 'refs' => [ 'CreateEndpointInput$DeploymentConfig' => NULL, 'DescribeEndpointOutput$LastDeploymentConfig' => 'The most recent deployment configuration for the endpoint.
', 'UpdateEndpointInput$DeploymentConfig' => 'The deployment configuration for an endpoint, which contains the desired deployment strategy and rollback configurations.
', ], ], 'DeploymentRecommendation' => [ 'base' => 'A set of recommended deployment configurations for the model. To get more advanced recommendations, see CreateInferenceRecommendationsJob to create an inference recommendation job.
', 'refs' => [ 'DescribeModelOutput$DeploymentRecommendation' => 'A set of recommended deployment configurations for the model.
', 'Model$DeploymentRecommendation' => 'A set of recommended deployment configurations for the model.
', ], ], 'DeploymentStage' => [ 'base' => 'Contains information about a stage in an edge deployment plan.
', 'refs' => [ 'DeploymentStages$member' => NULL, ], ], 'DeploymentStageMaxResults' => [ 'base' => NULL, 'refs' => [ 'DescribeEdgeDeploymentPlanRequest$MaxResults' => 'The maximum number of results to select (50 by default).
', ], ], 'DeploymentStageStatusSummaries' => [ 'base' => NULL, 'refs' => [ 'DescribeEdgeDeploymentPlanResponse$Stages' => 'List of stages in the edge deployment plan.
', ], ], 'DeploymentStageStatusSummary' => [ 'base' => 'Contains information summarizing the deployment stage results.
', 'refs' => [ 'DeploymentStageStatusSummaries$member' => NULL, ], ], 'DeploymentStages' => [ 'base' => NULL, 'refs' => [ 'CreateEdgeDeploymentPlanRequest$Stages' => 'List of stages of the edge deployment plan. The number of stages is limited to 10 per deployment.
', 'CreateEdgeDeploymentStageRequest$Stages' => 'List of stages to be added to the edge deployment plan.
', ], ], 'DeregisterDevicesRequest' => [ 'base' => NULL, 'refs' => [], ], 'DerivedInformation' => [ 'base' => 'Information that SageMaker Neo automatically derived about the model.
', 'refs' => [ 'DescribeCompilationJobResponse$DerivedInformation' => 'Information that SageMaker Neo automatically derived about the model.
', ], ], 'DescribeActionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeActionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAlgorithmInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAlgorithmOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAppImageConfigRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAppImageConfigResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAppRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAppResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeArtifactRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeArtifactResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAutoMLJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAutoMLJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAutoMLJobV2Request' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAutoMLJobV2Response' => [ 'base' => NULL, 'refs' => [], ], 'DescribeClusterNodeRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeClusterNodeResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeClusterRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeClusterResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeClusterSchedulerConfigRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeClusterSchedulerConfigResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeCodeRepositoryInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeCodeRepositoryOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeCompilationJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeCompilationJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeComputeQuotaRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeComputeQuotaResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeContextRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeContextResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDataQualityJobDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDataQualityJobDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDeviceFleetRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDeviceFleetResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDeviceRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDeviceResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDomainRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDomainResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeEdgeDeploymentPlanRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeEdgeDeploymentPlanResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeEdgePackagingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeEdgePackagingJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeEndpointConfigInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeEndpointConfigOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeEndpointInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeEndpointOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeExperimentRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeExperimentResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeFeatureGroupRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeFeatureGroupResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeFeatureMetadataRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeFeatureMetadataResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeFlowDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeFlowDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeHubContentRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeHubContentResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeHubRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeHubResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeHumanTaskUiRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeHumanTaskUiResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeHyperParameterTuningJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeHyperParameterTuningJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeImageRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeImageResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeImageVersionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeImageVersionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeInferenceComponentInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeInferenceComponentOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeInferenceExperimentRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeInferenceExperimentResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeInferenceRecommendationsJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeInferenceRecommendationsJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeLabelingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeLabelingJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeLineageGroupRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeLineageGroupResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeMlflowTrackingServerRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeMlflowTrackingServerResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelBiasJobDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelBiasJobDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelCardExportJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelCardExportJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelCardRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelCardResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelExplainabilityJobDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelExplainabilityJobDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelPackageGroupInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelPackageGroupOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelPackageInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelPackageOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelQualityJobDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelQualityJobDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeMonitoringScheduleRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeMonitoringScheduleResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeNotebookInstanceInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeNotebookInstanceLifecycleConfigInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeNotebookInstanceLifecycleConfigOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeNotebookInstanceOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeOptimizationJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeOptimizationJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribePartnerAppRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribePartnerAppResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribePipelineDefinitionForExecutionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribePipelineDefinitionForExecutionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribePipelineExecutionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribePipelineExecutionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribePipelineRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribePipelineResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeProcessingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeProcessingJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeProjectInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeProjectOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeSpaceRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeSpaceResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeStudioLifecycleConfigRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeStudioLifecycleConfigResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeSubscribedWorkteamRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeSubscribedWorkteamResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTrainingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTrainingJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTrainingPlanRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTrainingPlanResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTransformJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTransformJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTrialComponentRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTrialComponentResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTrialRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTrialResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeUserProfileRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeUserProfileResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeWorkforceRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeWorkforceResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeWorkteamRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeWorkteamResponse' => [ 'base' => NULL, 'refs' => [], ], 'Description' => [ 'base' => NULL, 'refs' => [ 'CreateFeatureGroupRequest$Description' => 'A free-form description of a FeatureGroup.
A free form description of the feature group.
', 'FeatureGroup$Description' => 'A free form description of a FeatureGroup.
Specifies weight and capacity values for a production variant.
', 'refs' => [ 'DesiredWeightAndCapacityList$member' => NULL, ], ], 'DesiredWeightAndCapacityList' => [ 'base' => NULL, 'refs' => [ 'UpdateEndpointWeightsAndCapacitiesInput$DesiredWeightsAndCapacities' => 'An object that provides new capacity and weight values for a variant.
', ], ], 'DestinationS3Uri' => [ 'base' => NULL, 'refs' => [ 'AsyncInferenceOutputConfig$S3OutputPath' => 'The Amazon S3 location to upload inference responses to.
', 'AsyncInferenceOutputConfig$S3FailurePath' => 'The Amazon S3 location to upload failure inference responses to.
', 'BatchTransformInput$DataCapturedDestinationS3Uri' => 'The Amazon S3 location being used to capture the data.
', 'DataCaptureConfig$DestinationS3Uri' => 'The Amazon S3 location used to capture the data.
', 'DataCaptureConfigSummary$DestinationS3Uri' => 'The Amazon S3 location being used to capture the data.
', 'InferenceExperimentDataStorageConfig$Destination' => 'The Amazon S3 bucket where the inference request and response data is stored.
', 'ProductionVariantCoreDumpConfig$DestinationS3Uri' => 'The Amazon S3 bucket to send the core dump to.
', ], ], 'DetailedAlgorithmStatus' => [ 'base' => NULL, 'refs' => [ 'AlgorithmStatusItem$Status' => 'The current status.
', ], ], 'DetailedModelPackageStatus' => [ 'base' => NULL, 'refs' => [ 'ModelPackageStatusItem$Status' => 'The current status.
', ], ], 'Device' => [ 'base' => 'Information of a particular device.
', 'refs' => [ 'Devices$member' => NULL, ], ], 'DeviceArn' => [ 'base' => NULL, 'refs' => [ 'DescribeDeviceResponse$DeviceArn' => 'The Amazon Resource Name (ARN) of the device.
', 'DeviceDeploymentSummary$DeviceArn' => 'The ARN of the device.
', 'DeviceSummary$DeviceArn' => 'Amazon Resource Name (ARN) of the device.
', ], ], 'DeviceDeploymentStatus' => [ 'base' => NULL, 'refs' => [ 'DeviceDeploymentSummary$DeviceDeploymentStatus' => 'The deployment status of the device.
', ], ], 'DeviceDeploymentSummaries' => [ 'base' => NULL, 'refs' => [ 'ListStageDevicesResponse$DeviceDeploymentSummaries' => 'List of summaries of devices allocated to the stage.
', ], ], 'DeviceDeploymentSummary' => [ 'base' => 'Contains information summarizing device details and deployment status.
', 'refs' => [ 'DeviceDeploymentSummaries$member' => NULL, ], ], 'DeviceDescription' => [ 'base' => NULL, 'refs' => [ 'DescribeDeviceResponse$Description' => 'A description of the device.
', 'Device$Description' => 'Description of the device.
', 'DeviceDeploymentSummary$Description' => 'The description of the device.
', 'DeviceSummary$Description' => 'A description of the device.
', ], ], 'DeviceFleetArn' => [ 'base' => NULL, 'refs' => [ 'DescribeDeviceFleetResponse$DeviceFleetArn' => 'The The Amazon Resource Name (ARN) of the fleet.
', 'DeviceFleetSummary$DeviceFleetArn' => 'Amazon Resource Name (ARN) of the device fleet.
', 'GetDeviceFleetReportResponse$DeviceFleetArn' => 'The Amazon Resource Name (ARN) of the device.
', ], ], 'DeviceFleetDescription' => [ 'base' => NULL, 'refs' => [ 'CreateDeviceFleetRequest$Description' => 'A description of the fleet.
', 'DescribeDeviceFleetResponse$Description' => 'A description of the fleet.
', 'GetDeviceFleetReportResponse$Description' => 'Description of the fleet.
', 'UpdateDeviceFleetRequest$Description' => 'Description of the fleet.
', ], ], 'DeviceFleetSummaries' => [ 'base' => NULL, 'refs' => [ 'ListDeviceFleetsResponse$DeviceFleetSummaries' => 'Summary of the device fleet.
', ], ], 'DeviceFleetSummary' => [ 'base' => 'Summary of the device fleet.
', 'refs' => [ 'DeviceFleetSummaries$member' => NULL, ], ], 'DeviceName' => [ 'base' => NULL, 'refs' => [ 'Device$DeviceName' => 'The name of the device.
', 'DeviceDeploymentSummary$DeviceName' => 'The name of the device.
', 'DeviceNames$member' => NULL, 'DeviceSelectionConfig$DeviceNameContains' => 'A filter to select devices with names containing this name.
', ], ], 'DeviceNames' => [ 'base' => NULL, 'refs' => [ 'DeregisterDevicesRequest$DeviceNames' => 'The unique IDs of the devices.
', 'DeviceSelectionConfig$DeviceNames' => 'List of devices chosen to deploy.
', ], ], 'DeviceSelectionConfig' => [ 'base' => 'Contains information about the configurations of selected devices.
', 'refs' => [ 'DeploymentStage$DeviceSelectionConfig' => 'Configuration of the devices in the stage.
', 'DeploymentStageStatusSummary$DeviceSelectionConfig' => 'Configuration of the devices in the stage.
', ], ], 'DeviceStats' => [ 'base' => 'Status of devices.
', 'refs' => [ 'GetDeviceFleetReportResponse$DeviceStats' => 'Status of devices.
', ], ], 'DeviceSubsetType' => [ 'base' => NULL, 'refs' => [ 'DeviceSelectionConfig$DeviceSubsetType' => 'Type of device subsets to deploy to the current stage.
', ], ], 'DeviceSummaries' => [ 'base' => NULL, 'refs' => [ 'ListDevicesResponse$DeviceSummaries' => 'Summary of devices.
', ], ], 'DeviceSummary' => [ 'base' => 'Summary of the device.
', 'refs' => [ 'DeviceSummaries$member' => NULL, ], ], 'Devices' => [ 'base' => NULL, 'refs' => [ 'RegisterDevicesRequest$Devices' => 'A list of devices to register with SageMaker Edge Manager.
', 'UpdateDevicesRequest$Devices' => 'List of devices to register with Edge Manager agent.
', ], ], 'Dimension' => [ 'base' => NULL, 'refs' => [ 'VectorConfig$Dimension' => 'The number of elements in your vector.
', ], ], 'DirectDeploySettings' => [ 'base' => 'The model deployment settings for the SageMaker Canvas application.
In order to enable model deployment for Canvas, the SageMaker Domain\'s or user profile\'s Amazon Web Services IAM execution role must have the AmazonSageMakerCanvasDirectDeployAccess policy attached. You can also turn on model deployment permissions through the SageMaker Domain\'s or user profile\'s settings in the SageMaker console.
The model deployment settings for the SageMaker Canvas application.
', ], ], 'DirectInternetAccess' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceInput$DirectInternetAccess' => 'Sets whether SageMaker AI provides internet access to the notebook instance. If you set this to Disabled this notebook instance is able to access resources only in your VPC, and is not be able to connect to SageMaker AI training and endpoint services unless you configure a NAT Gateway in your VPC.
For more information, see Notebook Instances Are Internet-Enabled by Default. You can set the value of this parameter to Disabled only if you set a value for the SubnetId parameter.
Describes whether SageMaker AI provides internet access to the notebook instance. If this value is set to Disabled, the notebook instance does not have internet access, and cannot connect to SageMaker AI training and endpoint services.
For more information, see Notebook Instances Are Internet-Enabled by Default.
', ], ], 'Direction' => [ 'base' => NULL, 'refs' => [ 'QueryLineageRequest$Direction' => 'Associations between lineage entities have a direction. This parameter determines the direction from the StartArn(s) that the query traverses.
', ], ], 'DirectoryPath' => [ 'base' => NULL, 'refs' => [ 'CheckpointConfig$LocalPath' => '(Optional) The local directory where checkpoints are written. The default directory is /opt/ml/checkpoints/.
Path to local storage location for metrics and tensors. Defaults to /opt/ml/output/tensors/.
Path to local storage location for output of rules. Defaults to /opt/ml/processing/output/rule/.
The full path to the directory to associate with the channel.
', 'ProfilerRuleConfiguration$LocalPath' => 'Path to local storage location for output of rules. Defaults to /opt/ml/processing/output/rule/.
Path to local storage location for tensorBoard output. Defaults to /opt/ml/output/tensorboard.
Configuration to turn off Amazon SageMaker Debugger\'s system monitoring and profiling functionality. To turn it off, set to True.
To turn off Amazon SageMaker Debugger monitoring and profiling while a training job is in progress, set to True.
A list of names or URLs of the default Git repositories to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error.
', ], ], 'DisassociateDefaultCodeRepository' => [ 'base' => NULL, 'refs' => [ 'UpdateNotebookInstanceInput$DisassociateDefaultCodeRepository' => 'The name or URL of the default Git repository to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error.
', ], ], 'DisassociateNotebookInstanceAcceleratorTypes' => [ 'base' => NULL, 'refs' => [ 'UpdateNotebookInstanceInput$DisassociateAcceleratorTypes' => 'This parameter is no longer supported. Elastic Inference (EI) is no longer available.
This parameter was used to specify a list of the EI instance types to remove from this notebook instance.
', ], ], 'DisassociateNotebookInstanceLifecycleConfig' => [ 'base' => NULL, 'refs' => [ 'UpdateNotebookInstanceInput$DisassociateLifecycleConfig' => 'Set to true to remove the notebook instance lifecycle configuration currently associated with the notebook instance. This operation is idempotent. If you specify a lifecycle configuration that is not associated with the notebook instance when you call this method, it does not throw an error.
A collection of settings that configure the domain\'s Docker interaction.
', 'refs' => [ 'DomainSettings$DockerSettings' => 'A collection of settings that configure the domain\'s Docker interaction.
', 'DomainSettingsForUpdate$DockerSettings' => 'A collection of settings that configure the domain\'s Docker interaction.
', ], ], 'DocumentSchemaVersion' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$DocumentSchemaVersion' => 'The document schema version for the hub content.
', 'HubContentInfo$DocumentSchemaVersion' => 'The version of the hub content document schema.
', 'ImportHubContentRequest$DocumentSchemaVersion' => 'The version of the hub content schema to import.
', 'ListHubContentVersionsRequest$MaxSchemaVersion' => 'The upper bound of the hub content schema version.
', 'ListHubContentsRequest$MaxSchemaVersion' => 'The upper bound of the hub content schema verion.
', ], ], 'Dollars' => [ 'base' => NULL, 'refs' => [ 'USD$Dollars' => 'The whole number of dollars in the amount.
', ], ], 'DomainArn' => [ 'base' => NULL, 'refs' => [ 'CreateDomainResponse$DomainArn' => 'The Amazon Resource Name (ARN) of the created domain.
', 'DescribeDomainResponse$DomainArn' => 'The domain\'s Amazon Resource Name (ARN).
', 'DomainDetails$DomainArn' => 'The domain\'s Amazon Resource Name (ARN).
', 'UpdateDomainResponse$DomainArn' => 'The Amazon Resource Name (ARN) of the domain.
', ], ], 'DomainDetails' => [ 'base' => 'The domain\'s details.
', 'refs' => [ 'DomainList$member' => NULL, ], ], 'DomainId' => [ 'base' => NULL, 'refs' => [ 'AppDetails$DomainId' => 'The domain ID.
', 'CreateAppRequest$DomainId' => 'The domain ID.
', 'CreatePresignedDomainUrlRequest$DomainId' => 'The domain ID.
', 'CreateSpaceRequest$DomainId' => 'The ID of the associated domain.
', 'CreateUserProfileRequest$DomainId' => 'The ID of the associated Domain.
', 'DeleteAppRequest$DomainId' => 'The domain ID.
', 'DeleteDomainRequest$DomainId' => 'The domain ID.
', 'DeleteSpaceRequest$DomainId' => 'The ID of the associated domain.
', 'DeleteUserProfileRequest$DomainId' => 'The domain ID.
', 'DescribeAppRequest$DomainId' => 'The domain ID.
', 'DescribeAppResponse$DomainId' => 'The domain ID.
', 'DescribeDomainRequest$DomainId' => 'The domain ID.
', 'DescribeDomainResponse$DomainId' => 'The domain ID.
', 'DescribeSpaceRequest$DomainId' => 'The ID of the associated domain.
', 'DescribeSpaceResponse$DomainId' => 'The ID of the associated domain.
', 'DescribeUserProfileRequest$DomainId' => 'The domain ID.
', 'DescribeUserProfileResponse$DomainId' => 'The ID of the domain that contains the profile.
', 'DomainDetails$DomainId' => 'The domain ID.
', 'ListAppsRequest$DomainIdEquals' => 'A parameter to search for the domain ID.
', 'ListSpacesRequest$DomainIdEquals' => 'A parameter to search for the domain ID.
', 'ListUserProfilesRequest$DomainIdEquals' => 'A parameter by which to filter the results.
', 'SpaceDetails$DomainId' => 'The ID of the associated domain.
', 'UpdateDomainRequest$DomainId' => 'The ID of the domain to be updated.
', 'UpdateSpaceRequest$DomainId' => 'The ID of the associated domain.
', 'UpdateUserProfileRequest$DomainId' => 'The domain ID.
', 'UserProfileDetails$DomainId' => 'The domain ID.
', ], ], 'DomainList' => [ 'base' => NULL, 'refs' => [ 'ListDomainsResponse$Domains' => 'The list of domains.
', ], ], 'DomainName' => [ 'base' => NULL, 'refs' => [ 'CreateDomainRequest$DomainName' => 'A name for the domain.
', 'DescribeDomainResponse$DomainName' => 'The domain name.
', 'DomainDetails$DomainName' => 'The domain name.
', ], ], 'DomainSecurityGroupIds' => [ 'base' => NULL, 'refs' => [ 'DomainSettings$SecurityGroupIds' => 'The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication between Domain-level apps and user apps.
The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication between Domain-level apps and user apps.
A collection of settings that apply to the SageMaker Domain. These settings are specified through the CreateDomain API call.
A collection of Domain settings.
A collection of Domain settings.
A collection of Domain configuration settings to update.
A collection of DomainSettings configuration values to update.
The status.
', 'DomainDetails$Status' => 'The status.
', ], ], 'Double' => [ 'base' => NULL, 'refs' => [ 'TargetTrackingScalingPolicyConfiguration$TargetValue' => 'The recommended target value to specify for the metric when creating a scaling policy.
', ], ], 'DoubleParameterValue' => [ 'base' => NULL, 'refs' => [ 'TrialComponentParameterValue$NumberValue' => 'The numeric value of a numeric hyperparameter. If you specify a value for this parameter, you can\'t specify the StringValue parameter.
Represents the drift check baselines that can be used when the model monitor is set using the model package.
', 'refs' => [ 'CreateModelPackageInput$DriftCheckBaselines' => 'Represents the drift check baselines that can be used when the model monitor is set using the model package. For more information, see the topic on Drift Detection against Previous Baselines in SageMaker Pipelines in the Amazon SageMaker Developer Guide.
', 'DescribeModelPackageOutput$DriftCheckBaselines' => 'Represents the drift check baselines that can be used when the model monitor is set using the model package. For more information, see the topic on Drift Detection against Previous Baselines in SageMaker Pipelines in the Amazon SageMaker Developer Guide.
', 'ModelPackage$DriftCheckBaselines' => 'Represents the drift check baselines that can be used when the model monitor is set using the model package.
', ], ], 'DriftCheckBias' => [ 'base' => 'Represents the drift check bias baselines that can be used when the model monitor is set using the model package.
', 'refs' => [ 'DriftCheckBaselines$Bias' => 'Represents the drift check bias baselines that can be used when the model monitor is set using the model package.
', ], ], 'DriftCheckExplainability' => [ 'base' => 'Represents the drift check explainability baselines that can be used when the model monitor is set using the model package.
', 'refs' => [ 'DriftCheckBaselines$Explainability' => 'Represents the drift check explainability baselines that can be used when the model monitor is set using the model package.
', ], ], 'DriftCheckModelDataQuality' => [ 'base' => 'Represents the drift check data quality baselines that can be used when the model monitor is set using the model package.
', 'refs' => [ 'DriftCheckBaselines$ModelDataQuality' => 'Represents the drift check model data quality baselines that can be used when the model monitor is set using the model package.
', ], ], 'DriftCheckModelQuality' => [ 'base' => 'Represents the drift check model quality baselines that can be used when the model monitor is set using the model package.
', 'refs' => [ 'DriftCheckBaselines$ModelQuality' => 'Represents the drift check model quality baselines that can be used when the model monitor is set using the model package.
', ], ], 'DynamicScalingConfiguration' => [ 'base' => 'An object with the recommended values for you to specify when creating an autoscaling policy.
', 'refs' => [ 'GetScalingConfigurationRecommendationResponse$DynamicScalingConfiguration' => 'An object with the recommended values for you to specify when creating an autoscaling policy.
', ], ], 'EFSFileSystem' => [ 'base' => 'A file system, created by you in Amazon EFS, that you assign to a user profile or space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI Studio.
', 'refs' => [ 'CustomFileSystem$EFSFileSystem' => 'A custom file system in Amazon EFS.
', ], ], 'EFSFileSystemConfig' => [ 'base' => 'The settings for assigning a custom Amazon EFS file system to a user profile or space for an Amazon SageMaker AI Domain.
', 'refs' => [ 'CustomFileSystemConfig$EFSFileSystemConfig' => 'The settings for a custom Amazon EFS file system.
', ], ], 'EMRStepMetadata' => [ 'base' => 'The configurations and outcomes of an Amazon EMR step execution.
', 'refs' => [ 'PipelineExecutionStepMetadata$EMR' => 'The configurations and outcomes of an Amazon EMR step execution.
', ], ], 'EbsStorageSettings' => [ 'base' => 'A collection of EBS storage settings that apply to both private and shared spaces.
', 'refs' => [ 'SpaceStorageSettings$EbsStorageSettings' => 'A collection of EBS storage settings for a space.
', ], ], 'Edge' => [ 'base' => 'A directed edge connecting two lineage entities.
', 'refs' => [ 'Edges$member' => NULL, ], ], 'EdgeDeploymentConfig' => [ 'base' => 'Contains information about the configuration of a deployment.
', 'refs' => [ 'DeploymentStage$DeploymentConfig' => 'Configuration of the deployment details.
', 'DeploymentStageStatusSummary$DeploymentConfig' => 'Configuration of the deployment details.
', ], ], 'EdgeDeploymentModelConfig' => [ 'base' => 'Contains information about the configuration of a model in a deployment.
', 'refs' => [ 'EdgeDeploymentModelConfigs$member' => NULL, ], ], 'EdgeDeploymentModelConfigs' => [ 'base' => NULL, 'refs' => [ 'CreateEdgeDeploymentPlanRequest$ModelConfigs' => 'List of models associated with the edge deployment plan.
', 'DescribeEdgeDeploymentPlanResponse$ModelConfigs' => 'List of models associated with the edge deployment plan.
', ], ], 'EdgeDeploymentPlanArn' => [ 'base' => NULL, 'refs' => [ 'CreateEdgeDeploymentPlanResponse$EdgeDeploymentPlanArn' => 'The ARN of the edge deployment plan.
', 'DescribeEdgeDeploymentPlanResponse$EdgeDeploymentPlanArn' => 'The ARN of edge deployment plan.
', 'DeviceDeploymentSummary$EdgeDeploymentPlanArn' => 'The ARN of the edge deployment plan.
', 'EdgeDeploymentPlanSummary$EdgeDeploymentPlanArn' => 'The ARN of the edge deployment plan.
', ], ], 'EdgeDeploymentPlanSummaries' => [ 'base' => NULL, 'refs' => [ 'ListEdgeDeploymentPlansResponse$EdgeDeploymentPlanSummaries' => 'List of summaries of edge deployment plans.
', ], ], 'EdgeDeploymentPlanSummary' => [ 'base' => 'Contains information summarizing an edge deployment plan.
', 'refs' => [ 'EdgeDeploymentPlanSummaries$member' => NULL, ], ], 'EdgeDeploymentStatus' => [ 'base' => 'Contains information summarizing the deployment stage results.
', 'refs' => [ 'DeploymentStageStatusSummary$DeploymentStatus' => 'General status of the current state.
', ], ], 'EdgeModel' => [ 'base' => 'The model on the edge device.
', 'refs' => [ 'EdgeModels$member' => NULL, ], ], 'EdgeModelStat' => [ 'base' => 'Status of edge devices with this model.
', 'refs' => [ 'EdgeModelStats$member' => NULL, ], ], 'EdgeModelStats' => [ 'base' => NULL, 'refs' => [ 'GetDeviceFleetReportResponse$ModelStats' => 'Status of model on device.
', ], ], 'EdgeModelSummaries' => [ 'base' => NULL, 'refs' => [ 'DeviceSummary$Models' => 'Models on the device.
', ], ], 'EdgeModelSummary' => [ 'base' => 'Summary of model on edge device.
', 'refs' => [ 'EdgeModelSummaries$member' => NULL, ], ], 'EdgeModels' => [ 'base' => NULL, 'refs' => [ 'DescribeDeviceResponse$Models' => 'Models on the device.
', ], ], 'EdgeOutputConfig' => [ 'base' => 'The output configuration.
', 'refs' => [ 'CreateDeviceFleetRequest$OutputConfig' => 'The output configuration for storing sample data collected by the fleet.
', 'CreateEdgePackagingJobRequest$OutputConfig' => 'Provides information about the output location for the packaged model.
', 'DescribeDeviceFleetResponse$OutputConfig' => 'The output configuration for storing sampled data.
', 'DescribeEdgePackagingJobResponse$OutputConfig' => 'The output configuration for the edge packaging job.
', 'GetDeviceFleetReportResponse$OutputConfig' => 'The output configuration for storing sample data collected by the fleet.
', 'UpdateDeviceFleetRequest$OutputConfig' => 'Output configuration for storing sample data collected by the fleet.
', ], ], 'EdgePackagingJobArn' => [ 'base' => NULL, 'refs' => [ 'DescribeEdgePackagingJobResponse$EdgePackagingJobArn' => 'The Amazon Resource Name (ARN) of the edge packaging job.
', 'EdgePackagingJobSummary$EdgePackagingJobArn' => 'The Amazon Resource Name (ARN) of the edge packaging job.
', ], ], 'EdgePackagingJobStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeEdgePackagingJobResponse$EdgePackagingJobStatus' => 'The current status of the packaging job.
', 'EdgePackagingJobSummary$EdgePackagingJobStatus' => 'The status of the edge packaging job.
', 'ListEdgePackagingJobsRequest$StatusEquals' => 'The job status to filter for.
', ], ], 'EdgePackagingJobSummaries' => [ 'base' => NULL, 'refs' => [ 'ListEdgePackagingJobsResponse$EdgePackagingJobSummaries' => 'Summaries of edge packaging jobs.
', ], ], 'EdgePackagingJobSummary' => [ 'base' => 'Summary of edge packaging job.
', 'refs' => [ 'EdgePackagingJobSummaries$member' => NULL, ], ], 'EdgePresetDeploymentArtifact' => [ 'base' => NULL, 'refs' => [ 'EdgePresetDeploymentOutput$Artifact' => 'The Amazon Resource Name (ARN) of the generated deployable resource.
', ], ], 'EdgePresetDeploymentOutput' => [ 'base' => 'The output of a SageMaker Edge Manager deployable resource.
', 'refs' => [ 'DescribeEdgePackagingJobResponse$PresetDeploymentOutput' => 'The output of a SageMaker Edge Manager deployable resource.
', ], ], 'EdgePresetDeploymentStatus' => [ 'base' => NULL, 'refs' => [ 'EdgePresetDeploymentOutput$Status' => 'The status of the deployable resource.
', ], ], 'EdgePresetDeploymentType' => [ 'base' => NULL, 'refs' => [ 'EdgeOutputConfig$PresetDeploymentType' => 'The deployment type SageMaker Edge Manager will create. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.
', 'EdgePresetDeploymentOutput$Type' => 'The deployment type created by SageMaker Edge Manager. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.
', ], ], 'EdgeVersion' => [ 'base' => NULL, 'refs' => [ 'AgentVersion$Version' => 'Version of the agent.
', 'CreateEdgePackagingJobRequest$ModelVersion' => 'The version of the model.
', 'DescribeDeviceResponse$AgentVersion' => 'Edge Manager agent version.
', 'DescribeEdgePackagingJobResponse$ModelVersion' => 'The version of the model.
', 'DeviceSummary$AgentVersion' => 'Edge Manager agent version.
', 'EdgeModel$ModelVersion' => 'The model version.
', 'EdgeModelStat$ModelVersion' => 'The model version.
', 'EdgeModelSummary$ModelVersion' => 'The version model.
', 'EdgePackagingJobSummary$ModelVersion' => 'The version of the model.
', ], ], 'Edges' => [ 'base' => NULL, 'refs' => [ 'QueryLineageResponse$Edges' => 'A list of edges that connect vertices in the response.
', ], ], 'EfsUid' => [ 'base' => NULL, 'refs' => [ 'DescribeSpaceResponse$HomeEfsFileSystemUid' => 'The ID of the space\'s profile in the Amazon EFS volume.
', 'DescribeUserProfileResponse$HomeEfsFileSystemUid' => 'The ID of the user\'s profile in the Amazon Elastic File System volume.
', ], ], 'EksClusterArn' => [ 'base' => NULL, 'refs' => [ 'ClusterOrchestratorEksConfig$ClusterArn' => 'The Amazon Resource Name (ARN) of the Amazon EKS cluster associated with the SageMaker HyperPod cluster.
', ], ], 'EmrServerlessComputeConfig' => [ 'base' => 'This data type is intended for use exclusively by SageMaker Canvas and cannot be used in other contexts at the moment.
Specifies the compute configuration for the EMR Serverless job.
', 'refs' => [ 'AutoMLComputeConfig$EmrServerlessComputeConfig' => 'The configuration for using EMR Serverless to run the AutoML job V2.
To allow your AutoML job V2 to automatically initiate a remote job on EMR Serverless when additional compute resources are needed to process large datasets, you need to provide an EmrServerlessComputeConfig object, which includes an ExecutionRoleARN attribute, to the AutoMLComputeConfig of the AutoML job V2 input request.
By seamlessly transitioning to EMR Serverless when required, the AutoML job can handle datasets that would otherwise exceed the initially provisioned resources, without any manual intervention from you.
EMR Serverless is available for the tabular and time series problem types. We recommend setting up this option for tabular datasets larger than 5 GB and time series datasets larger than 30 GB.
', ], ], 'EmrServerlessSettings' => [ 'base' => 'The settings for running Amazon EMR Serverless jobs in SageMaker Canvas.
', 'refs' => [ 'CanvasAppSettings$EmrServerlessSettings' => 'The settings for running Amazon EMR Serverless data processing jobs in SageMaker Canvas.
', ], ], 'EmrSettings' => [ 'base' => 'The configuration parameters that specify the IAM roles assumed by the execution role of SageMaker (assumable roles) and the cluster instances or job execution environments (execution roles or runtime roles) to manage and access resources required for running Amazon EMR clusters or Amazon EMR Serverless applications.
', 'refs' => [ 'JupyterLabAppSettings$EmrSettings' => 'The configuration parameters that specify the IAM roles assumed by the execution role of SageMaker (assumable roles) and the cluster instances or job execution environments (execution roles or runtime roles) to manage and access resources required for running Amazon EMR clusters or Amazon EMR Serverless applications.
', ], ], 'EnableCapture' => [ 'base' => NULL, 'refs' => [ 'DataCaptureConfig$EnableCapture' => 'Whether data capture should be enabled or disabled (defaults to enabled).
', 'DataCaptureConfigSummary$EnableCapture' => 'Whether data capture is enabled or disabled.
', ], ], 'EnableInfraCheck' => [ 'base' => NULL, 'refs' => [ 'InfraCheckConfig$EnableInfraCheck' => 'Enables an infrastructure health check.
', ], ], 'EnableIotRoleAlias' => [ 'base' => NULL, 'refs' => [ 'CreateDeviceFleetRequest$EnableIotRoleAlias' => 'Whether to create an Amazon Web Services IoT Role Alias during device fleet creation. The name of the role alias generated will match this pattern: "SageMakerEdge-{DeviceFleetName}".
For example, if your device fleet is called "demo-fleet", the name of the role alias will be "SageMakerEdge-demo-fleet".
', 'UpdateDeviceFleetRequest$EnableIotRoleAlias' => 'Whether to create an Amazon Web Services IoT Role Alias during device fleet creation. The name of the role alias generated will match this pattern: "SageMakerEdge-{DeviceFleetName}".
For example, if your device fleet is called "demo-fleet", the name of the role alias will be "SageMakerEdge-demo-fleet".
', ], ], 'EnableRemoteDebug' => [ 'base' => NULL, 'refs' => [ 'RemoteDebugConfig$EnableRemoteDebug' => 'If set to True, enables remote debugging.
', 'RemoteDebugConfigForUpdate$EnableRemoteDebug' => 'If set to True, enables remote debugging.
', ], ], 'EnableSagemakerServicecatalogPortfolioInput' => [ 'base' => NULL, 'refs' => [], ], 'EnableSagemakerServicecatalogPortfolioOutput' => [ 'base' => NULL, 'refs' => [], ], 'EnableSessionTagChaining' => [ 'base' => NULL, 'refs' => [ 'SessionChainingConfig$EnableSessionTagChaining' => 'Set to True to allow SageMaker to extract session tags from a training job creation role and reuse these tags when assuming the training job execution role.
When SourceIp is Enabled the worker\'s IP address when a task is rendered in the worker portal is added to the IAM policy as a Condition used to generate the Amazon S3 presigned URL. This IP address is checked by Amazon S3 and must match in order for the Amazon S3 resource to be rendered in the worker portal.
When VpcSourceIp is Enabled the worker\'s IP address when a task is rendered in private worker portal inside the VPC is added to the IAM policy as a Condition used to generate the Amazon S3 presigned URL. To render the task successfully Amazon S3 checks that the presigned URL is being accessed over an Amazon S3 VPC Endpoint, and that the worker\'s IP address matches the IP address in the IAM policy. To learn more about configuring private worker portal, see Use Amazon VPC mode from a private worker portal.
A hosted endpoint for real-time inference.
', 'refs' => [ 'SearchRecord$Endpoint' => NULL, ], ], 'EndpointArn' => [ 'base' => NULL, 'refs' => [ 'CreateEndpointOutput$EndpointArn' => 'The Amazon Resource Name (ARN) of the endpoint.
', 'DescribeEndpointOutput$EndpointArn' => 'The Amazon Resource Name (ARN) of the endpoint.
', 'DescribeInferenceComponentOutput$EndpointArn' => 'The Amazon Resource Name (ARN) of the endpoint that hosts the inference component.
', 'Endpoint$EndpointArn' => 'The Amazon Resource Name (ARN) of the endpoint.
', 'EndpointStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the endpoint in the step.
', 'EndpointSummary$EndpointArn' => 'The Amazon Resource Name (ARN) of the endpoint.
', 'InferenceComponentSummary$EndpointArn' => 'The Amazon Resource Name (ARN) of the endpoint that hosts the inference component.
', 'ModelDashboardEndpoint$EndpointArn' => 'The Amazon Resource Name (ARN) of the endpoint.
', 'UpdateEndpointOutput$EndpointArn' => 'The Amazon Resource Name (ARN) of the endpoint.
', 'UpdateEndpointWeightsAndCapacitiesOutput$EndpointArn' => 'The Amazon Resource Name (ARN) of the updated endpoint.
', ], ], 'EndpointConfigArn' => [ 'base' => NULL, 'refs' => [ 'CreateEndpointConfigOutput$EndpointConfigArn' => 'The Amazon Resource Name (ARN) of the endpoint configuration.
', 'DescribeEndpointConfigOutput$EndpointConfigArn' => 'The Amazon Resource Name (ARN) of the endpoint configuration.
', 'EndpointConfigStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the endpoint configuration used in the step.
', 'EndpointConfigSummary$EndpointConfigArn' => 'The Amazon Resource Name (ARN) of the endpoint configuration.
', ], ], 'EndpointConfigName' => [ 'base' => NULL, 'refs' => [ 'CreateEndpointConfigInput$EndpointConfigName' => 'The name of the endpoint configuration. You specify this name in a CreateEndpoint request.
', 'CreateEndpointInput$EndpointConfigName' => 'The name of an endpoint configuration. For more information, see CreateEndpointConfig.
', 'DeleteEndpointConfigInput$EndpointConfigName' => 'The name of the endpoint configuration that you want to delete.
', 'DescribeEndpointConfigInput$EndpointConfigName' => 'The name of the endpoint configuration.
', 'DescribeEndpointConfigOutput$EndpointConfigName' => 'Name of the SageMaker endpoint configuration.
', 'DescribeEndpointOutput$EndpointConfigName' => 'The name of the endpoint configuration associated with this endpoint.
', 'Endpoint$EndpointConfigName' => 'The endpoint configuration associated with the endpoint.
', 'EndpointConfigSummary$EndpointConfigName' => 'The name of the endpoint configuration.
', 'EndpointMetadata$EndpointConfigName' => 'The name of the endpoint configuration.
', 'PendingDeploymentSummary$EndpointConfigName' => 'The name of the endpoint configuration used in the deployment.
', 'UpdateEndpointInput$EndpointConfigName' => 'The name of the new endpoint configuration.
', ], ], 'EndpointConfigNameContains' => [ 'base' => NULL, 'refs' => [ 'ListEndpointConfigsInput$NameContains' => 'A string in the endpoint configuration name. This filter returns only endpoint configurations whose name contains the specified string.
', ], ], 'EndpointConfigSortKey' => [ 'base' => NULL, 'refs' => [ 'ListEndpointConfigsInput$SortBy' => 'The field to sort results by. The default is CreationTime.
Metadata for an endpoint configuration step.
', 'refs' => [ 'PipelineExecutionStepMetadata$EndpointConfig' => 'The endpoint configuration used to create an endpoint during this step execution.
', ], ], 'EndpointConfigSummary' => [ 'base' => 'Provides summary information for an endpoint configuration.
', 'refs' => [ 'EndpointConfigSummaryList$member' => NULL, ], ], 'EndpointConfigSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListEndpointConfigsOutput$EndpointConfigs' => 'An array of endpoint configurations.
', ], ], 'EndpointInfo' => [ 'base' => 'Details about a customer endpoint that was compared in an Inference Recommender job.
', 'refs' => [ 'EndpointPerformance$EndpointInfo' => NULL, 'Endpoints$member' => NULL, ], ], 'EndpointInput' => [ 'base' => 'Input object for the endpoint
', 'refs' => [ 'DataQualityJobInput$EndpointInput' => NULL, 'ModelBiasJobInput$EndpointInput' => NULL, 'ModelExplainabilityJobInput$EndpointInput' => NULL, 'ModelQualityJobInput$EndpointInput' => NULL, 'MonitoringInput$EndpointInput' => 'The endpoint for a monitoring job.
', ], ], 'EndpointInputConfiguration' => [ 'base' => 'The endpoint configuration for the load test.
', 'refs' => [ 'EndpointInputConfigurations$member' => NULL, ], ], 'EndpointInputConfigurations' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobInputConfig$EndpointConfigurations' => 'Specifies the endpoint configuration to use for a job.
', ], ], 'EndpointMetadata' => [ 'base' => 'The metadata of the endpoint.
', 'refs' => [ 'DescribeInferenceExperimentResponse$EndpointMetadata' => 'The metadata of the endpoint on which the inference experiment ran.
', ], ], 'EndpointName' => [ 'base' => NULL, 'refs' => [ 'CreateEndpointInput$EndpointName' => 'The name of the endpoint.The name must be unique within an Amazon Web Services Region in your Amazon Web Services account. The name is case-insensitive in CreateEndpoint, but the case is preserved and must be matched in InvokeEndpoint.
The name of an existing endpoint where you host the inference component.
', 'CreateInferenceExperimentRequest$EndpointName' => 'The name of the Amazon SageMaker endpoint on which you want to run the inference experiment.
', 'DeleteEndpointInput$EndpointName' => 'The name of the endpoint that you want to delete.
', 'DescribeEndpointInput$EndpointName' => 'The name of the endpoint.
', 'DescribeEndpointOutput$EndpointName' => 'Name of the endpoint.
', 'DescribeInferenceComponentOutput$EndpointName' => 'The name of the endpoint that hosts the inference component.
', 'DescribeMonitoringScheduleResponse$EndpointName' => 'The name of the endpoint for the monitoring job.
', 'Endpoint$EndpointName' => 'The name of the endpoint.
', 'EndpointInfo$EndpointName' => 'The name of a customer\'s endpoint.
', 'EndpointInput$EndpointName' => 'An endpoint in customer\'s account which has enabled DataCaptureConfig enabled.
The name of the endpoint.
', 'EndpointSummary$EndpointName' => 'The name of the endpoint.
', 'GetScalingConfigurationRecommendationRequest$EndpointName' => 'The name of an endpoint benchmarked during a previously completed inference recommendation job. This name should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.
Specify either this field or the RecommendationId field.
The name of an endpoint benchmarked during a previously completed Inference Recommender job.
', 'InferenceComponentSummary$EndpointName' => 'The name of the endpoint that hosts the inference component.
', 'ListDataQualityJobDefinitionsRequest$EndpointName' => 'A filter that lists the data quality job definitions associated with the specified endpoint.
', 'ListInferenceComponentsInput$EndpointNameEquals' => 'An endpoint name to filter the listed inference components. The response includes only those inference components that are hosted at the specified endpoint.
', 'ListModelBiasJobDefinitionsRequest$EndpointName' => 'Name of the endpoint to monitor for model bias.
', 'ListModelExplainabilityJobDefinitionsRequest$EndpointName' => 'Name of the endpoint to monitor for model explainability.
', 'ListModelQualityJobDefinitionsRequest$EndpointName' => 'A filter that returns only model quality monitoring job definitions that are associated with the specified endpoint.
', 'ListMonitoringExecutionsRequest$EndpointName' => 'Name of a specific endpoint to fetch jobs for.
', 'ListMonitoringSchedulesRequest$EndpointName' => 'Name of a specific endpoint to fetch schedules for.
', 'ModelDashboardEndpoint$EndpointName' => 'The endpoint name.
', 'ModelDashboardMonitoringSchedule$EndpointName' => 'The endpoint which is monitored.
', 'ModelDeployConfig$EndpointName' => 'Specifies the endpoint name to use for a one-click Autopilot model deployment if the endpoint name is not generated automatically.
Specify the EndpointName if and only if you set AutoGenerateEndpointName to False; otherwise a 400 error is thrown.
The name of the endpoint to which the model has been deployed.
If model deployment fails, this field is omitted from the response.
The name of the endpoint used to run the monitoring job.
', 'MonitoringJobDefinitionSummary$EndpointName' => 'The name of the endpoint that the job monitors.
', 'MonitoringSchedule$EndpointName' => 'The endpoint that hosts the model being monitored.
', 'MonitoringScheduleSummary$EndpointName' => 'The name of the endpoint using the monitoring schedule.
', 'UpdateEndpointInput$EndpointName' => 'The name of the endpoint whose configuration you want to update.
', 'UpdateEndpointWeightsAndCapacitiesInput$EndpointName' => 'The name of an existing SageMaker endpoint.
', ], ], 'EndpointNameContains' => [ 'base' => NULL, 'refs' => [ 'ListEndpointsInput$NameContains' => 'A string in endpoint names. This filter returns only endpoints whose name contains the specified string.
', ], ], 'EndpointOutputConfiguration' => [ 'base' => 'The endpoint configuration made by Inference Recommender during a recommendation job.
', 'refs' => [ 'InferenceRecommendation$EndpointConfiguration' => 'Defines the endpoint configuration parameters.
', 'RecommendationJobInferenceBenchmark$EndpointConfiguration' => NULL, ], ], 'EndpointPerformance' => [ 'base' => 'The performance results from running an Inference Recommender job on an existing endpoint.
', 'refs' => [ 'EndpointPerformances$member' => NULL, ], ], 'EndpointPerformances' => [ 'base' => NULL, 'refs' => [ 'DescribeInferenceRecommendationsJobResponse$EndpointPerformances' => 'The performance results from running an Inference Recommender job on an existing endpoint.
', ], ], 'EndpointSortKey' => [ 'base' => NULL, 'refs' => [ 'ListEndpointsInput$SortBy' => 'Sorts the list of results. The default is CreationTime.
The status of the endpoint.
OutOfService: Endpoint is not available to take incoming requests.
Creating: CreateEndpoint is executing.
Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
SystemUpdating: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count.
RollingBack: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly.
InService: Endpoint is available to process incoming requests.
Deleting: DeleteEndpoint is executing.
Failed: Endpoint could not be created, updated, or re-scaled. Use the FailureReason value returned by DescribeEndpoint for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.
UpdateRollbackFailed: Both the rolling deployment and auto-rollback failed. Your endpoint is in service with a mix of the old and new endpoint configurations. For information about how to remedy this issue and restore the endpoint\'s status to InService, see Rolling Deployments.
The status of the endpoint.
', 'EndpointMetadata$EndpointStatus' => 'The status of the endpoint. For possible values of the status of an endpoint, see EndpointSummary.
', 'EndpointSummary$EndpointStatus' => 'The status of the endpoint.
OutOfService: Endpoint is not available to take incoming requests.
Creating: CreateEndpoint is executing.
Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
SystemUpdating: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count.
RollingBack: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly.
InService: Endpoint is available to process incoming requests.
Deleting: DeleteEndpoint is executing.
Failed: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.
To get a list of endpoints with a specified status, use the StatusEquals filter with a call to ListEndpoints.
A filter that returns only endpoints with the specified status.
', 'ModelDashboardEndpoint$EndpointStatus' => 'The endpoint status.
', ], ], 'EndpointStepMetadata' => [ 'base' => 'Metadata for an endpoint step.
', 'refs' => [ 'PipelineExecutionStepMetadata$Endpoint' => 'The endpoint that was invoked during this step execution.
', ], ], 'EndpointSummary' => [ 'base' => 'Provides summary information for an endpoint.
', 'refs' => [ 'EndpointSummaryList$member' => NULL, ], ], 'EndpointSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListEndpointsOutput$Endpoints' => 'An array or endpoint objects.
', ], ], 'Endpoints' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobInputConfig$Endpoints' => 'Existing customer endpoints on which to run an Inference Recommender job.
', ], ], 'EntityDescription' => [ 'base' => NULL, 'refs' => [ 'AdditionalInferenceSpecificationDefinition$Description' => 'A description of the additional Inference specification
', 'AlgorithmSummary$AlgorithmDescription' => 'A brief description of the algorithm.
', 'BatchDescribeModelPackageSummary$ModelPackageDescription' => 'The description of the model package.
', 'ChannelSpecification$Description' => 'A brief description of the channel.
', 'CreateAlgorithmInput$AlgorithmDescription' => 'A description of the algorithm.
', 'CreateClusterSchedulerConfigRequest$Description' => 'Description of the cluster policy.
', 'CreateComputeQuotaRequest$Description' => 'Description of the compute allocation definition.
', 'CreateModelPackageGroupInput$ModelPackageGroupDescription' => 'A description for the model group.
', 'CreateModelPackageInput$ModelPackageDescription' => 'A description of the model package.
', 'CreateProjectInput$ProjectDescription' => 'A description for the project.
', 'DescribeAlgorithmOutput$AlgorithmDescription' => 'A brief summary about the algorithm.
', 'DescribeClusterSchedulerConfigResponse$Description' => 'Description of the cluster policy.
', 'DescribeComputeQuotaResponse$Description' => 'Description of the compute allocation definition.
', 'DescribeModelPackageGroupOutput$ModelPackageGroupDescription' => 'A description of the model group.
', 'DescribeModelPackageOutput$ModelPackageDescription' => 'A brief summary of the model package.
', 'DescribeProjectOutput$ProjectDescription' => 'The description of the project.
', 'HyperParameterSpecification$Description' => 'A brief description of the hyperparameter.
', 'ModelPackage$ModelPackageDescription' => 'The description of the model package.
', 'ModelPackageGroup$ModelPackageGroupDescription' => 'The description for the model group.
', 'ModelPackageGroupSummary$ModelPackageGroupDescription' => 'A description of the model group.
', 'ModelPackageSummary$ModelPackageDescription' => 'A brief description of the model package.
', 'Project$ProjectDescription' => 'The description of the project.
', 'ProjectSummary$ProjectDescription' => 'The description of the project.
', 'UpdateClusterSchedulerConfigRequest$Description' => 'Description of the cluster policy.
', 'UpdateComputeQuotaRequest$Description' => 'Description of the compute allocation definition.
', 'UpdateProjectInput$ProjectDescription' => 'The description for the project.
', ], ], 'EntityName' => [ 'base' => NULL, 'refs' => [ 'AdditionalInferenceSpecificationDefinition$Name' => 'A unique name to identify the additional inference specification. The name must be unique within the list of your additional inference specifications for a particular model package.
', 'AlgorithmStatusItem$Name' => 'The name of the algorithm for which the overall status is being reported.
', 'AlgorithmSummary$AlgorithmName' => 'The name of the algorithm that is described by the summary.
', 'AlgorithmValidationProfile$ProfileName' => 'The name of the profile for the algorithm. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
', 'BatchDescribeModelPackageSummary$ModelPackageGroupName' => 'The group name for the model package
', 'ClusterSchedulerConfigSummary$Name' => 'Name of the cluster policy.
', 'CodeRepositorySummary$CodeRepositoryName' => 'The name of the Git repository.
', 'CompilationJobSummary$CompilationJobName' => 'The name of the model compilation job that you want a summary for.
', 'ComputeQuotaSummary$Name' => 'Name of the compute allocation definition.
', 'CreateAlgorithmInput$AlgorithmName' => 'The name of the algorithm.
', 'CreateClusterSchedulerConfigRequest$Name' => 'Name for the cluster policy.
', 'CreateCodeRepositoryInput$CodeRepositoryName' => 'The name of the Git repository. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
', 'CreateCompilationJobRequest$CompilationJobName' => 'A name for the model compilation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account.
', 'CreateComputeQuotaRequest$Name' => 'Name to the compute allocation definition.
', 'CreateDeviceFleetRequest$DeviceFleetName' => 'The name of the fleet that the device belongs to.
', 'CreateEdgeDeploymentPlanRequest$EdgeDeploymentPlanName' => 'The name of the edge deployment plan.
', 'CreateEdgeDeploymentPlanRequest$DeviceFleetName' => 'The device fleet used for this edge deployment plan.
', 'CreateEdgeDeploymentStageRequest$EdgeDeploymentPlanName' => 'The name of the edge deployment plan.
', 'CreateEdgePackagingJobRequest$EdgePackagingJobName' => 'The name of the edge packaging job.
', 'CreateEdgePackagingJobRequest$CompilationJobName' => 'The name of the SageMaker Neo compilation job that will be used to locate model artifacts for packaging.
', 'CreateEdgePackagingJobRequest$ModelName' => 'The name of the model.
', 'CreateModelCardExportJobRequest$ModelCardExportJobName' => 'The name of the model card export job.
', 'CreateModelCardRequest$ModelCardName' => 'The unique name of the model card.
', 'CreateModelPackageGroupInput$ModelPackageGroupName' => 'The name of the model group.
', 'CreateModelPackageInput$ModelPackageName' => 'The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
This parameter is required for unversioned models. It is not applicable to versioned models.
', 'CreateOptimizationJobRequest$OptimizationJobName' => 'A custom name for the new optimization job.
', 'DeleteAlgorithmInput$AlgorithmName' => 'The name of the algorithm to delete.
', 'DeleteCodeRepositoryInput$CodeRepositoryName' => 'The name of the Git repository to delete.
', 'DeleteCompilationJobRequest$CompilationJobName' => 'The name of the compilation job to delete.
', 'DeleteDeviceFleetRequest$DeviceFleetName' => 'The name of the fleet to delete.
', 'DeleteEdgeDeploymentPlanRequest$EdgeDeploymentPlanName' => 'The name of the edge deployment plan to delete.
', 'DeleteEdgeDeploymentStageRequest$EdgeDeploymentPlanName' => 'The name of the edge deployment plan from which the stage will be deleted.
', 'DeleteEdgeDeploymentStageRequest$StageName' => 'The name of the stage.
', 'DeleteModelCardRequest$ModelCardName' => 'The name of the model card to delete.
', 'DeleteModelPackageGroupPolicyInput$ModelPackageGroupName' => 'The name of the model group for which to delete the policy.
', 'DeleteOptimizationJobRequest$OptimizationJobName' => 'The name that you assigned to the optimization job.
', 'DeploymentStage$StageName' => 'The name of the stage.
', 'DeploymentStageStatusSummary$StageName' => 'The name of the stage.
', 'DeregisterDevicesRequest$DeviceFleetName' => 'The name of the fleet the devices belong to.
', 'DescribeAlgorithmOutput$AlgorithmName' => 'The name of the algorithm being described.
', 'DescribeClusterSchedulerConfigResponse$Name' => 'Name of the cluster policy.
', 'DescribeCodeRepositoryInput$CodeRepositoryName' => 'The name of the Git repository to describe.
', 'DescribeCodeRepositoryOutput$CodeRepositoryName' => 'The name of the Git repository.
', 'DescribeCompilationJobRequest$CompilationJobName' => 'The name of the model compilation job that you want information about.
', 'DescribeCompilationJobResponse$CompilationJobName' => 'The name of the model compilation job.
', 'DescribeComputeQuotaResponse$Name' => 'Name of the compute allocation definition.
', 'DescribeDeviceFleetRequest$DeviceFleetName' => 'The name of the fleet.
', 'DescribeDeviceFleetResponse$DeviceFleetName' => 'The name of the fleet.
', 'DescribeDeviceRequest$DeviceName' => 'The unique ID of the device.
', 'DescribeDeviceRequest$DeviceFleetName' => 'The name of the fleet the devices belong to.
', 'DescribeDeviceResponse$DeviceName' => 'The unique identifier of the device.
', 'DescribeDeviceResponse$DeviceFleetName' => 'The name of the fleet the device belongs to.
', 'DescribeEdgeDeploymentPlanRequest$EdgeDeploymentPlanName' => 'The name of the deployment plan to describe.
', 'DescribeEdgeDeploymentPlanResponse$EdgeDeploymentPlanName' => 'The name of the edge deployment plan.
', 'DescribeEdgeDeploymentPlanResponse$DeviceFleetName' => 'The device fleet used for this edge deployment plan.
', 'DescribeEdgePackagingJobRequest$EdgePackagingJobName' => 'The name of the edge packaging job.
', 'DescribeEdgePackagingJobResponse$EdgePackagingJobName' => 'The name of the edge packaging job.
', 'DescribeEdgePackagingJobResponse$CompilationJobName' => 'The name of the SageMaker Neo compilation job that is used to locate model artifacts that are being packaged.
', 'DescribeEdgePackagingJobResponse$ModelName' => 'The name of the model.
', 'DescribeModelCardExportJobResponse$ModelCardExportJobName' => 'The name of the model card export job to describe.
', 'DescribeModelCardExportJobResponse$ModelCardName' => 'The name or Amazon Resource Name (ARN) of the model card that the model export job exports.
', 'DescribeModelCardResponse$ModelCardName' => 'The name of the model card.
', 'DescribeModelPackageGroupOutput$ModelPackageGroupName' => 'The name of the model group.
', 'DescribeModelPackageOutput$ModelPackageName' => 'The name of the model package being described.
', 'DescribeModelPackageOutput$ModelPackageGroupName' => 'If the model is a versioned model, the name of the model group that the versioned model belongs to.
', 'DescribeOptimizationJobRequest$OptimizationJobName' => 'The name that you assigned to the optimization job.
', 'DescribeOptimizationJobResponse$OptimizationJobName' => 'The name that you assigned to the optimization job.
', 'DeviceDeploymentSummary$EdgeDeploymentPlanName' => 'The name of the edge deployment plan.
', 'DeviceDeploymentSummary$StageName' => 'The name of the stage in the edge deployment plan.
', 'DeviceDeploymentSummary$DeployedStageName' => 'The name of the deployed stage.
', 'DeviceDeploymentSummary$DeviceFleetName' => 'The name of the fleet to which the device belongs to.
', 'DeviceFleetSummary$DeviceFleetName' => 'Name of the device fleet.
', 'DeviceSummary$DeviceName' => 'The unique identifier of the device.
', 'DeviceSummary$DeviceFleetName' => 'The name of the fleet the device belongs to.
', 'EdgeDeploymentModelConfig$ModelHandle' => 'The name the device application uses to reference this model.
', 'EdgeDeploymentModelConfig$EdgePackagingJobName' => 'The edge packaging job associated with this deployment.
', 'EdgeDeploymentPlanSummary$EdgeDeploymentPlanName' => 'The name of the edge deployment plan.
', 'EdgeDeploymentPlanSummary$DeviceFleetName' => 'The name of the device fleet used for the deployment.
', 'EdgeModel$ModelName' => 'The name of the model.
', 'EdgeModelStat$ModelName' => 'The name of the model.
', 'EdgeModelSummary$ModelName' => 'The name of the model.
', 'EdgePackagingJobSummary$EdgePackagingJobName' => 'The name of the edge packaging job.
', 'EdgePackagingJobSummary$CompilationJobName' => 'The name of the SageMaker Neo compilation job.
', 'EdgePackagingJobSummary$ModelName' => 'The name of the model.
', 'GetDeviceFleetReportRequest$DeviceFleetName' => 'The name of the fleet.
', 'GetDeviceFleetReportResponse$DeviceFleetName' => 'The name of the fleet.
', 'GetModelPackageGroupPolicyInput$ModelPackageGroupName' => 'The name of the model group for which to get the resource policy.
', 'ListClusterSchedulerConfigsRequest$NameContains' => 'Filter for name containing this string.
', 'ListComputeQuotasRequest$NameContains' => 'Filter for name containing this string.
', 'ListDevicesRequest$ModelName' => 'A filter that searches devices that contains this name in any of their models.
', 'ListDevicesRequest$DeviceFleetName' => 'Filter for fleets containing this name in their device fleet name.
', 'ListModelCardExportJobsRequest$ModelCardName' => 'List export jobs for the model card with the specified name.
', 'ListModelCardExportJobsRequest$ModelCardExportJobNameContains' => 'Only list model card export jobs with names that contain the specified string.
', 'ListModelCardsRequest$NameContains' => 'Only list model cards with names that contain the specified string.
', 'ListStageDevicesRequest$EdgeDeploymentPlanName' => 'The name of the edge deployment plan.
', 'ListStageDevicesRequest$StageName' => 'The name of the stage in the deployment.
', 'ModelCard$ModelCardName' => 'The unique name of the model card.
', 'ModelCardExportJobSummary$ModelCardExportJobName' => 'The name of the model card export job.
', 'ModelCardExportJobSummary$ModelCardName' => 'The name of the model card that the export job exports.
', 'ModelCardSummary$ModelCardName' => 'The name of the model card.
', 'ModelCardVersionSummary$ModelCardName' => 'The name of the model card.
', 'ModelDashboardModelCard$ModelCardName' => 'The name of a model card.
', 'ModelLifeCycle$Stage' => 'The current stage in the model life cycle.
', 'ModelLifeCycle$StageStatus' => 'The current status of a stage in model life cycle.
', 'ModelPackage$ModelPackageName' => 'The name of the model.
', 'ModelPackage$ModelPackageGroupName' => 'The model group to which the model belongs.
', 'ModelPackageGroup$ModelPackageGroupName' => 'The name of the model group.
', 'ModelPackageGroupSummary$ModelPackageGroupName' => 'The name of the model group.
', 'ModelPackageStatusItem$Name' => 'The name of the model package for which the overall status is being reported.
', 'ModelPackageSummary$ModelPackageName' => 'The name of the model package.
', 'ModelPackageSummary$ModelPackageGroupName' => 'If the model package is a versioned model, the model group that the versioned model belongs to.
', 'ModelPackageValidationProfile$ProfileName' => 'The name of the profile for the model package.
', 'OptimizationJobSummary$OptimizationJobName' => 'The name that you assigned to the optimization job.
', 'PutModelPackageGroupPolicyInput$ModelPackageGroupName' => 'The name of the model group to add a resource policy to.
', 'RegisterDevicesRequest$DeviceFleetName' => 'The name of the fleet.
', 'StartEdgeDeploymentStageRequest$EdgeDeploymentPlanName' => 'The name of the edge deployment plan to start.
', 'StartEdgeDeploymentStageRequest$StageName' => 'The name of the stage to start.
', 'StopCompilationJobRequest$CompilationJobName' => 'The name of the model compilation job to stop.
', 'StopEdgeDeploymentStageRequest$EdgeDeploymentPlanName' => 'The name of the edge deployment plan to stop.
', 'StopEdgeDeploymentStageRequest$StageName' => 'The name of the stage to stop.
', 'StopEdgePackagingJobRequest$EdgePackagingJobName' => 'The name of the edge packaging job.
', 'StopOptimizationJobRequest$OptimizationJobName' => 'The name that you assigned to the optimization job.
', 'UpdateCodeRepositoryInput$CodeRepositoryName' => 'The name of the Git repository to update.
', 'UpdateDeviceFleetRequest$DeviceFleetName' => 'The name of the fleet.
', 'UpdateDevicesRequest$DeviceFleetName' => 'The name of the fleet the devices belong to.
', ], ], 'EnvironmentKey' => [ 'base' => NULL, 'refs' => [ 'EnvironmentMap$key' => NULL, ], ], 'EnvironmentMap' => [ 'base' => NULL, 'refs' => [ 'AutoMLContainerDefinition$Environment' => 'The environment variables to set in the container. For more information, see ContainerDefinition.
', 'ContainerDefinition$Environment' => 'The environment variables to set in the Docker container. Don\'t include any sensitive data in your environment variables.
The maximum length of each key and value in the Environment map is 1024 bytes. The maximum length of all keys and values in the map, combined, is 32 KB. If you pass multiple containers to a CreateModel request, then the maximum length of all of their maps, combined, is also 32 KB.
The environment variables to set in the Docker container. Each key and value in the Environment string-to-string map can have length of up to 1024. We support up to 16 entries in the map.
', 'InferenceComponentContainerSpecificationSummary$Environment' => 'The environment variables to set in the Docker container.
', 'ModelPackageContainerDefinition$Environment' => 'The environment variables to set in the Docker container. Each key and value in the Environment string to string map can have length of up to 1024. We support up to 16 entries in the map.
The recommended environment variables to set in the model container for Real-Time Inference.
', ], ], 'EnvironmentParameter' => [ 'base' => 'A list of environment parameters suggested by the Amazon SageMaker Inference Recommender.
', 'refs' => [ 'EnvironmentParameters$member' => NULL, ], ], 'EnvironmentParameterRanges' => [ 'base' => 'Specifies the range of environment parameters
', 'refs' => [ 'EndpointInputConfiguration$EnvironmentParameterRanges' => 'The parameter you want to benchmark against.
', ], ], 'EnvironmentParameters' => [ 'base' => NULL, 'refs' => [ 'ModelConfiguration$EnvironmentParameters' => 'Defines the environment parameters that includes key, value types, and values.
', ], ], 'EnvironmentValue' => [ 'base' => NULL, 'refs' => [ 'EnvironmentMap$value' => NULL, ], ], 'ErrorInfo' => [ 'base' => 'This is an error field object that contains the error code and the reason for an operation failure.
', 'refs' => [ 'DescribePartnerAppResponse$Error' => 'This is an error field object that contains the error code and the reason for an operation failure.
', ], ], 'ExcludeFeaturesAttribute' => [ 'base' => NULL, 'refs' => [ 'BatchTransformInput$ExcludeFeaturesAttribute' => 'The attributes of the input data to exclude from the analysis.
', 'EndpointInput$ExcludeFeaturesAttribute' => 'The attributes of the input data to exclude from the analysis.
', ], ], 'ExecutionRoleArns' => [ 'base' => NULL, 'refs' => [ 'EmrSettings$ExecutionRoleArns' => 'An array of Amazon Resource Names (ARNs) of the IAM roles used by the Amazon EMR cluster instances or job execution environments to access other Amazon Web Services services and resources needed during the runtime of your Amazon EMR or Amazon EMR Serverless workloads, such as Amazon S3 for data access, Amazon CloudWatch for logging, or other Amazon Web Services services based on the particular workload requirements.
', ], ], 'ExecutionRoleIdentityConfig' => [ 'base' => NULL, 'refs' => [ 'DomainSettings$ExecutionRoleIdentityConfig' => 'The configuration for attaching a SageMaker AI user profile name to the execution role as a sts:SourceIdentity key.
', 'DomainSettingsForUpdate$ExecutionRoleIdentityConfig' => 'The configuration for attaching a SageMaker AI user profile name to the execution role as a sts:SourceIdentity key. This configuration can only be modified if there are no apps in the InService or Pending state.
A filter that retrieves only jobs with a specific status.
', 'MonitoringExecutionSummary$MonitoringExecutionStatus' => 'The status of the monitoring job.
', ], ], 'ExitMessage' => [ 'base' => NULL, 'refs' => [ 'DescribeProcessingJobResponse$ExitMessage' => 'An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
', 'ProcessingJob$ExitMessage' => 'A string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
', 'ProcessingJobSummary$ExitMessage' => 'An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
', ], ], 'Experiment' => [ 'base' => 'The properties of an experiment as returned by the Search API.
', 'refs' => [ 'SearchRecord$Experiment' => 'The properties of an experiment.
', ], ], 'ExperimentArn' => [ 'base' => NULL, 'refs' => [ 'CreateExperimentResponse$ExperimentArn' => 'The Amazon Resource Name (ARN) of the experiment.
', 'DeleteExperimentResponse$ExperimentArn' => 'The Amazon Resource Name (ARN) of the experiment that is being deleted.
', 'DescribeExperimentResponse$ExperimentArn' => 'The Amazon Resource Name (ARN) of the experiment.
', 'Experiment$ExperimentArn' => 'The Amazon Resource Name (ARN) of the experiment.
', 'ExperimentSummary$ExperimentArn' => 'The Amazon Resource Name (ARN) of the experiment.
', 'UpdateExperimentResponse$ExperimentArn' => 'The Amazon Resource Name (ARN) of the experiment.
', ], ], 'ExperimentConfig' => [ 'base' => 'Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:
', 'refs' => [ 'CreateProcessingJobRequest$ExperimentConfig' => NULL, 'CreateTrainingJobRequest$ExperimentConfig' => NULL, 'CreateTransformJobRequest$ExperimentConfig' => NULL, 'DescribeProcessingJobResponse$ExperimentConfig' => 'The configuration information used to create an experiment.
', 'DescribeTrainingJobResponse$ExperimentConfig' => NULL, 'DescribeTransformJobResponse$ExperimentConfig' => NULL, 'ProcessingJob$ExperimentConfig' => NULL, 'TrainingJob$ExperimentConfig' => NULL, 'TransformJob$ExperimentConfig' => NULL, ], ], 'ExperimentDescription' => [ 'base' => NULL, 'refs' => [ 'CreateActionRequest$Description' => 'The description of the action.
', 'CreateContextRequest$Description' => 'The description of the context.
', 'CreateExperimentRequest$Description' => 'The description of the experiment.
', 'DescribeActionResponse$Description' => 'The description of the action.
', 'DescribeContextResponse$Description' => 'The description of the context.
', 'DescribeExperimentResponse$Description' => 'The description of the experiment.
', 'DescribeLineageGroupResponse$Description' => 'The description of the lineage group.
', 'Experiment$Description' => 'The description of the experiment.
', 'UpdateActionRequest$Description' => 'The new description for the action.
', 'UpdateContextRequest$Description' => 'The new description for the context.
', 'UpdateExperimentRequest$Description' => 'The description of the experiment.
', ], ], 'ExperimentEntityName' => [ 'base' => NULL, 'refs' => [ 'ActionSummary$ActionName' => 'The name of the action.
', 'ArtifactSummary$ArtifactName' => 'The name of the artifact.
', 'AssociateTrialComponentRequest$TrialComponentName' => 'The name of the component to associated with the trial.
', 'AssociateTrialComponentRequest$TrialName' => 'The name of the trial to associate with.
', 'AssociationSummary$SourceName' => 'The name of the source.
', 'AssociationSummary$DestinationName' => 'The name of the destination.
', 'CreateActionRequest$ActionName' => 'The name of the action. Must be unique to your account in an Amazon Web Services Region.
', 'CreateArtifactRequest$ArtifactName' => 'The name of the artifact. Must be unique to your account in an Amazon Web Services Region.
', 'CreateExperimentRequest$ExperimentName' => 'The name of the experiment. The name must be unique in your Amazon Web Services account and is not case-sensitive.
', 'CreateExperimentRequest$DisplayName' => 'The name of the experiment as displayed. The name doesn\'t need to be unique. If you don\'t specify DisplayName, the value in ExperimentName is displayed.
The name of the component. The name must be unique in your Amazon Web Services account and is not case-sensitive.
', 'CreateTrialComponentRequest$DisplayName' => 'The name of the component as displayed. The name doesn\'t need to be unique. If DisplayName isn\'t specified, TrialComponentName is displayed.
The name of the trial. The name must be unique in your Amazon Web Services account and is not case-sensitive.
', 'CreateTrialRequest$DisplayName' => 'The name of the trial as displayed. The name doesn\'t need to be unique. If DisplayName isn\'t specified, TrialName is displayed.
The name of the experiment to associate the trial with.
', 'DeleteActionRequest$ActionName' => 'The name of the action to delete.
', 'DeleteExperimentRequest$ExperimentName' => 'The name of the experiment to delete.
', 'DeleteTrialComponentRequest$TrialComponentName' => 'The name of the component to delete.
', 'DeleteTrialRequest$TrialName' => 'The name of the trial to delete.
', 'DescribeExperimentRequest$ExperimentName' => 'The name of the experiment to describe.
', 'DescribeExperimentResponse$ExperimentName' => 'The name of the experiment.
', 'DescribeExperimentResponse$DisplayName' => 'The name of the experiment as displayed. If DisplayName isn\'t specified, ExperimentName is displayed.
The name of the lineage group.
', 'DescribeLineageGroupResponse$LineageGroupName' => 'The name of the lineage group.
', 'DescribeLineageGroupResponse$DisplayName' => 'The display name of the lineage group.
', 'DescribeTrialComponentResponse$TrialComponentName' => 'The name of the trial component.
', 'DescribeTrialComponentResponse$DisplayName' => 'The name of the component as displayed. If DisplayName isn\'t specified, TrialComponentName is displayed.
The name of the trial to describe.
', 'DescribeTrialResponse$TrialName' => 'The name of the trial.
', 'DescribeTrialResponse$DisplayName' => 'The name of the trial as displayed. If DisplayName isn\'t specified, TrialName is displayed.
The name of the experiment the trial is part of.
', 'DisassociateTrialComponentRequest$TrialComponentName' => 'The name of the component to disassociate from the trial.
', 'DisassociateTrialComponentRequest$TrialName' => 'The name of the trial to disassociate from.
', 'Experiment$ExperimentName' => 'The name of the experiment.
', 'Experiment$DisplayName' => 'The name of the experiment as displayed. If DisplayName isn\'t specified, ExperimentName is displayed.
The name of an existing experiment to associate with the trial component.
', 'ExperimentConfig$TrialName' => 'The name of an existing trial to associate the trial component with. If not specified, a new trial is created.
', 'ExperimentConfig$TrialComponentDisplayName' => 'The display name for the trial component. If this key isn\'t specified, the display name is the trial component name.
', 'ExperimentConfig$RunName' => 'The name of the experiment run to associate with the trial component.
', 'ExperimentSummary$ExperimentName' => 'The name of the experiment.
', 'ExperimentSummary$DisplayName' => 'The name of the experiment as displayed. If DisplayName isn\'t specified, ExperimentName is displayed.
The name or Amazon Resource Name (ARN) of the lineage group.
', 'LineageGroupSummary$DisplayName' => 'The display name of the lineage group summary.
', 'ListTrialComponentsRequest$ExperimentName' => 'A filter that returns only components that are part of the specified experiment. If you specify ExperimentName, you can\'t filter by SourceArn or TrialName.
A filter that returns only components that are part of the specified trial. If you specify TrialName, you can\'t filter by ExperimentName or SourceArn.
A filter that returns only trials that are part of the specified experiment.
', 'ListTrialsRequest$TrialComponentName' => 'A filter that returns only trials that are associated with the specified trial component.
', 'Parent$TrialName' => 'The name of the trial.
', 'Parent$ExperimentName' => 'The name of the experiment.
', 'PipelineExperimentConfig$ExperimentName' => 'The name of the experiment.
', 'PipelineExperimentConfig$TrialName' => 'The name of the trial.
', 'Trial$TrialName' => 'The name of the trial.
', 'Trial$DisplayName' => 'The name of the trial as displayed. If DisplayName isn\'t specified, TrialName is displayed.
The name of the experiment the trial is part of.
', 'TrialComponent$TrialComponentName' => 'The name of the trial component.
', 'TrialComponent$DisplayName' => 'The name of the component as displayed. If DisplayName isn\'t specified, TrialComponentName is displayed.
The name of the experiment run.
', 'TrialComponentSimpleSummary$TrialComponentName' => 'The name of the trial component.
', 'TrialComponentSummary$TrialComponentName' => 'The name of the trial component.
', 'TrialComponentSummary$DisplayName' => 'The name of the component as displayed. If DisplayName isn\'t specified, TrialComponentName is displayed.
The name of the trial.
', 'TrialSummary$DisplayName' => 'The name of the trial as displayed. If DisplayName isn\'t specified, TrialName is displayed.
The name of the action to update.
', 'UpdateArtifactRequest$ArtifactName' => 'The new name for the artifact.
', 'UpdateExperimentRequest$ExperimentName' => 'The name of the experiment to update.
', 'UpdateExperimentRequest$DisplayName' => 'The name of the experiment as displayed. The name doesn\'t need to be unique. If DisplayName isn\'t specified, ExperimentName is displayed.
The name of the component to update.
', 'UpdateTrialComponentRequest$DisplayName' => 'The name of the component as displayed. The name doesn\'t need to be unique. If DisplayName isn\'t specified, TrialComponentName is displayed.
The name of the trial to update.
', 'UpdateTrialRequest$DisplayName' => 'The name of the trial as displayed. The name doesn\'t need to be unique. If DisplayName isn\'t specified, TrialName is displayed.
The name of the action to describe.
', 'DescribeActionResponse$ActionName' => 'The name of the action.
', 'DescribeArtifactResponse$ArtifactName' => 'The name of the artifact.
', 'DescribeTrialComponentRequest$TrialComponentName' => 'The name of the trial component to describe.
', ], ], 'ExperimentSource' => [ 'base' => 'The source of the experiment.
', 'refs' => [ 'DescribeExperimentResponse$Source' => 'The Amazon Resource Name (ARN) of the source and, optionally, the type.
', 'Experiment$Source' => NULL, 'ExperimentSummary$ExperimentSource' => NULL, ], ], 'ExperimentSourceArn' => [ 'base' => NULL, 'refs' => [ 'ExperimentSource$SourceArn' => 'The Amazon Resource Name (ARN) of the source.
', ], ], 'ExperimentSummaries' => [ 'base' => NULL, 'refs' => [ 'ListExperimentsResponse$ExperimentSummaries' => 'A list of the summaries of your experiments.
', ], ], 'ExperimentSummary' => [ 'base' => 'A summary of the properties of an experiment. To get the complete set of properties, call the DescribeExperiment API and provide the ExperimentName.
The time that will pass before the presigned URL expires.
', 'CreatePresignedDomainUrlRequest$ExpiresInSeconds' => 'The number of seconds until the pre-signed URL expires. This value defaults to 300.
', 'CreatePresignedMlflowTrackingServerUrlRequest$ExpiresInSeconds' => 'The duration in seconds that your presigned URL is valid. The presigned URL can be used only once.
', ], ], 'Explainability' => [ 'base' => 'Contains explainability metrics for a model.
', 'refs' => [ 'ModelMetrics$Explainability' => 'Metrics that help explain a model.
', ], ], 'ExplainabilityLocation' => [ 'base' => NULL, 'refs' => [ 'CandidateArtifactLocations$Explainability' => 'The Amazon S3 prefix to the explainability artifacts generated for the AutoML candidate.
', ], ], 'ExplainerConfig' => [ 'base' => 'A parameter to activate explainers.
', 'refs' => [ 'CreateEndpointConfigInput$ExplainerConfig' => 'A member of CreateEndpointConfig that enables explainers.
The configuration parameters for an explainer.
', 'DescribeEndpointOutput$ExplainerConfig' => 'The configuration parameters for an explainer.
', ], ], 'FSxLustreFileSystem' => [ 'base' => 'A custom file system in Amazon FSx for Lustre.
', 'refs' => [ 'CustomFileSystem$FSxLustreFileSystem' => 'A custom file system in Amazon FSx for Lustre.
', ], ], 'FSxLustreFileSystemConfig' => [ 'base' => 'The settings for assigning a custom Amazon FSx for Lustre file system to a user profile or space for an Amazon SageMaker Domain.
', 'refs' => [ 'CustomFileSystemConfig$FSxLustreFileSystemConfig' => 'The settings for a custom Amazon FSx for Lustre file system.
', ], ], 'FailStepMetadata' => [ 'base' => 'The container for the metadata for Fail step.
', 'refs' => [ 'PipelineExecutionStepMetadata$Fail' => 'The configurations and outcomes of a Fail step execution.
', ], ], 'FailureHandlingPolicy' => [ 'base' => NULL, 'refs' => [ 'EdgeDeploymentConfig$FailureHandlingPolicy' => 'Toggle that determines whether to rollback to previous configuration if the current deployment fails. By default this is turned on. You may turn this off if you want to investigate the errors yourself.
', ], ], 'FailureReason' => [ 'base' => NULL, 'refs' => [ 'ConflictException$Message' => NULL, 'DescribeAppResponse$FailureReason' => 'The failure reason.
', 'DescribeClusterSchedulerConfigResponse$FailureReason' => 'Failure reason of the cluster policy.
', 'DescribeCompilationJobResponse$FailureReason' => 'If a model compilation job failed, the reason it failed.
', 'DescribeComputeQuotaResponse$FailureReason' => 'Failure reason of the compute allocation definition.
', 'DescribeDomainResponse$FailureReason' => 'The failure reason.
', 'DescribeEndpointOutput$FailureReason' => 'If the status of the endpoint is Failed, the reason why it failed.
The reason that the FeatureGroup failed to be replicated in the OfflineStore. This is failure can occur because:
The FeatureGroup could not be created in the OfflineStore.
The FeatureGroup could not be deleted from the OfflineStore.
The reason your flow definition failed.
', 'DescribeHubContentResponse$FailureReason' => 'The failure reason if importing hub content failed.
', 'DescribeHubResponse$FailureReason' => 'The failure reason if importing hub content failed.
', 'DescribeHyperParameterTuningJobResponse$FailureReason' => 'If the tuning job failed, the reason it failed.
', 'DescribeImageResponse$FailureReason' => 'When a create, update, or delete operation fails, the reason for the failure.
', 'DescribeImageVersionResponse$FailureReason' => 'When a create or delete operation fails, the reason for the failure.
', 'DescribeInferenceComponentOutput$FailureReason' => 'If the inference component status is Failed, the reason for the failure.
If the job fails, provides information why the job failed.
', 'DescribeLabelingJobResponse$FailureReason' => 'If the job failed, the reason that it failed.
', 'DescribeModelCardExportJobResponse$FailureReason' => 'The failure reason if the model export job fails.
', 'DescribeMonitoringScheduleResponse$FailureReason' => 'A string, up to one KB in size, that contains the reason a monitoring job failed, if it failed.
', 'DescribeNotebookInstanceOutput$FailureReason' => 'If status is Failed, the reason it failed.
If the optimization job status is FAILED, the reason for the failure.
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
', 'DescribeSpaceResponse$FailureReason' => 'The failure reason.
', 'DescribeTrainingJobResponse$FailureReason' => 'If the training job failed, the reason it failed.
', 'DescribeTransformJobResponse$FailureReason' => 'If the transform job failed, FailureReason describes why it failed. A transform job creates a log file, which includes error messages, and stores it as an Amazon S3 object. For more information, see Log Amazon SageMaker Events with Amazon CloudWatch.
The failure reason.
', 'Endpoint$FailureReason' => 'If the endpoint failed, the reason it failed.
', 'EndpointMetadata$FailureReason' => ' If the status of the endpoint is Failed, or the status is InService but update operation fails, this provides the reason why it failed.
The reason that the FeatureGroup failed to be replicated in the OfflineStore. This is failure may be due to a failure to create a FeatureGroup in or delete a FeatureGroup from the OfflineStore.
The reason why the flow definition creation failed. A failure reason is returned only when the flow definition status is Failed.
The reason that the training job failed.
', 'HyperParameterTuningJobSearchEntity$FailureReason' => 'The error that was created when a hyperparameter tuning job failed.
', 'Image$FailureReason' => 'When a create, update, or delete operation fails, the reason for the failure.
', 'ImageVersion$FailureReason' => 'When a create or delete operation fails, the reason for the failure.
', 'InferenceRecommendationsJob$FailureReason' => 'If the job fails, provides information why the job failed.
', 'LabelingJobSummary$FailureReason' => 'If the LabelingJobStatus field is Failed, this field contains a description of the error.
If the update wasn\'t successful, indicates the reason why it failed.
', 'ModelDashboardMonitoringSchedule$FailureReason' => 'If a monitoring job failed, provides the reason.
', 'MonitoringExecutionSummary$FailureReason' => 'Contains the reason a monitoring job failed, if it failed.
', 'MonitoringSchedule$FailureReason' => 'If the monitoring schedule failed, the reason it failed.
', 'PipelineExecutionStep$FailureReason' => 'The reason why the step failed execution. This is only returned if the step failed its execution.
', 'ProcessingJob$FailureReason' => 'A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
', 'ProcessingJobSummary$FailureReason' => 'A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
', 'ResourceInUse$Message' => NULL, 'ResourceLimitExceeded$Message' => NULL, 'ResourceNotFound$Message' => NULL, 'TrainingJob$FailureReason' => 'If the training job failed, the reason it failed.
', 'TransformJob$FailureReason' => 'If the transform job failed, the reason it failed.
', 'TransformJobSummary$FailureReason' => 'If the transform job failed, the reason it failed.
', ], ], 'FairShare' => [ 'base' => NULL, 'refs' => [ 'SchedulerConfig$FairShare' => 'When enabled, entities borrow idle compute based on their assigned FairShareWeight.
When disabled, entities borrow idle compute based on a first-come first-serve basis.
Default is Enabled.
Assigned entity fair-share weight. Idle compute will be shared across entities based on these assigned weights. This weight is only used when FairShare is enabled.
A weight of 0 is the lowest priority and 100 is the highest. Weight 0 is the default.
', ], ], 'FeatureAdditions' => [ 'base' => NULL, 'refs' => [ 'UpdateFeatureGroupRequest$FeatureAdditions' => 'Updates the feature group. Updating a feature group is an asynchronous operation. When you get an HTTP 200 response, you\'ve made a valid request. It takes some time after you\'ve made a valid request for Feature Store to update the feature group.
', ], ], 'FeatureDefinition' => [ 'base' => 'A list of features. You must include FeatureName and FeatureType. Valid feature FeatureTypes are Integral, Fractional and String.
A list of Feature names and types. Name and Type is compulsory per Feature.
Valid feature FeatureTypes are Integral, Fractional and String.
FeatureNames cannot be any of the following: is_deleted, write_time, api_invocation_time
You can create up to 2,500 FeatureDefinitions per FeatureGroup.
A list of the Features in the FeatureGroup. Each feature is defined by a FeatureName and FeatureType.
A list of Features. Each Feature must include a FeatureName and a FeatureType.
Valid FeatureTypes are Integral, Fractional and String.
FeatureNames cannot be any of the following: is_deleted, write_time, api_invocation_time.
You can create up to 2,500 FeatureDefinitions per FeatureGroup.
The description you added to describe the feature.
', 'FeatureMetadata$Description' => 'An optional description that you specify to better describe the feature.
', 'UpdateFeatureMetadataRequest$Description' => 'A description that you can write to better describe the feature.
', ], ], 'FeatureGroup' => [ 'base' => 'Amazon SageMaker Feature Store stores features in a collection called Feature Group. A Feature Group can be visualized as a table which has rows, with a unique identifier for each row where each column in the table is a feature. In principle, a Feature Group is composed of features and values per features.
', 'refs' => [ 'SearchRecord$FeatureGroup' => NULL, ], ], 'FeatureGroupArn' => [ 'base' => NULL, 'refs' => [ 'CreateFeatureGroupResponse$FeatureGroupArn' => 'The Amazon Resource Name (ARN) of the FeatureGroup. This is a unique identifier for the feature group.
The Amazon Resource Name (ARN) of the FeatureGroup.
The Amazon Resource Number (ARN) of the feature group that contains the feature.
', 'FeatureGroup$FeatureGroupArn' => 'The Amazon Resource Name (ARN) of a FeatureGroup.
Unique identifier for the FeatureGroup.
The Amazon Resource Number (ARN) of the feature group.
', 'UpdateFeatureGroupResponse$FeatureGroupArn' => 'The Amazon Resource Number (ARN) of the feature group that you\'re updating.
', ], ], 'FeatureGroupMaxResults' => [ 'base' => NULL, 'refs' => [ 'ListFeatureGroupsRequest$MaxResults' => 'The maximum number of results returned by ListFeatureGroups.
The name of the FeatureGroup. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.
The name:
Must start with an alphanumeric character.
Can only include alphanumeric characters, underscores, and hyphens. Spaces are not allowed.
The name of the FeatureGroup you want to delete. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.
he name of the FeatureGroup.
The name of the feature group that you\'ve specified.
', 'FeatureGroup$FeatureGroupName' => 'The name of the FeatureGroup.
The name of FeatureGroup.
The name of the feature group containing the feature.
', 'ProcessingFeatureStoreOutput$FeatureGroupName' => 'The name of the Amazon SageMaker FeatureGroup to use as the destination for processing job output. Note that your processing script is responsible for putting records into your Feature Store.
', ], ], 'FeatureGroupNameContains' => [ 'base' => NULL, 'refs' => [ 'ListFeatureGroupsRequest$NameContains' => 'A string that partially matches one or more FeatureGroups names. Filters FeatureGroups by name.
The name or Amazon Resource Name (ARN) of the FeatureGroup you want described.
The name or Amazon Resource Name (ARN) of the feature group containing the feature.
', 'UpdateFeatureGroupRequest$FeatureGroupName' => 'The name or Amazon Resource Name (ARN) of the feature group that you\'re updating.
', 'UpdateFeatureMetadataRequest$FeatureGroupName' => 'The name or Amazon Resource Name (ARN) of the feature group containing the feature that you\'re updating.
', ], ], 'FeatureGroupSortBy' => [ 'base' => NULL, 'refs' => [ 'ListFeatureGroupsRequest$SortBy' => 'The value on which the feature group list is sorted.
', ], ], 'FeatureGroupSortOrder' => [ 'base' => NULL, 'refs' => [ 'ListFeatureGroupsRequest$SortOrder' => 'The order in which feature groups are listed.
', ], ], 'FeatureGroupStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeFeatureGroupResponse$FeatureGroupStatus' => 'The status of the feature group.
', 'FeatureGroup$FeatureGroupStatus' => 'A FeatureGroup status.
The status of a FeatureGroup. The status can be any of the following: Creating, Created, CreateFail, Deleting or DetailFail.
A FeatureGroup status. Filters by FeatureGroup status.
A summary of feature groups.
', ], ], 'FeatureGroupSummary' => [ 'base' => 'The name, ARN, CreationTime, FeatureGroup values, LastUpdatedTime and EnableOnlineStorage status of a FeatureGroup.
The metadata for a feature. It can either be metadata that you specify, or metadata that is updated automatically.
', 'refs' => [ 'SearchRecord$FeatureMetadata' => 'The feature metadata used to search through the features.
', ], ], 'FeatureName' => [ 'base' => NULL, 'refs' => [ 'CreateFeatureGroupRequest$RecordIdentifierFeatureName' => 'The name of the Feature whose value uniquely identifies a Record defined in the FeatureStore. Only the latest record per identifier value will be stored in the OnlineStore. RecordIdentifierFeatureName must be one of feature definitions\' names.
You use the RecordIdentifierFeatureName to access data in a FeatureStore.
This name:
Must start with an alphanumeric character.
Can only contains alphanumeric characters, hyphens, underscores. Spaces are not allowed.
The name of the feature that stores the EventTime of a Record in a FeatureGroup.
An EventTime is a point in time when a new event occurs that corresponds to the creation or update of a Record in a FeatureGroup. All Records in the FeatureGroup must have a corresponding EventTime.
An EventTime can be a String or Fractional.
Fractional: EventTime feature values must be a Unix timestamp in seconds.
String: EventTime feature values must be an ISO-8601 string in the format. The following formats are supported yyyy-MM-dd\'T\'HH:mm:ssZ and yyyy-MM-dd\'T\'HH:mm:ss.SSSZ where yyyy, MM, and dd represent the year, month, and day respectively and HH, mm, ss, and if applicable, SSS represent the hour, month, second and milliseconds respsectively. \'T\' and Z are constants.
The name of the Feature used for RecordIdentifier, whose value uniquely identifies a record stored in the feature store.
The name of the feature that stores the EventTime of a Record in a FeatureGroup.
An EventTime is a point in time when a new event occurs that corresponds to the creation or update of a Record in a FeatureGroup. All Records in the FeatureGroup have a corresponding EventTime.
The name of the feature.
', 'DescribeFeatureMetadataResponse$FeatureName' => 'The name of the feature that you\'ve specified.
', 'FeatureDefinition$FeatureName' => 'The name of a feature. The type must be a string. FeatureName cannot be any of the following: is_deleted, write_time, api_invocation_time.
The name:
Must start with an alphanumeric character.
Can only include alphanumeric characters, underscores, and hyphens. Spaces are not allowed.
The name of the Feature whose value uniquely identifies a Record defined in the FeatureGroup FeatureDefinitions.
The name of the feature that stores the EventTime of a Record in a FeatureGroup.
A EventTime is point in time when a new event occurs that corresponds to the creation or update of a Record in FeatureGroup. All Records in the FeatureGroup must have a corresponding EventTime.
The name of feature.
', 'UpdateFeatureMetadataRequest$FeatureName' => 'The name of the feature that you\'re updating.
', ], ], 'FeatureParameter' => [ 'base' => 'A key-value pair that you specify to describe the feature.
', 'refs' => [ 'FeatureParameterAdditions$member' => NULL, 'FeatureParameters$member' => NULL, ], ], 'FeatureParameterAdditions' => [ 'base' => NULL, 'refs' => [ 'UpdateFeatureMetadataRequest$ParameterAdditions' => 'A list of key-value pairs that you can add to better describe the feature.
', ], ], 'FeatureParameterKey' => [ 'base' => NULL, 'refs' => [ 'FeatureParameter$Key' => 'A key that must contain a value to describe the feature.
', 'FeatureParameterRemovals$member' => NULL, ], ], 'FeatureParameterRemovals' => [ 'base' => NULL, 'refs' => [ 'UpdateFeatureMetadataRequest$ParameterRemovals' => 'A list of parameter keys that you can specify to remove parameters that describe your feature.
', ], ], 'FeatureParameterValue' => [ 'base' => NULL, 'refs' => [ 'FeatureParameter$Value' => 'The value that belongs to a key.
', ], ], 'FeatureParameters' => [ 'base' => NULL, 'refs' => [ 'DescribeFeatureMetadataResponse$Parameters' => 'The key-value pairs that you added to describe the feature.
', 'FeatureMetadata$Parameters' => 'Optional key-value pairs that you specify to better describe the feature.
', ], ], 'FeatureStatus' => [ 'base' => NULL, 'refs' => [ 'AmazonQSettings$Status' => 'Whether Amazon Q has been enabled within the domain.
', 'DirectDeploySettings$Status' => 'Describes whether model deployment permissions are enabled or disabled in the Canvas application.
', 'DockerSettings$EnableDockerAccess' => 'Indicates whether the domain can access Docker.
', 'EmrServerlessSettings$Status' => 'Describes whether Amazon EMR Serverless job capabilities are enabled or disabled in the SageMaker Canvas application.
', 'IdentityProviderOAuthSetting$Status' => 'Describes whether OAuth for a data source is enabled or disabled in the Canvas application.
', 'KendraSettings$Status' => 'Describes whether the document querying feature is enabled or disabled in the Canvas application.
', 'ModelRegisterSettings$Status' => 'Describes whether the integration to the model registry is enabled or disabled in the Canvas application.
', 'TimeSeriesForecastingSettings$Status' => 'Describes whether time series forecasting is enabled or disabled in the Canvas application.
', ], ], 'FeatureType' => [ 'base' => NULL, 'refs' => [ 'DescribeFeatureMetadataResponse$FeatureType' => 'The data type of the feature.
', 'FeatureDefinition$FeatureType' => 'The value type of a feature. Valid values are Integral, Fractional, or String.
', 'FeatureMetadata$FeatureType' => 'The data type of the feature.
', ], ], 'FileSource' => [ 'base' => 'Contains details regarding the file source.
', 'refs' => [ 'DriftCheckBias$ConfigFile' => 'The bias config file for a model.
', 'DriftCheckExplainability$ConfigFile' => 'The explainability config file for the model.
', ], ], 'FileSystemAccessMode' => [ 'base' => NULL, 'refs' => [ 'FileSystemDataSource$FileSystemAccessMode' => 'The access mode of the mount of the directory associated with the channel. A directory can be mounted either in ro (read-only) or rw (read-write) mode.
The Amazon Elastic File System storage configuration for a SageMaker AI image.
', 'refs' => [ 'CodeEditorAppImageConfig$FileSystemConfig' => NULL, 'JupyterLabAppImageConfig$FileSystemConfig' => NULL, 'KernelGatewayImageConfig$FileSystemConfig' => 'The Amazon Elastic File System storage configuration for a SageMaker AI image.
', ], ], 'FileSystemDataSource' => [ 'base' => 'Specifies a file system data source for a channel.
', 'refs' => [ 'DataSource$FileSystemDataSource' => 'The file system that is associated with a channel.
', ], ], 'FileSystemId' => [ 'base' => NULL, 'refs' => [ 'EFSFileSystem$FileSystemId' => 'The ID of your Amazon EFS file system.
', 'EFSFileSystemConfig$FileSystemId' => 'The ID of your Amazon EFS file system.
', 'FSxLustreFileSystem$FileSystemId' => 'Amazon FSx for Lustre file system ID.
', 'FSxLustreFileSystemConfig$FileSystemId' => 'The globally unique, 17-digit, ID of the file system, assigned by Amazon FSx for Lustre.
', 'FileSystemDataSource$FileSystemId' => 'The file system id.
', ], ], 'FileSystemPath' => [ 'base' => NULL, 'refs' => [ 'EFSFileSystemConfig$FileSystemPath' => 'The path to the file system directory that is accessible in Amazon SageMaker AI Studio. Permitted users can access only this directory and below.
', 'FSxLustreFileSystemConfig$FileSystemPath' => 'The path to the file system directory that is accessible in Amazon SageMaker Studio. Permitted users can access only this directory and below.
', ], ], 'FileSystemType' => [ 'base' => NULL, 'refs' => [ 'FileSystemDataSource$FileSystemType' => 'The file system type.
', ], ], 'FillingTransformationMap' => [ 'base' => NULL, 'refs' => [ 'FillingTransformations$value' => NULL, ], ], 'FillingTransformationValue' => [ 'base' => NULL, 'refs' => [ 'FillingTransformationMap$value' => NULL, ], ], 'FillingTransformations' => [ 'base' => NULL, 'refs' => [ 'TimeSeriesTransformations$Filling' => 'A key value pair defining the filling method for a column, where the key is the column name and the value is an object which defines the filling logic. You can specify multiple filling methods for a single column.
The supported filling methods and their corresponding options are:
frontfill: none (Supported only for target column)
middlefill: zero, value, median, mean, min, max
backfill: zero, value, median, mean, min, max
futurefill: zero, value, median, mean, min, max
To set a filling method to a specific value, set the fill parameter to the chosen filling method value (for example "backfill" : "value"), and define the filling value in an additional parameter prefixed with "_value". For example, to set backfill to a value of 2, you must include two parameters: "backfill": "value" and "backfill_value":"2".
A conditional statement for a search expression that includes a resource property, a Boolean operator, and a value. Resources that match the statement are returned in the results from the Search API.
If you specify a Value, but not an Operator, SageMaker uses the equals operator.
In search, there are several property types:
To define a metric filter, enter a value using the form "Metrics.<name>", where <name> is a metric name. For example, the following filter searches for training jobs with an "accuracy" metric greater than "0.9":
{
"Name": "Metrics.accuracy",
"Operator": "GreaterThan",
"Value": "0.9"
}
To define a hyperparameter filter, enter a value with the form "HyperParameters.<name>". Decimal hyperparameter values are treated as a decimal in a comparison if the specified Value is also a decimal value. If the specified Value is an integer, the decimal hyperparameter values are treated as integers. For example, the following filter is satisfied by training jobs with a "learning_rate" hyperparameter that is less than "0.5":
{
"Name": "HyperParameters.learning_rate",
"Operator": "LessThan",
"Value": "0.5"
}
To define a tag filter, enter a value with the form Tags.<key>.
A list of filters. Each filter acts on a property. Filters must contain at least one Filters value. For example, a NestedFilters call might include a filter on the PropertyName parameter of the InputDataConfig property: InputDataConfig.DataSource.S3DataSource.S3Uri.
A list of filter objects.
', ], ], 'FilterValue' => [ 'base' => NULL, 'refs' => [ 'Filter$Value' => 'A value used with Name and Operator to determine which resources satisfy the filter\'s condition. For numerical properties, Value must be an integer or floating-point decimal. For timestamp properties, Value must be an ISO 8601 date-time string of the following format: YYYY-mm-dd\'T\'HH:MM:SS.
The best candidate result from an AutoML training job.
', 'refs' => [ 'AutoMLCandidate$FinalAutoMLJobObjectiveMetric' => NULL, ], ], 'FinalHyperParameterTuningJobObjectiveMetric' => [ 'base' => 'Shows the latest objective metric emitted by a training job that was launched by a hyperparameter tuning job. You define the objective metric in the HyperParameterTuningJobObjective parameter of HyperParameterTuningJobConfig.
The FinalHyperParameterTuningJobObjectiveMetric object that specifies the value of the objective metric of the tuning job that launched this training job.
', ], ], 'FinalMetricDataList' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingJobResponse$FinalMetricDataList' => 'A collection of MetricData objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
A list of final metric values that are set when the training job completes. Used only if the training job was configured to use metrics.
', ], ], 'FlatInvocations' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobStoppingConditions$FlatInvocations' => 'Stops a load test when the number of invocations (TPS) peaks and flattens, which means that the instance has reached capacity. The default value is Stop. If you want the load test to continue after invocations have flattened, set the value to Continue.
The value of the metric.
', 'MetricDatum$Value' => 'The value of the metric.
', 'RecommendationMetrics$CostPerHour' => 'Defines the cost per hour for the instance.
', 'RecommendationMetrics$CostPerInference' => 'Defines the cost per inference for the instance .
', ], ], 'FlowDefinitionArn' => [ 'base' => NULL, 'refs' => [ 'CreateFlowDefinitionResponse$FlowDefinitionArn' => 'The Amazon Resource Name (ARN) of the flow definition you create.
', 'DescribeFlowDefinitionResponse$FlowDefinitionArn' => 'The Amazon Resource Name (ARN) of the flow defintion.
', 'FlowDefinitionSummary$FlowDefinitionArn' => 'The Amazon Resource Name (ARN) of the flow definition.
', ], ], 'FlowDefinitionName' => [ 'base' => NULL, 'refs' => [ 'CreateFlowDefinitionRequest$FlowDefinitionName' => 'The name of your flow definition.
', 'DeleteFlowDefinitionRequest$FlowDefinitionName' => 'The name of the flow definition you are deleting.
', 'DescribeFlowDefinitionRequest$FlowDefinitionName' => 'The name of the flow definition.
', 'DescribeFlowDefinitionResponse$FlowDefinitionName' => 'The Amazon Resource Name (ARN) of the flow definition.
', 'FlowDefinitionSummary$FlowDefinitionName' => 'The name of the flow definition.
', ], ], 'FlowDefinitionOutputConfig' => [ 'base' => 'Contains information about where human output will be stored.
', 'refs' => [ 'CreateFlowDefinitionRequest$OutputConfig' => 'An object containing information about where the human review results will be uploaded.
', 'DescribeFlowDefinitionResponse$OutputConfig' => 'An object containing information about the output file.
', ], ], 'FlowDefinitionStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeFlowDefinitionResponse$FlowDefinitionStatus' => 'The status of the flow definition. Valid values are listed below.
', 'FlowDefinitionSummary$FlowDefinitionStatus' => 'The status of the flow definition. Valid values:
', ], ], 'FlowDefinitionSummaries' => [ 'base' => NULL, 'refs' => [ 'ListFlowDefinitionsResponse$FlowDefinitionSummaries' => 'An array of objects describing the flow definitions.
', ], ], 'FlowDefinitionSummary' => [ 'base' => 'Contains summary information about the flow definition.
', 'refs' => [ 'FlowDefinitionSummaries$member' => NULL, ], ], 'FlowDefinitionTaskAvailabilityLifetimeInSeconds' => [ 'base' => NULL, 'refs' => [ 'HumanLoopConfig$TaskAvailabilityLifetimeInSeconds' => 'The length of time that a task remains available for review by human workers.
', ], ], 'FlowDefinitionTaskCount' => [ 'base' => NULL, 'refs' => [ 'HumanLoopConfig$TaskCount' => 'The number of distinct workers who will perform the same task on each object. For example, if TaskCount is set to 3 for an image classification labeling job, three workers will classify each input image. Increasing TaskCount can improve label accuracy.
A description for the human worker task.
', ], ], 'FlowDefinitionTaskKeyword' => [ 'base' => NULL, 'refs' => [ 'FlowDefinitionTaskKeywords$member' => NULL, ], ], 'FlowDefinitionTaskKeywords' => [ 'base' => NULL, 'refs' => [ 'HumanLoopConfig$TaskKeywords' => 'Keywords used to describe the task so that workers can discover the task.
', ], ], 'FlowDefinitionTaskTimeLimitInSeconds' => [ 'base' => NULL, 'refs' => [ 'HumanLoopConfig$TaskTimeLimitInSeconds' => 'The amount of time that a worker has to complete a task. The default value is 3,600 seconds (1 hour).
', ], ], 'FlowDefinitionTaskTitle' => [ 'base' => NULL, 'refs' => [ 'HumanLoopConfig$TaskTitle' => 'A title for the human worker task.
', ], ], 'ForecastFrequency' => [ 'base' => NULL, 'refs' => [ 'TimeSeriesForecastingJobConfig$ForecastFrequency' => 'The frequency of predictions in a forecast.
Valid intervals are an integer followed by Y (Year), M (Month), W (Week), D (Day), H (Hour), and min (Minute). For example, 1D indicates every day and 15min indicates every 15 minutes. The value of a frequency must not overlap with the next larger frequency. For example, you must use a frequency of 1H instead of 60min.
The valid values for each frequency are the following:
Minute - 1-59
Hour - 1-23
Day - 1-6
Week - 1-4
Month - 1-11
Year - 1
The number of time-steps that the model predicts. The forecast horizon is also called the prediction length. The maximum forecast horizon is the lesser of 500 time-steps or 1/4 of the time-steps in the dataset.
', ], ], 'ForecastQuantile' => [ 'base' => NULL, 'refs' => [ 'ForecastQuantiles$member' => NULL, ], ], 'ForecastQuantiles' => [ 'base' => NULL, 'refs' => [ 'TimeSeriesForecastingJobConfig$ForecastQuantiles' => 'The quantiles used to train the model for forecasts at a specified quantile. You can specify quantiles from 0.01 (p1) to 0.99 (p99), by increments of 0.01 or higher. Up to five forecast quantiles can be specified. When ForecastQuantiles is not provided, the AutoML job uses the quantiles p10, p50, and p90 as default.
Identifies the framework in which the model was trained. For example: TENSORFLOW.
', ], ], 'FrameworkVersion' => [ 'base' => NULL, 'refs' => [ 'InputConfig$FrameworkVersion' => 'Specifies the framework version to use. This API field is only supported for the MXNet, PyTorch, TensorFlow and TensorFlow Lite frameworks.
For information about framework versions supported for cloud targets and edge devices, see Cloud Supported Instance Types and Frameworks and Edge Supported Frameworks.
', ], ], 'GenerateCandidateDefinitionsOnly' => [ 'base' => NULL, 'refs' => [ 'CreateAutoMLJobRequest$GenerateCandidateDefinitionsOnly' => 'Generates possible candidates without training the models. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
', 'DescribeAutoMLJobResponse$GenerateCandidateDefinitionsOnly' => 'Indicates whether the output for an AutoML job generates candidate definitions only.
', 'TabularJobConfig$GenerateCandidateDefinitionsOnly' => 'Generates possible candidates without training the models. A model candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
', ], ], 'GenerativeAiSettings' => [ 'base' => 'The generative AI settings for the SageMaker Canvas application.
Configure these settings for Canvas users starting chats with generative AI foundation models. For more information, see Use generative AI with foundation models.
', 'refs' => [ 'CanvasAppSettings$GenerativeAiSettings' => 'The generative AI settings for the SageMaker Canvas application.
', ], ], 'GetDeviceFleetReportRequest' => [ 'base' => NULL, 'refs' => [], ], 'GetDeviceFleetReportResponse' => [ 'base' => NULL, 'refs' => [], ], 'GetLineageGroupPolicyRequest' => [ 'base' => NULL, 'refs' => [], ], 'GetLineageGroupPolicyResponse' => [ 'base' => NULL, 'refs' => [], ], 'GetModelPackageGroupPolicyInput' => [ 'base' => NULL, 'refs' => [], ], 'GetModelPackageGroupPolicyOutput' => [ 'base' => NULL, 'refs' => [], ], 'GetSagemakerServicecatalogPortfolioStatusInput' => [ 'base' => NULL, 'refs' => [], ], 'GetSagemakerServicecatalogPortfolioStatusOutput' => [ 'base' => NULL, 'refs' => [], ], 'GetScalingConfigurationRecommendationRequest' => [ 'base' => NULL, 'refs' => [], ], 'GetScalingConfigurationRecommendationResponse' => [ 'base' => NULL, 'refs' => [], ], 'GetSearchSuggestionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'GetSearchSuggestionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'Gid' => [ 'base' => NULL, 'refs' => [ 'CustomPosixUserConfig$Gid' => 'The POSIX group ID.
', ], ], 'GitConfig' => [ 'base' => 'Specifies configuration details for a Git repository in your Amazon Web Services account.
', 'refs' => [ 'CodeRepositorySummary$GitConfig' => 'Configuration details for the Git repository, including the URL where it is located and the ARN of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository.
', 'CreateCodeRepositoryInput$GitConfig' => 'Specifies details about the repository, including the URL where the repository is located, the default branch, and credentials to use to access the repository.
', 'DescribeCodeRepositoryOutput$GitConfig' => 'Configuration details about the repository, including the URL where the repository is located, the default branch, and the Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository.
', ], ], 'GitConfigForUpdate' => [ 'base' => 'Specifies configuration details for a Git repository when the repository is updated.
', 'refs' => [ 'UpdateCodeRepositoryInput$GitConfig' => 'The configuration of the git repository, including the URL and the Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository. The secret must have a staging label of AWSCURRENT and must be in the following format:
{"username": UserName, "password": Password}
The URL where the Git repository is located.
', ], ], 'Group' => [ 'base' => NULL, 'refs' => [ 'Groups$member' => NULL, ], ], 'GroupingAttributeName' => [ 'base' => NULL, 'refs' => [ 'GroupingAttributeNames$member' => NULL, ], ], 'GroupingAttributeNames' => [ 'base' => NULL, 'refs' => [ 'TimeSeriesConfig$GroupingAttributeNames' => 'A set of columns names that can be grouped with the item identifier column to create a composite key for which a target value is predicted.
', ], ], 'Groups' => [ 'base' => NULL, 'refs' => [ 'OidcMemberDefinition$Groups' => 'A list of comma seperated strings that identifies user groups in your OIDC IdP. Each user group is made up of a group of private workers.
', ], ], 'HiddenAppTypesList' => [ 'base' => NULL, 'refs' => [ 'StudioWebPortalSettings$HiddenAppTypes' => 'The Applications supported in Studio that are hidden from the Studio left navigation pane.
', ], ], 'HiddenInstanceTypesList' => [ 'base' => NULL, 'refs' => [ 'StudioWebPortalSettings$HiddenInstanceTypes' => 'The instance types you are hiding from the Studio user interface.
', ], ], 'HiddenMlToolsList' => [ 'base' => NULL, 'refs' => [ 'StudioWebPortalSettings$HiddenMlTools' => 'The machine learning tools that are hidden from the Studio left navigation pane.
', ], ], 'HiddenSageMakerImage' => [ 'base' => 'The SageMaker images that are hidden from the Studio user interface. You must specify the SageMaker image name and version aliases.
', 'refs' => [ 'HiddenSageMakerImageVersionAliasesList$member' => NULL, ], ], 'HiddenSageMakerImageVersionAliasesList' => [ 'base' => NULL, 'refs' => [ 'StudioWebPortalSettings$HiddenSageMakerImageVersionAliases' => 'The version aliases you are hiding from the Studio user interface.
', ], ], 'HolidayConfig' => [ 'base' => NULL, 'refs' => [ 'TimeSeriesForecastingJobConfig$HolidayConfig' => 'The collection of holiday featurization attributes used to incorporate national holiday information into your forecasting model.
', ], ], 'HolidayConfigAttributes' => [ 'base' => 'Stores the holiday featurization attributes applicable to each item of time-series datasets during the training of a forecasting model. This allows the model to identify patterns associated with specific holidays.
', 'refs' => [ 'HolidayConfig$member' => NULL, ], ], 'HookParameters' => [ 'base' => NULL, 'refs' => [ 'DebugHookConfig$HookParameters' => 'Configuration information for the Amazon SageMaker Debugger hook parameters.
', ], ], 'Horovod' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionRequest$Horovod' => 'Indicates Horovod compatibility.
', 'DescribeImageVersionResponse$Horovod' => 'Indicates Horovod compatibility.
', 'UpdateImageVersionRequest$Horovod' => 'Indicates Horovod compatibility.
', ], ], 'HubArn' => [ 'base' => NULL, 'refs' => [ 'CreateHubContentReferenceResponse$HubArn' => 'The ARN of the hub that the hub content reference was added to.
', 'CreateHubResponse$HubArn' => 'The Amazon Resource Name (ARN) of the hub.
', 'DescribeHubContentResponse$HubArn' => 'The Amazon Resource Name (ARN) of the hub that contains the content.
', 'DescribeHubResponse$HubArn' => 'The Amazon Resource Name (ARN) of the hub.
', 'HubInfo$HubArn' => 'The Amazon Resource Name (ARN) of the hub.
', 'ImportHubContentResponse$HubArn' => 'The ARN of the hub that the content was imported into.
', 'UpdateHubResponse$HubArn' => 'The Amazon Resource Name (ARN) of the updated hub.
', ], ], 'HubContentArn' => [ 'base' => NULL, 'refs' => [ 'CreateHubContentReferenceResponse$HubContentArn' => 'The ARN of the hub content.
', 'DescribeHubContentResponse$HubContentArn' => 'The Amazon Resource Name (ARN) of the hub content.
', 'HubContentInfo$HubContentArn' => 'The Amazon Resource Name (ARN) of the hub content.
', 'ImportHubContentResponse$HubContentArn' => 'The ARN of the hub content that was imported.
', 'InferenceHubAccessConfig$HubContentArn' => 'The ARN of the hub content for which deployment access is allowed.
', ], ], 'HubContentDependency' => [ 'base' => 'Any dependencies related to hub content, such as scripts, model artifacts, datasets, or notebooks.
', 'refs' => [ 'HubContentDependencyList$member' => NULL, ], ], 'HubContentDependencyList' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$HubContentDependencies' => 'The location of any dependencies that the hub content has, such as scripts, model artifacts, datasets, or notebooks.
', ], ], 'HubContentDescription' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$HubContentDescription' => 'A description of the hub content.
', 'HubContentInfo$HubContentDescription' => 'A description of the hub content.
', 'ImportHubContentRequest$HubContentDescription' => 'A description of the hub content to import.
', ], ], 'HubContentDisplayName' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$HubContentDisplayName' => 'The display name of the hub content.
', 'HubContentInfo$HubContentDisplayName' => 'The display name of the hub content.
', 'ImportHubContentRequest$HubContentDisplayName' => 'The display name of the hub content to import.
', ], ], 'HubContentDocument' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$HubContentDocument' => 'The hub content document that describes information about the hub content such as type, associated containers, scripts, and more.
', 'ImportHubContentRequest$HubContentDocument' => 'The hub content document that describes information about the hub content such as type, associated containers, scripts, and more.
', ], ], 'HubContentInfo' => [ 'base' => 'Information about hub content.
', 'refs' => [ 'HubContentInfoList$member' => NULL, ], ], 'HubContentInfoList' => [ 'base' => NULL, 'refs' => [ 'ListHubContentVersionsResponse$HubContentSummaries' => 'The summaries of the listed hub content versions.
', 'ListHubContentsResponse$HubContentSummaries' => 'The summaries of the listed hub content.
', ], ], 'HubContentMarkdown' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$HubContentMarkdown' => 'A string that provides a description of the hub content. This string can include links, tables, and standard markdown formating.
', 'ImportHubContentRequest$HubContentMarkdown' => 'A string that provides a description of the hub content. This string can include links, tables, and standard markdown formating.
', ], ], 'HubContentName' => [ 'base' => NULL, 'refs' => [ 'CreateHubContentReferenceRequest$HubContentName' => 'The name of the hub content to reference.
', 'DeleteHubContentReferenceRequest$HubContentName' => 'The name of the hub content to delete.
', 'DeleteHubContentRequest$HubContentName' => 'The name of the content that you want to delete from a hub.
', 'DescribeHubContentRequest$HubContentName' => 'The name of the content to describe.
', 'DescribeHubContentResponse$HubContentName' => 'The name of the hub content.
', 'HubContentInfo$HubContentName' => 'The name of the hub content.
', 'ImportHubContentRequest$HubContentName' => 'The name of the hub content to import.
', 'ListHubContentVersionsRequest$HubContentName' => 'The name of the hub content.
', ], ], 'HubContentSearchKeywordList' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$HubContentSearchKeywords' => 'The searchable keywords for the hub content.
', 'HubContentInfo$HubContentSearchKeywords' => 'The searchable keywords for the hub content.
', 'ImportHubContentRequest$HubContentSearchKeywords' => 'The searchable keywords of the hub content.
', ], ], 'HubContentSortBy' => [ 'base' => NULL, 'refs' => [ 'ListHubContentVersionsRequest$SortBy' => 'Sort hub content versions by either name or creation time.
', 'ListHubContentsRequest$SortBy' => 'Sort hub content versions by either name or creation time.
', ], ], 'HubContentStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$HubContentStatus' => 'The status of the hub content.
', 'HubContentInfo$HubContentStatus' => 'The status of the hub content.
', ], ], 'HubContentSupportStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$SupportStatus' => 'The support status of the hub content.
', 'HubContentInfo$SupportStatus' => 'The support status of the hub content.
', ], ], 'HubContentType' => [ 'base' => NULL, 'refs' => [ 'DeleteHubContentReferenceRequest$HubContentType' => 'The type of hub content reference to delete. The only supported type of hub content reference to delete is ModelReference.
The type of content that you want to delete from a hub.
', 'DescribeHubContentRequest$HubContentType' => 'The type of content in the hub.
', 'DescribeHubContentResponse$HubContentType' => 'The type of hub content.
', 'HubContentInfo$HubContentType' => 'The type of hub content.
', 'ImportHubContentRequest$HubContentType' => 'The type of hub content to import.
', 'ListHubContentVersionsRequest$HubContentType' => 'The type of hub content to list versions of.
', 'ListHubContentsRequest$HubContentType' => 'The type of hub content to list.
', ], ], 'HubContentVersion' => [ 'base' => NULL, 'refs' => [ 'CreateHubContentReferenceRequest$MinVersion' => 'The minimum version of the hub content to reference.
', 'DeleteHubContentRequest$HubContentVersion' => 'The version of the content that you want to delete from a hub.
', 'DescribeHubContentRequest$HubContentVersion' => 'The version of the content to describe.
', 'DescribeHubContentResponse$HubContentVersion' => 'The version of the hub content.
', 'HubContentInfo$HubContentVersion' => 'The version of the hub content.
', 'ImportHubContentRequest$HubContentVersion' => 'The version of the hub content to import.
', 'ListHubContentVersionsRequest$MinVersion' => 'The lower bound of the hub content versions to list.
', ], ], 'HubDescription' => [ 'base' => NULL, 'refs' => [ 'CreateHubRequest$HubDescription' => 'A description of the hub.
', 'DescribeHubResponse$HubDescription' => 'A description of the hub.
', 'HubInfo$HubDescription' => 'A description of the hub.
', 'UpdateHubRequest$HubDescription' => 'A description of the updated hub.
', ], ], 'HubDisplayName' => [ 'base' => NULL, 'refs' => [ 'CreateHubRequest$HubDisplayName' => 'The display name of the hub.
', 'DescribeHubResponse$HubDisplayName' => 'The display name of the hub.
', 'HubInfo$HubDisplayName' => 'The display name of the hub.
', 'UpdateHubRequest$HubDisplayName' => 'The display name of the hub.
', ], ], 'HubInfo' => [ 'base' => 'Information about a hub.
', 'refs' => [ 'HubInfoList$member' => NULL, ], ], 'HubInfoList' => [ 'base' => NULL, 'refs' => [ 'ListHubsResponse$HubSummaries' => 'The summaries of the listed hubs.
', ], ], 'HubName' => [ 'base' => NULL, 'refs' => [ 'CreateHubRequest$HubName' => 'The name of the hub to create.
', 'DescribeHubContentResponse$HubName' => 'The name of the hub that contains the content.
', 'DescribeHubResponse$HubName' => 'The name of the hub.
', 'HubInfo$HubName' => 'The name of the hub.
', ], ], 'HubNameOrArn' => [ 'base' => NULL, 'refs' => [ 'CreateHubContentReferenceRequest$HubName' => 'The name of the hub to add the hub content reference to.
', 'DeleteHubContentReferenceRequest$HubName' => 'The name of the hub to delete the hub content reference from.
', 'DeleteHubContentRequest$HubName' => 'The name of the hub that you want to delete content in.
', 'DeleteHubRequest$HubName' => 'The name of the hub to delete.
', 'DescribeHubContentRequest$HubName' => 'The name of the hub that contains the content to describe.
', 'DescribeHubRequest$HubName' => 'The name of the hub to describe.
', 'ImportHubContentRequest$HubName' => 'The name of the hub to import content into.
', 'ListHubContentVersionsRequest$HubName' => 'The name of the hub to list the content versions of.
', 'ListHubContentsRequest$HubName' => 'The name of the hub to list the contents of.
', 'UpdateHubRequest$HubName' => 'The name of the hub to update.
', ], ], 'HubS3StorageConfig' => [ 'base' => 'The Amazon S3 storage configuration of a hub.
', 'refs' => [ 'CreateHubRequest$S3StorageConfig' => 'The Amazon S3 storage configuration for the hub.
', 'DescribeHubResponse$S3StorageConfig' => 'The Amazon S3 storage configuration for the hub.
', ], ], 'HubSearchKeyword' => [ 'base' => NULL, 'refs' => [ 'HubContentSearchKeywordList$member' => NULL, 'HubSearchKeywordList$member' => NULL, ], ], 'HubSearchKeywordList' => [ 'base' => NULL, 'refs' => [ 'CreateHubRequest$HubSearchKeywords' => 'The searchable keywords for the hub.
', 'DescribeHubResponse$HubSearchKeywords' => 'The searchable keywords for the hub.
', 'HubInfo$HubSearchKeywords' => 'The searchable keywords for the hub.
', 'UpdateHubRequest$HubSearchKeywords' => 'The searchable keywords for the hub.
', ], ], 'HubSortBy' => [ 'base' => NULL, 'refs' => [ 'ListHubsRequest$SortBy' => 'Sort hubs by either name or creation time.
', ], ], 'HubStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeHubResponse$HubStatus' => 'The status of the hub.
', 'HubInfo$HubStatus' => 'The status of the hub.
', ], ], 'HumanLoopActivationConditions' => [ 'base' => NULL, 'refs' => [ 'HumanLoopActivationConditionsConfig$HumanLoopActivationConditions' => 'JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract. For more information about how to structure the JSON, see JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI in the Amazon SageMaker Developer Guide.
', ], ], 'HumanLoopActivationConditionsConfig' => [ 'base' => 'Defines under what conditions SageMaker creates a human loop. Used within CreateFlowDefinition. See HumanLoopActivationConditionsConfig for the required format of activation conditions.
', 'refs' => [ 'HumanLoopActivationConfig$HumanLoopActivationConditionsConfig' => 'Container structure for defining under what conditions SageMaker creates a human loop.
', ], ], 'HumanLoopActivationConfig' => [ 'base' => 'Provides information about how and under what conditions SageMaker creates a human loop. If HumanLoopActivationConfig is not given, then all requests go to humans.
An object containing information about the events that trigger a human workflow.
', 'DescribeFlowDefinitionResponse$HumanLoopActivationConfig' => 'An object containing information about what triggers a human review workflow.
', ], ], 'HumanLoopConfig' => [ 'base' => 'Describes the work to be performed by human workers.
', 'refs' => [ 'CreateFlowDefinitionRequest$HumanLoopConfig' => 'An object containing information about the tasks the human reviewers will perform.
', 'DescribeFlowDefinitionResponse$HumanLoopConfig' => 'An object containing information about who works on the task, the workforce task price, and other task details.
', ], ], 'HumanLoopRequestSource' => [ 'base' => 'Container for configuring the source of human task requests.
', 'refs' => [ 'CreateFlowDefinitionRequest$HumanLoopRequestSource' => 'Container for configuring the source of human task requests. Use to specify if Amazon Rekognition or Amazon Textract is used as an integration source.
', 'DescribeFlowDefinitionResponse$HumanLoopRequestSource' => 'Container for configuring the source of human task requests. Used to specify if Amazon Rekognition or Amazon Textract is used as an integration source.
', ], ], 'HumanTaskConfig' => [ 'base' => 'Information required for human workers to complete a labeling task.
', 'refs' => [ 'CreateLabelingJobRequest$HumanTaskConfig' => 'Configures the labeling task and how it is presented to workers; including, but not limited to price, keywords, and batch size (task count).
', 'DescribeLabelingJobResponse$HumanTaskConfig' => 'Configuration information required for human workers to complete a labeling task.
', ], ], 'HumanTaskUiArn' => [ 'base' => NULL, 'refs' => [ 'CreateHumanTaskUiResponse$HumanTaskUiArn' => 'The Amazon Resource Name (ARN) of the human review workflow user interface you create.
', 'DescribeHumanTaskUiResponse$HumanTaskUiArn' => 'The Amazon Resource Name (ARN) of the human task user interface (worker task template).
', 'HumanLoopConfig$HumanTaskUiArn' => 'The Amazon Resource Name (ARN) of the human task user interface.
You can use standard HTML and Crowd HTML Elements to create a custom worker task template. You use this template to create a human task UI.
To learn how to create a custom HTML template, see Create Custom Worker Task Template.
To learn how to create a human task UI, which is a worker task template that can be used in a flow definition, see Create and Delete a Worker Task Templates.
', 'HumanTaskUiSummary$HumanTaskUiArn' => 'The Amazon Resource Name (ARN) of the human task user interface.
', 'RenderUiTemplateRequest$HumanTaskUiArn' => 'The HumanTaskUiArn of the worker UI that you want to render. Do not provide a HumanTaskUiArn if you use the UiTemplate parameter.
See a list of available Human Ui Amazon Resource Names (ARNs) in UiConfig.
', 'UiConfig$HumanTaskUiArn' => 'The ARN of the worker task template used to render the worker UI and tools for labeling job tasks.
Use this parameter when you are creating a labeling job for named entity recognition, 3D point cloud and video frame labeling jobs. Use your labeling job task type to select one of the following ARNs and use it with this parameter when you create a labeling job. Replace aws-region with the Amazon Web Services Region you are creating your labeling job in. For example, replace aws-region with us-west-1 if you create a labeling job in US West (N. California).
Named Entity Recognition
Use the following HumanTaskUiArn for named entity recognition labeling jobs:
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/NamedEntityRecognition
3D Point Cloud HumanTaskUiArns
Use this HumanTaskUiArn for 3D point cloud object detection and 3D point cloud object detection adjustment labeling jobs.
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectDetection
Use this HumanTaskUiArn for 3D point cloud object tracking and 3D point cloud object tracking adjustment labeling jobs.
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectTracking
Use this HumanTaskUiArn for 3D point cloud semantic segmentation and 3D point cloud semantic segmentation adjustment labeling jobs.
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudSemanticSegmentation
Video Frame HumanTaskUiArns
Use this HumanTaskUiArn for video frame object detection and video frame object detection adjustment labeling jobs.
arn:aws:sagemaker:region:394669845002:human-task-ui/VideoObjectDetection
Use this HumanTaskUiArn for video frame object tracking and video frame object tracking adjustment labeling jobs.
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/VideoObjectTracking
The name of the user interface you are creating.
', 'DeleteHumanTaskUiRequest$HumanTaskUiName' => 'The name of the human task user interface (work task template) you want to delete.
', 'DescribeHumanTaskUiRequest$HumanTaskUiName' => 'The name of the human task user interface (worker task template) you want information about.
', 'DescribeHumanTaskUiResponse$HumanTaskUiName' => 'The name of the human task user interface (worker task template).
', 'HumanTaskUiSummary$HumanTaskUiName' => 'The name of the human task user interface.
', ], ], 'HumanTaskUiStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeHumanTaskUiResponse$HumanTaskUiStatus' => 'The status of the human task user interface (worker task template). Valid values are listed below.
', ], ], 'HumanTaskUiSummaries' => [ 'base' => NULL, 'refs' => [ 'ListHumanTaskUisResponse$HumanTaskUiSummaries' => 'An array of objects describing the human task user interfaces.
', ], ], 'HumanTaskUiSummary' => [ 'base' => 'Container for human task user interface information.
', 'refs' => [ 'HumanTaskUiSummaries$member' => NULL, ], ], 'HyperParameterAlgorithmSpecification' => [ 'base' => 'Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics to monitor.
', 'refs' => [ 'HyperParameterTrainingJobDefinition$AlgorithmSpecification' => 'The HyperParameterAlgorithmSpecification object that specifies the resource algorithm to use for the training jobs that the tuning job launches.
', ], ], 'HyperParameterKey' => [ 'base' => NULL, 'refs' => [ 'HyperParameters$key' => NULL, ], ], 'HyperParameterScalingType' => [ 'base' => NULL, 'refs' => [ 'ContinuousParameterRange$ScalingType' => 'The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have only values greater than 0.
Hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
Reverse logarithmic scaling works only for ranges that are entirely within the range 0<=x<1.0.
The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have only values greater than 0.
Defines a hyperparameter to be used by an algorithm.
', 'refs' => [ 'HyperParameterSpecifications$member' => NULL, ], ], 'HyperParameterSpecifications' => [ 'base' => NULL, 'refs' => [ 'TrainingSpecification$SupportedHyperParameters' => 'A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>
Defines the training jobs launched by a hyperparameter tuning job.
', 'refs' => [ 'CreateHyperParameterTuningJobRequest$TrainingJobDefinition' => 'The HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job launches, including static hyperparameters, input data configuration, output data configuration, resource configuration, and stopping condition.
', 'DescribeHyperParameterTuningJobResponse$TrainingJobDefinition' => 'The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.
', 'HyperParameterTrainingJobDefinitions$member' => NULL, 'HyperParameterTuningJobSearchEntity$TrainingJobDefinition' => NULL, ], ], 'HyperParameterTrainingJobDefinitionName' => [ 'base' => NULL, 'refs' => [ 'HyperParameterTrainingJobDefinition$DefinitionName' => 'The job definition name.
', 'HyperParameterTrainingJobSummary$TrainingJobDefinitionName' => 'The training job definition name.
', ], ], 'HyperParameterTrainingJobDefinitions' => [ 'base' => NULL, 'refs' => [ 'CreateHyperParameterTuningJobRequest$TrainingJobDefinitions' => 'A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
', 'DescribeHyperParameterTuningJobResponse$TrainingJobDefinitions' => 'A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
', 'HyperParameterTuningJobSearchEntity$TrainingJobDefinitions' => 'The job definitions included in a hyperparameter tuning job.
', ], ], 'HyperParameterTrainingJobEnvironmentKey' => [ 'base' => NULL, 'refs' => [ 'HyperParameterTrainingJobEnvironmentMap$key' => NULL, ], ], 'HyperParameterTrainingJobEnvironmentMap' => [ 'base' => NULL, 'refs' => [ 'HyperParameterTrainingJobDefinition$Environment' => 'An environment variable that you can pass into the SageMaker CreateTrainingJob API. You can use an existing environment variable from the training container or use your own. See Define metrics and variables for more information.
The maximum number of items specified for Map Entries refers to the maximum number of environment variables for each TrainingJobDefinition and also the maximum for the hyperparameter tuning job itself. That is, the sum of the number of environment variables for all the training job definitions can\'t exceed the maximum number specified.
A list of TrainingJobSummary objects that describe the training jobs that the ListTrainingJobsForHyperParameterTuningJob request returned.
The container for the summary information about a training job.
', 'refs' => [ 'DescribeHyperParameterTuningJobResponse$BestTrainingJob' => 'A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
', 'DescribeHyperParameterTuningJobResponse$OverallBestTrainingJob' => 'If the hyperparameter tuning job is an warm start tuning job with a WarmStartType of IDENTICAL_DATA_AND_ALGORITHM, this is the TrainingJobSummary for the training job with the best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for the warm start tuning job.
The strategy that determines the order of preference for resources specified in InstanceConfigs used in hyperparameter optimization.
The configuration for hyperparameter tuning resources for use in training jobs launched by the tuning job. These resources include compute instances and storage volumes. Specify one or more compute instance configurations and allocation strategies to select resources (optional).
', 'refs' => [ 'HyperParameterTuningInstanceConfigs$member' => NULL, ], ], 'HyperParameterTuningInstanceConfigs' => [ 'base' => NULL, 'refs' => [ 'HyperParameterTuningResourceConfig$InstanceConfigs' => 'A list containing the configuration(s) for one or more resources for processing hyperparameter jobs. These resources include compute instances and storage volumes to use in model training jobs launched by hyperparameter tuning jobs. The AllocationStrategy controls the order in which multiple configurations provided in InstanceConfigs are used.
If you only want to use a single instance configuration inside the HyperParameterTuningResourceConfig API, do not provide a value for InstanceConfigs. Instead, use InstanceType, VolumeSizeInGB and InstanceCount. If you use InstanceConfigs, do not provide values for InstanceType, VolumeSizeInGB or InstanceCount.
The Amazon Resource Name (ARN) of the tuning job. SageMaker assigns an ARN to a hyperparameter tuning job when you create it.
', 'DescribeHyperParameterTuningJobResponse$HyperParameterTuningJobArn' => 'The Amazon Resource Name (ARN) of the tuning job.
', 'DescribeTrainingJobResponse$TuningJobArn' => 'The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
', 'HyperParameterTuningJobSearchEntity$HyperParameterTuningJobArn' => 'The Amazon Resource Name (ARN) of a hyperparameter tuning job.
', 'HyperParameterTuningJobSummary$HyperParameterTuningJobArn' => 'The Amazon Resource Name (ARN) of the tuning job.
', 'TrainingJob$TuningJobArn' => 'The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
', 'TuningJobStepMetaData$Arn' => 'The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.
', ], ], 'HyperParameterTuningJobCompletionDetails' => [ 'base' => 'A structure that contains runtime information about both current and completed hyperparameter tuning jobs.
', 'refs' => [ 'DescribeHyperParameterTuningJobResponse$TuningJobCompletionDetails' => 'Tuning job completion information returned as the response from a hyperparameter tuning job. This information tells if your tuning job has or has not converged. It also includes the number of training jobs that have not improved model performance as evaluated against the objective function.
', 'HyperParameterTuningJobSearchEntity$TuningJobCompletionDetails' => 'Information about either a current or completed hyperparameter tuning job.
', ], ], 'HyperParameterTuningJobConfig' => [ 'base' => 'Configures a hyperparameter tuning job.
', 'refs' => [ 'CreateHyperParameterTuningJobRequest$HyperParameterTuningJobConfig' => 'The HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the tuning job. For more information, see How Hyperparameter Tuning Works.
', 'DescribeHyperParameterTuningJobResponse$HyperParameterTuningJobConfig' => 'The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
', 'HyperParameterTuningJobSearchEntity$HyperParameterTuningJobConfig' => NULL, ], ], 'HyperParameterTuningJobConsumedResources' => [ 'base' => 'The total resources consumed by your hyperparameter tuning job.
', 'refs' => [ 'DescribeHyperParameterTuningJobResponse$ConsumedResources' => NULL, 'HyperParameterTuningJobSearchEntity$ConsumedResources' => 'The total amount of resources consumed by a hyperparameter tuning job.
', ], ], 'HyperParameterTuningJobName' => [ 'base' => NULL, 'refs' => [ 'CreateHyperParameterTuningJobRequest$HyperParameterTuningJobName' => 'The name of the tuning job. This name is the prefix for the names of all training jobs that this tuning job launches. The name must be unique within the same Amazon Web Services account and Amazon Web Services Region. The name must have 1 to 32 characters. Valid characters are a-z, A-Z, 0-9, and : + = @ _ % - (hyphen). The name is not case sensitive.
', 'DeleteHyperParameterTuningJobRequest$HyperParameterTuningJobName' => 'The name of the hyperparameter tuning job that you want to delete.
', 'DescribeHyperParameterTuningJobRequest$HyperParameterTuningJobName' => 'The name of the tuning job.
', 'DescribeHyperParameterTuningJobResponse$HyperParameterTuningJobName' => 'The name of the hyperparameter tuning job.
', 'HyperParameterTrainingJobSummary$TuningJobName' => 'The HyperParameter tuning job that launched the training job.
', 'HyperParameterTuningJobSearchEntity$HyperParameterTuningJobName' => 'The name of a hyperparameter tuning job.
', 'HyperParameterTuningJobSummary$HyperParameterTuningJobName' => 'The name of the tuning job.
', 'ListTrainingJobsForHyperParameterTuningJobRequest$HyperParameterTuningJobName' => 'The name of the tuning job whose training jobs you want to list.
', 'ParentHyperParameterTuningJob$HyperParameterTuningJobName' => 'The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
', 'StopHyperParameterTuningJobRequest$HyperParameterTuningJobName' => 'The name of the tuning job to stop.
', ], ], 'HyperParameterTuningJobObjective' => [ 'base' => 'Defines the objective metric for a hyperparameter tuning job. Hyperparameter tuning uses the value of this metric to evaluate the training jobs it launches, and returns the training job that results in either the highest or lowest value for this metric, depending on the value you specify for the Type parameter. If you want to define a custom objective metric, see Define metrics and environment variables.
The HyperParameterTuningJobObjective specifies the objective metric used to evaluate the performance of training jobs launched by this tuning job.
', 'HyperParameterTuningJobObjectives$member' => NULL, ], ], 'HyperParameterTuningJobObjectiveType' => [ 'base' => NULL, 'refs' => [ 'FinalHyperParameterTuningJobObjectiveMetric$Type' => 'Select if you want to minimize or maximize the objective metric during hyperparameter tuning.
', 'HyperParameterTuningJobObjective$Type' => 'Whether to minimize or maximize the objective metric.
', ], ], 'HyperParameterTuningJobObjectives' => [ 'base' => NULL, 'refs' => [ 'TrainingSpecification$SupportedTuningJobObjectiveMetrics' => 'A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.
', ], ], 'HyperParameterTuningJobSearchEntity' => [ 'base' => 'An entity returned by the SearchRecord API containing the properties of a hyperparameter tuning job.
', 'refs' => [ 'SearchRecord$HyperParameterTuningJob' => 'The properties of a hyperparameter tuning job.
', ], ], 'HyperParameterTuningJobSortByOptions' => [ 'base' => NULL, 'refs' => [ 'ListHyperParameterTuningJobsRequest$SortBy' => 'The field to sort results by. The default is Name.
The status of the tuning job.
', 'HyperParameterTuningJobSearchEntity$HyperParameterTuningJobStatus' => 'The status of a hyperparameter tuning job.
', 'HyperParameterTuningJobSummary$HyperParameterTuningJobStatus' => 'The status of the tuning job.
', 'ListHyperParameterTuningJobsRequest$StatusEquals' => 'A filter that returns only tuning jobs with the specified status.
', ], ], 'HyperParameterTuningJobStrategyConfig' => [ 'base' => 'The configuration for a training job launched by a hyperparameter tuning job. Choose Bayesian for Bayesian optimization, and Random for random search optimization. For more advanced use cases, use Hyperband, which evaluates objective metrics for training jobs after every epoch. For more information about strategies, see How Hyperparameter Tuning Works.
The configuration for the Hyperband optimization strategy. This parameter should be provided only if Hyperband is selected as the strategy for HyperParameterTuningJobConfig.
The strategy hyperparameter tuning uses to find the best combination of hyperparameters for your model.
', 'refs' => [ 'HyperParameterTuningJobConfig$Strategy' => 'Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches. For information about search strategies, see How Hyperparameter Tuning Works.
', 'HyperParameterTuningJobSummary$Strategy' => 'Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to evaluate at each iteration.
', ], ], 'HyperParameterTuningJobSummaries' => [ 'base' => NULL, 'refs' => [ 'ListHyperParameterTuningJobsResponse$HyperParameterTuningJobSummaries' => 'A list of HyperParameterTuningJobSummary objects that describe the tuning jobs that the ListHyperParameterTuningJobs request returned.
Provides summary information about a hyperparameter tuning job.
', 'refs' => [ 'HyperParameterTuningJobSummaries$member' => NULL, ], ], 'HyperParameterTuningJobWarmStartConfig' => [ 'base' => 'Specifies the configuration for a hyperparameter tuning job that uses one or more previous hyperparameter tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric, and the training job that performs the best is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.
All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.
Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric. If you specify IDENTICAL_DATA_AND_ALGORITHM as the WarmStartType value for the warm start configuration, the training job that performs the best in the new tuning job is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.
All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
', 'HyperParameterTuningJobSearchEntity$WarmStartConfig' => NULL, ], ], 'HyperParameterTuningJobWarmStartType' => [ 'base' => NULL, 'refs' => [ 'HyperParameterTuningJobWarmStartConfig$WarmStartType' => 'Specifies one of the following:
The new hyperparameter tuning job uses the same input data and training image as the parent tuning jobs. You can change the hyperparameter ranges to search and the maximum number of training jobs that the hyperparameter tuning job launches. You cannot use a new version of the training algorithm, unless the changes in the new version do not affect the algorithm itself. For example, changes that improve logging or adding support for a different data format are allowed. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.
The new hyperparameter tuning job can include input data, hyperparameter ranges, maximum number of concurrent training jobs, and maximum number of training jobs that are different than those of its parent hyperparameter tuning jobs. The training image can also be a different version from the version used in the parent hyperparameter tuning job. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.
The maximum time in seconds that a hyperparameter tuning job can run.
', ], ], 'HyperParameterTuningResourceConfig' => [ 'base' => 'The configuration of resources, including compute instances and storage volumes for use in training jobs launched by hyperparameter tuning jobs. HyperParameterTuningResourceConfig is similar to ResourceConfig, but has the additional InstanceConfigs and AllocationStrategy fields to allow for flexible instance management. Specify one or more instance types, count, and the allocation strategy for instance selection.
HyperParameterTuningResourceConfig supports the capabilities of ResourceConfig with the exception of KeepAlivePeriodInSeconds. Hyperparameter tuning jobs use warm pools by default, which reuse clusters between training jobs.
The configuration for the hyperparameter tuning resources, including the compute instances and storage volumes, used for training jobs launched by the tuning job. By default, storage volumes hold model artifacts and incremental states. Choose File for TrainingInputMode in the AlgorithmSpecification parameter to additionally store training data in the storage volume (optional).
The default value for this hyperparameter. If a default value is specified, a hyperparameter cannot be required.
', 'HyperParameters$value' => NULL, ], ], 'HyperParameters' => [ 'base' => NULL, 'refs' => [ 'CreateTrainingJobRequest$HyperParameters' => 'Algorithm-specific parameters that influence the quality of the model. You set hyperparameters before you start the learning process. For a list of hyperparameters for each training algorithm provided by SageMaker, see Algorithms.
You can specify a maximum of 100 hyperparameters. Each hyperparameter is a key-value pair. Each key and value is limited to 256 characters, as specified by the Length Constraint.
Do not include any security-sensitive information including account access IDs, secrets or tokens in any hyperparameter field. If the use of security-sensitive credentials are detected, SageMaker will reject your training job request and return an exception error.
Algorithm-specific parameters.
', 'HyperParameterTrainingJobDefinition$StaticHyperParameters' => 'Specifies the values of hyperparameters that do not change for the tuning job.
', 'HyperParameterTrainingJobSummary$TunedHyperParameters' => 'A list of the hyperparameters for which you specified ranges to search.
', 'TrainingJob$HyperParameters' => 'Algorithm-specific parameters.
', 'TrainingJobDefinition$HyperParameters' => 'The hyperparameters used for the training job.
', ], ], 'HyperbandStrategyConfig' => [ 'base' => 'The configuration for Hyperband, a multi-fidelity based hyperparameter tuning strategy. Hyperband uses the final and intermediate results of a training job to dynamically allocate resources to utilized hyperparameter configurations while automatically stopping under-performing configurations. This parameter should be provided only if Hyperband is selected as the StrategyConfig under the HyperParameterTuningJobConfig API.
The configuration for the object that specifies the Hyperband strategy. This parameter is only supported for the Hyperband selection for Strategy within the HyperParameterTuningJobConfig API.
The maximum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job. Once a job reaches the MaxResource value, it is stopped. If a value for MaxResource is not provided, and Hyperband is selected as the hyperparameter tuning strategy, HyperbandTraining attempts to infer MaxResource from the following keys (if present) in StaticsHyperParameters:
epochs
numepochs
n-epochs
n_epochs
num_epochs
If HyperbandStrategyConfig is unable to infer a value for MaxResource, it generates a validation error. The maximum value is 20,000 epochs. All metrics that correspond to an objective metric are used to derive early stopping decisions. For distributed training jobs, ensure that duplicate metrics are not printed in the logs across the individual nodes in a training job. If multiple nodes are publishing duplicate or incorrect metrics, training jobs may make an incorrect stopping decision and stop the job prematurely.
The minimum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job. If the value for MinResource has not been reached, the training job is not stopped by Hyperband.
The IAM Identity details associated with the user. These details are associated with model package groups, model packages and project entities only.
', 'refs' => [ 'UserContext$IamIdentity' => 'The IAM Identity details associated with the user. These details are associated with model package groups, model packages, and project entities only.
', ], ], 'IamPolicyConstraints' => [ 'base' => 'Use this parameter to specify a supported global condition key that is added to the IAM policy.
', 'refs' => [ 'S3Presign$IamPolicyConstraints' => 'Use this parameter to specify the allowed request source. Possible sources are either SourceIp or VpcSourceIp.
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than one time.
', 'DeletePipelineRequest$ClientRequestToken' => 'A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than one time.
', 'RetryPipelineExecutionRequest$ClientRequestToken' => 'A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than once.
', 'SendPipelineExecutionStepFailureRequest$ClientRequestToken' => 'A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than one time.
', 'SendPipelineExecutionStepSuccessRequest$ClientRequestToken' => 'A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than one time.
', 'StartPipelineExecutionRequest$ClientRequestToken' => 'A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than once.
', 'StopPipelineExecutionRequest$ClientRequestToken' => 'A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than once.
', ], ], 'IdentityProviderOAuthSetting' => [ 'base' => 'The Amazon SageMaker Canvas application setting where you configure OAuth for connecting to an external data source, such as Snowflake.
', 'refs' => [ 'IdentityProviderOAuthSettings$member' => NULL, ], ], 'IdentityProviderOAuthSettings' => [ 'base' => NULL, 'refs' => [ 'CanvasAppSettings$IdentityProviderOAuthSettings' => 'The settings for connecting to an external data source with OAuth.
', ], ], 'IdleSettings' => [ 'base' => 'Settings related to idle shutdown of Studio applications.
', 'refs' => [ 'AppLifecycleManagement$IdleSettings' => 'Settings related to idle shutdown of Studio applications.
', ], ], 'IdleTimeoutInMinutes' => [ 'base' => NULL, 'refs' => [ 'IdleSettings$IdleTimeoutInMinutes' => 'The time that SageMaker waits after the application becomes idle before shutting it down.
', 'IdleSettings$MinIdleTimeoutInMinutes' => 'The minimum value in minutes that custom idle shutdown can be set to by the user.
', 'IdleSettings$MaxIdleTimeoutInMinutes' => 'The maximum value in minutes that custom idle shutdown can be set to by the user.
', 'SpaceIdleSettings$IdleTimeoutInMinutes' => 'The time that SageMaker waits after the application becomes idle before shutting it down.
', ], ], 'Image' => [ 'base' => 'A SageMaker AI image. A SageMaker AI image represents a set of container images that are derived from a common base container image. Each of these container images is represented by a SageMaker AI ImageVersion.
The ARN of the image.
', 'DescribeImageResponse$ImageArn' => 'The ARN of the image.
', 'DescribeImageVersionResponse$ImageArn' => 'The ARN of the image the version is based on.
', 'Image$ImageArn' => 'The ARN of the image.
', 'ImageVersion$ImageArn' => 'The ARN of the image the version is based on.
', 'ResourceSpec$SageMakerImageArn' => 'The ARN of the SageMaker AI image that the image version belongs to.
', 'UpdateImageResponse$ImageArn' => 'The ARN of the image.
', ], ], 'ImageBaseImage' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionRequest$BaseImage' => 'The registry path of the container image to use as the starting point for this version. The path is an Amazon ECR URI in the following format:
<acct-id>.dkr.ecr.<region>.amazonaws.com/<repo-name[:tag] or [@digest]>
The registry path of the container image on which this image version is based.
', ], ], 'ImageClassificationJobConfig' => [ 'base' => 'The collection of settings used by an AutoML job V2 for the image classification problem type.
', 'refs' => [ 'AutoMLProblemTypeConfig$ImageClassificationJobConfig' => 'Settings used to configure an AutoML job V2 for the image classification problem type.
', ], ], 'ImageConfig' => [ 'base' => 'Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC).
', 'refs' => [ 'ContainerDefinition$ImageConfig' => 'Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For information about storing containers in a private Docker registry, see Use a Private Docker Registry for Real-Time Inference Containers.
The model artifacts in an Amazon S3 bucket and the Docker image for inference container in Amazon EC2 Container Registry must be in the same region as the model or endpoint you are creating.
The registry path of the container image that contains this image version.
', ], ], 'ImageDeleteProperty' => [ 'base' => NULL, 'refs' => [ 'ImageDeletePropertyList$member' => NULL, ], ], 'ImageDeletePropertyList' => [ 'base' => NULL, 'refs' => [ 'UpdateImageRequest$DeleteProperties' => 'A list of properties to delete. Only the Description and DisplayName properties can be deleted.
The description of the image.
', 'DescribeImageResponse$Description' => 'The description of the image.
', 'Image$Description' => 'The description of the image.
', 'UpdateImageRequest$Description' => 'The new description for the image.
', ], ], 'ImageDigest' => [ 'base' => NULL, 'refs' => [ 'ModelPackageContainerDefinition$ImageDigest' => 'An MD5 hash of the training algorithm that identifies the Docker image used for training.
', 'TrainingSpecification$TrainingImageDigest' => 'An MD5 hash of the training algorithm that identifies the Docker image used for training.
', ], ], 'ImageDisplayName' => [ 'base' => NULL, 'refs' => [ 'CreateImageRequest$DisplayName' => 'The display name of the image. If not provided, ImageName is displayed.
The name of the image as displayed.
', 'Image$DisplayName' => 'The name of the image as displayed.
', 'UpdateImageRequest$DisplayName' => 'The new display name for the image.
', ], ], 'ImageName' => [ 'base' => NULL, 'refs' => [ 'CreateImageRequest$ImageName' => 'The name of the image. Must be unique to your account.
', 'CreateImageVersionRequest$ImageName' => 'The ImageName of the Image to create a version of.
The name of the CustomImage. Must be unique to your account.
', 'DeleteImageRequest$ImageName' => 'The name of the image to delete.
', 'DeleteImageVersionRequest$ImageName' => 'The name of the image to delete.
', 'DescribeImageRequest$ImageName' => 'The name of the image to describe.
', 'DescribeImageResponse$ImageName' => 'The name of the image.
', 'DescribeImageVersionRequest$ImageName' => 'The name of the image.
', 'Image$ImageName' => 'The name of the image.
', 'ListAliasesRequest$ImageName' => 'The name of the image.
', 'ListImageVersionsRequest$ImageName' => 'The name of the image to list the versions of.
', 'UpdateImageRequest$ImageName' => 'The name of the image to update.
', 'UpdateImageVersionRequest$ImageName' => 'The name of the image.
', ], ], 'ImageNameContains' => [ 'base' => NULL, 'refs' => [ 'ListImagesRequest$NameContains' => 'A filter that returns only images whose name contains the specified string.
', ], ], 'ImageSortBy' => [ 'base' => NULL, 'refs' => [ 'ListImagesRequest$SortBy' => 'The property used to sort results. The default value is CREATION_TIME.
The sort order. The default value is DESCENDING.
The status of the image.
', 'Image$ImageStatus' => 'The status of the image.
', ], ], 'ImageUri' => [ 'base' => NULL, 'refs' => [ 'AppSpecification$ImageUri' => 'The container image to be run by the processing job.
', 'DataQualityAppSpecification$ImageUri' => 'The container image that the data quality monitoring job runs.
', 'ModelBiasAppSpecification$ImageUri' => 'The container image to be run by the model bias job.
', 'ModelExplainabilityAppSpecification$ImageUri' => 'The container image to be run by the model explainability job.
', 'ModelQualityAppSpecification$ImageUri' => 'The address of the container image that the monitoring job runs.
', 'MonitoringAppSpecification$ImageUri' => 'The container image to be run by the monitoring job.
', ], ], 'ImageVersion' => [ 'base' => 'A version of a SageMaker AI Image. A version represents an existing container image.
The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.
', ], ], 'ImageVersionAliasPattern' => [ 'base' => NULL, 'refs' => [ 'VersionAliasesList$member' => NULL, ], ], 'ImageVersionArn' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionResponse$ImageVersionArn' => 'The ARN of the image version.
', 'DescribeImageVersionResponse$ImageVersionArn' => 'The ARN of the version.
', 'ImageVersion$ImageVersionArn' => 'The ARN of the version.
', 'ResourceSpec$SageMakerImageVersionArn' => 'The ARN of the image version created on the instance.
', 'UpdateImageVersionResponse$ImageVersionArn' => 'The ARN of the image version.
', ], ], 'ImageVersionNumber' => [ 'base' => NULL, 'refs' => [ 'CustomImage$ImageVersionNumber' => 'The version number of the CustomImage.
', 'DeleteImageVersionRequest$Version' => 'The version to delete.
', 'DescribeImageVersionRequest$Version' => 'The version of the image. If not specified, the latest version is described.
', 'DescribeImageVersionResponse$Version' => 'The version number.
', 'ImageVersion$Version' => 'The version number.
', 'ListAliasesRequest$Version' => 'The version of the image. If image version is not specified, the aliases of all versions of the image are listed.
', 'UpdateImageVersionRequest$Version' => 'The version of the image.
', ], ], 'ImageVersionSortBy' => [ 'base' => NULL, 'refs' => [ 'ListImageVersionsRequest$SortBy' => 'The property used to sort results. The default value is CREATION_TIME.
The sort order. The default value is DESCENDING.
The status of the version.
', 'ImageVersion$ImageVersionStatus' => 'The status of the version.
', ], ], 'ImageVersions' => [ 'base' => NULL, 'refs' => [ 'ListImageVersionsResponse$ImageVersions' => 'A list of versions and their properties.
', ], ], 'Images' => [ 'base' => NULL, 'refs' => [ 'ListImagesResponse$Images' => 'A list of images and their properties.
', ], ], 'ImportHubContentRequest' => [ 'base' => NULL, 'refs' => [], ], 'ImportHubContentResponse' => [ 'base' => NULL, 'refs' => [], ], 'InUseInstanceCount' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingPlanResponse$InUseInstanceCount' => 'The number of instances currently in use from this training plan.
', 'TrainingPlanSummary$InUseInstanceCount' => 'The number of instances currently in use from this training plan.
', ], ], 'InferenceComponentArn' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceComponentOutput$InferenceComponentArn' => 'The Amazon Resource Name (ARN) of the inference component.
', 'DescribeInferenceComponentOutput$InferenceComponentArn' => 'The Amazon Resource Name (ARN) of the inference component.
', 'InferenceComponentSummary$InferenceComponentArn' => 'The Amazon Resource Name (ARN) of the inference component.
', 'UpdateInferenceComponentOutput$InferenceComponentArn' => 'The Amazon Resource Name (ARN) of the inference component.
', 'UpdateInferenceComponentRuntimeConfigOutput$InferenceComponentArn' => 'The Amazon Resource Name (ARN) of the inference component.
', ], ], 'InferenceComponentComputeResourceRequirements' => [ 'base' => 'Defines the compute resources to allocate to run a model, plus any adapter models, that you assign to an inference component. These resources include CPU cores, accelerators, and memory.
', 'refs' => [ 'InferenceComponentSpecification$ComputeResourceRequirements' => 'The compute resources allocated to run the model, plus any adapter models, that you assign to the inference component.
Omit this parameter if your request is meant to create an adapter inference component. An adapter inference component is loaded by a base inference component, and it uses the compute resources of the base inference component.
', 'InferenceComponentSpecificationSummary$ComputeResourceRequirements' => 'The compute resources allocated to run the model, plus any adapter models, that you assign to the inference component.
', ], ], 'InferenceComponentContainerSpecification' => [ 'base' => 'Defines a container that provides the runtime environment for a model that you deploy with an inference component.
', 'refs' => [ 'InferenceComponentSpecification$Container' => 'Defines a container that provides the runtime environment for a model that you deploy with an inference component.
', ], ], 'InferenceComponentContainerSpecificationSummary' => [ 'base' => 'Details about the resources that are deployed with this inference component.
', 'refs' => [ 'InferenceComponentSpecificationSummary$Container' => 'Details about the container that provides the runtime environment for the model that is deployed with the inference component.
', ], ], 'InferenceComponentCopyCount' => [ 'base' => NULL, 'refs' => [ 'InferenceComponentRuntimeConfig$CopyCount' => 'The number of runtime copies of the model container to deploy with the inference component. Each copy can serve inference requests.
', 'InferenceComponentRuntimeConfigSummary$DesiredCopyCount' => 'The number of runtime copies of the model container that you requested to deploy with the inference component.
', 'InferenceComponentRuntimeConfigSummary$CurrentCopyCount' => 'The number of runtime copies of the model container that are currently deployed.
', ], ], 'InferenceComponentName' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceComponentInput$InferenceComponentName' => 'A unique name to assign to the inference component.
', 'DeleteInferenceComponentInput$InferenceComponentName' => 'The name of the inference component to delete.
', 'DescribeInferenceComponentInput$InferenceComponentName' => 'The name of the inference component.
', 'DescribeInferenceComponentOutput$InferenceComponentName' => 'The name of the inference component.
', 'InferenceComponentSpecification$BaseInferenceComponentName' => 'The name of an existing inference component that is to contain the inference component that you\'re creating with your request.
Specify this parameter only if your request is meant to create an adapter inference component. An adapter inference component contains the path to an adapter model. The purpose of the adapter model is to tailor the inference output of a base foundation model, which is hosted by the base inference component. The adapter inference component uses the compute resources that you assigned to the base inference component.
When you create an adapter inference component, use the Container parameter to specify the location of the adapter artifacts. In the parameter value, use the ArtifactUrl parameter of the InferenceComponentContainerSpecification data type.
Before you can create an adapter inference component, you must have an existing inference component that contains the foundation model that you want to adapt.
', 'InferenceComponentSpecificationSummary$BaseInferenceComponentName' => 'The name of the base inference component that contains this inference component.
', 'InferenceComponentSummary$InferenceComponentName' => 'The name of the inference component.
', 'UpdateInferenceComponentInput$InferenceComponentName' => 'The name of the inference component.
', 'UpdateInferenceComponentRuntimeConfigInput$InferenceComponentName' => 'The name of the inference component to update.
', ], ], 'InferenceComponentNameContains' => [ 'base' => NULL, 'refs' => [ 'ListInferenceComponentsInput$NameContains' => 'Filters the results to only those inference components with a name that contains the specified string.
', ], ], 'InferenceComponentRuntimeConfig' => [ 'base' => 'Runtime settings for a model that is deployed with an inference component.
', 'refs' => [ 'CreateInferenceComponentInput$RuntimeConfig' => 'Runtime settings for a model that is deployed with an inference component.
', 'UpdateInferenceComponentInput$RuntimeConfig' => 'Runtime settings for a model that is deployed with an inference component.
', 'UpdateInferenceComponentRuntimeConfigInput$DesiredRuntimeConfig' => 'Runtime settings for a model that is deployed with an inference component.
', ], ], 'InferenceComponentRuntimeConfigSummary' => [ 'base' => 'Details about the runtime settings for the model that is deployed with the inference component.
', 'refs' => [ 'DescribeInferenceComponentOutput$RuntimeConfig' => 'Details about the runtime settings for the model that is deployed with the inference component.
', ], ], 'InferenceComponentSortKey' => [ 'base' => NULL, 'refs' => [ 'ListInferenceComponentsInput$SortBy' => 'The field by which to sort the inference components in the response. The default is CreationTime.
Details about the resources to deploy with this inference component, including the model, container, and compute resources.
', 'refs' => [ 'CreateInferenceComponentInput$Specification' => 'Details about the resources to deploy with this inference component, including the model, container, and compute resources.
', 'UpdateInferenceComponentInput$Specification' => 'Details about the resources to deploy with this inference component, including the model, container, and compute resources.
', ], ], 'InferenceComponentSpecificationSummary' => [ 'base' => 'Details about the resources that are deployed with this inference component.
', 'refs' => [ 'DescribeInferenceComponentOutput$Specification' => 'Details about the resources that are deployed with this inference component.
', ], ], 'InferenceComponentStartupParameters' => [ 'base' => 'Settings that take effect while the model container starts up.
', 'refs' => [ 'InferenceComponentSpecification$StartupParameters' => 'Settings that take effect while the model container starts up.
', 'InferenceComponentSpecificationSummary$StartupParameters' => 'Settings that take effect while the model container starts up.
', ], ], 'InferenceComponentStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeInferenceComponentOutput$InferenceComponentStatus' => 'The status of the inference component.
', 'InferenceComponentSummary$InferenceComponentStatus' => 'The status of the inference component.
', 'ListInferenceComponentsInput$StatusEquals' => 'Filters the results to only those inference components with the specified status.
', ], ], 'InferenceComponentSummary' => [ 'base' => 'A summary of the properties of an inference component.
', 'refs' => [ 'InferenceComponentSummaryList$member' => NULL, ], ], 'InferenceComponentSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListInferenceComponentsOutput$InferenceComponents' => 'A list of inference components and their properties that matches any of the filters you specified in the request.
', ], ], 'InferenceExecutionConfig' => [ 'base' => 'Specifies details about how containers in a multi-container endpoint are run.
', 'refs' => [ 'CreateModelInput$InferenceExecutionConfig' => 'Specifies details of how containers in a multi-container endpoint are called.
', 'DescribeModelOutput$InferenceExecutionConfig' => 'Specifies details of how containers in a multi-container endpoint are called.
', 'Model$InferenceExecutionConfig' => NULL, ], ], 'InferenceExecutionMode' => [ 'base' => NULL, 'refs' => [ 'InferenceExecutionConfig$Mode' => 'How containers in a multi-container are run. The following values are valid.
SERIAL - Containers run as a serial pipeline.
DIRECT - Only the individual container that you specify is run.
The ARN for your inference experiment.
', 'DeleteInferenceExperimentResponse$InferenceExperimentArn' => 'The ARN of the deleted inference experiment.
', 'DescribeInferenceExperimentResponse$Arn' => 'The ARN of the inference experiment being described.
', 'StartInferenceExperimentResponse$InferenceExperimentArn' => 'The ARN of the started inference experiment to start.
', 'StopInferenceExperimentResponse$InferenceExperimentArn' => 'The ARN of the stopped inference experiment.
', 'UpdateInferenceExperimentResponse$InferenceExperimentArn' => 'The ARN of the updated inference experiment.
', ], ], 'InferenceExperimentDataStorageConfig' => [ 'base' => 'The Amazon S3 location and configuration for storing inference request and response data.
', 'refs' => [ 'CreateInferenceExperimentRequest$DataStorageConfig' => 'The Amazon S3 location and configuration for storing inference request and response data.
This is an optional parameter that you can use for data capture. For more information, see Capture data.
', 'DescribeInferenceExperimentResponse$DataStorageConfig' => 'The Amazon S3 location and configuration for storing inference request and response data.
', 'UpdateInferenceExperimentRequest$DataStorageConfig' => 'The Amazon S3 location and configuration for storing inference request and response data.
', ], ], 'InferenceExperimentDescription' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceExperimentRequest$Description' => 'A description for the inference experiment.
', 'DescribeInferenceExperimentResponse$Description' => 'The description of the inference experiment.
', 'InferenceExperimentSummary$Description' => 'The description of the inference experiment.
', 'UpdateInferenceExperimentRequest$Description' => 'The description of the inference experiment.
', ], ], 'InferenceExperimentList' => [ 'base' => NULL, 'refs' => [ 'ListInferenceExperimentsResponse$InferenceExperiments' => 'List of inference experiments.
', ], ], 'InferenceExperimentName' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceExperimentRequest$Name' => 'The name for the inference experiment.
', 'DeleteInferenceExperimentRequest$Name' => 'The name of the inference experiment you want to delete.
', 'DescribeInferenceExperimentRequest$Name' => 'The name of the inference experiment to describe.
', 'DescribeInferenceExperimentResponse$Name' => 'The name of the inference experiment.
', 'InferenceExperimentSummary$Name' => 'The name of the inference experiment.
', 'StartInferenceExperimentRequest$Name' => 'The name of the inference experiment to start.
', 'StopInferenceExperimentRequest$Name' => 'The name of the inference experiment to stop.
', 'UpdateInferenceExperimentRequest$Name' => 'The name of the inference experiment to be updated.
', ], ], 'InferenceExperimentSchedule' => [ 'base' => 'The start and end times of an inference experiment.
The maximum duration that you can set for an inference experiment is 30 days.
', 'refs' => [ 'CreateInferenceExperimentRequest$Schedule' => 'The duration for which you want the inference experiment to run. If you don\'t specify this field, the experiment automatically starts immediately upon creation and concludes after 7 days.
', 'DescribeInferenceExperimentResponse$Schedule' => 'The duration for which the inference experiment ran or will run.
', 'InferenceExperimentSummary$Schedule' => 'The duration for which the inference experiment ran or will run.
The maximum duration that you can set for an inference experiment is 30 days.
', 'UpdateInferenceExperimentRequest$Schedule' => ' The duration for which the inference experiment will run. If the status of the inference experiment is Created, then you can update both the start and end dates. If the status of the inference experiment is Running, then you can update only the end date.
The status of the inference experiment. The following are the possible statuses for an inference experiment:
Creating - Amazon SageMaker is creating your experiment.
Created - Amazon SageMaker has finished the creation of your experiment and will begin the experiment at the scheduled time.
Updating - When you make changes to your experiment, your experiment shows as updating.
Starting - Amazon SageMaker is beginning your experiment.
Running - Your experiment is in progress.
Stopping - Amazon SageMaker is stopping your experiment.
Completed - Your experiment has completed.
Cancelled - When you conclude your experiment early using the StopInferenceExperiment API, or if any operation fails with an unexpected error, it shows as cancelled.
The status of the inference experiment.
', 'ListInferenceExperimentsRequest$StatusEquals' => 'Selects inference experiments which are in this status. For the possible statuses, see DescribeInferenceExperiment.
', ], ], 'InferenceExperimentStatusReason' => [ 'base' => NULL, 'refs' => [ 'DescribeInferenceExperimentResponse$StatusReason' => ' The error message or client-specified Reason from the StopInferenceExperiment API, that explains the status of the inference experiment.
The error message for the inference experiment status result.
', 'StopInferenceExperimentRequest$Reason' => 'The reason for stopping the experiment.
', ], ], 'InferenceExperimentStopDesiredState' => [ 'base' => NULL, 'refs' => [ 'StopInferenceExperimentRequest$DesiredState' => 'The desired state of the experiment after stopping. The possible states are the following:
Completed: The experiment completed successfully
Cancelled: The experiment was canceled
Lists a summary of properties of an inference experiment.
', 'refs' => [ 'InferenceExperimentList$member' => NULL, ], ], 'InferenceExperimentType' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceExperimentRequest$Type' => 'The type of the inference experiment that you want to run. The following types of experiments are possible:
ShadowMode: You can use this type to validate a shadow variant. For more information, see Shadow tests.
The type of the inference experiment.
', 'InferenceExperimentSummary$Type' => 'The type of the inference experiment.
', 'ListInferenceExperimentsRequest$Type' => 'Selects inference experiments of this type. For the possible types of inference experiments, see CreateInferenceExperiment.
', ], ], 'InferenceHubAccessConfig' => [ 'base' => 'Configuration information specifying which hub contents have accessible deployment options.
', 'refs' => [ 'S3ModelDataSource$HubAccessConfig' => 'Configuration information for hub access.
', ], ], 'InferenceImage' => [ 'base' => NULL, 'refs' => [ 'DescribeCompilationJobResponse$InferenceImage' => 'The inference image to use when compiling a model. Specify an image only if the target device is a cloud instance.
', ], ], 'InferenceMetrics' => [ 'base' => 'The metrics for an existing endpoint compared in an Inference Recommender job.
', 'refs' => [ 'EndpointPerformance$Metrics' => 'The metrics for an existing endpoint.
', 'RecommendationJobInferenceBenchmark$EndpointMetrics' => NULL, ], ], 'InferenceRecommendation' => [ 'base' => 'A list of recommendations made by Amazon SageMaker Inference Recommender.
', 'refs' => [ 'InferenceRecommendations$member' => NULL, ], ], 'InferenceRecommendations' => [ 'base' => NULL, 'refs' => [ 'DescribeInferenceRecommendationsJobResponse$InferenceRecommendations' => 'The recommendations made by Inference Recommender.
', ], ], 'InferenceRecommendationsJob' => [ 'base' => 'A structure that contains a list of recommendation jobs.
', 'refs' => [ 'InferenceRecommendationsJobs$member' => NULL, ], ], 'InferenceRecommendationsJobStep' => [ 'base' => 'A returned array object for the Steps response field in the ListInferenceRecommendationsJobSteps API command.
A list of all subtask details in Inference Recommender.
', ], ], 'InferenceRecommendationsJobs' => [ 'base' => NULL, 'refs' => [ 'ListInferenceRecommendationsJobsResponse$InferenceRecommendationsJobs' => 'The recommendations created from the Amazon SageMaker Inference Recommender job.
', ], ], 'InferenceSpecification' => [ 'base' => 'Defines how to perform inference generation after a training job is run.
', 'refs' => [ 'BatchDescribeModelPackageSummary$InferenceSpecification' => NULL, 'CreateAlgorithmInput$InferenceSpecification' => 'Specifies details about inference jobs that the algorithm runs, including the following:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the algorithm supports for inference.
Specifies details about inference jobs that you can run with models based on this model package, including the following information:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the model package supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the model package supports for inference.
Details about inference jobs that the algorithm runs.
', 'DescribeModelPackageOutput$InferenceSpecification' => 'Details about inference jobs that you can run with models based on this model package.
', 'ModelPackage$InferenceSpecification' => 'Defines how to perform inference generation after a training job is run.
', 'UpdateModelPackageInput$InferenceSpecification' => 'Specifies details about inference jobs that you can run with models based on this model package, including the following information:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the model package supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the model package supports for inference.
The inference specification name in the model package version.
', 'EndpointInputConfiguration$InferenceSpecificationName' => 'The inference specification name in the model package version.
', 'ModelConfiguration$InferenceSpecificationName' => 'The inference specification name in the model package version.
', ], ], 'InfraCheckConfig' => [ 'base' => 'Configuration information for the infrastructure health check of a training job. A SageMaker-provided health check tests the health of instance hardware and cluster network connectivity.
', 'refs' => [ 'CreateTrainingJobRequest$InfraCheckConfig' => 'Contains information about the infrastructure health check configuration for the training job.
', 'DescribeTrainingJobResponse$InfraCheckConfig' => 'Contains information about the infrastructure health check configuration for the training job.
', ], ], 'InitialInstanceCount' => [ 'base' => NULL, 'refs' => [ 'EndpointOutputConfiguration$InitialInstanceCount' => 'The number of instances recommended to launch initially.
', ], ], 'InitialNumberOfUsers' => [ 'base' => NULL, 'refs' => [ 'Phase$InitialNumberOfUsers' => 'Specifies how many concurrent users to start with. The value should be between 1 and 3.
', ], ], 'InitialTaskCount' => [ 'base' => NULL, 'refs' => [ 'ProductionVariant$InitialInstanceCount' => 'Number of instances to launch initially.
', ], ], 'InputConfig' => [ 'base' => 'Contains information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.
', 'refs' => [ 'CreateCompilationJobRequest$InputConfig' => 'Provides information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.
', 'DescribeCompilationJobResponse$InputConfig' => 'Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.
', ], ], 'InputDataConfig' => [ 'base' => NULL, 'refs' => [ 'CreateTrainingJobRequest$InputDataConfig' => 'An array of Channel objects. Each channel is a named input source. InputDataConfig describes the input data and its location.
Algorithms can accept input data from one or more channels. For example, an algorithm might have two channels of input data, training_data and validation_data. The configuration for each channel provides the S3, EFS, or FSx location where the input data is stored. It also provides information about the stored data: the MIME type, compression method, and whether the data is wrapped in RecordIO format.
Depending on the input mode that the algorithm supports, SageMaker either copies input data files from an S3 bucket to a local directory in the Docker container, or makes it available as input streams. For example, if you specify an EFS location, input data files are available as input streams. They do not need to be downloaded.
Your input must be in the same Amazon Web Services region as your training job.
', 'DescribeTrainingJobResponse$InputDataConfig' => 'An array of Channel objects that describes each data input channel.
An array of Channel objects that specify the input for the training jobs that the tuning job launches.
', 'TrainingJob$InputDataConfig' => 'An array of Channel objects that describes each data input channel.
Your input must be in the same Amazon Web Services region as your training job.
', 'TrainingJobDefinition$InputDataConfig' => 'An array of Channel objects, each of which specifies an input source.
Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
The allowed input mode, either FILE or PIPE.
In FILE mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode.
In PIPE mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
', ], ], 'InstanceCount' => [ 'base' => NULL, 'refs' => [ 'ComputeQuotaResourceConfig$Count' => 'The number of instances to add to the instance group of a SageMaker HyperPod cluster.
', ], ], 'InstanceGroup' => [ 'base' => 'Defines an instance group for heterogeneous cluster training. When requesting a training job using the CreateTrainingJob API, you can configure multiple instance groups .
', 'refs' => [ 'InstanceGroups$member' => NULL, ], ], 'InstanceGroupName' => [ 'base' => NULL, 'refs' => [ 'InstanceGroup$InstanceGroupName' => 'Specifies the name of the instance group.
', 'InstanceGroupNames$member' => NULL, ], ], 'InstanceGroupNames' => [ 'base' => NULL, 'refs' => [ 'S3DataSource$InstanceGroupNames' => 'A list of names of instance groups that get data from the S3 data source.
', ], ], 'InstanceGroupStatus' => [ 'base' => NULL, 'refs' => [ 'ClusterInstanceGroupDetails$Status' => 'The current status of the cluster instance group.
InService: The instance group is active and healthy.
Creating: The instance group is being provisioned.
Updating: The instance group is being updated.
Failed: The instance group has failed to provision or is no longer healthy.
Degraded: The instance group is degraded, meaning that some instances have failed to provision or are no longer healthy.
Deleting: The instance group is being deleted.
The current status of the training plan associated with this cluster instance group.
', ], ], 'InstanceGroups' => [ 'base' => NULL, 'refs' => [ 'ResourceConfig$InstanceGroups' => 'The configuration of a heterogeneous cluster in JSON format.
', ], ], 'InstanceMetadataServiceConfiguration' => [ 'base' => 'Information on the IMDS configuration of the notebook instance
', 'refs' => [ 'CreateNotebookInstanceInput$InstanceMetadataServiceConfiguration' => 'Information on the IMDS configuration of the notebook instance
', 'DescribeNotebookInstanceOutput$InstanceMetadataServiceConfiguration' => 'Information on the IMDS configuration of the notebook instance
', 'UpdateNotebookInstanceInput$InstanceMetadataServiceConfiguration' => 'Information on the IMDS configuration of the notebook instance
', ], ], 'InstanceType' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceInput$InstanceType' => 'The type of ML compute instance to launch for the notebook instance.
', 'DescribeNotebookInstanceOutput$InstanceType' => 'The type of ML compute instance running on the notebook instance.
', 'NotebookInstanceSummary$InstanceType' => 'The type of ML compute instance that the notebook instance is running on.
', 'RealTimeInferenceConfig$InstanceType' => 'The instance type the model is deployed to.
', 'UpdateNotebookInstanceInput$InstanceType' => 'The Amazon ML compute instance type.
', ], ], 'Integer' => [ 'base' => NULL, 'refs' => [ 'ClusterSchedulerConfigSummary$ClusterSchedulerConfigVersion' => 'Version of the cluster policy.
', 'ComputeQuotaSummary$ComputeQuotaVersion' => 'Version of the compute allocation definition.
', 'CreateModelCardExportJobRequest$ModelCardVersion' => 'The version of the model card to export. If a version is not provided, then the latest version of the model card is exported.
', 'DescribeClusterSchedulerConfigRequest$ClusterSchedulerConfigVersion' => 'Version of the cluster policy.
', 'DescribeClusterSchedulerConfigResponse$ClusterSchedulerConfigVersion' => 'Version of the cluster policy.
', 'DescribeComputeQuotaRequest$ComputeQuotaVersion' => 'Version of the compute allocation definition.
', 'DescribeComputeQuotaResponse$ComputeQuotaVersion' => 'Version of the compute allocation definition.
', 'DescribeDeviceResponse$MaxModels' => 'The maximum number of models.
', 'DescribeEdgeDeploymentPlanResponse$EdgeDeploymentSuccess' => 'The number of edge devices with the successful deployment.
', 'DescribeEdgeDeploymentPlanResponse$EdgeDeploymentPending' => 'The number of edge devices yet to pick up deployment, or in progress.
', 'DescribeEdgeDeploymentPlanResponse$EdgeDeploymentFailed' => 'The number of edge devices that failed the deployment.
', 'DescribeModelCardExportJobResponse$ModelCardVersion' => 'The version of the model card that the model export job exports.
', 'DescribeModelCardRequest$ModelCardVersion' => 'The version of the model card to describe. If a version is not provided, then the latest version of the model card is described.
', 'DescribeModelCardResponse$ModelCardVersion' => 'The version of the model card.
', 'DynamicScalingConfiguration$MinCapacity' => 'The recommended minimum capacity to specify for your autoscaling policy.
', 'DynamicScalingConfiguration$MaxCapacity' => 'The recommended maximum capacity to specify for your autoscaling policy.
', 'DynamicScalingConfiguration$ScaleInCooldown' => 'The recommended scale in cooldown time for your autoscaling policy.
', 'DynamicScalingConfiguration$ScaleOutCooldown' => 'The recommended scale out cooldown time for your autoscaling policy.
', 'EdgeDeploymentPlanSummary$EdgeDeploymentSuccess' => 'The number of edge devices with the successful deployment.
', 'EdgeDeploymentPlanSummary$EdgeDeploymentPending' => 'The number of edge devices yet to pick up the deployment, or in progress.
', 'EdgeDeploymentPlanSummary$EdgeDeploymentFailed' => 'The number of edge devices that failed the deployment.
', 'EdgeDeploymentStatus$EdgeDeploymentSuccessInStage' => 'The number of edge devices with the successful deployment in the current stage.
', 'EdgeDeploymentStatus$EdgeDeploymentPendingInStage' => 'The number of edge devices yet to pick up the deployment in current stage, or in progress.
', 'EdgeDeploymentStatus$EdgeDeploymentFailedInStage' => 'The number of edge devices that failed the deployment in current stage.
', 'HyperParameterTuningJobCompletionDetails$NumberOfTrainingJobsObjectiveNotImproving' => 'The number of training jobs launched by a tuning job that are not improving (1% or less) as measured by model performance evaluated against an objective function.
', 'HyperParameterTuningJobConsumedResources$RuntimeInSeconds' => 'The wall clock runtime in seconds used by your hyperparameter tuning job.
', 'InferenceMetrics$MaxInvocations' => 'The expected maximum number of requests per minute for the instance.
', 'InferenceMetrics$ModelLatency' => 'The expected model latency at maximum invocations per minute for the instance.
', 'ListModelCardExportJobsRequest$ModelCardVersion' => 'List export jobs for the model card with the specified version.
', 'ModelCard$ModelCardVersion' => 'The version of the model card.
', 'ModelCardExportJobSummary$ModelCardVersion' => 'The version of the model card that the export job exports.
', 'ModelCardVersionSummary$ModelCardVersion' => 'A version of the model card.
', 'ModelDashboardModelCard$ModelCardVersion' => 'The model card version.
', 'ModelLatencyThreshold$ValueInMilliseconds' => 'The model latency percentile value in milliseconds.
', 'PipelineExecutionStep$AttemptCount' => 'The current attempt of the execution step. For more information, see Retry Policy for SageMaker Pipelines steps.
', 'RecommendationJobStoppingConditions$MaxInvocations' => 'The maximum number of requests per minute expected for the endpoint.
', 'RecommendationMetrics$MaxInvocations' => 'The expected maximum number of requests per minute for the instance.
', 'RecommendationMetrics$ModelLatency' => 'The expected model latency at maximum invocation per minute for the instance.
', 'ScalingPolicyMetric$InvocationsPerInstance' => 'The number of invocations sent to a model, normalized by InstanceCount in each ProductionVariant. 1/numberOfInstances is sent as the value on each request, where numberOfInstances is the number of active instances for the ProductionVariant behind the endpoint at the time of the request.
The interval of time taken by a model to respond as viewed from SageMaker. This interval includes the local communication times taken to send the request and to fetch the response from the container of a model and the time taken to complete the inference in the container.
', 'ScalingPolicyObjective$MinInvocationsPerMinute' => 'The minimum number of expected requests to your endpoint per minute.
', 'ScalingPolicyObjective$MaxInvocationsPerMinute' => 'The maximum number of expected requests to your endpoint per minute.
', 'UpdateClusterSchedulerConfigRequest$TargetVersion' => 'Target version.
', 'UpdateClusterSchedulerConfigResponse$ClusterSchedulerConfigVersion' => 'Version of the cluster policy.
', 'UpdateComputeQuotaRequest$TargetVersion' => 'Target version.
', 'UpdateComputeQuotaResponse$ComputeQuotaVersion' => 'Version of the compute allocation definition.
', ], ], 'IntegerParameterRange' => [ 'base' => 'For a hyperparameter of the integer type, specifies the range that a hyperparameter tuning job searches.
', 'refs' => [ 'IntegerParameterRanges$member' => NULL, ], ], 'IntegerParameterRangeSpecification' => [ 'base' => 'Defines the possible values for an integer hyperparameter.
', 'refs' => [ 'ParameterRange$IntegerParameterRangeSpecification' => 'A IntegerParameterRangeSpecification object that defines the possible values for an integer hyperparameter.
The array of IntegerParameterRange objects that specify ranges of integer hyperparameters that a hyperparameter tuning job searches.
', ], ], 'InvocationEndTime' => [ 'base' => NULL, 'refs' => [ 'InferenceRecommendation$InvocationEndTime' => 'A timestamp that shows when the benchmark completed.
', 'RecommendationJobInferenceBenchmark$InvocationEndTime' => 'A timestamp that shows when the benchmark completed.
', ], ], 'InvocationStartTime' => [ 'base' => NULL, 'refs' => [ 'InferenceRecommendation$InvocationStartTime' => 'A timestamp that shows when the benchmark started.
', 'RecommendationJobInferenceBenchmark$InvocationStartTime' => 'A timestamp that shows when the benchmark started.
', ], ], 'InvocationsMaxRetries' => [ 'base' => NULL, 'refs' => [ 'ModelClientConfig$InvocationsMaxRetries' => 'The maximum number of retries when invocation requests are failing. The default value is 3.
', ], ], 'InvocationsTimeoutInSeconds' => [ 'base' => NULL, 'refs' => [ 'ModelClientConfig$InvocationsTimeoutInSeconds' => 'The timeout value in seconds for an invocation request. The default value is 600.
', ], ], 'IotRoleAlias' => [ 'base' => NULL, 'refs' => [ 'DescribeDeviceFleetResponse$IotRoleAlias' => 'The Amazon Resource Name (ARN) alias created in Amazon Web Services Internet of Things (IoT).
', ], ], 'IsTrackingServerActive' => [ 'base' => NULL, 'refs' => [ 'DescribeMlflowTrackingServerResponse$IsActive' => 'Whether the described MLflow Tracking Server is currently active.
', 'TrackingServerSummary$IsActive' => 'The activity status of a listed tracking server.
', ], ], 'ItemIdentifierAttributeName' => [ 'base' => NULL, 'refs' => [ 'TimeSeriesConfig$ItemIdentifierAttributeName' => 'The name of the column that represents the set of item identifiers for which you want to predict the target value.
', ], ], 'JobDurationInSeconds' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobInputConfig$JobDurationInSeconds' => 'Specifies the maximum duration of the job, in seconds. The maximum value is 18,000 seconds.
', ], ], 'JobReferenceCode' => [ 'base' => NULL, 'refs' => [ 'DescribeLabelingJobResponse$JobReferenceCode' => 'A unique identifier for work done as part of a labeling job.
', 'LabelingJobForWorkteamSummary$JobReferenceCode' => 'A unique identifier for a labeling job. You can use this to refer to a specific labeling job.
', ], ], 'JobReferenceCodeContains' => [ 'base' => NULL, 'refs' => [ 'ListLabelingJobsForWorkteamRequest$JobReferenceCodeContains' => 'A filter the limits jobs to only the ones whose job reference code contains the specified string.
', ], ], 'JobType' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionRequest$JobType' => 'Indicates SageMaker AI job type compatibility.
TRAINING: The image version is compatible with SageMaker AI training jobs.
INFERENCE: The image version is compatible with SageMaker AI inference jobs.
NOTEBOOK_KERNEL: The image version is compatible with SageMaker AI notebook kernels.
Indicates SageMaker AI job type compatibility.
TRAINING: The image version is compatible with SageMaker AI training jobs.
INFERENCE: The image version is compatible with SageMaker AI inference jobs.
NOTEBOOK_KERNEL: The image version is compatible with SageMaker AI notebook kernels.
Indicates SageMaker AI job type compatibility.
TRAINING: The image version is compatible with SageMaker AI training jobs.
INFERENCE: The image version is compatible with SageMaker AI inference jobs.
NOTEBOOK_KERNEL: The image version is compatible with SageMaker AI notebook kernels.
Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. You can specify OutputFilter as an additional filter to select a portion of the joined dataset and store it in the output file.
For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput.
For CSV data, SageMaker takes each row as a JSON array and joins the transformed data with the input by appending each transformed row to the end of the input. The joined data has the original input data followed by the transformed data and the output is a CSV file.
For information on how joining in applied, see Workflow for Associating Inferences with Input Records.
', ], ], 'JsonContentType' => [ 'base' => NULL, 'refs' => [ 'JsonContentTypes$member' => NULL, ], ], 'JsonContentTypes' => [ 'base' => NULL, 'refs' => [ 'CaptureContentTypeHeader$JsonContentTypes' => 'The list of all content type headers that SageMaker AI will treat as JSON and capture accordingly.
', ], ], 'JsonPath' => [ 'base' => NULL, 'refs' => [ 'DataProcessing$InputFilter' => 'A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter parameter to exclude fields, such as an ID column, from the input. If you want SageMaker to pass the entire input dataset to the algorithm, accept the default value $.
Examples: "$", "$[1:]", "$.features"
A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want SageMaker to store the entire input dataset in the output file, leave the default value, $. If you specify indexes that aren\'t within the dimension size of the joined dataset, you get an error.
Examples: "$", "$[0,5:]", "$[\'id\',\'SageMakerOutput\']"
The configuration for the file system and kernels in a SageMaker AI image running as a JupyterLab app. The FileSystemConfig object is not supported.
The configuration for the file system and the runtime, such as the environment variables and entry point.
', 'CreateAppImageConfigRequest$JupyterLabAppImageConfig' => 'The JupyterLabAppImageConfig. You can only specify one image kernel in the AppImageConfig API. This kernel is shown to users before the image starts. After the image runs, all kernels are visible in JupyterLab.
The configuration of the JupyterLab app.
', 'UpdateAppImageConfigRequest$JupyterLabAppImageConfig' => 'The JupyterLab app running on the image.
', ], ], 'JupyterLabAppSettings' => [ 'base' => 'The settings for the JupyterLab application.
', 'refs' => [ 'DefaultSpaceSettings$JupyterLabAppSettings' => NULL, 'UserSettings$JupyterLabAppSettings' => 'The settings for the JupyterLab application.
SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn\'t apply these settings to shared spaces.
', ], ], 'JupyterServerAppSettings' => [ 'base' => 'The JupyterServer app settings.
', 'refs' => [ 'DefaultSpaceSettings$JupyterServerAppSettings' => NULL, 'SpaceSettings$JupyterServerAppSettings' => NULL, 'UserSettings$JupyterServerAppSettings' => 'The Jupyter server\'s app settings.
', ], ], 'KeepAlivePeriodInSeconds' => [ 'base' => 'Optional. Customer requested period in seconds for which the Training cluster is kept alive after the job is finished.', 'refs' => [ 'ResourceConfig$KeepAlivePeriodInSeconds' => 'The duration of time in seconds to retain configured resources in a warm pool for subsequent training jobs.
', 'ResourceConfigForUpdate$KeepAlivePeriodInSeconds' => 'The KeepAlivePeriodInSeconds value specified in the ResourceConfig to update.
The Amazon SageMaker Canvas application setting where you configure document querying.
', 'refs' => [ 'CanvasAppSettings$KendraSettings' => 'The settings for document querying.
', ], ], 'KernelDisplayName' => [ 'base' => NULL, 'refs' => [ 'KernelSpec$DisplayName' => 'The display name of the kernel.
', ], ], 'KernelGatewayAppSettings' => [ 'base' => 'The KernelGateway app settings.
', 'refs' => [ 'DefaultSpaceSettings$KernelGatewayAppSettings' => NULL, 'SpaceSettings$KernelGatewayAppSettings' => NULL, 'UserSettings$KernelGatewayAppSettings' => 'The kernel gateway app settings.
', ], ], 'KernelGatewayImageConfig' => [ 'base' => 'The configuration for the file system and kernels in a SageMaker AI image running as a KernelGateway app.
', 'refs' => [ 'AppImageConfigDetails$KernelGatewayImageConfig' => 'The configuration for the file system and kernels in the SageMaker AI image.
', 'CreateAppImageConfigRequest$KernelGatewayImageConfig' => 'The KernelGatewayImageConfig. You can only specify one image kernel in the AppImageConfig API. This kernel will be shown to users before the image starts. Once the image runs, all kernels are visible in JupyterLab.
', 'DescribeAppImageConfigResponse$KernelGatewayImageConfig' => 'The configuration of a KernelGateway app.
', 'UpdateAppImageConfigRequest$KernelGatewayImageConfig' => 'The new KernelGateway app to run on the image.
', ], ], 'KernelName' => [ 'base' => NULL, 'refs' => [ 'KernelSpec$Name' => 'The name of the Jupyter kernel in the image. This value is case sensitive.
', ], ], 'KernelSpec' => [ 'base' => 'The specification of a Jupyter kernel.
', 'refs' => [ 'KernelSpecs$member' => NULL, ], ], 'KernelSpecs' => [ 'base' => NULL, 'refs' => [ 'KernelGatewayImageConfig$KernelSpecs' => 'The specification of the Jupyter kernels in the image.
', ], ], 'Key' => [ 'base' => NULL, 'refs' => [ 'PipelineDefinitionS3Location$ObjectKey' => 'The object key (or key name) uniquely identifies the object in an S3 bucket.
', ], ], 'KmsKeyId' => [ 'base' => NULL, 'refs' => [ 'AsyncInferenceOutputConfig$KmsKeyId' => 'The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the asynchronous inference output in Amazon S3.
', 'AthenaDatasetDefinition$KmsKeyId' => 'The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data generated from an Athena query execution.
', 'AutoMLOutputDataConfig$KmsKeyId' => 'The Key Management Service encryption key ID.
', 'AutoMLSecurityConfig$VolumeKmsKeyId' => 'The key used to encrypt stored data.
', 'BatchDataCaptureConfig$KmsKeyId' => 'The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the batch transform job.
The KmsKeyId can be any of the following formats:
Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
Use KmsKeyId.
SageMaker AI uses Amazon Web Services KMS to encrypt EFS and EBS volumes attached to the domain with an Amazon Web Services managed key by default. For more control, specify a customer managed key.
', 'CreateEdgePackagingJobRequest$ResourceKey' => 'The Amazon Web Services KMS key to use when encrypting the EBS volume the edge packaging job runs on.
', 'CreateEndpointConfigInput$KmsKeyId' => 'The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
The KmsKeyId can be any of the following formats:
Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
The KMS key policy must grant permission to the IAM role that you specify in your CreateEndpoint, UpdateEndpoint requests. For more information, refer to the Amazon Web Services Key Management Service section Using Key Policies in Amazon Web Services KMS
Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can\'t request a KmsKeyId when using an instance type with local storage. If any of the models that you specify in the ProductionVariants parameter use nitro-based instances with local storage, do not specify a value for the KmsKeyId parameter. If you specify a value for KmsKeyId when using any nitro-based instances with local storage, the call to CreateEndpointConfig fails.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. The KmsKey can be any of the following formats:
KMS key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
KMS key Alias
"alias/ExampleAlias"
Amazon Resource Name (ARN) of a KMS key Alias
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
If you use a KMS key ID or an alias of your KMS key, the Amazon SageMaker execution role must include permissions to call kms:Encrypt. If you don\'t provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role\'s account. Amazon SageMaker uses server-side encryption with KMS managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you specify in your CreateEndpoint and UpdateEndpoint requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker AI uses to encrypt data on the storage volume attached to your notebook instance. The KMS key you provide must be enabled. For information, see Enabling and Disabling Keys in the Amazon Web Services Key Management Service Developer Guide.
', 'DataCaptureConfig$KmsKeyId' => 'The Amazon Resource Name (ARN) of an Key Management Service key that SageMaker AI uses to encrypt the captured data at rest using Amazon S3 server-side encryption.
The KmsKeyId can be any of the following formats:
Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
The KMS key being used to encrypt the data in Amazon S3.
', 'DescribeDomainResponse$HomeEfsFileSystemKmsKeyId' => 'Use KmsKeyId.
The Amazon Web Services KMS customer managed key used to encrypt the EFS volume attached to the domain.
', 'DescribeEdgePackagingJobResponse$ResourceKey' => 'The Amazon Web Services KMS key to use when encrypting the EBS volume the job run on.
', 'DescribeEndpointConfigOutput$KmsKeyId' => 'Amazon Web Services KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance.
', 'DescribeInferenceExperimentResponse$KmsKey' => 'The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment.
', 'DescribeNotebookInstanceOutput$KmsKeyId' => 'The Amazon Web Services KMS key ID SageMaker AI uses to encrypt data when storing it on the ML storage volume attached to the instance.
', 'EdgeOutputConfig$KmsKeyId' => 'The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume after compilation job. If you don\'t provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role\'s account.
', 'FlowDefinitionOutputConfig$KmsKeyId' => 'The Amazon Key Management Service (KMS) key ID for server-side encryption.
', 'HyperParameterTuningResourceConfig$VolumeKmsKeyId' => 'A key used by Amazon Web Services Key Management Service to encrypt data on the storage volume attached to the compute instances used to run the training job. You can use either of the following formats to specify a key.
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
Some instances use local storage, which use a hardware module to encrypt storage volumes. If you choose one of these instance types, you cannot request a VolumeKmsKeyId. For a list of instance types that use local storage, see instance store volumes. For more information about Amazon Web Services Key Management Service, see KMS encryption for more information.
The Amazon Web Services Key Management Service key that Amazon SageMaker uses to encrypt captured data at rest using Amazon S3 server-side encryption.
', 'LabelingJobOutputConfig$KmsKeyId' => 'The Amazon Web Services Key Management Service ID of the key used to encrypt the output data, if any.
If you provide your own KMS key ID, you must add the required permissions to your KMS key described in Encrypt Output Data and Storage Volume with Amazon Web Services KMS.
If you don\'t provide a KMS key ID, Amazon SageMaker uses the default Amazon Web Services KMS key for Amazon S3 for your role\'s account to encrypt your output data.
If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference jobs used for automated data labeling.
You can only specify a VolumeKmsKeyId when you create a labeling job with automated data labeling enabled using the API operation CreateLabelingJob. You cannot specify an Amazon Web Services KMS key to encrypt the storage volume used for automated data labeling model training and inference when you create a labeling job using the console. To learn more, see Output Data and Storage Volume Encryption.
The VolumeKmsKeyId can be any of the following formats:
KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
A Key Management Service key ID to use for encrypting a model card.
', 'ModelPackageSecurityConfig$KmsKeyId' => 'The KMS Key ID (KMSKeyId) used for encryption of model package information.
The Key Management Service (KMS) key that Amazon SageMaker AI uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
', 'MonitoringOutputConfig$KmsKeyId' => 'The Key Management Service (KMS) key that Amazon SageMaker AI uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.
', 'OnlineStoreSecurityConfig$KmsKeyId' => 'The Amazon Web Services Key Management Service (KMS) key ARN that SageMaker Feature Store uses to encrypt the Amazon S3 objects at rest using Amazon S3 server-side encryption.
The caller (either user or IAM role) of CreateFeatureGroup must have below permissions to the OnlineStore KmsKeyId:
"kms:Encrypt"
"kms:Decrypt"
"kms:DescribeKey"
"kms:CreateGrant"
"kms:RetireGrant"
"kms:ReEncryptFrom"
"kms:ReEncryptTo"
"kms:GenerateDataKey"
"kms:ListAliases"
"kms:ListGrants"
"kms:RevokeGrant"
The caller (either user or IAM role) to all DataPlane operations (PutRecord, GetRecord, DeleteRecord) must have the following permissions to the KmsKeyId:
"kms:Decrypt"
The Amazon Resource Name (ARN) of a key in Amazon Web Services KMS. SageMaker uses they key to encrypt the artifacts of the optimized model when SageMaker uploads the model to Amazon S3.
', 'OutputConfig$KmsKeyId' => 'The Amazon Web Services Key Management Service key (Amazon Web Services KMS) that Amazon SageMaker AI uses to encrypt your output models with Amazon S3 server-side encryption after compilation job. If you don\'t provide a KMS key ID, Amazon SageMaker AI uses the default KMS key for Amazon S3 for your role\'s account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KmsKeyId can be any of the following formats:
Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
// KMS Key Alias
"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
If you use a KMS key ID or an alias of your KMS key, the SageMaker execution role must include permissions to call kms:Encrypt. If you don\'t provide a KMS key ID, SageMaker uses the default KMS key for Amazon S3 for your role\'s account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide. If the output data is stored in Amazon S3 Express One Zone, it is encrypted with server-side encryption with Amazon S3 managed keys (SSE-S3). KMS key is not supported for Amazon S3 Express One Zone
The KMS key policy must grant permission to the IAM role that you specify in your CreateTrainingJob, CreateTransformJob, or CreateHyperParameterTuningJob requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can\'t request a VolumeKmsKeyId when using an instance type with local storage.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the processing job output. KmsKeyId can be an ID of a KMS key, ARN of a KMS key, alias of a KMS key, or alias of a KMS key. The KmsKeyId is applied to all outputs.
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the core dump data at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
// KMS Key Alias
"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
If you use a KMS key ID or an alias of your KMS key, the SageMaker execution role must include permissions to call kms:Encrypt. If you don\'t provide a KMS key ID, SageMaker uses the default KMS key for Amazon S3 for your role\'s account. SageMaker uses server-side encryption with KMS-managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you specify in your CreateEndpoint and UpdateEndpoint requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.
The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.
The KmsKeyId can be any of the following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"
// KMS Key Alias
"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias
"arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"
For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.
', 'RecommendationJobOutputConfig$KmsKeyId' => 'The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt your output artifacts with Amazon S3 server-side encryption. The SageMaker execution role must have kms:GenerateDataKey permission.
The KmsKeyId can be any of the following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"
// KMS Key Alias
"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias
"arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"
For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.
', 'RedshiftDatasetDefinition$KmsKeyId' => 'The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data from a Redshift execution.
', 'ResourceConfig$VolumeKmsKeyId' => 'The Amazon Web Services KMS key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job.
Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can\'t request a VolumeKmsKeyId when using an instance type with local storage.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
The VolumeKmsKeyId can be in any of the following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
The Amazon Web Services Key Management Service (KMS) key ARN of the key used to encrypt any objects written into the OfflineStore S3 location.
The IAM roleARN that is passed as a parameter to CreateFeatureGroup must have below permissions to the KmsKeyId:
"kms:GenerateDataKey"
When NotebookOutputOption is Allowed, the Amazon Web Services Key Management Service (KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:
Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
If you don\'t provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role\'s account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you specify in your CreateModel request. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.
', 'TransformResources$VolumeKmsKeyId' => 'The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job.
Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can\'t request a VolumeKmsKeyId when using an instance type with local storage.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
The VolumeKmsKeyId can be any of the following formats:
Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
The Amazon Web Services Key Management Service (KMS) encryption key ID that is used to encrypt artifacts generated by Canvas in the Amazon S3 bucket.
', ], ], 'LabelAttributeName' => [ 'base' => NULL, 'refs' => [ 'CreateLabelingJobRequest$LabelAttributeName' => 'The attribute name to use for the label in the output manifest file. This is the key for the key/value pair formed with the label that a worker assigns to the object. The LabelAttributeName must meet the following requirements.
The name can\'t end with "-metadata".
If you are using one of the following built-in task types, the attribute name must end with "-ref". If the task type you are using is not listed below, the attribute name must not end with "-ref".
Image semantic segmentation (SemanticSegmentation), and adjustment (AdjustmentSemanticSegmentation) and verification (VerificationSemanticSegmentation) labeling jobs for this task type.
Video frame object detection (VideoObjectDetection), and adjustment and verification (AdjustmentVideoObjectDetection) labeling jobs for this task type.
Video frame object tracking (VideoObjectTracking), and adjustment and verification (AdjustmentVideoObjectTracking) labeling jobs for this task type.
3D point cloud semantic segmentation (3DPointCloudSemanticSegmentation), and adjustment and verification (Adjustment3DPointCloudSemanticSegmentation) labeling jobs for this task type.
3D point cloud object tracking (3DPointCloudObjectTracking), and adjustment and verification (Adjustment3DPointCloudObjectTracking) labeling jobs for this task type.
If you are creating an adjustment or verification labeling job, you must use a different LabelAttributeName than the one used in the original labeling job. The original labeling job is the Ground Truth labeling job that produced the labels that you want verified or adjusted. To learn more about adjustment and verification labeling jobs, see Verify and Adjust Labels.
The attribute used as the label in the output manifest file.
', ], ], 'LabelCounter' => [ 'base' => NULL, 'refs' => [ 'LabelCounters$TotalLabeled' => 'The total number of objects labeled.
', 'LabelCounters$HumanLabeled' => 'The total number of objects labeled by a human worker.
', 'LabelCounters$MachineLabeled' => 'The total number of objects labeled by automated data labeling.
', 'LabelCounters$FailedNonRetryableError' => 'The total number of objects that could not be labeled due to an error.
', 'LabelCounters$Unlabeled' => 'The total number of objects not yet labeled.
', 'LabelCountersForWorkteam$HumanLabeled' => 'The total number of data objects labeled by a human worker.
', 'LabelCountersForWorkteam$PendingHuman' => 'The total number of data objects that need to be labeled by a human worker.
', 'LabelCountersForWorkteam$Total' => 'The total number of tasks in the labeling job.
', ], ], 'LabelCounters' => [ 'base' => 'Provides a breakdown of the number of objects labeled.
', 'refs' => [ 'DescribeLabelingJobResponse$LabelCounters' => 'Provides a breakdown of the number of data objects labeled by humans, the number of objects labeled by machine, the number of objects than couldn\'t be labeled, and the total number of objects labeled.
', 'LabelingJobSummary$LabelCounters' => 'Counts showing the progress of the labeling job.
', ], ], 'LabelCountersForWorkteam' => [ 'base' => 'Provides counts for human-labeled tasks in the labeling job.
', 'refs' => [ 'LabelingJobForWorkteamSummary$LabelCounters' => 'Provides information about the progress of a labeling job.
', ], ], 'LabelingJobAlgorithmSpecificationArn' => [ 'base' => NULL, 'refs' => [ 'LabelingJobAlgorithmsConfig$LabelingJobAlgorithmSpecificationArn' => 'Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs:
Image classification
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification
Text classification
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification
Object detection
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection
Semantic Segmentation
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation
Provides configuration information for auto-labeling of your data objects. A LabelingJobAlgorithmsConfig object must be supplied in order to use auto-labeling.
Configures the information required to perform automated data labeling.
', 'DescribeLabelingJobResponse$LabelingJobAlgorithmsConfig' => 'Configuration information for automated data labeling.
', ], ], 'LabelingJobArn' => [ 'base' => NULL, 'refs' => [ 'CreateLabelingJobResponse$LabelingJobArn' => 'The Amazon Resource Name (ARN) of the labeling job. You use this ARN to identify the labeling job.
', 'DescribeLabelingJobResponse$LabelingJobArn' => 'The Amazon Resource Name (ARN) of the labeling job.
', 'DescribeTrainingJobResponse$LabelingJobArn' => 'The Amazon Resource Name (ARN) of the SageMaker Ground Truth labeling job that created the transform or training job.
', 'DescribeTransformJobResponse$LabelingJobArn' => 'The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
', 'LabelingJobSummary$LabelingJobArn' => 'The Amazon Resource Name (ARN) assigned to the labeling job when it was created.
', 'TrainingJob$LabelingJobArn' => 'The Amazon Resource Name (ARN) of the labeling job.
', 'TransformJob$LabelingJobArn' => 'The Amazon Resource Name (ARN) of the labeling job that created the transform job.
', ], ], 'LabelingJobDataAttributes' => [ 'base' => 'Attributes of the data specified by the customer. Use these to describe the data to be labeled.
', 'refs' => [ 'LabelingJobInputConfig$DataAttributes' => 'Attributes of the data specified by the customer.
', ], ], 'LabelingJobDataSource' => [ 'base' => 'Provides information about the location of input data.
You must specify at least one of the following: S3DataSource or SnsDataSource.
Use SnsDataSource to specify an SNS input topic for a streaming labeling job. If you do not specify and SNS input topic ARN, Ground Truth will create a one-time labeling job.
Use S3DataSource to specify an input manifest file for both streaming and one-time labeling jobs. Adding an S3DataSource is optional if you use SnsDataSource to create a streaming labeling job.
The location of the input data.
', ], ], 'LabelingJobForWorkteamSummary' => [ 'base' => 'Provides summary information for a work team.
', 'refs' => [ 'LabelingJobForWorkteamSummaryList$member' => NULL, ], ], 'LabelingJobForWorkteamSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListLabelingJobsForWorkteamResponse$LabelingJobSummaryList' => 'An array of LabelingJobSummary objects, each describing a labeling job.
Input configuration information for a labeling job.
', 'refs' => [ 'CreateLabelingJobRequest$InputConfig' => 'Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
You must specify at least one of the following: S3DataSource or SnsDataSource.
Use SnsDataSource to specify an SNS input topic for a streaming labeling job. If you do not specify and SNS input topic ARN, Ground Truth will create a one-time labeling job that stops after all data objects in the input manifest file have been labeled.
Use S3DataSource to specify an input manifest file for both streaming and one-time labeling jobs. Adding an S3DataSource is optional if you use SnsDataSource to create a streaming labeling job.
If you use the Amazon Mechanical Turk workforce, your input data should not include confidential information, personal information or protected health information. Use ContentClassifiers to specify that your data is free of personally identifiable information and adult content.
Input configuration information for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
', 'LabelingJobSummary$InputConfig' => 'Input configuration for the labeling job.
', ], ], 'LabelingJobName' => [ 'base' => NULL, 'refs' => [ 'CreateLabelingJobRequest$LabelingJobName' => 'The name of the labeling job. This name is used to identify the job in a list of labeling jobs. Labeling job names must be unique within an Amazon Web Services account and region. LabelingJobName is not case sensitive. For example, Example-job and example-job are considered the same labeling job name by Ground Truth.
The name of the labeling job to return information for.
', 'DescribeLabelingJobResponse$LabelingJobName' => 'The name assigned to the labeling job when it was created.
', 'LabelingJobForWorkteamSummary$LabelingJobName' => 'The name of the labeling job that the work team is assigned to.
', 'LabelingJobSummary$LabelingJobName' => 'The name of the labeling job.
', 'StopLabelingJobRequest$LabelingJobName' => 'The name of the labeling job to stop.
', ], ], 'LabelingJobOutput' => [ 'base' => 'Specifies the location of the output produced by the labeling job.
', 'refs' => [ 'DescribeLabelingJobResponse$LabelingJobOutput' => 'The location of the output produced by the labeling job.
', 'LabelingJobSummary$LabelingJobOutput' => 'The location of the output produced by the labeling job.
', ], ], 'LabelingJobOutputConfig' => [ 'base' => 'Output configuration information for a labeling job.
', 'refs' => [ 'CreateLabelingJobRequest$OutputConfig' => 'The location of the output data and the Amazon Web Services Key Management Service key ID for the key used to encrypt the output data, if any.
', 'DescribeLabelingJobResponse$OutputConfig' => 'The location of the job\'s output data and the Amazon Web Services Key Management Service key ID for the key used to encrypt the output data, if any.
', ], ], 'LabelingJobResourceConfig' => [ 'base' => 'Configure encryption on the storage volume attached to the ML compute instance used to run automated data labeling model training and inference.
', 'refs' => [ 'LabelingJobAlgorithmsConfig$LabelingJobResourceConfig' => 'Provides configuration information for a labeling job.
', ], ], 'LabelingJobS3DataSource' => [ 'base' => 'The Amazon S3 location of the input data objects.
', 'refs' => [ 'LabelingJobDataSource$S3DataSource' => 'The Amazon S3 location of the input data objects.
', ], ], 'LabelingJobSnsDataSource' => [ 'base' => 'An Amazon SNS data source used for streaming labeling jobs.
', 'refs' => [ 'LabelingJobDataSource$SnsDataSource' => 'An Amazon SNS data source used for streaming labeling jobs. To learn more, see Send Data to a Streaming Labeling Job.
', ], ], 'LabelingJobStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeLabelingJobResponse$LabelingJobStatus' => 'The processing status of the labeling job.
', 'LabelingJobSummary$LabelingJobStatus' => 'The current status of the labeling job.
', 'ListLabelingJobsRequest$StatusEquals' => 'A filter that retrieves only labeling jobs with a specific status.
', ], ], 'LabelingJobStoppingConditions' => [ 'base' => 'A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.
Labeling jobs fail after 30 days with an appropriate client error message.
A set of conditions for stopping the labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.
', 'DescribeLabelingJobResponse$StoppingConditions' => 'A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped.
', ], ], 'LabelingJobSummary' => [ 'base' => 'Provides summary information about a labeling job.
', 'refs' => [ 'LabelingJobSummaryList$member' => NULL, ], ], 'LabelingJobSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListLabelingJobsResponse$LabelingJobSummaryList' => 'An array of LabelingJobSummary objects, each describing a labeling job.
The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation and to process output data.
For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for AnnotationConsolidationLambdaArn. For custom labeling workflows, see Post-annotation Lambda.
Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.
arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox
arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox
arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox
Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass
arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass
arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass
Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClassMultiLabel
Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.
arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation
Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass
arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass
arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass
Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClassMultiLabel
Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.
arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition
arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition
arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition
arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition
arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition
arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition
arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition
Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoMultiClass
arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoMultiClass
arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoMultiClass
Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectDetection
Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectTracking
3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectDetection
3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.
arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectTracking
3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.
arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudSemanticSegmentation
Use the following ARNs for Label Verification and Adjustment Jobs
Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .
Semantic Segmentation Adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.
arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentSemanticSegmentation
Semantic Segmentation Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationSemanticSegmentation
Bounding Box Adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.
arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentBoundingBox
Bounding Box Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationBoundingBox
arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationBoundingBox
arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationBoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationBoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationBoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationBoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationBoundingBox
Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.
arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectDetection
Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.
arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectTracking
3D Point Cloud Object Detection Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects in a 3D point cloud.
arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectDetection
3D Point Cloud Object Tracking Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects that appear in a sequence of 3D point cloud frames.
arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectTracking
3D Point Cloud Semantic Segmentation Adjustment - Use this task type when you want workers to adjust a point-level semantic segmentation masks using a paint tool.
arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudSemanticSegmentation
The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.
For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.
Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.
arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox
arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox
arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox
Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass
arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass
arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass
Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel
Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.
arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation
Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass
arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass
arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass
Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel
Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.
arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition
arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition
arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition
arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition
arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition
arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition
arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition
arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition
Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.
arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass
arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass
arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass
Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection
Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking
3D Point Cloud Modalities
Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.
3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection
3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.
arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking
3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.
arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation
Use the following ARNs for Label Verification and Adjustment Jobs
Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .
Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox
arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox
arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox
Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.
arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox
Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation
Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.
arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation
Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.
arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection
Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.
arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking
3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.
arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection
3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.
arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking
3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.
arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation
The Amazon Resource Name (ARN) of a Lambda function. The function is run before each data object is sent to a worker.
', 'LabelingJobSummary$AnnotationConsolidationLambdaArn' => 'The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers into a label for a data object. For more information, see Annotation Consolidation.
', ], ], 'LambdaStepMetadata' => [ 'base' => 'Metadata for a Lambda step.
', 'refs' => [ 'PipelineExecutionStepMetadata$Lambda' => 'The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution and a list of output parameters.
', ], ], 'LandingUri' => [ 'base' => NULL, 'refs' => [ 'CreatePresignedDomainUrlRequest$LandingUri' => 'The landing page that the user is directed to when accessing the presigned URL. Using this value, users can access Studio or Studio Classic, even if it is not the default experience for the domain. The supported values are:
studio::relative/path: Directs users to the relative path in Studio.
app:JupyterServer:relative/path: Directs users to the relative path in the Studio Classic application.
app:JupyterLab:relative/path: Directs users to the relative path in the JupyterLab application.
app:RStudioServerPro:relative/path: Directs users to the relative path in the RStudio application.
app:CodeEditor:relative/path: Directs users to the relative path in the Code Editor, based on Code-OSS, Visual Studio Code - Open Source application.
app:Canvas:relative/path: Directs users to the relative path in the Canvas application.
The default experience that the user is directed to when accessing the domain. The supported values are:
studio::: Indicates that Studio is the default experience. This value can only be passed if StudioWebPortal is set to ENABLED.
app:JupyterServer:: Indicates that Studio Classic is the default experience.
The date and time that the Git repository was last modified.
', 'CompilationJobSummary$LastModifiedTime' => 'The time when the model compilation job was last modified.
', 'DescribeCodeRepositoryOutput$LastModifiedTime' => 'The date and time that the repository was last changed.
', 'DescribeCompilationJobResponse$LastModifiedTime' => 'The time that the status of the model compilation job was last modified.
', 'DescribeDomainResponse$LastModifiedTime' => 'The last modified time.
', 'DescribeFeatureGroupResponse$LastModifiedTime' => 'A timestamp indicating when the feature group was last updated.
', 'DescribeFeatureMetadataResponse$LastModifiedTime' => 'A timestamp indicating when the metadata for the feature group was modified. For example, if you add a parameter describing the feature, the timestamp changes to reflect the last time you
', 'DescribeInferenceRecommendationsJobResponse$LastModifiedTime' => 'A timestamp that shows when the job was last modified.
', 'DescribeNotebookInstanceLifecycleConfigOutput$LastModifiedTime' => 'A timestamp that tells when the lifecycle configuration was last modified.
', 'DescribeNotebookInstanceOutput$LastModifiedTime' => 'A timestamp. Use this parameter to retrieve the time when the notebook instance was last modified.
', 'DescribeOptimizationJobResponse$LastModifiedTime' => 'The time when the optimization job was last updated.
', 'DescribeSpaceResponse$LastModifiedTime' => 'The last modified time.
', 'DescribeUserProfileResponse$LastModifiedTime' => 'The last modified time.
', 'DomainDetails$LastModifiedTime' => 'The last modified time.
', 'FeatureGroup$LastModifiedTime' => 'A timestamp indicating the last time you updated the feature group.
', 'FeatureMetadata$LastModifiedTime' => 'A timestamp indicating when the feature was last modified.
', 'InferenceRecommendationsJob$LastModifiedTime' => 'A timestamp that shows when the job was last modified.
', 'ListCompilationJobsRequest$LastModifiedTimeAfter' => 'A filter that returns the model compilation jobs that were modified after a specified time.
', 'ListCompilationJobsRequest$LastModifiedTimeBefore' => 'A filter that returns the model compilation jobs that were modified before a specified time.
', 'ListInferenceRecommendationsJobsRequest$LastModifiedTimeAfter' => 'A filter that returns only jobs that were last modified after the specified time (timestamp).
', 'ListInferenceRecommendationsJobsRequest$LastModifiedTimeBefore' => 'A filter that returns only jobs that were last modified before the specified time (timestamp).
', 'ListNotebookInstanceLifecycleConfigsInput$LastModifiedTimeBefore' => 'A filter that returns only lifecycle configurations that were modified before the specified time (timestamp).
', 'ListNotebookInstanceLifecycleConfigsInput$LastModifiedTimeAfter' => 'A filter that returns only lifecycle configurations that were modified after the specified time (timestamp).
', 'ListNotebookInstancesInput$LastModifiedTimeBefore' => 'A filter that returns only notebook instances that were modified before the specified time (timestamp).
', 'ListNotebookInstancesInput$LastModifiedTimeAfter' => 'A filter that returns only notebook instances that were modified after the specified time (timestamp).
', 'ListOptimizationJobsRequest$LastModifiedTimeAfter' => 'Filters the results to only those optimization jobs that were updated after the specified time.
', 'ListOptimizationJobsRequest$LastModifiedTimeBefore' => 'Filters the results to only those optimization jobs that were updated before the specified time.
', 'NotebookInstanceLifecycleConfigSummary$LastModifiedTime' => 'A timestamp that tells when the lifecycle configuration was last modified.
', 'NotebookInstanceSummary$LastModifiedTime' => 'A timestamp that shows when the notebook instance was last modified.
', 'OptimizationJobSummary$LastModifiedTime' => 'The time when the optimization job was last updated.
', 'SpaceDetails$LastModifiedTime' => 'The last modified time.
', 'UserProfileDetails$LastModifiedTime' => 'The last modified time.
', ], ], 'LastUpdateStatus' => [ 'base' => 'A value that indicates whether the update was successful.
', 'refs' => [ 'DescribeFeatureGroupResponse$LastUpdateStatus' => 'A value indicating whether the update made to the feature group was successful.
', 'FeatureGroup$LastUpdateStatus' => 'A value that indicates whether the feature group was updated successfully.
', ], ], 'LastUpdateStatusValue' => [ 'base' => NULL, 'refs' => [ 'LastUpdateStatus$Status' => 'A value that indicates whether the update was made successful.
', ], ], 'LifecycleConfigArns' => [ 'base' => NULL, 'refs' => [ 'CodeEditorAppSettings$LifecycleConfigArns' => 'The Amazon Resource Name (ARN) of the Code Editor application lifecycle configuration.
', 'JupyterLabAppSettings$LifecycleConfigArns' => 'The Amazon Resource Name (ARN) of the lifecycle configurations attached to the user profile or domain. To remove a lifecycle config, you must set LifecycleConfigArns to an empty list.
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp. If you use this parameter, the DefaultResourceSpec parameter is also required.
To remove a Lifecycle Config, you must set LifecycleConfigArns to an empty list.
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.
To remove a Lifecycle Config, you must set LifecycleConfigArns to an empty list.
Indicates whether idle shutdown is activated for the application type.
', ], ], 'LineageEntityParameters' => [ 'base' => NULL, 'refs' => [ 'CreateActionRequest$Properties' => 'A list of properties to add to the action.
', 'CreateContextRequest$Properties' => 'A list of properties to add to the context.
', 'DescribeActionResponse$Properties' => 'A list of the action\'s properties.
', 'DescribeArtifactResponse$Properties' => 'A list of the artifact\'s properties.
', 'DescribeContextResponse$Properties' => 'A list of the context\'s properties.
', 'UpdateActionRequest$Properties' => 'The new list of properties. Overwrites the current property list.
', 'UpdateContextRequest$Properties' => 'The new list of properties. Overwrites the current property list.
', ], ], 'LineageGroupArn' => [ 'base' => NULL, 'refs' => [ 'DescribeActionResponse$LineageGroupArn' => 'The Amazon Resource Name (ARN) of the lineage group.
', 'DescribeArtifactResponse$LineageGroupArn' => 'The Amazon Resource Name (ARN) of the lineage group.
', 'DescribeContextResponse$LineageGroupArn' => 'The Amazon Resource Name (ARN) of the lineage group.
', 'DescribeLineageGroupResponse$LineageGroupArn' => 'The Amazon Resource Name (ARN) of the lineage group.
', 'DescribeTrialComponentResponse$LineageGroupArn' => 'The Amazon Resource Name (ARN) of the lineage group.
', 'GetLineageGroupPolicyResponse$LineageGroupArn' => 'The Amazon Resource Name (ARN) of the lineage group.
', 'LineageGroupSummary$LineageGroupArn' => 'The Amazon Resource Name (ARN) of the lineage group resource.
', 'TrialComponent$LineageGroupArn' => 'The Amazon Resource Name (ARN) of the lineage group resource.
', ], ], 'LineageGroupNameOrArn' => [ 'base' => NULL, 'refs' => [ 'GetLineageGroupPolicyRequest$LineageGroupName' => 'The name or Amazon Resource Name (ARN) of the lineage group.
', ], ], 'LineageGroupSummaries' => [ 'base' => NULL, 'refs' => [ 'ListLineageGroupsResponse$LineageGroupSummaries' => 'A list of lineage groups and their properties.
', ], ], 'LineageGroupSummary' => [ 'base' => 'Lists a summary of the properties of a lineage group. A lineage group provides a group of shareable lineage entity resources.
', 'refs' => [ 'LineageGroupSummaries$member' => NULL, ], ], 'LineageType' => [ 'base' => NULL, 'refs' => [ 'QueryLineageTypes$member' => NULL, 'Vertex$LineageType' => 'The type of resource of the lineage entity.
', ], ], 'ListActionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListActionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListAlgorithmsInput' => [ 'base' => NULL, 'refs' => [], ], 'ListAlgorithmsOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListAliasesRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListAliasesResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListAppImageConfigsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListAppImageConfigsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListAppsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListAppsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListArtifactsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListArtifactsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListAssociationsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListAssociationsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListAutoMLJobsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListAutoMLJobsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListCandidatesForAutoMLJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListCandidatesForAutoMLJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListClusterNodesRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListClusterNodesResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListClusterSchedulerConfigsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListClusterSchedulerConfigsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListClustersRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListClustersResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListCodeRepositoriesInput' => [ 'base' => NULL, 'refs' => [], ], 'ListCodeRepositoriesOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListCompilationJobsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListCompilationJobsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListCompilationJobsSortBy' => [ 'base' => NULL, 'refs' => [ 'ListCompilationJobsRequest$SortBy' => 'The field by which to sort results. The default is CreationTime.
The column to sort by.
', ], ], 'ListDevicesRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListDevicesResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListDomainsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListDomainsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListEdgeDeploymentPlansRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListEdgeDeploymentPlansResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListEdgeDeploymentPlansSortBy' => [ 'base' => NULL, 'refs' => [ 'ListEdgeDeploymentPlansRequest$SortBy' => 'The column by which to sort the edge deployment plans. Can be one of NAME, DEVICEFLEETNAME, CREATIONTIME, LASTMODIFIEDTIME.
Use to specify what column to sort by.
', ], ], 'ListEndpointConfigsInput' => [ 'base' => NULL, 'refs' => [], ], 'ListEndpointConfigsOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListEndpointsInput' => [ 'base' => NULL, 'refs' => [], ], 'ListEndpointsOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListExperimentsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListExperimentsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListFeatureGroupsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListFeatureGroupsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListFlowDefinitionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListFlowDefinitionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListHubContentVersionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListHubContentVersionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListHubContentsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListHubContentsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListHubsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListHubsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListHumanTaskUisRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListHumanTaskUisResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListHyperParameterTuningJobsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListHyperParameterTuningJobsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListImageVersionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListImageVersionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListImagesRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListImagesResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceComponentsInput' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceComponentsOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceExperimentsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceExperimentsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceRecommendationsJobStepsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceRecommendationsJobStepsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceRecommendationsJobsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceRecommendationsJobsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceRecommendationsJobsSortBy' => [ 'base' => NULL, 'refs' => [ 'ListInferenceRecommendationsJobsRequest$SortBy' => 'The parameter by which to sort the results.
', ], ], 'ListLabelingJobsForWorkteamRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListLabelingJobsForWorkteamResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListLabelingJobsForWorkteamSortByOptions' => [ 'base' => NULL, 'refs' => [ 'ListLabelingJobsForWorkteamRequest$SortBy' => 'The field to sort results by. The default is CreationTime.
A list of properties to remove.
', 'UpdateArtifactRequest$PropertiesToRemove' => 'A list of properties to remove.
', 'UpdateContextRequest$PropertiesToRemove' => 'A list of properties to remove.
', ], ], 'ListLineageGroupsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListLineageGroupsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListMaxResults' => [ 'base' => NULL, 'refs' => [ 'ListDeviceFleetsRequest$MaxResults' => 'The maximum number of results to select.
', 'ListDevicesRequest$MaxResults' => 'Maximum number of results to select.
', 'ListEdgeDeploymentPlansRequest$MaxResults' => 'The maximum number of results to select (50 by default).
', 'ListEdgePackagingJobsRequest$MaxResults' => 'Maximum number of results to select.
', 'ListStageDevicesRequest$MaxResults' => 'The maximum number of requests to select.
', ], ], 'ListMlflowTrackingServersRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListMlflowTrackingServersResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListModelBiasJobDefinitionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListModelBiasJobDefinitionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListModelCardExportJobsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListModelCardExportJobsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListModelCardVersionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListModelCardVersionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListModelCardsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListModelCardsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListModelExplainabilityJobDefinitionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListModelExplainabilityJobDefinitionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListModelMetadataRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListModelMetadataResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListModelPackageGroupsInput' => [ 'base' => NULL, 'refs' => [], ], 'ListModelPackageGroupsOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListModelPackagesInput' => [ 'base' => NULL, 'refs' => [], ], 'ListModelPackagesOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListModelQualityJobDefinitionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListModelQualityJobDefinitionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListModelsInput' => [ 'base' => NULL, 'refs' => [], ], 'ListModelsOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListMonitoringAlertHistoryRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListMonitoringAlertHistoryResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListMonitoringAlertsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListMonitoringAlertsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListMonitoringExecutionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListMonitoringExecutionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListMonitoringSchedulesRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListMonitoringSchedulesResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListNotebookInstanceLifecycleConfigsInput' => [ 'base' => NULL, 'refs' => [], ], 'ListNotebookInstanceLifecycleConfigsOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListNotebookInstancesInput' => [ 'base' => NULL, 'refs' => [], ], 'ListNotebookInstancesOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListOptimizationJobsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListOptimizationJobsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListOptimizationJobsSortBy' => [ 'base' => NULL, 'refs' => [ 'ListOptimizationJobsRequest$SortBy' => 'The field by which to sort the optimization jobs in the response. The default is CreationTime
Maximum number of tags to return.
', ], ], 'ListTagsOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListTrainingJobsForHyperParameterTuningJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListTrainingJobsForHyperParameterTuningJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListTrainingJobsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListTrainingJobsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListTrainingPlansRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListTrainingPlansResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListTransformJobsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListTransformJobsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListTrialComponentKey256' => [ 'base' => NULL, 'refs' => [ 'UpdateTrialComponentRequest$ParametersToRemove' => 'The hyperparameters to remove from the component.
', 'UpdateTrialComponentRequest$InputArtifactsToRemove' => 'The input artifacts to remove from the component.
', 'UpdateTrialComponentRequest$OutputArtifactsToRemove' => 'The output artifacts to remove from the component.
', ], ], 'ListTrialComponentsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListTrialComponentsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListTrialsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListTrialsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListUserProfilesRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListUserProfilesResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListWorkforcesRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListWorkforcesResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListWorkforcesSortByOptions' => [ 'base' => NULL, 'refs' => [ 'ListWorkforcesRequest$SortBy' => 'Sort workforces using the workforce name or creation date.
', ], ], 'ListWorkteamsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListWorkteamsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListWorkteamsSortByOptions' => [ 'base' => NULL, 'refs' => [ 'ListWorkteamsRequest$SortBy' => 'The field to sort results by. The default is CreationTime.
The number of Edge Manager agents.
', 'DeviceStats$ConnectedDeviceCount' => 'The number of devices connected with a heartbeat.
', 'DeviceStats$RegisteredDeviceCount' => 'The number of registered devices.
', 'EdgeModelStat$OfflineDeviceCount' => 'The number of devices that have this model version and do not have a heart beat.
', 'EdgeModelStat$ConnectedDeviceCount' => 'The number of devices that have this model version and have a heart beat.
', 'EdgeModelStat$ActiveDeviceCount' => 'The number of devices that have this model version, a heart beat, and are currently running.
', 'EdgeModelStat$SamplingDeviceCount' => 'The number of devices with this model version and are producing sample data.
', ], ], 'MLFramework' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionRequest$MLFramework' => 'The machine learning framework vended in the image version.
', 'DescribeImageVersionResponse$MLFramework' => 'The machine learning framework vended in the image version.
', 'UpdateImageVersionRequest$MLFramework' => 'The machine learning framework vended in the image version.
', ], ], 'ManagedInstanceScalingMaxInstanceCount' => [ 'base' => NULL, 'refs' => [ 'ProductionVariantManagedInstanceScaling$MaxInstanceCount' => 'The maximum number of instances that the endpoint can provision when it scales up to accommodate an increase in traffic.
', ], ], 'ManagedInstanceScalingMinInstanceCount' => [ 'base' => NULL, 'refs' => [ 'ProductionVariantManagedInstanceScaling$MinInstanceCount' => 'The minimum number of instances that the endpoint must retain when it scales down to accommodate a decrease in traffic.
', ], ], 'ManagedInstanceScalingStatus' => [ 'base' => NULL, 'refs' => [ 'ProductionVariantManagedInstanceScaling$Status' => 'Indicates whether managed instance scaling is enabled.
', ], ], 'MaxAutoMLJobRuntimeInSeconds' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobCompletionCriteria$MaxAutoMLJobRuntimeInSeconds' => 'The maximum runtime, in seconds, an AutoML job has to complete.
If an AutoML job exceeds the maximum runtime, the job is stopped automatically and its processing is ended gracefully. The AutoML job identifies the best model whose training was completed and marks it as the best-performing model. Any unfinished steps of the job, such as automatic one-click Autopilot model deployment, are not completed.
', ], ], 'MaxCandidates' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobCompletionCriteria$MaxCandidates' => 'The maximum number of times a training job is allowed to run.
For text and image classification, time-series forecasting, as well as text generation (LLMs fine-tuning) problem types, the supported value is 1. For tabular problem types, the maximum value is 750.
', ], ], 'MaxConcurrentInvocationsPerInstance' => [ 'base' => NULL, 'refs' => [ 'AsyncInferenceClientConfig$MaxConcurrentInvocationsPerInstance' => 'The maximum number of concurrent requests sent by the SageMaker client to the model container. If no value is provided, SageMaker chooses an optimal value.
', ], ], 'MaxConcurrentTaskCount' => [ 'base' => NULL, 'refs' => [ 'HumanTaskConfig$MaxConcurrentTaskCount' => 'Defines the maximum number of data objects that can be labeled by human workers at the same time. Also referred to as batch size. Each object may have more than one worker at one time. The default value is 1000 objects. To increase the maximum value to 5000 objects, contact Amazon Web Services Support.
', ], ], 'MaxConcurrentTransforms' => [ 'base' => NULL, 'refs' => [ 'CreateTransformJobRequest$MaxConcurrentTransforms' => 'The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, Amazon SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For more information on execution-parameters, see How Containers Serve Requests. For built-in algorithms, you don\'t need to set a value for MaxConcurrentTransforms.
The maximum number of parallel requests on each instance node that can be launched in a transform job. The default value is 1.
', 'TransformJob$MaxConcurrentTransforms' => 'The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For built-in algorithms, you don\'t need to set a value for MaxConcurrentTransforms.
The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.
', ], ], 'MaxHumanLabeledObjectCount' => [ 'base' => NULL, 'refs' => [ 'LabelingJobStoppingConditions$MaxHumanLabeledObjectCount' => 'The maximum number of objects that can be labeled by human workers.
', ], ], 'MaxNumberOfTests' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobResourceLimit$MaxNumberOfTests' => 'Defines the maximum number of load tests.
', ], ], 'MaxNumberOfTrainingJobs' => [ 'base' => NULL, 'refs' => [ 'ResourceLimits$MaxNumberOfTrainingJobs' => 'The maximum number of training jobs that a hyperparameter tuning job can launch.
', ], ], 'MaxNumberOfTrainingJobsNotImproving' => [ 'base' => NULL, 'refs' => [ 'BestObjectiveNotImproving$MaxNumberOfTrainingJobsNotImproving' => 'The number of training jobs that have failed to improve model performance by 1% or greater over prior training jobs as evaluated against an objective function.
', ], ], 'MaxParallelExecutionSteps' => [ 'base' => NULL, 'refs' => [ 'ParallelismConfiguration$MaxParallelExecutionSteps' => 'The max number of steps that can be executed in parallel.
', ], ], 'MaxParallelOfTests' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobResourceLimit$MaxParallelOfTests' => 'Defines the maximum number of parallel load tests.
', ], ], 'MaxParallelTrainingJobs' => [ 'base' => NULL, 'refs' => [ 'ResourceLimits$MaxParallelTrainingJobs' => 'The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.
', ], ], 'MaxPayloadInMB' => [ 'base' => NULL, 'refs' => [ 'CreateTransformJobRequest$MaxPayloadInMB' => 'The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB.
The value of MaxPayloadInMB cannot be greater than 100 MB. If you specify the MaxConcurrentTransforms parameter, the value of (MaxConcurrentTransforms * MaxPayloadInMB) also cannot exceed 100 MB.
For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, Amazon SageMaker built-in algorithms do not support HTTP chunked encoding.
The maximum payload size, in MB, used in the transform job.
', 'TransformJob$MaxPayloadInMB' => 'The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB. For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, SageMaker built-in algorithms do not support HTTP chunked encoding.
The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).
', ], ], 'MaxPendingTimeInSeconds' => [ 'base' => 'Maximum job scheduler pending time in seconds.', 'refs' => [ 'StoppingCondition$MaxPendingTimeInSeconds' => 'The maximum length of time, in seconds, that a training or compilation job can be pending before it is stopped.
', ], ], 'MaxPercentageOfInputDatasetLabeled' => [ 'base' => NULL, 'refs' => [ 'LabelingJobStoppingConditions$MaxPercentageOfInputDatasetLabeled' => 'The maximum number of input data objects that should be labeled.
', ], ], 'MaxResults' => [ 'base' => NULL, 'refs' => [ 'ListActionsRequest$MaxResults' => 'The maximum number of actions to return in the response. The default value is 10.
', 'ListAlgorithmsInput$MaxResults' => 'The maximum number of algorithms to return in the response.
', 'ListAliasesRequest$MaxResults' => 'The maximum number of aliases to return.
', 'ListAppImageConfigsRequest$MaxResults' => 'The total number of items to return in the response. If the total number of items available is more than the value specified, a NextToken is provided in the response. To resume pagination, provide the NextToken value in the as part of a subsequent call. The default value is 10.
This parameter defines the maximum number of results that can be return in a single response. The MaxResults parameter is an upper bound, not a target. If there are more results available than the value specified, a NextToken is provided in the response. The NextToken indicates that the user should get the next set of results by providing this token as a part of a subsequent call. The default value for MaxResults is 10.
The maximum number of artifacts to return in the response. The default value is 10.
', 'ListAssociationsRequest$MaxResults' => 'The maximum number of associations to return in the response. The default value is 10.
', 'ListClusterNodesRequest$MaxResults' => 'The maximum number of nodes to return in the response.
', 'ListClusterSchedulerConfigsRequest$MaxResults' => 'The maximum number of cluster policies to list.
', 'ListClustersRequest$MaxResults' => 'Set the maximum number of SageMaker HyperPod clusters to list.
', 'ListCodeRepositoriesInput$MaxResults' => 'The maximum number of Git repositories to return in the response.
', 'ListCompilationJobsRequest$MaxResults' => 'The maximum number of model compilation jobs to return in the response.
', 'ListComputeQuotasRequest$MaxResults' => 'The maximum number of compute allocation definitions to list.
', 'ListContextsRequest$MaxResults' => 'The maximum number of contexts to return in the response. The default value is 10.
', 'ListDataQualityJobDefinitionsRequest$MaxResults' => 'The maximum number of data quality monitoring job definitions to return in the response.
', 'ListDomainsRequest$MaxResults' => 'This parameter defines the maximum number of results that can be return in a single response. The MaxResults parameter is an upper bound, not a target. If there are more results available than the value specified, a NextToken is provided in the response. The NextToken indicates that the user should get the next set of results by providing this token as a part of a subsequent call. The default value for MaxResults is 10.
The maximum number of training jobs to return in the response.
', 'ListEndpointsInput$MaxResults' => 'The maximum number of endpoints to return in the response. This value defaults to 10.
', 'ListExperimentsRequest$MaxResults' => 'The maximum number of experiments to return in the response. The default value is 10.
', 'ListFlowDefinitionsRequest$MaxResults' => 'The total number of items to return. If the total number of available items is more than the value specified in MaxResults, then a NextToken will be provided in the output that you can use to resume pagination.
The maximum number of hub content versions to list.
', 'ListHubContentsRequest$MaxResults' => 'The maximum amount of hub content to list.
', 'ListHubsRequest$MaxResults' => 'The maximum number of hubs to list.
', 'ListHumanTaskUisRequest$MaxResults' => 'The total number of items to return. If the total number of available items is more than the value specified in MaxResults, then a NextToken will be provided in the output that you can use to resume pagination.
The maximum number of tuning jobs to return. The default value is 10.
', 'ListImageVersionsRequest$MaxResults' => 'The maximum number of versions to return in the response. The default value is 10.
', 'ListImagesRequest$MaxResults' => 'The maximum number of images to return in the response. The default value is 10.
', 'ListInferenceComponentsInput$MaxResults' => 'The maximum number of inference components to return in the response. This value defaults to 10.
', 'ListInferenceExperimentsRequest$MaxResults' => 'The maximum number of results to select.
', 'ListInferenceRecommendationsJobStepsRequest$MaxResults' => 'The maximum number of results to return.
', 'ListInferenceRecommendationsJobsRequest$MaxResults' => 'The maximum number of recommendations to return in the response.
', 'ListLabelingJobsForWorkteamRequest$MaxResults' => 'The maximum number of labeling jobs to return in each page of the response.
', 'ListLabelingJobsRequest$MaxResults' => 'The maximum number of labeling jobs to return in each page of the response.
', 'ListLineageGroupsRequest$MaxResults' => 'The maximum number of endpoints to return in the response. This value defaults to 10.
', 'ListMlflowTrackingServersRequest$MaxResults' => 'The maximum number of tracking servers to list.
', 'ListModelBiasJobDefinitionsRequest$MaxResults' => 'The maximum number of model bias jobs to return in the response. The default value is 10.
', 'ListModelCardExportJobsRequest$MaxResults' => 'The maximum number of model card export jobs to list.
', 'ListModelCardVersionsRequest$MaxResults' => 'The maximum number of model card versions to list.
', 'ListModelCardsRequest$MaxResults' => 'The maximum number of model cards to list.
', 'ListModelExplainabilityJobDefinitionsRequest$MaxResults' => 'The maximum number of jobs to return in the response. The default value is 10.
', 'ListModelMetadataRequest$MaxResults' => 'The maximum number of models to return in the response.
', 'ListModelPackageGroupsInput$MaxResults' => 'The maximum number of results to return in the response.
', 'ListModelPackagesInput$MaxResults' => 'The maximum number of model packages to return in the response.
', 'ListModelQualityJobDefinitionsRequest$MaxResults' => 'The maximum number of results to return in a call to ListModelQualityJobDefinitions.
The maximum number of models to return in the response.
', 'ListMonitoringAlertHistoryRequest$MaxResults' => 'The maximum number of results to display. The default is 100.
', 'ListMonitoringAlertsRequest$MaxResults' => 'The maximum number of results to display. The default is 100.
', 'ListMonitoringExecutionsRequest$MaxResults' => 'The maximum number of jobs to return in the response. The default value is 10.
', 'ListMonitoringSchedulesRequest$MaxResults' => 'The maximum number of jobs to return in the response. The default value is 10.
', 'ListNotebookInstanceLifecycleConfigsInput$MaxResults' => 'The maximum number of lifecycle configurations to return in the response.
', 'ListNotebookInstancesInput$MaxResults' => 'The maximum number of notebook instances to return.
', 'ListOptimizationJobsRequest$MaxResults' => 'The maximum number of optimization jobs to return in the response. The default is 50.
', 'ListPartnerAppsRequest$MaxResults' => 'This parameter defines the maximum number of results that can be returned in a single response. The MaxResults parameter is an upper bound, not a target. If there are more results available than the value specified, a NextToken is provided in the response. The NextToken indicates that the user should get the next set of results by providing this token as a part of a subsequent call. The default value for MaxResults is 10.
The maximum number of pipeline execution steps to return in the response.
', 'ListPipelineExecutionsRequest$MaxResults' => 'The maximum number of pipeline executions to return in the response.
', 'ListPipelineParametersForExecutionRequest$MaxResults' => 'The maximum number of parameters to return in the response.
', 'ListPipelinesRequest$MaxResults' => 'The maximum number of pipelines to return in the response.
', 'ListProcessingJobsRequest$MaxResults' => 'The maximum number of processing jobs to return in the response.
', 'ListProjectsInput$MaxResults' => 'The maximum number of projects to return in the response.
', 'ListResourceCatalogsRequest$MaxResults' => ' The maximum number of results returned by ListResourceCatalogs.
This parameter defines the maximum number of results that can be return in a single response. The MaxResults parameter is an upper bound, not a target. If there are more results available than the value specified, a NextToken is provided in the response. The NextToken indicates that the user should get the next set of results by providing this token as a part of a subsequent call. The default value for MaxResults is 10.
The total number of items to return in the response. If the total number of items available is more than the value specified, a NextToken is provided in the response. To resume pagination, provide the NextToken value in the as part of a subsequent call. The default value is 10.
The maximum number of work teams to return in each page of the response.
', 'ListTrainingJobsForHyperParameterTuningJobRequest$MaxResults' => 'The maximum number of training jobs to return. The default value is 10.
', 'ListTrainingJobsRequest$MaxResults' => 'The maximum number of training jobs to return in the response.
', 'ListTrainingPlansRequest$MaxResults' => 'The maximum number of results to return in the response.
', 'ListTransformJobsRequest$MaxResults' => 'The maximum number of transform jobs to return in the response. The default value is 10.
The maximum number of components to return in the response. The default value is 10.
', 'ListTrialsRequest$MaxResults' => 'The maximum number of trials to return in the response. The default value is 10.
', 'ListUserProfilesRequest$MaxResults' => 'This parameter defines the maximum number of results that can be return in a single response. The MaxResults parameter is an upper bound, not a target. If there are more results available than the value specified, a NextToken is provided in the response. The NextToken indicates that the user should get the next set of results by providing this token as a part of a subsequent call. The default value for MaxResults is 10.
The maximum number of workforces returned in the response.
', 'ListWorkteamsRequest$MaxResults' => 'The maximum number of work teams to return in each page of the response.
', 'SearchRequest$MaxResults' => 'The maximum number of results to return.
', ], ], 'MaxRuntimeInSeconds' => [ 'base' => NULL, 'refs' => [ 'StoppingCondition$MaxRuntimeInSeconds' => 'The maximum length of time, in seconds, that a training or compilation job can run before it is stopped.
For compilation jobs, if the job does not complete during this time, a TimeOut error is generated. We recommend starting with 900 seconds and increasing as necessary based on your model.
For all other jobs, if the job does not complete during this time, SageMaker ends the job. When RetryStrategy is specified in the job request, MaxRuntimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt. The default value is 1 day. The maximum value is 28 days.
The maximum time that a TrainingJob can run in total, including any time spent publishing metrics or archiving and uploading models after it has been stopped, is 30 days.
The maximum time, in seconds, that each training job executed inside hyperparameter tuning is allowed to run as part of a hyperparameter tuning job. For more information, see the StoppingCondition used by the CreateHyperParameterTuningJob action.
For job V2s (jobs created by calling CreateAutoMLJobV2), this field controls the runtime of the job candidate.
For TextGenerationJobConfig problem types, the maximum time defaults to 72 hours (259200 seconds).
', ], ], 'MaxWaitTimeInSeconds' => [ 'base' => NULL, 'refs' => [ 'StoppingCondition$MaxWaitTimeInSeconds' => 'The maximum length of time, in seconds, that a managed Spot training job has to complete. It is the amount of time spent waiting for Spot capacity plus the amount of time the job can run. It must be equal to or greater than MaxRuntimeInSeconds. If the job does not complete during this time, SageMaker ends the job.
When RetryStrategy is specified in the job request, MaxWaitTimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt.
Maximum execution timeout for the deployment. Note that the timeout value should be larger than the total waiting time specified in TerminationWaitInSeconds and WaitIntervalInSeconds.
The time limit for the total deployment. Exceeding this limit causes a timeout.
', ], ], 'MaximumRetryAttempts' => [ 'base' => NULL, 'refs' => [ 'RetryStrategy$MaximumRetryAttempts' => 'The number of times to retry the job. When the job is retried, it\'s SecondaryStatus is changed to STARTING.
The media type of the artifact, which indicates the type of data in the artifact file. The media type consists of a type and a subtype concatenated with a slash (/) character, for example, text/csv, image/jpeg, and s3/uri. The type specifies the category of the media. The subtype specifies the kind of data.
', ], ], 'MemberDefinition' => [ 'base' => 'Defines an Amazon Cognito or your own OIDC IdP user group that is part of a work team.
', 'refs' => [ 'MemberDefinitions$member' => NULL, ], ], 'MemberDefinitions' => [ 'base' => NULL, 'refs' => [ 'CreateWorkteamRequest$MemberDefinitions' => 'A list of MemberDefinition objects that contains objects that identify the workers that make up the work team.
Workforces can be created using Amazon Cognito or your own OIDC Identity Provider (IdP). For private workforces created using Amazon Cognito use CognitoMemberDefinition. For workforces created using your own OIDC identity provider (IdP) use OidcMemberDefinition. Do not provide input for both of these parameters in a single request.
For workforces created using Amazon Cognito, private work teams correspond to Amazon Cognito user groups within the user pool used to create a workforce. All of the CognitoMemberDefinition objects that make up the member definition must have the same ClientId and UserPool values. To add a Amazon Cognito user group to an existing worker pool, see Adding groups to a User Pool. For more information about user pools, see Amazon Cognito User Pools.
For workforces created using your own OIDC IdP, specify the user groups that you want to include in your private work team in OidcMemberDefinition by listing those groups in Groups.
A list of MemberDefinition objects that contains objects that identify the workers that make up the work team.
Workforces can be created using Amazon Cognito or your own OIDC Identity Provider (IdP). For private workforces created using Amazon Cognito use CognitoMemberDefinition. For workforces created using your own OIDC identity provider (IdP) use OidcMemberDefinition. You should not provide input for both of these parameters in a single request.
For workforces created using Amazon Cognito, private work teams correspond to Amazon Cognito user groups within the user pool used to create a workforce. All of the CognitoMemberDefinition objects that make up the member definition must have the same ClientId and UserPool values. To add a Amazon Cognito user group to an existing worker pool, see Adding groups to a User Pool. For more information about user pools, see Amazon Cognito User Pools.
For workforces created using your own OIDC IdP, specify the user groups that you want to include in your private work team in OidcMemberDefinition by listing those groups in Groups. Be aware that user groups that are already in the work team must also be listed in Groups when you make this request to remain on the work team. If you do not include these user groups, they will no longer be associated with the work team you update.
A list of MemberDefinition objects that contains objects that identify the workers that make up the work team.
Workforces can be created using Amazon Cognito or your own OIDC Identity Provider (IdP). For private workforces created using Amazon Cognito use CognitoMemberDefinition. For workforces created using your own OIDC identity provider (IdP) use OidcMemberDefinition.
The minimum MB of memory to allocate to run a model that you assign to an inference component.
', 'InferenceComponentComputeResourceRequirements$MaxMemoryRequiredInMb' => 'The maximum MB of memory to allocate to run a model that you assign to an inference component.
', ], ], 'MetadataProperties' => [ 'base' => 'Metadata properties of the tracking entity, trial, or trial component.
', 'refs' => [ 'CreateActionRequest$MetadataProperties' => NULL, 'CreateArtifactRequest$MetadataProperties' => NULL, 'CreateModelPackageInput$MetadataProperties' => NULL, 'CreateTrialComponentRequest$MetadataProperties' => NULL, 'CreateTrialRequest$MetadataProperties' => NULL, 'DescribeActionResponse$MetadataProperties' => NULL, 'DescribeArtifactResponse$MetadataProperties' => NULL, 'DescribeModelPackageOutput$MetadataProperties' => NULL, 'DescribeTrialComponentResponse$MetadataProperties' => NULL, 'DescribeTrialResponse$MetadataProperties' => NULL, 'ModelPackage$MetadataProperties' => 'Metadata properties of the tracking entity, trial, or trial component.
', 'Trial$MetadataProperties' => NULL, 'TrialComponent$MetadataProperties' => NULL, ], ], 'MetadataPropertyValue' => [ 'base' => NULL, 'refs' => [ 'MetadataProperties$CommitId' => 'The commit ID.
', 'MetadataProperties$Repository' => 'The repository.
', 'MetadataProperties$GeneratedBy' => 'The entity this entity was generated by.
', 'MetadataProperties$ProjectId' => 'The project ID.
', ], ], 'MetricData' => [ 'base' => 'The name, value, and date and time of a metric that was emitted to Amazon CloudWatch.
', 'refs' => [ 'FinalMetricDataList$member' => NULL, ], ], 'MetricDataList' => [ 'base' => NULL, 'refs' => [ 'CandidateProperties$CandidateMetrics' => 'Information about the candidate metrics for an AutoML job.
', ], ], 'MetricDatum' => [ 'base' => 'Information about the metric for a candidate produced by an AutoML job.
', 'refs' => [ 'MetricDataList$member' => NULL, ], ], 'MetricDefinition' => [ 'base' => 'Specifies a metric that the training algorithm writes to stderr or stdout. You can view these logs to understand how your training job performs and check for any errors encountered during training. SageMaker hyperparameter tuning captures all defined metrics. Specify one of the defined metrics to use as an objective metric using the TuningObjective parameter in the HyperParameterTrainingJobDefinition API to evaluate job performance during hyperparameter tuning.
A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. SageMaker publishes each metric to Amazon CloudWatch.
', 'HyperParameterAlgorithmSpecification$MetricDefinitions' => 'An array of MetricDefinition objects that specify the metrics that the algorithm emits.
', 'TrainingSpecification$MetricDefinitions' => 'A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
The name of the objective metric. For SageMaker built-in algorithms, metrics are defined per algorithm. See the metrics for XGBoost as an example. You can also use a custom algorithm for training and define your own metrics. For more information, see Define metrics and environment variables.
', 'HyperParameterTuningJobObjective$MetricName' => 'The name of the metric to use for the objective metric.
', 'MetricData$MetricName' => 'The name of the metric.
', 'MetricDefinition$Name' => 'The name of the metric.
', 'TrialComponentMetricSummary$MetricName' => 'The name of the metric.
', ], ], 'MetricRegex' => [ 'base' => NULL, 'refs' => [ 'MetricDefinition$Regex' => 'A regular expression that searches the output of a training job and gets the value of the metric. For more information about using regular expressions to define metrics, see Defining metrics and environment variables.
', ], ], 'MetricSetSource' => [ 'base' => NULL, 'refs' => [ 'MetricDatum$Set' => 'The dataset split from which the AutoML job produced the metric.
', ], ], 'MetricSpecification' => [ 'base' => 'An object containing information about a metric.
', 'refs' => [ 'TargetTrackingScalingPolicyConfiguration$MetricSpecification' => 'An object containing information about a metric.
', ], ], 'MetricValue' => [ 'base' => NULL, 'refs' => [ 'FinalAutoMLJobObjectiveMetric$Value' => 'The value of the metric with the best result.
', 'FinalHyperParameterTuningJobObjectiveMetric$Value' => 'The value of the objective metric.
', ], ], 'MetricsSource' => [ 'base' => 'Details about the metrics source.
', 'refs' => [ 'Bias$Report' => 'The bias report for a model
', 'Bias$PreTrainingReport' => 'The pre-training bias report for a model.
', 'Bias$PostTrainingReport' => 'The post-training bias report for a model.
', 'DriftCheckBias$PreTrainingConstraints' => 'The pre-training constraints.
', 'DriftCheckBias$PostTrainingConstraints' => 'The post-training constraints.
', 'DriftCheckExplainability$Constraints' => 'The drift check explainability constraints.
', 'DriftCheckModelDataQuality$Statistics' => 'The drift check model data quality statistics.
', 'DriftCheckModelDataQuality$Constraints' => 'The drift check model data quality constraints.
', 'DriftCheckModelQuality$Statistics' => 'The drift check model quality statistics.
', 'DriftCheckModelQuality$Constraints' => 'The drift check model quality constraints.
', 'Explainability$Report' => 'The explainability report for a model.
', 'ModelDataQuality$Statistics' => 'Data quality statistics for a model.
', 'ModelDataQuality$Constraints' => 'Data quality constraints for a model.
', 'ModelQuality$Statistics' => 'Model quality statistics.
', 'ModelQuality$Constraints' => 'Model quality constraints.
', ], ], 'MinimumInstanceMetadataServiceVersion' => [ 'base' => NULL, 'refs' => [ 'InstanceMetadataServiceConfiguration$MinimumInstanceMetadataServiceVersion' => 'Indicates the minimum IMDS version that the notebook instance supports. When passed as part of CreateNotebookInstance, if no value is selected, then it defaults to IMDSv1. This means that both IMDSv1 and IMDSv2 are supported. If passed as part of UpdateNotebookInstance, there is no default.
The version of MLflow that the tracking server uses. To see which MLflow versions are available to use, see How it works.
', 'DescribeMlflowTrackingServerResponse$MlflowVersion' => 'The MLflow version used for the described tracking server.
', 'ListMlflowTrackingServersRequest$MlflowVersion' => 'Filter for tracking servers using the specified MLflow version.
', 'TrackingServerSummary$MlflowVersion' => 'The MLflow version used for a listed tracking server.
', ], ], 'Model' => [ 'base' => 'The properties of a model as returned by the Search API.
', 'refs' => [ 'ModelDashboardModel$Model' => 'A model displayed in the Model Dashboard.
', ], ], 'ModelAccessConfig' => [ 'base' => 'The access configuration file to control access to the ML model. You can explicitly accept the model end-user license agreement (EULA) within the ModelAccessConfig.
If you are a Jumpstart user, see the End-user license agreements section for more details on accepting the EULA.
If you are an AutoML user, see the Optional Parameters section of Create an AutoML job to fine-tune text generation models using the API for details on How to set the EULA acceptance when fine-tuning a model using the AutoML API.
Specifies the access configuration file for the ML model. You can explicitly accept the model end-user license agreement (EULA) within the ModelAccessConfig. You are responsible for reviewing and complying with any applicable license terms and making sure they are acceptable for your use case before downloading or using a model.
The approval status of the model.
', 'CreateModelPackageInput$ModelApprovalStatus' => 'Whether the model is approved for deployment.
This parameter is optional for versioned models, and does not apply to unversioned models.
For versioned models, the value of this parameter must be set to Approved to deploy the model.
The approval status of the model package.
', 'ListModelPackagesInput$ModelApprovalStatus' => 'A filter that returns only the model packages with the specified approval status.
', 'ModelPackage$ModelApprovalStatus' => 'The approval status of the model. This can be one of the following values.
APPROVED - The model is approved
REJECTED - The model is rejected.
PENDING_MANUAL_APPROVAL - The model is waiting for manual approval.
The approval status of the model. This can be one of the following values.
APPROVED - The model is approved
REJECTED - The model is rejected.
PENDING_MANUAL_APPROVAL - The model is waiting for manual approval.
The approval status of the model.
', ], ], 'ModelArn' => [ 'base' => NULL, 'refs' => [ 'CreateModelOutput$ModelArn' => 'The ARN of the model created in SageMaker.
', 'DescribeModelOutput$ModelArn' => 'The Amazon Resource Name (ARN) of the model.
', 'LabelingJobAlgorithmsConfig$InitialActiveLearningModelArn' => 'At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here.
', 'LabelingJobOutput$FinalActiveLearningModelArn' => 'The Amazon Resource Name (ARN) for the most recent SageMaker model trained as part of automated data labeling.
', 'Model$ModelArn' => 'The Amazon Resource Name (ARN) of the model.
', 'ModelSummary$ModelArn' => 'The Amazon Resource Name (ARN) of the model.
', ], ], 'ModelArtifacts' => [ 'base' => 'Provides information about the location that is configured for storing model artifacts.
Model artifacts are outputs that result from training a model. They typically consist of trained parameters, a model definition that describes how to compute inferences, and other metadata. A SageMaker container stores your trained model artifacts in the /opt/ml/model directory. After training has completed, by default, these artifacts are uploaded to your Amazon S3 bucket as compressed files.
Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the compilation job.
', 'DescribeTrainingJobResponse$ModelArtifacts' => 'Information about the Amazon S3 location that is configured for storing model artifacts.
', 'TrainingJob$ModelArtifacts' => 'Information about the Amazon S3 location that is configured for storing model artifacts.
', ], ], 'ModelBiasAppSpecification' => [ 'base' => 'Docker container image configuration object for the model bias job.
', 'refs' => [ 'CreateModelBiasJobDefinitionRequest$ModelBiasAppSpecification' => 'Configures the model bias job to run a specified Docker container image.
', 'DescribeModelBiasJobDefinitionResponse$ModelBiasAppSpecification' => 'Configures the model bias job to run a specified Docker container image.
', ], ], 'ModelBiasBaselineConfig' => [ 'base' => 'The configuration for a baseline model bias job.
', 'refs' => [ 'CreateModelBiasJobDefinitionRequest$ModelBiasBaselineConfig' => 'The baseline configuration for a model bias job.
', 'DescribeModelBiasJobDefinitionResponse$ModelBiasBaselineConfig' => 'The baseline configuration for a model bias job.
', ], ], 'ModelBiasJobInput' => [ 'base' => 'Inputs for the model bias job.
', 'refs' => [ 'CreateModelBiasJobDefinitionRequest$ModelBiasJobInput' => 'Inputs for the model bias job.
', 'DescribeModelBiasJobDefinitionResponse$ModelBiasJobInput' => 'Inputs for the model bias job.
', ], ], 'ModelCacheSetting' => [ 'base' => NULL, 'refs' => [ 'MultiModelConfig$ModelCacheSetting' => 'Whether to cache models for a multi-model endpoint. By default, multi-model endpoints cache models so that a model does not have to be loaded into memory each time it is invoked. Some use cases do not benefit from model caching. For example, if an endpoint hosts a large number of models that are each invoked infrequently, the endpoint might perform better if you disable model caching. To disable model caching, set the value of this parameter to Disabled.
An Amazon SageMaker Model Card.
', 'refs' => [ 'SearchRecord$ModelCard' => 'An Amazon SageMaker Model Card that documents details about a machine learning model.
', ], ], 'ModelCardArn' => [ 'base' => NULL, 'refs' => [ 'CreateModelCardResponse$ModelCardArn' => 'The Amazon Resource Name (ARN) of the successfully created model card.
', 'DescribeModelCardResponse$ModelCardArn' => 'The Amazon Resource Name (ARN) of the model card.
', 'ModelCard$ModelCardArn' => 'The Amazon Resource Name (ARN) of the model card.
', 'ModelCardSummary$ModelCardArn' => 'The Amazon Resource Name (ARN) of the model card.
', 'ModelCardVersionSummary$ModelCardArn' => 'The Amazon Resource Name (ARN) of the model card.
', 'ModelDashboardModelCard$ModelCardArn' => 'The Amazon Resource Name (ARN) for a model card.
', 'UpdateModelCardResponse$ModelCardArn' => 'The Amazon Resource Name (ARN) of the updated model card.
', ], ], 'ModelCardContent' => [ 'base' => NULL, 'refs' => [ 'CreateModelCardRequest$Content' => 'The content of the model card. Content must be in model card JSON schema and provided as a string.
', 'DescribeModelCardResponse$Content' => 'The content of the model card.
', 'ModelCard$Content' => 'The content of the model card. Content uses the model card JSON schema and provided as a string.
', 'ModelPackageModelCard$ModelCardContent' => 'The content of the model card. The content must follow the schema described in Model Package Model Card Schema.
', 'UpdateModelCardRequest$Content' => 'The updated model card content. Content must be in model card JSON schema and provided as a string.
When updating model card content, be sure to include the full content and not just updated content.
', ], ], 'ModelCardExportArtifacts' => [ 'base' => 'The artifacts of the model card export job.
', 'refs' => [ 'DescribeModelCardExportJobResponse$ExportArtifacts' => 'The exported model card artifacts.
', ], ], 'ModelCardExportJobArn' => [ 'base' => NULL, 'refs' => [ 'CreateModelCardExportJobResponse$ModelCardExportJobArn' => 'The Amazon Resource Name (ARN) of the model card export job.
', 'DescribeModelCardExportJobRequest$ModelCardExportJobArn' => 'The Amazon Resource Name (ARN) of the model card export job to describe.
', 'DescribeModelCardExportJobResponse$ModelCardExportJobArn' => 'The Amazon Resource Name (ARN) of the model card export job.
', 'ModelCardExportJobSummary$ModelCardExportJobArn' => 'The Amazon Resource Name (ARN) of the model card export job.
', ], ], 'ModelCardExportJobSortBy' => [ 'base' => 'Attribute by which to sort returned export jobs.', 'refs' => [ 'ListModelCardExportJobsRequest$SortBy' => 'Sort model card export jobs by either name or creation time. Sorts by creation time by default.
', ], ], 'ModelCardExportJobSortOrder' => [ 'base' => NULL, 'refs' => [ 'ListModelCardExportJobsRequest$SortOrder' => 'Sort model card export jobs by ascending or descending order.
', ], ], 'ModelCardExportJobStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeModelCardExportJobResponse$Status' => 'The completion status of the model card export job.
InProgress: The model card export job is in progress.
Completed: The model card export job is complete.
Failed: The model card export job failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeModelCardExportJob call.
Only list model card export jobs with the specified status.
', 'ModelCardExportJobSummary$Status' => 'The completion status of the model card export job.
', ], ], 'ModelCardExportJobSummary' => [ 'base' => 'The summary of the Amazon SageMaker Model Card export job.
', 'refs' => [ 'ModelCardExportJobSummaryList$member' => NULL, ], ], 'ModelCardExportJobSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListModelCardExportJobsResponse$ModelCardExportJobSummaries' => 'The summaries of the listed model card export jobs.
', ], ], 'ModelCardExportOutputConfig' => [ 'base' => 'Configure the export output details for an Amazon SageMaker Model Card.
', 'refs' => [ 'CreateModelCardExportJobRequest$OutputConfig' => 'The model card output configuration that specifies the Amazon S3 path for exporting.
', 'DescribeModelCardExportJobResponse$OutputConfig' => 'The export output details for the model card.
', ], ], 'ModelCardNameOrArn' => [ 'base' => NULL, 'refs' => [ 'CreateModelCardExportJobRequest$ModelCardName' => 'The name or Amazon Resource Name (ARN) of the model card to export.
', 'DescribeModelCardRequest$ModelCardName' => 'The name or Amazon Resource Name (ARN) of the model card to describe.
', 'ListModelCardVersionsRequest$ModelCardName' => 'List model card versions for the model card with the specified name or Amazon Resource Name (ARN).
', 'UpdateModelCardRequest$ModelCardName' => 'The name or Amazon Resource Name (ARN) of the model card to update.
', ], ], 'ModelCardProcessingStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeModelCardResponse$ModelCardProcessingStatus' => 'The processing status of model card deletion. The ModelCardProcessingStatus updates throughout the different deletion steps.
DeletePending: Model card deletion request received.
DeleteInProgress: Model card deletion is in progress.
ContentDeleted: Deleted model card content.
ExportJobsDeleted: Deleted all export jobs associated with the model card.
DeleteCompleted: Successfully deleted the model card.
DeleteFailed: The model card failed to delete.
Configure the security settings to protect model card data.
', 'refs' => [ 'CreateModelCardRequest$SecurityConfig' => 'An optional Key Management Service key to encrypt, decrypt, and re-encrypt model card content for regulated workloads with highly sensitive data.
', 'DescribeModelCardResponse$SecurityConfig' => 'The security configuration used to protect model card content.
', 'ModelCard$SecurityConfig' => 'The security configuration used to protect model card data.
', 'ModelDashboardModelCard$SecurityConfig' => 'The KMS Key ID (KMSKeyId) for encryption of model card information.
Sort model cards by either name or creation time. Sorts by creation time by default.
', ], ], 'ModelCardSortOrder' => [ 'base' => NULL, 'refs' => [ 'ListModelCardVersionsRequest$SortOrder' => 'Sort model card versions by ascending or descending order.
', 'ListModelCardsRequest$SortOrder' => 'Sort model cards by ascending or descending order.
', ], ], 'ModelCardStatus' => [ 'base' => NULL, 'refs' => [ 'CreateModelCardRequest$ModelCardStatus' => 'The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft: The model card is a work in progress.
PendingReview: The model card is pending review.
Approved: The model card is approved.
Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.
The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft: The model card is a work in progress.
PendingReview: The model card is pending review.
Approved: The model card is approved.
Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.
Only list model card versions with the specified approval status.
', 'ListModelCardsRequest$ModelCardStatus' => 'Only list model cards with the specified approval status.
', 'ModelCard$ModelCardStatus' => 'The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft: The model card is a work in progress.
PendingReview: The model card is pending review.
Approved: The model card is approved.
Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.
The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft: The model card is a work in progress.
PendingReview: The model card is pending review.
Approved: The model card is approved.
Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.
The approval status of the model card version within your organization. Different organizations might have different criteria for model card review and approval.
Draft: The model card is a work in progress.
PendingReview: The model card is pending review.
Approved: The model card is approved.
Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.
The model card status.
', 'ModelPackageModelCard$ModelCardStatus' => 'The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft: The model card is a work in progress.
PendingReview: The model card is pending review.
Approved: The model card is approved.
Archived: The model card is archived. No more updates can be made to the model card content. If you try to update the model card content, you will receive the message Model Card is in Archived state.
The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft: The model card is a work in progress.
PendingReview: The model card is pending review.
Approved: The model card is approved.
Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.
A summary of the model card.
', 'refs' => [ 'ModelCardSummaryList$member' => NULL, ], ], 'ModelCardSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListModelCardsResponse$ModelCardSummaries' => 'The summaries of the listed model cards.
', ], ], 'ModelCardVersionSortBy' => [ 'base' => NULL, 'refs' => [ 'ListModelCardVersionsRequest$SortBy' => 'Sort listed model card versions by version. Sorts by version by default.
', ], ], 'ModelCardVersionSummary' => [ 'base' => 'A summary of a specific version of the model card.
', 'refs' => [ 'ModelCardVersionSummaryList$member' => NULL, ], ], 'ModelCardVersionSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListModelCardVersionsResponse$ModelCardVersionSummaryList' => 'The summaries of the listed versions of the model card.
', ], ], 'ModelClientConfig' => [ 'base' => 'Configures the timeout and maximum number of retries for processing a transform job invocation.
', 'refs' => [ 'CreateTransformJobRequest$ModelClientConfig' => 'Configures the timeout and maximum number of retries for processing a transform job invocation.
', 'DescribeTransformJobResponse$ModelClientConfig' => 'The timeout and maximum number of retries for processing a transform job invocation.
', 'TransformJob$ModelClientConfig' => NULL, ], ], 'ModelCompilationConfig' => [ 'base' => 'Settings for the model compilation technique that\'s applied by a model optimization job.
', 'refs' => [ 'OptimizationConfig$ModelCompilationConfig' => 'Settings for the model compilation technique that\'s applied by a model optimization job.
', ], ], 'ModelCompressionType' => [ 'base' => NULL, 'refs' => [ 'S3ModelDataSource$CompressionType' => 'Specifies how the ML model data is prepared.
If you choose Gzip and choose S3Object as the value of S3DataType, S3Uri identifies an object that is a gzip-compressed TAR archive. SageMaker will attempt to decompress and untar the object during model deployment.
If you choose None and chooose S3Object as the value of S3DataType, S3Uri identifies an object that represents an uncompressed ML model to deploy.
If you choose None and choose S3Prefix as the value of S3DataType, S3Uri identifies a key name prefix, under which all objects represents the uncompressed ML model to deploy.
If you choose None, then SageMaker will follow rules below when creating model data files under /opt/ml/model directory for use by your inference code:
If you choose S3Object as the value of S3DataType, then SageMaker will split the key of the S3 object referenced by S3Uri by slash (/), and use the last part as the filename of the file holding the content of the S3 object.
If you choose S3Prefix as the value of S3DataType, then for each S3 object under the key name pefix referenced by S3Uri, SageMaker will trim its key by the prefix, and use the remainder as the path (relative to /opt/ml/model) of the file holding the content of the S3 object. SageMaker will split the remainder by slash (/), using intermediate parts as directory names and the last part as filename of the file holding the content of the S3 object.
Do not use any of the following as file names or directory names:
An empty or blank string
A string which contains null bytes
A string longer than 255 bytes
A single dot (.)
A double dot (..)
Ambiguous file names will result in model deployment failure. For example, if your uncompressed ML model consists of two S3 objects s3://mybucket/model/weights and s3://mybucket/model/weights/part1 and you specify s3://mybucket/model/ as the value of S3Uri and S3Prefix as the value of S3DataType, then it will result in name clash between /opt/ml/model/weights (a regular file) and /opt/ml/model/weights/ (a directory).
Do not organize the model artifacts in S3 console using folders. When you create a folder in S3 console, S3 creates a 0-byte object with a key set to the folder name you provide. They key of the 0-byte object ends with a slash (/) which violates SageMaker restrictions on model artifact file names, leading to model deployment failure.
Defines the model configuration. Includes the specification name and environment parameters.
', 'refs' => [ 'InferenceRecommendation$ModelConfiguration' => 'Defines the model configuration.
', 'RecommendationJobInferenceBenchmark$ModelConfiguration' => NULL, ], ], 'ModelDashboardEndpoint' => [ 'base' => 'An endpoint that hosts a model displayed in the Amazon SageMaker Model Dashboard.
', 'refs' => [ 'ModelDashboardEndpoints$member' => NULL, ], ], 'ModelDashboardEndpoints' => [ 'base' => NULL, 'refs' => [ 'ModelDashboardModel$Endpoints' => 'The endpoints that host a model.
', ], ], 'ModelDashboardIndicatorAction' => [ 'base' => 'An alert action taken to light up an icon on the Amazon SageMaker Model Dashboard when an alert goes into InAlert status.
An alert action taken to light up an icon on the Model Dashboard when an alert goes into InAlert status.
A model displayed in the Amazon SageMaker Model Dashboard.
', 'refs' => [ 'SearchRecord$Model' => NULL, ], ], 'ModelDashboardModelCard' => [ 'base' => 'The model card for a model displayed in the Amazon SageMaker Model Dashboard.
', 'refs' => [ 'ModelDashboardModel$ModelCard' => 'The model card for a model.
', ], ], 'ModelDashboardMonitoringSchedule' => [ 'base' => 'A monitoring schedule for a model displayed in the Amazon SageMaker Model Dashboard.
', 'refs' => [ 'ModelDashboardMonitoringSchedules$member' => NULL, ], ], 'ModelDashboardMonitoringSchedules' => [ 'base' => NULL, 'refs' => [ 'ModelDashboardModel$MonitoringSchedules' => 'The monitoring schedules for a model.
', ], ], 'ModelDataQuality' => [ 'base' => 'Data quality constraints and statistics for a model.
', 'refs' => [ 'ModelMetrics$ModelDataQuality' => 'Metrics that measure the quality of the input data for a model.
', ], ], 'ModelDataSource' => [ 'base' => 'Specifies the location of ML model data to deploy. If specified, you must specify one and only one of the available data sources.
', 'refs' => [ 'ContainerDefinition$ModelDataSource' => 'Specifies the location of ML model data to deploy.
Currently you cannot use ModelDataSource in conjunction with SageMaker batch transform, SageMaker serverless endpoints, SageMaker multi-model endpoints, and SageMaker Marketplace.
Specifies the location of ML model data to deploy during endpoint creation.
', 'SourceAlgorithm$ModelDataSource' => 'Specifies the location of ML model data to deploy during endpoint creation.
', ], ], 'ModelDeployConfig' => [ 'base' => 'Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
', 'refs' => [ 'CreateAutoMLJobRequest$ModelDeployConfig' => 'Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
', 'CreateAutoMLJobV2Request$ModelDeployConfig' => 'Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
', 'DescribeAutoMLJobResponse$ModelDeployConfig' => 'Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.
', 'DescribeAutoMLJobV2Response$ModelDeployConfig' => 'Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.
', ], ], 'ModelDeployResult' => [ 'base' => 'Provides information about the endpoint of the model deployment.
', 'refs' => [ 'DescribeAutoMLJobResponse$ModelDeployResult' => 'Provides information about endpoint for the model deployment.
', 'DescribeAutoMLJobV2Response$ModelDeployResult' => 'Provides information about endpoint for the model deployment.
', ], ], 'ModelDigests' => [ 'base' => 'Provides information to verify the integrity of stored model artifacts.
', 'refs' => [ 'DescribeCompilationJobResponse$ModelDigests' => 'Provides a BLAKE2 hash value that identifies the compiled model artifacts in Amazon S3.
', ], ], 'ModelExplainabilityAppSpecification' => [ 'base' => 'Docker container image configuration object for the model explainability job.
', 'refs' => [ 'CreateModelExplainabilityJobDefinitionRequest$ModelExplainabilityAppSpecification' => 'Configures the model explainability job to run a specified Docker container image.
', 'DescribeModelExplainabilityJobDefinitionResponse$ModelExplainabilityAppSpecification' => 'Configures the model explainability job to run a specified Docker container image.
', ], ], 'ModelExplainabilityBaselineConfig' => [ 'base' => 'The configuration for a baseline model explainability job.
', 'refs' => [ 'CreateModelExplainabilityJobDefinitionRequest$ModelExplainabilityBaselineConfig' => 'The baseline configuration for a model explainability job.
', 'DescribeModelExplainabilityJobDefinitionResponse$ModelExplainabilityBaselineConfig' => 'The baseline configuration for a model explainability job.
', ], ], 'ModelExplainabilityJobInput' => [ 'base' => 'Inputs for the model explainability job.
', 'refs' => [ 'CreateModelExplainabilityJobDefinitionRequest$ModelExplainabilityJobInput' => 'Inputs for the model explainability job.
', 'DescribeModelExplainabilityJobDefinitionResponse$ModelExplainabilityJobInput' => 'Inputs for the model explainability job.
', ], ], 'ModelInfrastructureConfig' => [ 'base' => 'The configuration for the infrastructure that the model will be deployed to.
', 'refs' => [ 'ModelVariantConfig$InfrastructureConfig' => 'The configuration for the infrastructure that the model will be deployed to.
', 'ModelVariantConfigSummary$InfrastructureConfig' => 'The configuration of the infrastructure that the model has been deployed to.
', ], ], 'ModelInfrastructureType' => [ 'base' => NULL, 'refs' => [ 'ModelInfrastructureConfig$InfrastructureType' => 'The inference option to which to deploy your model. Possible values are the following:
RealTime: Deploy to real-time inference.
Input object for the model.
', 'refs' => [ 'ModelPackageContainerDefinition$ModelInput' => 'A structure with Model Input details.
', ], ], 'ModelInsightsLocation' => [ 'base' => NULL, 'refs' => [ 'CandidateArtifactLocations$ModelInsights' => 'The Amazon S3 prefix to the model insight artifacts generated for the AutoML candidate.
', ], ], 'ModelLatencyThreshold' => [ 'base' => 'The model latency threshold.
', 'refs' => [ 'ModelLatencyThresholds$member' => NULL, ], ], 'ModelLatencyThresholds' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobStoppingConditions$ModelLatencyThresholds' => 'The interval of time taken by a model to respond as viewed from SageMaker. The interval includes the local communication time taken to send the request and to fetch the response from the container of a model and the time taken to complete the inference in the container.
', ], ], 'ModelLifeCycle' => [ 'base' => 'A structure describing the current state of the model in its life cycle.
', 'refs' => [ 'CreateModelPackageInput$ModelLifeCycle' => 'A structure describing the current state of the model in its life cycle.
', 'DescribeModelPackageOutput$ModelLifeCycle' => 'A structure describing the current state of the model in its life cycle.
', 'ModelPackage$ModelLifeCycle' => 'A structure describing the current state of the model in its life cycle.
', 'UpdateModelPackageInput$ModelLifeCycle' => 'A structure describing the current state of the model in its life cycle.
', ], ], 'ModelMetadataFilter' => [ 'base' => 'Part of the search expression. You can specify the name and value (domain, task, framework, framework version, task, and model).
', 'refs' => [ 'ModelMetadataFilters$member' => NULL, ], ], 'ModelMetadataFilterType' => [ 'base' => NULL, 'refs' => [ 'ModelMetadataFilter$Name' => 'The name of the of the model to filter by.
', ], ], 'ModelMetadataFilters' => [ 'base' => NULL, 'refs' => [ 'ModelMetadataSearchExpression$Filters' => 'A list of filter objects.
', ], ], 'ModelMetadataSearchExpression' => [ 'base' => 'One or more filters that searches for the specified resource or resources in a search. All resource objects that satisfy the expression\'s condition are included in the search results
', 'refs' => [ 'ListModelMetadataRequest$SearchExpression' => 'One or more filters that searches for the specified resource or resources in a search. All resource objects that satisfy the expression\'s condition are included in the search results. Specify the Framework, FrameworkVersion, Domain or Task to filter supported. Filter names and values are case-sensitive.
', ], ], 'ModelMetadataSummaries' => [ 'base' => NULL, 'refs' => [ 'ListModelMetadataResponse$ModelMetadataSummaries' => 'A structure that holds model metadata.
', ], ], 'ModelMetadataSummary' => [ 'base' => 'A summary of the model metadata.
', 'refs' => [ 'ModelMetadataSummaries$member' => NULL, ], ], 'ModelMetrics' => [ 'base' => 'Contains metrics captured from a model.
', 'refs' => [ 'CreateModelPackageInput$ModelMetrics' => 'A structure that contains model metrics reports.
', 'DescribeModelPackageOutput$ModelMetrics' => 'Metrics for the model.
', 'ModelPackage$ModelMetrics' => 'Metrics for the model.
', ], ], 'ModelName' => [ 'base' => NULL, 'refs' => [ 'CreateModelInput$ModelName' => 'The name of the new model.
', 'CreateTransformJobRequest$ModelName' => 'The name of the model that you want to use for the transform job. ModelName must be the name of an existing Amazon SageMaker model within an Amazon Web Services Region in an Amazon Web Services account.
The name of the model to delete.
', 'DescribeModelInput$ModelName' => 'The name of the model.
', 'DescribeModelOutput$ModelName' => 'Name of the SageMaker model.
', 'DescribeTransformJobResponse$ModelName' => 'The name of the model used in the transform job.
', 'InferenceComponentSpecification$ModelName' => 'The name of an existing SageMaker AI model object in your account that you want to deploy with the inference component.
', 'InferenceComponentSpecificationSummary$ModelName' => 'The name of the SageMaker AI model object that is deployed with the inference component.
', 'InferenceRecommendationsJob$ModelName' => 'The name of the created model.
', 'ListInferenceRecommendationsJobsRequest$ModelNameEquals' => 'A filter that returns only jobs that were created for this model.
', 'Model$ModelName' => 'The name of the model.
', 'ModelSummary$ModelName' => 'The name of the model that you want a summary for.
', 'ModelVariantConfig$ModelName' => 'The name of the Amazon SageMaker Model entity.
', 'ModelVariantConfigSummary$ModelName' => 'The name of the Amazon SageMaker Model entity.
', 'ProductionVariant$ModelName' => 'The name of the model that you want to host. This is the name that you specified when creating the model.
', 'RecommendationJobInputConfig$ModelName' => 'The name of the created model.
', 'TransformJob$ModelName' => 'The name of the model associated with the transform job.
', ], ], 'ModelNameContains' => [ 'base' => NULL, 'refs' => [ 'ListModelsInput$NameContains' => 'A string in the model name. This filter returns only models whose name contains the specified string.
', ], ], 'ModelPackage' => [ 'base' => 'A versioned model that can be deployed for SageMaker inference.
', 'refs' => [ 'SearchRecord$ModelPackage' => NULL, ], ], 'ModelPackageArn' => [ 'base' => NULL, 'refs' => [ 'BatchDescribeModelPackageErrorMap$key' => NULL, 'BatchDescribeModelPackageSummary$ModelPackageArn' => 'The Amazon Resource Name (ARN) of the model package.
', 'CreateCompilationJobRequest$ModelPackageVersionArn' => 'The Amazon Resource Name (ARN) of a versioned model package. Provide either a ModelPackageVersionArn or an InputConfig object in the request syntax. The presence of both objects in the CreateCompilationJob request will return an exception.
The Amazon Resource Name (ARN) of the new model package.
', 'DescribeCompilationJobResponse$ModelPackageVersionArn' => 'The Amazon Resource Name (ARN) of the versioned model package that was provided to SageMaker Neo when you initiated a compilation job.
', 'DescribeModelPackageOutput$ModelPackageArn' => 'The Amazon Resource Name (ARN) of the model package.
', 'InferenceRecommendationsJob$ModelPackageVersionArn' => 'The Amazon Resource Name (ARN) of a versioned model package.
', 'ListInferenceRecommendationsJobsRequest$ModelPackageVersionArnEquals' => 'A filter that returns only jobs that were created for this versioned model package.
', 'ModelPackage$ModelPackageArn' => 'The Amazon Resource Name (ARN) of the model package.
', 'ModelPackageArnList$member' => NULL, 'ModelPackageSummaries$key' => NULL, 'ModelPackageSummary$ModelPackageArn' => 'The Amazon Resource Name (ARN) of the model package.
', 'RecommendationJobInputConfig$ModelPackageVersionArn' => 'The Amazon Resource Name (ARN) of a versioned model package.
', 'UpdateModelPackageInput$ModelPackageArn' => 'The Amazon Resource Name (ARN) of the model package.
', 'UpdateModelPackageOutput$ModelPackageArn' => 'The Amazon Resource Name (ARN) of the model.
', ], ], 'ModelPackageArnList' => [ 'base' => NULL, 'refs' => [ 'BatchDescribeModelPackageInput$ModelPackageArnList' => 'The list of Amazon Resource Name (ARN) of the model package groups.
', ], ], 'ModelPackageContainerDefinition' => [ 'base' => 'Describes the Docker container for the model package.
', 'refs' => [ 'ModelPackageContainerDefinitionList$member' => NULL, ], ], 'ModelPackageContainerDefinitionList' => [ 'base' => NULL, 'refs' => [ 'AdditionalInferenceSpecificationDefinition$Containers' => 'The Amazon ECR registry path of the Docker image that contains the inference code.
', 'InferenceSpecification$Containers' => 'The Amazon ECR registry path of the Docker image that contains the inference code.
', ], ], 'ModelPackageFrameworkVersion' => [ 'base' => NULL, 'refs' => [ 'ModelPackageContainerDefinition$FrameworkVersion' => 'The framework version of the Model Package Container Image.
', ], ], 'ModelPackageGroup' => [ 'base' => 'A group of versioned models in the model registry.
', 'refs' => [ 'SearchRecord$ModelPackageGroup' => NULL, ], ], 'ModelPackageGroupArn' => [ 'base' => NULL, 'refs' => [ 'CreateModelPackageGroupOutput$ModelPackageGroupArn' => 'The Amazon Resource Name (ARN) of the model group.
', 'DescribeModelPackageGroupOutput$ModelPackageGroupArn' => 'The Amazon Resource Name (ARN) of the model group.
', 'ModelPackageGroup$ModelPackageGroupArn' => 'The Amazon Resource Name (ARN) of the model group.
', 'ModelPackageGroupSummary$ModelPackageGroupArn' => 'The Amazon Resource Name (ARN) of the model group.
', 'PutModelPackageGroupPolicyOutput$ModelPackageGroupArn' => 'The Amazon Resource Name (ARN) of the model package group.
', ], ], 'ModelPackageGroupSortBy' => [ 'base' => NULL, 'refs' => [ 'ListModelPackageGroupsInput$SortBy' => 'The field to sort results by. The default is CreationTime.
The status of the model group.
', 'ModelPackageGroup$ModelPackageGroupStatus' => 'The status of the model group. This can be one of the following values.
PENDING - The model group is pending being created.
IN_PROGRESS - The model group is in the process of being created.
COMPLETED - The model group was successfully created.
FAILED - The model group failed.
DELETING - The model group is in the process of being deleted.
DELETE_FAILED - SageMaker failed to delete the model group.
The status of the model group.
', ], ], 'ModelPackageGroupSummary' => [ 'base' => 'Summary information about a model group.
', 'refs' => [ 'ModelPackageGroupSummaryList$member' => NULL, ], ], 'ModelPackageGroupSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListModelPackageGroupsOutput$ModelPackageGroupSummaryList' => 'A list of summaries of the model groups in your Amazon Web Services account.
', ], ], 'ModelPackageModelCard' => [ 'base' => 'The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.
The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.
The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.
The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.
An optional Key Management Service key to encrypt, decrypt, and re-encrypt model package information for regulated workloads with highly sensitive data.
', 'refs' => [ 'CreateModelPackageInput$SecurityConfig' => 'The KMS Key ID (KMSKeyId) used for encryption of model package information.
The KMS Key ID (KMSKeyId) used for encryption of model package information.
The parameter by which to sort the results. The default is CreationTime.
The URI of the source for the model package. If you want to clone a model package, set it to the model package Amazon Resource Name (ARN). If you want to register a model, set it to the model ARN.
', 'DescribeModelPackageOutput$SourceUri' => 'The URI of the source for the model package.
', 'ModelPackage$SourceUri' => 'The URI of the source for the model package.
', 'UpdateModelPackageInput$SourceUri' => 'The URI of the source for the model package.
', ], ], 'ModelPackageStatus' => [ 'base' => NULL, 'refs' => [ 'BatchDescribeModelPackageSummary$ModelPackageStatus' => 'The status of the mortgage package.
', 'DescribeModelPackageOutput$ModelPackageStatus' => 'The current status of the model package.
', 'ModelPackage$ModelPackageStatus' => 'The status of the model package. This can be one of the following values.
PENDING - The model package is pending being created.
IN_PROGRESS - The model package is in the process of being created.
COMPLETED - The model package was successfully created.
FAILED - The model package failed.
DELETING - The model package is in the process of being deleted.
The overall status of the model package.
', ], ], 'ModelPackageStatusDetails' => [ 'base' => 'Specifies the validation and image scan statuses of the model package.
', 'refs' => [ 'DescribeModelPackageOutput$ModelPackageStatusDetails' => 'Details about the current status of the model package.
', 'ModelPackage$ModelPackageStatusDetails' => 'Specifies the validation and image scan statuses of the model package.
', ], ], 'ModelPackageStatusItem' => [ 'base' => 'Represents the overall status of a model package.
', 'refs' => [ 'ModelPackageStatusItemList$member' => NULL, ], ], 'ModelPackageStatusItemList' => [ 'base' => NULL, 'refs' => [ 'ModelPackageStatusDetails$ValidationStatuses' => 'The validation status of the model package.
', 'ModelPackageStatusDetails$ImageScanStatuses' => 'The status of the scan of the Docker image container for the model package.
', ], ], 'ModelPackageSummaries' => [ 'base' => NULL, 'refs' => [ 'BatchDescribeModelPackageOutput$ModelPackageSummaries' => 'The summaries for the model package versions
', ], ], 'ModelPackageSummary' => [ 'base' => 'Provides summary information about a model package.
', 'refs' => [ 'ModelPackageSummaryList$member' => NULL, ], ], 'ModelPackageSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListModelPackagesOutput$ModelPackageSummaryList' => 'An array of ModelPackageSummary objects, each of which lists a model package.
A filter that returns only the model packages of the specified type. This can be one of the following values.
UNVERSIONED - List only unversioined models. This is the default value if no ModelPackageType is specified.
VERSIONED - List only versioned models.
BOTH - List both versioned and unversioned models.
Contains data, such as the inputs and targeted instance types that are used in the process of validating the model package.
The data provided in the validation profile is made available to your buyers on Amazon Web Services Marketplace.
', 'refs' => [ 'ModelPackageValidationProfiles$member' => NULL, ], ], 'ModelPackageValidationProfiles' => [ 'base' => NULL, 'refs' => [ 'ModelPackageValidationSpecification$ValidationProfiles' => 'An array of ModelPackageValidationProfile objects, each of which specifies a batch transform job that SageMaker runs to validate your model package.
Specifies batch transform jobs that SageMaker runs to validate your model package.
', 'refs' => [ 'CreateModelPackageInput$ValidationSpecification' => 'Specifies configurations for one or more transform jobs that SageMaker runs to test the model package.
', 'DescribeModelPackageOutput$ValidationSpecification' => 'Configurations for one or more transform jobs that SageMaker runs to test the model package.
', 'ModelPackage$ValidationSpecification' => 'Specifies batch transform jobs that SageMaker runs to validate your model package.
', ], ], 'ModelPackageVersion' => [ 'base' => NULL, 'refs' => [ 'BatchDescribeModelPackageSummary$ModelPackageVersion' => 'The version number of a versioned model.
', 'DescribeModelPackageOutput$ModelPackageVersion' => 'The version of the model package.
', 'ModelPackage$ModelPackageVersion' => 'The version number of a versioned model.
', 'ModelPackageSummary$ModelPackageVersion' => 'If the model package is a versioned model, the version of the model.
', ], ], 'ModelQuality' => [ 'base' => 'Model quality statistics and constraints.
', 'refs' => [ 'ModelMetrics$ModelQuality' => 'Metrics that measure the quality of a model.
', ], ], 'ModelQualityAppSpecification' => [ 'base' => 'Container image configuration object for the monitoring job.
', 'refs' => [ 'CreateModelQualityJobDefinitionRequest$ModelQualityAppSpecification' => 'The container that runs the monitoring job.
', 'DescribeModelQualityJobDefinitionResponse$ModelQualityAppSpecification' => 'Configures the model quality job to run a specified Docker container image.
', ], ], 'ModelQualityBaselineConfig' => [ 'base' => 'Configuration for monitoring constraints and monitoring statistics. These baseline resources are compared against the results of the current job from the series of jobs scheduled to collect data periodically.
', 'refs' => [ 'CreateModelQualityJobDefinitionRequest$ModelQualityBaselineConfig' => 'Specifies the constraints and baselines for the monitoring job.
', 'DescribeModelQualityJobDefinitionResponse$ModelQualityBaselineConfig' => 'The baseline configuration for a model quality job.
', ], ], 'ModelQualityJobInput' => [ 'base' => 'The input for the model quality monitoring job. Currently endpoints are supported for input for model quality monitoring jobs.
', 'refs' => [ 'CreateModelQualityJobDefinitionRequest$ModelQualityJobInput' => 'A list of the inputs that are monitored. Currently endpoints are supported.
', 'DescribeModelQualityJobDefinitionResponse$ModelQualityJobInput' => 'Inputs for the model quality job.
', ], ], 'ModelQuantizationConfig' => [ 'base' => 'Settings for the model quantization technique that\'s applied by a model optimization job.
', 'refs' => [ 'OptimizationConfig$ModelQuantizationConfig' => 'Settings for the model quantization technique that\'s applied by a model optimization job.
', ], ], 'ModelRegisterSettings' => [ 'base' => 'The model registry settings for the SageMaker Canvas application.
', 'refs' => [ 'CanvasAppSettings$ModelRegisterSettings' => 'The model registry settings for the SageMaker Canvas application.
', ], ], 'ModelSetupTime' => [ 'base' => NULL, 'refs' => [ 'RecommendationMetrics$ModelSetupTime' => 'The time it takes to launch new compute resources for a serverless endpoint. The time can vary depending on the model size, how long it takes to download the model, and the start-up time of the container.
NaN indicates that the value is not available.
Settings for the model sharding technique that\'s applied by a model optimization job.
', 'refs' => [ 'OptimizationConfig$ModelShardingConfig' => 'Settings for the model sharding technique that\'s applied by a model optimization job.
', ], ], 'ModelSortKey' => [ 'base' => NULL, 'refs' => [ 'ListModelsInput$SortBy' => 'Sorts the list of results. The default is CreationTime.
Metadata for Model steps.
', 'refs' => [ 'PipelineExecutionStepMetadata$Model' => 'The Amazon Resource Name (ARN) of the model that was created by this step execution.
', ], ], 'ModelSummary' => [ 'base' => 'Provides summary information about a model.
', 'refs' => [ 'ModelSummaryList$member' => NULL, ], ], 'ModelSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListModelsOutput$Models' => 'An array of ModelSummary objects, each of which lists a model.
Array of key-value pairs, with names of variants mapped to actions. The possible actions are the following:
Promote - Promote the shadow variant to a production variant
Remove - Delete the variant
Retain - Keep the variant as it is
Contains information about the deployment options of a model.
', 'refs' => [ 'ModelVariantConfigList$member' => NULL, ], ], 'ModelVariantConfigList' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceExperimentRequest$ModelVariants' => ' An array of ModelVariantConfig objects. There is one for each variant in the inference experiment. Each ModelVariantConfig object in the array describes the infrastructure configuration for the corresponding variant.
An array of ModelVariantConfig objects. There is one for each variant that you want to deploy after the inference experiment stops. Each ModelVariantConfig describes the infrastructure configuration for deploying the corresponding variant.
An array of ModelVariantConfig objects. There is one for each variant, whose infrastructure configuration you want to update.
Summary of the deployment configuration of a model.
', 'refs' => [ 'ModelVariantConfigSummaryList$member' => NULL, ], ], 'ModelVariantConfigSummaryList' => [ 'base' => NULL, 'refs' => [ 'DescribeInferenceExperimentResponse$ModelVariants' => ' An array of ModelVariantConfigSummary objects. There is one for each variant in the inference experiment. Each ModelVariantConfigSummary object in the array describes the infrastructure configuration for deploying the corresponding variant.
The name of the variant.
', 'ModelVariantConfigSummary$VariantName' => 'The name of the variant.
', 'ShadowModeConfig$SourceModelVariantName' => 'The name of the production variant, which takes all the inference requests.
', 'ShadowModelVariantConfig$ShadowModelVariantName' => 'The name of the shadow variant.
', ], ], 'ModelVariantStatus' => [ 'base' => NULL, 'refs' => [ 'ModelVariantConfigSummary$Status' => 'The status of deployment for the model variant on the hosted inference endpoint.
Creating - Amazon SageMaker is preparing the model variant on the hosted inference endpoint.
InService - The model variant is running on the hosted inference endpoint.
Updating - Amazon SageMaker is updating the model variant on the hosted inference endpoint.
Deleting - Amazon SageMaker is deleting the model variant on the hosted inference endpoint.
Deleted - The model variant has been deleted on the hosted inference endpoint. This can only happen after stopping the experiment.
A list of alert actions taken in response to an alert going into InAlert status.
A list of alert actions taken in response to an alert going into InAlert status.
An alert history for a model monitoring schedule.
', ], ], 'MonitoringAlertHistorySortKey' => [ 'base' => NULL, 'refs' => [ 'ListMonitoringAlertHistoryRequest$SortBy' => 'The field used to sort results. The default is CreationTime.
Provides summary information of an alert\'s history.
', 'refs' => [ 'MonitoringAlertHistoryList$member' => NULL, ], ], 'MonitoringAlertName' => [ 'base' => NULL, 'refs' => [ 'ListMonitoringAlertHistoryRequest$MonitoringAlertName' => 'The name of a monitoring alert.
', 'MonitoringAlertHistorySummary$MonitoringAlertName' => 'The name of a monitoring alert.
', 'MonitoringAlertSummary$MonitoringAlertName' => 'The name of a monitoring alert.
', 'UpdateMonitoringAlertRequest$MonitoringAlertName' => 'The name of a monitoring alert.
', 'UpdateMonitoringAlertResponse$MonitoringAlertName' => 'The name of a monitoring alert.
', ], ], 'MonitoringAlertStatus' => [ 'base' => NULL, 'refs' => [ 'ListMonitoringAlertHistoryRequest$StatusEquals' => 'A filter that retrieves only alerts with a specific status.
', 'MonitoringAlertHistorySummary$AlertStatus' => 'The current alert status of an alert.
', 'MonitoringAlertSummary$AlertStatus' => 'The current status of an alert.
', ], ], 'MonitoringAlertSummary' => [ 'base' => 'Provides summary information about a monitor alert.
', 'refs' => [ 'MonitoringAlertSummaryList$member' => NULL, ], ], 'MonitoringAlertSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListMonitoringAlertsResponse$MonitoringAlertSummaries' => 'A JSON array where each element is a summary for a monitoring alert.
', 'ModelDashboardMonitoringSchedule$MonitoringAlertSummaries' => 'A JSON array where each element is a summary for a monitoring alert.
', ], ], 'MonitoringAppSpecification' => [ 'base' => 'Container image configuration object for the monitoring job.
', 'refs' => [ 'MonitoringJobDefinition$MonitoringAppSpecification' => 'Configures the monitoring job to run a specified Docker container image.
', ], ], 'MonitoringBaselineConfig' => [ 'base' => 'Configuration for monitoring constraints and monitoring statistics. These baseline resources are compared against the results of the current job from the series of jobs scheduled to collect data periodically.
', 'refs' => [ 'MonitoringJobDefinition$BaselineConfig' => 'Baseline configuration used to validate that the data conforms to the specified constraints and statistics
', ], ], 'MonitoringClusterConfig' => [ 'base' => 'Configuration for the cluster used to run model monitoring jobs.
', 'refs' => [ 'MonitoringResources$ClusterConfig' => 'The configuration for the cluster resources used to run the processing job.
', ], ], 'MonitoringConstraintsResource' => [ 'base' => 'The constraints resource for a monitoring job.
', 'refs' => [ 'DataQualityBaselineConfig$ConstraintsResource' => NULL, 'ModelBiasBaselineConfig$ConstraintsResource' => NULL, 'ModelExplainabilityBaselineConfig$ConstraintsResource' => NULL, 'ModelQualityBaselineConfig$ConstraintsResource' => NULL, 'MonitoringBaselineConfig$ConstraintsResource' => 'The baseline constraint file in Amazon S3 that the current monitoring job should validated against.
', ], ], 'MonitoringContainerArguments' => [ 'base' => NULL, 'refs' => [ 'DataQualityAppSpecification$ContainerArguments' => 'The arguments to send to the container that the monitoring job runs.
', 'ModelQualityAppSpecification$ContainerArguments' => 'An array of arguments for the container used to run the monitoring job.
', 'MonitoringAppSpecification$ContainerArguments' => 'An array of arguments for the container used to run the monitoring job.
', ], ], 'MonitoringCsvDatasetFormat' => [ 'base' => 'Represents the CSV dataset format used when running a monitoring job.
', 'refs' => [ 'MonitoringDatasetFormat$Csv' => 'The CSV dataset used in the monitoring job.
', ], ], 'MonitoringDatapointsToAlert' => [ 'base' => NULL, 'refs' => [ 'MonitoringAlertSummary$DatapointsToAlert' => 'Within EvaluationPeriod, how many execution failures will raise an alert.
Within EvaluationPeriod, how many execution failures will raise an alert.
Represents the dataset format used when running a monitoring job.
', 'refs' => [ 'BatchTransformInput$DatasetFormat' => 'The dataset format for your batch transform job.
', ], ], 'MonitoringEnvironmentMap' => [ 'base' => NULL, 'refs' => [ 'DataQualityAppSpecification$Environment' => 'Sets the environment variables in the container that the monitoring job runs.
', 'ModelBiasAppSpecification$Environment' => 'Sets the environment variables in the Docker container.
', 'ModelExplainabilityAppSpecification$Environment' => 'Sets the environment variables in the Docker container.
', 'ModelQualityAppSpecification$Environment' => 'Sets the environment variables in the container that the monitoring job runs.
', 'MonitoringJobDefinition$Environment' => 'Sets the environment variables in the Docker container.
', ], ], 'MonitoringEvaluationPeriod' => [ 'base' => NULL, 'refs' => [ 'MonitoringAlertSummary$EvaluationPeriod' => 'The number of most recent monitoring executions to consider when evaluating alert status.
', 'UpdateMonitoringAlertRequest$EvaluationPeriod' => 'The number of most recent monitoring executions to consider when evaluating alert status.
', ], ], 'MonitoringExecutionSortKey' => [ 'base' => NULL, 'refs' => [ 'ListMonitoringExecutionsRequest$SortBy' => 'Whether to sort the results by the Status, CreationTime, or ScheduledTime field. The default is CreationTime.
Summary of information about the last monitoring job to run.
', 'refs' => [ 'DescribeMonitoringScheduleResponse$LastMonitoringExecutionSummary' => 'Describes metadata on the last execution to run, if there was one.
', 'ModelDashboardMonitoringSchedule$LastMonitoringExecutionSummary' => NULL, 'MonitoringExecutionSummaryList$member' => NULL, 'MonitoringSchedule$LastMonitoringExecutionSummary' => NULL, ], ], 'MonitoringExecutionSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListMonitoringExecutionsResponse$MonitoringExecutionSummaries' => 'A JSON array in which each element is a summary for a monitoring execution.
', ], ], 'MonitoringGroundTruthS3Input' => [ 'base' => 'The ground truth labels for the dataset used for the monitoring job.
', 'refs' => [ 'ModelBiasJobInput$GroundTruthS3Input' => 'Location of ground truth labels to use in model bias job.
', 'ModelQualityJobInput$GroundTruthS3Input' => 'The ground truth label provided for the model.
', ], ], 'MonitoringInput' => [ 'base' => 'The inputs for a monitoring job.
', 'refs' => [ 'MonitoringInputs$member' => NULL, ], ], 'MonitoringInputs' => [ 'base' => NULL, 'refs' => [ 'MonitoringJobDefinition$MonitoringInputs' => 'The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker AI Endpoint.
', ], ], 'MonitoringJobDefinition' => [ 'base' => 'Defines the monitoring job.
', 'refs' => [ 'MonitoringScheduleConfig$MonitoringJobDefinition' => 'Defines the monitoring job.
', ], ], 'MonitoringJobDefinitionArn' => [ 'base' => NULL, 'refs' => [ 'CreateDataQualityJobDefinitionResponse$JobDefinitionArn' => 'The Amazon Resource Name (ARN) of the job definition.
', 'CreateModelBiasJobDefinitionResponse$JobDefinitionArn' => 'The Amazon Resource Name (ARN) of the model bias job.
', 'CreateModelExplainabilityJobDefinitionResponse$JobDefinitionArn' => 'The Amazon Resource Name (ARN) of the model explainability job.
', 'CreateModelQualityJobDefinitionResponse$JobDefinitionArn' => 'The Amazon Resource Name (ARN) of the model quality monitoring job.
', 'DescribeDataQualityJobDefinitionResponse$JobDefinitionArn' => 'The Amazon Resource Name (ARN) of the data quality monitoring job definition.
', 'DescribeModelBiasJobDefinitionResponse$JobDefinitionArn' => 'The Amazon Resource Name (ARN) of the model bias job.
', 'DescribeModelExplainabilityJobDefinitionResponse$JobDefinitionArn' => 'The Amazon Resource Name (ARN) of the model explainability job.
', 'DescribeModelQualityJobDefinitionResponse$JobDefinitionArn' => 'The Amazon Resource Name (ARN) of the model quality job.
', 'MonitoringJobDefinitionSummary$MonitoringJobDefinitionArn' => 'The Amazon Resource Name (ARN) of the monitoring job.
', ], ], 'MonitoringJobDefinitionName' => [ 'base' => NULL, 'refs' => [ 'CreateDataQualityJobDefinitionRequest$JobDefinitionName' => 'The name for the monitoring job definition.
', 'CreateModelBiasJobDefinitionRequest$JobDefinitionName' => 'The name of the bias job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'CreateModelExplainabilityJobDefinitionRequest$JobDefinitionName' => 'The name of the model explainability job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'CreateModelQualityJobDefinitionRequest$JobDefinitionName' => 'The name of the monitoring job definition.
', 'DeleteDataQualityJobDefinitionRequest$JobDefinitionName' => 'The name of the data quality monitoring job definition to delete.
', 'DeleteModelBiasJobDefinitionRequest$JobDefinitionName' => 'The name of the model bias job definition to delete.
', 'DeleteModelExplainabilityJobDefinitionRequest$JobDefinitionName' => 'The name of the model explainability job definition to delete.
', 'DeleteModelQualityJobDefinitionRequest$JobDefinitionName' => 'The name of the model quality monitoring job definition to delete.
', 'DescribeDataQualityJobDefinitionRequest$JobDefinitionName' => 'The name of the data quality monitoring job definition to describe.
', 'DescribeDataQualityJobDefinitionResponse$JobDefinitionName' => 'The name of the data quality monitoring job definition.
', 'DescribeModelBiasJobDefinitionRequest$JobDefinitionName' => 'The name of the model bias job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'DescribeModelBiasJobDefinitionResponse$JobDefinitionName' => 'The name of the bias job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'DescribeModelExplainabilityJobDefinitionRequest$JobDefinitionName' => 'The name of the model explainability job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'DescribeModelExplainabilityJobDefinitionResponse$JobDefinitionName' => 'The name of the explainability job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'DescribeModelQualityJobDefinitionRequest$JobDefinitionName' => 'The name of the model quality job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'DescribeModelQualityJobDefinitionResponse$JobDefinitionName' => 'The name of the quality job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'ListMonitoringExecutionsRequest$MonitoringJobDefinitionName' => 'Gets a list of the monitoring job runs of the specified monitoring job definitions.
', 'ListMonitoringSchedulesRequest$MonitoringJobDefinitionName' => 'Gets a list of the monitoring schedules for the specified monitoring job definition.
', 'MonitoringExecutionSummary$MonitoringJobDefinitionName' => 'The name of the monitoring job.
', 'MonitoringJobDefinitionSummary$MonitoringJobDefinitionName' => 'The name of the monitoring job.
', 'MonitoringScheduleConfig$MonitoringJobDefinitionName' => 'The name of the monitoring job definition to schedule.
', 'MonitoringScheduleSummary$MonitoringJobDefinitionName' => 'The name of the monitoring job definition that the schedule is for.
', ], ], 'MonitoringJobDefinitionSortKey' => [ 'base' => NULL, 'refs' => [ 'ListDataQualityJobDefinitionsRequest$SortBy' => 'The field to sort results by. The default is CreationTime.
Whether to sort results by the Name or CreationTime field. The default is CreationTime.
Whether to sort results by the Name or CreationTime field. The default is CreationTime.
The field to sort results by. The default is CreationTime.
Summary information about a monitoring job.
', 'refs' => [ 'MonitoringJobDefinitionSummaryList$member' => NULL, ], ], 'MonitoringJobDefinitionSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListDataQualityJobDefinitionsResponse$JobDefinitionSummaries' => 'A list of data quality monitoring job definitions.
', 'ListModelBiasJobDefinitionsResponse$JobDefinitionSummaries' => 'A JSON array in which each element is a summary for a model bias jobs.
', 'ListModelExplainabilityJobDefinitionsResponse$JobDefinitionSummaries' => 'A JSON array in which each element is a summary for a explainability bias jobs.
', 'ListModelQualityJobDefinitionsResponse$JobDefinitionSummaries' => 'A list of summaries of model quality monitoring job definitions.
', ], ], 'MonitoringJsonDatasetFormat' => [ 'base' => 'Represents the JSON dataset format used when running a monitoring job.
', 'refs' => [ 'MonitoringDatasetFormat$Json' => 'The JSON dataset used in the monitoring job
', ], ], 'MonitoringMaxRuntimeInSeconds' => [ 'base' => NULL, 'refs' => [ 'MonitoringStoppingCondition$MaxRuntimeInSeconds' => 'The maximum runtime allowed in seconds.
The MaxRuntimeInSeconds cannot exceed the frequency of the job. For data quality and model explainability, this can be up to 3600 seconds for an hourly schedule. For model bias and model quality hourly schedules, this can be up to 1800 seconds.
The networking configuration for the monitoring job.
', 'refs' => [ 'CreateDataQualityJobDefinitionRequest$NetworkConfig' => 'Specifies networking configuration for the monitoring job.
', 'CreateModelBiasJobDefinitionRequest$NetworkConfig' => 'Networking options for a model bias job.
', 'CreateModelExplainabilityJobDefinitionRequest$NetworkConfig' => 'Networking options for a model explainability job.
', 'CreateModelQualityJobDefinitionRequest$NetworkConfig' => 'Specifies the network configuration for the monitoring job.
', 'DescribeDataQualityJobDefinitionResponse$NetworkConfig' => 'The networking configuration for the data quality monitoring job.
', 'DescribeModelBiasJobDefinitionResponse$NetworkConfig' => 'Networking options for a model bias job.
', 'DescribeModelExplainabilityJobDefinitionResponse$NetworkConfig' => 'Networking options for a model explainability job.
', 'DescribeModelQualityJobDefinitionResponse$NetworkConfig' => 'Networking options for a model quality job.
', ], ], 'MonitoringOutput' => [ 'base' => 'The output object for a monitoring job.
', 'refs' => [ 'MonitoringOutputs$member' => NULL, ], ], 'MonitoringOutputConfig' => [ 'base' => 'The output configuration for monitoring jobs.
', 'refs' => [ 'CreateDataQualityJobDefinitionRequest$DataQualityJobOutputConfig' => NULL, 'CreateModelBiasJobDefinitionRequest$ModelBiasJobOutputConfig' => NULL, 'CreateModelExplainabilityJobDefinitionRequest$ModelExplainabilityJobOutputConfig' => NULL, 'CreateModelQualityJobDefinitionRequest$ModelQualityJobOutputConfig' => NULL, 'DescribeDataQualityJobDefinitionResponse$DataQualityJobOutputConfig' => NULL, 'DescribeModelBiasJobDefinitionResponse$ModelBiasJobOutputConfig' => NULL, 'DescribeModelExplainabilityJobDefinitionResponse$ModelExplainabilityJobOutputConfig' => NULL, 'DescribeModelQualityJobDefinitionResponse$ModelQualityJobOutputConfig' => NULL, 'MonitoringJobDefinition$MonitoringOutputConfig' => 'The array of outputs from the monitoring job to be uploaded to Amazon S3.
', ], ], 'MonitoringOutputs' => [ 'base' => NULL, 'refs' => [ 'MonitoringOutputConfig$MonitoringOutputs' => 'Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
', ], ], 'MonitoringParquetDatasetFormat' => [ 'base' => 'Represents the Parquet dataset format used when running a monitoring job.
', 'refs' => [ 'MonitoringDatasetFormat$Parquet' => 'The Parquet dataset used in the monitoring job
', ], ], 'MonitoringProblemType' => [ 'base' => NULL, 'refs' => [ 'ModelQualityAppSpecification$ProblemType' => 'The machine learning problem type of the model that the monitoring job monitors.
', ], ], 'MonitoringResources' => [ 'base' => 'Identifies the resources to deploy for a monitoring job.
', 'refs' => [ 'CreateDataQualityJobDefinitionRequest$JobResources' => NULL, 'CreateModelBiasJobDefinitionRequest$JobResources' => NULL, 'CreateModelExplainabilityJobDefinitionRequest$JobResources' => NULL, 'CreateModelQualityJobDefinitionRequest$JobResources' => NULL, 'DescribeDataQualityJobDefinitionResponse$JobResources' => NULL, 'DescribeModelBiasJobDefinitionResponse$JobResources' => NULL, 'DescribeModelExplainabilityJobDefinitionResponse$JobResources' => NULL, 'DescribeModelQualityJobDefinitionResponse$JobResources' => NULL, 'MonitoringJobDefinition$MonitoringResources' => 'Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job. In distributed processing, you specify more than one instance.
', ], ], 'MonitoringS3Output' => [ 'base' => 'Information about where and how you want to store the results of a monitoring job.
', 'refs' => [ 'MonitoringOutput$S3Output' => 'The Amazon S3 storage location where the results of a monitoring job are saved.
', ], ], 'MonitoringS3Uri' => [ 'base' => NULL, 'refs' => [ 'MonitoringGroundTruthS3Input$S3Uri' => 'The address of the Amazon S3 location of the ground truth labels.
', 'MonitoringS3Output$S3Uri' => 'A URI that identifies the Amazon S3 storage location where Amazon SageMaker AI saves the results of a monitoring job.
', ], ], 'MonitoringSchedule' => [ 'base' => 'A schedule for a model monitoring job. For information about model monitor, see Amazon SageMaker Model Monitor.
', 'refs' => [ 'MonitoringScheduleList$member' => NULL, ], ], 'MonitoringScheduleArn' => [ 'base' => NULL, 'refs' => [ 'CreateMonitoringScheduleResponse$MonitoringScheduleArn' => 'The Amazon Resource Name (ARN) of the monitoring schedule.
', 'DescribeMonitoringScheduleResponse$MonitoringScheduleArn' => 'The Amazon Resource Name (ARN) of the monitoring schedule.
', 'DescribeProcessingJobResponse$MonitoringScheduleArn' => 'The ARN of a monitoring schedule for an endpoint associated with this processing job.
', 'ModelDashboardMonitoringSchedule$MonitoringScheduleArn' => 'The Amazon Resource Name (ARN) of a monitoring schedule.
', 'MonitoringSchedule$MonitoringScheduleArn' => 'The Amazon Resource Name (ARN) of the monitoring schedule.
', 'MonitoringScheduleSummary$MonitoringScheduleArn' => 'The Amazon Resource Name (ARN) of the monitoring schedule.
', 'ProcessingJob$MonitoringScheduleArn' => 'The ARN of a monitoring schedule for an endpoint associated with this processing job.
', 'UpdateMonitoringAlertResponse$MonitoringScheduleArn' => 'The Amazon Resource Name (ARN) of the monitoring schedule.
', 'UpdateMonitoringScheduleResponse$MonitoringScheduleArn' => 'The Amazon Resource Name (ARN) of the monitoring schedule.
', ], ], 'MonitoringScheduleConfig' => [ 'base' => 'Configures the monitoring schedule and defines the monitoring job.
', 'refs' => [ 'CreateMonitoringScheduleRequest$MonitoringScheduleConfig' => 'The configuration object that specifies the monitoring schedule and defines the monitoring job.
', 'DescribeMonitoringScheduleResponse$MonitoringScheduleConfig' => 'The configuration object that specifies the monitoring schedule and defines the monitoring job.
', 'ModelDashboardMonitoringSchedule$MonitoringScheduleConfig' => NULL, 'MonitoringSchedule$MonitoringScheduleConfig' => NULL, 'UpdateMonitoringScheduleRequest$MonitoringScheduleConfig' => 'The configuration object that specifies the monitoring schedule and defines the monitoring job.
', ], ], 'MonitoringScheduleList' => [ 'base' => NULL, 'refs' => [ 'Endpoint$MonitoringSchedules' => 'A list of monitoring schedules for the endpoint. For information about model monitoring, see Amazon SageMaker Model Monitor.
', ], ], 'MonitoringScheduleName' => [ 'base' => NULL, 'refs' => [ 'CreateMonitoringScheduleRequest$MonitoringScheduleName' => 'The name of the monitoring schedule. The name must be unique within an Amazon Web Services Region within an Amazon Web Services account.
', 'DeleteMonitoringScheduleRequest$MonitoringScheduleName' => 'The name of the monitoring schedule to delete.
', 'DescribeMonitoringScheduleRequest$MonitoringScheduleName' => 'Name of a previously created monitoring schedule.
', 'DescribeMonitoringScheduleResponse$MonitoringScheduleName' => 'Name of the monitoring schedule.
', 'ListMonitoringAlertHistoryRequest$MonitoringScheduleName' => 'The name of a monitoring schedule.
', 'ListMonitoringAlertsRequest$MonitoringScheduleName' => 'The name of a monitoring schedule.
', 'ListMonitoringExecutionsRequest$MonitoringScheduleName' => 'Name of a specific schedule to fetch jobs for.
', 'ModelDashboardMonitoringSchedule$MonitoringScheduleName' => 'The name of a monitoring schedule.
', 'MonitoringAlertHistorySummary$MonitoringScheduleName' => 'The name of a monitoring schedule.
', 'MonitoringExecutionSummary$MonitoringScheduleName' => 'The name of the monitoring schedule.
', 'MonitoringSchedule$MonitoringScheduleName' => 'The name of the monitoring schedule.
', 'MonitoringScheduleSummary$MonitoringScheduleName' => 'The name of the monitoring schedule.
', 'StartMonitoringScheduleRequest$MonitoringScheduleName' => 'The name of the schedule to start.
', 'StopMonitoringScheduleRequest$MonitoringScheduleName' => 'The name of the schedule to stop.
', 'UpdateMonitoringAlertRequest$MonitoringScheduleName' => 'The name of a monitoring schedule.
', 'UpdateMonitoringScheduleRequest$MonitoringScheduleName' => 'The name of the monitoring schedule. The name must be unique within an Amazon Web Services Region within an Amazon Web Services account.
', ], ], 'MonitoringScheduleSortKey' => [ 'base' => NULL, 'refs' => [ 'ListMonitoringSchedulesRequest$SortBy' => 'Whether to sort the results by the Status, CreationTime, or ScheduledTime field. The default is CreationTime.
Summarizes the monitoring schedule.
', 'refs' => [ 'MonitoringScheduleSummaryList$member' => NULL, ], ], 'MonitoringScheduleSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListMonitoringSchedulesResponse$MonitoringScheduleSummaries' => 'A JSON array in which each element is a summary for a monitoring schedule.
', ], ], 'MonitoringStatisticsResource' => [ 'base' => 'The statistics resource for a monitoring job.
', 'refs' => [ 'DataQualityBaselineConfig$StatisticsResource' => NULL, 'MonitoringBaselineConfig$StatisticsResource' => 'The baseline statistics file in Amazon S3 that the current monitoring job should be validated against.
', ], ], 'MonitoringStoppingCondition' => [ 'base' => 'A time limit for how long the monitoring job is allowed to run before stopping.
', 'refs' => [ 'CreateDataQualityJobDefinitionRequest$StoppingCondition' => NULL, 'CreateModelBiasJobDefinitionRequest$StoppingCondition' => NULL, 'CreateModelExplainabilityJobDefinitionRequest$StoppingCondition' => NULL, 'CreateModelQualityJobDefinitionRequest$StoppingCondition' => NULL, 'DescribeDataQualityJobDefinitionResponse$StoppingCondition' => NULL, 'DescribeModelBiasJobDefinitionResponse$StoppingCondition' => NULL, 'DescribeModelExplainabilityJobDefinitionResponse$StoppingCondition' => NULL, 'DescribeModelQualityJobDefinitionResponse$StoppingCondition' => NULL, 'MonitoringJobDefinition$StoppingCondition' => 'Specifies a time limit for how long the monitoring job is allowed to run.
', ], ], 'MonitoringTimeOffsetString' => [ 'base' => NULL, 'refs' => [ 'BatchTransformInput$StartTimeOffset' => 'If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
', 'BatchTransformInput$EndTimeOffset' => 'If specified, monitoring jobs subtract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
', 'EndpointInput$StartTimeOffset' => 'If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
', 'EndpointInput$EndTimeOffset' => 'If specified, monitoring jobs substract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
', ], ], 'MonitoringType' => [ 'base' => NULL, 'refs' => [ 'DescribeMonitoringScheduleResponse$MonitoringType' => 'The type of the monitoring job that this schedule runs. This is one of the following values.
DATA_QUALITY - The schedule is for a data quality monitoring job.
MODEL_QUALITY - The schedule is for a model quality monitoring job.
MODEL_BIAS - The schedule is for a bias monitoring job.
MODEL_EXPLAINABILITY - The schedule is for an explainability monitoring job.
A filter that returns only the monitoring job runs of the specified monitoring type.
', 'ListMonitoringSchedulesRequest$MonitoringTypeEquals' => 'A filter that returns only the monitoring schedules for the specified monitoring type.
', 'ModelDashboardMonitoringSchedule$MonitoringType' => 'The monitor type of a model monitor.
', 'MonitoringExecutionSummary$MonitoringType' => 'The type of the monitoring job.
', 'MonitoringSchedule$MonitoringType' => 'The type of the monitoring job definition to schedule.
', 'MonitoringScheduleConfig$MonitoringType' => 'The type of the monitoring job definition to schedule.
', 'MonitoringScheduleSummary$MonitoringType' => 'The type of the monitoring job definition that the schedule is for.
', ], ], 'MountPath' => [ 'base' => NULL, 'refs' => [ 'FileSystemConfig$MountPath' => 'The path within the image to mount the user\'s EFS home directory. The directory should be empty. If not specified, defaults to /home/sagemaker-user.
', ], ], 'MultiModelConfig' => [ 'base' => 'Specifies additional configuration for hosting multi-model endpoints.
', 'refs' => [ 'ContainerDefinition$MultiModelConfig' => 'Specifies additional configuration for multi-model endpoints.
', ], ], 'NameContains' => [ 'base' => NULL, 'refs' => [ 'ListAlgorithmsInput$NameContains' => 'A string in the algorithm name. This filter returns only algorithms whose name contains the specified string.
', 'ListClustersRequest$NameContains' => 'Set the maximum number of instances to print in the list.
', 'ListCompilationJobsRequest$NameContains' => 'A filter that returns the model compilation jobs whose name contains a specified string.
', 'ListDataQualityJobDefinitionsRequest$NameContains' => 'A string in the data quality monitoring job definition name. This filter returns only data quality monitoring job definitions whose name contains the specified string.
', 'ListDeviceFleetsRequest$NameContains' => 'Filter for fleets containing this name in their fleet device name.
', 'ListEdgeDeploymentPlansRequest$NameContains' => 'Selects edge deployment plans with names containing this name.
', 'ListEdgeDeploymentPlansRequest$DeviceFleetNameContains' => 'Selects edge deployment plans with a device fleet name containing this name.
', 'ListEdgePackagingJobsRequest$NameContains' => 'Filter for jobs containing this name in their packaging job name.
', 'ListEdgePackagingJobsRequest$ModelNameContains' => 'Filter for jobs where the model name contains this string.
', 'ListHubContentsRequest$NameContains' => 'Only list hub content if the name contains the specified string.
', 'ListHubsRequest$NameContains' => 'Only list hubs with names that contain the specified string.
', 'ListHyperParameterTuningJobsRequest$NameContains' => 'A string in the tuning job name. This filter returns only tuning jobs whose name contains the specified string.
', 'ListInferenceExperimentsRequest$NameContains' => 'Selects inference experiments whose names contain this name.
', 'ListInferenceRecommendationsJobsRequest$NameContains' => 'A string in the job name. This filter returns only recommendations whose name contains the specified string.
', 'ListLabelingJobsRequest$NameContains' => 'A string in the labeling job name. This filter returns only labeling jobs whose name contains the specified string.
', 'ListModelBiasJobDefinitionsRequest$NameContains' => 'Filter for model bias jobs whose name contains a specified string.
', 'ListModelExplainabilityJobDefinitionsRequest$NameContains' => 'Filter for model explainability jobs whose name contains a specified string.
', 'ListModelPackageGroupsInput$NameContains' => 'A string in the model group name. This filter returns only model groups whose name contains the specified string.
', 'ListModelPackagesInput$NameContains' => 'A string in the model package name. This filter returns only model packages whose name contains the specified string.
', 'ListModelQualityJobDefinitionsRequest$NameContains' => 'A string in the transform job name. This filter returns only model quality monitoring job definitions whose name contains the specified string.
', 'ListMonitoringSchedulesRequest$NameContains' => 'Filter for monitoring schedules whose name contains a specified string.
', 'ListOptimizationJobsRequest$OptimizationContains' => 'Filters the results to only those optimization jobs that apply the specified optimization techniques. You can specify either Quantization or Compilation.
Filters the results to only those optimization jobs with a name that contains the specified string.
', 'ListTrainingJobsRequest$NameContains' => 'A string in the training job name. This filter returns only training jobs whose name contains the specified string.
', 'ListTransformJobsRequest$NameContains' => 'A string in the transform job name. This filter returns only transform jobs whose name contains the specified string.
', ], ], 'NeoVpcConfig' => [ 'base' => 'The VpcConfig configuration object that specifies the VPC that you want the compilation jobs to connect to. For more information on controlling access to your Amazon S3 buckets used for compilation job, see Give Amazon SageMaker AI Compilation Jobs Access to Resources in Your Amazon VPC.
', 'refs' => [ 'CreateCompilationJobRequest$VpcConfig' => 'A VpcConfig object that specifies the VPC that you want your compilation job to connect to. Control access to your models by configuring the VPC. For more information, see Protect Compilation Jobs by Using an Amazon Virtual Private Cloud.
', 'DescribeCompilationJobResponse$VpcConfig' => 'A VpcConfig object that specifies the VPC that you want your compilation job to connect to. Control access to your models by configuring the VPC. For more information, see Protect Compilation Jobs by Using an Amazon Virtual Private Cloud.
', ], ], 'NeoVpcSecurityGroupId' => [ 'base' => NULL, 'refs' => [ 'NeoVpcSecurityGroupIds$member' => NULL, ], ], 'NeoVpcSecurityGroupIds' => [ 'base' => NULL, 'refs' => [ 'NeoVpcConfig$SecurityGroupIds' => 'The VPC security group IDs. IDs have the form of sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
The ID of the subnets in the VPC that you want to connect the compilation job to for accessing the model in Amazon S3.
', ], ], 'NestedFilters' => [ 'base' => 'A list of nested Filter objects. A resource must satisfy the conditions of all filters to be included in the results returned from the Search API.
For example, to filter on a training job\'s InputDataConfig property with a specific channel name and S3Uri prefix, define the following filters:
\'{Name:"InputDataConfig.ChannelName", "Operator":"Equals", "Value":"train"}\',
\'{Name:"InputDataConfig.DataSource.S3DataSource.S3Uri", "Operator":"Contains", "Value":"mybucket/catdata"}\'
A list of nested filter objects.
', ], ], 'NetworkConfig' => [ 'base' => 'Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.
', 'refs' => [ 'CreateProcessingJobRequest$NetworkConfig' => 'Networking options for a processing job, such as whether to allow inbound and outbound network calls to and from processing containers, and the VPC subnets and security groups to use for VPC-enabled processing jobs.
', 'DescribeProcessingJobResponse$NetworkConfig' => 'Networking options for a processing job.
', 'MonitoringJobDefinition$NetworkConfig' => 'Specifies networking options for an monitoring job.
', 'ProcessingJob$NetworkConfig' => NULL, ], ], 'NetworkInterfaceId' => [ 'base' => NULL, 'refs' => [ 'DescribeNotebookInstanceOutput$NetworkInterfaceId' => 'The network interface IDs that SageMaker AI created at the time of creating the instance.
', ], ], 'NextToken' => [ 'base' => NULL, 'refs' => [ 'DescribeDeviceRequest$NextToken' => 'Next token of device description.
', 'DescribeDeviceResponse$NextToken' => 'The response from the last list when returning a list large enough to need tokening.
', 'DescribeEdgeDeploymentPlanRequest$NextToken' => 'If the edge deployment plan has enough stages to require tokening, then this is the response from the last list of stages returned.
', 'DescribeEdgeDeploymentPlanResponse$NextToken' => 'Token to use when calling the next set of stages in the edge deployment plan.
', 'DescribeFeatureGroupRequest$NextToken' => 'A token to resume pagination of the list of Features (FeatureDefinitions). 2,500 Features are returned by default.
A token to resume pagination of the list of Features (FeatureDefinitions).
If the previous call to ListActions didn\'t return the full set of actions, the call returns a token for getting the next set of actions.
A token for getting the next set of actions, if there are any.
', 'ListAlgorithmsInput$NextToken' => 'If the response to a previous ListAlgorithms request was truncated, the response includes a NextToken. To retrieve the next set of algorithms, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of algorithms, use it in the subsequent request.
', 'ListAliasesRequest$NextToken' => 'If the previous call to ListAliases didn\'t return the full set of aliases, the call returns a token for retrieving the next set of aliases.
A token for getting the next set of aliases, if more aliases exist.
', 'ListAppImageConfigsRequest$NextToken' => 'If the previous call to ListImages didn\'t return the full set of AppImageConfigs, the call returns a token for getting the next set of AppImageConfigs.
A token for getting the next set of AppImageConfigs, if there are any.
', 'ListAppsRequest$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListAppsResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListArtifactsRequest$NextToken' => 'If the previous call to ListArtifacts didn\'t return the full set of artifacts, the call returns a token for getting the next set of artifacts.
A token for getting the next set of artifacts, if there are any.
', 'ListAssociationsRequest$NextToken' => 'If the previous call to ListAssociations didn\'t return the full set of associations, the call returns a token for getting the next set of associations.
A token for getting the next set of associations, if there are any.
', 'ListAutoMLJobsRequest$NextToken' => 'If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.
', 'ListAutoMLJobsResponse$NextToken' => 'If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.
', 'ListCandidatesForAutoMLJobRequest$NextToken' => 'If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.
', 'ListCandidatesForAutoMLJobResponse$NextToken' => 'If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.
', 'ListClusterNodesRequest$NextToken' => 'If the result of the previous ListClusterNodes request was truncated, the response includes a NextToken. To retrieve the next set of cluster nodes, use the token in the next request.
The next token specified for listing instances in a SageMaker HyperPod cluster.
', 'ListClusterSchedulerConfigsRequest$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListClusterSchedulerConfigsResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListClustersRequest$NextToken' => 'Set the next token to retrieve the list of SageMaker HyperPod clusters.
', 'ListClustersResponse$NextToken' => 'If the result of the previous ListClusters request was truncated, the response includes a NextToken. To retrieve the next set of clusters, use the token in the next request.
If the result of a ListCodeRepositoriesOutput request was truncated, the response includes a NextToken. To get the next set of Git repositories, use the token in the next request.
If the result of a ListCodeRepositoriesOutput request was truncated, the response includes a NextToken. To get the next set of Git repositories, use the token in the next request.
If the result of the previous ListCompilationJobs request was truncated, the response includes a NextToken. To retrieve the next set of model compilation jobs, use the token in the next request.
If the response is truncated, Amazon SageMaker AI returns this NextToken. To retrieve the next set of model compilation jobs, use this token in the next request.
If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListComputeQuotasResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListContextsRequest$NextToken' => 'If the previous call to ListContexts didn\'t return the full set of contexts, the call returns a token for getting the next set of contexts.
A token for getting the next set of contexts, if there are any.
', 'ListDataQualityJobDefinitionsRequest$NextToken' => 'If the result of the previous ListDataQualityJobDefinitions request was truncated, the response includes a NextToken. To retrieve the next set of transform jobs, use the token in the next request.>
If the result of the previous ListDataQualityJobDefinitions request was truncated, the response includes a NextToken. To retrieve the next set of data quality monitoring job definitions, use the token in the next request.
The response from the last list when returning a list large enough to need tokening.
', 'ListDeviceFleetsResponse$NextToken' => 'The response from the last list when returning a list large enough to need tokening.
', 'ListDevicesRequest$NextToken' => 'The response from the last list when returning a list large enough to need tokening.
', 'ListDevicesResponse$NextToken' => 'The response from the last list when returning a list large enough to need tokening.
', 'ListDomainsRequest$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListDomainsResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListEdgeDeploymentPlansRequest$NextToken' => 'The response from the last list when returning a list large enough to need tokening.
', 'ListEdgeDeploymentPlansResponse$NextToken' => 'The token to use when calling the next page of results.
', 'ListEdgePackagingJobsRequest$NextToken' => 'The response from the last list when returning a list large enough to need tokening.
', 'ListEdgePackagingJobsResponse$NextToken' => 'Token to use when calling the next page of results.
', 'ListExperimentsRequest$NextToken' => 'If the previous call to ListExperiments didn\'t return the full set of experiments, the call returns a token for getting the next set of experiments.
A token for getting the next set of experiments, if there are any.
', 'ListFeatureGroupsRequest$NextToken' => 'A token to resume pagination of ListFeatureGroups results.
A token to resume pagination of ListFeatureGroups results.
A token to resume pagination.
', 'ListFlowDefinitionsResponse$NextToken' => 'A token to resume pagination.
', 'ListHubContentVersionsRequest$NextToken' => 'If the response to a previous ListHubContentVersions request was truncated, the response includes a NextToken. To retrieve the next set of hub content versions, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of hub content versions, use it in the subsequent request.
', 'ListHubContentsRequest$NextToken' => 'If the response to a previous ListHubContents request was truncated, the response includes a NextToken. To retrieve the next set of hub content, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of hub content, use it in the subsequent request.
', 'ListHubsRequest$NextToken' => 'If the response to a previous ListHubs request was truncated, the response includes a NextToken. To retrieve the next set of hubs, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of hubs, use it in the subsequent request.
', 'ListHumanTaskUisRequest$NextToken' => 'A token to resume pagination.
', 'ListHumanTaskUisResponse$NextToken' => 'A token to resume pagination.
', 'ListHyperParameterTuningJobsRequest$NextToken' => 'If the result of the previous ListHyperParameterTuningJobs request was truncated, the response includes a NextToken. To retrieve the next set of tuning jobs, use the token in the next request.
If the result of this ListHyperParameterTuningJobs request was truncated, the response includes a NextToken. To retrieve the next set of tuning jobs, use the token in the next request.
If the previous call to ListImageVersions didn\'t return the full set of versions, the call returns a token for getting the next set of versions.
A token for getting the next set of versions, if there are any.
', 'ListImagesRequest$NextToken' => 'If the previous call to ListImages didn\'t return the full set of images, the call returns a token for getting the next set of images.
A token for getting the next set of images, if there are any.
', 'ListInferenceExperimentsRequest$NextToken' => 'The response from the last list when returning a list large enough to need tokening.
', 'ListInferenceExperimentsResponse$NextToken' => 'The token to use when calling the next page of results.
', 'ListInferenceRecommendationsJobStepsRequest$NextToken' => 'A token that you can specify to return more results from the list. Specify this field if you have a token that was returned from a previous request.
', 'ListInferenceRecommendationsJobStepsResponse$NextToken' => 'A token that you can specify in your next request to return more results from the list.
', 'ListInferenceRecommendationsJobsRequest$NextToken' => 'If the response to a previous ListInferenceRecommendationsJobsRequest request was truncated, the response includes a NextToken. To retrieve the next set of recommendations, use the token in the next request.
A token for getting the next set of recommendations, if there are any.
', 'ListLabelingJobsForWorkteamRequest$NextToken' => 'If the result of the previous ListLabelingJobsForWorkteam request was truncated, the response includes a NextToken. To retrieve the next set of labeling jobs, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of labeling jobs, use it in the subsequent request.
', 'ListLabelingJobsRequest$NextToken' => 'If the result of the previous ListLabelingJobs request was truncated, the response includes a NextToken. To retrieve the next set of labeling jobs, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of labeling jobs, use it in the subsequent request.
', 'ListLineageGroupsRequest$NextToken' => 'If the response is truncated, SageMaker returns this token. To retrieve the next set of algorithms, use it in the subsequent request.
', 'ListLineageGroupsResponse$NextToken' => 'If the response is truncated, SageMaker returns this token. To retrieve the next set of algorithms, use it in the subsequent request.
', 'ListMlflowTrackingServersRequest$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListMlflowTrackingServersResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListModelBiasJobDefinitionsRequest$NextToken' => 'The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
', 'ListModelBiasJobDefinitionsResponse$NextToken' => 'The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
', 'ListModelCardExportJobsRequest$NextToken' => 'If the response to a previous ListModelCardExportJobs request was truncated, the response includes a NextToken. To retrieve the next set of model card export jobs, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of model card export jobs, use it in the subsequent request.
', 'ListModelCardVersionsRequest$NextToken' => 'If the response to a previous ListModelCardVersions request was truncated, the response includes a NextToken. To retrieve the next set of model card versions, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of model card versions, use it in the subsequent request.
', 'ListModelCardsRequest$NextToken' => 'If the response to a previous ListModelCards request was truncated, the response includes a NextToken. To retrieve the next set of model cards, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of model cards, use it in the subsequent request.
', 'ListModelExplainabilityJobDefinitionsRequest$NextToken' => 'The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
', 'ListModelExplainabilityJobDefinitionsResponse$NextToken' => 'The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
', 'ListModelMetadataRequest$NextToken' => 'If the response to a previous ListModelMetadataResponse request was truncated, the response includes a NextToken. To retrieve the next set of model metadata, use the token in the next request.
A token for getting the next set of recommendations, if there are any.
', 'ListModelPackageGroupsInput$NextToken' => 'If the result of the previous ListModelPackageGroups request was truncated, the response includes a NextToken. To retrieve the next set of model groups, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of model groups, use it in the subsequent request.
', 'ListModelPackagesInput$NextToken' => 'If the response to a previous ListModelPackages request was truncated, the response includes a NextToken. To retrieve the next set of model packages, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of model packages, use it in the subsequent request.
', 'ListModelQualityJobDefinitionsRequest$NextToken' => 'If the result of the previous ListModelQualityJobDefinitions request was truncated, the response includes a NextToken. To retrieve the next set of model quality monitoring job definitions, use the token in the next request.
If the response is truncated, Amazon SageMaker AI returns this token. To retrieve the next set of model quality monitoring job definitions, use it in the next request.
', 'ListMonitoringAlertHistoryRequest$NextToken' => 'If the result of the previous ListMonitoringAlertHistory request was truncated, the response includes a NextToken. To retrieve the next set of alerts in the history, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of alerts, use it in the subsequent request.
', 'ListMonitoringAlertsRequest$NextToken' => 'If the result of the previous ListMonitoringAlerts request was truncated, the response includes a NextToken. To retrieve the next set of alerts in the history, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of alerts, use it in the subsequent request.
', 'ListMonitoringExecutionsRequest$NextToken' => 'The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
', 'ListMonitoringExecutionsResponse$NextToken' => 'The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
', 'ListMonitoringSchedulesRequest$NextToken' => 'The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
', 'ListMonitoringSchedulesResponse$NextToken' => 'The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
', 'ListNotebookInstanceLifecycleConfigsInput$NextToken' => 'If the result of a ListNotebookInstanceLifecycleConfigs request was truncated, the response includes a NextToken. To get the next set of lifecycle configurations, use the token in the next request.
If the response is truncated, SageMaker AI returns this token. To get the next set of lifecycle configurations, use it in the next request.
', 'ListNotebookInstancesInput$NextToken' => ' If the previous call to the ListNotebookInstances is truncated, the response includes a NextToken. You can use this token in your subsequent ListNotebookInstances request to fetch the next set of notebook instances.
You might specify a filter or a sort order in your request. When response is truncated, you must use the same values for the filer and sort order in the next request.
If the response to the previous ListNotebookInstances request was truncated, SageMaker AI returns this token. To retrieve the next set of notebook instances, use the token in the next request.
A token that you use to get the next set of results following a truncated response. If the response to the previous request was truncated, that response provides the value for this token.
', 'ListOptimizationJobsResponse$NextToken' => 'The token to use in a subsequent request to get the next set of results following a truncated response.
', 'ListPartnerAppsRequest$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListPartnerAppsResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListPipelineExecutionStepsRequest$NextToken' => 'If the result of the previous ListPipelineExecutionSteps request was truncated, the response includes a NextToken. To retrieve the next set of pipeline execution steps, use the token in the next request.
If the result of the previous ListPipelineExecutionSteps request was truncated, the response includes a NextToken. To retrieve the next set of pipeline execution steps, use the token in the next request.
If the result of the previous ListPipelineExecutions request was truncated, the response includes a NextToken. To retrieve the next set of pipeline executions, use the token in the next request.
If the result of the previous ListPipelineExecutions request was truncated, the response includes a NextToken. To retrieve the next set of pipeline executions, use the token in the next request.
If the result of the previous ListPipelineParametersForExecution request was truncated, the response includes a NextToken. To retrieve the next set of parameters, use the token in the next request.
If the result of the previous ListPipelineParametersForExecution request was truncated, the response includes a NextToken. To retrieve the next set of parameters, use the token in the next request.
If the result of the previous ListPipelines request was truncated, the response includes a NextToken. To retrieve the next set of pipelines, use the token in the next request.
If the result of the previous ListPipelines request was truncated, the response includes a NextToken. To retrieve the next set of pipelines, use the token in the next request.
If the result of the previous ListProcessingJobs request was truncated, the response includes a NextToken. To retrieve the next set of processing jobs, use the token in the next request.
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of processing jobs, use it in the subsequent request.
', 'ListProjectsInput$NextToken' => 'If the result of the previous ListProjects request was truncated, the response includes a NextToken. To retrieve the next set of projects, use the token in the next request.
If the result of the previous ListCompilationJobs request was truncated, the response includes a NextToken. To retrieve the next set of model compilation jobs, use the token in the next request.
A token to resume pagination of ListResourceCatalogs results.
A token to resume pagination of ListResourceCatalogs results.
If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListSpacesResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListStageDevicesRequest$NextToken' => 'The response from the last list when returning a list large enough to neeed tokening.
', 'ListStageDevicesResponse$NextToken' => 'The token to use when calling the next page of results.
', 'ListStudioLifecycleConfigsRequest$NextToken' => 'If the previous call to ListStudioLifecycleConfigs didn\'t return the full set of Lifecycle Configurations, the call returns a token for getting the next set of Lifecycle Configurations.
', 'ListStudioLifecycleConfigsResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListSubscribedWorkteamsRequest$NextToken' => 'If the result of the previous ListSubscribedWorkteams request was truncated, the response includes a NextToken. To retrieve the next set of labeling jobs, use the token in the next request.
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of work teams, use it in the subsequent request.
', 'ListTagsInput$NextToken' => ' If the response to the previous ListTags request is truncated, SageMaker returns this token. To retrieve the next set of tags, use it in the subsequent request.
If response is truncated, SageMaker includes a token in the response. You can use this token in your subsequent request to fetch next set of tokens.
', 'ListTrainingJobsForHyperParameterTuningJobRequest$NextToken' => 'If the result of the previous ListTrainingJobsForHyperParameterTuningJob request was truncated, the response includes a NextToken. To retrieve the next set of training jobs, use the token in the next request.
If the result of this ListTrainingJobsForHyperParameterTuningJob request was truncated, the response includes a NextToken. To retrieve the next set of training jobs, use the token in the next request.
If the result of the previous ListTrainingJobs request was truncated, the response includes a NextToken. To retrieve the next set of training jobs, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of training jobs, use it in the subsequent request.
', 'ListTrainingPlansRequest$NextToken' => 'A token to continue pagination if more results are available.
', 'ListTrainingPlansResponse$NextToken' => 'A token to continue pagination if more results are available.
', 'ListTransformJobsRequest$NextToken' => 'If the result of the previous ListTransformJobs request was truncated, the response includes a NextToken. To retrieve the next set of transform jobs, use the token in the next request.
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of transform jobs, use it in the next request.
', 'ListTrialComponentsRequest$NextToken' => 'If the previous call to ListTrialComponents didn\'t return the full set of components, the call returns a token for getting the next set of components.
A token for getting the next set of components, if there are any.
', 'ListTrialsRequest$NextToken' => 'If the previous call to ListTrials didn\'t return the full set of trials, the call returns a token for getting the next set of trials.
A token for getting the next set of trials, if there are any.
', 'ListUserProfilesRequest$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListUserProfilesResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListWorkforcesRequest$NextToken' => 'A token to resume pagination.
', 'ListWorkforcesResponse$NextToken' => 'A token to resume pagination.
', 'ListWorkteamsRequest$NextToken' => 'If the result of the previous ListWorkteams request was truncated, the response includes a NextToken. To retrieve the next set of labeling jobs, use the token in the next request.
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of work teams, use it in the subsequent request.
', 'SearchRequest$NextToken' => 'If more than MaxResults resources match the specified SearchExpression, the response includes a NextToken. The NextToken can be passed to the next SearchRequest to continue retrieving results.
If the result of the previous Search request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request.
The failure reason for the operation.
', 'OptimizationJobEnvironmentVariables$key' => NULL, 'PartnerAppAdminUserList$member' => NULL, 'PartnerAppArguments$key' => NULL, ], ], 'NonEmptyString64' => [ 'base' => NULL, 'refs' => [ 'CreatePartnerAppRequest$Tier' => 'Indicates the instance type and size of the cluster attached to the SageMaker Partner AI App.
', 'CreateSpaceRequest$SpaceDisplayName' => 'The name of the space that appears in the SageMaker Studio UI.
', 'CustomImageContainerArguments$member' => NULL, 'DescribePartnerAppResponse$Tier' => 'The instance type and size of the cluster attached to the SageMaker Partner AI App.
', 'DescribePartnerAppResponse$Version' => 'The version of the SageMaker Partner AI App.
', 'DescribeSpaceResponse$SpaceDisplayName' => 'The name of the space that appears in the Amazon SageMaker Studio UI.
', 'ErrorInfo$Code' => 'The error code for an invalid or failed operation.
', 'SpaceDetails$SpaceDisplayName' => 'The name of the space that appears in the Studio UI.
', 'UpdatePartnerAppRequest$Tier' => 'Indicates the instance type and size of the cluster attached to the SageMaker Partner AI App.
', 'UpdateSpaceRequest$SpaceDisplayName' => 'The name of the space that appears in the Amazon SageMaker Studio UI.
', ], ], 'NotebookInstanceAcceleratorType' => [ 'base' => NULL, 'refs' => [ 'NotebookInstanceAcceleratorTypes$member' => NULL, ], ], 'NotebookInstanceAcceleratorTypes' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceInput$AcceleratorTypes' => 'This parameter is no longer supported. Elastic Inference (EI) is no longer available.
This parameter was used to specify a list of EI instance types to associate with this notebook instance.
', 'DescribeNotebookInstanceOutput$AcceleratorTypes' => 'This parameter is no longer supported. Elastic Inference (EI) is no longer available.
This parameter was used to specify a list of the EI instance types associated with this notebook instance.
', 'UpdateNotebookInstanceInput$AcceleratorTypes' => 'This parameter is no longer supported. Elastic Inference (EI) is no longer available.
This parameter was used to specify a list of the EI instance types to associate with this notebook instance.
', ], ], 'NotebookInstanceArn' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceOutput$NotebookInstanceArn' => 'The Amazon Resource Name (ARN) of the notebook instance.
', 'DescribeNotebookInstanceOutput$NotebookInstanceArn' => 'The Amazon Resource Name (ARN) of the notebook instance.
', 'NotebookInstanceSummary$NotebookInstanceArn' => 'The Amazon Resource Name (ARN) of the notebook instance.
', ], ], 'NotebookInstanceLifecycleConfigArn' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceLifecycleConfigOutput$NotebookInstanceLifecycleConfigArn' => 'The Amazon Resource Name (ARN) of the lifecycle configuration.
', 'DescribeNotebookInstanceLifecycleConfigOutput$NotebookInstanceLifecycleConfigArn' => 'The Amazon Resource Name (ARN) of the lifecycle configuration.
', 'NotebookInstanceLifecycleConfigSummary$NotebookInstanceLifecycleConfigArn' => 'The Amazon Resource Name (ARN) of the lifecycle configuration.
', ], ], 'NotebookInstanceLifecycleConfigContent' => [ 'base' => NULL, 'refs' => [ 'NotebookInstanceLifecycleHook$Content' => 'A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.
', ], ], 'NotebookInstanceLifecycleConfigList' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceLifecycleConfigInput$OnCreate' => 'A shell script that runs only once, when you create a notebook instance. The shell script must be a base64-encoded string.
', 'CreateNotebookInstanceLifecycleConfigInput$OnStart' => 'A shell script that runs every time you start a notebook instance, including when you create the notebook instance. The shell script must be a base64-encoded string.
', 'DescribeNotebookInstanceLifecycleConfigOutput$OnCreate' => 'The shell script that runs only once, when you create a notebook instance.
', 'DescribeNotebookInstanceLifecycleConfigOutput$OnStart' => 'The shell script that runs every time you start a notebook instance, including when you create the notebook instance.
', 'UpdateNotebookInstanceLifecycleConfigInput$OnCreate' => 'The shell script that runs only once, when you create a notebook instance. The shell script must be a base64-encoded string.
', 'UpdateNotebookInstanceLifecycleConfigInput$OnStart' => 'The shell script that runs every time you start a notebook instance, including when you create the notebook instance. The shell script must be a base64-encoded string.
', ], ], 'NotebookInstanceLifecycleConfigName' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceInput$LifecycleConfigName' => 'The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
', 'CreateNotebookInstanceLifecycleConfigInput$NotebookInstanceLifecycleConfigName' => 'The name of the lifecycle configuration.
', 'DeleteNotebookInstanceLifecycleConfigInput$NotebookInstanceLifecycleConfigName' => 'The name of the lifecycle configuration to delete.
', 'DescribeNotebookInstanceLifecycleConfigInput$NotebookInstanceLifecycleConfigName' => 'The name of the lifecycle configuration to describe.
', 'DescribeNotebookInstanceLifecycleConfigOutput$NotebookInstanceLifecycleConfigName' => 'The name of the lifecycle configuration.
', 'DescribeNotebookInstanceOutput$NotebookInstanceLifecycleConfigName' => 'Returns the name of a notebook instance lifecycle configuration.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance
', 'ListNotebookInstancesInput$NotebookInstanceLifecycleConfigNameContains' => 'A string in the name of a notebook instances lifecycle configuration associated with this notebook instance. This filter returns only notebook instances associated with a lifecycle configuration with a name that contains the specified string.
', 'NotebookInstanceLifecycleConfigSummary$NotebookInstanceLifecycleConfigName' => 'The name of the lifecycle configuration.
', 'NotebookInstanceSummary$NotebookInstanceLifecycleConfigName' => 'The name of a notebook instance lifecycle configuration associated with this notebook instance.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
', 'UpdateNotebookInstanceInput$LifecycleConfigName' => 'The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
', 'UpdateNotebookInstanceLifecycleConfigInput$NotebookInstanceLifecycleConfigName' => 'The name of the lifecycle configuration.
', ], ], 'NotebookInstanceLifecycleConfigNameContains' => [ 'base' => NULL, 'refs' => [ 'ListNotebookInstanceLifecycleConfigsInput$NameContains' => 'A string in the lifecycle configuration name. This filter returns only lifecycle configurations whose name contains the specified string.
', ], ], 'NotebookInstanceLifecycleConfigSortKey' => [ 'base' => NULL, 'refs' => [ 'ListNotebookInstanceLifecycleConfigsInput$SortBy' => 'Sorts the list of results. The default is CreationTime.
The sort order for results.
', ], ], 'NotebookInstanceLifecycleConfigSummary' => [ 'base' => 'Provides a summary of a notebook instance lifecycle configuration.
', 'refs' => [ 'NotebookInstanceLifecycleConfigSummaryList$member' => NULL, ], ], 'NotebookInstanceLifecycleConfigSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListNotebookInstanceLifecycleConfigsOutput$NotebookInstanceLifecycleConfigs' => 'An array of NotebookInstanceLifecycleConfiguration objects, each listing a lifecycle configuration.
Contains the notebook instance lifecycle configuration script.
Each lifecycle configuration script has a limit of 16384 characters.
The value of the $PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.
View Amazon CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances in log stream [notebook-instance-name]/[LifecycleConfigHook].
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
', 'refs' => [ 'NotebookInstanceLifecycleConfigList$member' => NULL, ], ], 'NotebookInstanceName' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceInput$NotebookInstanceName' => 'The name of the new notebook instance.
', 'CreatePresignedNotebookInstanceUrlInput$NotebookInstanceName' => 'The name of the notebook instance.
', 'DeleteNotebookInstanceInput$NotebookInstanceName' => 'The name of the SageMaker AI notebook instance to delete.
', 'DescribeNotebookInstanceInput$NotebookInstanceName' => 'The name of the notebook instance that you want information about.
', 'DescribeNotebookInstanceOutput$NotebookInstanceName' => 'The name of the SageMaker AI notebook instance.
', 'NotebookInstanceSummary$NotebookInstanceName' => 'The name of the notebook instance that you want a summary for.
', 'StartNotebookInstanceInput$NotebookInstanceName' => 'The name of the notebook instance to start.
', 'StopNotebookInstanceInput$NotebookInstanceName' => 'The name of the notebook instance to terminate.
', 'UpdateNotebookInstanceInput$NotebookInstanceName' => 'The name of the notebook instance to update.
', ], ], 'NotebookInstanceNameContains' => [ 'base' => NULL, 'refs' => [ 'ListNotebookInstancesInput$NameContains' => 'A string in the notebook instances\' name. This filter returns only notebook instances whose name contains the specified string.
', ], ], 'NotebookInstanceSortKey' => [ 'base' => NULL, 'refs' => [ 'ListNotebookInstancesInput$SortBy' => 'The field to sort results by. The default is Name.
The sort order for results.
', ], ], 'NotebookInstanceStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeNotebookInstanceOutput$NotebookInstanceStatus' => 'The status of the notebook instance.
', 'ListNotebookInstancesInput$StatusEquals' => 'A filter that returns only notebook instances with the specified status.
', 'NotebookInstanceSummary$NotebookInstanceStatus' => 'The status of the notebook instance.
', ], ], 'NotebookInstanceSummary' => [ 'base' => 'Provides summary information for an SageMaker AI notebook instance.
', 'refs' => [ 'NotebookInstanceSummaryList$member' => NULL, ], ], 'NotebookInstanceSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListNotebookInstancesOutput$NotebookInstances' => 'An array of NotebookInstanceSummary objects, one for each notebook instance.
A JSON object that contains the URL string.
', 'DescribeNotebookInstanceOutput$Url' => 'The URL that you use to connect to the Jupyter notebook that is running in your notebook instance.
', 'NotebookInstanceSummary$Url' => 'The URL that you use to connect to the Jupyter notebook running in your notebook instance.
', ], ], 'NotebookInstanceVolumeSizeInGB' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceInput$VolumeSizeInGB' => 'The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB.
', 'DescribeNotebookInstanceOutput$VolumeSizeInGB' => 'The size, in GB, of the ML storage volume attached to the notebook instance.
', 'UpdateNotebookInstanceInput$VolumeSizeInGB' => 'The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB. ML storage volumes are encrypted, so SageMaker AI can\'t determine the amount of available free space on the volume. Because of this, you can increase the volume size when you update a notebook instance, but you can\'t decrease the volume size. If you want to decrease the size of the ML storage volume in use, create a new notebook instance with the desired size.
', ], ], 'NotebookOutputOption' => [ 'base' => NULL, 'refs' => [ 'SharingSettings$NotebookOutputOption' => 'Whether to include the notebook cell output when sharing the notebook. The default is Disabled.
Configures Amazon SNS notifications of available or expiring work items for work teams.
', 'refs' => [ 'CreateWorkteamRequest$NotificationConfiguration' => 'Configures notification of workers regarding available or expiring work items.
', 'UpdateWorkteamRequest$NotificationConfiguration' => 'Configures SNS topic notifications for available or expiring work items
', 'Workteam$NotificationConfiguration' => 'Configures SNS notifications of available or expiring work items for work teams.
', ], ], 'NotificationTopicArn' => [ 'base' => NULL, 'refs' => [ 'NotificationConfiguration$NotificationTopicArn' => 'The ARN for the Amazon SNS topic to which notifications should be published.
', ], ], 'NumberOfAcceleratorDevices' => [ 'base' => NULL, 'refs' => [ 'InferenceComponentComputeResourceRequirements$NumberOfAcceleratorDevicesRequired' => 'The number of accelerators to allocate to run a model that you assign to an inference component. Accelerators include GPUs and Amazon Web Services Inferentia.
', ], ], 'NumberOfCpuCores' => [ 'base' => NULL, 'refs' => [ 'InferenceComponentComputeResourceRequirements$NumberOfCpuCoresRequired' => 'The number of CPU cores to allocate to run a model that you assign to an inference component.
', ], ], 'NumberOfHumanWorkersPerDataObject' => [ 'base' => NULL, 'refs' => [ 'HumanTaskConfig$NumberOfHumanWorkersPerDataObject' => 'The number of human workers that will label an object.
', 'LabelingJobForWorkteamSummary$NumberOfHumanWorkersPerDataObject' => 'The configured number of workers per data object.
', ], ], 'NumberOfSteps' => [ 'base' => NULL, 'refs' => [ 'Stairs$NumberOfSteps' => 'Specifies how many steps to perform during traffic.
', ], ], 'ObjectiveStatus' => [ 'base' => NULL, 'refs' => [ 'AutoMLCandidate$ObjectiveStatus' => 'The objective\'s status.
', 'HyperParameterTrainingJobSummary$ObjectiveStatus' => 'The status of the objective metric for the training job:
Succeeded: The final objective metric for the training job was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
Pending: The training job is in progress and evaluation of its final objective metric is pending.
Failed: The final objective metric for the training job was not evaluated, and was not used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.
The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
', 'ObjectiveStatusCounters$Pending' => 'The number of training jobs that are in progress and pending evaluation of their final objective metric.
', 'ObjectiveStatusCounters$Failed' => 'The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.
', ], ], 'ObjectiveStatusCounters' => [ 'base' => 'Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of their objective metric. The objective metric status shows whether the final objective metric for the training job has been evaluated by the tuning job and used in the hyperparameter tuning process.
', 'refs' => [ 'DescribeHyperParameterTuningJobResponse$ObjectiveStatusCounters' => 'The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status of their final objective metric, that this tuning job launched.
', 'HyperParameterTuningJobSearchEntity$ObjectiveStatusCounters' => NULL, 'HyperParameterTuningJobSummary$ObjectiveStatusCounters' => 'The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.
', ], ], 'OfflineStoreConfig' => [ 'base' => 'The configuration of an OfflineStore.
Provide an OfflineStoreConfig in a request to CreateFeatureGroup to create an OfflineStore.
To encrypt an OfflineStore using at rest data encryption, specify Amazon Web Services Key Management Service (KMS) key ID, or KMSKeyId, in S3StorageConfig.
Use this to configure an OfflineFeatureStore. This parameter allows you to specify:
The Amazon Simple Storage Service (Amazon S3) location of an OfflineStore.
A configuration for an Amazon Web Services Glue or Amazon Web Services Hive data catalog.
An KMS encryption key to encrypt the Amazon S3 location used for OfflineStore. If KMS encryption key is not specified, by default we encrypt all data at rest using Amazon Web Services KMS key. By defining your bucket-level key for SSE, you can reduce Amazon Web Services KMS requests costs by up to 99 percent.
Format for the offline store table. Supported formats are Glue (Default) and Apache Iceberg.
To learn more about this parameter, see OfflineStoreConfig.
', 'DescribeFeatureGroupResponse$OfflineStoreConfig' => 'The configuration of the offline store. It includes the following configurations:
Amazon S3 location of the offline store.
Configuration of the Glue data catalog.
Table format of the offline store.
Option to disable the automatic creation of a Glue table for the offline store.
Encryption configuration.
The status of OfflineStore.
The status of the OfflineStore. Notifies you if replicating data into the OfflineStore has failed. Returns either: Active or Blocked
Notifies you if replicating data into the OfflineStore has failed. Returns either: Active or Blocked.
An OfflineStore status. Filters by OfflineStore status.
An OfflineStore status.
Use this parameter to configure your OIDC Identity Provider (IdP).
', 'refs' => [ 'CreateWorkforceRequest$OidcConfig' => 'Use this parameter to configure a private workforce using your own OIDC Identity Provider.
Do not use CognitoConfig if you specify values for OidcConfig.
Use this parameter to update your OIDC Identity Provider (IdP) configuration for a workforce made using your own IdP.
', ], ], 'OidcConfigForResponse' => [ 'base' => 'Your OIDC IdP workforce configuration.
', 'refs' => [ 'Workforce$OidcConfig' => 'The configuration of an OIDC Identity Provider (IdP) private workforce.
', ], ], 'OidcEndpoint' => [ 'base' => NULL, 'refs' => [ 'OidcConfig$Issuer' => 'The OIDC IdP issuer used to configure your private workforce.
', 'OidcConfig$AuthorizationEndpoint' => 'The OIDC IdP authorization endpoint used to configure your private workforce.
', 'OidcConfig$TokenEndpoint' => 'The OIDC IdP token endpoint used to configure your private workforce.
', 'OidcConfig$UserInfoEndpoint' => 'The OIDC IdP user information endpoint used to configure your private workforce.
', 'OidcConfig$LogoutEndpoint' => 'The OIDC IdP logout endpoint used to configure your private workforce.
', 'OidcConfig$JwksUri' => 'The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.
', 'OidcConfigForResponse$Issuer' => 'The OIDC IdP issuer used to configure your private workforce.
', 'OidcConfigForResponse$AuthorizationEndpoint' => 'The OIDC IdP authorization endpoint used to configure your private workforce.
', 'OidcConfigForResponse$TokenEndpoint' => 'The OIDC IdP token endpoint used to configure your private workforce.
', 'OidcConfigForResponse$UserInfoEndpoint' => 'The OIDC IdP user information endpoint used to configure your private workforce.
', 'OidcConfigForResponse$LogoutEndpoint' => 'The OIDC IdP logout endpoint used to configure your private workforce.
', 'OidcConfigForResponse$JwksUri' => 'The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.
', ], ], 'OidcMemberDefinition' => [ 'base' => 'A list of user groups that exist in your OIDC Identity Provider (IdP). One to ten groups can be used to create a single private work team. When you add a user group to the list of Groups, you can add that user group to one or more private work teams. If you add a user group to a private work team, all workers in that user group are added to the work team.
A list user groups that exist in your OIDC Identity Provider (IdP). One to ten groups can be used to create a single private work team. When you add a user group to the list of Groups, you can add that user group to one or more private work teams. If you add a user group to a private work team, all workers in that user group are added to the work team.
A flag indicating whether deep health checks should be performed when the cluster instance group is created or updated.
', 'ClusterInstanceGroupSpecification$OnStartDeepHealthChecks' => 'A flag indicating whether deep health checks should be performed when the cluster instance group is created or updated.
', ], ], 'OnlineStoreConfig' => [ 'base' => 'Use this to specify the Amazon Web Services Key Management Service (KMS) Key ID, or KMSKeyId, for at rest data encryption. You can turn OnlineStore on or off by specifying the EnableOnlineStore flag at General Assembly.
The default value is False.
You can turn the OnlineStore on or off by specifying True for the EnableOnlineStore flag in OnlineStoreConfig.
You can also include an Amazon Web Services KMS key ID (KMSKeyId) for at-rest encryption of the OnlineStore.
The default value is False.
The configuration for the OnlineStore.
Updates the feature group online store configuration.
', 'refs' => [ 'UpdateFeatureGroupRequest$OnlineStoreConfig' => 'Updates the feature group online store configuration.
', ], ], 'OnlineStoreSecurityConfig' => [ 'base' => 'The security configuration for OnlineStore.
Use to specify KMS Key ID (KMSKeyId) for at-rest encryption of your OnlineStore.
The size of the OnlineStore in bytes.
A Boolean binary operator that is used to evaluate the filter. The operator field contains one of the following values:
The value of Name equals Value.
The value of Name doesn\'t equal Value.
The Name property exists.
The Name property does not exist.
The value of Name is greater than Value. Not supported for text properties.
The value of Name is greater than or equal to Value. Not supported for text properties.
The value of Name is less than Value. Not supported for text properties.
The value of Name is less than or equal to Value. Not supported for text properties.
The value of Name is one of the comma delimited strings in Value. Only supported for text properties.
The value of Name contains the string Value. Only supported for text properties.
A SearchExpression can include the Contains operator multiple times when the value of Name is one of the following:
Experiment.DisplayName
Experiment.ExperimentName
Experiment.Tags
Trial.DisplayName
Trial.TrialName
Trial.Tags
TrialComponent.DisplayName
TrialComponent.TrialComponentName
TrialComponent.Tags
TrialComponent.InputArtifacts
TrialComponent.OutputArtifacts
A SearchExpression can include only one Contains operator for all other values of Name. In these cases, if you include multiple Contains operators in the SearchExpression, the result is the following error message: "\'CONTAINS\' operator usage limit of 1 exceeded."
Settings for an optimization technique that you apply with a model optimization job.
', 'refs' => [ 'OptimizationConfigs$member' => NULL, ], ], 'OptimizationConfigs' => [ 'base' => NULL, 'refs' => [ 'CreateOptimizationJobRequest$OptimizationConfigs' => 'Settings for each of the optimization techniques that the job applies.
', 'DescribeOptimizationJobResponse$OptimizationConfigs' => 'Settings for each of the optimization techniques that the job applies.
', ], ], 'OptimizationContainerImage' => [ 'base' => NULL, 'refs' => [ 'ModelCompilationConfig$Image' => 'The URI of an LMI DLC in Amazon ECR. SageMaker uses this image to run the optimization.
', 'ModelQuantizationConfig$Image' => 'The URI of an LMI DLC in Amazon ECR. SageMaker uses this image to run the optimization.
', 'ModelShardingConfig$Image' => 'The URI of an LMI DLC in Amazon ECR. SageMaker uses this image to run the optimization.
', 'OptimizationOutput$RecommendedInferenceImage' => 'The image that SageMaker recommends that you use to host the optimized model that you created with an optimization job.
', ], ], 'OptimizationJobArn' => [ 'base' => NULL, 'refs' => [ 'CreateOptimizationJobResponse$OptimizationJobArn' => 'The Amazon Resource Name (ARN) of the optimization job.
', 'DescribeOptimizationJobResponse$OptimizationJobArn' => 'The Amazon Resource Name (ARN) of the optimization job.
', 'OptimizationJobSummary$OptimizationJobArn' => 'The Amazon Resource Name (ARN) of the optimization job.
', ], ], 'OptimizationJobDeploymentInstanceType' => [ 'base' => NULL, 'refs' => [ 'CreateOptimizationJobRequest$DeploymentInstanceType' => 'The type of instance that hosts the optimized model that you create with the optimization job.
', 'DescribeOptimizationJobResponse$DeploymentInstanceType' => 'The type of instance that hosts the optimized model that you create with the optimization job.
', 'OptimizationJobSummary$DeploymentInstanceType' => 'The type of instance that hosts the optimized model that you create with the optimization job.
', ], ], 'OptimizationJobEnvironmentVariables' => [ 'base' => NULL, 'refs' => [ 'CreateOptimizationJobRequest$OptimizationEnvironment' => 'The environment variables to set in the model container.
', 'DescribeOptimizationJobResponse$OptimizationEnvironment' => 'The environment variables to set in the model container.
', 'ModelCompilationConfig$OverrideEnvironment' => 'Environment variables that override the default ones in the model container.
', 'ModelQuantizationConfig$OverrideEnvironment' => 'Environment variables that override the default ones in the model container.
', 'ModelShardingConfig$OverrideEnvironment' => 'Environment variables that override the default ones in the model container.
', ], ], 'OptimizationJobModelSource' => [ 'base' => 'The location of the source model to optimize with an optimization job.
', 'refs' => [ 'CreateOptimizationJobRequest$ModelSource' => 'The location of the source model to optimize with an optimization job.
', 'DescribeOptimizationJobResponse$ModelSource' => 'The location of the source model to optimize with an optimization job.
', ], ], 'OptimizationJobModelSourceS3' => [ 'base' => 'The Amazon S3 location of a source model to optimize with an optimization job.
', 'refs' => [ 'OptimizationJobModelSource$S3' => 'The Amazon S3 location of a source model to optimize with an optimization job.
', ], ], 'OptimizationJobOutputConfig' => [ 'base' => 'Details for where to store the optimized model that you create with the optimization job.
', 'refs' => [ 'CreateOptimizationJobRequest$OutputConfig' => 'Details for where to store the optimized model that you create with the optimization job.
', 'DescribeOptimizationJobResponse$OutputConfig' => 'Details for where to store the optimized model that you create with the optimization job.
', ], ], 'OptimizationJobStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeOptimizationJobResponse$OptimizationJobStatus' => 'The current status of the optimization job.
', 'ListOptimizationJobsRequest$StatusEquals' => 'Filters the results to only those optimization jobs with the specified status.
', 'OptimizationJobSummary$OptimizationJobStatus' => 'The current status of the optimization job.
', ], ], 'OptimizationJobSummaries' => [ 'base' => NULL, 'refs' => [ 'ListOptimizationJobsResponse$OptimizationJobSummaries' => 'A list of optimization jobs and their properties that matches any of the filters you specified in the request.
', ], ], 'OptimizationJobSummary' => [ 'base' => 'Summarizes an optimization job by providing some of its key properties.
', 'refs' => [ 'OptimizationJobSummaries$member' => NULL, ], ], 'OptimizationModelAcceptEula' => [ 'base' => NULL, 'refs' => [ 'OptimizationModelAccessConfig$AcceptEula' => 'Specifies agreement to the model end-user license agreement (EULA). The AcceptEula value must be explicitly defined as True in order to accept the EULA that this model requires. You are responsible for reviewing and complying with any applicable license terms and making sure they are acceptable for your use case before downloading or using a model.
The access configuration settings for the source ML model for an optimization job, where you can accept the model end-user license agreement (EULA).
', 'refs' => [ 'OptimizationJobModelSourceS3$ModelAccessConfig' => 'The access configuration settings for the source ML model for an optimization job, where you can accept the model end-user license agreement (EULA).
', ], ], 'OptimizationOutput' => [ 'base' => 'Output values produced by an optimization job.
', 'refs' => [ 'DescribeOptimizationJobResponse$OptimizationOutput' => 'Output values produced by an optimization job.
', ], ], 'OptimizationType' => [ 'base' => NULL, 'refs' => [ 'OptimizationTypes$member' => NULL, ], ], 'OptimizationTypes' => [ 'base' => NULL, 'refs' => [ 'OptimizationJobSummary$OptimizationTypes' => 'The optimization techniques that are applied by the optimization job.
', ], ], 'OptimizationVpcConfig' => [ 'base' => 'A VPC in Amazon VPC that\'s accessible to an optimized that you create with an optimization job. You can control access to and from your resources by configuring a VPC. For more information, see Give SageMaker Access to Resources in your Amazon VPC.
', 'refs' => [ 'CreateOptimizationJobRequest$VpcConfig' => 'A VPC in Amazon VPC that your optimized model has access to.
', 'DescribeOptimizationJobResponse$VpcConfig' => 'A VPC in Amazon VPC that your optimized model has access to.
', ], ], 'OptimizationVpcSecurityGroupId' => [ 'base' => NULL, 'refs' => [ 'OptimizationVpcSecurityGroupIds$member' => NULL, ], ], 'OptimizationVpcSecurityGroupIds' => [ 'base' => NULL, 'refs' => [ 'OptimizationVpcConfig$SecurityGroupIds' => 'The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
The ID of the subnets in the VPC to which you want to connect your optimized model.
', ], ], 'OptionalDouble' => [ 'base' => NULL, 'refs' => [ 'TrialComponentMetricSummary$Max' => 'The maximum value of the metric.
', 'TrialComponentMetricSummary$Min' => 'The minimum value of the metric.
', 'TrialComponentMetricSummary$Last' => 'The most recent value of the metric.
', 'TrialComponentMetricSummary$Avg' => 'The average value of the metric.
', 'TrialComponentMetricSummary$StdDev' => 'The standard deviation of the metric.
', ], ], 'OptionalInteger' => [ 'base' => NULL, 'refs' => [ 'TrialComponentMetricSummary$Count' => 'The number of samples used to generate the metric.
', ], ], 'OptionalVolumeSizeInGB' => [ 'base' => NULL, 'refs' => [ 'DebugRuleConfiguration$VolumeSizeInGB' => 'The size, in GB, of the ML storage volume attached to the processing instance.
', 'HyperParameterTuningResourceConfig$VolumeSizeInGB' => 'The volume size in GB for the storage volume to be used in processing hyperparameter optimization jobs (optional). These volumes store model artifacts, incremental states and optionally, scratch space for training algorithms. Do not provide a value for this parameter if a value for InstanceConfigs is also specified.
Some instance types have a fixed total local storage size. If you select one of these instances for training, VolumeSizeInGB cannot be greater than this total size. For a list of instance types with local instance storage and their sizes, see instance store volumes.
SageMaker supports only the General Purpose SSD (gp2) storage volume type.
The size, in GB, of the ML storage volume attached to the processing instance.
', ], ], 'OrderKey' => [ 'base' => NULL, 'refs' => [ 'ListEndpointConfigsInput$SortOrder' => 'The sort order for results. The default is Descending.
The sort order for results. The default is Descending.
The sort order for results. The default is Descending.
The sort order for results. The default is Descending.
The model output compression type. Select None to output an uncompressed model, recommended for large model outputs. Defaults to gzip.
Contains information about the output location for the compiled model and the target device that the model runs on. TargetDevice and TargetPlatform are mutually exclusive, so you need to choose one between the two to specify your target device or platform. If you cannot find your device you want to use from the TargetDevice list, use TargetPlatform to describe the platform of your edge device and CompilerOptions if there are specific settings that are required or recommended to use for particular TargetPlatform.
Provides information about the output location for the compiled model and the target device the model runs on.
', 'DescribeCompilationJobResponse$OutputConfig' => 'Information about the output location for the compiled model and the target device that the model runs on.
', ], ], 'OutputDataConfig' => [ 'base' => 'Provides information about how to store model training results (model artifacts).
', 'refs' => [ 'CreateTrainingJobRequest$OutputDataConfig' => 'Specifies the path to the S3 location where you want to store model artifacts. SageMaker creates subfolders for the artifacts.
', 'DescribeTrainingJobResponse$OutputDataConfig' => 'The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates subfolders for model artifacts.
', 'HyperParameterTrainingJobDefinition$OutputDataConfig' => 'Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning job launches.
', 'TrainingJob$OutputDataConfig' => 'The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates subfolders for model artifacts.
', 'TrainingJobDefinition$OutputDataConfig' => 'the path to the S3 bucket where you want to store model artifacts. SageMaker creates subfolders for the artifacts.
', ], ], 'OutputParameter' => [ 'base' => 'An output parameter of a pipeline step.
', 'refs' => [ 'OutputParameterList$member' => NULL, ], ], 'OutputParameterList' => [ 'base' => NULL, 'refs' => [ 'CallbackStepMetadata$OutputParameters' => 'A list of the output parameters of the callback step.
', 'LambdaStepMetadata$OutputParameters' => 'A list of the output parameters of the Lambda step.
', 'SendPipelineExecutionStepSuccessRequest$OutputParameters' => 'A list of the output parameters of the callback step.
', ], ], 'OwnershipSettings' => [ 'base' => 'The collection of ownership settings for a space.
', 'refs' => [ 'CreateSpaceRequest$OwnershipSettings' => 'A collection of ownership settings.
', 'DescribeSpaceResponse$OwnershipSettings' => 'The collection of ownership settings for a space.
', ], ], 'OwnershipSettingsSummary' => [ 'base' => 'Specifies summary information about the ownership settings.
', 'refs' => [ 'SpaceDetails$OwnershipSettingsSummary' => 'Specifies summary information about the ownership settings.
', ], ], 'PaginationToken' => [ 'base' => NULL, 'refs' => [ 'ListEndpointConfigsInput$NextToken' => 'If the result of the previous ListEndpointConfig request was truncated, the response includes a NextToken. To retrieve the next set of endpoint configurations, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of endpoint configurations, use it in the subsequent request
', 'ListEndpointsInput$NextToken' => 'If the result of a ListEndpoints request was truncated, the response includes a NextToken. To retrieve the next set of endpoints, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of training jobs, use it in the subsequent request.
', 'ListInferenceComponentsInput$NextToken' => 'A token that you use to get the next set of results following a truncated response. If the response to the previous request was truncated, that response provides the value for this token.
', 'ListInferenceComponentsOutput$NextToken' => 'The token to use in a subsequent request to get the next set of results following a truncated response.
', 'ListModelsInput$NextToken' => 'If the response to a previous ListModels request was truncated, the response includes a NextToken. To retrieve the next set of models, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of models, use it in the subsequent request.
', ], ], 'ParallelismConfiguration' => [ 'base' => 'Configuration that controls the parallelism of the pipeline. By default, the parallelism configuration specified applies to all executions of the pipeline unless overridden.
', 'refs' => [ 'CreatePipelineRequest$ParallelismConfiguration' => 'This is the configuration that controls the parallelism of the pipeline. If specified, it applies to all runs of this pipeline by default.
', 'DescribePipelineExecutionResponse$ParallelismConfiguration' => 'The parallelism configuration applied to the pipeline.
', 'DescribePipelineResponse$ParallelismConfiguration' => 'Lists the parallelism configuration applied to the pipeline.
', 'Pipeline$ParallelismConfiguration' => 'The parallelism configuration applied to the pipeline.
', 'PipelineExecution$ParallelismConfiguration' => 'The parallelism configuration applied to the pipeline execution.
', 'RetryPipelineExecutionRequest$ParallelismConfiguration' => 'This configuration, if specified, overrides the parallelism configuration of the parent pipeline.
', 'StartPipelineExecutionRequest$ParallelismConfiguration' => 'This configuration, if specified, overrides the parallelism configuration of the parent pipeline for this specific run.
', 'UpdatePipelineExecutionRequest$ParallelismConfiguration' => 'This configuration, if specified, overrides the parallelism configuration of the parent pipeline for this specific run.
', 'UpdatePipelineRequest$ParallelismConfiguration' => 'If specified, it applies to all executions of this pipeline by default.
', ], ], 'Parameter' => [ 'base' => 'Assigns a value to a named Pipeline parameter.
', 'refs' => [ 'ParameterList$member' => NULL, ], ], 'ParameterKey' => [ 'base' => NULL, 'refs' => [ 'AutoParameter$Name' => 'The name of the hyperparameter to optimize using Autotune.
', 'CategoricalParameterRange$Name' => 'The name of the categorical hyperparameter to tune.
', 'ContinuousParameterRange$Name' => 'The name of the continuous hyperparameter to tune.
', 'IntegerParameterRange$Name' => 'The name of the hyperparameter to search.
', ], ], 'ParameterList' => [ 'base' => NULL, 'refs' => [ 'ListPipelineParametersForExecutionResponse$PipelineParameters' => 'Contains a list of pipeline parameters. This list can be empty.
', 'PipelineExecution$PipelineParameters' => 'Contains a list of pipeline parameters. This list can be empty.
', 'StartPipelineExecutionRequest$PipelineParameters' => 'Contains a list of pipeline parameters. This list can be empty.
', ], ], 'ParameterName' => [ 'base' => NULL, 'refs' => [ 'HyperParameterSpecification$Name' => 'The name of this hyperparameter. The name must be unique.
', ], ], 'ParameterRange' => [ 'base' => 'Defines the possible values for categorical, continuous, and integer hyperparameters to be used by an algorithm.
', 'refs' => [ 'HyperParameterSpecification$Range' => 'The allowed range for this hyperparameter.
', ], ], 'ParameterRanges' => [ 'base' => 'Specifies ranges of integer, continuous, and categorical hyperparameters that a hyperparameter tuning job searches. The hyperparameter tuning job launches training jobs with hyperparameter values within these ranges to find the combination of values that result in the training job with the best performance as measured by the objective metric of the hyperparameter tuning job.
The maximum number of items specified for Array Members refers to the maximum number of hyperparameters for each range and also the maximum for the hyperparameter tuning job itself. That is, the sum of the number of hyperparameters for all the ranges can\'t exceed the maximum number specified.
The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches over to find the optimal configuration for the highest model performance against your chosen objective metric.
', ], ], 'ParameterType' => [ 'base' => NULL, 'refs' => [ 'HyperParameterSpecification$Type' => 'The type of this hyperparameter. The valid types are Integer, Continuous, Categorical, and FreeText.
An example value of the hyperparameter to optimize using Autotune.
', 'ContinuousParameterRange$MinValue' => 'The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.
The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.
The minimum floating-point value allowed.
', 'ContinuousParameterRangeSpecification$MaxValue' => 'The maximum floating-point value allowed.
', 'IntegerParameterRange$MinValue' => 'The minimum value of the hyperparameter to search.
', 'IntegerParameterRange$MaxValue' => 'The maximum value of the hyperparameter to search.
', 'IntegerParameterRangeSpecification$MinValue' => 'The minimum integer value allowed.
', 'IntegerParameterRangeSpecification$MaxValue' => 'The maximum integer value allowed.
', 'ParameterValues$member' => NULL, ], ], 'ParameterValues' => [ 'base' => NULL, 'refs' => [ 'CategoricalParameterRange$Values' => 'A list of the categories for the hyperparameter.
', 'CategoricalParameterRangeSpecification$Values' => 'The allowed categories for the hyperparameter.
', ], ], 'Parent' => [ 'base' => 'The trial that a trial component is associated with and the experiment the trial is part of. A component might not be associated with a trial. A component can be associated with multiple trials.
', 'refs' => [ 'Parents$member' => NULL, ], ], 'ParentHyperParameterTuningJob' => [ 'base' => 'A previously completed or stopped hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
', 'refs' => [ 'ParentHyperParameterTuningJobs$member' => NULL, ], ], 'ParentHyperParameterTuningJobs' => [ 'base' => NULL, 'refs' => [ 'HyperParameterTuningJobWarmStartConfig$ParentHyperParameterTuningJobs' => 'An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job. For more information about warm starting a hyperparameter tuning job, see Using a Previous Hyperparameter Tuning Job as a Starting Point.
Hyperparameter tuning jobs created before October 1, 2018 cannot be used as parent jobs for warm start tuning jobs.
', ], ], 'Parents' => [ 'base' => NULL, 'refs' => [ 'TrialComponent$Parents' => 'An array of the parents of the component. A parent is a trial the component is associated with and the experiment the trial is part of. A component might not have any parents.
', ], ], 'PartnerAppAdminUserList' => [ 'base' => NULL, 'refs' => [ 'PartnerAppConfig$AdminUsers' => 'The list of users that are given admin access to the SageMaker Partner AI App.
', ], ], 'PartnerAppArguments' => [ 'base' => NULL, 'refs' => [ 'PartnerAppConfig$Arguments' => 'This is a map of required inputs for a SageMaker Partner AI App. Based on the application type, the map is populated with a key and value pair that is specific to the user and application.
', ], ], 'PartnerAppArn' => [ 'base' => NULL, 'refs' => [ 'CreatePartnerAppPresignedUrlRequest$Arn' => 'The ARN of the SageMaker Partner AI App to create the presigned URL for.
', 'CreatePartnerAppResponse$Arn' => 'The ARN of the SageMaker Partner AI App.
', 'DeletePartnerAppRequest$Arn' => 'The ARN of the SageMaker Partner AI App to delete.
', 'DeletePartnerAppResponse$Arn' => 'The ARN of the SageMaker Partner AI App that was deleted.
', 'DescribePartnerAppRequest$Arn' => 'The ARN of the SageMaker Partner AI App to describe.
', 'DescribePartnerAppResponse$Arn' => 'The ARN of the SageMaker Partner AI App that was described.
', 'PartnerAppSummary$Arn' => 'The ARN of the SageMaker Partner AI App.
', 'UpdatePartnerAppRequest$Arn' => 'The ARN of the SageMaker Partner AI App to update.
', 'UpdatePartnerAppResponse$Arn' => 'The ARN of the SageMaker Partner AI App that was updated.
', ], ], 'PartnerAppAuthType' => [ 'base' => NULL, 'refs' => [ 'CreatePartnerAppRequest$AuthType' => 'The authorization type that users use to access the SageMaker Partner AI App.
', 'DescribePartnerAppResponse$AuthType' => 'The authorization type that users use to access the SageMaker Partner AI App.
', ], ], 'PartnerAppConfig' => [ 'base' => 'Configuration settings for the SageMaker Partner AI App.
', 'refs' => [ 'CreatePartnerAppRequest$ApplicationConfig' => 'Configuration settings for the SageMaker Partner AI App.
', 'DescribePartnerAppResponse$ApplicationConfig' => 'Configuration settings for the SageMaker Partner AI App.
', 'UpdatePartnerAppRequest$ApplicationConfig' => 'Configuration settings for the SageMaker Partner AI App.
', ], ], 'PartnerAppMaintenanceConfig' => [ 'base' => 'Maintenance configuration settings for the SageMaker Partner AI App.
', 'refs' => [ 'CreatePartnerAppRequest$MaintenanceConfig' => 'Maintenance configuration settings for the SageMaker Partner AI App.
', 'DescribePartnerAppResponse$MaintenanceConfig' => 'Maintenance configuration settings for the SageMaker Partner AI App.
', 'UpdatePartnerAppRequest$MaintenanceConfig' => 'Maintenance configuration settings for the SageMaker Partner AI App.
', ], ], 'PartnerAppName' => [ 'base' => NULL, 'refs' => [ 'CreatePartnerAppRequest$Name' => 'The name to give the SageMaker Partner AI App.
', 'DescribePartnerAppResponse$Name' => 'The name of the SageMaker Partner AI App.
', 'PartnerAppSummary$Name' => 'The name of the SageMaker Partner AI App.
', ], ], 'PartnerAppStatus' => [ 'base' => NULL, 'refs' => [ 'DescribePartnerAppResponse$Status' => 'The status of the SageMaker Partner AI App.
', 'PartnerAppSummary$Status' => 'The status of the SageMaker Partner AI App.
', ], ], 'PartnerAppSummaries' => [ 'base' => NULL, 'refs' => [ 'ListPartnerAppsResponse$Summaries' => 'The information related to each of the SageMaker Partner AI Apps in an account.
', ], ], 'PartnerAppSummary' => [ 'base' => 'A subset of information related to a SageMaker Partner AI App. This information is used as part of the ListPartnerApps API response.
The type of SageMaker Partner AI App to create. Must be one of the following: lakera-guard, comet, deepchecks-llm-evaluation, or fiddler.
The type of SageMaker Partner AI App. Must be one of the following: lakera-guard, comet, deepchecks-llm-evaluation, or fiddler.
The type of SageMaker Partner AI App to create. Must be one of the following: lakera-guard, comet, deepchecks-llm-evaluation, or fiddler.
The summary of an in-progress deployment when an endpoint is creating or updating with a new endpoint configuration.
', 'refs' => [ 'DescribeEndpointOutput$PendingDeploymentSummary' => 'Returns the summary of an in-progress deployment. This field is only returned when the endpoint is creating or updating with a new endpoint configuration.
', ], ], 'PendingProductionVariantSummary' => [ 'base' => 'The production variant summary for a deployment when an endpoint is creating or updating with the CreateEndpoint or UpdateEndpoint operations. Describes the VariantStatus , weight and capacity for a production variant associated with an endpoint.
An array of PendingProductionVariantSummary objects, one for each model hosted behind this endpoint for the in-progress deployment.
', 'PendingDeploymentSummary$ShadowProductionVariants' => 'An array of PendingProductionVariantSummary objects, one for each model hosted behind this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants for the in-progress deployment.
Percentage of devices in the fleet to deploy to the current stage.
', 'ShadowModelVariantConfig$SamplingPercentage' => 'The percentage of inference requests that Amazon SageMaker replicates from the production variant to the shadow variant.
', ], ], 'Phase' => [ 'base' => 'Defines the traffic pattern.
', 'refs' => [ 'Phases$member' => NULL, ], ], 'Phases' => [ 'base' => NULL, 'refs' => [ 'TrafficPattern$Phases' => 'Defines the phases traffic specification.
', ], ], 'Pipeline' => [ 'base' => 'A SageMaker Model Building Pipeline instance.
', 'refs' => [ 'SearchRecord$Pipeline' => NULL, ], ], 'PipelineArn' => [ 'base' => NULL, 'refs' => [ 'CreatePipelineResponse$PipelineArn' => 'The Amazon Resource Name (ARN) of the created pipeline.
', 'DeletePipelineResponse$PipelineArn' => 'The Amazon Resource Name (ARN) of the pipeline to delete.
', 'DescribePipelineExecutionResponse$PipelineArn' => 'The Amazon Resource Name (ARN) of the pipeline.
', 'DescribePipelineResponse$PipelineArn' => 'The Amazon Resource Name (ARN) of the pipeline.
', 'Pipeline$PipelineArn' => 'The Amazon Resource Name (ARN) of the pipeline.
', 'PipelineExecution$PipelineArn' => 'The Amazon Resource Name (ARN) of the pipeline that was executed.
', 'PipelineSummary$PipelineArn' => 'The Amazon Resource Name (ARN) of the pipeline.
', 'UpdatePipelineResponse$PipelineArn' => 'The Amazon Resource Name (ARN) of the updated pipeline.
', ], ], 'PipelineDefinition' => [ 'base' => NULL, 'refs' => [ 'CreatePipelineRequest$PipelineDefinition' => 'The JSON pipeline definition of the pipeline.
', 'DescribePipelineDefinitionForExecutionResponse$PipelineDefinition' => 'The JSON pipeline definition.
', 'DescribePipelineResponse$PipelineDefinition' => 'The JSON pipeline definition.
', 'UpdatePipelineRequest$PipelineDefinition' => 'The JSON pipeline definition.
', ], ], 'PipelineDefinitionS3Location' => [ 'base' => 'The location of the pipeline definition stored in Amazon S3.
', 'refs' => [ 'CreatePipelineRequest$PipelineDefinitionS3Location' => 'The location of the pipeline definition stored in Amazon S3. If specified, SageMaker will retrieve the pipeline definition from this location.
', 'UpdatePipelineRequest$PipelineDefinitionS3Location' => 'The location of the pipeline definition stored in Amazon S3. If specified, SageMaker will retrieve the pipeline definition from this location.
', ], ], 'PipelineDescription' => [ 'base' => NULL, 'refs' => [ 'CreatePipelineRequest$PipelineDescription' => 'A description of the pipeline.
', 'DescribePipelineResponse$PipelineDescription' => 'The description of the pipeline.
', 'Pipeline$PipelineDescription' => 'The description of the pipeline.
', 'PipelineSummary$PipelineDescription' => 'The description of the pipeline.
', 'UpdatePipelineRequest$PipelineDescription' => 'The description of the pipeline.
', ], ], 'PipelineExecution' => [ 'base' => 'An execution of a pipeline.
', 'refs' => [ 'SearchRecord$PipelineExecution' => NULL, ], ], 'PipelineExecutionArn' => [ 'base' => NULL, 'refs' => [ 'CacheHitResult$SourcePipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'DescribePipelineDefinitionForExecutionRequest$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'DescribePipelineExecutionRequest$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'DescribePipelineExecutionResponse$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'ListPipelineExecutionStepsRequest$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'ListPipelineParametersForExecutionRequest$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'PipelineExecution$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'PipelineExecutionSummary$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'RetryPipelineExecutionRequest$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'RetryPipelineExecutionResponse$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'SelectiveExecutionConfig$SourcePipelineExecutionArn' => 'The ARN from a reference execution of the current pipeline. Used to copy input collaterals needed for the selected steps to run. The execution status of the pipeline can be either Failed or Success.
This field is required if the steps you specify for SelectedSteps depend on output collaterals from any non-specified pipeline steps. For more information, see Selective Execution for Pipeline Steps.
The ARN from an execution of the current pipeline.
', 'SendPipelineExecutionStepFailureResponse$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'SendPipelineExecutionStepSuccessResponse$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'StartPipelineExecutionResponse$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'StopPipelineExecutionRequest$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'StopPipelineExecutionResponse$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'UpdatePipelineExecutionRequest$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'UpdatePipelineExecutionResponse$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the updated pipeline execution.
', ], ], 'PipelineExecutionDescription' => [ 'base' => NULL, 'refs' => [ 'DescribePipelineExecutionResponse$PipelineExecutionDescription' => 'The description of the pipeline execution.
', 'PipelineExecution$PipelineExecutionDescription' => 'The description of the pipeline execution.
', 'PipelineExecutionSummary$PipelineExecutionDescription' => 'The description of the pipeline execution.
', 'StartPipelineExecutionRequest$PipelineExecutionDescription' => 'The description of the pipeline execution.
', 'UpdatePipelineExecutionRequest$PipelineExecutionDescription' => 'The description of the pipeline execution.
', ], ], 'PipelineExecutionFailureReason' => [ 'base' => NULL, 'refs' => [ 'DescribePipelineExecutionResponse$FailureReason' => 'If the execution failed, a message describing why.
', 'PipelineExecution$FailureReason' => 'If the execution failed, a message describing why.
', ], ], 'PipelineExecutionName' => [ 'base' => NULL, 'refs' => [ 'DescribePipelineExecutionResponse$PipelineExecutionDisplayName' => 'The display name of the pipeline execution.
', 'PipelineExecution$PipelineExecutionDisplayName' => 'The display name of the pipeline execution.
', 'PipelineExecutionSummary$PipelineExecutionDisplayName' => 'The display name of the pipeline execution.
', 'StartPipelineExecutionRequest$PipelineExecutionDisplayName' => 'The display name of the pipeline execution.
', 'UpdatePipelineExecutionRequest$PipelineExecutionDisplayName' => 'The display name of the pipeline execution.
', ], ], 'PipelineExecutionStatus' => [ 'base' => NULL, 'refs' => [ 'DescribePipelineExecutionResponse$PipelineExecutionStatus' => 'The status of the pipeline execution.
', 'PipelineExecution$PipelineExecutionStatus' => 'The status of the pipeline status.
', 'PipelineExecutionSummary$PipelineExecutionStatus' => 'The status of the pipeline execution.
', ], ], 'PipelineExecutionStep' => [ 'base' => 'An execution of a step in a pipeline.
', 'refs' => [ 'PipelineExecutionStepList$member' => NULL, ], ], 'PipelineExecutionStepList' => [ 'base' => NULL, 'refs' => [ 'ListPipelineExecutionStepsResponse$PipelineExecutionSteps' => 'A list of PipeLineExecutionStep objects. Each PipeLineExecutionStep consists of StepName, StartTime, EndTime, StepStatus, and Metadata. Metadata is an object with properties for each job that contains relevant information about the job created by the step.
Metadata for a step execution.
', 'refs' => [ 'PipelineExecutionStep$Metadata' => 'Metadata to run the pipeline step.
', ], ], 'PipelineExecutionSummary' => [ 'base' => 'A pipeline execution summary.
', 'refs' => [ 'PipelineExecutionSummaryList$member' => NULL, ], ], 'PipelineExecutionSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListPipelineExecutionsResponse$PipelineExecutionSummaries' => 'Contains a sorted list of pipeline execution summary objects matching the specified filters. Each run summary includes the Amazon Resource Name (ARN) of the pipeline execution, the run date, and the status. This list can be empty.
', ], ], 'PipelineExperimentConfig' => [ 'base' => 'Specifies the names of the experiment and trial created by a pipeline.
', 'refs' => [ 'DescribePipelineExecutionResponse$PipelineExperimentConfig' => NULL, 'PipelineExecution$PipelineExperimentConfig' => NULL, ], ], 'PipelineName' => [ 'base' => NULL, 'refs' => [ 'CreatePipelineRequest$PipelineName' => 'The name of the pipeline.
', 'CreatePipelineRequest$PipelineDisplayName' => 'The display name of the pipeline.
', 'DeletePipelineRequest$PipelineName' => 'The name of the pipeline to delete.
', 'DescribePipelineResponse$PipelineName' => 'The name of the pipeline.
', 'DescribePipelineResponse$PipelineDisplayName' => 'The display name of the pipeline.
', 'ListPipelinesRequest$PipelineNamePrefix' => 'The prefix of the pipeline name.
', 'Pipeline$PipelineName' => 'The name of the pipeline.
', 'Pipeline$PipelineDisplayName' => 'The display name of the pipeline.
', 'PipelineSummary$PipelineName' => 'The name of the pipeline.
', 'PipelineSummary$PipelineDisplayName' => 'The display name of the pipeline.
', 'UpdatePipelineRequest$PipelineName' => 'The name of the pipeline to update.
', 'UpdatePipelineRequest$PipelineDisplayName' => 'The display name of the pipeline.
', ], ], 'PipelineNameOrArn' => [ 'base' => NULL, 'refs' => [ 'DescribePipelineRequest$PipelineName' => 'The name or Amazon Resource Name (ARN) of the pipeline to describe.
', 'ListPipelineExecutionsRequest$PipelineName' => 'The name or Amazon Resource Name (ARN) of the pipeline.
', 'StartPipelineExecutionRequest$PipelineName' => 'The name or Amazon Resource Name (ARN) of the pipeline.
', ], ], 'PipelineParameterName' => [ 'base' => NULL, 'refs' => [ 'Parameter$Name' => 'The name of the parameter to assign a value to. This parameter name must match a named parameter in the pipeline definition.
', ], ], 'PipelineStatus' => [ 'base' => NULL, 'refs' => [ 'DescribePipelineResponse$PipelineStatus' => 'The status of the pipeline execution.
', 'Pipeline$PipelineStatus' => 'The status of the pipeline.
', ], ], 'PipelineSummary' => [ 'base' => 'A summary of a pipeline.
', 'refs' => [ 'PipelineSummaryList$member' => NULL, ], ], 'PipelineSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListPipelinesResponse$PipelineSummaries' => 'Contains a sorted list of PipelineSummary objects matching the specified filters. Each PipelineSummary consists of PipelineArn, PipelineName, ExperimentName, PipelineDescription, CreationTime, LastModifiedTime, LastRunTime, and RoleArn. This list can be empty.
The platform identifier of the notebook instance runtime environment.
', 'DescribeNotebookInstanceOutput$PlatformIdentifier' => 'The platform identifier of the notebook instance runtime environment.
', ], ], 'PolicyString' => [ 'base' => NULL, 'refs' => [ 'GetModelPackageGroupPolicyOutput$ResourcePolicy' => 'The resource policy for the model group.
', 'PutModelPackageGroupPolicyInput$ResourcePolicy' => 'The resource policy for the model group.
', ], ], 'PredefinedMetricSpecification' => [ 'base' => 'A specification for a predefined metric.
', 'refs' => [ 'MetricSpecification$Predefined' => 'Information about a predefined metric.
', ], ], 'PreemptTeamTasks' => [ 'base' => NULL, 'refs' => [ 'ComputeQuotaConfig$PreemptTeamTasks' => 'Allows workloads from within an entity to preempt same-team workloads. When set to LowerPriority, the entity\'s lower priority tasks are preempted by their own higher priority tasks.
Default is LowerPriority.
The presigned URL.
', ], ], 'PriorityClass' => [ 'base' => 'Priority class configuration. When included in PriorityClasses, these class configurations define how tasks are queued.
List of the priority classes, PriorityClass, of the cluster policy. When specified, these class configurations define how tasks are queued.
Weight of the priority class. The value is within a range from 0 to 100, where 0 is the default.
A weight of 0 is the lowest priority and 100 is the highest. Weight 0 is the default.
', ], ], 'ProbabilityThresholdAttribute' => [ 'base' => NULL, 'refs' => [ 'BatchTransformInput$ProbabilityThresholdAttribute' => 'The threshold for the class probability to be evaluated as a positive result.
', 'EndpointInput$ProbabilityThresholdAttribute' => 'The threshold for the class probability to be evaluated as a positive result.
', ], ], 'ProblemType' => [ 'base' => NULL, 'refs' => [ 'CreateAutoMLJobRequest$ProblemType' => 'Defines the type of supervised learning problem available for the candidates. For more information, see SageMaker Autopilot problem types.
', 'DescribeAutoMLJobResponse$ProblemType' => 'Returns the job\'s problem type.
', 'ResolvedAttributes$ProblemType' => 'The problem type.
', 'TabularJobConfig$ProblemType' => 'The type of supervised learning problem available for the model candidates of the AutoML job V2. For more information, see SageMaker Autopilot problem types.
You must either specify the type of supervised learning problem in ProblemType and provide the AutoMLJobObjective metric, or none at all.
The type of supervised learning problem available for the model candidates of the AutoML job V2 (Binary Classification, Multiclass Classification, Regression). For more information, see SageMaker Autopilot problem types.
', ], ], 'ProcessingClusterConfig' => [ 'base' => 'Configuration for the cluster used to run a processing job.
', 'refs' => [ 'ProcessingResources$ClusterConfig' => 'The configuration for the resources in a cluster used to run the processing job.
', ], ], 'ProcessingEnvironmentKey' => [ 'base' => NULL, 'refs' => [ 'MonitoringEnvironmentMap$key' => NULL, 'ProcessingEnvironmentMap$key' => NULL, ], ], 'ProcessingEnvironmentMap' => [ 'base' => NULL, 'refs' => [ 'CreateProcessingJobRequest$Environment' => 'The environment variables to set in the Docker container. Up to 100 key and values entries in the map are supported.
', 'DescribeProcessingJobResponse$Environment' => 'The environment variables set in the Docker container.
', 'ProcessingJob$Environment' => 'Sets the environment variables in the Docker container.
', ], ], 'ProcessingEnvironmentValue' => [ 'base' => NULL, 'refs' => [ 'MonitoringEnvironmentMap$value' => NULL, 'ProcessingEnvironmentMap$value' => NULL, ], ], 'ProcessingFeatureStoreOutput' => [ 'base' => 'Configuration for processing job outputs in Amazon SageMaker Feature Store.
', 'refs' => [ 'ProcessingOutput$FeatureStoreOutput' => 'Configuration for processing job outputs in Amazon SageMaker Feature Store. This processing output type is only supported when AppManaged is specified.
The inputs for a processing job. The processing input must specify exactly one of either S3Input or DatasetDefinition types.
An array of inputs configuring the data to download into the processing container.
', 'DescribeProcessingJobResponse$ProcessingInputs' => 'The inputs for a processing job.
', 'ProcessingJob$ProcessingInputs' => 'List of input configurations for the processing job.
', ], ], 'ProcessingInstanceCount' => [ 'base' => NULL, 'refs' => [ 'MonitoringClusterConfig$InstanceCount' => 'The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
', 'ProcessingClusterConfig$InstanceCount' => 'The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
', ], ], 'ProcessingInstanceType' => [ 'base' => NULL, 'refs' => [ 'DebugRuleConfiguration$InstanceType' => 'The instance type to deploy a custom rule for debugging a training job.
', 'MonitoringClusterConfig$InstanceType' => 'The ML compute instance type for the processing job.
', 'ProcessingClusterConfig$InstanceType' => 'The ML compute instance type for the processing job.
', 'ProfilerRuleConfiguration$InstanceType' => 'The instance type to deploy a custom rule for profiling a training job.
', ], ], 'ProcessingJob' => [ 'base' => 'An Amazon SageMaker processing job that is used to analyze data and evaluate models. For more information, see Process Data and Evaluate Models.
', 'refs' => [ 'TrialComponentSourceDetail$ProcessingJob' => 'Information about a processing job that\'s the source of a trial component.
', ], ], 'ProcessingJobArn' => [ 'base' => NULL, 'refs' => [ 'CreateProcessingJobResponse$ProcessingJobArn' => 'The Amazon Resource Name (ARN) of the processing job.
', 'DebugRuleEvaluationStatus$RuleEvaluationJobArn' => 'The Amazon Resource Name (ARN) of the rule evaluation job.
', 'DescribeProcessingJobResponse$ProcessingJobArn' => 'The Amazon Resource Name (ARN) of the processing job.
', 'MonitoringExecutionSummary$ProcessingJobArn' => 'The Amazon Resource Name (ARN) of the monitoring job.
', 'ProcessingJob$ProcessingJobArn' => 'The ARN of the processing job.
', 'ProcessingJobStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the processing job.
', 'ProcessingJobSummary$ProcessingJobArn' => 'The Amazon Resource Name (ARN) of the processing job..
', 'ProfilerRuleEvaluationStatus$RuleEvaluationJobArn' => 'The Amazon Resource Name (ARN) of the rule evaluation job.
', ], ], 'ProcessingJobName' => [ 'base' => NULL, 'refs' => [ 'CreateProcessingJobRequest$ProcessingJobName' => 'The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'DataQualityBaselineConfig$BaseliningJobName' => 'The name of the job that performs baselining for the data quality monitoring job.
', 'DescribeProcessingJobRequest$ProcessingJobName' => 'The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'DescribeProcessingJobResponse$ProcessingJobName' => 'The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'ModelBiasBaselineConfig$BaseliningJobName' => 'The name of the baseline model bias job.
', 'ModelExplainabilityBaselineConfig$BaseliningJobName' => 'The name of the baseline model explainability job.
', 'ModelQualityBaselineConfig$BaseliningJobName' => 'The name of the job that performs baselining for the monitoring job.
', 'MonitoringBaselineConfig$BaseliningJobName' => 'The name of the job that performs baselining for the monitoring job.
', 'ProcessingJob$ProcessingJobName' => 'The name of the processing job.
', 'ProcessingJobSummary$ProcessingJobName' => 'The name of the processing job.
', 'StopProcessingJobRequest$ProcessingJobName' => 'The name of the processing job to stop.
', ], ], 'ProcessingJobStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeProcessingJobResponse$ProcessingJobStatus' => 'Provides the status of a processing job.
', 'ListProcessingJobsRequest$StatusEquals' => 'A filter that retrieves only processing jobs with a specific status.
', 'ProcessingJob$ProcessingJobStatus' => 'The status of the processing job.
', 'ProcessingJobSummary$ProcessingJobStatus' => 'The status of the processing job.
', ], ], 'ProcessingJobStepMetadata' => [ 'base' => 'Metadata for a processing job step.
', 'refs' => [ 'PipelineExecutionStepMetadata$ProcessingJob' => 'The Amazon Resource Name (ARN) of the processing job that was run by this step execution.
', ], ], 'ProcessingJobSummaries' => [ 'base' => NULL, 'refs' => [ 'ListProcessingJobsResponse$ProcessingJobSummaries' => 'An array of ProcessingJobSummary objects, each listing a processing job.
Summary of information about a processing job.
', 'refs' => [ 'ProcessingJobSummaries$member' => NULL, ], ], 'ProcessingLocalPath' => [ 'base' => NULL, 'refs' => [ 'BatchTransformInput$LocalPath' => 'Path to the filesystem where the batch transform data is available to the container.
', 'DatasetDefinition$LocalPath' => 'The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when AppManaged is False (default).
Path to the filesystem where the endpoint data is available to the container.
', 'MonitoringS3Output$LocalPath' => 'The local path to the Amazon S3 storage location where Amazon SageMaker AI saves the results of a monitoring job. LocalPath is an absolute path for the output data.
', 'ProcessingS3Input$LocalPath' => 'The local path in your container where you want Amazon SageMaker to write input data to. LocalPath is an absolute path to the input data and must begin with /opt/ml/processing/. LocalPath is a required parameter when AppManaged is False (default).
The local path of a directory where you want Amazon SageMaker to upload its contents to Amazon S3. LocalPath is an absolute path to a directory containing output files. This directory will be created by the platform and exist when your container\'s entrypoint is invoked.
Specifies the maximum runtime in seconds.
', ], ], 'ProcessingOutput' => [ 'base' => 'Describes the results of a processing job. The processing output must specify exactly one of either S3Output or FeatureStoreOutput types.
Configuration for uploading output from the processing container.
', 'refs' => [ 'CreateProcessingJobRequest$ProcessingOutputConfig' => 'Output configuration for the processing job.
', 'DescribeProcessingJobResponse$ProcessingOutputConfig' => 'Output configuration for the processing job.
', 'ProcessingJob$ProcessingOutputConfig' => NULL, ], ], 'ProcessingOutputs' => [ 'base' => NULL, 'refs' => [ 'ProcessingOutputConfig$Outputs' => 'An array of outputs configuring the data to upload from the processing container.
', ], ], 'ProcessingResources' => [ 'base' => 'Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.
', 'refs' => [ 'CreateProcessingJobRequest$ProcessingResources' => 'Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.
', 'DescribeProcessingJobResponse$ProcessingResources' => 'Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.
', 'ProcessingJob$ProcessingResources' => NULL, ], ], 'ProcessingS3CompressionType' => [ 'base' => NULL, 'refs' => [ 'ProcessingS3Input$S3CompressionType' => 'Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container. Gzip can only be used when Pipe mode is specified as the S3InputMode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your container without using the EBS volume.
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to FullyReplicated
Whether input data distributed in Amazon S3 is fully replicated or sharded by an Amazon S3 key. Defaults to FullyReplicated
Whether to distribute the data from Amazon S3 to all processing instances with FullyReplicated, or whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing instance.
Whether you use an S3Prefix or a ManifestFile for the data type. If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for the processing job. If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for the processing job.
Configuration for downloading input data from Amazon S3 into the processing container.
', 'refs' => [ 'ProcessingInput$S3Input' => 'Configuration for downloading input data from Amazon S3 into the processing container.
', ], ], 'ProcessingS3InputMode' => [ 'base' => NULL, 'refs' => [ 'BatchTransformInput$S3InputMode' => 'Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
Whether to use File or Pipe input mode. In File mode, Amazon SageMaker copies the data from the input source onto the local ML storage volume before starting your processing container. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your processing container into named pipes without using the ML storage volume.
Configuration for uploading output data to Amazon S3 from the processing container.
', 'refs' => [ 'ProcessingOutput$S3Output' => 'Configuration for processing job outputs in Amazon S3.
', ], ], 'ProcessingS3UploadMode' => [ 'base' => NULL, 'refs' => [ 'MonitoringS3Output$S3UploadMode' => 'Whether to upload the results of the monitoring job continuously or after the job completes.
', 'ProcessingS3Output$S3UploadMode' => 'Whether to upload the results of the processing job continuously or after the job completes.
', ], ], 'ProcessingStoppingCondition' => [ 'base' => 'Configures conditions under which the processing job should be stopped, such as how long the processing job has been running. After the condition is met, the processing job is stopped.
', 'refs' => [ 'CreateProcessingJobRequest$StoppingCondition' => 'The time limit for how long the processing job is allowed to run.
', 'DescribeProcessingJobResponse$StoppingCondition' => 'The time limit for how long the processing job is allowed to run.
', 'ProcessingJob$StoppingCondition' => NULL, ], ], 'ProcessingVolumeSizeInGB' => [ 'base' => NULL, 'refs' => [ 'MonitoringClusterConfig$VolumeSizeInGB' => 'The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
', 'ProcessingClusterConfig$VolumeSizeInGB' => 'The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.
Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for processing, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can\'t request a VolumeSizeInGB greater than the total size of the local instance storage.
For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.
Indicates CPU or GPU compatibility.
CPU: The image version is compatible with CPU.
GPU: The image version is compatible with GPU.
Indicates CPU or GPU compatibility.
CPU: The image version is compatible with CPU.
GPU: The image version is compatible with GPU.
Indicates CPU or GPU compatibility.
CPU: The image version is compatible with CPU.
GPU: The image version is compatible with GPU.
The product identifier of the algorithm.
', 'ModelPackageContainerDefinition$ProductId' => 'The Amazon Web Services Marketplace product ID of the model package.
', ], ], 'ProductListings' => [ 'base' => NULL, 'refs' => [ 'Workteam$ProductListingIds' => 'The Amazon Marketplace identifier for a vendor\'s work team.
', ], ], 'ProductionVariant' => [ 'base' => 'Identifies a model that you want to host and the resources chosen to deploy for hosting it. If you are deploying multiple models, tell SageMaker how to distribute traffic among the models by specifying variant weights. For more information on production variants, check Production variants.
', 'refs' => [ 'ProductionVariantList$member' => NULL, ], ], 'ProductionVariantAcceleratorType' => [ 'base' => NULL, 'refs' => [ 'PendingProductionVariantSummary$AcceleratorType' => 'This parameter is no longer supported. Elastic Inference (EI) is no longer available.
This parameter was used to specify the size of the EI instance to use for the production variant.
', 'ProductionVariant$AcceleratorType' => 'This parameter is no longer supported. Elastic Inference (EI) is no longer available.
This parameter was used to specify the size of the EI instance to use for the production variant.
', ], ], 'ProductionVariantContainerStartupHealthCheckTimeoutInSeconds' => [ 'base' => NULL, 'refs' => [ 'InferenceComponentStartupParameters$ContainerStartupHealthCheckTimeoutInSeconds' => 'The timeout value, in seconds, for your inference container to pass health check by Amazon S3 Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.
', 'ProductionVariant$ContainerStartupHealthCheckTimeoutInSeconds' => 'The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.
', ], ], 'ProductionVariantCoreDumpConfig' => [ 'base' => 'Specifies configuration for a core dump from the model container when the process crashes.
', 'refs' => [ 'ProductionVariant$CoreDumpConfig' => 'Specifies configuration for a core dump from the model container when the process crashes.
', ], ], 'ProductionVariantInferenceAmiVersion' => [ 'base' => NULL, 'refs' => [ 'ProductionVariant$InferenceAmiVersion' => 'Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images. Each image is configured by Amazon Web Services with a set of software and driver versions. Amazon Web Services optimizes these configurations for different machine learning workloads.
By selecting an AMI version, you can ensure that your inference environment is compatible with specific software requirements, such as CUDA driver versions, Linux kernel versions, or Amazon Web Services Neuron driver versions.
The AMI version names, and their configurations, are the following:
Accelerator: GPU
NVIDIA driver version: 535.54.03
CUDA driver version: 12.2
Supported instance types: ml.g4dn.*, ml.g5.*, ml.g6.*, ml.p3.*, ml.p4d.*, ml.p4de.*, ml.p5.*
The instance types to use for the load test.
', 'EndpointOutputConfiguration$InstanceType' => 'The instance type recommended by Amazon SageMaker Inference Recommender.
', 'PendingProductionVariantSummary$InstanceType' => 'The type of instances associated with the variant.
', 'ProductionVariant$InstanceType' => 'The ML compute instance type.
', 'RealTimeInferenceRecommendation$InstanceType' => 'The recommended instance type for Real-Time Inference.
', 'RealtimeInferenceInstanceTypes$member' => NULL, ], ], 'ProductionVariantList' => [ 'base' => NULL, 'refs' => [ 'CreateEndpointConfigInput$ProductionVariants' => 'An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
An array of ProductionVariant objects, one for each model that you want to host at this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants. If you use this field, you can only specify one variant for ProductionVariants and one variant for ShadowProductionVariants.
An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
An array of ProductionVariant objects, one for each model that you want to host at this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants.
Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
', 'refs' => [ 'PendingProductionVariantSummary$ManagedInstanceScaling' => 'Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
', 'ProductionVariant$ManagedInstanceScaling' => 'Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
', 'ProductionVariantSummary$ManagedInstanceScaling' => 'Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
', ], ], 'ProductionVariantModelDataDownloadTimeoutInSeconds' => [ 'base' => NULL, 'refs' => [ 'InferenceComponentStartupParameters$ModelDataDownloadTimeoutInSeconds' => 'The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this inference component.
', 'ProductionVariant$ModelDataDownloadTimeoutInSeconds' => 'The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.
', ], ], 'ProductionVariantRoutingConfig' => [ 'base' => 'Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
', 'refs' => [ 'PendingProductionVariantSummary$RoutingConfig' => 'Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
', 'ProductionVariant$RoutingConfig' => 'Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
', 'ProductionVariantSummary$RoutingConfig' => 'Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
', ], ], 'ProductionVariantSSMAccess' => [ 'base' => NULL, 'refs' => [ 'ProductionVariant$EnableSSMAccess' => ' You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoint. You can turn on or turn off SSM access for a production variant behind an existing endpoint by creating a new endpoint configuration and calling UpdateEndpoint.
Specifies the serverless configuration for an endpoint variant.
', 'refs' => [ 'EndpointInputConfiguration$ServerlessConfig' => NULL, 'EndpointOutputConfiguration$ServerlessConfig' => NULL, 'PendingProductionVariantSummary$CurrentServerlessConfig' => 'The serverless configuration for the endpoint.
', 'PendingProductionVariantSummary$DesiredServerlessConfig' => 'The serverless configuration requested for this deployment, as specified in the endpoint configuration for the endpoint.
', 'ProductionVariant$ServerlessConfig' => 'The serverless configuration for an endpoint. Specifies a serverless endpoint configuration instead of an instance-based endpoint configuration.
', 'ProductionVariantSummary$CurrentServerlessConfig' => 'The serverless configuration for the endpoint.
', 'ProductionVariantSummary$DesiredServerlessConfig' => 'The serverless configuration requested for the endpoint update.
', ], ], 'ProductionVariantServerlessUpdateConfig' => [ 'base' => 'Specifies the serverless update concurrency configuration for an endpoint variant.
', 'refs' => [ 'DesiredWeightAndCapacity$ServerlessUpdateConfig' => 'Specifies the serverless update concurrency configuration for an endpoint variant.
', ], ], 'ProductionVariantStatus' => [ 'base' => 'Describes the status of the production variant.
', 'refs' => [ 'ProductionVariantStatusList$member' => NULL, ], ], 'ProductionVariantStatusList' => [ 'base' => NULL, 'refs' => [ 'PendingProductionVariantSummary$VariantStatus' => 'The endpoint variant status which describes the current deployment stage status or operational status.
', 'ProductionVariantSummary$VariantStatus' => 'The endpoint variant status which describes the current deployment stage status or operational status.
', ], ], 'ProductionVariantSummary' => [ 'base' => 'Describes weight and capacities for a production variant associated with an endpoint. If you sent a request to the UpdateEndpointWeightsAndCapacities API and the endpoint status is Updating, you get different desired and current values.
An array of ProductionVariantSummary objects, one for each model hosted behind this endpoint.
', 'DescribeEndpointOutput$ShadowProductionVariants' => 'An array of ProductionVariantSummary objects, one for each model that you want to host at this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants.
A list of the production variants hosted on the endpoint. Each production variant is a model.
', 'Endpoint$ShadowProductionVariants' => 'A list of the shadow variants hosted on the endpoint. Each shadow variant is a model in shadow mode with production traffic replicated from the production variant.
', ], ], 'ProductionVariantVolumeSizeInGB' => [ 'base' => NULL, 'refs' => [ 'ProductionVariant$VolumeSizeInGB' => 'The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Currently only Amazon EBS gp2 storage volumes are supported.
', ], ], 'ProfilerConfig' => [ 'base' => 'Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.
', 'refs' => [ 'CreateTrainingJobRequest$ProfilerConfig' => NULL, 'DescribeTrainingJobResponse$ProfilerConfig' => NULL, 'TrainingJob$ProfilerConfig' => NULL, ], ], 'ProfilerConfigForUpdate' => [ 'base' => 'Configuration information for updating the Amazon SageMaker Debugger profile parameters, system and framework metrics configurations, and storage paths.
', 'refs' => [ 'UpdateTrainingJobRequest$ProfilerConfig' => 'Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.
', ], ], 'ProfilerRuleConfiguration' => [ 'base' => 'Configuration information for profiling rules.
', 'refs' => [ 'ProfilerRuleConfigurations$member' => NULL, ], ], 'ProfilerRuleConfigurations' => [ 'base' => NULL, 'refs' => [ 'CreateTrainingJobRequest$ProfilerRuleConfigurations' => 'Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
', 'DescribeTrainingJobResponse$ProfilerRuleConfigurations' => 'Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
', 'UpdateTrainingJobRequest$ProfilerRuleConfigurations' => 'Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
', ], ], 'ProfilerRuleEvaluationStatus' => [ 'base' => 'Information about the status of the rule evaluation.
', 'refs' => [ 'ProfilerRuleEvaluationStatuses$member' => NULL, ], ], 'ProfilerRuleEvaluationStatuses' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingJobResponse$ProfilerRuleEvaluationStatuses' => 'Evaluation status of Amazon SageMaker Debugger rules for profiling on a training job.
', ], ], 'ProfilingIntervalInMilliseconds' => [ 'base' => NULL, 'refs' => [ 'ProfilerConfig$ProfilingIntervalInMilliseconds' => 'A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.
', 'ProfilerConfigForUpdate$ProfilingIntervalInMilliseconds' => 'A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.
', ], ], 'ProfilingParameters' => [ 'base' => NULL, 'refs' => [ 'ProfilerConfig$ProfilingParameters' => 'Configuration information for capturing framework metrics. Available key strings for different profiling options are DetailedProfilingConfig, PythonProfilingConfig, and DataLoaderProfilingConfig. The following codes are configuration structures for the ProfilingParameters parameter. To learn more about how to configure the ProfilingParameters parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.
Configuration information for capturing framework metrics. Available key strings for different profiling options are DetailedProfilingConfig, PythonProfilingConfig, and DataLoaderProfilingConfig. The following codes are configuration structures for the ProfilingParameters parameter. To learn more about how to configure the ProfilingParameters parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.
Profiling status of a training job.
', ], ], 'ProgrammingLang' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionRequest$ProgrammingLang' => 'The supported programming language and its version.
', 'DescribeImageVersionResponse$ProgrammingLang' => 'The supported programming language and its version.
', 'UpdateImageVersionRequest$ProgrammingLang' => 'The supported programming language and its version.
', ], ], 'Project' => [ 'base' => 'The properties of a project as returned by the Search API.
', 'refs' => [ 'SearchRecord$Project' => 'The properties of a project.
', ], ], 'ProjectArn' => [ 'base' => NULL, 'refs' => [ 'CreateProjectOutput$ProjectArn' => 'The Amazon Resource Name (ARN) of the project.
', 'DescribeProjectOutput$ProjectArn' => 'The Amazon Resource Name (ARN) of the project.
', 'Project$ProjectArn' => 'The Amazon Resource Name (ARN) of the project.
', 'ProjectSummary$ProjectArn' => 'The Amazon Resource Name (ARN) of the project.
', 'UpdateProjectOutput$ProjectArn' => 'The Amazon Resource Name (ARN) of the project.
', ], ], 'ProjectEntityName' => [ 'base' => NULL, 'refs' => [ 'CreateProjectInput$ProjectName' => 'The name of the project.
', 'DeleteProjectInput$ProjectName' => 'The name of the project to delete.
', 'DescribeProjectInput$ProjectName' => 'The name of the project to describe.
', 'DescribeProjectOutput$ProjectName' => 'The name of the project.
', 'ListProjectsInput$NameContains' => 'A filter that returns the projects whose name contains a specified string.
', 'Project$ProjectName' => 'The name of the project.
', 'ProjectSummary$ProjectName' => 'The name of the project.
', 'UpdateProjectInput$ProjectName' => 'The name of the project.
', ], ], 'ProjectId' => [ 'base' => NULL, 'refs' => [ 'CreateProjectOutput$ProjectId' => 'The ID of the new project.
', 'DescribeProjectOutput$ProjectId' => 'The ID of the project.
', 'Project$ProjectId' => 'The ID of the project.
', 'ProjectSummary$ProjectId' => 'The ID of the project.
', ], ], 'ProjectSortBy' => [ 'base' => NULL, 'refs' => [ 'ListProjectsInput$SortBy' => 'The field by which to sort results. The default is CreationTime.
The sort order for results. The default is Ascending.
The status of the project.
', 'Project$ProjectStatus' => 'The status of the project.
', 'ProjectSummary$ProjectStatus' => 'The status of the project.
', ], ], 'ProjectSummary' => [ 'base' => 'Information about a project.
', 'refs' => [ 'ProjectSummaryList$member' => NULL, ], ], 'ProjectSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListProjectsOutput$ProjectSummaryList' => 'A list of summaries of projects.
', ], ], 'PropertyNameHint' => [ 'base' => NULL, 'refs' => [ 'PropertyNameQuery$PropertyNameHint' => 'Text that begins a property\'s name.
', ], ], 'PropertyNameQuery' => [ 'base' => 'Part of the SuggestionQuery type. Specifies a hint for retrieving property names that begin with the specified text.
Defines a property name hint. Only property names that begin with the specified hint are included in the response.
', ], ], 'PropertyNameSuggestion' => [ 'base' => 'A property name returned from a GetSearchSuggestions call that specifies a value in the PropertyNameQuery field.
A list of property names for a Resource that match a SuggestionQuery.
The current status of the product.
AVAILABLE - Stable state, ready to perform any operation. The most recent operation succeeded and completed.
UNDER_CHANGE - Transitive state. Operations performed might not have valid results. Wait for an AVAILABLE status before performing operations.
TAINTED - Stable state, ready to perform any operation. The stack has completed the requested operation but is not exactly what was requested. For example, a request to update to a new version failed and the stack rolled back to the current version.
ERROR - An unexpected error occurred. The provisioned product exists but the stack is not running. For example, CloudFormation received a parameter value that was not valid and could not launch the stack.
PLAN_IN_PROGRESS - Transitive state. The plan operations were performed to provision a new product, but resources have not yet been created. After reviewing the list of resources to be created, execute the plan. Wait for an AVAILABLE status before performing operations.
A key value pair used when you provision a project as a service catalog product. For information, see What is Amazon Web Services Service Catalog.
', 'refs' => [ 'ProvisioningParameters$member' => NULL, ], ], 'ProvisioningParameterKey' => [ 'base' => NULL, 'refs' => [ 'ProvisioningParameter$Key' => 'The key that identifies a provisioning parameter.
', ], ], 'ProvisioningParameterValue' => [ 'base' => NULL, 'refs' => [ 'ProvisioningParameter$Value' => 'The value of the provisioning parameter.
', ], ], 'ProvisioningParameters' => [ 'base' => NULL, 'refs' => [ 'ServiceCatalogProvisioningDetails$ProvisioningParameters' => 'A list of key value pairs that you specify when you provision a product.
', 'ServiceCatalogProvisioningUpdateDetails$ProvisioningParameters' => 'A list of key value pairs that you specify when you provision a product.
', ], ], 'PublicWorkforceTaskPrice' => [ 'base' => 'Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed.
Use one of the following prices for bounding box tasks. Prices are in US dollars and should be based on the complexity of the task; the longer it takes in your initial testing, the more you should offer.
0.036
0.048
0.060
0.072
0.120
0.240
0.360
0.480
0.600
0.720
0.840
0.960
1.080
1.200
Use one of the following prices for image classification, text classification, and custom tasks. Prices are in US dollars.
0.012
0.024
0.036
0.048
0.060
0.072
0.120
0.240
0.360
0.480
0.600
0.720
0.840
0.960
1.080
1.200
Use one of the following prices for semantic segmentation tasks. Prices are in US dollars.
0.840
0.960
1.080
1.200
Use one of the following prices for Textract AnalyzeDocument Important Form Key Amazon Augmented AI review tasks. Prices are in US dollars.
2.400
2.280
2.160
2.040
1.920
1.800
1.680
1.560
1.440
1.320
1.200
1.080
0.960
0.840
0.720
0.600
0.480
0.360
0.240
0.120
0.072
0.060
0.048
0.036
0.024
0.012
Use one of the following prices for Rekognition DetectModerationLabels Amazon Augmented AI review tasks. Prices are in US dollars.
1.200
1.080
0.960
0.840
0.720
0.600
0.480
0.360
0.240
0.120
0.072
0.060
0.048
0.036
0.024
0.012
Use one of the following prices for Amazon Augmented AI custom human review tasks. Prices are in US dollars.
1.200
1.080
0.960
0.840
0.720
0.600
0.480
0.360
0.240
0.120
0.072
0.060
0.048
0.036
0.024
0.012
The price that you pay for each task performed by an Amazon Mechanical Turk worker.
', ], ], 'PutModelPackageGroupPolicyInput' => [ 'base' => NULL, 'refs' => [], ], 'PutModelPackageGroupPolicyOutput' => [ 'base' => NULL, 'refs' => [], ], 'QProfileArn' => [ 'base' => NULL, 'refs' => [ 'AmazonQSettings$QProfileArn' => 'The ARN of the Amazon Q profile used within the domain.
', ], ], 'QualityCheckStepMetadata' => [ 'base' => 'Container for the metadata for a Quality check step. For more information, see the topic on QualityCheck step in the Amazon SageMaker Developer Guide.
', 'refs' => [ 'PipelineExecutionStepMetadata$QualityCheck' => 'The configurations and outcomes of the check step execution. This includes:
The type of the check conducted.
The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.
The Amazon S3 URIs of newly calculated baseline constraints and statistics.
The model package group name provided.
The Amazon S3 URI of the violation report if violations detected.
The Amazon Resource Name (ARN) of check processing job initiated by the step execution.
The Boolean flags indicating if the drift check is skipped.
If step property BaselineUsedForDriftCheck is set the same as CalculatedBaseline.
A set of filters to narrow the set of lineage entities connected to the StartArn(s) returned by the QueryLineage API action.
A set of filtering parameters that allow you to specify which entities should be returned.
Properties - Key-value pairs to match on the lineage entities\' properties.
LineageTypes - A set of lineage entity types to match on. For example: TrialComponent, Artifact, or Context.
CreatedBefore - Filter entities created before this date.
ModifiedBefore - Filter entities modified before this date.
ModifiedAfter - Filter entities modified after this date.
The maximum depth in lineage relationships from the StartArns that are traversed. Depth is a measure of the number of Associations from the StartArn entity to the matched results.
Limits the number of vertices in the results. Use the NextToken in a response to to retrieve the next page of results.
A list of resource Amazon Resource Name (ARN) that represent the starting point for your lineage query.
', ], ], 'QueryLineageTypes' => [ 'base' => NULL, 'refs' => [ 'QueryFilters$LineageTypes' => 'Filter the lineage entities connected to the StartArn(s) by the type of the lineage entity.
Filter the lineage entities connected to the StartArn(s) by a set if property key value pairs. If multiple pairs are provided, an entity is included in the results if it matches any of the provided pairs.
Filter the lineage entities connected to the StartArn by type. For example: DataSet, Model, Endpoint, or ModelDeployment.
A collection of settings that apply to an RSessionGateway app.
A collection of settings that configure the RSessionGateway app.
Indicates whether the current user has access to the RStudioServerPro app.
A collection of settings that configure user interaction with the RStudioServerPro app.
A collection of settings that configure user interaction with the RStudioServerPro app.
A collection of settings that configure the RStudioServerPro Domain-level app.
A collection of settings that configure the RStudioServerPro Domain-level app.
A collection of settings that update the current configuration for the RStudioServerPro Domain-level app.
A collection of RStudioServerPro Domain-level app settings to update. A single RStudioServerPro application is created for a domain.
The level of permissions that the user has within the RStudioServerPro app. This value defaults to `User`. The `Admin` value allows the user access to the RStudio Administrative Dashboard.
A value used to initialize a pseudo-random number generator. Setting a random seed and using the same seed later for the same tuning job will allow hyperparameter optimization to find more a consistent hyperparameter configuration between the two runs.
', ], ], 'RealTimeInferenceConfig' => [ 'base' => 'The infrastructure configuration for deploying the model to a real-time inference endpoint.
', 'refs' => [ 'ModelInfrastructureConfig$RealTimeInferenceConfig' => 'The infrastructure configuration for deploying the model to real-time inference.
', ], ], 'RealTimeInferenceRecommendation' => [ 'base' => 'The recommended configuration to use for Real-Time Inference.
', 'refs' => [ 'RealTimeInferenceRecommendations$member' => NULL, ], ], 'RealTimeInferenceRecommendations' => [ 'base' => NULL, 'refs' => [ 'DeploymentRecommendation$RealTimeInferenceRecommendations' => 'A list of RealTimeInferenceRecommendation items.
', ], ], 'RealtimeInferenceInstanceTypes' => [ 'base' => NULL, 'refs' => [ 'AdditionalInferenceSpecificationDefinition$SupportedRealtimeInferenceInstanceTypes' => 'A list of the instance types that are used to generate inferences in real-time.
', 'InferenceSpecification$SupportedRealtimeInferenceInstanceTypes' => 'A list of the instance types that are used to generate inferences in real-time.
This parameter is required for unversioned models, and optional for versioned models.
', ], ], 'RecommendationFailureReason' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobInferenceBenchmark$FailureReason' => 'The reason why a benchmark failed.
', ], ], 'RecommendationJobArn' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceRecommendationsJobResponse$JobArn' => 'The Amazon Resource Name (ARN) of the recommendation job.
', 'DescribeInferenceRecommendationsJobResponse$JobArn' => 'The Amazon Resource Name (ARN) of the job.
', 'InferenceRecommendationsJob$JobArn' => 'The Amazon Resource Name (ARN) of the recommendation job.
', ], ], 'RecommendationJobCompilationJobName' => [ 'base' => NULL, 'refs' => [ 'ModelConfiguration$CompilationJobName' => 'The name of the compilation job used to create the recommended model artifacts.
', ], ], 'RecommendationJobCompiledOutputConfig' => [ 'base' => 'Provides information about the output configuration for the compiled model.
', 'refs' => [ 'RecommendationJobOutputConfig$CompiledOutputConfig' => 'Provides information about the output configuration for the compiled model.
', ], ], 'RecommendationJobContainerConfig' => [ 'base' => 'Specifies mandatory fields for running an Inference Recommender job directly in the CreateInferenceRecommendationsJob API. The fields specified in ContainerConfig override the corresponding fields in the model package. Use ContainerConfig if you want to specify these fields for the recommendation job but don\'t want to edit them in your model package.
Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.
Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. This field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.
', ], ], 'RecommendationJobDescription' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceRecommendationsJobRequest$JobDescription' => 'Description of the recommendation job.
', 'DescribeInferenceRecommendationsJobResponse$JobDescription' => 'The job description that you provided when you initiated the job.
', 'InferenceRecommendationsJob$JobDescription' => 'The job description.
', ], ], 'RecommendationJobFrameworkVersion' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobContainerConfig$FrameworkVersion' => 'The framework version of the container image.
', ], ], 'RecommendationJobInferenceBenchmark' => [ 'base' => 'The details for a specific benchmark from an Inference Recommender job.
', 'refs' => [ 'InferenceRecommendationsJobStep$InferenceBenchmark' => 'The details for a specific benchmark.
', ], ], 'RecommendationJobInputConfig' => [ 'base' => 'The input configuration of the recommendation job.
', 'refs' => [ 'CreateInferenceRecommendationsJobRequest$InputConfig' => 'Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations.
', 'DescribeInferenceRecommendationsJobResponse$InputConfig' => 'Returns information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations you provided when you initiated the job.
', ], ], 'RecommendationJobName' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceRecommendationsJobRequest$JobName' => 'A name for the recommendation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account. The job name is passed down to the resources created by the recommendation job. The names of resources (such as the model, endpoint configuration, endpoint, and compilation) that are prefixed with the job name are truncated at 40 characters.
', 'DescribeInferenceRecommendationsJobRequest$JobName' => 'The name of the job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'DescribeInferenceRecommendationsJobResponse$JobName' => 'The name of the job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'GetScalingConfigurationRecommendationRequest$InferenceRecommendationsJobName' => 'The name of a previously completed Inference Recommender job.
', 'GetScalingConfigurationRecommendationResponse$InferenceRecommendationsJobName' => 'The name of a previously completed Inference Recommender job.
', 'InferenceRecommendationsJob$JobName' => 'The name of the job.
', 'InferenceRecommendationsJobStep$JobName' => 'The name of the Inference Recommender job.
', 'ListInferenceRecommendationsJobStepsRequest$JobName' => 'The name for the Inference Recommender job.
', 'StopInferenceRecommendationsJobRequest$JobName' => 'The name of the job you want to stop.
', ], ], 'RecommendationJobOutputConfig' => [ 'base' => 'Provides information about the output configuration for the compiled model.
', 'refs' => [ 'CreateInferenceRecommendationsJobRequest$OutputConfig' => 'Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.
', ], ], 'RecommendationJobPayloadConfig' => [ 'base' => 'The configuration for the payload for a recommendation job.
', 'refs' => [ 'RecommendationJobContainerConfig$PayloadConfig' => 'Specifies the SamplePayloadUrl and all other sample payload-related fields.
Specifies the maximum number of jobs that can run in parallel and the maximum number of jobs that can run.
', 'refs' => [ 'RecommendationJobInputConfig$ResourceLimit' => 'Defines the resource limit of the job.
', ], ], 'RecommendationJobStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeInferenceRecommendationsJobResponse$Status' => 'The status of the job.
', 'InferenceRecommendationsJob$Status' => 'The status of the job.
', 'InferenceRecommendationsJobStep$Status' => 'The current status of the benchmark.
', 'ListInferenceRecommendationsJobStepsRequest$Status' => 'A filter to return benchmarks of a specified status. If this field is left empty, then all benchmarks are returned.
', 'ListInferenceRecommendationsJobsRequest$StatusEquals' => 'A filter that retrieves only inference recommendations jobs with a specific status.
', ], ], 'RecommendationJobStoppingConditions' => [ 'base' => 'Specifies conditions for stopping a job. When a job reaches a stopping condition limit, SageMaker ends the job.
', 'refs' => [ 'CreateInferenceRecommendationsJobRequest$StoppingConditions' => 'A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically stopped.
', 'DescribeInferenceRecommendationsJobResponse$StoppingConditions' => 'The stopping conditions that you provided when you initiated the job.
', ], ], 'RecommendationJobSupportedContentType' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobSupportedContentTypes$member' => NULL, ], ], 'RecommendationJobSupportedContentTypes' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobPayloadConfig$SupportedContentTypes' => 'The supported MIME types for the input data.
', ], ], 'RecommendationJobSupportedEndpointType' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobContainerConfig$SupportedEndpointType' => 'The endpoint type to receive recommendations for. By default this is null, and the results of the inference recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint type.
', ], ], 'RecommendationJobSupportedInstanceTypes' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobContainerConfig$SupportedInstanceTypes' => 'A list of the instance types that are used to generate inferences in real-time.
', ], ], 'RecommendationJobSupportedResponseMIMEType' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobSupportedResponseMIMETypes$member' => NULL, ], ], 'RecommendationJobSupportedResponseMIMETypes' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobContainerConfig$SupportedResponseMIMETypes' => 'The supported MIME types for the output data.
', ], ], 'RecommendationJobType' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceRecommendationsJobRequest$JobType' => 'Defines the type of recommendation job. Specify Default to initiate an instance recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will run an instance recommendation (DEFAULT) job.
The job type that you provided when you initiated the job.
', 'InferenceRecommendationsJob$JobType' => 'The recommendation job type.
', ], ], 'RecommendationJobVpcConfig' => [ 'base' => 'Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
', 'refs' => [ 'RecommendationJobInputConfig$VpcConfig' => 'Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
', ], ], 'RecommendationJobVpcSecurityGroupId' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobVpcSecurityGroupIds$member' => NULL, ], ], 'RecommendationJobVpcSecurityGroupIds' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobVpcConfig$SecurityGroupIds' => 'The VPC security group IDs. IDs have the form of sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
The ID of the subnets in the VPC to which you want to connect your model.
', ], ], 'RecommendationMetrics' => [ 'base' => 'The metrics of recommendations.
', 'refs' => [ 'InferenceRecommendation$Metrics' => 'The metrics used to decide what recommendation to make.
', 'RecommendationJobInferenceBenchmark$Metrics' => NULL, ], ], 'RecommendationStatus' => [ 'base' => NULL, 'refs' => [ 'DeploymentRecommendation$RecommendationStatus' => 'Status of the deployment recommendation. The status NOT_APPLICABLE means that SageMaker is unable to provide a default recommendation for the model using the information provided. If the deployment status is IN_PROGRESS, retry your API call after a few seconds to get a COMPLETED deployment recommendation.
The type of the subtask.
BENCHMARK: Evaluate the performance of your model on different instance types.
A filter to return details about the specified type of subtask.
BENCHMARK: Evaluate the performance of your model on different instance types.
Specify RecordIO as the value when input data is in raw format but the training algorithm requires the RecordIO format. In this case, SageMaker wraps each individual S3 object in a RecordIO record. If the input data is already in RecordIO format, you don\'t need to set this attribute. For more information, see Create a Dataset Using RecordIO.
In File mode, leave this field unset or set it to None.
', ], ], 'RedshiftClusterId' => [ 'base' => 'The Redshift cluster Identifier.
', 'refs' => [ 'RedshiftDatasetDefinition$ClusterId' => NULL, ], ], 'RedshiftDatabase' => [ 'base' => 'The name of the Redshift database used in Redshift query execution.
', 'refs' => [ 'RedshiftDatasetDefinition$Database' => NULL, ], ], 'RedshiftDatasetDefinition' => [ 'base' => 'Configuration for Redshift Dataset Definition input.
', 'refs' => [ 'DatasetDefinition$RedshiftDatasetDefinition' => NULL, ], ], 'RedshiftQueryString' => [ 'base' => 'The SQL query statements to be executed.
', 'refs' => [ 'RedshiftDatasetDefinition$QueryString' => NULL, ], ], 'RedshiftResultCompressionType' => [ 'base' => 'The compression used for Redshift query results.
', 'refs' => [ 'RedshiftDatasetDefinition$OutputCompression' => NULL, ], ], 'RedshiftResultFormat' => [ 'base' => 'The data storage format for Redshift query results.
', 'refs' => [ 'RedshiftDatasetDefinition$OutputFormat' => NULL, ], ], 'RedshiftUserName' => [ 'base' => 'The database user name used in Redshift query execution.
', 'refs' => [ 'RedshiftDatasetDefinition$DbUser' => NULL, ], ], 'ReferenceMinVersion' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$ReferenceMinVersion' => 'The minimum version of the hub content.
', ], ], 'RegisterDevicesRequest' => [ 'base' => NULL, 'refs' => [], ], 'RegisterModelStepMetadata' => [ 'base' => 'Metadata for a register model job step.
', 'refs' => [ 'PipelineExecutionStepMetadata$RegisterModel' => 'The Amazon Resource Name (ARN) of the model package that the model was registered to by this step execution.
', ], ], 'ReleaseNotes' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionRequest$ReleaseNotes' => 'The maintainer description of the image version.
', 'DescribeImageVersionResponse$ReleaseNotes' => 'The maintainer description of the image version.
', 'UpdateImageVersionRequest$ReleaseNotes' => 'The maintainer description of the image version.
', ], ], 'RemoteDebugConfig' => [ 'base' => 'Configuration for remote debugging for the CreateTrainingJob API. To learn more about the remote debugging functionality of SageMaker, see Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging.
', 'refs' => [ 'CreateTrainingJobRequest$RemoteDebugConfig' => 'Configuration for remote debugging. To learn more about the remote debugging functionality of SageMaker, see Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging.
', 'DescribeTrainingJobResponse$RemoteDebugConfig' => 'Configuration for remote debugging. To learn more about the remote debugging functionality of SageMaker, see Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging.
', ], ], 'RemoteDebugConfigForUpdate' => [ 'base' => 'Configuration for remote debugging for the UpdateTrainingJob API. To learn more about the remote debugging functionality of SageMaker, see Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging.
', 'refs' => [ 'UpdateTrainingJobRequest$RemoteDebugConfig' => 'Configuration for remote debugging while the training job is running. You can update the remote debugging configuration when the SecondaryStatus of the job is Downloading or Training.To learn more about the remote debugging functionality of SageMaker, see Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging.
Contains input values for a task.
', 'refs' => [ 'RenderUiTemplateRequest$Task' => 'A RenderableTask object containing a representative task to render.
A description of an error that occurred while rendering the template.
', 'refs' => [ 'RenderingErrorList$member' => NULL, ], ], 'RenderingErrorList' => [ 'base' => NULL, 'refs' => [ 'RenderUiTemplateResponse$Errors' => 'A list of one or more RenderingError objects if any were encountered while rendering the template. If there were no errors, the list is empty.
Set this to one of the following values:
Platform - The model image is hosted in Amazon ECR.
Vpc - The model image is hosted in a private Docker registry in your VPC.
Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field of the ImageConfig object that you passed to a call to CreateModel and the private Docker registry where the model image is hosted requires authentication.
(Optional) Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field, and the private Docker registry where the model image is hosted requires authentication.
The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function that provides credentials to authenticate to the private Docker registry where your model image is hosted. For information about how to create an Amazon Web Services Lambda function, see Create a Lambda function with the console in the Amazon Web Services Lambda Developer Guide.
', ], ], 'RepositoryUrl' => [ 'base' => NULL, 'refs' => [ 'CodeRepository$RepositoryUrl' => 'The URL of the Git repository.
', ], ], 'ReservedCapacityArn' => [ 'base' => NULL, 'refs' => [ 'ReservedCapacitySummary$ReservedCapacityArn' => 'The Amazon Resource Name (ARN); of the reserved capacity.
', ], ], 'ReservedCapacityDurationHours' => [ 'base' => NULL, 'refs' => [ 'ReservedCapacityOffering$DurationHours' => 'The number of whole hours in the total duration for this reserved capacity offering.
', 'ReservedCapacitySummary$DurationHours' => 'The number of whole hours in the total duration for this reserved capacity.
', ], ], 'ReservedCapacityDurationMinutes' => [ 'base' => NULL, 'refs' => [ 'ReservedCapacityOffering$DurationMinutes' => 'The additional minutes beyond whole hours in the total duration for this reserved capacity offering.
', 'ReservedCapacitySummary$DurationMinutes' => 'The additional minutes beyond whole hours in the total duration for this reserved capacity.
', ], ], 'ReservedCapacityInstanceCount' => [ 'base' => NULL, 'refs' => [ 'ReservedCapacityOffering$InstanceCount' => 'The number of instances in the reserved capacity offering.
', 'SearchTrainingPlanOfferingsRequest$InstanceCount' => 'The number of instances you want to reserve in the training plan offerings. This allows you to specify the quantity of compute resources needed for your SageMaker training jobs or SageMaker HyperPod clusters, helping you find reserved capacity offerings that match your requirements.
', ], ], 'ReservedCapacityInstanceType' => [ 'base' => NULL, 'refs' => [ 'ReservedCapacityOffering$InstanceType' => 'The instance type for the reserved capacity offering.
', 'ReservedCapacitySummary$InstanceType' => 'The instance type for the reserved capacity.
', 'SearchTrainingPlanOfferingsRequest$InstanceType' => 'The type of instance you want to search for in the available training plan offerings. This field allows you to filter the search results based on the specific compute resources you require for your SageMaker training jobs or SageMaker HyperPod clusters. When searching for training plan offerings, specifying the instance type helps you find Reserved Instances that match your computational needs.
', ], ], 'ReservedCapacityOffering' => [ 'base' => 'Details about a reserved capacity offering for a training plan offering.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
A list of reserved capacity offerings associated with this training plan offering.
', ], ], 'ReservedCapacityStatus' => [ 'base' => NULL, 'refs' => [ 'ReservedCapacitySummary$Status' => 'The current status of the reserved capacity.
', ], ], 'ReservedCapacitySummaries' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingPlanResponse$ReservedCapacitySummaries' => 'The list of Reserved Capacity providing the underlying compute resources of the plan.
', 'TrainingPlanSummary$ReservedCapacitySummaries' => 'A list of reserved capacities associated with this training plan, including details such as instance types, counts, and availability zones.
', ], ], 'ReservedCapacitySummary' => [ 'base' => 'Details of a reserved capacity for the training plan.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The resolved attributes.
', 'refs' => [ 'DescribeAutoMLJobResponse$ResolvedAttributes' => 'Contains ProblemType, AutoMLJobObjective, and CompletionCriteria. If you do not provide these values, they are inferred.
The Amazon Resource Name (ARN) of the resource that you want to tag.
', 'DeleteTagsInput$ResourceArn' => 'The Amazon Resource Name (ARN) of the resource whose tags you want to delete.
', 'ListTagsInput$ResourceArn' => 'The Amazon Resource Name (ARN) of the resource whose tags you want to retrieve.
', ], ], 'ResourceCatalog' => [ 'base' => ' A resource catalog containing all of the resources of a specific resource type within a resource owner account. For an example on sharing the Amazon SageMaker Feature Store DefaultFeatureGroupCatalog, see Share Amazon SageMaker Catalog resource type in the Amazon SageMaker Developer Guide.
The Amazon Resource Name (ARN) of the ResourceCatalog.
A free form description of the ResourceCatalog.
A list of the requested ResourceCatalogs.
A string that partially matches one or more ResourceCatalogs names. Filters ResourceCatalog by name.
The name of the ResourceCatalog.
The value on which the resource catalog list is sorted.
', ], ], 'ResourceCatalogSortOrder' => [ 'base' => NULL, 'refs' => [ 'ListResourceCatalogsRequest$SortOrder' => 'The order in which the resource catalogs are listed.
', ], ], 'ResourceConfig' => [ 'base' => 'Describes the resources, including machine learning (ML) compute instances and ML storage volumes, to use for model training.
', 'refs' => [ 'CreateTrainingJobRequest$ResourceConfig' => 'The resources, including the ML compute instances and ML storage volumes, to use for model training.
ML storage volumes store model artifacts and incremental states. Training algorithms might also use ML storage volumes for scratch space. If you want SageMaker to use the ML storage volume to store the training data, choose File as the TrainingInputMode in the algorithm specification. For distributed training algorithms, specify an instance count greater than 1.
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
', 'HyperParameterTrainingJobDefinition$ResourceConfig' => 'The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning job launches.
Storage volumes store model artifacts and incremental states. Training algorithms might also use storage volumes for scratch space. If you want SageMaker to use the storage volume to store the training data, choose File as the TrainingInputMode in the algorithm specification. For distributed training algorithms, specify an instance count greater than 1.
If you want to use hyperparameter optimization with instance type flexibility, use HyperParameterTuningResourceConfig instead.
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
', 'TrainingJobDefinition$ResourceConfig' => 'The resources, including the ML compute instances and ML storage volumes, to use for model training.
', ], ], 'ResourceConfigForUpdate' => [ 'base' => 'The ResourceConfig to update KeepAlivePeriodInSeconds. Other fields in the ResourceConfig cannot be updated.
The training job ResourceConfig to update warm pool retention length.
The ID of the Amazon Elastic File System managed by this Domain.
', ], ], 'ResourceInUse' => [ 'base' => 'Resource being accessed is in use.
', 'refs' => [], ], 'ResourceLimitExceeded' => [ 'base' => 'You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.
', 'refs' => [], ], 'ResourceLimits' => [ 'base' => 'Specifies the maximum number of training jobs and parallel training jobs that a hyperparameter tuning job can launch.
', 'refs' => [ 'HyperParameterTuningJobConfig$ResourceLimits' => 'The ResourceLimits object that specifies the maximum number of training and parallel training jobs that can be used for this hyperparameter tuning job.
', 'HyperParameterTuningJobSummary$ResourceLimits' => 'The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
', ], ], 'ResourceNotFound' => [ 'base' => 'Resource being access is not found.
', 'refs' => [], ], 'ResourcePolicyString' => [ 'base' => NULL, 'refs' => [ 'GetLineageGroupPolicyResponse$ResourcePolicy' => 'The resource policy that gives access to the lineage group in another account.
', ], ], 'ResourcePropertyName' => [ 'base' => NULL, 'refs' => [ 'Filter$Name' => 'A resource property name. For example, TrainingJobName. For valid property names, see SearchRecord. You must specify a valid property for the resource.
The name of the property to use in the nested filters. The value must match a listed property name, such as InputDataConfig.
A suggested property name based on what you entered in the search textbox in the SageMaker console.
', 'SearchRequest$SortBy' => 'The name of the resource property used to sort the SearchResults. The default is LastModifiedTime.
The billable time in seconds used by the warm pool. Billable time refers to the absolute wall-clock time.
Multiply ResourceRetainedBillableTimeInSeconds by the number of instances (InstanceCount) in your training cluster to get the total compute time SageMaker bills you if you run warm pool training. The formula is as follows: ResourceRetainedBillableTimeInSeconds * InstanceCount.
Resource sharing configuration.
', 'refs' => [ 'ComputeQuotaConfig$ResourceSharingConfig' => 'Resource sharing configuration. This defines how an entity can lend and borrow idle compute with other entities within the cluster.
', ], ], 'ResourceSharingStrategy' => [ 'base' => NULL, 'refs' => [ 'ResourceSharingConfig$Strategy' => 'The strategy of how idle compute is shared within the cluster. The following are the options of strategies.
DontLend: entities do not lend idle compute.
Lend: entities can lend idle compute to entities that can borrow.
LendandBorrow: entities can lend idle compute and borrow idle compute from other entities.
Default is LendandBorrow.
Specifies the ARN\'s of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.
', 'refs' => [ 'AppDetails$ResourceSpec' => NULL, 'CodeEditorAppSettings$DefaultResourceSpec' => NULL, 'CreateAppRequest$ResourceSpec' => 'The instance type and the Amazon Resource Name (ARN) of the SageMaker AI image created on the instance.
The value of InstanceType passed as part of the ResourceSpec in the CreateApp call overrides the value passed as part of the ResourceSpec configured for the user profile or the domain. If InstanceType is not specified in any of those three ResourceSpec values for a KernelGateway app, the CreateApp call fails with a request validation error.
The instance type and the Amazon Resource Name (ARN) of the SageMaker AI image created on the instance.
', 'JupyterLabAppSettings$DefaultResourceSpec' => NULL, 'JupyterServerAppSettings$DefaultResourceSpec' => 'The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the JupyterServer app. If you use the LifecycleConfigArns parameter, then this parameter is also required.
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the KernelGateway app.
The Amazon SageMaker AI Studio UI does not use the default instance type value set here. The default instance type set here is used when Apps are created using the CLI or CloudFormation and the instance type parameter value is not passed.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker AI image created on the instance.
', ], ], 'ResourceType' => [ 'base' => NULL, 'refs' => [ 'GetSearchSuggestionsRequest$Resource' => 'The name of the SageMaker resource to search for.
', 'SearchRequest$Resource' => 'The name of the SageMaker resource to search for.
', ], ], 'ResponseMIMEType' => [ 'base' => NULL, 'refs' => [ 'ResponseMIMETypes$member' => NULL, ], ], 'ResponseMIMETypes' => [ 'base' => NULL, 'refs' => [ 'AdditionalInferenceSpecificationDefinition$SupportedResponseMIMETypes' => 'The supported MIME types for the output data.
', 'InferenceSpecification$SupportedResponseMIMETypes' => 'The supported MIME types for the output data.
', ], ], 'RetentionPolicy' => [ 'base' => 'The retention policy for data stored on an Amazon Elastic File System volume.
', 'refs' => [ 'DeleteDomainRequest$RetentionPolicy' => 'The retention policy for this domain, which specifies whether resources will be retained after the Domain is deleted. By default, all resources are retained (not automatically deleted).
', ], ], 'RetentionType' => [ 'base' => NULL, 'refs' => [ 'RetentionPolicy$HomeEfsFileSystem' => 'The default is Retain, which specifies to keep the data stored on the Amazon EFS volume.
Specify Delete to delete the data stored on the Amazon EFS volume.
The retry strategy to use when a training job fails due to an InternalServerError. RetryStrategy is specified as part of the CreateTrainingJob and CreateHyperParameterTuningJob requests. You can add the StoppingCondition parameter to the request to limit the training time for the complete job.
The number of times to retry the job when the job fails due to an InternalServerError.
The number of times to retry the job when the job fails due to an InternalServerError.
The number of times to retry the job when the job fails due to an InternalServerError.
The number of times to retry the job when the job fails due to an InternalServerError.
The IAM roles that SageMaker uses to run the training jobs.
', 'AssumableRoleArns$member' => NULL, 'ClusterInstanceGroupDetails$ExecutionRole' => 'The execution role for the instance group to assume.
', 'ClusterInstanceGroupSpecification$ExecutionRole' => 'Specifies an IAM execution role to be assumed by the instance group.
', 'CreateAutoMLJobRequest$RoleArn' => 'The ARN of the role that is used to access the data.
', 'CreateAutoMLJobV2Request$RoleArn' => 'The ARN of the role that is used to access the data.
', 'CreateCompilationJobRequest$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
During model compilation, Amazon SageMaker AI needs your permission to:
Read input data from an S3 bucket
Write model artifacts to an S3 bucket
Write logs to Amazon CloudWatch Logs
Publish metrics to Amazon CloudWatch
You grant permissions for all of these tasks to an IAM role. To pass this role to Amazon SageMaker AI, the caller of this API must have the iam:PassRole permission. For more information, see Amazon SageMaker AI Roles.
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
', 'CreateDeviceFleetRequest$RoleArn' => 'The Amazon Resource Name (ARN) that has access to Amazon Web Services Internet of Things (IoT).
', 'CreateEdgePackagingJobRequest$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to download and upload the model, and to contact SageMaker Neo.
', 'CreateEndpointConfigInput$ExecutionRoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform actions on your behalf. For more information, see SageMaker AI Roles.
To be able to pass this role to Amazon SageMaker AI, the caller of this action must have the iam:PassRole permission.
The Amazon Resource Name (ARN) of the IAM execution role used to persist data into the OfflineStore if an OfflineStoreConfig is provided.
The Amazon Resource Name (ARN) of the role needed to call other services on your behalf. For example, arn:aws:iam::1234567890:role/service-role/AmazonSageMaker-ExecutionRole-20180111T151298.
The ARN of an IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
', 'CreateInferenceExperimentRequest$RoleArn' => 'The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
', 'CreateInferenceRecommendationsJobRequest$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
', 'CreateLabelingJobRequest$RoleArn' => 'The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete data labeling.
', 'CreateMlflowTrackingServerRequest$RoleArn' => 'The Amazon Resource Name (ARN) for an IAM role in your account that the MLflow Tracking Server uses to access the artifact store in Amazon S3. The role should have AmazonS3FullAccess permissions. For more information on IAM permissions for tracking server creation, see Set up IAM permissions for MLflow.
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
', 'CreateModelExplainabilityJobDefinitionRequest$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
', 'CreateModelInput$ExecutionRoleArn' => 'The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see SageMaker Roles.
To be able to pass this role to SageMaker, the caller of this API must have the iam:PassRole permission.
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
', 'CreateNotebookInstanceInput$RoleArn' => 'When you send any requests to Amazon Web Services resources from the notebook instance, SageMaker AI assumes this role to perform tasks on your behalf. You must grant this role necessary permissions so SageMaker AI can perform these tasks. The policy must allow the SageMaker AI service principal (sagemaker.amazonaws.com) permissions to assume this role. For more information, see SageMaker AI Roles.
To be able to pass this role to SageMaker AI, the caller of this API must have the iam:PassRole permission.
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
During model optimization, Amazon SageMaker AI needs your permission to:
Read input data from an S3 bucket
Write model artifacts to an S3 bucket
Write logs to Amazon CloudWatch Logs
Publish metrics to Amazon CloudWatch
You grant permissions for all of these tasks to an IAM role. To pass this role to Amazon SageMaker AI, the caller of this API must have the iam:PassRole permission. For more information, see Amazon SageMaker AI Roles.
The ARN of the IAM role that the partner application uses.
', 'CreatePipelineRequest$RoleArn' => 'The Amazon Resource Name (ARN) of the role used by the pipeline to access and create resources.
', 'CreateProcessingJobRequest$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
', 'CreateTrainingJobRequest$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that SageMaker can assume to perform tasks on your behalf.
During model training, SageMaker needs your permission to read input data from an S3 bucket, download a Docker image that contains training code, write model artifacts to an S3 bucket, write logs to Amazon CloudWatch Logs, and publish metrics to Amazon CloudWatch. You grant permissions for all of these tasks to an IAM role. For more information, see SageMaker Roles.
To be able to pass this role to SageMaker, the caller of this API must have the iam:PassRole permission.
The ARN of the execution role for the space.
', 'DescribeAutoMLJobResponse$RoleArn' => 'The ARN of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
', 'DescribeAutoMLJobV2Response$RoleArn' => 'The ARN of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
', 'DescribeCompilationJobResponse$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI assumes to perform the model compilation job.
', 'DescribeDataQualityJobDefinitionResponse$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
', 'DescribeDeviceFleetResponse$RoleArn' => 'The Amazon Resource Name (ARN) that has access to Amazon Web Services Internet of Things (IoT).
', 'DescribeEdgePackagingJobResponse$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to download and upload the model, and to contact Neo.
', 'DescribeEndpointConfigOutput$ExecutionRoleArn' => 'The Amazon Resource Name (ARN) of the IAM role that you assigned to the endpoint configuration.
', 'DescribeFeatureGroupResponse$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM execution role used to persist data into the OfflineStore if an OfflineStoreConfig is provided.
', 'DescribeFlowDefinitionResponse$RoleArn' => 'The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) execution role for the flow definition.
', 'DescribeImageResponse$RoleArn' => 'The ARN of the IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
', 'DescribeInferenceExperimentResponse$RoleArn' => 'The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
', 'DescribeInferenceRecommendationsJobResponse$RoleArn' => 'The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role you provided when you initiated the job.
', 'DescribeLabelingJobResponse$RoleArn' => 'The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf during data labeling.
', 'DescribeMlflowTrackingServerResponse$RoleArn' => 'The Amazon Resource Name (ARN) for an IAM role in your account that the described MLflow Tracking Server uses to access the artifact store in Amazon S3.
', 'DescribeModelBiasJobDefinitionResponse$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
', 'DescribeModelExplainabilityJobDefinitionResponse$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
', 'DescribeModelOutput$ExecutionRoleArn' => 'The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
', 'DescribeModelQualityJobDefinitionResponse$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
', 'DescribeNotebookInstanceOutput$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role associated with the instance.
', 'DescribeOptimizationJobResponse$RoleArn' => 'The ARN of the IAM role that you assigned to the optimization job.
', 'DescribePartnerAppResponse$ExecutionRoleArn' => 'The ARN of the IAM role associated with the SageMaker Partner AI App.
', 'DescribePipelineResponse$RoleArn' => 'The Amazon Resource Name (ARN) that the pipeline uses to execute.
', 'DescribeProcessingJobResponse$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
', 'DescribeTrainingJobResponse$RoleArn' => 'The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.
', 'EmrServerlessComputeConfig$ExecutionRoleARN' => 'The ARN of the IAM role granting the AutoML job V2 the necessary permissions access policies to list, connect to, or manage EMR Serverless jobs. For detailed information about the required permissions of this role, see "How to configure AutoML to initiate a remote job on EMR Serverless for large datasets" in Create a regression or classification job for tabular data using the AutoML API or Create an AutoML job for time-series forecasting using the API.
', 'EmrServerlessSettings$ExecutionRoleArn' => 'The Amazon Resource Name (ARN) of the Amazon Web Services IAM role that is assumed for running Amazon EMR Serverless jobs in SageMaker Canvas. This role should have the necessary permissions to read and write data attached and a trust relationship with EMR Serverless.
', 'ExecutionRoleArns$member' => NULL, 'FeatureGroup$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM execution role used to create the feature group.
', 'GenerativeAiSettings$AmazonBedrockRoleArn' => 'The ARN of an Amazon Web Services IAM role that allows fine-tuning of large language models (LLMs) in Amazon Bedrock. The IAM role should have Amazon S3 read and write permissions, as well as a trust relationship that establishes bedrock.amazonaws.com as a service principal.
The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.
', 'InferenceExperimentSummary$RoleArn' => 'The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
', 'InferenceRecommendationsJob$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
', 'Model$ExecutionRoleArn' => 'The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
', 'ModelPackageValidationSpecification$ValidationRole' => 'The IAM roles to be used for the validation of the model package.
', 'ModelRegisterSettings$CrossAccountModelRegisterRoleArn' => 'The Amazon Resource Name (ARN) of the SageMaker model registry account. Required only to register model versions created by a different SageMaker Canvas Amazon Web Services account than the Amazon Web Services account in which SageMaker model registry is set up.
', 'MonitoringJobDefinition$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
', 'Pipeline$RoleArn' => 'The Amazon Resource Name (ARN) of the role that created the pipeline.
', 'PipelineSummary$RoleArn' => 'The Amazon Resource Name (ARN) that the pipeline used to execute.
', 'ProcessingJob$RoleArn' => 'The ARN of the role used to create the processing job.
', 'RStudioServerProDomainSettings$DomainExecutionRoleArn' => 'The ARN of the execution role for the RStudioServerPro Domain-level app.
The execution role for the RStudioServerPro Domain-level app.
The IAM role attached to your Redshift cluster that Amazon SageMaker uses to generate datasets.
', 'RenderUiTemplateRequest$RoleArn' => 'The Amazon Resource Name (ARN) that has access to the S3 objects that are used by the template.
', 'TimeSeriesForecastingSettings$AmazonForecastRoleArn' => 'The IAM role that Canvas passes to Amazon Forecast for time series forecasting. By default, Canvas uses the execution role specified in the UserProfile that launches the Canvas application. If an execution role is not specified in the UserProfile, Canvas uses the execution role specified in the Domain that owns the UserProfile. To allow time series forecasting, this IAM role should have the AmazonSageMakerCanvasForecastAccess policy attached and forecast.amazonaws.com added in the trust relationship as a service principal.
The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.
', 'UpdateDeviceFleetRequest$RoleArn' => 'The Amazon Resource Name (ARN) of the device.
', 'UpdateImageRequest$RoleArn' => 'The new ARN for the IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
', 'UpdateNotebookInstanceInput$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role that SageMaker AI can assume to access the notebook instance. For more information, see SageMaker AI Roles.
To be able to pass this role to SageMaker AI, the caller of this API must have the iam:PassRole permission.
The Amazon Resource Name (ARN) that the pipeline uses to execute.
', 'UserSettings$ExecutionRole' => 'The execution role for the user.
SageMaker applies this setting only to private spaces that the user creates in the domain. SageMaker doesn\'t apply this setting to shared spaces.
', ], ], 'RollingUpdatePolicy' => [ 'base' => 'Specifies a rolling deployment strategy for updating a SageMaker endpoint.
', 'refs' => [ 'DeploymentConfig$RollingUpdatePolicy' => 'Specifies a rolling deployment strategy for updating a SageMaker endpoint.
', ], ], 'RootAccess' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceInput$RootAccess' => 'Whether root access is enabled or disabled for users of the notebook instance. The default value is Enabled.
Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users.
Whether root access is enabled or disabled for users of the notebook instance.
Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users.
Whether root access is enabled or disabled for users of the notebook instance. The default value is Enabled.
If you set this to Disabled, users don\'t have root access on the notebook instance, but lifecycle configuration scripts still run with root permissions.
Sets how the endpoint routes incoming traffic:
LEAST_OUTSTANDING_REQUESTS: The endpoint routes requests to the specific instances that have more capacity to process them.
RANDOM: The endpoint routes each request to a randomly chosen instance.
The name of the rule configuration. It must be unique relative to other rule configuration names.
', 'DebugRuleEvaluationStatus$RuleConfigurationName' => 'The name of the rule configuration.
', 'ProfilerRuleConfiguration$RuleConfigurationName' => 'The name of the rule configuration. It must be unique relative to other rule configuration names.
', 'ProfilerRuleEvaluationStatus$RuleConfigurationName' => 'The name of the rule configuration.
', ], ], 'RuleEvaluationStatus' => [ 'base' => NULL, 'refs' => [ 'DebugRuleEvaluationStatus$RuleEvaluationStatus' => 'Status of the rule evaluation.
', 'ProfilerRuleEvaluationStatus$RuleEvaluationStatus' => 'Status of the rule evaluation.
', ], ], 'RuleParameters' => [ 'base' => NULL, 'refs' => [ 'DebugRuleConfiguration$RuleParameters' => 'Runtime configuration for rule container.
', 'ProfilerRuleConfiguration$RuleParameters' => 'Runtime configuration for rule container.
', ], ], 'S3DataDistribution' => [ 'base' => NULL, 'refs' => [ 'S3DataSource$S3DataDistributionType' => 'If you want SageMaker to replicate the entire dataset on each ML compute instance that is launched for model training, specify FullyReplicated.
If you want SageMaker to replicate a subset of data on each ML compute instance that is launched for model training, specify ShardedByS3Key. If there are n ML compute instances launched for a training job, each instance gets approximately 1/n of the number of S3 objects. In this case, model training on each machine uses only the subset of training data.
Don\'t choose more ML compute instances for training than available S3 objects. If you do, some nodes won\'t get any data and you will pay for nodes that aren\'t getting any training data. This applies in both File and Pipe modes. Keep this in mind when developing algorithms.
In distributed training, where you use multiple ML compute EC2 instances, you might choose ShardedByS3Key. If the algorithm requires copying training data to the ML storage volume (when TrainingInputMode is set to File), this copies 1/n of the number of objects.
Describes the S3 data source.
Your input bucket must be in the same Amazon Web Services region as your training job.
', 'refs' => [ 'DataSource$S3DataSource' => 'The S3 location of the data source that is associated with a channel.
', ], ], 'S3DataType' => [ 'base' => NULL, 'refs' => [ 'S3DataSource$S3DataType' => 'If you choose S3Prefix, S3Uri identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training.
If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training.
If you choose AugmentedManifestFile, S3Uri identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. AugmentedManifestFile can only be used if the Channel\'s input mode is Pipe.
If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for batch transform.
If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for batch transform.
The following values are compatible: ManifestFile, S3Prefix
The following value is not compatible: AugmentedManifestFile
Specifies the S3 location of ML model data to deploy.
', 'refs' => [ 'AdditionalModelDataSource$S3DataSource' => NULL, 'ModelDataSource$S3DataSource' => 'Specifies the S3 location of ML model data to deploy.
', ], ], 'S3ModelDataType' => [ 'base' => NULL, 'refs' => [ 'S3ModelDataSource$S3DataType' => 'Specifies the type of ML model data to deploy.
If you choose S3Prefix, S3Uri identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix as part of the ML model data to deploy. A valid key name prefix identified by S3Uri always ends with a forward slash (/).
If you choose S3Object, S3Uri identifies an object that is the ML model data to deploy.
Specifies the S3 path of ML model data to deploy.
', 'S3ModelDataSource$ManifestS3Uri' => 'The Amazon S3 URI of the manifest file. The manifest file is a CSV file that stores the artifact locations.
', ], ], 'S3OutputPath' => [ 'base' => NULL, 'refs' => [ 'HubS3StorageConfig$S3OutputPath' => 'The Amazon S3 bucket prefix for hosting hub content.
', ], ], 'S3Presign' => [ 'base' => 'This object defines the access restrictions to Amazon S3 resources that are included in custom worker task templates using the Liquid filter, grant_read_access.
To learn more about how custom templates are created, see Create custom worker task templates.
', 'refs' => [ 'WorkerAccessConfiguration$S3Presign' => 'Defines any Amazon S3 resource constraints.
', ], ], 'S3StorageConfig' => [ 'base' => 'The Amazon Simple Storage (Amazon S3) location and security configuration for OfflineStore.
The Amazon Simple Storage (Amazon S3) location of OfflineStore.
The uniform resource identifier (URI) used to identify an additional data source used in inference or training.
', 'AthenaDatasetDefinition$OutputS3Uri' => 'The location in Amazon S3 where Athena query results are stored.
', 'AutoMLCandidateGenerationConfig$FeatureSpecificationS3Uri' => 'A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot job. You can input FeatureAttributeNames (optional) in JSON format as shown below:
{ "FeatureAttributeNames":["col1", "col2", ...] }.
You can also specify the data type of the feature (optional) in the format shown below:
{ "FeatureDataTypes":{"col1":"numeric", "col2":"categorical" ... } }
These column keys may not include the target column.
In ensembling mode, Autopilot only supports the following data types: numeric, categorical, text, and datetime. In HPO mode, Autopilot can support numeric, categorical, text, datetime, and sequence.
If only FeatureDataTypes is provided, the column keys (col1, col2,..) should be a subset of the column names in the input data.
If both FeatureDataTypes and FeatureAttributeNames are provided, then the column keys should be a subset of the column names provided in FeatureAttributeNames.
The key name FeatureAttributeNames is fixed. The values listed in ["col1", "col2", ...] are case sensitive and should be a list of strings containing unique values that are a subset of the column names in the input data. The list of columns provided must not include the target column.
The Amazon S3 output path. Must be 512 characters or less.
', 'AutoMLS3DataSource$S3Uri' => 'The URL to the Amazon S3 data source. The Uri refers to the Amazon S3 prefix or ManifestFile depending on the data type.
', 'BatchDataCaptureConfig$DestinationS3Uri' => 'The Amazon S3 location being used to capture the data.
', 'CheckpointConfig$S3Uri' => 'Identifies the S3 path where you want SageMaker to store checkpoints. For example, s3://bucket-name/key-name-prefix.
An Amazon S3 bucket path where your lifecycle scripts are stored.
Make sure that the S3 bucket path starts with s3://sagemaker-. The IAM role for SageMaker HyperPod has the managed AmazonSageMakerClusterInstanceRolePolicy attached, which allows access to S3 buckets with the specific prefix sagemaker-.
The S3 URI of the file, referred to as a label category configuration file, that defines the categories used to label the data objects.
For 3D point cloud and video frame task types, you can add label category attributes and frame attributes to your label category configuration file. To learn how, see Create a Labeling Category Configuration File for 3D Point Cloud Labeling Jobs.
For named entity recognition jobs, in addition to "labels", you must provide worker instructions in the label category configuration file using the "instructions" parameter: "instructions": {"shortInstruction":"<h1>Add header</h1><p>Add Instructions</p>", "fullInstruction":"<p>Add additional instructions.</p>"}. For details and an example, see Create a Named Entity Recognition Labeling Job (API) .
For all other built-in task types and custom tasks, your label category configuration file must be a JSON file in the following format. Identify the labels you want to use by replacing label_1, label_2,...,label_n with your label categories.
{
"document-version": "2018-11-28",
"labels": [{"label": "label_1"},{"label": "label_2"},...{"label": "label_n"}]
}
Note the following about the label category configuration file:
For image classification and text classification (single and multi-label) you must specify at least two label categories. For all other task types, the minimum number of label categories required is one.
Each label category must be unique, you cannot specify duplicate label categories.
If you create a 3D point cloud or video frame adjustment or verification labeling job, you must include auditLabelAttributeName in the label category configuration. Use this parameter to enter the LabelAttributeName of the labeling job you want to adjust or verify annotations of.
The S3 URI for a general purpose bucket to use as the MLflow Tracking Server artifact store.
', 'CreateModelPackageInput$SamplePayloadUrl' => 'The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix). This archive can hold multiple files that are all equally used in the load test. Each file in the archive must satisfy the size constraints of the InvokeEndpoint call.
', 'DataQualityAppSpecification$RecordPreprocessorSourceUri' => 'An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flattened JSON so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
', 'DataQualityAppSpecification$PostAnalyticsProcessorSourceUri' => 'An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
', 'DebugHookConfig$S3OutputPath' => 'Path to Amazon S3 storage location for metrics and tensors.
', 'DebugRuleConfiguration$S3OutputPath' => 'Path to Amazon S3 storage location for rules.
', 'DescribeEdgePackagingJobResponse$ModelArtifact' => 'The Amazon Simple Storage (S3) URI where model artifacts ares stored.
', 'DescribeLabelingJobResponse$LabelCategoryConfigS3Uri' => 'The S3 location of the JSON file that defines the categories used to label data objects. Please note the following label-category limits:
Semantic segmentation labeling jobs using automated labeling: 20 labels
Box bounding labeling jobs (all): 10 labels
The file is a JSON structure in the following format:
{
"document-version": "2018-11-28"
"labels": [
{
"label": "label 1"
},
{
"label": "label 2"
},
...
{
"label": "label n"
}
]
}
The S3 URI of the general purpose bucket used as the MLflow Tracking Server artifact store.
', 'EdgeOutputConfig$S3OutputLocation' => 'The Amazon Simple Storage (S3) bucker URI.
', 'FileSource$S3Uri' => 'The Amazon S3 URI for the file source.
', 'FlowDefinitionOutputConfig$S3OutputPath' => 'The Amazon S3 path where the object containing human output will be made available.
To learn more about the format of Amazon A2I output data, see Amazon A2I Output Data.
', 'InferenceRecommendationsJob$SamplePayloadUrl' => 'The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
', 'InputConfig$S3Uri' => 'The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
', 'LabelingJobOutput$OutputDatasetS3Uri' => 'The Amazon S3 bucket location of the manifest file for labeled data.
', 'LabelingJobOutputConfig$S3OutputPath' => 'The Amazon S3 location to write output data.
', 'LabelingJobS3DataSource$ManifestS3Uri' => 'The Amazon S3 location of the manifest file that describes the input data objects.
The input manifest file referenced in ManifestS3Uri must contain one of the following keys: source-ref or source. The value of the keys are interpreted as follows:
source-ref: The source of the object is the Amazon S3 object specified in the value. Use this value when the object is a binary object, such as an image.
source: The source of the object is the value. Use this value when the object is a text value.
If you are a new user of Ground Truth, it is recommended you review Use an Input Manifest File in the Amazon SageMaker Developer Guide to learn how to create an input manifest file.
', 'MetricsSource$S3Uri' => 'The S3 URI for the metrics source.
', 'ModelArtifacts$S3ModelArtifacts' => 'The path of the S3 object that contains the model artifacts. For example, s3://bucket-name/keynameprefix/model.tar.gz.
JSON formatted S3 file that defines bias parameters. For more information on this JSON configuration file, see Configure bias parameters.
', 'ModelCardExportArtifacts$S3ExportArtifacts' => 'The Amazon S3 URI of the exported model artifacts.
', 'ModelCardExportOutputConfig$S3OutputPath' => 'The Amazon S3 output path to export your model card PDF.
', 'ModelExplainabilityAppSpecification$ConfigUri' => 'JSON formatted Amazon S3 file that defines explainability parameters. For more information on this JSON configuration file, see Configure model explainability parameters.
', 'ModelQualityAppSpecification$RecordPreprocessorSourceUri' => 'An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flattened JSON so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
', 'ModelQualityAppSpecification$PostAnalyticsProcessorSourceUri' => 'An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
', 'MonitoringAppSpecification$RecordPreprocessorSourceUri' => 'An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flattened JSON so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
', 'MonitoringAppSpecification$PostAnalyticsProcessorSourceUri' => 'An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
', 'MonitoringConstraintsResource$S3Uri' => 'The Amazon S3 URI for the constraints resource.
', 'MonitoringStatisticsResource$S3Uri' => 'The Amazon S3 URI for the statistics resource.
', 'OptimizationJobModelSourceS3$S3Uri' => 'An Amazon S3 URI that locates a source model to optimize with an optimization job.
', 'OptimizationJobOutputConfig$S3OutputLocation' => 'The Amazon S3 URI for where to store the optimized model that you create with an optimization job.
', 'OutputConfig$S3OutputLocation' => 'Identifies the S3 bucket where you want Amazon SageMaker AI to store the model artifacts. For example, s3://bucket-name/key-name-prefix.
Identifies the S3 path where you want SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.
The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.
', 'ProcessingS3Output$S3Uri' => 'A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing job.
', 'ProfilerConfig$S3OutputPath' => 'Path to Amazon S3 storage location for system and framework metrics.
', 'ProfilerConfigForUpdate$S3OutputPath' => 'Path to Amazon S3 storage location for system and framework metrics.
', 'ProfilerRuleConfiguration$S3OutputPath' => 'Path to Amazon S3 storage location for rules.
', 'RecommendationJobCompiledOutputConfig$S3OutputUri' => 'Identifies the Amazon S3 bucket where you want SageMaker to store the compiled model artifacts.
', 'RecommendationJobPayloadConfig$SamplePayloadUrl' => 'The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
', 'RedshiftDatasetDefinition$OutputS3Uri' => 'The location in Amazon S3 where the Redshift query results are stored.
', 'S3DataSource$S3Uri' => 'Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:
A key name prefix might look like this: s3://bucketname/exampleprefix/
A manifest might look like this: s3://bucketname/example.manifest
A manifest is an S3 object which is a JSON file consisting of an array of elements. The first element is a prefix which is followed by one or more suffixes. SageMaker appends the suffix elements to the prefix to get a full set of S3Uri. Note that the prefix must be a valid non-empty S3Uri that precludes users from specifying a manifest whose individual S3Uri is sourced from different S3 buckets.
The following code example shows a valid manifest format:
[ {"prefix": "s3://customer_bucket/some/prefix/"},
"relative/path/to/custdata-1",
"relative/path/custdata-2",
...
"relative/path/custdata-N"
]
This JSON is equivalent to the following S3Uri list:
s3://customer_bucket/some/prefix/relative/path/to/custdata-1
s3://customer_bucket/some/prefix/relative/path/custdata-2
...
s3://customer_bucket/some/prefix/relative/path/custdata-N
The complete set of S3Uri in this manifest is the input data for the channel for this data source. The object that each S3Uri points to must be readable by the IAM role that SageMaker uses to perform tasks on your behalf.
Your input bucket must be located in same Amazon Web Services region as your training job.
', 'S3StorageConfig$S3Uri' => 'The S3 URI, or location in Amazon S3, of OfflineStore.
S3 URIs have a format similar to the following: s3://example-bucket/prefix/.
The S3 path where offline records are written.
', 'SharingSettings$S3OutputPath' => 'When NotebookOutputOption is Allowed, the Amazon S3 bucket used to store the shared notebook snapshots.
A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot job V2. You can input FeatureAttributeNames (optional) in JSON format as shown below:
{ "FeatureAttributeNames":["col1", "col2", ...] }.
You can also specify the data type of the feature (optional) in the format shown below:
{ "FeatureDataTypes":{"col1":"numeric", "col2":"categorical" ... } }
These column keys may not include the target column.
In ensembling mode, Autopilot only supports the following data types: numeric, categorical, text, and datetime. In HPO mode, Autopilot can support numeric, categorical, text, datetime, and sequence.
If only FeatureDataTypes is provided, the column keys (col1, col2,..) should be a subset of the column names in the input data.
If both FeatureDataTypes and FeatureAttributeNames are provided, then the column keys should be a subset of the column names provided in FeatureAttributeNames.
The key name FeatureAttributeNames is fixed. The values listed in ["col1", "col2", ...] are case sensitive and should be a list of strings containing unique values that are a subset of the column names in the input data. The list of columns provided must not include the target column.
Path to Amazon S3 storage location for TensorBoard output.
', 'TimeSeriesForecastingJobConfig$FeatureSpecificationS3Uri' => 'A URL to the Amazon S3 data source containing additional selected features that complement the target, itemID, timestamp, and grouped columns set in TimeSeriesConfig. When not provided, the AutoML job V2 includes all the columns from the original dataset that are not already declared in TimeSeriesConfig. If provided, the AutoML job V2 only considers these additional columns as a complement to the ones declared in TimeSeriesConfig.
You can input FeatureAttributeNames (optional) in JSON format as shown below:
{ "FeatureAttributeNames":["col1", "col2", ...] }.
You can also specify the data type of the feature (optional) in the format shown below:
{ "FeatureDataTypes":{"col1":"numeric", "col2":"categorical" ... } }
Autopilot supports the following data types: numeric, categorical, text, and datetime.
These column keys must not include any column set in TimeSeriesConfig.
The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job. For example, s3://bucket-name/key-name-prefix.
For every S3 object used as input for the transform job, batch transform stores the transformed data with an .out suffix in a corresponding subfolder in the location in the output prefix. For example, for the input data stored at s3://bucket-name/input-name-prefix/dataset01/data.csv, batch transform stores the transformed data at s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out. Batch transform doesn\'t upload partially processed objects. For an input S3 object that contains multiple records, it creates an .out file only if the transform job succeeds on the entire file. When the input contains multiple S3 objects, the batch transform job processes the listed S3 objects and uploads only the output for successfully processed objects. If any object fails in the transform job batch transform marks the job as failed to prompt investigation.
Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:
A key name prefix might look like this: s3://bucketname/exampleprefix/.
A manifest might look like this: s3://bucketname/example.manifest
The manifest is an S3 object which is a JSON file with the following format:
[ {"prefix": "s3://customer_bucket/some/prefix/"},
"relative/path/to/custdata-1",
"relative/path/custdata-2",
...
"relative/path/custdata-N"
]
The preceding JSON matches the following S3Uris:
s3://customer_bucket/some/prefix/relative/path/to/custdata-1
s3://customer_bucket/some/prefix/relative/path/custdata-2
...
s3://customer_bucket/some/prefix/relative/path/custdata-N
The complete set of S3Uris in this manifest constitutes the input data for the channel for this datasource. The object that each S3Uris points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.
The Amazon S3 bucket location of the UI template, or worker task template. This is the template used to render the worker UI and tools for labeling job tasks. For more information about the contents of a UI template, see Creating Your Custom Labeling Task Template.
', 'UpdateMlflowTrackingServerRequest$ArtifactStoreUri' => 'The new S3 URI for the general purpose bucket to use as the artifact store for the MLflow Tracking Server.
', 'WorkspaceSettings$S3ArtifactPath' => 'The Amazon S3 bucket used to store artifacts generated by Canvas. Updating the Amazon S3 location impacts existing configuration settings, and Canvas users no longer have access to their artifacts. Canvas users must log out and log back in to apply the new location.
', ], ], 'SageMakerImageName' => [ 'base' => NULL, 'refs' => [ 'HiddenSageMakerImage$SageMakerImageName' => 'The SageMaker image name that you are hiding from the Studio user interface.
', ], ], 'SageMakerImageVersionAlias' => [ 'base' => NULL, 'refs' => [ 'DeleteImageVersionRequest$Alias' => 'The alias of the image to delete.
', 'DescribeImageVersionRequest$Alias' => 'The alias of the image version.
', 'ListAliasesRequest$Alias' => 'The alias of the image version.
', 'SageMakerImageVersionAliases$member' => NULL, 'UpdateImageVersionRequest$Alias' => 'The alias of the image version.
', ], ], 'SageMakerImageVersionAliases' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionRequest$Aliases' => 'A list of aliases created with the image version.
', 'ListAliasesResponse$SageMakerImageVersionAliases' => 'A list of SageMaker AI image version aliases.
', 'UpdateImageVersionRequest$AliasesToAdd' => 'A list of aliases to add.
', 'UpdateImageVersionRequest$AliasesToDelete' => 'A list of aliases to delete.
', ], ], 'SageMakerPublicHubContentArn' => [ 'base' => NULL, 'refs' => [ 'CreateHubContentReferenceRequest$SageMakerPublicHubContentArn' => 'The ARN of the public hub content to reference.
', 'DescribeHubContentResponse$SageMakerPublicHubContentArn' => 'The ARN of the public hub content.
', 'HubContentInfo$SageMakerPublicHubContentArn' => 'The ARN of the public hub content.
', ], ], 'SageMakerResourceName' => [ 'base' => NULL, 'refs' => [ 'SageMakerResourceNames$member' => NULL, ], ], 'SageMakerResourceNames' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingPlanResponse$TargetResources' => 'The target resources (e.g., SageMaker Training Jobs, SageMaker HyperPod) that can use this training plan.
Training plans are specific to their target resource.
A training plan designed for SageMaker training jobs can only be used to schedule and run training jobs.
A training plan for HyperPod clusters can be used exclusively to provide compute resources to a cluster\'s instance group.
The target resources (e.g., SageMaker Training Jobs, SageMaker HyperPod) to search for in the offerings.
Training plans are specific to their target resource.
A training plan designed for SageMaker training jobs can only be used to schedule and run training jobs.
A training plan for HyperPod clusters can be used exclusively to provide compute resources to a cluster\'s instance group.
The target resources (e.g., SageMaker Training Jobs, SageMaker HyperPod) for this training plan offering.
Training plans are specific to their target resource.
A training plan designed for SageMaker training jobs can only be used to schedule and run training jobs.
A training plan for HyperPod clusters can be used exclusively to provide compute resources to a cluster\'s instance group.
The target resources (e.g., training jobs, HyperPod clusters) that can use this training plan.
Training plans are specific to their target resource.
A training plan designed for SageMaker training jobs can only be used to schedule and run training jobs.
A training plan for HyperPod clusters can be used exclusively to provide compute resources to a cluster\'s instance group.
Whether Service Catalog is enabled or disabled in SageMaker.
', ], ], 'SampleWeightAttributeName' => [ 'base' => NULL, 'refs' => [ 'AutoMLChannel$SampleWeightAttributeName' => 'If specified, this column name indicates which column of the dataset should be treated as sample weights for use by the objective metric during the training, evaluation, and the selection of the best model. This column is not considered as a predictive feature. For more information on Autopilot metrics, see Metrics and validation.
Sample weights should be numeric, non-negative, with larger values indicating which rows are more important than others. Data points that have invalid or no weight value are excluded.
Support for sample weights is available in Ensembling mode only.
', 'TabularJobConfig$SampleWeightAttributeName' => 'If specified, this column name indicates which column of the dataset should be treated as sample weights for use by the objective metric during the training, evaluation, and the selection of the best model. This column is not considered as a predictive feature. For more information on Autopilot metrics, see Metrics and validation.
Sample weights should be numeric, non-negative, with larger values indicating which rows are more important than others. Data points that have invalid or no weight value are excluded.
Support for sample weights is available in Ensembling mode only.
', ], ], 'SamplingPercentage' => [ 'base' => NULL, 'refs' => [ 'DataCaptureConfig$InitialSamplingPercentage' => 'The percentage of requests SageMaker AI will capture. A lower value is recommended for Endpoints with high traffic.
', 'DataCaptureConfigSummary$CurrentSamplingPercentage' => 'The percentage of requests being captured by your Endpoint.
', ], ], 'ScalingPolicies' => [ 'base' => NULL, 'refs' => [ 'DynamicScalingConfiguration$ScalingPolicies' => 'An object of the scaling policies for each metric.
', ], ], 'ScalingPolicy' => [ 'base' => 'An object containing a recommended scaling policy.
', 'refs' => [ 'ScalingPolicies$member' => NULL, ], ], 'ScalingPolicyMetric' => [ 'base' => 'The metric for a scaling policy.
', 'refs' => [ 'GetScalingConfigurationRecommendationResponse$Metric' => 'An object with a list of metrics that were benchmarked during the previously completed Inference Recommender job.
', ], ], 'ScalingPolicyObjective' => [ 'base' => 'An object where you specify the anticipated traffic pattern for an endpoint.
', 'refs' => [ 'GetScalingConfigurationRecommendationRequest$ScalingPolicyObjective' => 'An object where you specify the anticipated traffic pattern for an endpoint.
', 'GetScalingConfigurationRecommendationResponse$ScalingPolicyObjective' => 'An object representing the anticipated traffic pattern for an endpoint that you specified in the request.
', ], ], 'ScheduleConfig' => [ 'base' => 'Configuration details about the monitoring schedule.
', 'refs' => [ 'MonitoringScheduleConfig$ScheduleConfig' => 'Configures the monitoring schedule.
', ], ], 'ScheduleExpression' => [ 'base' => NULL, 'refs' => [ 'ScheduleConfig$ScheduleExpression' => 'A cron expression that describes details about the monitoring schedule.
The supported cron expressions are:
If you want to set the job to start every hour, use the following:
Hourly: cron(0 * ? * * *)
If you want to start the job daily:
cron(0 [00-23] ? * * *)
If you want to run the job one time, immediately, use the following keyword:
NOW
For example, the following are valid cron expressions:
Daily at noon UTC: cron(0 12 ? * * *)
Daily at midnight UTC: cron(0 0 ? * * *)
To support running every 6, 12 hours, the following are also supported:
cron(0 [00-23]/[01-24] ? * * *)
For example, the following are valid cron expressions:
Every 12 hours, starting at 5pm UTC: cron(0 17/12 ? * * *)
Every two hours starting at midnight: cron(0 0/2 ? * * *)
Even though the cron expression is set to start at 5PM UTC, note that there could be a delay of 0-20 minutes from the actual requested time to run the execution.
We recommend that if you would like a daily schedule, you do not provide this parameter. Amazon SageMaker AI will pick a time for running every day.
You can also specify the keyword NOW to run the monitoring job immediately, one time, without recurring.
The status of an monitoring job.
', 'ListMonitoringSchedulesRequest$StatusEquals' => 'A filter that returns only monitoring schedules modified before a specified time.
', 'ModelDashboardMonitoringSchedule$MonitoringScheduleStatus' => 'The status of the monitoring schedule.
', 'MonitoringSchedule$MonitoringScheduleStatus' => 'The status of the monitoring schedule. This can be one of the following values.
PENDING - The schedule is pending being created.
FAILED - The schedule failed.
SCHEDULED - The schedule was successfully created.
STOPPED - The schedule was stopped.
The status of the monitoring schedule.
', ], ], 'SchedulerConfig' => [ 'base' => 'Cluster policy configuration. This policy is used for task prioritization and fair-share allocation. This helps prioritize critical workloads and distributes idle compute across entities.
', 'refs' => [ 'CreateClusterSchedulerConfigRequest$SchedulerConfig' => 'Configuration about the monitoring schedule.
', 'DescribeClusterSchedulerConfigResponse$SchedulerConfig' => 'Cluster policy configuration. This policy is used for task prioritization and fair-share allocation. This helps prioritize critical workloads and distributes idle compute across entities.
', 'UpdateClusterSchedulerConfigRequest$SchedulerConfig' => 'Cluster policy configuration.
', ], ], 'SchedulerResourceStatus' => [ 'base' => NULL, 'refs' => [ 'ClusterSchedulerConfigSummary$Status' => 'Status of the cluster policy.
', 'ComputeQuotaSummary$Status' => 'Status of the compute allocation definition.
', 'DescribeClusterSchedulerConfigResponse$Status' => 'Status of the cluster policy.
', 'DescribeComputeQuotaResponse$Status' => 'Status of the compute allocation definition.
', 'ListClusterSchedulerConfigsRequest$Status' => 'Filter for status.
', 'ListComputeQuotasRequest$Status' => 'Filter for status.
', ], ], 'Scope' => [ 'base' => NULL, 'refs' => [ 'OidcConfig$Scope' => 'An array of string identifiers used to refer to the specific pieces of user data or claims that the client application wants to access.
', 'OidcConfigForResponse$Scope' => 'An array of string identifiers used to refer to the specific pieces of user data or claims that the client application wants to access.
', ], ], 'SearchExpression' => [ 'base' => 'A multi-expression that searches for the specified resource or resources in a search. All resource objects that satisfy the expression\'s condition are included in the search results. You must specify at least one subexpression, filter, or nested filter. A SearchExpression can contain up to twenty elements.
A SearchExpression contains the following components:
A list of Filter objects. Each filter defines a simple Boolean expression comprised of a resource property name, Boolean operator, and value.
A list of NestedFilter objects. Each nested filter defines a list of Boolean expressions using a list of resource properties. A nested filter is satisfied if a single object in the list satisfies all Boolean expressions.
A list of SearchExpression objects. A search expression object can be nested in a list of search expression objects.
A Boolean operator: And or Or.
A Boolean conditional statement. Resources must satisfy this condition to be included in search results. You must provide at least one subexpression, filter, or nested filter. The maximum number of recursive SubExpressions, NestedFilters, and Filters that can be included in a SearchExpression object is 50.
A list of search expression objects.
', ], ], 'SearchRecord' => [ 'base' => 'A single resource returned as part of the Search API response.
', 'refs' => [ 'SearchResultsList$member' => NULL, ], ], 'SearchRequest' => [ 'base' => NULL, 'refs' => [], ], 'SearchResponse' => [ 'base' => NULL, 'refs' => [], ], 'SearchResultsList' => [ 'base' => NULL, 'refs' => [ 'SearchResponse$Results' => 'A list of SearchRecord objects.
How SearchResults are ordered. Valid values are Ascending or Descending. The default is Descending.
Provides detailed information about the state of the training job. For detailed information on the secondary status of the training job, see StatusMessage under SecondaryStatusTransition.
SageMaker provides primary statuses and secondary statuses that apply to each of them:
Starting - Starting the training job.
Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
Training - Training is in progress.
Interrupted - The job stopped because the managed spot training instances were interrupted.
Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
Completed - The training job has completed.
Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.
MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
MaxWaitTimeExceeded - The job stopped because it exceeded the maximum allowed wait time.
Stopped - The training job has stopped.
Stopping - Stopping the training job.
Valid values for SecondaryStatus are subject to change.
We no longer support the following secondary statuses:
LaunchingMLInstances
PreparingTraining
DownloadingTrainingImage
Contains a secondary status information from a training job.
Status might be one of the following secondary statuses:
Starting - Starting the training job.
Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
Training - Training is in progress.
Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
Completed - The training job has completed.
Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.
MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
Stopped - The training job has stopped.
Stopping - Stopping the training job.
We no longer support the following secondary statuses:
LaunchingMLInstances
PreparingTrainingStack
DownloadingTrainingImage
Provides detailed information about the state of the training job. For detailed information about the secondary status of the training job, see StatusMessage under SecondaryStatusTransition.
SageMaker provides primary statuses and secondary statuses that apply to each of them:
Starting - Starting the training job.
Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
Training - Training is in progress.
Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
Completed - The training job has completed.
Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.
MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
Stopped - The training job has stopped.
Stopping - Stopping the training job.
Valid values for SecondaryStatus are subject to change.
We no longer support the following secondary statuses:
LaunchingMLInstances
PreparingTrainingStack
DownloadingTrainingImage
The secondary status of the training job.
', ], ], 'SecondaryStatusTransition' => [ 'base' => 'An array element of SecondaryStatusTransitions for DescribeTrainingJob. It provides additional details about a status that the training job has transitioned through. A training job can be in one of several states, for example, starting, downloading, training, or uploading. Within each state, there are a number of intermediate states. For example, within the starting state, SageMaker could be starting the training job or launching the ML instances. These transitional states are referred to as the job\'s secondary status.
A history of all of the secondary statuses that the training job has transitioned through.
', 'TrainingJob$SecondaryStatusTransitions' => 'A history of all of the secondary statuses that the training job has transitioned through.
', ], ], 'SecretArn' => [ 'base' => NULL, 'refs' => [ 'GitConfig$SecretArn' => 'The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT and must be in the following format:
{"username": UserName, "password": Password}
The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT and must be in the following format:
{"username": UserName, "password": Password}
The ARN of an Amazon Web Services Secrets Manager secret that stores the credentials from your identity provider, such as the client ID and secret, authorization URL, and token URL.
', ], ], 'SecurityGroupId' => [ 'base' => NULL, 'refs' => [ 'DescribeDomainResponse$SecurityGroupIdForDomainBoundary' => 'The ID of the security group that authorizes traffic between the RSessionGateway apps and the RStudioServerPro app.
The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.
', 'DefaultSpaceSettings$SecurityGroups' => 'The security group IDs for the Amazon VPC that the space uses for communication.
', 'DescribeNotebookInstanceOutput$SecurityGroups' => 'The IDs of the VPC security groups.
', 'UserSettings$SecurityGroups' => 'The security groups for the Amazon Virtual Private Cloud (VPC) that the domain uses for communication.
Optional when the CreateDomain.AppNetworkAccessType parameter is set to PublicInternetOnly.
Required when the CreateDomain.AppNetworkAccessType parameter is set to VpcOnly, unless specified as part of the DefaultUserSettings for the domain.
Amazon SageMaker AI adds a security group to allow NFS traffic from Amazon SageMaker AI Studio. Therefore, the number of security groups that you can specify is one less than the maximum number shown.
SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn\'t apply these settings to shared spaces.
', ], ], 'Seed' => [ 'base' => NULL, 'refs' => [ 'ShuffleConfig$Seed' => 'Determines the shuffling order in ShuffleConfig value.
A step selected to run in selective execution mode.
', 'refs' => [ 'SelectedStepList$member' => NULL, ], ], 'SelectedStepList' => [ 'base' => NULL, 'refs' => [ 'SelectiveExecutionConfig$SelectedSteps' => 'A list of pipeline steps to run. All step(s) in all path(s) between two selected steps should be included.
', ], ], 'SelectiveExecutionConfig' => [ 'base' => 'The selective execution configuration applied to the pipeline run.
', 'refs' => [ 'DescribePipelineExecutionResponse$SelectiveExecutionConfig' => 'The selective execution configuration applied to the pipeline run.
', 'PipelineExecution$SelectiveExecutionConfig' => 'The selective execution configuration applied to the pipeline run.
', 'StartPipelineExecutionRequest$SelectiveExecutionConfig' => 'The selective execution configuration applied to the pipeline run.
', ], ], 'SelectiveExecutionResult' => [ 'base' => 'The ARN from an execution of the current pipeline.
', 'refs' => [ 'PipelineExecutionStep$SelectiveExecutionResult' => 'The ARN from an execution of the current pipeline from which results are reused for this step.
', ], ], 'SendPipelineExecutionStepFailureRequest' => [ 'base' => NULL, 'refs' => [], ], 'SendPipelineExecutionStepFailureResponse' => [ 'base' => NULL, 'refs' => [], ], 'SendPipelineExecutionStepSuccessRequest' => [ 'base' => NULL, 'refs' => [], ], 'SendPipelineExecutionStepSuccessResponse' => [ 'base' => NULL, 'refs' => [], ], 'ServerlessMaxConcurrency' => [ 'base' => NULL, 'refs' => [ 'ProductionVariantServerlessConfig$MaxConcurrency' => 'The maximum number of concurrent invocations your serverless endpoint can process.
', 'ProductionVariantServerlessUpdateConfig$MaxConcurrency' => 'The updated maximum number of concurrent invocations your serverless endpoint can process.
', ], ], 'ServerlessMemorySizeInMB' => [ 'base' => NULL, 'refs' => [ 'ProductionVariantServerlessConfig$MemorySizeInMB' => 'The memory size of your serverless endpoint. Valid values are in 1 GB increments: 1024 MB, 2048 MB, 3072 MB, 4096 MB, 5120 MB, or 6144 MB.
', ], ], 'ServerlessProvisionedConcurrency' => [ 'base' => NULL, 'refs' => [ 'ProductionVariantServerlessConfig$ProvisionedConcurrency' => 'The amount of provisioned concurrency to allocate for the serverless endpoint. Should be less than or equal to MaxConcurrency.
This field is not supported for serverless endpoint recommendations for Inference Recommender jobs. For more information about creating an Inference Recommender job, see CreateInferenceRecommendationsJobs.
The updated amount of provisioned concurrency to allocate for the serverless endpoint. Should be less than or equal to MaxConcurrency.
The ID of the provisioned product.
', 'ServiceCatalogProvisioningDetails$ProductId' => 'The ID of the product to provision.
', 'ServiceCatalogProvisioningDetails$ProvisioningArtifactId' => 'The ID of the provisioning artifact.
', 'ServiceCatalogProvisioningDetails$PathId' => 'The path identifier of the product. This value is optional if the product has a default path, and required if the product has more than one path.
', 'ServiceCatalogProvisioningUpdateDetails$ProvisioningArtifactId' => 'The ID of the provisioning artifact.
', ], ], 'ServiceCatalogProvisionedProductDetails' => [ 'base' => 'Details of a provisioned service catalog product. For information about service catalog, see What is Amazon Web Services Service Catalog.
', 'refs' => [ 'DescribeProjectOutput$ServiceCatalogProvisionedProductDetails' => 'Information about a provisioned service catalog product.
', 'Project$ServiceCatalogProvisionedProductDetails' => NULL, ], ], 'ServiceCatalogProvisioningDetails' => [ 'base' => 'Details that you specify to provision a service catalog product. For information about service catalog, see What is Amazon Web Services Service Catalog.
', 'refs' => [ 'CreateProjectInput$ServiceCatalogProvisioningDetails' => 'The product ID and provisioning artifact ID to provision a service catalog. The provisioning artifact ID will default to the latest provisioning artifact ID of the product, if you don\'t provide the provisioning artifact ID. For more information, see What is Amazon Web Services Service Catalog.
', 'DescribeProjectOutput$ServiceCatalogProvisioningDetails' => 'Information used to provision a service catalog product. For information, see What is Amazon Web Services Service Catalog.
', 'Project$ServiceCatalogProvisioningDetails' => NULL, ], ], 'ServiceCatalogProvisioningUpdateDetails' => [ 'base' => 'Details that you specify to provision a service catalog product. For information about service catalog, see What is Amazon Web Services Service Catalog.
', 'refs' => [ 'UpdateProjectInput$ServiceCatalogProvisioningUpdateDetails' => 'The product ID and provisioning artifact ID to provision a service catalog. The provisioning artifact ID will default to the latest provisioning artifact ID of the product, if you don\'t provide the provisioning artifact ID. For more information, see What is Amazon Web Services Service Catalog.
', ], ], 'SessionChainingConfig' => [ 'base' => 'Contains information about attribute-based access control (ABAC) for a training job. The session chaining configuration uses Amazon Security Token Service (STS) for your training job to request temporary, limited-privilege credentials to tenants. For more information, see Attribute-based access control (ABAC) for multi-tenancy training.
', 'refs' => [ 'CreateTrainingJobRequest$SessionChainingConfig' => 'Contains information about attribute-based access control (ABAC) for the training job.
', ], ], 'SessionExpirationDurationInSeconds' => [ 'base' => NULL, 'refs' => [ 'CreatePartnerAppPresignedUrlRequest$SessionExpirationDurationInSeconds' => 'Indicates how long the Amazon SageMaker Partner AI App session can be accessed for after logging in.
', 'CreatePresignedDomainUrlRequest$SessionExpirationDurationInSeconds' => 'The session expiration duration in seconds. This value defaults to 43200.
', 'CreatePresignedMlflowTrackingServerUrlRequest$SessionExpirationDurationInSeconds' => 'The duration in seconds that your MLflow UI session is valid.
', 'CreatePresignedNotebookInstanceUrlInput$SessionExpirationDurationInSeconds' => 'The duration of the session, in seconds. The default is 12 hours.
', ], ], 'ShadowModeConfig' => [ 'base' => ' The configuration of ShadowMode inference experiment type, which specifies a production variant to take all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant it also specifies the percentage of requests that Amazon SageMaker replicates.
The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.
The configuration of ShadowMode inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant it also shows the percentage of requests that Amazon SageMaker replicates.
The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.
The name and sampling percentage of a shadow variant.
', 'refs' => [ 'ShadowModelVariantConfigList$member' => NULL, ], ], 'ShadowModelVariantConfigList' => [ 'base' => NULL, 'refs' => [ 'ShadowModeConfig$ShadowModelVariants' => 'List of shadow variant configurations.
', ], ], 'SharingSettings' => [ 'base' => 'Specifies options for sharing Amazon SageMaker AI Studio notebooks. These settings are specified as part of DefaultUserSettings when the CreateDomain API is called, and as part of UserSettings when the CreateUserProfile API is called. When SharingSettings is not specified, notebook sharing isn\'t allowed.
Specifies options for sharing Amazon SageMaker AI Studio notebooks.
', ], ], 'SharingType' => [ 'base' => NULL, 'refs' => [ 'SpaceSharingSettings$SharingType' => 'Specifies the sharing type of the space.
', 'SpaceSharingSettingsSummary$SharingType' => 'Specifies the sharing type of the space.
', ], ], 'ShuffleConfig' => [ 'base' => 'A configuration for a shuffle option for input data in a channel. If you use S3Prefix for S3DataType, the results of the S3 key prefix matches are shuffled. If you use ManifestFile, the order of the S3 object references in the ManifestFile is shuffled. If you use AugmentedManifestFile, the order of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling order is determined using the Seed value.
For Pipe input mode, when ShuffleConfig is specified shuffling is done at the start of every epoch. With large datasets, this ensures that the order of the training data is different for each epoch, and it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType of ShardedByS3Key, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.
A configuration for a shuffle option for input data in a channel. If you use S3Prefix for S3DataType, this shuffles the results of the S3 key prefix matches. If you use ManifestFile, the order of the S3 object references in the ManifestFile is shuffled. If you use AugmentedManifestFile, the order of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling order is determined using the Seed value.
For Pipe input mode, shuffling is done at the start of every epoch. With large datasets this ensures that the order of the training data is different for each epoch, it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType of ShardedByS3Key, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.
The ARN of the application managed by SageMaker AI in IAM Identity Center. This value is only returned for domains created after October 1, 2023.
', ], ], 'SingleSignOnUserIdentifier' => [ 'base' => NULL, 'refs' => [ 'CreateUserProfileRequest$SingleSignOnUserIdentifier' => 'A specifier for the type of value specified in SingleSignOnUserValue. Currently, the only supported value is "UserName". If the Domain\'s AuthMode is IAM Identity Center, this field is required. If the Domain\'s AuthMode is not IAM Identity Center, this field cannot be specified.
', 'DescribeUserProfileResponse$SingleSignOnUserIdentifier' => 'The IAM Identity Center user identifier.
', ], ], 'SkipModelValidation' => [ 'base' => NULL, 'refs' => [ 'CreateModelPackageInput$SkipModelValidation' => 'Indicates if you want to skip model validation.
', 'DescribeModelPackageOutput$SkipModelValidation' => 'Indicates if you want to skip model validation.
', 'ModelPackage$SkipModelValidation' => 'Indicates if you want to skip model validation.
', ], ], 'SnsTopicArn' => [ 'base' => NULL, 'refs' => [ 'AsyncInferenceNotificationConfig$SuccessTopic' => 'Amazon SNS topic to post a notification to when inference completes successfully. If no topic is provided, no notification is sent on success.
', 'AsyncInferenceNotificationConfig$ErrorTopic' => 'Amazon SNS topic to post a notification to when inference fails. If no topic is provided, no notification is sent on failure.
', 'LabelingJobOutputConfig$SnsTopicArn' => 'An Amazon Simple Notification Service (Amazon SNS) output topic ARN. Provide a SnsTopicArn if you want to do real time chaining to another streaming job and receive an Amazon SNS notifications each time a data object is submitted by a worker.
If you provide an SnsTopicArn in OutputConfig, when workers complete labeling tasks, Ground Truth will send labeling task output data to the SNS output topic you specify here.
To learn more, see Receive Output Data from a Streaming Labeling Job.
', 'LabelingJobSnsDataSource$SnsTopicArn' => 'The Amazon SNS input topic Amazon Resource Name (ARN). Specify the ARN of the input topic you will use to send new data objects to a streaming labeling job.
', ], ], 'SortActionsBy' => [ 'base' => NULL, 'refs' => [ 'ListActionsRequest$SortBy' => 'The property used to sort results. The default value is CreationTime.
The property used to sort results. The default value is CreationTime.
The property used to sort results. The default value is CreationTime.
The field to sort results by. The default is CreationTime.
The field to sort results by. The default is CreationTime.
The field to sort results by. The default is CreationTime.
The field to sort results by. The default is CreationTime.
Filter for sorting the list by a given value. For example, sort by name, creation time, or status.
', ], ], 'SortContextsBy' => [ 'base' => NULL, 'refs' => [ 'ListContextsRequest$SortBy' => 'The property used to sort results. The default value is CreationTime.
The property used to sort results. The default value is CreationTime.
The column by which to sort the listed inference experiments.
', ], ], 'SortLineageGroupsBy' => [ 'base' => NULL, 'refs' => [ 'ListLineageGroupsRequest$SortBy' => 'The parameter by which to sort the results. The default is CreationTime.
The sort order. The default value is Descending.
The sort order for the results. The default is Ascending.
The sort order. The default value is Descending.
The sort order for the results. The default is Ascending.
', 'ListArtifactsRequest$SortOrder' => 'The sort order. The default value is Descending.
The sort order. The default value is Descending.
The sort order for results. The default value is Ascending.
The order of the list. By default, listed in Descending order according to by SortBy. To change the list order, you can specify SortOrder to be Ascending.
The sort order for results. The default value is Ascending.
The sort order for results. The default is Ascending.
The order of the list. By default, listed in Descending order according to by SortBy. To change the list order, you can specify SortOrder to be Ascending.
The sort order. The default value is Descending.
Whether to sort the results in Ascending or Descending order. The default is Descending.
What direction to sort in.
', 'ListEdgeDeploymentPlansRequest$SortOrder' => 'The direction of the sorting (ascending or descending).
', 'ListEdgePackagingJobsRequest$SortOrder' => 'What direction to sort by.
', 'ListExperimentsRequest$SortOrder' => 'The sort order. The default value is Descending.
An optional value that specifies whether you want the results sorted in Ascending or Descending order.
Sort hub content versions by ascending or descending order.
', 'ListHubContentsRequest$SortOrder' => 'Sort hubs by ascending or descending order.
', 'ListHubsRequest$SortOrder' => 'Sort hubs by ascending or descending order.
', 'ListHumanTaskUisRequest$SortOrder' => 'An optional value that specifies whether you want the results sorted in Ascending or Descending order.
The sort order for results. The default is Ascending.
The direction of sorting (ascending or descending).
', 'ListInferenceRecommendationsJobsRequest$SortOrder' => 'The sort order for the results.
', 'ListLabelingJobsForWorkteamRequest$SortOrder' => 'The sort order for results. The default is Ascending.
The sort order for results. The default is Ascending.
The sort order for the results. The default is Ascending.
Change the order of the listed tracking servers. By default, tracking servers are listed in Descending order by creation time. To change the list order, you can specify SortOrder to be Ascending.
Whether to sort the results in Ascending or Descending order. The default is Descending.
Whether to sort the results in Ascending or Descending order. The default is Descending.
The sort order for results. The default is Ascending.
The sort order for the results. The default is Ascending.
Whether to sort the results in Ascending or Descending order. The default is Descending.
The sort order, whether Ascending or Descending, of the alert history. The default is Descending.
Whether to sort the results in Ascending or Descending order. The default is Descending.
Whether to sort the results in Ascending or Descending order. The default is Descending.
The sort order for results. The default is Ascending
The field by which to sort results. The default is CreatedTime.
The sort order for results.
', 'ListPipelinesRequest$SortOrder' => 'The sort order for results.
', 'ListProcessingJobsRequest$SortOrder' => 'The sort order for results. The default is Ascending.
The sort order for the results. The default is Ascending.
The sort order. The default value is Descending.
', 'ListTrainingJobsForHyperParameterTuningJobRequest$SortOrder' => 'The sort order for results. The default is Ascending.
The sort order for results. The default is Ascending.
The sort order for results. The default is Descending.
The sort order. The default value is Descending.
The sort order. The default value is Descending.
The sort order for the results. The default is Ascending.
', 'ListWorkforcesRequest$SortOrder' => 'Sort workforces in ascending or descending order.
', 'ListWorkteamsRequest$SortOrder' => 'The sort order for results. The default is Ascending.
The field by which to sort results. The default is CreatedTime.
The field by which to sort results. The default is CreatedTime.
Filter for sorting the list by a given value. For example, sort by name, creation time, or status.
', ], ], 'SortTrackingServerBy' => [ 'base' => NULL, 'refs' => [ 'ListMlflowTrackingServersRequest$SortBy' => 'Filter for trackings servers sorting by name, creation time, or creation status.
', ], ], 'SortTrialComponentsBy' => [ 'base' => NULL, 'refs' => [ 'ListTrialComponentsRequest$SortBy' => 'The property used to sort results. The default value is CreationTime.
The property used to sort results. The default value is CreationTime.
Specifies an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.
', 'refs' => [ 'SourceAlgorithmList$member' => NULL, ], ], 'SourceAlgorithmList' => [ 'base' => NULL, 'refs' => [ 'SourceAlgorithmSpecification$SourceAlgorithms' => 'A list of the algorithms that were used to create a model package.
', ], ], 'SourceAlgorithmSpecification' => [ 'base' => 'A list of algorithms that were used to create a model package.
', 'refs' => [ 'CreateModelPackageInput$SourceAlgorithmSpecification' => 'Details about the algorithm that was used to create the model package.
', 'DescribeModelPackageOutput$SourceAlgorithmSpecification' => 'Details about the algorithm that was used to create the model package.
', 'ModelPackage$SourceAlgorithmSpecification' => 'A list of algorithms that were used to create a model package.
', ], ], 'SourceIpConfig' => [ 'base' => 'A list of IP address ranges (CIDRs). Used to create an allow list of IP addresses for a private workforce. Workers will only be able to log in to their worker portal from an IP address within this range. By default, a workforce isn\'t restricted to specific IP addresses.
', 'refs' => [ 'CreateWorkforceRequest$SourceIpConfig' => NULL, 'UpdateWorkforceRequest$SourceIpConfig' => 'A list of one to ten worker IP address ranges (CIDRs) that can be used to access tasks assigned to this workforce.
Maximum: Ten CIDR values
', 'Workforce$SourceIpConfig' => 'A list of one to ten IP address ranges (CIDRs) to be added to the workforce allow list. By default, a workforce isn\'t restricted to specific IP addresses.
', ], ], 'SourceType' => [ 'base' => NULL, 'refs' => [ 'ExperimentSource$SourceType' => 'The source type.
', 'TrialComponentSource$SourceType' => 'The source job type.
', 'TrialSource$SourceType' => 'The source job type.
', ], ], 'SourceUri' => [ 'base' => NULL, 'refs' => [ 'ActionSource$SourceUri' => 'The URI of the source.
', 'ArtifactSource$SourceUri' => 'The URI of the source.
', 'ContextSource$SourceUri' => 'The URI of the source.
', 'ListActionsRequest$SourceUri' => 'A filter that returns only actions with the specified source URI.
', 'ListArtifactsRequest$SourceUri' => 'A filter that returns only artifacts with the specified source URI.
', 'ListContextsRequest$SourceUri' => 'A filter that returns only contexts with the specified source URI.
', ], ], 'SpaceAppLifecycleManagement' => [ 'base' => 'Settings that are used to configure and manage the lifecycle of Amazon SageMaker Studio applications in a space.
', 'refs' => [ 'SpaceCodeEditorAppSettings$AppLifecycleManagement' => 'Settings that are used to configure and manage the lifecycle of CodeEditor applications in a space.
', 'SpaceJupyterLabAppSettings$AppLifecycleManagement' => 'Settings that are used to configure and manage the lifecycle of JupyterLab applications in a space.
', ], ], 'SpaceArn' => [ 'base' => NULL, 'refs' => [ 'CreateSpaceResponse$SpaceArn' => 'The space\'s Amazon Resource Name (ARN).
', 'DescribeSpaceResponse$SpaceArn' => 'The space\'s Amazon Resource Name (ARN).
', 'UpdateSpaceResponse$SpaceArn' => 'The space\'s Amazon Resource Name (ARN).
', ], ], 'SpaceCodeEditorAppSettings' => [ 'base' => 'The application settings for a Code Editor space.
', 'refs' => [ 'SpaceSettings$CodeEditorAppSettings' => 'The Code Editor application settings.
', ], ], 'SpaceDetails' => [ 'base' => 'The space\'s details.
', 'refs' => [ 'SpaceList$member' => NULL, ], ], 'SpaceEbsVolumeSizeInGb' => [ 'base' => NULL, 'refs' => [ 'DefaultEbsStorageSettings$DefaultEbsVolumeSizeInGb' => 'The default size of the EBS storage volume for a space.
', 'DefaultEbsStorageSettings$MaximumEbsVolumeSizeInGb' => 'The maximum size of the EBS storage volume for a space.
', 'EbsStorageSettings$EbsVolumeSizeInGb' => 'The size of an EBS storage volume for a space.
', ], ], 'SpaceIdleSettings' => [ 'base' => 'Settings related to idle shutdown of Studio applications in a space.
', 'refs' => [ 'SpaceAppLifecycleManagement$IdleSettings' => 'Settings related to idle shutdown of Studio applications.
', ], ], 'SpaceJupyterLabAppSettings' => [ 'base' => 'The settings for the JupyterLab application within a space.
', 'refs' => [ 'SpaceSettings$JupyterLabAppSettings' => 'The settings for the JupyterLab application.
', ], ], 'SpaceList' => [ 'base' => NULL, 'refs' => [ 'ListSpacesResponse$Spaces' => 'The list of spaces.
', ], ], 'SpaceName' => [ 'base' => NULL, 'refs' => [ 'AppDetails$SpaceName' => 'The name of the space.
', 'CreateAppRequest$SpaceName' => 'The name of the space. If this value is not set, then UserProfileName must be set.
The name of the space.
', 'CreateSpaceRequest$SpaceName' => 'The name of the space.
', 'DeleteAppRequest$SpaceName' => 'The name of the space. If this value is not set, then UserProfileName must be set.
The name of the space.
', 'DescribeAppRequest$SpaceName' => 'The name of the space.
', 'DescribeAppResponse$SpaceName' => 'The name of the space. If this value is not set, then UserProfileName must be set.
The name of the space.
', 'DescribeSpaceResponse$SpaceName' => 'The name of the space.
', 'ListAppsRequest$SpaceNameEquals' => 'A parameter to search by space name. If UserProfileNameEquals is set, then this value cannot be set.
A parameter by which to filter the results.
', 'SpaceDetails$SpaceName' => 'The name of the space.
', 'UpdateSpaceRequest$SpaceName' => 'The name of the space.
', ], ], 'SpaceSettings' => [ 'base' => 'A collection of space settings.
', 'refs' => [ 'CreateSpaceRequest$SpaceSettings' => 'A collection of space settings.
', 'DescribeSpaceResponse$SpaceSettings' => 'A collection of space settings.
', 'UpdateSpaceRequest$SpaceSettings' => 'A collection of space settings.
', ], ], 'SpaceSettingsSummary' => [ 'base' => 'Specifies summary information about the space settings.
', 'refs' => [ 'SpaceDetails$SpaceSettingsSummary' => 'Specifies summary information about the space settings.
', ], ], 'SpaceSharingSettings' => [ 'base' => 'A collection of space sharing settings.
', 'refs' => [ 'CreateSpaceRequest$SpaceSharingSettings' => 'A collection of space sharing settings.
', 'DescribeSpaceResponse$SpaceSharingSettings' => 'The collection of space sharing settings for a space.
', ], ], 'SpaceSharingSettingsSummary' => [ 'base' => 'Specifies summary information about the space sharing settings.
', 'refs' => [ 'SpaceDetails$SpaceSharingSettingsSummary' => 'Specifies summary information about the space sharing settings.
', ], ], 'SpaceSortKey' => [ 'base' => NULL, 'refs' => [ 'ListSpacesRequest$SortBy' => 'The parameter by which to sort the results. The default is CreationTime.
The status.
', 'SpaceDetails$Status' => 'The status.
', ], ], 'SpaceStorageSettings' => [ 'base' => 'The storage settings for a space.
', 'refs' => [ 'SpaceSettings$SpaceStorageSettings' => 'The storage settings for a space.
', 'SpaceSettingsSummary$SpaceStorageSettings' => 'The storage settings for a space.
', ], ], 'SpawnRate' => [ 'base' => NULL, 'refs' => [ 'Phase$SpawnRate' => 'Specified how many new users to spawn in a minute.
', ], ], 'SplitType' => [ 'base' => NULL, 'refs' => [ 'TransformInput$SplitType' => 'The method to use to split the transform job\'s data files into smaller batches. Splitting is necessary when the total size of each object is too large to fit in a single request. You can also use data splitting to improve performance by processing multiple concurrent mini-batches. The default value for SplitType is None, which indicates that input data files are not split, and request payloads contain the entire contents of an input object. Set the value of this parameter to Line to split records on a newline character boundary. SplitType also supports a number of record-oriented binary data formats. Currently, the supported record formats are:
RecordIO
TFRecord
When splitting is enabled, the size of a mini-batch depends on the values of the BatchStrategy and MaxPayloadInMB parameters. When the value of BatchStrategy is MultiRecord, Amazon SageMaker sends the maximum number of records in each request, up to the MaxPayloadInMB limit. If the value of BatchStrategy is SingleRecord, Amazon SageMaker sends individual records in each request.
Some data formats represent a record as a binary payload wrapped with extra padding bytes. When splitting is applied to a binary data format, padding is removed if the value of BatchStrategy is set to SingleRecord. Padding is not removed if the value of BatchStrategy is set to MultiRecord.
For more information about RecordIO, see Create a Dataset Using RecordIO in the MXNet documentation. For more information about TFRecord, see Consuming TFRecord data in the TensorFlow documentation.
Describes the stage related details.
', ], ], 'StageStatus' => [ 'base' => NULL, 'refs' => [ 'EdgeDeploymentStatus$StageStatus' => 'The general status of the current stage.
', ], ], 'Stairs' => [ 'base' => 'Defines the stairs traffic pattern for an Inference Recommender load test. This pattern type consists of multiple steps where the number of users increases at each step.
Specify either the stairs or phases traffic pattern.
', 'refs' => [ 'TrafficPattern$Stairs' => 'Defines the stairs traffic pattern.
', ], ], 'StartEdgeDeploymentStageRequest' => [ 'base' => NULL, 'refs' => [], ], 'StartInferenceExperimentRequest' => [ 'base' => NULL, 'refs' => [], ], 'StartInferenceExperimentResponse' => [ 'base' => NULL, 'refs' => [], ], 'StartMlflowTrackingServerRequest' => [ 'base' => NULL, 'refs' => [], ], 'StartMlflowTrackingServerResponse' => [ 'base' => NULL, 'refs' => [], ], 'StartMonitoringScheduleRequest' => [ 'base' => NULL, 'refs' => [], ], 'StartNotebookInstanceInput' => [ 'base' => NULL, 'refs' => [], ], 'StartPipelineExecutionRequest' => [ 'base' => NULL, 'refs' => [], ], 'StartPipelineExecutionResponse' => [ 'base' => NULL, 'refs' => [], ], 'Statistic' => [ 'base' => NULL, 'refs' => [ 'CustomizedMetricSpecification$Statistic' => 'The statistic of the customized metric.
', ], ], 'StatusDetails' => [ 'base' => NULL, 'refs' => [ 'DebugRuleEvaluationStatus$StatusDetails' => 'Details from the rule evaluation.
', 'ProfilerRuleEvaluationStatus$StatusDetails' => 'Details from the rule evaluation.
', ], ], 'StatusMessage' => [ 'base' => NULL, 'refs' => [ 'SecondaryStatusTransition$StatusMessage' => 'A detailed description of the progress within a secondary status.
SageMaker provides secondary statuses and status messages that apply to each of them:
Starting the training job.
Launching requested ML instances.
Insufficient capacity error from EC2 while launching instances, retrying!
Launched instance was unhealthy, replacing it!
Preparing the instances for training.
Training image download completed. Training in progress.
Status messages are subject to change. Therefore, we recommend not including them in code that programmatically initiates actions. For examples, don\'t use status messages in if statements.
To have an overview of your training job\'s progress, view TrainingJobStatus and SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For example, at the start of a training job, you might see the following:
TrainingJobStatus - InProgress
SecondaryStatus - Training
StatusMessage - Downloading the training image
The description of the step.
', ], ], 'StepDisplayName' => [ 'base' => NULL, 'refs' => [ 'PipelineExecutionStep$StepDisplayName' => 'The display name of the step.
', ], ], 'StepName' => [ 'base' => NULL, 'refs' => [ 'PipelineExecutionStep$StepName' => 'The name of the step that is executed.
', ], ], 'StepStatus' => [ 'base' => NULL, 'refs' => [ 'PipelineExecutionStep$StepStatus' => 'The status of the step execution.
', ], ], 'StopAutoMLJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopCompilationJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopEdgeDeploymentStageRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopEdgePackagingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopHyperParameterTuningJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopInferenceExperimentRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopInferenceExperimentResponse' => [ 'base' => NULL, 'refs' => [], ], 'StopInferenceRecommendationsJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopLabelingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopMlflowTrackingServerRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopMlflowTrackingServerResponse' => [ 'base' => NULL, 'refs' => [], ], 'StopMonitoringScheduleRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopNotebookInstanceInput' => [ 'base' => NULL, 'refs' => [], ], 'StopOptimizationJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopPipelineExecutionRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopPipelineExecutionResponse' => [ 'base' => NULL, 'refs' => [], ], 'StopProcessingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopTrainingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopTransformJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StoppingCondition' => [ 'base' => 'Specifies a limit to how long a job can run. When the job reaches the time limit, SageMaker ends the job. Use this API to cap costs.
To stop a training job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
The training algorithms provided by SageMaker automatically save the intermediate results of a model training job when possible. This attempt to save artifacts is only a best effort case as model might not be in a state from which it can be saved. For example, if training has just started, the model might not be ready to save. When saved, this intermediate data is a valid model artifact. You can use it to create a model with CreateModel.
The Neural Topic Model (NTM) currently does not support saving intermediate model artifacts. When training NTMs, make sure that the maximum runtime is sufficient for the training job to complete.
Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker AI ends the compilation job. Use this API to cap model training costs.
', 'CreateOptimizationJobRequest$StoppingCondition' => NULL, 'CreateTrainingJobRequest$StoppingCondition' => 'Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker AI ends the compilation job. Use this API to cap model training costs.
', 'DescribeOptimizationJobResponse$StoppingCondition' => NULL, 'DescribeTrainingJobResponse$StoppingCondition' => 'Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
Specifies a limit to how long a model hyperparameter training job can run. It also specifies how long a managed spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.
', 'TrainingJob$StoppingCondition' => 'Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts.
', ], ], 'StorageType' => [ 'base' => NULL, 'refs' => [ 'OnlineStoreConfig$StorageType' => 'Option for different tiers of low latency storage for real-time data retrieval.
Standard: A managed low latency data store for feature groups.
InMemory: A managed data store for feature groups that supports very low latency retrieval.
The ETag associated with S3 URI.
', 'AlgorithmStatusItem$FailureReason' => 'if the overall status is Failed, the reason for the failure.
A message describing the error encountered when deleting a node.
', 'BatchDescribeModelPackageError$ErrorCode' => '', 'BatchDescribeModelPackageError$ErrorResponse' => '', 'BatchTransformInput$FeaturesAttribute' => 'The attributes of the input data that are the input features.
', 'BatchTransformInput$InferenceAttribute' => 'The attribute of the input data that represents the ground truth label.
', 'BatchTransformInput$ProbabilityAttribute' => 'In a classification problem, the attribute that represents the class probability.
', 'ClusterInstanceStatusDetails$Message' => 'The message from an instance in a SageMaker HyperPod cluster.
', 'ClusterNodeDetails$InstanceId' => 'The ID of the instance.
', 'ClusterNodeSummary$InstanceId' => 'The ID of the instance.
', 'CreateModelPackageInput$Domain' => 'The machine learning domain of your model package and its components. Common machine learning domains include computer vision and natural language processing.
', 'CreateModelPackageInput$Task' => 'The machine learning task your model package accomplishes. Common machine learning tasks include object detection and image classification. The following tasks are supported by Inference Recommender: "IMAGE_CLASSIFICATION" | "OBJECT_DETECTION" | "TEXT_GENERATION" |"IMAGE_SEGMENTATION" | "FILL_MASK" | "CLASSIFICATION" | "REGRESSION" | "OTHER".
Specify "OTHER" if none of the tasks listed fit your use case.
', 'CustomizedMetricSpecification$MetricName' => 'The name of the customized metric.
', 'CustomizedMetricSpecification$Namespace' => 'The namespace of the customized metric.
', 'DescribeClusterResponse$FailureMessage' => 'The failure message of the SageMaker HyperPod cluster.
', 'DescribeEdgePackagingJobResponse$EdgePackagingJobStatusMessage' => 'Returns a message describing the job status and error messages.
', 'DescribeEdgePackagingJobResponse$ModelSignature' => 'The signature document of files in the model artifact.
', 'DescribeModelPackageOutput$Domain' => 'The machine learning domain of the model package you specified. Common machine learning domains include computer vision and natural language processing.
', 'DescribeModelPackageOutput$Task' => 'The machine learning task you specified that your model package accomplishes. Common machine learning tasks include object detection and image classification.
', 'DescribeModelPackageOutput$SamplePayloadUrl' => 'The Amazon Simple Storage Service (Amazon S3) path where the sample payload are stored. This path points to a single gzip compressed tar archive (.tar.gz suffix).
', 'DeviceDeploymentSummary$DeviceDeploymentStatusMessage' => 'The detailed error message for the deployoment status result.
', 'EdgeDeploymentStatus$EdgeDeploymentStatusMessage' => 'A detailed message about deployment status in current stage.
', 'EdgeOutputConfig$PresetDeploymentConfig' => 'The configuration used to create deployment artifacts. Specify configuration options with a JSON string. The available configuration options for each type are:
ComponentName (optional) - Name of the GreenGrass V2 component. If not specified, the default name generated consists of "SagemakerEdgeManager" and the name of your SageMaker Edge Manager packaging job.
ComponentDescription (optional) - Description of the component.
ComponentVersion (optional) - The version of the component.
Amazon Web Services IoT Greengrass uses semantic versions for components. Semantic versions follow a major.minor.patch number system. For example, version 1.0.0 represents the first major release for a component. For more information, see the semantic version specification.
PlatformOS (optional) - The name of the operating system for the platform. Supported platforms include Windows and Linux.
PlatformArchitecture (optional) - The processor architecture for the platform.
Supported architectures Windows include: Windows32_x86, Windows64_x64.
Supported architectures for Linux include: Linux x86_64, Linux ARMV8.
Returns a message describing the status of the deployed resource.
', 'EndpointInput$FeaturesAttribute' => 'The attributes of the input data that are the input features.
', 'EndpointInput$InferenceAttribute' => 'The attribute of the input data that represents the ground truth label.
', 'EndpointInput$ProbabilityAttribute' => 'In a classification problem, the attribute that represents the class probability.
', 'EndpointOutputConfiguration$EndpointName' => 'The name of the endpoint made during a recommendation job.
', 'EndpointOutputConfiguration$VariantName' => 'The name of the production variant (deployed model) made during a recommendation job.
', 'EnvironmentParameter$Key' => 'The environment key suggested by the Amazon SageMaker Inference Recommender.
', 'EnvironmentParameter$ValueType' => 'The value type suggested by the Amazon SageMaker Inference Recommender.
', 'EnvironmentParameter$Value' => 'The value suggested by the Amazon SageMaker Inference Recommender.
', 'GetScalingConfigurationRecommendationRequest$RecommendationId' => 'The recommendation ID of a previously completed inference recommendation. This ID should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.
Specify either this field or the EndpointName field.
The recommendation ID of a previously completed inference recommendation.
', 'IamIdentity$Arn' => 'The Amazon Resource Name (ARN) of the IAM identity.
', 'IamIdentity$PrincipalId' => 'The ID of the principal that assumes the IAM identity.
', 'IamIdentity$SourceIdentity' => 'The person or application which assumes the IAM identity.
', 'InferenceRecommendation$RecommendationId' => 'The recommendation ID which uniquely identifies each recommendation.
', 'ListProcessingJobsRequest$NameContains' => 'A string in the processing job name. This filter returns only processing jobs whose name contains the specified string.
', 'ModelCard$ModelId' => 'The unique name (ID) of the model.
', 'ModelCard$RiskRating' => 'The risk rating of the model. Different organizations might have different criteria for model card risk ratings. For more information, see Risk ratings.
', 'ModelCard$ModelPackageGroupName' => 'The model package group that contains the model package. Only relevant for model cards created for model packages in the Amazon SageMaker Model Registry.
', 'ModelDashboardModelCard$ModelId' => 'For models created in SageMaker, this is the model ARN. For models created outside of SageMaker, this is a user-customized string.
', 'ModelDashboardModelCard$RiskRating' => 'A model card\'s risk rating. Can be low, medium, or high.
', 'ModelMetadataSummary$Domain' => 'The machine learning domain of the model.
', 'ModelMetadataSummary$Framework' => 'The machine learning framework of the model.
', 'ModelMetadataSummary$Task' => 'The machine learning task of the model.
', 'ModelMetadataSummary$Model' => 'The name of the model.
', 'ModelMetadataSummary$FrameworkVersion' => 'The framework version of the model.
', 'ModelPackage$Domain' => 'The machine learning domain of your model package and its components. Common machine learning domains include computer vision and natural language processing.
', 'ModelPackage$Task' => 'The machine learning task your model package accomplishes. Common machine learning tasks include object detection and image classification.
', 'ModelPackage$SamplePayloadUrl' => 'The Amazon Simple Storage Service path where the sample payload are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
', 'ModelPackageContainerDefinition$Framework' => 'The machine learning framework of the model package container image.
', 'ModelPackageContainerDefinition$NearestModelName' => 'The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model. You can find a list of benchmarked models by calling ListModelMetadata.
The ETag associated with Model Data URL.
', 'ModelPackageStatusItem$FailureReason' => 'if the overall status is Failed, the reason for the failure.
The metric type. You can only apply SageMaker metric types to SageMaker endpoints.
', 'ProcessingInput$InputName' => 'The name for the processing job input.
', 'ProcessingOutput$OutputName' => 'The name for the processing job output.
', 'ProductListings$member' => NULL, 'RStudioServerProDomainSettings$RStudioConnectUrl' => 'A URL pointing to an RStudio Connect server.
', 'RStudioServerProDomainSettings$RStudioPackageManagerUrl' => 'A URL pointing to an RStudio Package Manager server.
', 'RStudioServerProDomainSettingsForUpdate$RStudioConnectUrl' => 'A URL pointing to an RStudio Connect server.
', 'RStudioServerProDomainSettingsForUpdate$RStudioPackageManagerUrl' => 'A URL pointing to an RStudio Package Manager server.
', 'RealTimeInferenceRecommendation$RecommendationId' => 'The recommendation ID which uniquely identifies each recommendation.
', 'RecommendationJobContainerConfig$Domain' => 'The machine learning domain of the model and its components.
Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING
The machine learning task that the model accomplishes.
Valid Values: IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER
The machine learning framework of the container image.
Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN
The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.
Valid Values: efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet
A Liquid template that renders the HTML for the worker UI.
', 'RenderingError$Code' => 'A unique identifier for a specific class of errors.
', 'RenderingError$Message' => 'A human-readable message describing the error.
', 'S3ModelDataSource$ETag' => 'The ETag associated with S3 URI.
', 'S3ModelDataSource$ManifestEtag' => 'The ETag associated with Manifest S3URI.
', 'ScheduleConfig$DataAnalysisStartTime' => 'Sets the start time for a monitoring job window. Express this time as an offset to the times that you schedule your monitoring jobs to run. You schedule monitoring jobs with the ScheduleExpression parameter. Specify this offset in ISO 8601 duration format. For example, if you want to monitor the five hours of data in your dataset that precede the start of each monitoring job, you would specify: "-PT5H".
The start time that you specify must not precede the end time that you specify by more than 24 hours. You specify the end time with the DataAnalysisEndTime parameter.
If you set ScheduleExpression to NOW, this parameter is required.
Sets the end time for a monitoring job window. Express this time as an offset to the times that you schedule your monitoring jobs to run. You schedule monitoring jobs with the ScheduleExpression parameter. Specify this offset in ISO 8601 duration format. For example, if you want to end the window one hour before the start of each monitoring job, you would specify: "-PT1H".
The end time that you specify must not follow the start time that you specify by more than 24 hours. You specify the start time with the DataAnalysisStartTime parameter.
If you set ScheduleExpression to NOW, this parameter is required.
The ETag associated with Model Data URL.
', 'SubscribedWorkteam$SellerName' => 'The name of the vendor in the Amazon Marketplace.
', 'SubscribedWorkteam$ListingId' => 'Marketplace product listing ID.
', 'UserContext$UserProfileArn' => 'The Amazon Resource Name (ARN) of the user\'s profile.
', 'UserContext$UserProfileName' => 'The name of the user\'s profile.
', 'UserContext$DomainId' => 'The domain associated with the user.
', 'Workforce$SubDomain' => 'The subdomain for your OIDC Identity Provider.
', 'Workteam$SubDomain' => 'The URI of the labeling job\'s user interface. Workers open this URI to start labeling your data objects.
', ], ], 'String1024' => [ 'base' => NULL, 'refs' => [ 'ClarifyCheckStepMetadata$BaselineUsedForDriftCheckConstraints' => 'The Amazon S3 URI of baseline constraints file to be used for the drift check.
', 'ClarifyCheckStepMetadata$CalculatedBaselineConstraints' => 'The Amazon S3 URI of the newly calculated baseline constraints file.
', 'ClarifyCheckStepMetadata$ViolationReport' => 'The Amazon S3 URI of the violation report if violations are detected.
', 'CreateDomainResponse$Url' => 'The URL to the created domain.
', 'DescribeDomainResponse$Url' => 'The domain\'s URL.
', 'DescribeSpaceResponse$Url' => 'Returns the URL of the space. If the space is created with Amazon Web Services IAM Identity Center (Successor to Amazon Web Services Single Sign-On) authentication, users can navigate to the URL after appending the respective redirect parameter for the application type to be federated through Amazon Web Services IAM Identity Center.
The following application types are supported:
Studio Classic: &redirect=JupyterServer
JupyterLab: &redirect=JupyterLab
Code Editor, based on Code-OSS, Visual Studio Code - Open Source: &redirect=CodeEditor
The domain\'s URL.
', 'EMRStepMetadata$LogFilePath' => 'The path to the log file where the cluster step\'s failure root cause is recorded.
', 'OutputParameter$Value' => 'The value of the output parameter.
', 'Parameter$Value' => 'The literal value for the parameter.
', 'PartnerAppArguments$value' => NULL, 'QualityCheckStepMetadata$BaselineUsedForDriftCheckStatistics' => 'The Amazon S3 URI of the baseline statistics file used for the drift check.
', 'QualityCheckStepMetadata$BaselineUsedForDriftCheckConstraints' => 'The Amazon S3 URI of the baseline constraints file used for the drift check.
', 'QualityCheckStepMetadata$CalculatedBaselineStatistics' => 'The Amazon S3 URI of the newly calculated baseline statistics file.
', 'QualityCheckStepMetadata$CalculatedBaselineConstraints' => 'The Amazon S3 URI of the newly calculated baseline constraints file.
', 'QualityCheckStepMetadata$ViolationReport' => 'The Amazon S3 URI of violation report if violations are detected.
', ], ], 'String128' => [ 'base' => NULL, 'refs' => [ 'CategoricalParameterRangeValues$member' => NULL, ], ], 'String200' => [ 'base' => NULL, 'refs' => [ 'CreateWorkteamRequest$Description' => 'A description of the work team.
', 'SubscribedWorkteam$MarketplaceTitle' => 'The title of the service provided by the vendor in the Amazon Marketplace.
', 'SubscribedWorkteam$MarketplaceDescription' => 'The description of the vendor from the Amazon Marketplace.
', 'UpdateWorkteamRequest$Description' => 'An updated description for the work team.
', 'Workteam$Description' => 'A description of the work team.
', ], ], 'String2048' => [ 'base' => NULL, 'refs' => [ 'CreatePartnerAppPresignedUrlResponse$Url' => 'The presigned URL that you can use to access the SageMaker Partner AI App.
', 'DescribePartnerAppResponse$BaseUrl' => 'The URL of the SageMaker Partner AI App that the Application SDK uses to support in-app calls for the user.
', ], ], 'String256' => [ 'base' => NULL, 'refs' => [ 'ActionSource$SourceType' => 'The type of the source.
', 'ActionSource$SourceId' => 'The ID of the source.
', 'ArtifactSourceType$Value' => 'The ID.
', 'ArtifactSummary$ArtifactType' => 'The type of the artifact.
', 'AssociationSummary$SourceType' => 'The source type.
', 'AssociationSummary$DestinationType' => 'The destination type.
', 'CallbackStepMetadata$SqsQueueUrl' => 'The URL of the Amazon Simple Queue Service (Amazon SQS) queue used by the callback step.
', 'ClarifyCheckStepMetadata$CheckType' => 'The type of the Clarify Check step
', 'ClarifyCheckStepMetadata$ModelPackageGroupName' => 'The model package group name.
', 'ClarifyCheckStepMetadata$CheckJobArn' => 'The Amazon Resource Name (ARN) of the check processing job that was run by this step\'s execution.
', 'ContextSource$SourceType' => 'The type of the source.
', 'ContextSource$SourceId' => 'The ID of the source.
', 'ContextSummary$ContextType' => 'The type of the context.
', 'CreateActionRequest$ActionType' => 'The action type.
', 'CreateArtifactRequest$ArtifactType' => 'The artifact type.
', 'CreateContextRequest$ContextType' => 'The context type.
', 'CreateUserProfileRequest$SingleSignOnUserValue' => 'The username of the associated Amazon Web Services Single Sign-On User for this UserProfile. If the Domain\'s AuthMode is IAM Identity Center, this field is required, and must match a valid username of a user in your directory. If the Domain\'s AuthMode is not IAM Identity Center, this field cannot be specified.
', 'CustomImageContainerEnvironmentVariables$value' => NULL, 'DescribeActionResponse$ActionType' => 'The type of the action.
', 'DescribeArtifactResponse$ArtifactType' => 'The type of the artifact.
', 'DescribeContextResponse$ContextType' => 'The type of the context.
', 'DescribeDomainResponse$SingleSignOnManagedApplicationInstanceId' => 'The IAM Identity Center managed application instance ID.
', 'DescribeTrainingPlanResponse$UpfrontFee' => 'The upfront fee for the training plan.
', 'DescribeUserProfileResponse$SingleSignOnUserValue' => 'The IAM Identity Center user value.
', 'EMRStepMetadata$ClusterId' => 'The identifier of the EMR cluster.
', 'EMRStepMetadata$StepId' => 'The identifier of the EMR cluster step.
', 'EMRStepMetadata$StepName' => 'The name of the EMR cluster step.
', 'LambdaStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution.
', 'ListActionsRequest$ActionType' => 'A filter that returns only actions of the specified type.
', 'ListArtifactsRequest$ArtifactType' => 'A filter that returns only artifacts of the specified type.
', 'ListAssociationsRequest$SourceType' => 'A filter that returns only associations with the specified source type.
', 'ListAssociationsRequest$DestinationType' => 'A filter that returns only associations with the specified destination type.
', 'ListContextsRequest$ContextType' => 'A filter that returns only contexts of the specified type.
', 'ListTrialComponentsRequest$SourceArn' => 'A filter that returns only components that have the specified source Amazon Resource Name (ARN). If you specify SourceArn, you can\'t filter by ExperimentName or TrialName.
The value to filter the model metadata.
', 'ModelStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the created model.
', 'OptimizationJobEnvironmentVariables$value' => NULL, 'OutputParameter$Name' => 'The name of the output parameter.
', 'QualityCheckStepMetadata$CheckType' => 'The type of the Quality check step.
', 'QualityCheckStepMetadata$ModelPackageGroupName' => 'The model package group name.
', 'QualityCheckStepMetadata$CheckJobArn' => 'The Amazon Resource Name (ARN) of the Quality check processing job that was run by this step execution.
', 'QueryProperties$key' => NULL, 'QueryProperties$value' => NULL, 'RegisterModelStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the model package.
', 'SelectedStep$StepName' => 'The name of the pipeline step.
', 'SendPipelineExecutionStepFailureRequest$FailureReason' => 'A message describing why the step failed.
', 'TrainingPlanOffering$UpfrontFee' => 'The upfront fee for this training plan offering.
', 'TrainingPlanSummary$UpfrontFee' => 'The upfront fee for the training plan.
', ], ], 'String3072' => [ 'base' => NULL, 'refs' => [ 'FailStepMetadata$ErrorMessage' => 'A message that you define and then is processed and rendered by the Fail step when the error occurs.
', 'PipelineExecutionSummary$PipelineExecutionFailureReason' => 'A message generated by SageMaker Pipelines describing why the pipeline execution failed.
', ], ], 'String40' => [ 'base' => NULL, 'refs' => [ 'QueryTypes$member' => NULL, 'Vertex$Type' => 'The type of the lineage entity resource. For example: DataSet, Model, Endpoint, etc...
The type of the action.
', 'CategoricalParameter$Name' => 'The Name of the environment variable.
', 'ModelLatencyThreshold$Percentile' => 'The model latency percentile threshold. Acceptable values are P95 and P99. For custom load tests, specify the value as P95.
The value to filter by for the specified field.
', ], ], 'String8192' => [ 'base' => NULL, 'refs' => [ 'QueryLineageRequest$NextToken' => 'Limits the number of vertices in the request. Use the NextToken in a response to to retrieve the next page of results.
Limits the number of vertices in the response. Use the NextToken in a response to to retrieve the next page of results.
The string value of a categorical hyperparameter. If you specify a value for this parameter, you can\'t specify the NumberValue parameter.
The App type that the Lifecycle Configuration is attached to.
', 'DescribeStudioLifecycleConfigResponse$StudioLifecycleConfigAppType' => 'The App type that the Lifecycle Configuration is attached to.
', 'ListStudioLifecycleConfigsRequest$AppTypeEquals' => 'A parameter to search for the App Type to which the Lifecycle Configuration is attached.
', 'StudioLifecycleConfigDetails$StudioLifecycleConfigAppType' => 'The App type to which the Lifecycle Configuration is attached.
', ], ], 'StudioLifecycleConfigArn' => [ 'base' => NULL, 'refs' => [ 'CodeEditorAppSettings$BuiltInLifecycleConfigArn' => 'The lifecycle configuration that runs before the default lifecycle configuration. It can override changes made in the default lifecycle configuration.
', 'CreateStudioLifecycleConfigResponse$StudioLifecycleConfigArn' => 'The ARN of your created Lifecycle Configuration.
', 'DescribeAppResponse$BuiltInLifecycleConfigArn' => 'The lifecycle configuration that runs before the default lifecycle configuration
', 'DescribeStudioLifecycleConfigResponse$StudioLifecycleConfigArn' => 'The ARN of the Lifecycle Configuration to describe.
', 'JupyterLabAppSettings$BuiltInLifecycleConfigArn' => 'The lifecycle configuration that runs before the default lifecycle configuration. It can override changes made in the default lifecycle configuration.
', 'LifecycleConfigArns$member' => NULL, 'ResourceSpec$LifecycleConfigArn' => 'The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.
', 'StudioLifecycleConfigDetails$StudioLifecycleConfigArn' => 'The Amazon Resource Name (ARN) of the Lifecycle Configuration.
', ], ], 'StudioLifecycleConfigContent' => [ 'base' => NULL, 'refs' => [ 'CreateStudioLifecycleConfigRequest$StudioLifecycleConfigContent' => 'The content of your Amazon SageMaker AI Studio Lifecycle Configuration script. This content must be base64 encoded.
', 'DescribeStudioLifecycleConfigResponse$StudioLifecycleConfigContent' => 'The content of your Amazon SageMaker AI Studio Lifecycle Configuration script.
', ], ], 'StudioLifecycleConfigDetails' => [ 'base' => 'Details of the Amazon SageMaker AI Studio Lifecycle Configuration.
', 'refs' => [ 'StudioLifecycleConfigsList$member' => NULL, ], ], 'StudioLifecycleConfigName' => [ 'base' => NULL, 'refs' => [ 'CreateStudioLifecycleConfigRequest$StudioLifecycleConfigName' => 'The name of the Amazon SageMaker AI Studio Lifecycle Configuration to create.
', 'DeleteStudioLifecycleConfigRequest$StudioLifecycleConfigName' => 'The name of the Amazon SageMaker AI Studio Lifecycle Configuration to delete.
', 'DescribeStudioLifecycleConfigRequest$StudioLifecycleConfigName' => 'The name of the Amazon SageMaker AI Studio Lifecycle Configuration to describe.
', 'DescribeStudioLifecycleConfigResponse$StudioLifecycleConfigName' => 'The name of the Amazon SageMaker AI Studio Lifecycle Configuration that is described.
', 'ListStudioLifecycleConfigsRequest$NameContains' => 'A string in the Lifecycle Configuration name. This filter returns only Lifecycle Configurations whose name contains the specified string.
', 'StudioLifecycleConfigDetails$StudioLifecycleConfigName' => 'The name of the Amazon SageMaker AI Studio Lifecycle Configuration.
', ], ], 'StudioLifecycleConfigSortKey' => [ 'base' => NULL, 'refs' => [ 'ListStudioLifecycleConfigsRequest$SortBy' => 'The property used to sort results. The default value is CreationTime.
', ], ], 'StudioLifecycleConfigsList' => [ 'base' => NULL, 'refs' => [ 'ListStudioLifecycleConfigsResponse$StudioLifecycleConfigs' => 'A list of Lifecycle Configurations and their properties.
', ], ], 'StudioWebPortal' => [ 'base' => NULL, 'refs' => [ 'UserSettings$StudioWebPortal' => 'Whether the user can access Studio. If this value is set to DISABLED, the user cannot access Studio, even if that is the default experience for the domain.
Studio settings. If these settings are applied on a user level, they take priority over the settings applied on a domain level.
', 'refs' => [ 'UserSettings$StudioWebPortalSettings' => 'Studio settings. If these settings are applied on a user level, they take priority over the settings applied on a domain level.
', ], ], 'SubnetId' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceInput$SubnetId' => 'The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.
', 'DescribeNotebookInstanceOutput$SubnetId' => 'The ID of the VPC subnet.
', 'Subnets$member' => NULL, ], ], 'Subnets' => [ 'base' => NULL, 'refs' => [ 'CreateDomainRequest$SubnetIds' => 'The VPC subnets that the domain uses for communication.
', 'DescribeDomainResponse$SubnetIds' => 'The VPC subnets that the domain uses for communication.
', 'UpdateDomainRequest$SubnetIds' => 'The VPC subnets that Studio uses for communication.
If removing subnets, ensure there are no apps in the InService, Pending, or Deleting state.
The ID of the subnets in the VPC to which you want to connect your training job or model. For information about the availability of specific instance types, see Supported Instance Types and Availability Zones.
', ], ], 'SubscribedWorkteam' => [ 'base' => 'Describes a work team of a vendor that does the labelling job.
', 'refs' => [ 'DescribeSubscribedWorkteamResponse$SubscribedWorkteam' => 'A Workteam instance that contains information about the work team.
An array of Workteam objects, each describing a work team.
Returns true if the work team was successfully deleted; otherwise, returns false.
Specified in the GetSearchSuggestions request. Limits the property names that are included in the response.
', 'refs' => [ 'GetSearchSuggestionsRequest$SuggestionQuery' => 'Limits the property names that are included in the response.
', ], ], 'TableFormat' => [ 'base' => NULL, 'refs' => [ 'OfflineStoreConfig$TableFormat' => 'Format for the offline store table. Supported formats are Glue (Default) and Apache Iceberg.
', ], ], 'TableName' => [ 'base' => NULL, 'refs' => [ 'DataCatalogConfig$TableName' => 'The name of the Glue table.
', ], ], 'TabularJobConfig' => [ 'base' => 'The collection of settings used by an AutoML job V2 for the tabular problem type.
', 'refs' => [ 'AutoMLProblemTypeConfig$TabularJobConfig' => 'Settings used to configure an AutoML job V2 for the tabular problem type (regression, classification).
', ], ], 'TabularResolvedAttributes' => [ 'base' => 'The resolved attributes specific to the tabular problem type.
', 'refs' => [ 'AutoMLProblemTypeResolvedAttributes$TabularResolvedAttributes' => 'The resolved attributes for the tabular problem type.
', ], ], 'Tag' => [ 'base' => 'A tag object that consists of a key and an optional value, used to manage metadata for SageMaker Amazon Web Services resources.
You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints. For more information on adding tags to SageMaker resources, see AddTags.
For more information on adding metadata to your Amazon Web Services resources with tagging, see Tagging Amazon Web Services resources. For advice on best practices for managing Amazon Web Services resources with tagging, see Tagging Best Practices: Implement an Effective Amazon Web Services Resource Tagging Strategy.
', 'refs' => [ 'TagList$member' => NULL, ], ], 'TagKey' => [ 'base' => NULL, 'refs' => [ 'Tag$Key' => 'The tag key. Tag keys must be unique per resource.
', 'TagKeyList$member' => NULL, ], ], 'TagKeyList' => [ 'base' => NULL, 'refs' => [ 'DeleteTagsInput$TagKeys' => 'An array or one or more tag keys to delete.
', ], ], 'TagList' => [ 'base' => NULL, 'refs' => [ 'AddTagsInput$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'AddTagsOutput$Tags' => 'A list of tags associated with the SageMaker resource.
', 'CreateActionRequest$Tags' => 'A list of tags to apply to the action.
', 'CreateAlgorithmInput$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'CreateAppImageConfigRequest$Tags' => 'A list of tags to apply to the AppImageConfig.
', 'CreateAppRequest$Tags' => 'Each tag consists of a key and an optional value. Tag keys must be unique per resource.
', 'CreateArtifactRequest$Tags' => 'A list of tags to apply to the artifact.
', 'CreateAutoMLJobRequest$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web ServicesResources. Tag keys must be unique per resource.
', 'CreateAutoMLJobV2Request$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, such as by purpose, owner, or environment. For more information, see Tagging Amazon Web ServicesResources. Tag keys must be unique per resource.
', 'CreateClusterRequest$Tags' => 'Custom tags for managing the SageMaker HyperPod cluster as an Amazon Web Services resource. You can add tags to your cluster in the same way you add them in other Amazon Web Services services that support tagging. To learn more about tagging Amazon Web Services resources in general, see Tagging Amazon Web Services Resources User Guide.
', 'CreateClusterSchedulerConfigRequest$Tags' => 'Tags of the cluster policy.
', 'CreateCodeRepositoryInput$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'CreateCompilationJobRequest$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'CreateComputeQuotaRequest$Tags' => 'Tags of the compute allocation definition.
', 'CreateContextRequest$Tags' => 'A list of tags to apply to the context.
', 'CreateDataQualityJobDefinitionRequest$Tags' => '(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'CreateDeviceFleetRequest$Tags' => 'Creates tags for the specified fleet.
', 'CreateDomainRequest$Tags' => 'Tags to associated with the Domain. Each tag consists of a key and an optional value. Tag keys must be unique per resource. Tags are searchable using the Search API.
Tags that you specify for the Domain are also added to all Apps that the Domain launches.
', 'CreateEdgeDeploymentPlanRequest$Tags' => 'List of tags with which to tag the edge deployment plan.
', 'CreateEdgePackagingJobRequest$Tags' => 'Creates tags for the packaging job.
', 'CreateEndpointConfigInput$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'CreateEndpointInput$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'CreateExperimentRequest$Tags' => 'A list of tags to associate with the experiment. You can use Search API to search on the tags.
', 'CreateFeatureGroupRequest$Tags' => 'Tags used to identify Features in each FeatureGroup.
An array of key-value pairs that contain metadata to help you categorize and organize a flow definition. Each tag consists of a key and a value, both of which you define.
', 'CreateHubContentReferenceRequest$Tags' => 'Any tags associated with the hub content to reference.
', 'CreateHubRequest$Tags' => 'Any tags to associate with the hub.
', 'CreateHumanTaskUiRequest$Tags' => 'An array of key-value pairs that contain metadata to help you categorize and organize a human review workflow user interface. Each tag consists of a key and a value, both of which you define.
', 'CreateHyperParameterTuningJobRequest$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
Tags that you specify for the tuning job are also added to all training jobs that the tuning job launches.
', 'CreateImageRequest$Tags' => 'A list of tags to apply to the image.
', 'CreateInferenceComponentInput$Tags' => 'A list of key-value pairs associated with the model. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference.
', 'CreateInferenceExperimentRequest$Tags' => 'Array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging your Amazon Web Services Resources.
', 'CreateInferenceRecommendationsJobRequest$Tags' => 'The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.
', 'CreateLabelingJobRequest$Tags' => 'An array of key/value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'CreateMlflowTrackingServerRequest$Tags' => 'Tags consisting of key-value pairs used to manage metadata for the tracking server.
', 'CreateModelBiasJobDefinitionRequest$Tags' => '(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'CreateModelCardRequest$Tags' => 'Key-value pairs used to manage metadata for model cards.
', 'CreateModelExplainabilityJobDefinitionRequest$Tags' => '(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'CreateModelInput$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'CreateModelPackageGroupInput$Tags' => 'A list of key value pairs associated with the model group. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
', 'CreateModelPackageInput$Tags' => 'A list of key value pairs associated with the model. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
If you supply ModelPackageGroupName, your model package belongs to the model group you specify and uses the tags associated with the model group. In this case, you cannot supply a tag argument.
(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'CreateMonitoringScheduleRequest$Tags' => '(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'CreateNotebookInstanceInput$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'CreateOptimizationJobRequest$Tags' => 'A list of key-value pairs associated with the optimization job. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
', 'CreatePartnerAppRequest$Tags' => 'Each tag consists of a key and an optional value. Tag keys must be unique per resource.
', 'CreatePipelineRequest$Tags' => 'A list of tags to apply to the created pipeline.
', 'CreateProcessingJobRequest$Tags' => '(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'CreateProjectInput$Tags' => 'An array of key-value pairs that you want to use to organize and track your Amazon Web Services resource costs. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
', 'CreateSpaceRequest$Tags' => 'Tags to associated with the space. Each tag consists of a key and an optional value. Tag keys must be unique for each resource. Tags are searchable using the Search API.
Tags to be associated with the Lifecycle Configuration. Each tag consists of a key and an optional value. Tag keys must be unique per resource. Tags are searchable using the Search API.
', 'CreateTrainingJobRequest$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'CreateTrainingPlanRequest$Tags' => 'An array of key-value pairs to apply to this training plan.
', 'CreateTransformJobRequest$Tags' => '(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'CreateTrialComponentRequest$Tags' => 'A list of tags to associate with the component. You can use Search API to search on the tags.
', 'CreateTrialRequest$Tags' => 'A list of tags to associate with the trial. You can use Search API to search on the tags.
', 'CreateUserProfileRequest$Tags' => 'Each tag consists of a key and an optional value. Tag keys must be unique per resource.
Tags that you specify for the User Profile are also added to all Apps that the User Profile launches.
', 'CreateWorkforceRequest$Tags' => 'An array of key-value pairs that contain metadata to help you categorize and organize our workforce. Each tag consists of a key and a value, both of which you define.
', 'CreateWorkteamRequest$Tags' => 'An array of key-value pairs.
For more information, see Resource Tag and Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'DescribeLabelingJobResponse$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'Endpoint$Tags' => 'A list of the tags associated with the endpoint. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
', 'Experiment$Tags' => 'The list of tags that are associated with the experiment. You can use Search API to search on the tags.
', 'FeatureGroup$Tags' => 'Tags used to define a FeatureGroup.
The tags associated with a hyperparameter tuning job. For more information see Tagging Amazon Web Services resources.
', 'ImportHubContentRequest$Tags' => 'Any tags associated with the hub content.
', 'ListTagsOutput$Tags' => 'An array of Tag objects, each with a tag key and a value.
A list of key-value pairs associated with the model. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
', 'ModelCard$Tags' => 'Key-value pairs used to manage metadata for the model card.
', 'ModelDashboardModelCard$Tags' => 'The tags associated with a model card.
', 'ModelPackage$Tags' => 'A list of the tags associated with the model package. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
', 'ModelPackageGroup$Tags' => 'A list of the tags associated with the model group. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
', 'MonitoringSchedule$Tags' => 'A list of the tags associated with the monitoring schedlue. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
', 'Pipeline$Tags' => 'A list of tags that apply to the pipeline.
', 'ProcessingJob$Tags' => 'An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'Project$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'RegisterDevicesRequest$Tags' => 'The tags associated with devices.
', 'TrainingJob$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'TransformJob$Tags' => 'A list of tags associated with the transform job.
', 'Trial$Tags' => 'The list of tags that are associated with the trial. You can use Search API to search on the tags.
', 'TrialComponent$Tags' => 'The list of tags that are associated with the component. You can use Search API to search on the tags.
', 'UpdatePartnerAppRequest$Tags' => 'Each tag consists of a key and an optional value. Tag keys must be unique per resource.
', 'UpdateProjectInput$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources. In addition, the project must have tag update constraints set in order to include this parameter in the request. For more information, see Amazon Web Services Service Catalog Tag Update Constraints.
', ], ], 'TagPropagation' => [ 'base' => NULL, 'refs' => [ 'CreateDomainRequest$TagPropagation' => 'Indicates whether custom tag propagation is supported for the domain. Defaults to DISABLED.
Indicates whether custom tag propagation is supported for the domain.
', 'UpdateDomainRequest$TagPropagation' => 'Indicates whether custom tag propagation is supported for the domain. Defaults to DISABLED.
The tag value.
', ], ], 'TargetAttributeName' => [ 'base' => NULL, 'refs' => [ 'AutoMLChannel$TargetAttributeName' => 'The name of the target variable in supervised learning, usually represented by \'y\'.
', 'TabularJobConfig$TargetAttributeName' => 'The name of the target variable in supervised learning, usually represented by \'y\'.
', 'TimeSeriesConfig$TargetAttributeName' => 'The name of the column representing the target variable that you want to predict for each item in your dataset. The data type of the target variable must be numerical.
', ], ], 'TargetDevice' => [ 'base' => NULL, 'refs' => [ 'CompilationJobSummary$CompilationTargetDevice' => 'The type of device that the model will run on after the compilation job has completed.
', 'OutputConfig$TargetDevice' => 'Identifies the target device or the machine learning instance that you want to run your model on after the compilation has completed. Alternatively, you can specify OS, architecture, and accelerator using TargetPlatform fields. It can be used instead of TargetPlatform.
Currently ml_trn1 is available only in US East (N. Virginia) Region, and ml_inf2 is available only in US East (Ohio) Region.
The name of the column used to provide the class labels. It should not be same as the content column.
', ], ], 'TargetObjectiveMetricValue' => [ 'base' => NULL, 'refs' => [ 'TuningJobCompletionCriteria$TargetObjectiveMetricValue' => 'The value of the objective metric.
', ], ], 'TargetPlatform' => [ 'base' => 'Contains information about a target platform that you want your model to run on, such as OS, architecture, and accelerators. It is an alternative of TargetDevice.
Contains information about a target platform that you want your model to run on, such as OS, architecture, and accelerators. It is an alternative of TargetDevice.
The following examples show how to configure the TargetPlatform and CompilerOptions JSON strings for popular target platforms:
Raspberry Pi 3 Model B+
"TargetPlatform": {"Os": "LINUX", "Arch": "ARM_EABIHF"},
"CompilerOptions": {\'mattr\': [\'+neon\']}
Jetson TX2
"TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "NVIDIA"},
"CompilerOptions": {\'gpu-code\': \'sm_62\', \'trt-ver\': \'6.0.1\', \'cuda-ver\': \'10.0\'}
EC2 m5.2xlarge instance OS
"TargetPlatform": {"Os": "LINUX", "Arch": "X86_64", "Accelerator": "NVIDIA"},
"CompilerOptions": {\'mcpu\': \'skylake-avx512\'}
RK3399
"TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "MALI"}
ARMv7 phone (CPU)
"TargetPlatform": {"Os": "ANDROID", "Arch": "ARM_EABI"},
"CompilerOptions": {\'ANDROID_PLATFORM\': 25, \'mattr\': [\'+neon\']}
ARMv8 phone (CPU)
"TargetPlatform": {"Os": "ANDROID", "Arch": "ARM64"},
"CompilerOptions": {\'ANDROID_PLATFORM\': 29}
The type of accelerator that the model will run on after the compilation job has completed.
', 'TargetPlatform$Accelerator' => 'Specifies a target platform accelerator (optional).
NVIDIA: Nvidia graphics processing unit. It also requires gpu-code, trt-ver, cuda-ver compiler options
MALI: ARM Mali graphics processor
INTEL_GRAPHICS: Integrated Intel graphics
The type of architecture that the model will run on after the compilation job has completed.
', 'TargetPlatform$Arch' => 'Specifies a target platform architecture.
X86_64: 64-bit version of the x86 instruction set.
X86: 32-bit version of the x86 instruction set.
ARM64: ARMv8 64-bit CPU.
ARM_EABIHF: ARMv7 32-bit, Hard Float.
ARM_EABI: ARMv7 32-bit, Soft Float. Used by Android 32-bit ARM platform.
The type of OS that the model will run on after the compilation job has completed.
', 'TargetPlatform$Os' => 'Specifies a target platform OS.
LINUX: Linux-based operating systems.
ANDROID: Android operating systems. Android API level can be specified using the ANDROID_PLATFORM compiler option. For example, "CompilerOptions": {\'ANDROID_PLATFORM\': 28}
A target tracking scaling policy. Includes support for predefined or customized metrics.
When using the PutScalingPolicy API, this parameter is required when you are creating a policy with the policy type TargetTrackingScaling.
A target tracking scaling policy. Includes support for predefined or customized metrics.
', ], ], 'TaskAvailabilityLifetimeInSeconds' => [ 'base' => NULL, 'refs' => [ 'HumanTaskConfig$TaskAvailabilityLifetimeInSeconds' => 'The length of time that a task remains available for labeling by human workers. The default and maximum values for this parameter depend on the type of workforce you use.
If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).
If you choose a private or vendor workforce, the default value is 30 days (2592,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.
The variant\'s capacity.
', 'PendingProductionVariantSummary$CurrentInstanceCount' => 'The number of instances associated with the variant.
', 'PendingProductionVariantSummary$DesiredInstanceCount' => 'The number of instances requested in this deployment, as specified in the endpoint configuration for the endpoint. The value is taken from the request to the CreateEndpointConfig operation.
', 'ProductionVariantSummary$CurrentInstanceCount' => 'The number of instances associated with the variant.
', 'ProductionVariantSummary$DesiredInstanceCount' => 'The number of instances requested in the UpdateEndpointWeightsAndCapacities request.
The number of instances of the type specified by InstanceType.
A description of the task for your human workers.
', ], ], 'TaskInput' => [ 'base' => NULL, 'refs' => [ 'RenderableTask$Input' => 'A JSON object that contains values for the variables defined in the template. It is made available to the template under the substitution variable task.input. For example, if you define a variable task.input.text in your template, you can supply the variable in the JSON object as "text": "sample text".
Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
', ], ], 'TaskTimeLimitInSeconds' => [ 'base' => NULL, 'refs' => [ 'HumanTaskConfig$TaskTimeLimitInSeconds' => 'The amount of time that a worker has to complete a task.
If you create a custom labeling job, the maximum value for this parameter is 8 hours (28,800 seconds).
If you create a labeling job using a built-in task type the maximum for this parameter depends on the task type you use:
For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).
For 3D point cloud and video frame labeling jobs, the maximum is 30 days (2952,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.
A title for the task for your human workers.
', ], ], 'TemplateContent' => [ 'base' => NULL, 'refs' => [ 'UiTemplate$Content' => 'The content of the Liquid template for the worker user interface.
', ], ], 'TemplateContentSha256' => [ 'base' => NULL, 'refs' => [ 'UiTemplateInfo$ContentSha256' => 'The SHA-256 digest of the contents of the template.
', ], ], 'TemplateUrl' => [ 'base' => NULL, 'refs' => [ 'UiTemplateInfo$Url' => 'The URL for the user interface template.
', ], ], 'TensorBoardAppSettings' => [ 'base' => 'The TensorBoard app settings.
', 'refs' => [ 'UserSettings$TensorBoardAppSettings' => 'The TensorBoard app settings.
', ], ], 'TensorBoardOutputConfig' => [ 'base' => 'Configuration of storage locations for the Amazon SageMaker Debugger TensorBoard output data.
', 'refs' => [ 'CreateTrainingJobRequest$TensorBoardOutputConfig' => NULL, 'DescribeTrainingJobResponse$TensorBoardOutputConfig' => NULL, 'TrainingJob$TensorBoardOutputConfig' => NULL, ], ], 'TenthFractionsOfACent' => [ 'base' => NULL, 'refs' => [ 'USD$TenthFractionsOfACent' => 'Fractions of a cent, in tenths.
', ], ], 'TerminationWaitInSeconds' => [ 'base' => NULL, 'refs' => [ 'BlueGreenUpdatePolicy$TerminationWaitInSeconds' => 'Additional waiting time in seconds after the completion of an endpoint deployment before terminating the old endpoint fleet. Default is 0.
', ], ], 'TextClassificationJobConfig' => [ 'base' => 'The collection of settings used by an AutoML job V2 for the text classification problem type.
', 'refs' => [ 'AutoMLProblemTypeConfig$TextClassificationJobConfig' => 'Settings used to configure an AutoML job V2 for the text classification problem type.
', ], ], 'TextGenerationHyperParameterKey' => [ 'base' => NULL, 'refs' => [ 'TextGenerationHyperParameters$key' => NULL, ], ], 'TextGenerationHyperParameterValue' => [ 'base' => NULL, 'refs' => [ 'TextGenerationHyperParameters$value' => NULL, ], ], 'TextGenerationHyperParameters' => [ 'base' => NULL, 'refs' => [ 'TextGenerationJobConfig$TextGenerationHyperParameters' => 'The hyperparameters used to configure and optimize the learning process of the base model. You can set any combination of the following hyperparameters for all base models. For more information on each supported hyperparameter, see Optimize the learning process of your text generation models with hyperparameters.
"epochCount": The number of times the model goes through the entire training dataset. Its value should be a string containing an integer value within the range of "1" to "10".
"batchSize": The number of data samples used in each iteration of training. Its value should be a string containing an integer value within the range of "1" to "64".
"learningRate": The step size at which a model\'s parameters are updated during training. Its value should be a string containing a floating-point value within the range of "0" to "1".
"learningRateWarmupSteps": The number of training steps during which the learning rate gradually increases before reaching its target or maximum value. Its value should be a string containing an integer value within the range of "0" to "250".
Here is an example where all four hyperparameters are configured.
{ "epochCount":"5", "learningRate":"0.5", "batchSize": "32", "learningRateWarmupSteps": "10" }
The collection of settings used by an AutoML job V2 for the text generation problem type.
The text generation models that support fine-tuning in Autopilot are currently accessible exclusively in regions supported by Canvas. Refer to the documentation of Canvas for the full list of its supported Regions.
Settings used to configure an AutoML job V2 for the text generation (LLMs fine-tuning) problem type.
The text generation models that support fine-tuning in Autopilot are currently accessible exclusively in regions supported by Canvas. Refer to the documentation of Canvas for the full list of its supported Regions.
The resolved attributes specific to the text generation problem type.
', 'refs' => [ 'AutoMLProblemTypeResolvedAttributes$TextGenerationResolvedAttributes' => 'The resolved attributes for the text generation problem type.
', ], ], 'ThingName' => [ 'base' => NULL, 'refs' => [ 'DescribeDeviceResponse$IotThingName' => 'The Amazon Web Services Internet of Things (IoT) object thing name associated with the device.
', 'Device$IotThingName' => 'Amazon Web Services Internet of Things (IoT) object name.
', 'DeviceSummary$IotThingName' => 'The Amazon Web Services Internet of Things (IoT) object thing name associated with the device..
', ], ], 'ThroughputConfig' => [ 'base' => 'Used to set feature group throughput configuration. There are two modes: ON_DEMAND and PROVISIONED. With on-demand mode, you are charged for data reads and writes that your application performs on your feature group. You do not need to specify read and write throughput because Feature Store accommodates your workloads as they ramp up and down. You can switch a feature group to on-demand only once in a 24 hour period. With provisioned throughput mode, you specify the read and write capacity per second that you expect your application to require, and you are billed based on those limits. Exceeding provisioned throughput will result in your requests being throttled.
Note: PROVISIONED throughput mode is supported only for feature groups that are offline-only, or use the Standard tier online store.
Active throughput configuration of the feature group. There are two modes: ON_DEMAND and PROVISIONED. With on-demand mode, you are charged for data reads and writes that your application performs on your feature group. You do not need to specify read and write throughput because Feature Store accommodates your workloads as they ramp up and down. You can switch a feature group to on-demand only once in a 24 hour period. With provisioned throughput mode, you specify the read and write capacity per second that you expect your application to require, and you are billed based on those limits. Exceeding provisioned throughput will result in your requests being throttled.
Note: PROVISIONED throughput mode is supported only for feature groups that are offline-only, or use the Standard tier online store.
The new throughput configuration for the feature group. You can switch between on-demand and provisioned modes or update the read / write capacity of provisioned feature groups. You can switch a feature group to on-demand only once in a 24 hour period.
', 'refs' => [ 'UpdateFeatureGroupRequest$ThroughputConfig' => NULL, ], ], 'ThroughputMode' => [ 'base' => NULL, 'refs' => [ 'ThroughputConfig$ThroughputMode' => 'The mode used for your feature group throughput: ON_DEMAND or PROVISIONED.
The mode used for your feature group throughput: ON_DEMAND or PROVISIONED.
Target throughput mode of the feature group. Throughput update is an asynchronous operation, and the outcome should be monitored by polling LastUpdateStatus field in DescribeFeatureGroup response. You cannot update a feature group\'s throughput while another update is in progress.
The collection of components that defines the time-series.
', 'refs' => [ 'TimeSeriesForecastingJobConfig$TimeSeriesConfig' => 'The collection of components that defines the time-series.
', ], ], 'TimeSeriesForecastingJobConfig' => [ 'base' => 'The collection of settings used by an AutoML job V2 for the time-series forecasting problem type.
', 'refs' => [ 'AutoMLProblemTypeConfig$TimeSeriesForecastingJobConfig' => 'Settings used to configure an AutoML job V2 for the time-series forecasting problem type.
', ], ], 'TimeSeriesForecastingSettings' => [ 'base' => 'Time series forecast settings for the SageMaker Canvas application.
', 'refs' => [ 'CanvasAppSettings$TimeSeriesForecastingSettings' => 'Time series forecast settings for the SageMaker Canvas application.
', ], ], 'TimeSeriesTransformations' => [ 'base' => 'Transformations allowed on the dataset. Supported transformations are Filling and Aggregation. Filling specifies how to add values to missing values in the dataset. Aggregation defines how to aggregate data that does not align with forecast frequency.
The transformations modifying specific attributes of the time-series, such as filling strategies for missing values.
', ], ], 'Timestamp' => [ 'base' => NULL, 'refs' => [ 'ActionSummary$CreationTime' => 'When the action was created.
', 'ActionSummary$LastModifiedTime' => 'When the action was last modified.
', 'AppImageConfigDetails$CreationTime' => 'When the AppImageConfig was created.
', 'AppImageConfigDetails$LastModifiedTime' => 'When the AppImageConfig was last modified.
', 'ArtifactSummary$CreationTime' => 'When the artifact was created.
', 'ArtifactSummary$LastModifiedTime' => 'When the artifact was last modified.
', 'AssociationSummary$CreationTime' => 'When the association was created.
', 'AutoMLCandidate$CreationTime' => 'The creation time.
', 'AutoMLCandidate$EndTime' => 'The end time.
', 'AutoMLCandidate$LastModifiedTime' => 'The last modified time.
', 'AutoMLJobSummary$CreationTime' => 'When the AutoML job was created.
', 'AutoMLJobSummary$EndTime' => 'The end time of an AutoML job.
', 'AutoMLJobSummary$LastModifiedTime' => 'When the AutoML job was last modified.
', 'ClusterNodeDetails$LaunchTime' => 'The time when the instance is launched.
', 'ClusterNodeSummary$LaunchTime' => 'The time when the instance is launched.
', 'ClusterSchedulerConfigSummary$CreationTime' => 'Creation time of the cluster policy.
', 'ClusterSchedulerConfigSummary$LastModifiedTime' => 'Last modified time of the cluster policy.
', 'ClusterSummary$CreationTime' => 'The time when the SageMaker HyperPod cluster is created.
', 'CompilationJobSummary$CompilationStartTime' => 'The time when the model compilation job started.
', 'CompilationJobSummary$CompilationEndTime' => 'The time when the model compilation job completed.
', 'ComputeQuotaSummary$CreationTime' => 'Creation time of the compute allocation definition.
', 'ComputeQuotaSummary$LastModifiedTime' => 'Last modified time of the compute allocation definition.
', 'ContextSummary$CreationTime' => 'When the context was created.
', 'ContextSummary$LastModifiedTime' => 'When the context was last modified.
', 'CreateTrialComponentRequest$StartTime' => 'When the component started.
', 'CreateTrialComponentRequest$EndTime' => 'When the component ended.
', 'DebugRuleEvaluationStatus$LastModifiedTime' => 'Timestamp when the rule evaluation status was last modified.
', 'DeployedImage$ResolutionTime' => 'The date and time when the image path for the model resolved to the ResolvedImage
When the action was created.
', 'DescribeActionResponse$LastModifiedTime' => 'When the action was last modified.
', 'DescribeAppImageConfigResponse$CreationTime' => 'When the AppImageConfig was created.
', 'DescribeAppImageConfigResponse$LastModifiedTime' => 'When the AppImageConfig was last modified.
', 'DescribeAppResponse$LastHealthCheckTimestamp' => 'The timestamp of the last health check.
', 'DescribeAppResponse$LastUserActivityTimestamp' => 'The timestamp of the last user\'s activity. LastUserActivityTimestamp is also updated when SageMaker AI performs health checks without user activity. As a result, this value is set to the same value as LastHealthCheckTimestamp.
The creation time of the application.
After an application has been shut down for 24 hours, SageMaker AI deletes all metadata for the application. To be considered an update and retain application metadata, applications must be restarted within 24 hours after the previous application has been shut down. After this time window, creation of an application is considered a new application rather than an update of the previous application.
When the artifact was created.
', 'DescribeArtifactResponse$LastModifiedTime' => 'When the artifact was last modified.
', 'DescribeAutoMLJobResponse$CreationTime' => 'Returns the creation time of the AutoML job.
', 'DescribeAutoMLJobResponse$EndTime' => 'Returns the end time of the AutoML job.
', 'DescribeAutoMLJobResponse$LastModifiedTime' => 'Returns the job\'s last modified time.
', 'DescribeAutoMLJobV2Response$CreationTime' => 'Returns the creation time of the AutoML job V2.
', 'DescribeAutoMLJobV2Response$EndTime' => 'Returns the end time of the AutoML job V2.
', 'DescribeAutoMLJobV2Response$LastModifiedTime' => 'Returns the job\'s last modified time.
', 'DescribeClusterResponse$CreationTime' => 'The time when the SageMaker Cluster is created.
', 'DescribeClusterSchedulerConfigResponse$CreationTime' => 'Creation time of the cluster policy.
', 'DescribeClusterSchedulerConfigResponse$LastModifiedTime' => 'Last modified time of the cluster policy.
', 'DescribeCompilationJobResponse$CompilationStartTime' => 'The time when the model compilation job started the CompilationJob instances.
You are billed for the time between this timestamp and the timestamp in the CompilationEndTime field. In Amazon CloudWatch Logs, the start time might be later than this time. That\'s because it takes time to download the compilation job, which depends on the size of the compilation job container.
The time when the model compilation job on a compilation job instance ended. For a successful or stopped job, this is when the job\'s model artifacts have finished uploading. For a failed job, this is when Amazon SageMaker AI detected that the job failed.
', 'DescribeComputeQuotaResponse$CreationTime' => 'Creation time of the compute allocation configuration.
', 'DescribeComputeQuotaResponse$LastModifiedTime' => 'Last modified time of the compute allocation configuration.
', 'DescribeContextResponse$CreationTime' => 'When the context was created.
', 'DescribeContextResponse$LastModifiedTime' => 'When the context was last modified.
', 'DescribeDataQualityJobDefinitionResponse$CreationTime' => 'The time that the data quality monitoring job definition was created.
', 'DescribeDeviceFleetResponse$CreationTime' => 'Timestamp of when the device fleet was created.
', 'DescribeDeviceFleetResponse$LastModifiedTime' => 'Timestamp of when the device fleet was last updated.
', 'DescribeDeviceResponse$RegistrationTime' => 'The timestamp of the last registration or de-reregistration.
', 'DescribeDeviceResponse$LatestHeartbeat' => 'The last heartbeat received from the device.
', 'DescribeEdgeDeploymentPlanResponse$CreationTime' => 'The time when the edge deployment plan was created.
', 'DescribeEdgeDeploymentPlanResponse$LastModifiedTime' => 'The time when the edge deployment plan was last updated.
', 'DescribeEdgePackagingJobResponse$CreationTime' => 'The timestamp of when the packaging job was created.
', 'DescribeEdgePackagingJobResponse$LastModifiedTime' => 'The timestamp of when the job was last updated.
', 'DescribeEndpointConfigOutput$CreationTime' => 'A timestamp that shows when the endpoint configuration was created.
', 'DescribeEndpointOutput$CreationTime' => 'A timestamp that shows when the endpoint was created.
', 'DescribeEndpointOutput$LastModifiedTime' => 'A timestamp that shows when the endpoint was last modified.
', 'DescribeExperimentResponse$CreationTime' => 'When the experiment was created.
', 'DescribeExperimentResponse$LastModifiedTime' => 'When the experiment was last modified.
', 'DescribeFlowDefinitionResponse$CreationTime' => 'The timestamp when the flow definition was created.
', 'DescribeHubContentResponse$CreationTime' => 'The date and time that hub content was created.
', 'DescribeHubResponse$CreationTime' => 'The date and time that the hub was created.
', 'DescribeHubResponse$LastModifiedTime' => 'The date and time that the hub was last modified.
', 'DescribeHumanTaskUiResponse$CreationTime' => 'The timestamp when the human task user interface was created.
', 'DescribeHyperParameterTuningJobResponse$CreationTime' => 'The date and time that the tuning job started.
', 'DescribeHyperParameterTuningJobResponse$HyperParameterTuningEndTime' => 'The date and time that the tuning job ended.
', 'DescribeHyperParameterTuningJobResponse$LastModifiedTime' => 'The date and time that the status of the tuning job was modified.
', 'DescribeImageResponse$CreationTime' => 'When the image was created.
', 'DescribeImageResponse$LastModifiedTime' => 'When the image was last modified.
', 'DescribeImageVersionResponse$CreationTime' => 'When the version was created.
', 'DescribeImageVersionResponse$LastModifiedTime' => 'When the version was last modified.
', 'DescribeInferenceComponentOutput$CreationTime' => 'The time when the inference component was created.
', 'DescribeInferenceComponentOutput$LastModifiedTime' => 'The time when the inference component was last updated.
', 'DescribeInferenceExperimentResponse$CreationTime' => 'The timestamp at which you created the inference experiment.
', 'DescribeInferenceExperimentResponse$CompletionTime' => 'The timestamp at which the inference experiment was completed.
', 'DescribeInferenceExperimentResponse$LastModifiedTime' => 'The timestamp at which you last modified the inference experiment.
', 'DescribeInferenceRecommendationsJobResponse$CompletionTime' => 'A timestamp that shows when the job completed.
', 'DescribeLabelingJobResponse$CreationTime' => 'The date and time that the labeling job was created.
', 'DescribeLabelingJobResponse$LastModifiedTime' => 'The date and time that the labeling job was last updated.
', 'DescribeLineageGroupResponse$CreationTime' => 'The creation time of lineage group.
', 'DescribeLineageGroupResponse$LastModifiedTime' => 'The last modified time of the lineage group.
', 'DescribeMlflowTrackingServerResponse$CreationTime' => 'The timestamp of when the described MLflow Tracking Server was created.
', 'DescribeMlflowTrackingServerResponse$LastModifiedTime' => 'The timestamp of when the described MLflow Tracking Server was last modified.
', 'DescribeModelBiasJobDefinitionResponse$CreationTime' => 'The time at which the model bias job was created.
', 'DescribeModelCardExportJobResponse$CreatedAt' => 'The date and time that the model export job was created.
', 'DescribeModelCardExportJobResponse$LastModifiedAt' => 'The date and time that the model export job was last modified.
', 'DescribeModelCardResponse$CreationTime' => 'The date and time the model card was created.
', 'DescribeModelCardResponse$LastModifiedTime' => 'The date and time the model card was last modified.
', 'DescribeModelExplainabilityJobDefinitionResponse$CreationTime' => 'The time at which the model explainability job was created.
', 'DescribeModelOutput$CreationTime' => 'A timestamp that shows when the model was created.
', 'DescribeModelPackageOutput$LastModifiedTime' => 'The last time that the model package was modified.
', 'DescribeModelQualityJobDefinitionResponse$CreationTime' => 'The time at which the model quality job was created.
', 'DescribeMonitoringScheduleResponse$CreationTime' => 'The time at which the monitoring job was created.
', 'DescribeMonitoringScheduleResponse$LastModifiedTime' => 'The time at which the monitoring job was last modified.
', 'DescribeOptimizationJobResponse$OptimizationStartTime' => 'The time when the optimization job started.
', 'DescribeOptimizationJobResponse$OptimizationEndTime' => 'The time when the optimization job finished processing.
', 'DescribePartnerAppResponse$CreationTime' => 'The time that the SageMaker Partner AI App was created.
', 'DescribePipelineDefinitionForExecutionResponse$CreationTime' => 'The time when the pipeline was created.
', 'DescribePipelineExecutionResponse$CreationTime' => 'The time when the pipeline execution was created.
', 'DescribePipelineExecutionResponse$LastModifiedTime' => 'The time when the pipeline execution was modified last.
', 'DescribePipelineResponse$CreationTime' => 'The time when the pipeline was created.
', 'DescribePipelineResponse$LastModifiedTime' => 'The time when the pipeline was last modified.
', 'DescribePipelineResponse$LastRunTime' => 'The time when the pipeline was last run.
', 'DescribeProcessingJobResponse$ProcessingEndTime' => 'The time at which the processing job completed.
', 'DescribeProcessingJobResponse$ProcessingStartTime' => 'The time at which the processing job started.
', 'DescribeProcessingJobResponse$LastModifiedTime' => 'The time at which the processing job was last modified.
', 'DescribeProcessingJobResponse$CreationTime' => 'The time at which the processing job was created.
', 'DescribeProjectOutput$CreationTime' => 'The time when the project was created.
', 'DescribeProjectOutput$LastModifiedTime' => 'The timestamp when project was last modified.
', 'DescribeStudioLifecycleConfigResponse$CreationTime' => 'The creation time of the Amazon SageMaker AI Studio Lifecycle Configuration.
', 'DescribeStudioLifecycleConfigResponse$LastModifiedTime' => 'This value is equivalent to CreationTime because Amazon SageMaker AI Studio Lifecycle Configurations are immutable.
', 'DescribeTrainingJobResponse$CreationTime' => 'A timestamp that indicates when the training job was created.
', 'DescribeTrainingJobResponse$TrainingStartTime' => 'Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.
Indicates the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when SageMaker detects a job failure.
A timestamp that indicates when the status of the training job was last modified.
', 'DescribeTrainingPlanResponse$StartTime' => 'The start time of the training plan.
', 'DescribeTrainingPlanResponse$EndTime' => 'The end time of the training plan.
', 'DescribeTransformJobResponse$CreationTime' => 'A timestamp that shows when the transform Job was created.
', 'DescribeTransformJobResponse$TransformStartTime' => 'Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.
Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.
When the component started.
', 'DescribeTrialComponentResponse$EndTime' => 'When the component ended.
', 'DescribeTrialComponentResponse$CreationTime' => 'When the component was created.
', 'DescribeTrialComponentResponse$LastModifiedTime' => 'When the component was last modified.
', 'DescribeTrialResponse$CreationTime' => 'When the trial was created.
', 'DescribeTrialResponse$LastModifiedTime' => 'When the trial was last modified.
', 'DeviceDeploymentSummary$DeploymentStartTime' => 'The time when the deployment on the device started.
', 'DeviceFleetSummary$CreationTime' => 'Timestamp of when the device fleet was created.
', 'DeviceFleetSummary$LastModifiedTime' => 'Timestamp of when the device fleet was last updated.
', 'DeviceSummary$RegistrationTime' => 'The timestamp of the last registration or de-reregistration.
', 'DeviceSummary$LatestHeartbeat' => 'The last heartbeat received from the device.
', 'EdgeDeploymentPlanSummary$CreationTime' => 'The time when the edge deployment plan was created.
', 'EdgeDeploymentPlanSummary$LastModifiedTime' => 'The time when the edge deployment plan was last updated.
', 'EdgeDeploymentStatus$EdgeDeploymentStageStartTime' => 'The time when the deployment API started.
', 'EdgeModel$LatestSampleTime' => 'The timestamp of the last data sample taken.
', 'EdgeModel$LatestInference' => 'The timestamp of the last inference that was made.
', 'EdgePackagingJobSummary$CreationTime' => 'The timestamp of when the job was created.
', 'EdgePackagingJobSummary$LastModifiedTime' => 'The timestamp of when the edge packaging job was last updated.
', 'Endpoint$CreationTime' => 'The time that the endpoint was created.
', 'Endpoint$LastModifiedTime' => 'The last time the endpoint was modified.
', 'EndpointConfigSummary$CreationTime' => 'A timestamp that shows when the endpoint configuration was created.
', 'EndpointSummary$CreationTime' => 'A timestamp that shows when the endpoint was created.
', 'EndpointSummary$LastModifiedTime' => 'A timestamp that shows when the endpoint was last modified.
', 'Experiment$CreationTime' => 'When the experiment was created.
', 'Experiment$LastModifiedTime' => 'When the experiment was last modified.
', 'ExperimentSummary$CreationTime' => 'When the experiment was created.
', 'ExperimentSummary$LastModifiedTime' => 'When the experiment was last modified.
', 'FeatureGroupSummary$CreationTime' => 'A timestamp indicating the time of creation time of the FeatureGroup.
The timestamp when SageMaker created the flow definition.
', 'GetDeviceFleetReportResponse$ReportGenerated' => 'Timestamp of when the report was generated.
', 'HubContentInfo$CreationTime' => 'The date and time that the hub content was created.
', 'HubContentInfo$OriginalCreationTime' => 'The date and time when the hub content was originally created, before any updates or revisions.
', 'HubInfo$CreationTime' => 'The date and time that the hub was created.
', 'HubInfo$LastModifiedTime' => 'The date and time that the hub was last modified.
', 'HumanTaskUiSummary$CreationTime' => 'A timestamp when SageMaker created the human task user interface.
', 'HyperParameterTrainingJobSummary$CreationTime' => 'The date and time that the training job was created.
', 'HyperParameterTrainingJobSummary$TrainingStartTime' => 'The date and time that the training job started.
', 'HyperParameterTrainingJobSummary$TrainingEndTime' => 'Specifies the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when SageMaker detects a job failure.
The time in timestamp format that AMT detected model convergence, as defined by a lack of significant improvement over time based on criteria developed over a wide range of diverse benchmarking tests.
', 'HyperParameterTuningJobSearchEntity$CreationTime' => 'The time that a hyperparameter tuning job was created.
', 'HyperParameterTuningJobSearchEntity$HyperParameterTuningEndTime' => 'The time that a hyperparameter tuning job ended.
', 'HyperParameterTuningJobSearchEntity$LastModifiedTime' => 'The time that a hyperparameter tuning job was last modified.
', 'HyperParameterTuningJobSummary$CreationTime' => 'The date and time that the tuning job was created.
', 'HyperParameterTuningJobSummary$HyperParameterTuningEndTime' => 'The date and time that the tuning job ended.
', 'HyperParameterTuningJobSummary$LastModifiedTime' => 'The date and time that the tuning job was modified.
', 'Image$CreationTime' => 'When the image was created.
', 'Image$LastModifiedTime' => 'When the image was last modified.
', 'ImageVersion$CreationTime' => 'When the version was created.
', 'ImageVersion$LastModifiedTime' => 'When the version was last modified.
', 'InferenceComponentSummary$CreationTime' => 'The time when the inference component was created.
', 'InferenceComponentSummary$LastModifiedTime' => 'The time when the inference component was last updated.
', 'InferenceExperimentSchedule$StartTime' => 'The timestamp at which the inference experiment started or will start.
', 'InferenceExperimentSchedule$EndTime' => 'The timestamp at which the inference experiment ended or will end.
', 'InferenceExperimentSummary$CreationTime' => 'The timestamp at which the inference experiment was created.
', 'InferenceExperimentSummary$CompletionTime' => 'The timestamp at which the inference experiment was completed.
', 'InferenceExperimentSummary$LastModifiedTime' => 'The timestamp when you last modified the inference experiment.
', 'InferenceRecommendationsJob$CompletionTime' => 'A timestamp that shows when the job completed.
', 'LabelingJobForWorkteamSummary$CreationTime' => 'The date and time that the labeling job was created.
', 'LabelingJobSummary$CreationTime' => 'The date and time that the job was created (timestamp).
', 'LabelingJobSummary$LastModifiedTime' => 'The date and time that the job was last modified (timestamp).
', 'LineageGroupSummary$CreationTime' => 'The creation time of the lineage group summary.
', 'LineageGroupSummary$LastModifiedTime' => 'The last modified time of the lineage group summary.
', 'ListActionsRequest$CreatedAfter' => 'A filter that returns only actions created on or after the specified time.
', 'ListActionsRequest$CreatedBefore' => 'A filter that returns only actions created on or before the specified time.
', 'ListAppImageConfigsRequest$CreationTimeBefore' => 'A filter that returns only AppImageConfigs created on or before the specified time.
', 'ListAppImageConfigsRequest$CreationTimeAfter' => 'A filter that returns only AppImageConfigs created on or after the specified time.
', 'ListAppImageConfigsRequest$ModifiedTimeBefore' => 'A filter that returns only AppImageConfigs modified on or before the specified time.
', 'ListAppImageConfigsRequest$ModifiedTimeAfter' => 'A filter that returns only AppImageConfigs modified on or after the specified time.
', 'ListArtifactsRequest$CreatedAfter' => 'A filter that returns only artifacts created on or after the specified time.
', 'ListArtifactsRequest$CreatedBefore' => 'A filter that returns only artifacts created on or before the specified time.
', 'ListAssociationsRequest$CreatedAfter' => 'A filter that returns only associations created on or after the specified time.
', 'ListAssociationsRequest$CreatedBefore' => 'A filter that returns only associations created on or before the specified time.
', 'ListAutoMLJobsRequest$CreationTimeAfter' => 'Request a list of jobs, using a filter for time.
', 'ListAutoMLJobsRequest$CreationTimeBefore' => 'Request a list of jobs, using a filter for time.
', 'ListAutoMLJobsRequest$LastModifiedTimeAfter' => 'Request a list of jobs, using a filter for time.
', 'ListAutoMLJobsRequest$LastModifiedTimeBefore' => 'Request a list of jobs, using a filter for time.
', 'ListClusterNodesRequest$CreationTimeAfter' => 'A filter that returns nodes in a SageMaker HyperPod cluster created after the specified time. Timestamps are formatted according to the ISO 8601 standard.
Acceptable formats include:
YYYY-MM-DDThh:mm:ss.sssTZD (UTC), for example, 2014-10-01T20:30:00.000Z
YYYY-MM-DDThh:mm:ss.sssTZD (with offset), for example, 2014-10-01T12:30:00.000-08:00
YYYY-MM-DD, for example, 2014-10-01
Unix time in seconds, for example, 1412195400. This is also referred to as Unix Epoch time and represents the number of seconds since midnight, January 1, 1970 UTC.
For more information about the timestamp format, see Timestamp in the Amazon Web Services Command Line Interface User Guide.
', 'ListClusterNodesRequest$CreationTimeBefore' => 'A filter that returns nodes in a SageMaker HyperPod cluster created before the specified time. The acceptable formats are the same as the timestamp formats for CreationTimeAfter. For more information about the timestamp format, see Timestamp in the Amazon Web Services Command Line Interface User Guide.
Filter for after this creation time. The input for this parameter is a Unix timestamp. To convert a date and time into a Unix timestamp, see EpochConverter.
', 'ListClusterSchedulerConfigsRequest$CreatedBefore' => 'Filter for before this creation time. The input for this parameter is a Unix timestamp. To convert a date and time into a Unix timestamp, see EpochConverter.
', 'ListClustersRequest$CreationTimeAfter' => 'Set a start time for the time range during which you want to list SageMaker HyperPod clusters. Timestamps are formatted according to the ISO 8601 standard.
Acceptable formats include:
YYYY-MM-DDThh:mm:ss.sssTZD (UTC), for example, 2014-10-01T20:30:00.000Z
YYYY-MM-DDThh:mm:ss.sssTZD (with offset), for example, 2014-10-01T12:30:00.000-08:00
YYYY-MM-DD, for example, 2014-10-01
Unix time in seconds, for example, 1412195400. This is also referred to as Unix Epoch time and represents the number of seconds since midnight, January 1, 1970 UTC.
For more information about the timestamp format, see Timestamp in the Amazon Web Services Command Line Interface User Guide.
', 'ListClustersRequest$CreationTimeBefore' => 'Set an end time for the time range during which you want to list SageMaker HyperPod clusters. A filter that returns nodes in a SageMaker HyperPod cluster created before the specified time. The acceptable formats are the same as the timestamp formats for CreationTimeAfter. For more information about the timestamp format, see Timestamp in the Amazon Web Services Command Line Interface User Guide.
A filter that returns only Git repositories that were last modified after the specified time.
', 'ListCodeRepositoriesInput$LastModifiedTimeBefore' => 'A filter that returns only Git repositories that were last modified before the specified time.
', 'ListComputeQuotasRequest$CreatedAfter' => 'Filter for after this creation time. The input for this parameter is a Unix timestamp. To convert a date and time into a Unix timestamp, see EpochConverter.
', 'ListComputeQuotasRequest$CreatedBefore' => 'Filter for before this creation time. The input for this parameter is a Unix timestamp. To convert a date and time into a Unix timestamp, see EpochConverter.
', 'ListContextsRequest$CreatedAfter' => 'A filter that returns only contexts created on or after the specified time.
', 'ListContextsRequest$CreatedBefore' => 'A filter that returns only contexts created on or before the specified time.
', 'ListDataQualityJobDefinitionsRequest$CreationTimeBefore' => 'A filter that returns only data quality monitoring job definitions created before the specified time.
', 'ListDataQualityJobDefinitionsRequest$CreationTimeAfter' => 'A filter that returns only data quality monitoring job definitions created after the specified time.
', 'ListDeviceFleetsRequest$CreationTimeAfter' => 'Filter fleets where packaging job was created after specified time.
', 'ListDeviceFleetsRequest$CreationTimeBefore' => 'Filter fleets where the edge packaging job was created before specified time.
', 'ListDeviceFleetsRequest$LastModifiedTimeAfter' => 'Select fleets where the job was updated after X
', 'ListDeviceFleetsRequest$LastModifiedTimeBefore' => 'Select fleets where the job was updated before X
', 'ListDevicesRequest$LatestHeartbeatAfter' => 'Select fleets where the job was updated after X
', 'ListEdgeDeploymentPlansRequest$CreationTimeAfter' => 'Selects edge deployment plans created after this time.
', 'ListEdgeDeploymentPlansRequest$CreationTimeBefore' => 'Selects edge deployment plans created before this time.
', 'ListEdgeDeploymentPlansRequest$LastModifiedTimeAfter' => 'Selects edge deployment plans that were last updated after this time.
', 'ListEdgeDeploymentPlansRequest$LastModifiedTimeBefore' => 'Selects edge deployment plans that were last updated before this time.
', 'ListEdgePackagingJobsRequest$CreationTimeAfter' => 'Select jobs where the job was created after specified time.
', 'ListEdgePackagingJobsRequest$CreationTimeBefore' => 'Select jobs where the job was created before specified time.
', 'ListEdgePackagingJobsRequest$LastModifiedTimeAfter' => 'Select jobs where the job was updated after specified time.
', 'ListEdgePackagingJobsRequest$LastModifiedTimeBefore' => 'Select jobs where the job was updated before specified time.
', 'ListEndpointConfigsInput$CreationTimeBefore' => 'A filter that returns only endpoint configurations created before the specified time (timestamp).
', 'ListEndpointConfigsInput$CreationTimeAfter' => 'A filter that returns only endpoint configurations with a creation time greater than or equal to the specified time (timestamp).
', 'ListEndpointsInput$CreationTimeBefore' => 'A filter that returns only endpoints that were created before the specified time (timestamp).
', 'ListEndpointsInput$CreationTimeAfter' => 'A filter that returns only endpoints with a creation time greater than or equal to the specified time (timestamp).
', 'ListEndpointsInput$LastModifiedTimeBefore' => 'A filter that returns only endpoints that were modified before the specified timestamp.
', 'ListEndpointsInput$LastModifiedTimeAfter' => 'A filter that returns only endpoints that were modified after the specified timestamp.
', 'ListExperimentsRequest$CreatedAfter' => 'A filter that returns only experiments created after the specified time.
', 'ListExperimentsRequest$CreatedBefore' => 'A filter that returns only experiments created before the specified time.
', 'ListFlowDefinitionsRequest$CreationTimeAfter' => 'A filter that returns only flow definitions with a creation time greater than or equal to the specified timestamp.
', 'ListFlowDefinitionsRequest$CreationTimeBefore' => 'A filter that returns only flow definitions that were created before the specified timestamp.
', 'ListHubContentVersionsRequest$CreationTimeBefore' => 'Only list hub content versions that were created before the time specified.
', 'ListHubContentVersionsRequest$CreationTimeAfter' => 'Only list hub content versions that were created after the time specified.
', 'ListHubContentsRequest$CreationTimeBefore' => 'Only list hub content that was created before the time specified.
', 'ListHubContentsRequest$CreationTimeAfter' => 'Only list hub content that was created after the time specified.
', 'ListHubsRequest$CreationTimeBefore' => 'Only list hubs that were created before the time specified.
', 'ListHubsRequest$CreationTimeAfter' => 'Only list hubs that were created after the time specified.
', 'ListHubsRequest$LastModifiedTimeBefore' => 'Only list hubs that were last modified before the time specified.
', 'ListHubsRequest$LastModifiedTimeAfter' => 'Only list hubs that were last modified after the time specified.
', 'ListHumanTaskUisRequest$CreationTimeAfter' => 'A filter that returns only human task user interfaces with a creation time greater than or equal to the specified timestamp.
', 'ListHumanTaskUisRequest$CreationTimeBefore' => 'A filter that returns only human task user interfaces that were created before the specified timestamp.
', 'ListHyperParameterTuningJobsRequest$CreationTimeAfter' => 'A filter that returns only tuning jobs that were created after the specified time.
', 'ListHyperParameterTuningJobsRequest$CreationTimeBefore' => 'A filter that returns only tuning jobs that were created before the specified time.
', 'ListHyperParameterTuningJobsRequest$LastModifiedTimeAfter' => 'A filter that returns only tuning jobs that were modified after the specified time.
', 'ListHyperParameterTuningJobsRequest$LastModifiedTimeBefore' => 'A filter that returns only tuning jobs that were modified before the specified time.
', 'ListImageVersionsRequest$CreationTimeAfter' => 'A filter that returns only versions created on or after the specified time.
', 'ListImageVersionsRequest$CreationTimeBefore' => 'A filter that returns only versions created on or before the specified time.
', 'ListImageVersionsRequest$LastModifiedTimeAfter' => 'A filter that returns only versions modified on or after the specified time.
', 'ListImageVersionsRequest$LastModifiedTimeBefore' => 'A filter that returns only versions modified on or before the specified time.
', 'ListImagesRequest$CreationTimeAfter' => 'A filter that returns only images created on or after the specified time.
', 'ListImagesRequest$CreationTimeBefore' => 'A filter that returns only images created on or before the specified time.
', 'ListImagesRequest$LastModifiedTimeAfter' => 'A filter that returns only images modified on or after the specified time.
', 'ListImagesRequest$LastModifiedTimeBefore' => 'A filter that returns only images modified on or before the specified time.
', 'ListInferenceComponentsInput$CreationTimeBefore' => 'Filters the results to only those inference components that were created before the specified time.
', 'ListInferenceComponentsInput$CreationTimeAfter' => 'Filters the results to only those inference components that were created after the specified time.
', 'ListInferenceComponentsInput$LastModifiedTimeBefore' => 'Filters the results to only those inference components that were updated before the specified time.
', 'ListInferenceComponentsInput$LastModifiedTimeAfter' => 'Filters the results to only those inference components that were updated after the specified time.
', 'ListInferenceExperimentsRequest$CreationTimeAfter' => 'Selects inference experiments which were created after this timestamp.
', 'ListInferenceExperimentsRequest$CreationTimeBefore' => 'Selects inference experiments which were created before this timestamp.
', 'ListInferenceExperimentsRequest$LastModifiedTimeAfter' => 'Selects inference experiments which were last modified after this timestamp.
', 'ListInferenceExperimentsRequest$LastModifiedTimeBefore' => 'Selects inference experiments which were last modified before this timestamp.
', 'ListLabelingJobsForWorkteamRequest$CreationTimeAfter' => 'A filter that returns only labeling jobs created after the specified time (timestamp).
', 'ListLabelingJobsForWorkteamRequest$CreationTimeBefore' => 'A filter that returns only labeling jobs created before the specified time (timestamp).
', 'ListLabelingJobsRequest$CreationTimeAfter' => 'A filter that returns only labeling jobs created after the specified time (timestamp).
', 'ListLabelingJobsRequest$CreationTimeBefore' => 'A filter that returns only labeling jobs created before the specified time (timestamp).
', 'ListLabelingJobsRequest$LastModifiedTimeAfter' => 'A filter that returns only labeling jobs modified after the specified time (timestamp).
', 'ListLabelingJobsRequest$LastModifiedTimeBefore' => 'A filter that returns only labeling jobs modified before the specified time (timestamp).
', 'ListLineageGroupsRequest$CreatedAfter' => 'A timestamp to filter against lineage groups created after a certain point in time.
', 'ListLineageGroupsRequest$CreatedBefore' => 'A timestamp to filter against lineage groups created before a certain point in time.
', 'ListMlflowTrackingServersRequest$CreatedAfter' => 'Use the CreatedAfter filter to only list tracking servers created after a specific date and time. Listed tracking servers are shown with a date and time such as "2024-03-16T01:46:56+00:00". The CreatedAfter parameter takes in a Unix timestamp. To convert a date and time into a Unix timestamp, see EpochConverter.
Use the CreatedBefore filter to only list tracking servers created before a specific date and time. Listed tracking servers are shown with a date and time such as "2024-03-16T01:46:56+00:00". The CreatedBefore parameter takes in a Unix timestamp. To convert a date and time into a Unix timestamp, see EpochConverter.
A filter that returns only model bias jobs created before a specified time.
', 'ListModelBiasJobDefinitionsRequest$CreationTimeAfter' => 'A filter that returns only model bias jobs created after a specified time.
', 'ListModelCardExportJobsRequest$CreationTimeAfter' => 'Only list model card export jobs that were created after the time specified.
', 'ListModelCardExportJobsRequest$CreationTimeBefore' => 'Only list model card export jobs that were created before the time specified.
', 'ListModelCardVersionsRequest$CreationTimeAfter' => 'Only list model card versions that were created after the time specified.
', 'ListModelCardVersionsRequest$CreationTimeBefore' => 'Only list model card versions that were created before the time specified.
', 'ListModelCardsRequest$CreationTimeAfter' => 'Only list model cards that were created after the time specified.
', 'ListModelCardsRequest$CreationTimeBefore' => 'Only list model cards that were created before the time specified.
', 'ListModelExplainabilityJobDefinitionsRequest$CreationTimeBefore' => 'A filter that returns only model explainability jobs created before a specified time.
', 'ListModelExplainabilityJobDefinitionsRequest$CreationTimeAfter' => 'A filter that returns only model explainability jobs created after a specified time.
', 'ListModelQualityJobDefinitionsRequest$CreationTimeBefore' => 'A filter that returns only model quality monitoring job definitions created before the specified time.
', 'ListModelQualityJobDefinitionsRequest$CreationTimeAfter' => 'A filter that returns only model quality monitoring job definitions created after the specified time.
', 'ListModelsInput$CreationTimeBefore' => 'A filter that returns only models created before the specified time (timestamp).
', 'ListModelsInput$CreationTimeAfter' => 'A filter that returns only models with a creation time greater than or equal to the specified time (timestamp).
', 'ListMonitoringAlertHistoryRequest$CreationTimeBefore' => 'A filter that returns only alerts created on or before the specified time.
', 'ListMonitoringAlertHistoryRequest$CreationTimeAfter' => 'A filter that returns only alerts created on or after the specified time.
', 'ListMonitoringExecutionsRequest$ScheduledTimeBefore' => 'Filter for jobs scheduled before a specified time.
', 'ListMonitoringExecutionsRequest$ScheduledTimeAfter' => 'Filter for jobs scheduled after a specified time.
', 'ListMonitoringExecutionsRequest$CreationTimeBefore' => 'A filter that returns only jobs created before a specified time.
', 'ListMonitoringExecutionsRequest$CreationTimeAfter' => 'A filter that returns only jobs created after a specified time.
', 'ListMonitoringExecutionsRequest$LastModifiedTimeBefore' => 'A filter that returns only jobs modified after a specified time.
', 'ListMonitoringExecutionsRequest$LastModifiedTimeAfter' => 'A filter that returns only jobs modified before a specified time.
', 'ListMonitoringSchedulesRequest$CreationTimeBefore' => 'A filter that returns only monitoring schedules created before a specified time.
', 'ListMonitoringSchedulesRequest$CreationTimeAfter' => 'A filter that returns only monitoring schedules created after a specified time.
', 'ListMonitoringSchedulesRequest$LastModifiedTimeBefore' => 'A filter that returns only monitoring schedules modified before a specified time.
', 'ListMonitoringSchedulesRequest$LastModifiedTimeAfter' => 'A filter that returns only monitoring schedules modified after a specified time.
', 'ListPipelineExecutionsRequest$CreatedAfter' => 'A filter that returns the pipeline executions that were created after a specified time.
', 'ListPipelineExecutionsRequest$CreatedBefore' => 'A filter that returns the pipeline executions that were created before a specified time.
', 'ListPipelinesRequest$CreatedAfter' => 'A filter that returns the pipelines that were created after a specified time.
', 'ListPipelinesRequest$CreatedBefore' => 'A filter that returns the pipelines that were created before a specified time.
', 'ListProcessingJobsRequest$CreationTimeAfter' => 'A filter that returns only processing jobs created after the specified time.
', 'ListProcessingJobsRequest$CreationTimeBefore' => 'A filter that returns only processing jobs created after the specified time.
', 'ListProcessingJobsRequest$LastModifiedTimeAfter' => 'A filter that returns only processing jobs modified after the specified time.
', 'ListProcessingJobsRequest$LastModifiedTimeBefore' => 'A filter that returns only processing jobs modified before the specified time.
', 'ListProjectsInput$CreationTimeAfter' => 'A filter that returns the projects that were created after a specified time.
', 'ListProjectsInput$CreationTimeBefore' => 'A filter that returns the projects that were created before a specified time.
', 'ListResourceCatalogsRequest$CreationTimeAfter' => ' Use this parameter to search for ResourceCatalogs created after a specific date and time.
Use this parameter to search for ResourceCatalogs created before a specific date and time.
A filter that returns only Lifecycle Configurations created on or before the specified time.
', 'ListStudioLifecycleConfigsRequest$CreationTimeAfter' => 'A filter that returns only Lifecycle Configurations created on or after the specified time.
', 'ListStudioLifecycleConfigsRequest$ModifiedTimeBefore' => 'A filter that returns only Lifecycle Configurations modified before the specified time.
', 'ListStudioLifecycleConfigsRequest$ModifiedTimeAfter' => 'A filter that returns only Lifecycle Configurations modified after the specified time.
', 'ListTrainingJobsRequest$CreationTimeAfter' => 'A filter that returns only training jobs created after the specified time (timestamp).
', 'ListTrainingJobsRequest$CreationTimeBefore' => 'A filter that returns only training jobs created before the specified time (timestamp).
', 'ListTrainingJobsRequest$LastModifiedTimeAfter' => 'A filter that returns only training jobs modified after the specified time (timestamp).
', 'ListTrainingJobsRequest$LastModifiedTimeBefore' => 'A filter that returns only training jobs modified before the specified time (timestamp).
', 'ListTrainingPlansRequest$StartTimeAfter' => 'Filter to list only training plans with an actual start time after this date.
', 'ListTrainingPlansRequest$StartTimeBefore' => 'Filter to list only training plans with an actual start time before this date.
', 'ListTransformJobsRequest$CreationTimeAfter' => 'A filter that returns only transform jobs created after the specified time.
', 'ListTransformJobsRequest$CreationTimeBefore' => 'A filter that returns only transform jobs created before the specified time.
', 'ListTransformJobsRequest$LastModifiedTimeAfter' => 'A filter that returns only transform jobs modified after the specified time.
', 'ListTransformJobsRequest$LastModifiedTimeBefore' => 'A filter that returns only transform jobs modified before the specified time.
', 'ListTrialComponentsRequest$CreatedAfter' => 'A filter that returns only components created after the specified time.
', 'ListTrialComponentsRequest$CreatedBefore' => 'A filter that returns only components created before the specified time.
', 'ListTrialsRequest$CreatedAfter' => 'A filter that returns only trials created after the specified time.
', 'ListTrialsRequest$CreatedBefore' => 'A filter that returns only trials created before the specified time.
', 'MetricData$Timestamp' => 'The date and time that the algorithm emitted the metric.
', 'Model$CreationTime' => 'A timestamp that indicates when the model was created.
', 'ModelCard$CreationTime' => 'The date and time that the model card was created.
', 'ModelCard$LastModifiedTime' => 'The date and time that the model card was last modified.
', 'ModelCardExportJobSummary$CreatedAt' => 'The date and time that the model card export job was created.
', 'ModelCardExportJobSummary$LastModifiedAt' => 'The date and time that the model card export job was last modified..
', 'ModelCardSummary$CreationTime' => 'The date and time that the model card was created.
', 'ModelCardSummary$LastModifiedTime' => 'The date and time that the model card was last modified.
', 'ModelCardVersionSummary$CreationTime' => 'The date and time that the model card version was created.
', 'ModelCardVersionSummary$LastModifiedTime' => 'The time date and time that the model card version was last modified.
', 'ModelDashboardEndpoint$CreationTime' => 'A timestamp that indicates when the endpoint was created.
', 'ModelDashboardEndpoint$LastModifiedTime' => 'The last time the endpoint was modified.
', 'ModelDashboardModelCard$CreationTime' => 'A timestamp that indicates when the model card was created.
', 'ModelDashboardModelCard$LastModifiedTime' => 'A timestamp that indicates when the model card was last updated.
', 'ModelDashboardMonitoringSchedule$CreationTime' => 'A timestamp that indicates when the monitoring schedule was created.
', 'ModelDashboardMonitoringSchedule$LastModifiedTime' => 'A timestamp that indicates when the monitoring schedule was last updated.
', 'ModelPackage$LastModifiedTime' => 'The last time the model package was modified.
', 'ModelSummary$CreationTime' => 'A timestamp that indicates when the model was created.
', 'MonitoringAlertHistorySummary$CreationTime' => 'A timestamp that indicates when the first alert transition occurred in an alert history. An alert transition can be from status InAlert to OK, or from OK to InAlert.
A timestamp that indicates when a monitor alert was created.
', 'MonitoringAlertSummary$LastModifiedTime' => 'A timestamp that indicates when a monitor alert was last updated.
', 'MonitoringExecutionSummary$ScheduledTime' => 'The time the monitoring job was scheduled.
', 'MonitoringExecutionSummary$CreationTime' => 'The time at which the monitoring job was created.
', 'MonitoringExecutionSummary$LastModifiedTime' => 'A timestamp that indicates the last time the monitoring job was modified.
', 'MonitoringJobDefinitionSummary$CreationTime' => 'The time that the monitoring job was created.
', 'MonitoringSchedule$CreationTime' => 'The time that the monitoring schedule was created.
', 'MonitoringSchedule$LastModifiedTime' => 'The last time the monitoring schedule was changed.
', 'MonitoringScheduleSummary$CreationTime' => 'The creation time of the monitoring schedule.
', 'MonitoringScheduleSummary$LastModifiedTime' => 'The last time the monitoring schedule was modified.
', 'OptimizationJobSummary$OptimizationStartTime' => 'The time when the optimization job started.
', 'OptimizationJobSummary$OptimizationEndTime' => 'The time when the optimization job finished processing.
', 'PartnerAppSummary$CreationTime' => 'The creation time of the SageMaker Partner AI App.
', 'PendingDeploymentSummary$StartTime' => 'The start time of the deployment.
', 'Pipeline$CreationTime' => 'The creation time of the pipeline.
', 'Pipeline$LastModifiedTime' => 'The time that the pipeline was last modified.
', 'Pipeline$LastRunTime' => 'The time when the pipeline was last run.
', 'PipelineExecution$CreationTime' => 'The creation time of the pipeline execution.
', 'PipelineExecution$LastModifiedTime' => 'The time that the pipeline execution was last modified.
', 'PipelineExecutionStep$StartTime' => 'The time that the step started executing.
', 'PipelineExecutionStep$EndTime' => 'The time that the step stopped executing.
', 'PipelineExecutionSummary$StartTime' => 'The start time of the pipeline execution.
', 'PipelineSummary$CreationTime' => 'The creation time of the pipeline.
', 'PipelineSummary$LastModifiedTime' => 'The time that the pipeline was last modified.
', 'PipelineSummary$LastExecutionTime' => 'The last time that a pipeline execution began.
', 'ProcessingJob$ProcessingEndTime' => 'The time that the processing job ended.
', 'ProcessingJob$ProcessingStartTime' => 'The time that the processing job started.
', 'ProcessingJob$LastModifiedTime' => 'The time the processing job was last modified.
', 'ProcessingJob$CreationTime' => 'The time the processing job was created.
', 'ProcessingJobSummary$CreationTime' => 'The time at which the processing job was created.
', 'ProcessingJobSummary$ProcessingEndTime' => 'The time at which the processing job completed.
', 'ProcessingJobSummary$LastModifiedTime' => 'A timestamp that indicates the last time the processing job was modified.
', 'ProductionVariantStatus$StartTime' => 'The start time of the current status change.
', 'ProfilerRuleEvaluationStatus$LastModifiedTime' => 'Timestamp when the rule evaluation status was last modified.
', 'Project$CreationTime' => 'A timestamp specifying when the project was created.
', 'Project$LastModifiedTime' => 'A timestamp container for when the project was last modified.
', 'ProjectSummary$CreationTime' => 'The time that the project was created.
', 'QueryFilters$CreatedBefore' => 'Filter the lineage entities connected to the StartArn(s) by created date.
Filter the lineage entities connected to the StartArn(s) after the create date.
Filter the lineage entities connected to the StartArn(s) before the last modified date.
Filter the lineage entities connected to the StartArn(s) after the last modified date.
The start time of the reserved capacity offering.
', 'ReservedCapacityOffering$EndTime' => 'The end time of the reserved capacity offering.
', 'ReservedCapacitySummary$StartTime' => 'The start time of the reserved capacity.
', 'ReservedCapacitySummary$EndTime' => 'The end time of the reserved capacity.
', 'ResourceCatalog$CreationTime' => ' The time the ResourceCatalog was created.
A filter to search for training plan offerings with a start time after a specified date.
', 'SearchTrainingPlanOfferingsRequest$EndTimeBefore' => 'A filter to search for reserved capacity offerings with an end time before a specified date.
', 'SecondaryStatusTransition$StartTime' => 'A timestamp that shows when the training job transitioned to the current secondary status state.
', 'SecondaryStatusTransition$EndTime' => 'A timestamp that shows when the training job transitioned out of this secondary status state into another secondary status state or when the training job has ended.
', 'StudioLifecycleConfigDetails$CreationTime' => 'The creation time of the Amazon SageMaker AI Studio Lifecycle Configuration.
', 'StudioLifecycleConfigDetails$LastModifiedTime' => 'This value is equivalent to CreationTime because Amazon SageMaker AI Studio Lifecycle Configurations are immutable.
', 'TrackingServerSummary$CreationTime' => 'The creation time of a listed tracking server.
', 'TrackingServerSummary$LastModifiedTime' => 'The last modified time of a listed tracking server.
', 'TrainingJob$CreationTime' => 'A timestamp that indicates when the training job was created.
', 'TrainingJob$TrainingStartTime' => 'Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.
Indicates the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when SageMaker detects a job failure.
A timestamp that indicates when the status of the training job was last modified.
', 'TrainingJobSummary$CreationTime' => 'A timestamp that shows when the training job was created.
', 'TrainingJobSummary$TrainingEndTime' => 'A timestamp that shows when the training job ended. This field is set only if the training job has one of the terminal statuses (Completed, Failed, or Stopped).
Timestamp when the training job was last modified.
', 'TrainingPlanOffering$RequestedStartTimeAfter' => 'The requested start time that the user specified when searching for the training plan offering.
', 'TrainingPlanOffering$RequestedEndTimeBefore' => 'The requested end time that the user specified when searching for the training plan offering.
', 'TrainingPlanSummary$StartTime' => 'The start time of the training plan.
', 'TrainingPlanSummary$EndTime' => 'The end time of the training plan.
', 'TransformJob$CreationTime' => 'A timestamp that shows when the transform Job was created.
', 'TransformJob$TransformStartTime' => 'Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.
Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.
A timestamp that shows when the transform Job was created.
', 'TransformJobSummary$TransformEndTime' => 'Indicates when the transform job ends on compute instances. For successful jobs and stopped jobs, this is the exact time recorded after the results are uploaded. For failed jobs, this is when Amazon SageMaker detected that the job failed.
', 'TransformJobSummary$LastModifiedTime' => 'Indicates when the transform job was last modified.
', 'Trial$CreationTime' => 'When the trial was created.
', 'Trial$LastModifiedTime' => 'Who last modified the trial.
', 'TrialComponent$StartTime' => 'When the component started.
', 'TrialComponent$EndTime' => 'When the component ended.
', 'TrialComponent$CreationTime' => 'When the component was created.
', 'TrialComponent$LastModifiedTime' => 'When the component was last modified.
', 'TrialComponentMetricSummary$TimeStamp' => 'When the metric was last updated.
', 'TrialComponentSimpleSummary$CreationTime' => 'When the component was created.
', 'TrialComponentSummary$StartTime' => 'When the component started.
', 'TrialComponentSummary$EndTime' => 'When the component ended.
', 'TrialComponentSummary$CreationTime' => 'When the component was created.
', 'TrialComponentSummary$LastModifiedTime' => 'When the component was last modified.
', 'TrialSummary$CreationTime' => 'When the trial was created.
', 'TrialSummary$LastModifiedTime' => 'When the trial was last modified.
', 'UpdateTrialComponentRequest$StartTime' => 'When the component started.
', 'UpdateTrialComponentRequest$EndTime' => 'When the component ended.
', 'Workforce$LastUpdatedDate' => 'The most recent date that UpdateWorkforce was used to successfully add one or more IP address ranges (CIDRs) to a private workforce\'s allow list.
', 'Workforce$CreateDate' => 'The date that the workforce is created.
', 'Workteam$CreateDate' => 'The date and time that the work team was created (timestamp).
', 'Workteam$LastUpdatedDate' => 'The date and time that the work team was last updated (timestamp).
', ], ], 'TimestampAttributeName' => [ 'base' => NULL, 'refs' => [ 'TimeSeriesConfig$TimestampAttributeName' => 'The name of the column indicating a point in time at which the target value of a given item is recorded.
', ], ], 'TotalInstanceCount' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingPlanResponse$TotalInstanceCount' => 'The total number of instances reserved in this training plan.
', 'ReservedCapacitySummary$TotalInstanceCount' => 'The total number of instances in the reserved capacity.
', 'TrainingPlanSummary$TotalInstanceCount' => 'The total number of instances reserved in this training plan.
', ], ], 'TrackingServerArn' => [ 'base' => NULL, 'refs' => [ 'CreateMlflowTrackingServerResponse$TrackingServerArn' => 'The ARN of the tracking server.
', 'DeleteMlflowTrackingServerResponse$TrackingServerArn' => 'A TrackingServerArn object, the ARN of the tracking server that is deleted if successfully found.
The ARN of the described tracking server.
', 'StartMlflowTrackingServerResponse$TrackingServerArn' => 'The ARN of the started tracking server.
', 'StopMlflowTrackingServerResponse$TrackingServerArn' => 'The ARN of the stopped tracking server.
', 'TrackingServerSummary$TrackingServerArn' => 'The ARN of a listed tracking server.
', 'UpdateMlflowTrackingServerResponse$TrackingServerArn' => 'The ARN of the updated MLflow Tracking Server.
', ], ], 'TrackingServerName' => [ 'base' => NULL, 'refs' => [ 'CreateMlflowTrackingServerRequest$TrackingServerName' => 'A unique string identifying the tracking server name. This string is part of the tracking server ARN.
', 'CreatePresignedMlflowTrackingServerUrlRequest$TrackingServerName' => 'The name of the tracking server to connect to your MLflow UI.
', 'DeleteMlflowTrackingServerRequest$TrackingServerName' => 'The name of the the tracking server to delete.
', 'DescribeMlflowTrackingServerRequest$TrackingServerName' => 'The name of the MLflow Tracking Server to describe.
', 'DescribeMlflowTrackingServerResponse$TrackingServerName' => 'The name of the described tracking server.
', 'StartMlflowTrackingServerRequest$TrackingServerName' => 'The name of the tracking server to start.
', 'StopMlflowTrackingServerRequest$TrackingServerName' => 'The name of the tracking server to stop.
', 'TrackingServerSummary$TrackingServerName' => 'The name of a listed tracking server.
', 'UpdateMlflowTrackingServerRequest$TrackingServerName' => 'The name of the MLflow Tracking Server to update.
', ], ], 'TrackingServerSize' => [ 'base' => NULL, 'refs' => [ 'CreateMlflowTrackingServerRequest$TrackingServerSize' => 'The size of the tracking server you want to create. You can choose between "Small", "Medium", and "Large". The default MLflow Tracking Server configuration size is "Small". You can choose a size depending on the projected use of the tracking server such as the volume of data logged, number of users, and frequency of use.
We recommend using a small tracking server for teams of up to 25 users, a medium tracking server for teams of up to 50 users, and a large tracking server for teams of up to 100 users.
', 'DescribeMlflowTrackingServerResponse$TrackingServerSize' => 'The size of the described tracking server.
', 'UpdateMlflowTrackingServerRequest$TrackingServerSize' => 'The new size for the MLflow Tracking Server.
', ], ], 'TrackingServerStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeMlflowTrackingServerResponse$TrackingServerStatus' => 'The current creation status of the described MLflow Tracking Server.
', 'ListMlflowTrackingServersRequest$TrackingServerStatus' => 'Filter for tracking servers with a specified creation status.
', 'TrackingServerSummary$TrackingServerStatus' => 'The creation status of a listed tracking server.
', ], ], 'TrackingServerSummary' => [ 'base' => 'The summary of the tracking server to list.
', 'refs' => [ 'TrackingServerSummaryList$member' => NULL, ], ], 'TrackingServerSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListMlflowTrackingServersResponse$TrackingServerSummaries' => 'A list of tracking servers according to chosen filters.
', ], ], 'TrackingServerUrl' => [ 'base' => NULL, 'refs' => [ 'CreatePresignedMlflowTrackingServerUrlResponse$AuthorizedUrl' => 'A presigned URL with an authorization token.
', 'DescribeMlflowTrackingServerResponse$TrackingServerUrl' => 'The URL to connect to the MLflow user interface for the described tracking server.
', ], ], 'TrafficDurationInSeconds' => [ 'base' => NULL, 'refs' => [ 'Phase$DurationInSeconds' => 'Specifies how long a traffic phase should be. For custom load tests, the value should be between 120 and 3600. This value should not exceed JobDurationInSeconds.
Defines how long each traffic step should be.
', ], ], 'TrafficPattern' => [ 'base' => 'Defines the traffic pattern of the load test.
', 'refs' => [ 'RecommendationJobInputConfig$TrafficPattern' => 'Specifies the traffic pattern of the job.
', ], ], 'TrafficRoutingConfig' => [ 'base' => 'Defines the traffic routing strategy during an endpoint deployment to shift traffic from the old fleet to the new fleet.
', 'refs' => [ 'BlueGreenUpdatePolicy$TrafficRoutingConfiguration' => 'Defines the traffic routing strategy to shift traffic from the old fleet to the new fleet during an endpoint deployment.
', ], ], 'TrafficRoutingConfigType' => [ 'base' => NULL, 'refs' => [ 'TrafficRoutingConfig$Type' => 'Traffic routing strategy type.
ALL_AT_ONCE: Endpoint traffic shifts to the new fleet in a single step.
CANARY: Endpoint traffic shifts to the new fleet in two steps. The first step is the canary, which is a small portion of the traffic. The second step is the remainder of the traffic.
LINEAR: Endpoint traffic shifts to the new fleet in n steps of a configurable size.
Defines the traffic patterns. Choose either PHASES or STAIRS.
The arguments for a container used to run a training job. See How Amazon SageMaker Runs Your Training Image for additional information.
', ], ], 'TrainingContainerEntrypoint' => [ 'base' => NULL, 'refs' => [ 'AlgorithmSpecification$ContainerEntrypoint' => 'The entrypoint script for a Docker container used to run a training job. This script takes precedence over the default train processing instructions. See How Amazon SageMaker Runs Your Training Image for more information.
', ], ], 'TrainingContainerEntrypointString' => [ 'base' => NULL, 'refs' => [ 'TrainingContainerEntrypoint$member' => NULL, ], ], 'TrainingEnvironmentKey' => [ 'base' => NULL, 'refs' => [ 'TrainingEnvironmentMap$key' => NULL, ], ], 'TrainingEnvironmentMap' => [ 'base' => NULL, 'refs' => [ 'CreateTrainingJobRequest$Environment' => 'The environment variables to set in the Docker container.
', 'DescribeTrainingJobResponse$Environment' => 'The environment variables to set in the Docker container.
', 'TrainingJob$Environment' => 'The environment variables to set in the Docker container.
', ], ], 'TrainingEnvironmentValue' => [ 'base' => NULL, 'refs' => [ 'TrainingEnvironmentMap$value' => NULL, ], ], 'TrainingImageConfig' => [ 'base' => 'The configuration to use an image from a private Docker registry for a training job.
', 'refs' => [ 'AlgorithmSpecification$TrainingImageConfig' => 'The configuration to use an image from a private Docker registry for a training job.
', ], ], 'TrainingInputMode' => [ 'base' => 'The training input mode that the algorithm supports. For more information about input modes, see Algorithms.
Pipe mode
If an algorithm supports Pipe mode, Amazon SageMaker streams data directly from Amazon S3 to the container.
File mode
If an algorithm supports File mode, SageMaker downloads the training data from S3 to the provisioned ML storage volume, and mounts the directory to the Docker volume for the training container.
You must provision the ML storage volume with sufficient capacity to accommodate the data downloaded from S3. In addition to the training data, the ML storage volume also stores the output model. The algorithm container uses the ML storage volume to also store intermediate information, if any.
For distributed algorithms, training data is distributed uniformly. Your training duration is predictable if the input data objects sizes are approximately the same. SageMaker does not split the files any further for model training. If the object sizes are skewed, training won\'t be optimal as the data distribution is also skewed when one host in a training cluster is overloaded, thus becoming a bottleneck in training.
FastFile mode
If an algorithm supports FastFile mode, SageMaker streams data directly from S3 to the container with no code changes, and provides file system access to the data. Users can author their training script to interact with these files as if they were stored on disk.
FastFile mode works best when the data is read sequentially. Augmented manifest files aren\'t supported. The startup time is lower when there are fewer files in the S3 bucket provided.
(Optional) The input mode to use for the data channel in a training job. If you don\'t set a value for InputMode, SageMaker uses the value set for TrainingInputMode. Use this parameter to override the TrainingInputMode setting in a AlgorithmSpecification request when you have a channel that needs a different input mode from the training job\'s general setting. To download the data from Amazon Simple Storage Service (Amazon S3) to the provisioned ML storage volume, and mount the directory to a Docker volume, use File input mode. To stream data directly from Amazon S3 to the container, choose Pipe input mode.
To use a model for incremental training, choose File input model.
The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See Step 2: Launch a SageMaker Distributed Training Job Using the SageMaker Python SDK for more information.
The number of compute instances of type InstanceType to use. For distributed training, select a value greater than 1.
Specifies the number of instances of the instance group.
', 'ResourceConfig$InstanceCount' => 'The number of ML compute instances to use. For distributed training, provide a value greater than 1.
', ], ], 'TrainingInstanceType' => [ 'base' => NULL, 'refs' => [ 'HyperParameterTuningInstanceConfig$InstanceType' => 'The instance type used for processing of hyperparameter optimization jobs. Choose from general purpose (no GPUs) instance types: ml.m5.xlarge, ml.m5.2xlarge, and ml.m5.4xlarge or compute optimized (no GPUs) instance types: ml.c5.xlarge and ml.c5.2xlarge. For more information about instance types, see instance type descriptions.
', 'HyperParameterTuningResourceConfig$InstanceType' => 'The instance type used to run hyperparameter optimization tuning jobs. See descriptions of instance types for more information.
', 'InstanceGroup$InstanceType' => 'Specifies the instance type of the instance group.
', 'ResourceConfig$InstanceType' => 'The ML compute instance type.
SageMaker Training on Amazon Elastic Compute Cloud (EC2) P4de instances is in preview release starting December 9th, 2022.
Amazon EC2 P4de instances (currently in preview) are powered by 8 NVIDIA A100 GPUs with 80GB high-performance HBM2e GPU memory, which accelerate the speed of training ML models that need to be trained on large datasets of high-resolution data. In this preview release, Amazon SageMaker supports ML training jobs on P4de instances (ml.p4de.24xlarge) to reduce model training time. The ml.p4de.24xlarge instances are available in the following Amazon Web Services Regions.
US East (N. Virginia) (us-east-1)
US West (Oregon) (us-west-2)
To request quota limit increase and start using P4de instances, contact the SageMaker Training service team through your account team.
A list of the instance types that this algorithm can use for training.
', ], ], 'TrainingJob' => [ 'base' => 'Contains information about a training job.
', 'refs' => [ 'SearchRecord$TrainingJob' => 'The properties of a training job.
', 'TrialComponentSourceDetail$TrainingJob' => 'Information about a training job that\'s the source of a trial component.
', ], ], 'TrainingJobArn' => [ 'base' => NULL, 'refs' => [ 'CreateTrainingJobResponse$TrainingJobArn' => 'The Amazon Resource Name (ARN) of the training job.
', 'DescribeProcessingJobResponse$TrainingJobArn' => 'The ARN of a training job associated with this processing job.
', 'DescribeTrainingJobResponse$TrainingJobArn' => 'The Amazon Resource Name (ARN) of the training job.
', 'HyperParameterTrainingJobSummary$TrainingJobArn' => 'The Amazon Resource Name (ARN) of the training job.
', 'ProcessingJob$TrainingJobArn' => 'The ARN of the training job associated with this processing job.
', 'TrainingJob$TrainingJobArn' => 'The Amazon Resource Name (ARN) of the training job.
', 'TrainingJobStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the training job that was run by this step execution.
', 'TrainingJobSummary$TrainingJobArn' => 'The Amazon Resource Name (ARN) of the training job.
', 'UpdateTrainingJobResponse$TrainingJobArn' => 'The Amazon Resource Name (ARN) of the training job.
', ], ], 'TrainingJobDefinition' => [ 'base' => 'Defines the input needed to run a training job using the algorithm.
', 'refs' => [ 'AlgorithmValidationProfile$TrainingJobDefinition' => 'The TrainingJobDefinition object that describes the training job that SageMaker runs to validate your algorithm.
Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job. Because the Hyperband strategy has its own advanced internal early stopping mechanism, TrainingJobEarlyStoppingType must be OFF to use Hyperband. This parameter can take on one of the following values (the default value is OFF):
Training jobs launched by the hyperparameter tuning job do not use early stopping.
SageMaker stops training jobs launched by the hyperparameter tuning job when they are unlikely to perform better than previously completed training jobs. For more information, see Stop Training Jobs Early.
The name of the training job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.
', 'DescribeTrainingJobRequest$TrainingJobName' => 'The name of the training job.
', 'DescribeTrainingJobResponse$TrainingJobName' => 'Name of the model training job.
', 'HyperParameterTrainingJobSummary$TrainingJobName' => 'The name of the training job.
', 'StopTrainingJobRequest$TrainingJobName' => 'The name of the training job to stop.
', 'TrainingJob$TrainingJobName' => 'The name of the training job.
', 'TrainingJobSummary$TrainingJobName' => 'The name of the training job that you want a summary for.
', 'UpdateTrainingJobRequest$TrainingJobName' => 'The name of a training job to update the Debugger profiling configuration.
', 'WarmPoolStatus$ReusedByJob' => 'The name of the matching training job that reused the warm pool.
', ], ], 'TrainingJobSortByOptions' => [ 'base' => NULL, 'refs' => [ 'ListTrainingJobsForHyperParameterTuningJobRequest$SortBy' => 'The field to sort results by. The default is Name.
If the value of this field is FinalObjectiveMetricValue, any training jobs that did not return an objective metric are not listed.
The status of the training job.
SageMaker provides the following training job statuses:
InProgress - The training is in progress.
Completed - The training job has completed.
Failed - The training job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTrainingJobResponse call.
Stopping - The training job is stopping.
Stopped - The training job has stopped.
For more detailed information, see SecondaryStatus.
The status of the training job.
', 'ListTrainingJobsForHyperParameterTuningJobRequest$StatusEquals' => 'A filter that returns only training jobs with the specified status.
', 'ListTrainingJobsRequest$StatusEquals' => 'A filter that retrieves only training jobs with a specific status.
', 'TrainingJob$TrainingJobStatus' => 'The status of the training job.
Training job statuses are:
InProgress - The training is in progress.
Completed - The training job has completed.
Failed - The training job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTrainingJobResponse call.
Stopping - The training job is stopping.
Stopped - The training job has stopped.
For more detailed information, see SecondaryStatus.
The status of the training job.
', ], ], 'TrainingJobStatusCounter' => [ 'base' => NULL, 'refs' => [ 'TrainingJobStatusCounters$Completed' => 'The number of completed training jobs launched by the hyperparameter tuning job.
', 'TrainingJobStatusCounters$InProgress' => 'The number of in-progress training jobs launched by a hyperparameter tuning job.
', 'TrainingJobStatusCounters$RetryableError' => 'The number of training jobs that failed, but can be retried. A failed training job can be retried only if it failed because an internal service error occurred.
', 'TrainingJobStatusCounters$NonRetryableError' => 'The number of training jobs that failed and can\'t be retried. A failed training job can\'t be retried if it failed because a client error occurred.
', 'TrainingJobStatusCounters$Stopped' => 'The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
', ], ], 'TrainingJobStatusCounters' => [ 'base' => 'The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.
', 'refs' => [ 'DescribeHyperParameterTuningJobResponse$TrainingJobStatusCounters' => 'The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this tuning job launched.
', 'HyperParameterTuningJobSearchEntity$TrainingJobStatusCounters' => NULL, 'HyperParameterTuningJobSummary$TrainingJobStatusCounters' => 'The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.
', ], ], 'TrainingJobStepMetadata' => [ 'base' => 'Metadata for a training job step.
', 'refs' => [ 'PipelineExecutionStepMetadata$TrainingJob' => 'The Amazon Resource Name (ARN) of the training job that was run by this step execution.
', ], ], 'TrainingJobSummaries' => [ 'base' => NULL, 'refs' => [ 'ListTrainingJobsResponse$TrainingJobSummaries' => 'An array of TrainingJobSummary objects, each listing a training job.
Provides summary information about a training job.
', 'refs' => [ 'TrainingJobSummaries$member' => NULL, ], ], 'TrainingPlanArn' => [ 'base' => NULL, 'refs' => [ 'ClusterInstanceGroupDetails$TrainingPlanArn' => 'The Amazon Resource Name (ARN); of the training plan associated with this cluster instance group.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The Amazon Resource Name (ARN); of the training plan to use for this cluster instance group.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The Amazon Resource Name (ARN); of the created training plan.
', 'DescribeTrainingPlanResponse$TrainingPlanArn' => 'The Amazon Resource Name (ARN); of the training plan.
', 'ListClustersRequest$TrainingPlanArn' => 'The Amazon Resource Name (ARN); of the training plan to filter clusters by. For more information about reserving GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The Amazon Resource Name (ARN); of the training plan to filter training jobs by. For more information about reserving GPU capacity for your SageMaker training jobs using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The Amazon Resource Name (ARN); of the training plan to use for this resource configuration.
', 'TrainingJobSummary$TrainingPlanArn' => 'The Amazon Resource Name (ARN); of the training plan associated with this training job.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The Amazon Resource Name (ARN); of the training plan.
', ], ], 'TrainingPlanArns' => [ 'base' => NULL, 'refs' => [ 'ClusterSummary$TrainingPlanArns' => 'A list of Amazon Resource Names (ARNs) of the training plans associated with this cluster.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The number of whole hours in the total duration for this training plan.
', 'TrainingPlanOffering$DurationHours' => 'The number of whole hours in the total duration for this training plan offering.
', 'TrainingPlanSummary$DurationHours' => 'The number of whole hours in the total duration for this training plan.
', ], ], 'TrainingPlanDurationHoursInput' => [ 'base' => NULL, 'refs' => [ 'SearchTrainingPlanOfferingsRequest$DurationHours' => 'The desired duration in hours for the training plan offerings.
', ], ], 'TrainingPlanDurationMinutes' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingPlanResponse$DurationMinutes' => 'The additional minutes beyond whole hours in the total duration for this training plan.
', 'TrainingPlanOffering$DurationMinutes' => 'The additional minutes beyond whole hours in the total duration for this training plan offering.
', 'TrainingPlanSummary$DurationMinutes' => 'The additional minutes beyond whole hours in the total duration for this training plan.
', ], ], 'TrainingPlanFilter' => [ 'base' => 'A filter to apply when listing or searching for training plans.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The name of the filter field (e.g., Status, InstanceType).
', ], ], 'TrainingPlanFilters' => [ 'base' => NULL, 'refs' => [ 'ListTrainingPlansRequest$Filters' => 'Additional filters to apply to the list of training plans.
', ], ], 'TrainingPlanName' => [ 'base' => NULL, 'refs' => [ 'CreateTrainingPlanRequest$TrainingPlanName' => 'The name of the training plan to create.
', 'DescribeTrainingPlanRequest$TrainingPlanName' => 'The name of the training plan to describe.
', 'DescribeTrainingPlanResponse$TrainingPlanName' => 'The name of the training plan.
', 'TrainingPlanSummary$TrainingPlanName' => 'The name of the training plan.
', ], ], 'TrainingPlanOffering' => [ 'base' => 'Details about a training plan offering.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The unique identifier of the training plan offering to use for creating this plan.
', 'TrainingPlanOffering$TrainingPlanOfferingId' => 'The unique identifier for this training plan offering.
', ], ], 'TrainingPlanOfferings' => [ 'base' => NULL, 'refs' => [ 'SearchTrainingPlanOfferingsResponse$TrainingPlanOfferings' => 'A list of training plan offerings that match the search criteria.
', ], ], 'TrainingPlanSortBy' => [ 'base' => NULL, 'refs' => [ 'ListTrainingPlansRequest$SortBy' => 'The training plan field to sort the results by (e.g., StartTime, Status).
', ], ], 'TrainingPlanSortOrder' => [ 'base' => NULL, 'refs' => [ 'ListTrainingPlansRequest$SortOrder' => 'The order to sort the results (Ascending or Descending).
', ], ], 'TrainingPlanStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingPlanResponse$Status' => 'The current status of the training plan (e.g., Pending, Active, Expired). To see the complete list of status values available for a training plan, refer to the Status attribute within the TrainingPlanSummary object.
The current status of the training plan (e.g., Pending, Active, Expired). To see the complete list of status values available for a training plan, refer to the Status attribute within the TrainingPlanSummary object.
A message providing additional information about the current status of the training plan.
', 'TrainingPlanSummary$StatusMessage' => 'A message providing additional information about the current status of the training plan.
', ], ], 'TrainingPlanSummaries' => [ 'base' => NULL, 'refs' => [ 'ListTrainingPlansResponse$TrainingPlanSummaries' => 'A list of summary information for the training plans.
', ], ], 'TrainingPlanSummary' => [ 'base' => 'Details of the training plan.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The method that your training job will use to gain access to the images in your private Docker registry. For access to an image in a private Docker registry, set to Vpc.
An object containing authentication information for a private Docker registry.
', 'refs' => [ 'TrainingImageConfig$TrainingRepositoryAuthConfig' => 'An object containing authentication information for a private Docker registry containing your training images.
', ], ], 'TrainingRepositoryCredentialsProviderArn' => [ 'base' => NULL, 'refs' => [ 'TrainingRepositoryAuthConfig$TrainingRepositoryCredentialsProviderArn' => 'The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function used to give SageMaker access credentials to your private Docker registry.
', ], ], 'TrainingSpecification' => [ 'base' => 'Defines how the algorithm is used for a training job.
', 'refs' => [ 'CreateAlgorithmInput$TrainingSpecification' => 'Specifies details about training jobs run by this algorithm, including the following:
The Amazon ECR path of the container and the version digest of the algorithm.
The hyperparameters that the algorithm supports.
The instance types that the algorithm supports for training.
Whether the algorithm supports distributed training.
The metrics that the algorithm emits to Amazon CloudWatch.
Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.
Details about training jobs run by this algorithm.
', ], ], 'TrainingTimeInSeconds' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingJobResponse$TrainingTimeInSeconds' => 'The training time in seconds.
', 'TrainingJob$TrainingTimeInSeconds' => 'The training time in seconds.
', ], ], 'TransformDataSource' => [ 'base' => 'Describes the location of the channel data.
', 'refs' => [ 'TransformInput$DataSource' => 'Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.
', ], ], 'TransformEnvironmentKey' => [ 'base' => NULL, 'refs' => [ 'TransformEnvironmentMap$key' => NULL, ], ], 'TransformEnvironmentMap' => [ 'base' => NULL, 'refs' => [ 'CreateTransformJobRequest$Environment' => 'The environment variables to set in the Docker container. Don\'t include any sensitive data in your environment variables. We support up to 16 key and values entries in the map.
', 'DescribeTransformJobResponse$Environment' => 'The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
', 'TransformJob$Environment' => 'The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
', 'TransformJobDefinition$Environment' => 'The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
', ], ], 'TransformEnvironmentValue' => [ 'base' => NULL, 'refs' => [ 'TransformEnvironmentMap$value' => NULL, ], ], 'TransformInput' => [ 'base' => 'Describes the input source of a transform job and the way the transform job consumes it.
', 'refs' => [ 'CreateTransformJobRequest$TransformInput' => 'Describes the input source and the way the transform job consumes it.
', 'DescribeTransformJobResponse$TransformInput' => 'Describes the dataset to be transformed and the Amazon S3 location where it is stored.
', 'TransformJob$TransformInput' => NULL, 'TransformJobDefinition$TransformInput' => 'A description of the input source and the way the transform job consumes it.
', ], ], 'TransformInstanceCount' => [ 'base' => NULL, 'refs' => [ 'TransformResources$InstanceCount' => 'The number of ML compute instances to use in the transform job. The default value is 1, and the maximum is 100. For distributed transform jobs, specify a value greater than 1.
The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types.
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
', 'InferenceSpecification$SupportedTransformInstanceTypes' => 'A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
This parameter is required for unversioned models, and optional for versioned models.
', ], ], 'TransformJob' => [ 'base' => 'A batch transform job. For information about SageMaker batch transform, see Use Batch Transform.
', 'refs' => [ 'ModelDashboardModel$LastBatchTransformJob' => NULL, 'TrialComponentSourceDetail$TransformJob' => 'Information about a transform job that\'s the source of a trial component.
', ], ], 'TransformJobArn' => [ 'base' => NULL, 'refs' => [ 'CreateTransformJobResponse$TransformJobArn' => 'The Amazon Resource Name (ARN) of the transform job.
', 'DescribeTransformJobResponse$TransformJobArn' => 'The Amazon Resource Name (ARN) of the transform job.
', 'TransformJob$TransformJobArn' => 'The Amazon Resource Name (ARN) of the transform job.
', 'TransformJobStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the transform job that was run by this step execution.
', 'TransformJobSummary$TransformJobArn' => 'The Amazon Resource Name (ARN) of the transform job.
', ], ], 'TransformJobDefinition' => [ 'base' => 'Defines the input needed to run a transform job using the inference specification specified in the algorithm.
', 'refs' => [ 'AlgorithmValidationProfile$TransformJobDefinition' => 'The TransformJobDefinition object that describes the transform job that SageMaker runs to validate your algorithm.
The TransformJobDefinition object that describes the transform job used for the validation of the model package.
The name of the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.
', 'DescribeTransformJobRequest$TransformJobName' => 'The name of the transform job that you want to view details of.
', 'DescribeTransformJobResponse$TransformJobName' => 'The name of the transform job.
', 'StopTransformJobRequest$TransformJobName' => 'The name of the batch transform job to stop.
', 'TransformJob$TransformJobName' => 'The name of the transform job.
', 'TransformJobSummary$TransformJobName' => 'The name of the transform job.
', ], ], 'TransformJobStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeTransformJobResponse$TransformJobStatus' => 'The status of the transform job. If the transform job failed, the reason is returned in the FailureReason field.
A filter that retrieves only transform jobs with a specific status.
', 'TransformJob$TransformJobStatus' => 'The status of the transform job.
Transform job statuses are:
InProgress - The job is in progress.
Completed - The job has completed.
Failed - The transform job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTransformJob call.
Stopping - The transform job is stopping.
Stopped - The transform job has stopped.
The status of the transform job.
', ], ], 'TransformJobStepMetadata' => [ 'base' => 'Metadata for a transform job step.
', 'refs' => [ 'PipelineExecutionStepMetadata$TransformJob' => 'The Amazon Resource Name (ARN) of the transform job that was run by this step execution.
', ], ], 'TransformJobSummaries' => [ 'base' => NULL, 'refs' => [ 'ListTransformJobsResponse$TransformJobSummaries' => 'An array of TransformJobSummary objects.
Provides a summary of a transform job. Multiple TransformJobSummary objects are returned as a list after in response to a ListTransformJobs call.
Describes the results of a transform job.
', 'refs' => [ 'CreateTransformJobRequest$TransformOutput' => 'Describes the results of the transform job.
', 'DescribeTransformJobResponse$TransformOutput' => 'Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
', 'TransformJob$TransformOutput' => NULL, 'TransformJobDefinition$TransformOutput' => 'Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
', ], ], 'TransformResources' => [ 'base' => 'Describes the resources, including ML instance types and ML instance count, to use for transform job.
', 'refs' => [ 'CreateTransformJobRequest$TransformResources' => 'Describes the resources, including ML instance types and ML instance count, to use for the transform job.
', 'DescribeTransformJobResponse$TransformResources' => 'Describes the resources, including ML instance types and ML instance count, to use for the transform job.
', 'TransformJob$TransformResources' => NULL, 'TransformJobDefinition$TransformResources' => 'Identifies the ML compute instances for the transform job.
', ], ], 'TransformS3DataSource' => [ 'base' => 'Describes the S3 data source.
', 'refs' => [ 'TransformDataSource$S3DataSource' => 'The S3 location of the data source that is associated with a channel.
', ], ], 'TransformationAttributeName' => [ 'base' => NULL, 'refs' => [ 'AggregationTransformations$key' => NULL, 'FillingTransformations$key' => NULL, ], ], 'Trial' => [ 'base' => 'The properties of a trial as returned by the Search API.
', 'refs' => [ 'SearchRecord$Trial' => 'The properties of a trial.
', ], ], 'TrialArn' => [ 'base' => NULL, 'refs' => [ 'AssociateTrialComponentResponse$TrialArn' => 'The Amazon Resource Name (ARN) of the trial.
', 'CreateTrialResponse$TrialArn' => 'The Amazon Resource Name (ARN) of the trial.
', 'DeleteTrialResponse$TrialArn' => 'The Amazon Resource Name (ARN) of the trial that is being deleted.
', 'DescribeTrialResponse$TrialArn' => 'The Amazon Resource Name (ARN) of the trial.
', 'DisassociateTrialComponentResponse$TrialArn' => 'The Amazon Resource Name (ARN) of the trial.
', 'Trial$TrialArn' => 'The Amazon Resource Name (ARN) of the trial.
', 'TrialSummary$TrialArn' => 'The Amazon Resource Name (ARN) of the trial.
', 'UpdateTrialResponse$TrialArn' => 'The Amazon Resource Name (ARN) of the trial.
', ], ], 'TrialComponent' => [ 'base' => 'The properties of a trial component as returned by the Search API.
', 'refs' => [ 'SearchRecord$TrialComponent' => 'The properties of a trial component.
', ], ], 'TrialComponentArn' => [ 'base' => NULL, 'refs' => [ 'AssociateTrialComponentResponse$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the trial component.
', 'CreateTrialComponentResponse$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the trial component.
', 'DeleteTrialComponentResponse$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the component is being deleted.
', 'DescribeTrialComponentResponse$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the trial component.
', 'DisassociateTrialComponentResponse$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the trial component.
', 'TrialComponent$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the trial component.
', 'TrialComponentSimpleSummary$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the trial component.
', 'TrialComponentSummary$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the trial component.
', 'UpdateTrialComponentResponse$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the trial component.
', ], ], 'TrialComponentArtifact' => [ 'base' => 'Represents an input or output artifact of a trial component. You specify TrialComponentArtifact as part of the InputArtifacts and OutputArtifacts parameters in the CreateTrialComponent request.
Examples of input artifacts are datasets, algorithms, hyperparameters, source code, and instance types. Examples of output artifacts are metrics, snapshots, logs, and images.
', 'refs' => [ 'TrialComponentArtifacts$value' => NULL, ], ], 'TrialComponentArtifactValue' => [ 'base' => NULL, 'refs' => [ 'TrialComponentArtifact$Value' => 'The location of the artifact.
', ], ], 'TrialComponentArtifacts' => [ 'base' => NULL, 'refs' => [ 'CreateTrialComponentRequest$InputArtifacts' => 'The input artifacts for the component. Examples of input artifacts are datasets, algorithms, hyperparameters, source code, and instance types.
', 'CreateTrialComponentRequest$OutputArtifacts' => 'The output artifacts for the component. Examples of output artifacts are metrics, snapshots, logs, and images.
', 'DescribeTrialComponentResponse$InputArtifacts' => 'The input artifacts of the component.
', 'DescribeTrialComponentResponse$OutputArtifacts' => 'The output artifacts of the component.
', 'TrialComponent$InputArtifacts' => 'The input artifacts of the component.
', 'TrialComponent$OutputArtifacts' => 'The output artifacts of the component.
', 'UpdateTrialComponentRequest$InputArtifacts' => 'Replaces all of the component\'s input artifacts with the specified artifacts or adds new input artifacts. Existing input artifacts are replaced if the trial component is updated with an identical input artifact key.
', 'UpdateTrialComponentRequest$OutputArtifacts' => 'Replaces all of the component\'s output artifacts with the specified artifacts or adds new output artifacts. Existing output artifacts are replaced if the trial component is updated with an identical output artifact key.
', ], ], 'TrialComponentKey128' => [ 'base' => NULL, 'refs' => [ 'TrialComponentArtifacts$key' => NULL, ], ], 'TrialComponentKey256' => [ 'base' => NULL, 'refs' => [ 'ListTrialComponentKey256$member' => NULL, ], ], 'TrialComponentKey320' => [ 'base' => NULL, 'refs' => [ 'TrialComponentParameters$key' => NULL, ], ], 'TrialComponentMetricSummaries' => [ 'base' => NULL, 'refs' => [ 'DescribeTrialComponentResponse$Metrics' => 'The metrics for the component.
', 'TrialComponent$Metrics' => 'The metrics for the component.
', ], ], 'TrialComponentMetricSummary' => [ 'base' => 'A summary of the metrics of a trial component.
', 'refs' => [ 'TrialComponentMetricSummaries$member' => NULL, ], ], 'TrialComponentParameterValue' => [ 'base' => 'The value of a hyperparameter. Only one of NumberValue or StringValue can be specified.
This object is specified in the CreateTrialComponent request.
', 'refs' => [ 'TrialComponentParameters$value' => NULL, ], ], 'TrialComponentParameters' => [ 'base' => NULL, 'refs' => [ 'CreateTrialComponentRequest$Parameters' => 'The hyperparameters for the component.
', 'DescribeTrialComponentResponse$Parameters' => 'The hyperparameters of the component.
', 'TrialComponent$Parameters' => 'The hyperparameters of the component.
', 'UpdateTrialComponentRequest$Parameters' => 'Replaces all of the component\'s hyperparameters with the specified hyperparameters or add new hyperparameters. Existing hyperparameters are replaced if the trial component is updated with an identical hyperparameter key.
', ], ], 'TrialComponentPrimaryStatus' => [ 'base' => NULL, 'refs' => [ 'TrialComponentStatus$PrimaryStatus' => 'The status of the trial component.
', ], ], 'TrialComponentSimpleSummaries' => [ 'base' => NULL, 'refs' => [ 'Trial$TrialComponentSummaries' => 'A list of the components associated with the trial. For each component, a summary of the component\'s properties is included.
', ], ], 'TrialComponentSimpleSummary' => [ 'base' => 'A short summary of a trial component.
', 'refs' => [ 'TrialComponentSimpleSummaries$member' => NULL, ], ], 'TrialComponentSource' => [ 'base' => 'The Amazon Resource Name (ARN) and job type of the source of a trial component.
', 'refs' => [ 'DescribeTrialComponentResponse$Source' => 'The Amazon Resource Name (ARN) of the source and, optionally, the job type.
', 'TrialComponent$Source' => 'The Amazon Resource Name (ARN) and job type of the source of the component.
', 'TrialComponentSimpleSummary$TrialComponentSource' => NULL, 'TrialComponentSources$member' => NULL, 'TrialComponentSummary$TrialComponentSource' => NULL, ], ], 'TrialComponentSourceArn' => [ 'base' => NULL, 'refs' => [ 'TrialComponentMetricSummary$SourceArn' => 'The Amazon Resource Name (ARN) of the source.
', 'TrialComponentSource$SourceArn' => 'The source Amazon Resource Name (ARN).
', 'TrialComponentSourceDetail$SourceArn' => 'The Amazon Resource Name (ARN) of the source.
', ], ], 'TrialComponentSourceDetail' => [ 'base' => 'Detailed information about the source of a trial component. Either ProcessingJob or TrainingJob is returned.
Details of the source of the component.
', ], ], 'TrialComponentSources' => [ 'base' => NULL, 'refs' => [ 'DescribeTrialComponentResponse$Sources' => 'A list of ARNs and, if applicable, job types for multiple sources of an experiment run.
', ], ], 'TrialComponentStatus' => [ 'base' => 'The status of the trial component.
', 'refs' => [ 'CreateTrialComponentRequest$Status' => 'The status of the component. States include:
InProgress
Completed
Failed
The status of the component. States include:
InProgress
Completed
Failed
The status of the component. States include:
InProgress
Completed
Failed
The new status of the component.
', ], ], 'TrialComponentStatusMessage' => [ 'base' => NULL, 'refs' => [ 'TrialComponentStatus$Message' => 'If the component failed, a message describing why.
', ], ], 'TrialComponentSummaries' => [ 'base' => NULL, 'refs' => [ 'ListTrialComponentsResponse$TrialComponentSummaries' => 'A list of the summaries of your trial components.
', ], ], 'TrialComponentSummary' => [ 'base' => 'A summary of the properties of a trial component. To get all the properties, call the DescribeTrialComponent API and provide the TrialComponentName.
The source of the trial.
', 'refs' => [ 'DescribeTrialResponse$Source' => 'The Amazon Resource Name (ARN) of the source and, optionally, the job type.
', 'Trial$Source' => NULL, 'TrialSummary$TrialSource' => NULL, ], ], 'TrialSourceArn' => [ 'base' => NULL, 'refs' => [ 'TrialSource$SourceArn' => 'The Amazon Resource Name (ARN) of the source.
', ], ], 'TrialSummaries' => [ 'base' => NULL, 'refs' => [ 'ListTrialsResponse$TrialSummaries' => 'A list of the summaries of your trials.
', ], ], 'TrialSummary' => [ 'base' => 'A summary of the properties of a trial. To get the complete set of properties, call the DescribeTrial API and provide the TrialName.
Time to live duration, where the record is hard deleted after the expiration time is reached; ExpiresAt = EventTime + TtlDuration. For information on HardDelete, see the DeleteRecord API in the Amazon SageMaker API Reference guide.
Time to live duration, where the record is hard deleted after the expiration time is reached; ExpiresAt = EventTime + TtlDuration. For information on HardDelete, see the DeleteRecord API in the Amazon SageMaker API Reference guide.
Time to live duration, where the record is hard deleted after the expiration time is reached; ExpiresAt = EventTime + TtlDuration. For information on HardDelete, see the DeleteRecord API in the Amazon SageMaker API Reference guide.
TtlDuration time unit.
TtlDuration time value.
The job completion criteria.
', 'refs' => [ 'HyperParameterTuningJobConfig$TuningJobCompletionCriteria' => 'The tuning job\'s completion criteria.
', ], ], 'TuningJobStepMetaData' => [ 'base' => 'Metadata for a tuning step.
', 'refs' => [ 'PipelineExecutionStepMetadata$TuningJob' => 'The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.
', ], ], 'USD' => [ 'base' => 'Represents an amount of money in United States dollars.
', 'refs' => [ 'PublicWorkforceTaskPrice$AmountInUsd' => 'Defines the amount of money paid to an Amazon Mechanical Turk worker in United States dollars.
', ], ], 'UiConfig' => [ 'base' => 'Provided configuration information for the worker UI for a labeling job. Provide either HumanTaskUiArn or UiTemplateS3Uri.
For named entity recognition, 3D point cloud and video frame labeling jobs, use HumanTaskUiArn.
For all other Ground Truth built-in task types and custom task types, use UiTemplateS3Uri to specify the location of a worker task template in Amazon S3.
Information about the user interface that workers use to complete the labeling task.
', ], ], 'UiTemplate' => [ 'base' => 'The Liquid template for the worker user interface.
', 'refs' => [ 'CreateHumanTaskUiRequest$UiTemplate' => NULL, 'RenderUiTemplateRequest$UiTemplate' => 'A Template object containing the worker UI template to render.
Container for user interface template information.
', 'refs' => [ 'DescribeHumanTaskUiResponse$UiTemplate' => NULL, ], ], 'Uid' => [ 'base' => NULL, 'refs' => [ 'CustomPosixUserConfig$Uid' => 'The POSIX user ID.
', ], ], 'UpdateActionRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateActionResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateAppImageConfigRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateAppImageConfigResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateArtifactRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateArtifactResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateClusterRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateClusterResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateClusterSchedulerConfigRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateClusterSchedulerConfigResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateClusterSoftwareRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateClusterSoftwareResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateCodeRepositoryInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateCodeRepositoryOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateComputeQuotaRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateComputeQuotaResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateContextRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateContextResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateDeviceFleetRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateDevicesRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateDomainRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateDomainResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateEndpointInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateEndpointOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateEndpointWeightsAndCapacitiesInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateEndpointWeightsAndCapacitiesOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateExperimentRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateExperimentResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateFeatureGroupRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateFeatureGroupResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateFeatureMetadataRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateHubRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateHubResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateImageRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateImageResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateImageVersionRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateImageVersionResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateInferenceComponentInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateInferenceComponentOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateInferenceComponentRuntimeConfigInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateInferenceComponentRuntimeConfigOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateInferenceExperimentRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateInferenceExperimentResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateMlflowTrackingServerRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateMlflowTrackingServerResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateModelCardRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateModelCardResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateModelPackageInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateModelPackageOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateMonitoringAlertRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateMonitoringAlertResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateMonitoringScheduleRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateMonitoringScheduleResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateNotebookInstanceInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateNotebookInstanceLifecycleConfigInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateNotebookInstanceLifecycleConfigOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateNotebookInstanceOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdatePartnerAppRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdatePartnerAppResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdatePipelineExecutionRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdatePipelineExecutionResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdatePipelineRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdatePipelineResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateProjectInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateProjectOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateSpaceRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateSpaceResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateTrainingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateTrainingJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateTrialComponentRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateTrialComponentResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateTrialRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateTrialResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateUserProfileRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateUserProfileResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateWorkforceRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateWorkforceResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateWorkteamRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateWorkteamResponse' => [ 'base' => NULL, 'refs' => [], ], 'Url' => [ 'base' => NULL, 'refs' => [ 'AutoMLContainerDefinition$ModelDataUrl' => 'The location of the model artifacts. For more information, see ContainerDefinition.
', 'ClarifyShapBaselineConfig$ShapBaselineUri' => 'The uniform resource identifier (URI) of the S3 bucket where the SHAP baseline file is stored. The format of the SHAP baseline file should be the same format as the format of the training dataset. For example, if the training dataset is in CSV format, and each record in the training dataset has four features, and all features are numerical, then the baseline file should also have this same format. Each record should contain only the features. If you are using a virtual private cloud (VPC), the ShapBaselineUri should be accessible to the VPC. For more information about setting up endpoints with Amazon Virtual Private Cloud, see Give SageMaker access to Resources in your Amazon Virtual Private Cloud.
The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix). The S3 path is required for SageMaker built-in algorithms, but not if you use your own algorithms. For more information on built-in algorithms, see Common Parameters.
The model artifacts must be in an S3 bucket that is in the same region as the model or endpoint you are creating.
If you provide a value for this parameter, SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provide. Amazon Web Services STS is activated in your Amazon Web Services account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.
If you use a built-in algorithm to create a model, SageMaker requires that you provide a S3 path to the model artifacts in ModelDataUrl.
The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
', 'InferenceComponentContainerSpecificationSummary$ArtifactUrl' => 'The Amazon S3 path where the model artifacts are stored.
', 'ModelPackageContainerDefinition$ModelDataUrl' => 'The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
The model artifacts must be in an S3 bucket that is in the same region as the model package.
The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
The model artifacts must be in an S3 bucket that is in the same Amazon Web Services region as the algorithm.
Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
', 'refs' => [ 'AssociationSummary$CreatedBy' => NULL, 'DescribeActionResponse$CreatedBy' => NULL, 'DescribeActionResponse$LastModifiedBy' => NULL, 'DescribeArtifactResponse$CreatedBy' => NULL, 'DescribeArtifactResponse$LastModifiedBy' => NULL, 'DescribeClusterSchedulerConfigResponse$CreatedBy' => NULL, 'DescribeClusterSchedulerConfigResponse$LastModifiedBy' => NULL, 'DescribeComputeQuotaResponse$CreatedBy' => NULL, 'DescribeComputeQuotaResponse$LastModifiedBy' => NULL, 'DescribeContextResponse$CreatedBy' => NULL, 'DescribeContextResponse$LastModifiedBy' => NULL, 'DescribeExperimentResponse$CreatedBy' => 'Who created the experiment.
', 'DescribeExperimentResponse$LastModifiedBy' => 'Who last modified the experiment.
', 'DescribeLineageGroupResponse$CreatedBy' => NULL, 'DescribeLineageGroupResponse$LastModifiedBy' => NULL, 'DescribeMlflowTrackingServerResponse$CreatedBy' => NULL, 'DescribeMlflowTrackingServerResponse$LastModifiedBy' => NULL, 'DescribeModelCardResponse$CreatedBy' => NULL, 'DescribeModelCardResponse$LastModifiedBy' => NULL, 'DescribeModelPackageGroupOutput$CreatedBy' => NULL, 'DescribeModelPackageOutput$CreatedBy' => NULL, 'DescribeModelPackageOutput$LastModifiedBy' => NULL, 'DescribePipelineExecutionResponse$CreatedBy' => NULL, 'DescribePipelineExecutionResponse$LastModifiedBy' => NULL, 'DescribePipelineResponse$CreatedBy' => NULL, 'DescribePipelineResponse$LastModifiedBy' => NULL, 'DescribeProjectOutput$CreatedBy' => NULL, 'DescribeProjectOutput$LastModifiedBy' => NULL, 'DescribeTrialComponentResponse$CreatedBy' => 'Who created the trial component.
', 'DescribeTrialComponentResponse$LastModifiedBy' => 'Who last modified the component.
', 'DescribeTrialResponse$CreatedBy' => 'Who created the trial.
', 'DescribeTrialResponse$LastModifiedBy' => 'Who last modified the trial.
', 'Experiment$CreatedBy' => 'Who created the experiment.
', 'Experiment$LastModifiedBy' => NULL, 'ModelCard$CreatedBy' => NULL, 'ModelCard$LastModifiedBy' => NULL, 'ModelDashboardModelCard$CreatedBy' => NULL, 'ModelDashboardModelCard$LastModifiedBy' => NULL, 'ModelPackage$CreatedBy' => 'Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.
', 'ModelPackage$LastModifiedBy' => 'Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.
', 'ModelPackageGroup$CreatedBy' => NULL, 'Pipeline$CreatedBy' => NULL, 'Pipeline$LastModifiedBy' => NULL, 'PipelineExecution$CreatedBy' => NULL, 'PipelineExecution$LastModifiedBy' => NULL, 'Project$CreatedBy' => 'Who created the project.
', 'Project$LastModifiedBy' => NULL, 'Trial$CreatedBy' => 'Who created the trial.
', 'Trial$LastModifiedBy' => NULL, 'TrialComponent$CreatedBy' => 'Who created the trial component.
', 'TrialComponent$LastModifiedBy' => NULL, 'TrialComponentSimpleSummary$CreatedBy' => NULL, 'TrialComponentSummary$CreatedBy' => 'Who created the trial component.
', 'TrialComponentSummary$LastModifiedBy' => 'Who last modified the component.
', ], ], 'UserProfileArn' => [ 'base' => NULL, 'refs' => [ 'CreateUserProfileResponse$UserProfileArn' => 'The user profile Amazon Resource Name (ARN).
', 'DescribeUserProfileResponse$UserProfileArn' => 'The user profile Amazon Resource Name (ARN).
', 'UpdateUserProfileResponse$UserProfileArn' => 'The user profile Amazon Resource Name (ARN).
', ], ], 'UserProfileDetails' => [ 'base' => 'The user profile details.
', 'refs' => [ 'UserProfileList$member' => NULL, ], ], 'UserProfileList' => [ 'base' => NULL, 'refs' => [ 'ListUserProfilesResponse$UserProfiles' => 'The list of user profiles.
', ], ], 'UserProfileName' => [ 'base' => NULL, 'refs' => [ 'AppDetails$UserProfileName' => 'The user profile name.
', 'CreateAppRequest$UserProfileName' => 'The user profile name. If this value is not set, then SpaceName must be set.
The name of the UserProfile to sign-in as.
', 'CreateUserProfileRequest$UserProfileName' => 'A name for the UserProfile. This value is not case sensitive.
', 'DeleteAppRequest$UserProfileName' => 'The user profile name. If this value is not set, then SpaceName must be set.
The user profile name.
', 'DescribeAppRequest$UserProfileName' => 'The user profile name. If this value is not set, then SpaceName must be set.
The user profile name.
', 'DescribeUserProfileRequest$UserProfileName' => 'The user profile name. This value is not case sensitive.
', 'DescribeUserProfileResponse$UserProfileName' => 'The user profile name.
', 'ListAppsRequest$UserProfileNameEquals' => 'A parameter to search by user profile name. If SpaceNameEquals is set, then this value cannot be set.
A parameter by which to filter the results.
', 'OwnershipSettings$OwnerUserProfileName' => 'The user profile who is the owner of the space.
', 'OwnershipSettingsSummary$OwnerUserProfileName' => 'The user profile who is the owner of the space.
', 'UpdateUserProfileRequest$UserProfileName' => 'The user profile name.
', 'UserProfileDetails$UserProfileName' => 'The user profile name.
', ], ], 'UserProfileSortKey' => [ 'base' => NULL, 'refs' => [ 'ListUserProfilesRequest$SortBy' => 'The parameter by which to sort the results. The default is CreationTime.
', ], ], 'UserProfileStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeUserProfileResponse$Status' => 'The status.
', 'UserProfileDetails$Status' => 'The status.
', ], ], 'UserSettings' => [ 'base' => 'A collection of settings that apply to users in a domain. These settings are specified when the CreateUserProfile API is called, and as DefaultUserSettings when the CreateDomain API is called.
SecurityGroups is aggregated when specified in both calls. For all other settings in UserSettings, the values specified in CreateUserProfile take precedence over those specified in CreateDomain.
The default settings to use to create a user profile when UserSettings isn\'t specified in the call to the CreateUserProfile API.
SecurityGroups is aggregated when specified in both calls. For all other settings in UserSettings, the values specified in CreateUserProfile take precedence over those specified in CreateDomain.
A collection of settings.
', 'DescribeDomainResponse$DefaultUserSettings' => 'Settings which are applied to UserProfiles in this domain if settings are not explicitly specified in a given UserProfile.
', 'DescribeUserProfileResponse$UserSettings' => 'A collection of settings.
', 'UpdateDomainRequest$DefaultUserSettings' => 'A collection of settings.
', 'UpdateUserProfileRequest$UserSettings' => 'A collection of settings.
', ], ], 'UsersPerStep' => [ 'base' => NULL, 'refs' => [ 'Stairs$UsersPerStep' => 'Specifies how many new users to spawn in each step.
', ], ], 'UtilizationMetric' => [ 'base' => NULL, 'refs' => [ 'RecommendationMetrics$CpuUtilization' => 'The expected CPU utilization at maximum invocations per minute for the instance.
NaN indicates that the value is not available.
The expected memory utilization at maximum invocations per minute for the instance.
NaN indicates that the value is not available.
The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.
', 'GetScalingConfigurationRecommendationResponse$TargetCpuUtilizationPerCore' => 'The percentage of how much utilization you want an instance to use before autoscaling, which you specified in the request. The default value is 50%.
', ], ], 'ValidationFraction' => [ 'base' => NULL, 'refs' => [ 'AutoMLDataSplitConfig$ValidationFraction' => 'The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation. The default value is 0.2, and values must be greater than 0 and less than 1. We recommend setting this value to be less than 0.5.
', ], ], 'VariantName' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceComponentInput$VariantName' => 'The name of an existing production variant where you host the inference component.
', 'DescribeInferenceComponentOutput$VariantName' => 'The name of the production variant that hosts the inference component.
', 'DesiredWeightAndCapacity$VariantName' => 'The name of the variant to update.
', 'InferenceComponentSummary$VariantName' => 'The name of the production variant that hosts the inference component.
', 'ListInferenceComponentsInput$VariantNameEquals' => 'A production variant name to filter the listed inference components. The response includes only those inference components that are hosted at the specified variant.
', 'PendingProductionVariantSummary$VariantName' => 'The name of the variant.
', 'ProductionVariant$VariantName' => 'The name of the production variant.
', 'ProductionVariantSummary$VariantName' => 'The name of the variant.
', ], ], 'VariantProperty' => [ 'base' => 'Specifies a production variant property type for an Endpoint.
If you are updating an endpoint with the RetainAllVariantProperties option of UpdateEndpointInput set to true, the VariantProperty objects listed in the ExcludeRetainedVariantProperties parameter of UpdateEndpointInput override the existing variant properties of the endpoint.
When you are updating endpoint resources with RetainAllVariantProperties, whose value is set to true, ExcludeRetainedVariantProperties specifies the list of type VariantProperty to override with the values provided by EndpointConfig. If you don\'t specify a value for ExcludeRetainedVariantProperties, no variant properties are overridden.
The type of variant property. The supported values are:
DesiredInstanceCount: Overrides the existing variant instance counts using the InitialInstanceCount values in the ProductionVariants of CreateEndpointConfig.
DesiredWeight: Overrides the existing variant weights using the InitialVariantWeight values in the ProductionVariants of CreateEndpointConfig.
DataCaptureConfig: (Not currently supported.)
The endpoint variant status which describes the current deployment stage status or operational status.
Creating: Creating inference resources for the production variant.
Deleting: Terminating inference resources for the production variant.
Updating: Updating capacity for the production variant.
ActivatingTraffic: Turning on traffic for the production variant.
Baking: Waiting period to monitor the CloudWatch alarms in the automatic rollback configuration.
A message that describes the status of the production variant.
', ], ], 'VariantWeight' => [ 'base' => NULL, 'refs' => [ 'DesiredWeightAndCapacity$DesiredWeight' => 'The variant\'s weight.
', 'PendingProductionVariantSummary$CurrentWeight' => 'The weight associated with the variant.
', 'PendingProductionVariantSummary$DesiredWeight' => 'The requested weight for the variant in this deployment, as specified in the endpoint configuration for the endpoint. The value is taken from the request to the CreateEndpointConfig operation.
', 'ProductionVariant$InitialVariantWeight' => 'Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.
The weight associated with the variant.
', 'ProductionVariantSummary$DesiredWeight' => 'The requested weight, as specified in the UpdateEndpointWeightsAndCapacities request.
Configuration for your vector collection type.
', 'refs' => [ 'CollectionConfig$VectorConfig' => 'Configuration for your vector collection type.
Dimension: The number of elements in your vector.
The stability of the image version, specified by the maintainer.
NOT_PROVIDED: The maintainers did not provide a status for image version stability.
STABLE: The image version is stable.
TO_BE_ARCHIVED: The image version is set to be archived. Custom image versions that are set to be archived are automatically archived after three months.
ARCHIVED: The image version is archived. Archived image versions are not searchable and are no longer actively supported.
The stability of the image version specified by the maintainer.
NOT_PROVIDED: The maintainers did not provide a status for image version stability.
STABLE: The image version is stable.
TO_BE_ARCHIVED: The image version is set to be archived. Custom image versions that are set to be archived are automatically archived after three months.
ARCHIVED: The image version is archived. Archived image versions are not searchable and are no longer actively supported.
The availability of the image version specified by the maintainer.
NOT_PROVIDED: The maintainers did not provide a status for image version stability.
STABLE: The image version is stable.
TO_BE_ARCHIVED: The image version is set to be archived. Custom image versions that are set to be archived are automatically archived after three months.
ARCHIVED: The image version is archived. Archived image versions are not searchable and are no longer actively supported.
The version aliases you are hiding from the Studio user interface.
', ], ], 'VersionId' => [ 'base' => NULL, 'refs' => [ 'PipelineDefinitionS3Location$VersionId' => 'Version Id of the pipeline definition file. If not specified, Amazon SageMaker will retrieve the latest version.
', ], ], 'VersionedArnOrName' => [ 'base' => NULL, 'refs' => [ 'ContainerDefinition$ModelPackageName' => 'The name or Amazon Resource Name (ARN) of the model package to use to create the model.
', 'DeleteModelPackageInput$ModelPackageName' => 'The name or Amazon Resource Name (ARN) of the model package to delete.
When you specify a name, the name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
', 'DescribeModelPackageInput$ModelPackageName' => 'The name or Amazon Resource Name (ARN) of the model package to describe.
When you specify a name, the name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
', ], ], 'Vertex' => [ 'base' => 'A lineage entity connected to the starting entity(ies).
', 'refs' => [ 'Vertices$member' => NULL, ], ], 'Vertices' => [ 'base' => NULL, 'refs' => [ 'QueryLineageResponse$Vertices' => 'A list of vertices connected to the start entity(ies) in the lineage graph.
', ], ], 'VisibilityConditions' => [ 'base' => 'The list of key-value pairs used to filter your search results. If a search result contains a key from your list, it is included in the final search response if the value associated with the key in the result matches the value you specified. If the value doesn\'t match, the result is excluded from the search response. Any resources that don\'t have a key from the list that you\'ve provided will also be included in the search response.
', 'refs' => [ 'VisibilityConditionsList$member' => NULL, ], ], 'VisibilityConditionsKey' => [ 'base' => NULL, 'refs' => [ 'VisibilityConditions$Key' => 'The key that specifies the tag that you\'re using to filter the search results. It must be in the following format: Tags.<key>.
Limits the results of your search request to the resources that you can access.
', ], ], 'VisibilityConditionsValue' => [ 'base' => NULL, 'refs' => [ 'VisibilityConditions$Value' => 'The value for the tag that you\'re using to filter the search results.
', ], ], 'VolumeSizeInGB' => [ 'base' => NULL, 'refs' => [ 'HyperParameterTuningInstanceConfig$VolumeSizeInGB' => 'The volume size in GB of the data to be processed for hyperparameter optimization (optional).
', 'ResourceConfig$VolumeSizeInGB' => 'The size of the ML storage volume that you want to provision.
ML storage volumes store model artifacts and incremental states. Training algorithms might also use the ML storage volume for scratch space. If you want to store the training data in the ML storage volume, choose File as the TrainingInputMode in the algorithm specification.
When using an ML instance with NVMe SSD volumes, SageMaker doesn\'t provision Amazon EBS General Purpose SSD (gp2) storage. Available storage is fixed to the NVMe-type instance\'s storage capacity. SageMaker configures storage paths for training datasets, checkpoints, model artifacts, and outputs to use the entire capacity of the instance storage. For example, ML instance families with the NVMe-type instance storage include ml.p4d, ml.g4dn, and ml.g5.
When using an ML instance with the EBS-only storage option and without instance storage, you must define the size of EBS volume through VolumeSizeInGB in the ResourceConfig API. For example, ML instance families that use EBS volumes include ml.c5 and ml.p2.
To look up instance types and their instance storage types and volumes, see Amazon EC2 Instance Types.
To find the default local paths defined by the SageMaker training platform, see Amazon SageMaker Training Storage Folders for Training Datasets, Checkpoints, Model Artifacts, and Outputs.
', ], ], 'VpcConfig' => [ 'base' => 'Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to. You can control access to and from your resources by configuring a VPC. For more information, see Give SageMaker Access to Resources in your Amazon VPC.
', 'refs' => [ 'AutoMLSecurityConfig$VpcConfig' => 'The VPC configuration.
', 'ClusterInstanceGroupDetails$OverrideVpcConfig' => NULL, 'ClusterInstanceGroupSpecification$OverrideVpcConfig' => NULL, 'ClusterNodeDetails$OverrideVpcConfig' => NULL, 'CreateClusterRequest$VpcConfig' => NULL, 'CreateEndpointConfigInput$VpcConfig' => NULL, 'CreateModelInput$VpcConfig' => 'A VpcConfig object that specifies the VPC that you want your model to connect to. Control access to and from your model container by configuring the VPC. VpcConfig is used in hosting services and in batch transform. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud and Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud.
A VpcConfig object that specifies the VPC that you want your training job to connect to. Control access to and from your training container by configuring the VPC. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
', 'DescribeClusterResponse$VpcConfig' => NULL, 'DescribeEndpointConfigOutput$VpcConfig' => NULL, 'DescribeModelOutput$VpcConfig' => 'A VpcConfig object that specifies the VPC that this model has access to. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud
', 'DescribeTrainingJobResponse$VpcConfig' => 'A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
', 'HyperParameterTrainingJobDefinition$VpcConfig' => 'The VpcConfig object that specifies the VPC that you want the training jobs that this hyperparameter tuning job launches to connect to. Control access to and from your training container by configuring the VPC. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
', 'LabelingJobResourceConfig$VpcConfig' => NULL, 'Model$VpcConfig' => NULL, 'MonitoringNetworkConfig$VpcConfig' => NULL, 'NetworkConfig$VpcConfig' => NULL, 'TrainingJob$VpcConfig' => 'A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
', ], ], 'VpcId' => [ 'base' => NULL, 'refs' => [ 'CreateDomainRequest$VpcId' => 'The ID of the Amazon Virtual Private Cloud (VPC) that the domain uses for communication.
', 'DescribeDomainResponse$VpcId' => 'The ID of the Amazon Virtual Private Cloud (VPC) that the domain uses for communication.
', ], ], 'VpcOnlyTrustedAccounts' => [ 'base' => NULL, 'refs' => [ 'DockerSettings$VpcOnlyTrustedAccounts' => 'The list of Amazon Web Services accounts that are trusted when the domain is created in VPC-only mode.
', ], ], 'VpcSecurityGroupIds' => [ 'base' => NULL, 'refs' => [ 'VpcConfig$SecurityGroupIds' => 'The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
The length of the baking period, during which SageMaker monitors alarms for each batch on the new fleet.
', 'TrafficRoutingConfig$WaitIntervalInSeconds' => 'The waiting time (in seconds) between incremental steps to turn on traffic on the new endpoint fleet.
', ], ], 'WarmPoolResourceStatus' => [ 'base' => NULL, 'refs' => [ 'ListTrainingJobsRequest$WarmPoolStatusEquals' => 'A filter that retrieves only training jobs with a specific warm pool status.
', 'WarmPoolStatus$Status' => 'The status of the warm pool.
InUse: The warm pool is in use for the training job.
Available: The warm pool is available to reuse for a matching training job.
Reused: The warm pool moved to a matching training job for reuse.
Terminated: The warm pool is no longer available. Warm pools are unavailable if they are terminated by a user, terminated for a patch update, or terminated for exceeding the specified KeepAlivePeriodInSeconds.
Status and billing information about the warm pool.
', 'refs' => [ 'DescribeTrainingJobResponse$WarmPoolStatus' => 'The status of the warm pool associated with the training job.
', 'TrainingJobSummary$WarmPoolStatus' => 'The status of the warm pool associated with the training job.
', ], ], 'WeeklyMaintenanceWindowStart' => [ 'base' => NULL, 'refs' => [ 'CreateMlflowTrackingServerRequest$WeeklyMaintenanceWindowStart' => 'The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: TUE:03:30.
', 'DescribeMlflowTrackingServerResponse$WeeklyMaintenanceWindowStart' => 'The day and time of the week when weekly maintenance occurs on the described tracking server.
', 'UpdateMlflowTrackingServerRequest$WeeklyMaintenanceWindowStart' => 'The new weekly maintenance window start day and time to update. The maintenance window day and time should be in Coordinated Universal Time (UTC) 24-hour standard time. For example: TUE:03:30.
', ], ], 'WeeklyScheduleTimeFormat' => [ 'base' => NULL, 'refs' => [ 'PartnerAppMaintenanceConfig$MaintenanceWindowStart' => 'The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. This value must take the following format: 3-letter-day:24-h-hour:minute. For example: TUE:03:30.
Use this optional parameter to constrain access to an Amazon S3 resource based on the IP address using supported IAM global condition keys. The Amazon S3 resource is accessed in the worker portal using a Amazon S3 presigned URL.
', 'refs' => [ 'CreateWorkteamRequest$WorkerAccessConfiguration' => 'Use this optional parameter to constrain access to an Amazon S3 resource based on the IP address using supported IAM global condition keys. The Amazon S3 resource is accessed in the worker portal using a Amazon S3 presigned URL.
', 'UpdateWorkteamRequest$WorkerAccessConfiguration' => 'Use this optional parameter to constrain access to an Amazon S3 resource based on the IP address using supported IAM global condition keys. The Amazon S3 resource is accessed in the worker portal using a Amazon S3 presigned URL.
', 'Workteam$WorkerAccessConfiguration' => 'Describes any access constraints that have been defined for Amazon S3 resources.
', ], ], 'Workforce' => [ 'base' => 'A single private workforce, which is automatically created when you create your first private work team. You can create one private work force in each Amazon Web Services Region. By default, any workforce-related API operation used in a specific region will apply to the workforce created in that region. To learn how to create a private workforce, see Create a Private Workforce.
', 'refs' => [ 'DescribeWorkforceResponse$Workforce' => 'A single private workforce, which is automatically created when you create your first private work team. You can create one private work force in each Amazon Web Services Region. By default, any workforce-related API operation used in a specific region will apply to the workforce created in that region. To learn how to create a private workforce, see Create a Private Workforce.
', 'UpdateWorkforceResponse$Workforce' => 'A single private workforce. You can create one private work force in each Amazon Web Services Region. By default, any workforce-related API operation used in a specific region will apply to the workforce created in that region. To learn how to create a private workforce, see Create a Private Workforce.
', 'Workforces$member' => NULL, ], ], 'WorkforceArn' => [ 'base' => NULL, 'refs' => [ 'CreateWorkforceResponse$WorkforceArn' => 'The Amazon Resource Name (ARN) of the workforce.
', 'Workforce$WorkforceArn' => 'The Amazon Resource Name (ARN) of the private workforce.
', 'Workteam$WorkforceArn' => 'The Amazon Resource Name (ARN) of the workforce.
', ], ], 'WorkforceFailureReason' => [ 'base' => NULL, 'refs' => [ 'Workforce$FailureReason' => 'The reason your workforce failed.
', ], ], 'WorkforceName' => [ 'base' => NULL, 'refs' => [ 'CreateWorkforceRequest$WorkforceName' => 'The name of the private workforce.
', 'CreateWorkteamRequest$WorkforceName' => 'The name of the workforce.
', 'DeleteWorkforceRequest$WorkforceName' => 'The name of the workforce.
', 'DescribeWorkforceRequest$WorkforceName' => 'The name of the private workforce whose access you want to restrict. WorkforceName is automatically set to default when a workforce is created and cannot be modified.
A filter you can use to search for workforces using part of the workforce name.
', 'UpdateWorkforceRequest$WorkforceName' => 'The name of the private workforce that you want to update. You can find your workforce name by using the ListWorkforces operation.
', 'Workforce$WorkforceName' => 'The name of the private workforce.
', ], ], 'WorkforceSecurityGroupId' => [ 'base' => NULL, 'refs' => [ 'WorkforceSecurityGroupIds$member' => NULL, ], ], 'WorkforceSecurityGroupIds' => [ 'base' => NULL, 'refs' => [ 'WorkforceVpcConfigRequest$SecurityGroupIds' => 'The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.
The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.
', ], ], 'WorkforceStatus' => [ 'base' => NULL, 'refs' => [ 'Workforce$Status' => 'The status of your workforce.
', ], ], 'WorkforceSubnetId' => [ 'base' => NULL, 'refs' => [ 'WorkforceSubnets$member' => NULL, ], ], 'WorkforceSubnets' => [ 'base' => NULL, 'refs' => [ 'WorkforceVpcConfigRequest$Subnets' => 'The ID of the subnets in the VPC that you want to connect.
', 'WorkforceVpcConfigResponse$Subnets' => 'The ID of the subnets in the VPC that you want to connect.
', ], ], 'WorkforceVpcConfigRequest' => [ 'base' => 'The VPC object you use to create or update a workforce.
', 'refs' => [ 'CreateWorkforceRequest$WorkforceVpcConfig' => 'Use this parameter to configure a workforce using VPC.
', 'UpdateWorkforceRequest$WorkforceVpcConfig' => 'Use this parameter to update your VPC configuration for a workforce.
', ], ], 'WorkforceVpcConfigResponse' => [ 'base' => 'A VpcConfig object that specifies the VPC that you want your workforce to connect to.
', 'refs' => [ 'Workforce$WorkforceVpcConfig' => 'The configuration of a VPC workforce.
', ], ], 'WorkforceVpcEndpointId' => [ 'base' => NULL, 'refs' => [ 'WorkforceVpcConfigResponse$VpcEndpointId' => 'The IDs for the VPC service endpoints of your VPC workforce when it is created and updated.
', ], ], 'WorkforceVpcId' => [ 'base' => NULL, 'refs' => [ 'WorkforceVpcConfigRequest$VpcId' => 'The ID of the VPC that the workforce uses for communication.
', 'WorkforceVpcConfigResponse$VpcId' => 'The ID of the VPC that the workforce uses for communication.
', ], ], 'Workforces' => [ 'base' => NULL, 'refs' => [ 'ListWorkforcesResponse$Workforces' => 'A list containing information about your workforce.
', ], ], 'WorkspaceSettings' => [ 'base' => 'The workspace settings for the SageMaker Canvas application.
', 'refs' => [ 'CanvasAppSettings$WorkspaceSettings' => 'The workspace settings for the SageMaker Canvas application.
', ], ], 'Workteam' => [ 'base' => 'Provides details about a labeling work team.
', 'refs' => [ 'DescribeWorkteamResponse$Workteam' => 'A Workteam instance that contains information about the work team.
A Workteam object that describes the updated work team.
The Amazon Resource Name (ARN) of the work team. You can use this ARN to identify the work team.
', 'DescribeSubscribedWorkteamRequest$WorkteamArn' => 'The Amazon Resource Name (ARN) of the subscribed work team to describe.
', 'HumanLoopConfig$WorkteamArn' => 'Amazon Resource Name (ARN) of a team of workers. To learn more about the types of workforces and work teams you can create and use with Amazon A2I, see Create and Manage Workforces.
', 'HumanTaskConfig$WorkteamArn' => 'The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
', 'LabelingJobSummary$WorkteamArn' => 'The Amazon Resource Name (ARN) of the work team assigned to the job.
', 'ListLabelingJobsForWorkteamRequest$WorkteamArn' => 'The Amazon Resource Name (ARN) of the work team for which you want to see labeling jobs for.
', 'SubscribedWorkteam$WorkteamArn' => 'The Amazon Resource Name (ARN) of the vendor that you have subscribed.
', 'Workteam$WorkteamArn' => 'The Amazon Resource Name (ARN) that identifies the work team.
', ], ], 'WorkteamName' => [ 'base' => NULL, 'refs' => [ 'CreateWorkteamRequest$WorkteamName' => 'The name of the work team. Use this name to identify the work team.
', 'DeleteWorkteamRequest$WorkteamName' => 'The name of the work team to delete.
', 'DescribeWorkteamRequest$WorkteamName' => 'The name of the work team to return a description of.
', 'ListSubscribedWorkteamsRequest$NameContains' => 'A string in the work team name. This filter returns only work teams whose name contains the specified string.
', 'ListWorkteamsRequest$NameContains' => 'A string in the work team\'s name. This filter returns only work teams whose name contains the specified string.
', 'UpdateWorkteamRequest$WorkteamName' => 'The name of the work team to update.
', 'Workteam$WorkteamName' => 'The name of the work team.
', ], ], 'Workteams' => [ 'base' => NULL, 'refs' => [ 'ListWorkteamsResponse$Workteams' => 'An array of Workteam objects, each describing a work team.
Provides APIs for creating and managing SageMaker resources.
Other Resources:
', 'operations' => [ 'AddAssociation' => 'Creates an association between the source and the destination. A source can be associated with multiple destinations, and a destination can be associated with multiple sources. An association is a lineage tracking entity. For more information, see Amazon SageMaker ML Lineage Tracking.
', 'AddTags' => 'Adds or overwrites one or more tags for the specified SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints.
Each tag consists of a key and an optional value. Tag keys must be unique per resource. For more information about tags, see For more information, see Amazon Web Services Tagging Strategies.
Tags that you add to a hyperparameter tuning job by calling this API are also added to any training jobs that the hyperparameter tuning job launches after you call this API, but not to training jobs that the hyperparameter tuning job launched before you called this API. To make sure that the tags associated with a hyperparameter tuning job are also added to all training jobs that the hyperparameter tuning job launches, add the tags when you first create the tuning job by specifying them in the Tags parameter of CreateHyperParameterTuningJob
Tags that you add to a SageMaker Domain or User Profile by calling this API are also added to any Apps that the Domain or User Profile launches after you call this API, but not to Apps that the Domain or User Profile launched before you called this API. To make sure that the tags associated with a Domain or User Profile are also added to all Apps that the Domain or User Profile launches, add the tags when you first create the Domain or User Profile by specifying them in the Tags parameter of CreateDomain or CreateUserProfile.
Associates a trial component with a trial. A trial component can be associated with multiple trials. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
', 'BatchDeleteClusterNodes' => 'Deletes specific nodes within a SageMaker HyperPod cluster. BatchDeleteClusterNodes accepts a cluster name and a list of node IDs.
To safeguard your work, back up your data to Amazon S3 or an FSx for Lustre file system before invoking the API on a worker node group. This will help prevent any potential data loss from the instance root volume. For more information about backup, see Use the backup script provided by SageMaker HyperPod.
If you want to invoke this API on an existing cluster, you\'ll first need to patch the cluster by running the UpdateClusterSoftware API. For more information about patching a cluster, see Update the SageMaker HyperPod platform software of a cluster.
This action batch describes a list of versioned model packages
', 'CreateAction' => 'Creates an action. An action is a lineage tracking entity that represents an action or activity. For example, a model deployment or an HPO job. Generally, an action involves at least one input or output artifact. For more information, see Amazon SageMaker ML Lineage Tracking.
', 'CreateAlgorithm' => 'Create a machine learning algorithm that you can use in SageMaker and list in the Amazon Web Services Marketplace.
', 'CreateApp' => 'Creates a running app for the specified UserProfile. This operation is automatically invoked by Amazon SageMaker AI upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously.
', 'CreateAppImageConfig' => 'Creates a configuration for running a SageMaker AI image as a KernelGateway app. The configuration specifies the Amazon Elastic File System storage volume on the image, and a list of the kernels in the image.
', 'CreateArtifact' => 'Creates an artifact. An artifact is a lineage tracking entity that represents a URI addressable object or data. Some examples are the S3 URI of a dataset and the ECR registry path of an image. For more information, see Amazon SageMaker ML Lineage Tracking.
', 'CreateAutoMLJob' => 'Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.
An AutoML job in SageMaker AI is a fully automated process that allows you to build machine learning models with minimal effort and machine learning expertise. When initiating an AutoML job, you provide your data and optionally specify parameters tailored to your use case. SageMaker AI then automates the entire model development lifecycle, including data preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify and accelerate the model building process by automating various tasks and exploring different combinations of machine learning algorithms, data preprocessing techniques, and hyperparameter values. The output of an AutoML job comprises one or more trained models ready for deployment and inference. Additionally, SageMaker AI AutoML jobs generate a candidate model leaderboard, allowing you to select the best-performing model for deployment.
For more information about AutoML jobs, see https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html in the SageMaker AI developer guide.
We recommend using the new versions CreateAutoMLJobV2 and DescribeAutoMLJobV2, which offer backward compatibility.
CreateAutoMLJobV2 can manage tabular problem types identical to those of its previous version CreateAutoMLJob, as well as time-series forecasting, non-tabular problem types such as image or text classification, and text generation (LLMs fine-tuning).
Find guidelines about how to migrate a CreateAutoMLJob to CreateAutoMLJobV2 in Migrate a CreateAutoMLJob to CreateAutoMLJobV2.
You can find the best-performing model after you run an AutoML job by calling DescribeAutoMLJobV2 (recommended) or DescribeAutoMLJob.
', 'CreateAutoMLJobV2' => 'Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.
An AutoML job in SageMaker AI is a fully automated process that allows you to build machine learning models with minimal effort and machine learning expertise. When initiating an AutoML job, you provide your data and optionally specify parameters tailored to your use case. SageMaker AI then automates the entire model development lifecycle, including data preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify and accelerate the model building process by automating various tasks and exploring different combinations of machine learning algorithms, data preprocessing techniques, and hyperparameter values. The output of an AutoML job comprises one or more trained models ready for deployment and inference. Additionally, SageMaker AI AutoML jobs generate a candidate model leaderboard, allowing you to select the best-performing model for deployment.
For more information about AutoML jobs, see https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html in the SageMaker AI developer guide.
AutoML jobs V2 support various problem types such as regression, binary, and multiclass classification with tabular data, text and image classification, time-series forecasting, and fine-tuning of large language models (LLMs) for text generation.
CreateAutoMLJobV2 and DescribeAutoMLJobV2 are new versions of CreateAutoMLJob and DescribeAutoMLJob which offer backward compatibility.
CreateAutoMLJobV2 can manage tabular problem types identical to those of its previous version CreateAutoMLJob, as well as time-series forecasting, non-tabular problem types such as image or text classification, and text generation (LLMs fine-tuning).
Find guidelines about how to migrate a CreateAutoMLJob to CreateAutoMLJobV2 in Migrate a CreateAutoMLJob to CreateAutoMLJobV2.
For the list of available problem types supported by CreateAutoMLJobV2, see AutoMLProblemTypeConfig.
You can find the best-performing model after you run an AutoML job V2 by calling DescribeAutoMLJobV2.
', 'CreateCluster' => 'Creates a SageMaker HyperPod cluster. SageMaker HyperPod is a capability of SageMaker for creating and managing persistent clusters for developing large machine learning models, such as large language models (LLMs) and diffusion models. To learn more, see Amazon SageMaker HyperPod in the Amazon SageMaker Developer Guide.
', 'CreateClusterSchedulerConfig' => 'Create cluster policy configuration. This policy is used for task prioritization and fair-share allocation of idle compute. This helps prioritize critical workloads and distributes idle compute across entities.
', 'CreateCodeRepository' => 'Creates a Git repository as a resource in your SageMaker AI account. You can associate the repository with notebook instances so that you can use Git source control for the notebooks you create. The Git repository is a resource in your SageMaker AI account, so it can be associated with more than one notebook instance, and it persists independently from the lifecycle of any notebook instances it is associated with.
The repository can be hosted either in Amazon Web Services CodeCommit or in any other Git repository.
', 'CreateCompilationJob' => 'Starts a model compilation job. After the model has been compiled, Amazon SageMaker AI saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.
If you choose to host your model using Amazon SageMaker AI hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with Amazon Web Services IoT Greengrass. In that case, deploy them as an ML resource.
In the request body, you provide the following:
A name for the compilation job
Information about the input model artifacts
The output location for the compiled model and the device (target) that the model runs on
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker AI assumes to perform the model compilation job.
You can also provide a Tag to track the model compilation job\'s resource use and costs. The response body contains the CompilationJobArn for the compiled job.
To stop a model compilation job, use StopCompilationJob. To get information about a particular model compilation job, use DescribeCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
', 'CreateComputeQuota' => 'Create compute allocation definition. This defines how compute is allocated, shared, and borrowed for specified entities. Specifically, how to lend and borrow idle compute and assign a fair-share weight to the specified entities.
', 'CreateContext' => 'Creates a context. A context is a lineage tracking entity that represents a logical grouping of other tracking or experiment entities. Some examples are an endpoint and a model package. For more information, see Amazon SageMaker ML Lineage Tracking.
', 'CreateDataQualityJobDefinition' => 'Creates a definition for a job that monitors data quality and drift. For information about model monitor, see Amazon SageMaker AI Model Monitor.
', 'CreateDeviceFleet' => 'Creates a device fleet.
', 'CreateDomain' => 'Creates a Domain. A domain consists of an associated Amazon Elastic File System volume, a list of authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud (VPC) configurations. Users within a domain can share notebook files and other artifacts with each other.
EFS storage
When a domain is created, an EFS volume is created for use by all of the users within the domain. Each user receives a private home directory within the EFS volume for notebooks, Git repositories, and data files.
SageMaker AI uses the Amazon Web Services Key Management Service (Amazon Web Services KMS) to encrypt the EFS volume attached to the domain with an Amazon Web Services managed key by default. For more control, you can specify a customer managed key. For more information, see Protect Data at Rest Using Encryption.
VPC configuration
All traffic between the domain and the Amazon EFS volume is through the specified VPC and subnets. For other traffic, you can specify the AppNetworkAccessType parameter. AppNetworkAccessType corresponds to the network access type that you choose when you onboard to the domain. The following options are available:
PublicInternetOnly - Non-EFS traffic goes through a VPC managed by Amazon SageMaker AI, which allows internet access. This is the default value.
VpcOnly - All traffic is through the specified VPC and subnets. Internet access is disabled by default. To allow internet access, you must specify a NAT gateway.
When internet access is disabled, you won\'t be able to run a Amazon SageMaker AI Studio notebook or to train or host models unless your VPC has an interface endpoint to the SageMaker AI API and runtime or a NAT gateway and your security groups allow outbound connections.
NFS traffic over TCP on port 2049 needs to be allowed in both inbound and outbound rules in order to launch a Amazon SageMaker AI Studio app successfully.
For more information, see Connect Amazon SageMaker AI Studio Notebooks to Resources in a VPC.
', 'CreateEdgeDeploymentPlan' => 'Creates an edge deployment plan, consisting of multiple stages. Each stage may have a different deployment configuration and devices.
', 'CreateEdgeDeploymentStage' => 'Creates a new stage in an existing edge deployment plan.
', 'CreateEdgePackagingJob' => 'Starts a SageMaker Edge Manager model packaging job. Edge Manager will use the model artifacts from the Amazon Simple Storage Service bucket that you specify. After the model has been packaged, Amazon SageMaker saves the resulting artifacts to an S3 bucket that you specify.
', 'CreateEndpoint' => 'Creates an endpoint using the endpoint configuration specified in the request. SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API.
Use this API to deploy models using SageMaker hosting services.
You must not delete an EndpointConfig that is in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig.
The endpoint name must be unique within an Amazon Web Services Region in your Amazon Web Services account.
When it receives the request, SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them.
When you call CreateEndpoint, a load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a DynamoDB table supporting Eventually Consistent Reads , the response might not reflect the results of a recently completed write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB, this causes a validation error. If you repeat your read request after a short time, the response should return the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers call DescribeEndpointConfig before calling CreateEndpoint to minimize the potential impact of a DynamoDB eventually consistent read.
When SageMaker receives the request, it sets the endpoint status to Creating. After it creates the endpoint, it sets the status to InService. SageMaker can then process incoming requests for inferences. To check the status of an endpoint, use the DescribeEndpoint API.
If any of the models hosted at this endpoint get model data from an Amazon S3 location, SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provided. Amazon Web Services STS is activated in your Amazon Web Services account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.
To add the IAM role policies for using this API operation, go to the IAM console, and choose Roles in the left navigation pane. Search the IAM role that you want to grant access to use the CreateEndpoint and CreateEndpointConfig API operations, add the following policies to the role.
Option 1: For a full SageMaker access, search and attach the AmazonSageMakerFullAccess policy.
Option 2: For granting a limited access to an IAM role, paste the following Action elements manually into the JSON file of the IAM role:
"Action": ["sagemaker:CreateEndpoint", "sagemaker:CreateEndpointConfig"]
"Resource": [
"arn:aws:sagemaker:region:account-id:endpoint/endpointName"
"arn:aws:sagemaker:region:account-id:endpoint-config/endpointConfigName"
]
For more information, see SageMaker API Permissions: Actions, Permissions, and Resources Reference.
Creates an endpoint configuration that SageMaker hosting services uses to deploy models. In the configuration, you identify one or more models, created using the CreateModel API, to deploy and the resources that you want SageMaker to provision. Then you call the CreateEndpoint API.
Use this API if you want to use SageMaker hosting services to deploy models into production.
In the request, you define a ProductionVariant, for each model that you want to deploy. Each ProductionVariant parameter also describes the resources that you want SageMaker to provision. This includes the number and type of ML compute instances to deploy.
If you are hosting multiple models, you also assign a VariantWeight to specify how much traffic you want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign traffic weight 2 for model A and 1 for model B. SageMaker distributes two-thirds of the traffic to Model A, and one-third to model B.
When you call CreateEndpoint, a load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a DynamoDB table supporting Eventually Consistent Reads , the response might not reflect the results of a recently completed write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB, this causes a validation error. If you repeat your read request after a short time, the response should return the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers call DescribeEndpointConfig before calling CreateEndpoint to minimize the potential impact of a DynamoDB eventually consistent read.
Creates a SageMaker experiment. An experiment is a collection of trials that are observed, compared and evaluated as a group. A trial is a set of steps, called trial components, that produce a machine learning model.
In the Studio UI, trials are referred to as run groups and trial components are referred to as runs.
The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant.
When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to experiments, trials, trial components and then use the Search API to search for the tags.
To add a description to an experiment, specify the optional Description parameter. To add a description later, or to change the description, call the UpdateExperiment API.
To get a list of all your experiments, call the ListExperiments API. To view an experiment\'s properties, call the DescribeExperiment API. To get a list of all the trials associated with an experiment, call the ListTrials API. To create a trial call the CreateTrial API.
', 'CreateFeatureGroup' => 'Create a new FeatureGroup. A FeatureGroup is a group of Features defined in the FeatureStore to describe a Record.
The FeatureGroup defines the schema and features contained in the FeatureGroup. A FeatureGroup definition is composed of a list of Features, a RecordIdentifierFeatureName, an EventTimeFeatureName and configurations for its OnlineStore and OfflineStore. Check Amazon Web Services service quotas to see the FeatureGroups quota for your Amazon Web Services account.
Note that it can take approximately 10-15 minutes to provision an OnlineStore FeatureGroup with the InMemory StorageType.
You must include at least one of OnlineStoreConfig and OfflineStoreConfig to create a FeatureGroup.
Creates a flow definition.
', 'CreateHub' => 'Create a hub.
', 'CreateHubContentReference' => 'Create a hub content reference in order to add a model in the JumpStart public hub to a private hub.
', 'CreateHumanTaskUi' => 'Defines the settings you will use for the human review workflow user interface. Reviewers will see a three-panel interface with an instruction area, the item to review, and an input area.
', 'CreateHyperParameterTuningJob' => 'Starts a hyperparameter tuning job. A hyperparameter tuning job finds the best version of a model by running many training jobs on your dataset using the algorithm you choose and values for hyperparameters within ranges that you specify. It then chooses the hyperparameter values that result in a model that performs the best, as measured by an objective metric that you choose.
A hyperparameter tuning job automatically creates Amazon SageMaker experiments, trials, and trial components for each training job that it runs. You can view these entities in Amazon SageMaker Studio. For more information, see View Experiments, Trials, and Trial Components.
Do not include any security-sensitive information including account access IDs, secrets or tokens in any hyperparameter field. If the use of security-sensitive credentials are detected, SageMaker will reject your training job request and return an exception error.
Creates a custom SageMaker AI image. A SageMaker AI image is a set of image versions. Each image version represents a container image stored in Amazon ECR. For more information, see Bring your own SageMaker AI image.
', 'CreateImageVersion' => 'Creates a version of the SageMaker AI image specified by ImageName. The version represents the Amazon ECR container image specified by BaseImage.
Creates an inference component, which is a SageMaker AI hosting object that you can use to deploy a model to an endpoint. In the inference component settings, you specify the model, the endpoint, and how the model utilizes the resources that the endpoint hosts. You can optimize resource utilization by tailoring how the required CPU cores, accelerators, and memory are allocated. You can deploy multiple inference components to an endpoint, where each inference component contains one model and the resource utilization needs for that individual model. After you deploy an inference component, you can directly invoke the associated model when you use the InvokeEndpoint API action.
', 'CreateInferenceExperiment' => 'Creates an inference experiment using the configurations specified in the request.
Use this API to setup and schedule an experiment to compare model variants on a Amazon SageMaker inference endpoint. For more information about inference experiments, see Shadow tests.
Amazon SageMaker begins your experiment at the scheduled time and routes traffic to your endpoint\'s model variants based on your specified configuration.
While the experiment is in progress or after it has concluded, you can view metrics that compare your model variants. For more information, see View, monitor, and edit shadow tests.
', 'CreateInferenceRecommendationsJob' => 'Starts a recommendation job. You can create either an instance recommendation or load test job.
', 'CreateLabelingJob' => 'Creates a job that uses workers to label the data objects in your input dataset. You can use the labeled data to train machine learning models.
You can select your workforce from one of three providers:
A private workforce that you create. It can include employees, contractors, and outside experts. Use a private workforce when want the data to stay within your organization or when a specific set of skills is required.
One or more vendors that you select from the Amazon Web Services Marketplace. Vendors provide expertise in specific areas.
The Amazon Mechanical Turk workforce. This is the largest workforce, but it should only be used for public data or data that has been stripped of any personally identifiable information.
You can also use automated data labeling to reduce the number of data objects that need to be labeled by a human. Automated data labeling uses active learning to determine if a data object can be labeled by machine or if it needs to be sent to a human worker. For more information, see Using Automated Data Labeling.
The data objects to be labeled are contained in an Amazon S3 bucket. You create a manifest file that describes the location of each object. For more information, see Using Input and Output Data.
The output can be used as the manifest file for another labeling job or as training data for your machine learning models.
You can use this operation to create a static labeling job or a streaming labeling job. A static labeling job stops if all data objects in the input manifest file identified in ManifestS3Uri have been labeled. A streaming labeling job runs perpetually until it is manually stopped, or remains idle for 10 days. You can send new data objects to an active (InProgress) streaming labeling job in real time. To learn how to create a static labeling job, see Create a Labeling Job (API) in the Amazon SageMaker Developer Guide. To learn how to create a streaming labeling job, see Create a Streaming Labeling Job.
Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store. For more information, see Create an MLflow Tracking Server.
', 'CreateModel' => 'Creates a model in SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image that contains inference code, artifacts (from prior training), and a custom environment map that the inference code uses when you deploy the model for predictions.
Use this API to create a model if you want to use SageMaker hosting services or run a batch transform job.
To host your model, you create an endpoint configuration with the CreateEndpointConfig API, and then create an endpoint with the CreateEndpoint API. SageMaker then deploys all of the containers that you defined for the model in the hosting environment.
To run a batch transform using your model, you start a job with the CreateTransformJob API. SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.
In the request, you also provide an IAM role that SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other Amazon Web Services resources, you grant necessary permissions via this role.
', 'CreateModelBiasJobDefinition' => 'Creates the definition for a model bias job.
', 'CreateModelCard' => 'Creates an Amazon SageMaker Model Card.
For information about how to use model cards, see Amazon SageMaker Model Card.
', 'CreateModelCardExportJob' => 'Creates an Amazon SageMaker Model Card export job.
', 'CreateModelExplainabilityJobDefinition' => 'Creates the definition for a model explainability job.
', 'CreateModelPackage' => 'Creates a model package that you can use to create SageMaker models or list on Amazon Web Services Marketplace, or a versioned model that is part of a model group. Buyers can subscribe to model packages listed on Amazon Web Services Marketplace to create models in SageMaker.
To create a model package by specifying a Docker container that contains your inference code and the Amazon S3 location of your model artifacts, provide values for InferenceSpecification. To create a model from an algorithm resource that you created or subscribed to in Amazon Web Services Marketplace, provide a value for SourceAlgorithmSpecification.
There are two types of model packages:
Versioned - a model that is part of a model group in the model registry.
Unversioned - a model package that is not part of a model group.
Creates a model group. A model group contains a group of model versions.
', 'CreateModelQualityJobDefinition' => 'Creates a definition for a job that monitors model quality and drift. For information about model monitor, see Amazon SageMaker AI Model Monitor.
', 'CreateMonitoringSchedule' => 'Creates a schedule that regularly starts Amazon SageMaker AI Processing Jobs to monitor the data captured for an Amazon SageMaker AI Endpoint.
', 'CreateNotebookInstance' => 'Creates an SageMaker AI notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook.
In a CreateNotebookInstance request, specify the type of ML compute instance that you want to run. SageMaker AI launches the instance, installs common libraries that you can use to explore datasets for model training, and attaches an ML storage volume to the notebook instance.
SageMaker AI also provides a set of example notebooks. Each notebook demonstrates how to use SageMaker AI with a specific algorithm or with a machine learning framework.
After receiving the request, SageMaker AI does the following:
Creates a network interface in the SageMaker AI VPC.
(Option) If you specified SubnetId, SageMaker AI creates a network interface in your own VPC, which is inferred from the subnet ID that you provide in the input. When creating this network interface, SageMaker AI attaches the security group that you specified in the request to the network interface that it creates in your VPC.
Launches an EC2 instance of the type specified in the request in the SageMaker AI VPC. If you specified SubnetId of your VPC, SageMaker AI specifies both network interfaces when launching this instance. This enables inbound traffic from your own VPC to the notebook instance, assuming that the security groups allow it.
After creating the notebook instance, SageMaker AI returns its Amazon Resource Name (ARN). You can\'t change the name of a notebook instance after you create it.
After SageMaker AI creates the notebook instance, you can connect to the Jupyter server and work in Jupyter notebooks. For example, you can write code to explore a dataset that you can use for model training, train a model, host models by creating SageMaker AI endpoints, and validate hosted models.
For more information, see How It Works.
', 'CreateNotebookInstanceLifecycleConfig' => 'Creates a lifecycle configuration that you can associate with a notebook instance. A lifecycle configuration is a collection of shell scripts that run when you create or start a notebook instance.
Each lifecycle configuration script has a limit of 16384 characters.
The value of the $PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.
View Amazon CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances in log stream [notebook-instance-name]/[LifecycleConfigHook].
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
', 'CreateOptimizationJob' => 'Creates a job that optimizes a model for inference performance. To create the job, you provide the location of a source model, and you provide the settings for the optimization techniques that you want the job to apply. When the job completes successfully, SageMaker uploads the new optimized model to the output destination that you specify.
For more information about how to use this action, and about the supported optimization techniques, see Optimize model inference with Amazon SageMaker.
', 'CreatePartnerApp' => 'Creates an Amazon SageMaker Partner AI App.
', 'CreatePartnerAppPresignedUrl' => 'Creates a presigned URL to access an Amazon SageMaker Partner AI App.
', 'CreatePipeline' => 'Creates a pipeline using a JSON pipeline definition.
', 'CreatePresignedDomainUrl' => 'Creates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the user will be automatically signed in to the domain, and granted access to all of the Apps and files associated with the Domain\'s Amazon Elastic File System volume. This operation can only be called when the authentication mode equals IAM.
The IAM role or user passed to this API defines the permissions to access the app. Once the presigned URL is created, no additional permission is required to access this URL. IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the app.
You can restrict access to this API and to the URL that it returns to a list of IP addresses, Amazon VPCs or Amazon VPC Endpoints that you specify. For more information, see Connect to Amazon SageMaker AI Studio Through an Interface VPC Endpoint .
The URL that you get from a call to CreatePresignedDomainUrl has a default timeout of 5 minutes. You can configure this value using ExpiresInSeconds. If you try to use the URL after the timeout limit expires, you are directed to the Amazon Web Services console sign-in page.
The JupyterLab session default expiration time is 12 hours. You can configure this value using SessionExpirationDurationInSeconds.
Returns a presigned URL that you can use to connect to the MLflow UI attached to your tracking server. For more information, see Launch the MLflow UI using a presigned URL.
', 'CreatePresignedNotebookInstanceUrl' => 'Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the SageMaker AI console, when you choose Open next to a notebook instance, SageMaker AI opens a new tab showing the Jupyter server home page from the notebook instance. The console uses this API to get the URL and show the page.
The IAM role or user used to call this API defines the permissions to access the notebook instance. Once the presigned URL is created, no additional permission is required to access this URL. IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the notebook instance.
You can restrict access to this API and to the URL that it returns to a list of IP addresses that you specify. Use the NotIpAddress condition operator and the aws:SourceIP condition context key to specify the list of IP addresses that you want to have access to the notebook instance. For more information, see Limit Access to a Notebook Instance by IP Address.
The URL that you get from a call to CreatePresignedNotebookInstanceUrl is valid only for 5 minutes. If you try to use the URL after the 5-minute limit expires, you are directed to the Amazon Web Services console sign-in page.
Creates a processing job.
', 'CreateProject' => 'Creates a machine learning (ML) project that can contain one or more templates that set up an ML pipeline from training to deploying an approved model.
', 'CreateSpace' => 'Creates a private space or a space used for real time collaboration in a domain.
', 'CreateStudioLifecycleConfig' => 'Creates a new Amazon SageMaker AI Studio Lifecycle Configuration.
', 'CreateTrainingJob' => 'Starts a model training job. After training completes, SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.
If you choose to host your model using SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than SageMaker, provided that you know how to use them for inference.
In the request body, you provide the following:
AlgorithmSpecification - Identifies the training algorithm to use.
HyperParameters - Specify these algorithm-specific parameters to enable the estimation of model parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of hyperparameters for each training algorithm provided by SageMaker, see Algorithms.
Do not include any security-sensitive information including account access IDs, secrets or tokens in any hyperparameter field. If the use of security-sensitive credentials are detected, SageMaker will reject your training job request and return an exception error.
InputDataConfig - Describes the input required by the training job and the Amazon S3, EFS, or FSx location where it is stored.
OutputDataConfig - Identifies the Amazon S3 bucket where you want SageMaker to save the results of model training.
ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance.
EnableManagedSpotTraining - Optimize the cost of training machine learning models by up to 80% by using Amazon EC2 Spot instances. For more information, see Managed Spot Training.
RoleArn - The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that SageMaker can successfully complete model training.
StoppingCondition - To help cap training costs, use MaxRuntimeInSeconds to set a time limit for training. Use MaxWaitTimeInSeconds to specify how long a managed spot training job has to complete.
Environment - The environment variables to set in the Docker container.
RetryStrategy - The number of times to retry the job when the job fails due to an InternalServerError.
For more information about SageMaker, see How It Works.
', 'CreateTrainingPlan' => 'Creates a new training plan in SageMaker to reserve compute capacity.
Amazon SageMaker Training Plan is a capability within SageMaker that allows customers to reserve and manage GPU capacity for large-scale AI model training. It provides a way to secure predictable access to computational resources within specific timelines and budgets, without the need to manage underlying infrastructure.
How it works
Plans can be created for specific resources such as SageMaker Training Jobs or SageMaker HyperPod clusters, automatically provisioning resources, setting up infrastructure, executing workloads, and handling infrastructure failures.
Plan creation workflow
Users search for available plan offerings based on their requirements (e.g., instance type, count, start time, duration) using the SearchTrainingPlanOfferings API operation.
They create a plan that best matches their needs using the ID of the plan offering they want to use.
After successful upfront payment, the plan\'s status becomes Scheduled.
The plan can be used to:
Queue training jobs.
Allocate to an instance group of a SageMaker HyperPod cluster.
When the plan start date arrives, it becomes Active. Based on available reserved capacity:
Training jobs are launched.
Instance groups are provisioned.
Plan composition
A plan can consist of one or more Reserved Capacities, each defined by a specific instance type, quantity, Availability Zone, duration, and start and end times. For more information about Reserved Capacity, see ReservedCapacitySummary .
Starts a transform job. A transform job uses a trained model to get inferences on a dataset and saves these results to an Amazon S3 location that you specify.
To perform batch transformations, you create a transform job and use the data that you have readily available.
In the request body, you provide the following:
TransformJobName - Identifies the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.
ModelName - Identifies the model to use. ModelName must be the name of an existing Amazon SageMaker model in the same Amazon Web Services Region and Amazon Web Services account. For information on creating a model, see CreateModel.
TransformInput - Describes the dataset to be transformed and the Amazon S3 location where it is stored.
TransformOutput - Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
TransformResources - Identifies the ML compute instances for the transform job.
For more information about how batch transformation works, see Batch Transform.
', 'CreateTrial' => 'Creates an SageMaker trial. A trial is a set of steps called trial components that produce a machine learning model. A trial is part of a single SageMaker experiment.
When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to a trial and then use the Search API to search for the tags.
To get a list of all your trials, call the ListTrials API. To view a trial\'s properties, call the DescribeTrial API. To create a trial component, call the CreateTrialComponent API.
', 'CreateTrialComponent' => 'Creates a trial component, which is a stage of a machine learning trial. A trial is composed of one or more trial components. A trial component can be used in multiple trials.
Trial components include pre-processing jobs, training jobs, and batch transform jobs.
When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to a trial component and then use the Search API to search for the tags.
', 'CreateUserProfile' => 'Creates a user profile. A user profile represents a single user within a domain, and is the main way to reference a "person" for the purposes of sharing, reporting, and other user-oriented features. This entity is created when a user onboards to a domain. If an administrator invites a person by email or imports them from IAM Identity Center, a user profile is automatically created. A user profile is the primary holder of settings for an individual user and has a reference to the user\'s private Amazon Elastic File System home directory.
', 'CreateWorkforce' => 'Use this operation to create a workforce. This operation will return an error if a workforce already exists in the Amazon Web Services Region that you specify. You can only create one workforce in each Amazon Web Services Region per Amazon Web Services account.
If you want to create a new workforce in an Amazon Web Services Region where a workforce already exists, use the DeleteWorkforce API operation to delete the existing workforce and then use CreateWorkforce to create a new workforce.
To create a private workforce using Amazon Cognito, you must specify a Cognito user pool in CognitoConfig. You can also create an Amazon Cognito workforce using the Amazon SageMaker console. For more information, see Create a Private Workforce (Amazon Cognito).
To create a private workforce using your own OIDC Identity Provider (IdP), specify your IdP configuration in OidcConfig. Your OIDC IdP must support groups because groups are used by Ground Truth and Amazon A2I to create work teams. For more information, see Create a Private Workforce (OIDC IdP).
Creates a new work team for labeling your data. A work team is defined by one or more Amazon Cognito user pools. You must first create the user pools before you can create a work team.
You cannot create more than 25 work teams in an account and region.
', 'DeleteAction' => 'Deletes an action.
', 'DeleteAlgorithm' => 'Removes the specified algorithm from your account.
', 'DeleteApp' => 'Used to stop and delete an app.
', 'DeleteAppImageConfig' => 'Deletes an AppImageConfig.
', 'DeleteArtifact' => 'Deletes an artifact. Either ArtifactArn or Source must be specified.
Deletes an association.
', 'DeleteCluster' => 'Delete a SageMaker HyperPod cluster.
', 'DeleteClusterSchedulerConfig' => 'Deletes the cluster policy of the cluster.
', 'DeleteCodeRepository' => 'Deletes the specified Git repository from your account.
', 'DeleteCompilationJob' => 'Deletes the specified compilation job. This action deletes only the compilation job resource in Amazon SageMaker AI. It doesn\'t delete other resources that are related to that job, such as the model artifacts that the job creates, the compilation logs in CloudWatch, the compiled model, or the IAM role.
You can delete a compilation job only if its current status is COMPLETED, FAILED, or STOPPED. If the job status is STARTING or INPROGRESS, stop the job, and then delete it after its status becomes STOPPED.
Deletes the compute allocation from the cluster.
', 'DeleteContext' => 'Deletes an context.
', 'DeleteDataQualityJobDefinition' => 'Deletes a data quality monitoring job definition.
', 'DeleteDeviceFleet' => 'Deletes a fleet.
', 'DeleteDomain' => 'Used to delete a domain. If you onboarded with IAM mode, you will need to delete your domain to onboard again using IAM Identity Center. Use with caution. All of the members of the domain will lose access to their EFS volume, including data, notebooks, and other artifacts.
', 'DeleteEdgeDeploymentPlan' => 'Deletes an edge deployment plan if (and only if) all the stages in the plan are inactive or there are no stages in the plan.
', 'DeleteEdgeDeploymentStage' => 'Delete a stage in an edge deployment plan if (and only if) the stage is inactive.
', 'DeleteEndpoint' => 'Deletes an endpoint. SageMaker frees up all of the resources that were deployed when the endpoint was created.
SageMaker retires any custom KMS key grants associated with the endpoint, meaning you don\'t need to use the RevokeGrant API call.
When you delete your endpoint, SageMaker asynchronously deletes associated endpoint resources such as KMS key grants. You might still see these resources in your account for a few minutes after deleting your endpoint. Do not delete or revoke the permissions for your ExecutionRoleArn , otherwise SageMaker cannot delete these resources.
Deletes an endpoint configuration. The DeleteEndpointConfig API deletes only the specified configuration. It does not delete endpoints created using the configuration.
You must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. If you delete the EndpointConfig of an endpoint that is active or being created or updated you may lose visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop incurring charges.
Deletes an SageMaker experiment. All trials associated with the experiment must be deleted first. Use the ListTrials API to get a list of the trials associated with the experiment.
', 'DeleteFeatureGroup' => 'Delete the FeatureGroup and any data that was written to the OnlineStore of the FeatureGroup. Data cannot be accessed from the OnlineStore immediately after DeleteFeatureGroup is called.
Data written into the OfflineStore will not be deleted. The Amazon Web Services Glue database and tables that are automatically created for your OfflineStore are not deleted.
Note that it can take approximately 10-15 minutes to delete an OnlineStore FeatureGroup with the InMemory StorageType.
Deletes the specified flow definition.
', 'DeleteHub' => 'Delete a hub.
', 'DeleteHubContent' => 'Delete the contents of a hub.
', 'DeleteHubContentReference' => 'Delete a hub content reference in order to remove a model from a private hub.
', 'DeleteHumanTaskUi' => 'Use this operation to delete a human task user interface (worker task template).
To see a list of human task user interfaces (work task templates) in your account, use ListHumanTaskUis. When you delete a worker task template, it no longer appears when you call ListHumanTaskUis.
Deletes a hyperparameter tuning job. The DeleteHyperParameterTuningJob API deletes only the tuning job entry that was created in SageMaker when you called the CreateHyperParameterTuningJob API. It does not delete training jobs, artifacts, or the IAM role that you specified when creating the model.
Deletes a SageMaker AI image and all versions of the image. The container images aren\'t deleted.
', 'DeleteImageVersion' => 'Deletes a version of a SageMaker AI image. The container image the version represents isn\'t deleted.
', 'DeleteInferenceComponent' => 'Deletes an inference component.
', 'DeleteInferenceExperiment' => 'Deletes an inference experiment.
This operation does not delete your endpoint, variants, or any underlying resources. This operation only deletes the metadata of your experiment.
Deletes an MLflow Tracking Server. For more information, see Clean up MLflow resources.
', 'DeleteModel' => 'Deletes a model. The DeleteModel API deletes only the model entry that was created in SageMaker when you called the CreateModel API. It does not delete model artifacts, inference code, or the IAM role that you specified when creating the model.
Deletes an Amazon SageMaker AI model bias job definition.
', 'DeleteModelCard' => 'Deletes an Amazon SageMaker Model Card.
', 'DeleteModelExplainabilityJobDefinition' => 'Deletes an Amazon SageMaker AI model explainability job definition.
', 'DeleteModelPackage' => 'Deletes a model package.
A model package is used to create SageMaker models or list on Amazon Web Services Marketplace. Buyers can subscribe to model packages listed on Amazon Web Services Marketplace to create models in SageMaker.
', 'DeleteModelPackageGroup' => 'Deletes the specified model group.
', 'DeleteModelPackageGroupPolicy' => 'Deletes a model group resource policy.
', 'DeleteModelQualityJobDefinition' => 'Deletes the secified model quality monitoring job definition.
', 'DeleteMonitoringSchedule' => 'Deletes a monitoring schedule. Also stops the schedule had not already been stopped. This does not delete the job execution history of the monitoring schedule.
', 'DeleteNotebookInstance' => ' Deletes an SageMaker AI notebook instance. Before you can delete a notebook instance, you must call the StopNotebookInstance API.
When you delete a notebook instance, you lose all of your data. SageMaker AI removes the ML compute instance, and deletes the ML storage volume and the network interface associated with the notebook instance.
Deletes a notebook instance lifecycle configuration.
', 'DeleteOptimizationJob' => 'Deletes an optimization job.
', 'DeletePartnerApp' => 'Deletes a SageMaker Partner AI App.
', 'DeletePipeline' => 'Deletes a pipeline if there are no running instances of the pipeline. To delete a pipeline, you must stop all running instances of the pipeline using the StopPipelineExecution API. When you delete a pipeline, all instances of the pipeline are deleted.
Delete the specified project.
', 'DeleteSpace' => 'Used to delete a space.
', 'DeleteStudioLifecycleConfig' => 'Deletes the Amazon SageMaker AI Studio Lifecycle Configuration. In order to delete the Lifecycle Configuration, there must be no running apps using the Lifecycle Configuration. You must also remove the Lifecycle Configuration from UserSettings in all Domains and UserProfiles.
', 'DeleteTags' => 'Deletes the specified tags from an SageMaker resource.
To list a resource\'s tags, use the ListTags API.
When you call this API to delete tags from a hyperparameter tuning job, the deleted tags are not removed from training jobs that the hyperparameter tuning job launched before you called this API.
When you call this API to delete tags from a SageMaker Domain or User Profile, the deleted tags are not removed from Apps that the SageMaker Domain or User Profile launched before you called this API.
Deletes the specified trial. All trial components that make up the trial must be deleted first. Use the DescribeTrialComponent API to get the list of trial components.
', 'DeleteTrialComponent' => 'Deletes the specified trial component. A trial component must be disassociated from all trials before the trial component can be deleted. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
', 'DeleteUserProfile' => 'Deletes a user profile. When a user profile is deleted, the user loses access to their EFS volume, including data, notebooks, and other artifacts.
', 'DeleteWorkforce' => 'Use this operation to delete a workforce.
If you want to create a new workforce in an Amazon Web Services Region where a workforce already exists, use this operation to delete the existing workforce and then use CreateWorkforce to create a new workforce.
If a private workforce contains one or more work teams, you must use the DeleteWorkteam operation to delete all work teams before you delete the workforce. If you try to delete a workforce that contains one or more work teams, you will receive a ResourceInUse error.
Deletes an existing work team. This operation can\'t be undone.
', 'DeregisterDevices' => 'Deregisters the specified devices. After you deregister a device, you will need to re-register the devices.
', 'DescribeAction' => 'Describes an action.
', 'DescribeAlgorithm' => 'Returns a description of the specified algorithm that is in your account.
', 'DescribeApp' => 'Describes the app.
', 'DescribeAppImageConfig' => 'Describes an AppImageConfig.
', 'DescribeArtifact' => 'Describes an artifact.
', 'DescribeAutoMLJob' => 'Returns information about an AutoML job created by calling CreateAutoMLJob.
AutoML jobs created by calling CreateAutoMLJobV2 cannot be described by DescribeAutoMLJob.
Returns information about an AutoML job created by calling CreateAutoMLJobV2 or CreateAutoMLJob.
', 'DescribeCluster' => 'Retrieves information of a SageMaker HyperPod cluster.
', 'DescribeClusterNode' => 'Retrieves information of a node (also called a instance interchangeably) of a SageMaker HyperPod cluster.
', 'DescribeClusterSchedulerConfig' => 'Description of the cluster policy. This policy is used for task prioritization and fair-share allocation. This helps prioritize critical workloads and distributes idle compute across entities.
', 'DescribeCodeRepository' => 'Gets details about the specified Git repository.
', 'DescribeCompilationJob' => 'Returns information about a model compilation job.
To create a model compilation job, use CreateCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
', 'DescribeComputeQuota' => 'Description of the compute allocation definition.
', 'DescribeContext' => 'Describes a context.
', 'DescribeDataQualityJobDefinition' => 'Gets the details of a data quality monitoring job definition.
', 'DescribeDevice' => 'Describes the device.
', 'DescribeDeviceFleet' => 'A description of the fleet the device belongs to.
', 'DescribeDomain' => 'The description of the domain.
', 'DescribeEdgeDeploymentPlan' => 'Describes an edge deployment plan with deployment status per stage.
', 'DescribeEdgePackagingJob' => 'A description of edge packaging jobs.
', 'DescribeEndpoint' => 'Returns the description of an endpoint.
', 'DescribeEndpointConfig' => 'Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
Provides a list of an experiment\'s properties.
', 'DescribeFeatureGroup' => 'Use this operation to describe a FeatureGroup. The response includes information on the creation time, FeatureGroup name, the unique identifier for each FeatureGroup, and more.
Shows the metadata for a feature within a feature group.
', 'DescribeFlowDefinition' => 'Returns information about the specified flow definition.
', 'DescribeHub' => 'Describes a hub.
', 'DescribeHubContent' => 'Describe the content of a hub.
', 'DescribeHumanTaskUi' => 'Returns information about the requested human task user interface (worker task template).
', 'DescribeHyperParameterTuningJob' => 'Returns a description of a hyperparameter tuning job, depending on the fields selected. These fields can include the name, Amazon Resource Name (ARN), job status of your tuning job and more.
', 'DescribeImage' => 'Describes a SageMaker AI image.
', 'DescribeImageVersion' => 'Describes a version of a SageMaker AI image.
', 'DescribeInferenceComponent' => 'Returns information about an inference component.
', 'DescribeInferenceExperiment' => 'Returns details about an inference experiment.
', 'DescribeInferenceRecommendationsJob' => 'Provides the results of the Inference Recommender job. One or more recommendation jobs are returned.
', 'DescribeLabelingJob' => 'Gets information about a labeling job.
', 'DescribeLineageGroup' => 'Provides a list of properties for the requested lineage group. For more information, see Cross-Account Lineage Tracking in the Amazon SageMaker Developer Guide.
', 'DescribeMlflowTrackingServer' => 'Returns information about an MLflow Tracking Server.
', 'DescribeModel' => 'Describes a model that you created using the CreateModel API.
Returns a description of a model bias job definition.
', 'DescribeModelCard' => 'Describes the content, creation time, and security configuration of an Amazon SageMaker Model Card.
', 'DescribeModelCardExportJob' => 'Describes an Amazon SageMaker Model Card export job.
', 'DescribeModelExplainabilityJobDefinition' => 'Returns a description of a model explainability job definition.
', 'DescribeModelPackage' => 'Returns a description of the specified model package, which is used to create SageMaker models or list them on Amazon Web Services Marketplace.
If you provided a KMS Key ID when you created your model package, you will see the KMS Decrypt API call in your CloudTrail logs when you use this API.
To create models in SageMaker, buyers can subscribe to model packages listed on Amazon Web Services Marketplace.
', 'DescribeModelPackageGroup' => 'Gets a description for the specified model group.
', 'DescribeModelQualityJobDefinition' => 'Returns a description of a model quality job definition.
', 'DescribeMonitoringSchedule' => 'Describes the schedule for a monitoring job.
', 'DescribeNotebookInstance' => 'Returns information about a notebook instance.
', 'DescribeNotebookInstanceLifecycleConfig' => 'Returns a description of a notebook instance lifecycle configuration.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
', 'DescribeOptimizationJob' => 'Provides the properties of the specified optimization job.
', 'DescribePartnerApp' => 'Gets information about a SageMaker Partner AI App.
', 'DescribePipeline' => 'Describes the details of a pipeline.
', 'DescribePipelineDefinitionForExecution' => 'Describes the details of an execution\'s pipeline definition.
', 'DescribePipelineExecution' => 'Describes the details of a pipeline execution.
', 'DescribeProcessingJob' => 'Returns a description of a processing job.
', 'DescribeProject' => 'Describes the details of a project.
', 'DescribeSpace' => 'Describes the space.
', 'DescribeStudioLifecycleConfig' => 'Describes the Amazon SageMaker AI Studio Lifecycle Configuration.
', 'DescribeSubscribedWorkteam' => 'Gets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the Amazon Web Services Marketplace.
', 'DescribeTrainingJob' => 'Returns information about a training job.
Some of the attributes below only appear if the training job successfully starts. If the training job fails, TrainingJobStatus is Failed and, depending on the FailureReason, attributes like TrainingStartTime, TrainingTimeInSeconds, TrainingEndTime, and BillableTimeInSeconds may not be present in the response.
Retrieves detailed information about a specific training plan.
', 'DescribeTransformJob' => 'Returns information about a transform job.
', 'DescribeTrial' => 'Provides a list of a trial\'s properties.
', 'DescribeTrialComponent' => 'Provides a list of a trials component\'s properties.
', 'DescribeUserProfile' => 'Describes a user profile. For more information, see CreateUserProfile.
Lists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges (CIDRs). Allowable IP address ranges are the IP addresses that workers can use to access tasks.
This operation applies only to private workforces.
Gets information about a specific work team. You can see information such as the creation date, the last updated date, membership information, and the work team\'s Amazon Resource Name (ARN).
', 'DisableSagemakerServicecatalogPortfolio' => 'Disables using Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
', 'DisassociateTrialComponent' => 'Disassociates a trial component from a trial. This doesn\'t effect other trials the component is associated with. Before you can delete a component, you must disassociate the component from all trials it is associated with. To associate a trial component with a trial, call the AssociateTrialComponent API.
To get a list of the trials a component is associated with, use the Search API. Specify ExperimentTrialComponent for the Resource parameter. The list appears in the response under Results.TrialComponent.Parents.
Enables using Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
', 'GetDeviceFleetReport' => 'Describes a fleet.
', 'GetLineageGroupPolicy' => 'The resource policy for the lineage group.
', 'GetModelPackageGroupPolicy' => 'Gets a resource policy that manages access for a model group. For information about resource policies, see Identity-based policies and resource-based policies in the Amazon Web Services Identity and Access Management User Guide..
', 'GetSagemakerServicecatalogPortfolioStatus' => 'Gets the status of Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
', 'GetScalingConfigurationRecommendation' => 'Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job. Returns recommendations for autoscaling policies that you can apply to your SageMaker endpoint.
', 'GetSearchSuggestions' => 'An auto-complete API for the search functionality in the SageMaker console. It returns suggestions of possible matches for the property name to use in Search queries. Provides suggestions for HyperParameters, Tags, and Metrics.
Import hub content.
', 'ListActions' => 'Lists the actions in your account and their properties.
', 'ListAlgorithms' => 'Lists the machine learning algorithms that have been created.
', 'ListAliases' => 'Lists the aliases of a specified image or image version.
', 'ListAppImageConfigs' => 'Lists the AppImageConfigs in your account and their properties. The list can be filtered by creation time or modified time, and whether the AppImageConfig name contains a specified string.
', 'ListApps' => 'Lists apps.
', 'ListArtifacts' => 'Lists the artifacts in your account and their properties.
', 'ListAssociations' => 'Lists the associations in your account and their properties.
', 'ListAutoMLJobs' => 'Request a list of jobs.
', 'ListCandidatesForAutoMLJob' => 'List the candidates created for the job.
', 'ListClusterNodes' => 'Retrieves the list of instances (also called nodes interchangeably) in a SageMaker HyperPod cluster.
', 'ListClusterSchedulerConfigs' => 'List the cluster policy configurations.
', 'ListClusters' => 'Retrieves the list of SageMaker HyperPod clusters.
', 'ListCodeRepositories' => 'Gets a list of the Git repositories in your account.
', 'ListCompilationJobs' => 'Lists model compilation jobs that satisfy various filters.
To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
', 'ListComputeQuotas' => 'List the resource allocation definitions.
', 'ListContexts' => 'Lists the contexts in your account and their properties.
', 'ListDataQualityJobDefinitions' => 'Lists the data quality job definitions in your account.
', 'ListDeviceFleets' => 'Returns a list of devices in the fleet.
', 'ListDevices' => 'A list of devices.
', 'ListDomains' => 'Lists the domains.
', 'ListEdgeDeploymentPlans' => 'Lists all edge deployment plans.
', 'ListEdgePackagingJobs' => 'Returns a list of edge packaging jobs.
', 'ListEndpointConfigs' => 'Lists endpoint configurations.
', 'ListEndpoints' => 'Lists endpoints.
', 'ListExperiments' => 'Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.
', 'ListFeatureGroups' => 'List FeatureGroups based on given filter and order.
Returns information about the flow definitions in your account.
', 'ListHubContentVersions' => 'List hub content versions.
', 'ListHubContents' => 'List the contents of a hub.
', 'ListHubs' => 'List all existing hubs.
', 'ListHumanTaskUis' => 'Returns information about the human task user interfaces in your account.
', 'ListHyperParameterTuningJobs' => 'Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
', 'ListImageVersions' => 'Lists the versions of a specified image and their properties. The list can be filtered by creation time or modified time.
', 'ListImages' => 'Lists the images in your account and their properties. The list can be filtered by creation time or modified time, and whether the image name contains a specified string.
', 'ListInferenceComponents' => 'Lists the inference components in your account and their properties.
', 'ListInferenceExperiments' => 'Returns the list of all inference experiments.
', 'ListInferenceRecommendationsJobSteps' => 'Returns a list of the subtasks for an Inference Recommender job.
The supported subtasks are benchmarks, which evaluate the performance of your model on different instance types.
', 'ListInferenceRecommendationsJobs' => 'Lists recommendation jobs that satisfy various filters.
', 'ListLabelingJobs' => 'Gets a list of labeling jobs.
', 'ListLabelingJobsForWorkteam' => 'Gets a list of labeling jobs assigned to a specified work team.
', 'ListLineageGroups' => 'A list of lineage groups shared with your Amazon Web Services account. For more information, see Cross-Account Lineage Tracking in the Amazon SageMaker Developer Guide.
', 'ListMlflowTrackingServers' => 'Lists all MLflow Tracking Servers.
', 'ListModelBiasJobDefinitions' => 'Lists model bias jobs definitions that satisfy various filters.
', 'ListModelCardExportJobs' => 'List the export jobs for the Amazon SageMaker Model Card.
', 'ListModelCardVersions' => 'List existing versions of an Amazon SageMaker Model Card.
', 'ListModelCards' => 'List existing model cards.
', 'ListModelExplainabilityJobDefinitions' => 'Lists model explainability job definitions that satisfy various filters.
', 'ListModelMetadata' => 'Lists the domain, framework, task, and model name of standard machine learning models found in common model zoos.
', 'ListModelPackageGroups' => 'Gets a list of the model groups in your Amazon Web Services account.
', 'ListModelPackages' => 'Lists the model packages that have been created.
', 'ListModelQualityJobDefinitions' => 'Gets a list of model quality monitoring job definitions in your account.
', 'ListModels' => 'Lists models created with the CreateModel API.
Gets a list of past alerts in a model monitoring schedule.
', 'ListMonitoringAlerts' => 'Gets the alerts for a single monitoring schedule.
', 'ListMonitoringExecutions' => 'Returns list of all monitoring job executions.
', 'ListMonitoringSchedules' => 'Returns list of all monitoring schedules.
', 'ListNotebookInstanceLifecycleConfigs' => 'Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
', 'ListNotebookInstances' => 'Returns a list of the SageMaker AI notebook instances in the requester\'s account in an Amazon Web Services Region.
', 'ListOptimizationJobs' => 'Lists the optimization jobs in your account and their properties.
', 'ListPartnerApps' => 'Lists all of the SageMaker Partner AI Apps in an account.
', 'ListPipelineExecutionSteps' => 'Gets a list of PipeLineExecutionStep objects.
Gets a list of the pipeline executions.
', 'ListPipelineParametersForExecution' => 'Gets a list of parameters for a pipeline execution.
', 'ListPipelines' => 'Gets a list of pipelines.
', 'ListProcessingJobs' => 'Lists processing jobs that satisfy various filters.
', 'ListProjects' => 'Gets a list of the projects in an Amazon Web Services account.
', 'ListResourceCatalogs' => ' Lists Amazon SageMaker Catalogs based on given filters and orders. The maximum number of ResourceCatalogs viewable is 1000.
Lists spaces.
', 'ListStageDevices' => 'Lists devices allocated to the stage, containing detailed device information and deployment status.
', 'ListStudioLifecycleConfigs' => 'Lists the Amazon SageMaker AI Studio Lifecycle Configurations in your Amazon Web Services Account.
', 'ListSubscribedWorkteams' => 'Gets a list of the work teams that you are subscribed to in the Amazon Web Services Marketplace. The list may be empty if no work team satisfies the filter specified in the NameContains parameter.
Returns the tags for the specified SageMaker resource.
', 'ListTrainingJobs' => 'Lists training jobs.
When StatusEquals and MaxResults are set at the same time, the MaxResults number of training jobs are first retrieved ignoring the StatusEquals parameter and then they are filtered by the StatusEquals parameter, which is returned as a response.
For example, if ListTrainingJobs is invoked with the following parameters:
{ ... MaxResults: 100, StatusEquals: InProgress ... }
First, 100 trainings jobs with any status, including those other than InProgress, are selected (sorted according to the creation time, from the most current to the oldest). Next, those with a status of InProgress are returned.
You can quickly test the API using the following Amazon Web Services CLI code.
aws sagemaker list-training-jobs --max-results 100 --status-equals InProgress
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
', 'ListTrainingPlans' => 'Retrieves a list of training plans for the current account.
', 'ListTransformJobs' => 'Lists transform jobs.
', 'ListTrialComponents' => 'Lists the trial components in your account. You can sort the list by trial component name or creation time. You can filter the list to show only components that were created in a specific time range. You can also filter on one of the following:
ExperimentName
SourceArn
TrialName
Lists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. Specify a trial component name to limit the list to the trials that associated with that trial component. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time.
', 'ListUserProfiles' => 'Lists user profiles.
', 'ListWorkforces' => 'Use this operation to list all private and vendor workforces in an Amazon Web Services Region. Note that you can only have one private workforce per Amazon Web Services Region.
', 'ListWorkteams' => 'Gets a list of private work teams that you have defined in a region. The list may be empty if no work team satisfies the filter specified in the NameContains parameter.
Adds a resouce policy to control access to a model group. For information about resoure policies, see Identity-based policies and resource-based policies in the Amazon Web Services Identity and Access Management User Guide..
', 'QueryLineage' => 'Use this action to inspect your lineage and discover relationships between entities. For more information, see Querying Lineage Entities in the Amazon SageMaker Developer Guide.
', 'RegisterDevices' => 'Register devices.
', 'RenderUiTemplate' => 'Renders the UI template so that you can preview the worker\'s experience.
', 'RetryPipelineExecution' => 'Retry the execution of the pipeline.
', 'Search' => 'Finds SageMaker resources that match a search query. Matching resources are returned as a list of SearchRecord objects in the response. You can sort the search results by any resource property in a ascending or descending order.
You can query against the following value types: numeric, text, Boolean, and timestamp.
The Search API may provide access to otherwise restricted data. See Amazon SageMaker API Permissions: Actions, Permissions, and Resources Reference for more information.
Searches for available training plan offerings based on specified criteria.
Users search for available plan offerings based on their requirements (e.g., instance type, count, start time, duration).
And then, they create a plan that best matches their needs using the ID of the plan offering they want to use.
For more information about how to reserve GPU capacity for your SageMaker training jobs or SageMaker HyperPod clusters using Amazon SageMaker Training Plan , see CreateTrainingPlan .
Notifies the pipeline that the execution of a callback step failed, along with a message describing why. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).
', 'SendPipelineExecutionStepSuccess' => 'Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step\'s output parameters. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).
', 'StartEdgeDeploymentStage' => 'Starts a stage in an edge deployment plan.
', 'StartInferenceExperiment' => 'Starts an inference experiment.
', 'StartMlflowTrackingServer' => 'Programmatically start an MLflow Tracking Server.
', 'StartMonitoringSchedule' => 'Starts a previously stopped monitoring schedule.
By default, when you successfully create a new schedule, the status of a monitoring schedule is scheduled.
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, SageMaker AI sets the notebook instance status to InService. A notebook instance\'s status must be InService before you can connect to your Jupyter notebook.
Starts a pipeline execution.
', 'StopAutoMLJob' => 'A method for forcing a running job to shut down.
', 'StopCompilationJob' => 'Stops a model compilation job.
To stop a job, Amazon SageMaker AI sends the algorithm the SIGTERM signal. This gracefully shuts the job down. If the job hasn\'t stopped, it sends the SIGKILL signal.
When it receives a StopCompilationJob request, Amazon SageMaker AI changes the CompilationJobStatus of the job to Stopping. After Amazon SageMaker stops the job, it sets the CompilationJobStatus to Stopped.
Stops a stage in an edge deployment plan.
', 'StopEdgePackagingJob' => 'Request to stop an edge packaging job.
', 'StopHyperParameterTuningJob' => 'Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
All model artifacts output from the training jobs are stored in Amazon Simple Storage Service (Amazon S3). All data that the training jobs write to Amazon CloudWatch Logs are still available in CloudWatch. After the tuning job moves to the Stopped state, it releases all reserved resources for the tuning job.
Stops an inference experiment.
', 'StopInferenceRecommendationsJob' => 'Stops an Inference Recommender job.
', 'StopLabelingJob' => 'Stops a running labeling job. A job that is stopped cannot be restarted. Any results obtained before the job is stopped are placed in the Amazon S3 output bucket.
', 'StopMlflowTrackingServer' => 'Programmatically stop an MLflow Tracking Server.
', 'StopMonitoringSchedule' => 'Stops a previously started monitoring schedule.
', 'StopNotebookInstance' => 'Terminates the ML compute instance. Before terminating the instance, SageMaker AI disconnects the ML storage volume from it. SageMaker AI preserves the ML storage volume. SageMaker AI stops charging you for the ML compute instance when you call StopNotebookInstance.
To access data on the ML storage volume for a notebook instance that has been terminated, call the StartNotebookInstance API. StartNotebookInstance launches another ML compute instance, configures it, and attaches the preserved ML storage volume so you can continue your work.
Ends a running inference optimization job.
', 'StopPipelineExecution' => 'Stops a pipeline execution.
Callback Step
A pipeline execution won\'t stop while a callback step is running. When you call StopPipelineExecution on a pipeline execution with a running callback step, SageMaker Pipelines sends an additional Amazon SQS message to the specified SQS queue. The body of the SQS message contains a "Status" field which is set to "Stopping".
You should add logic to your Amazon SQS message consumer to take any needed action (for example, resource cleanup) upon receipt of the message followed by a call to SendPipelineExecutionStepSuccess or SendPipelineExecutionStepFailure.
Only when SageMaker Pipelines receives one of these calls will it stop the pipeline execution.
Lambda Step
A pipeline execution can\'t be stopped while a lambda step is running because the Lambda function invoked by the lambda step can\'t be stopped. If you attempt to stop the execution while the Lambda function is running, the pipeline waits for the Lambda function to finish or until the timeout is hit, whichever occurs first, and then stops. If the Lambda function finishes, the pipeline execution status is Stopped. If the timeout is hit the pipeline execution status is Failed.
Stops a processing job.
', 'StopTrainingJob' => 'Stops a training job. To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms might use this 120-second window to save the model artifacts, so the results of the training is not lost.
When it receives a StopTrainingJob request, SageMaker changes the status of the job to Stopping. After SageMaker stops the job, it sets the status to Stopped.
Stops a batch transform job.
When Amazon SageMaker receives a StopTransformJob request, the status of the job changes to Stopping. After Amazon SageMaker stops the job, the status is set to Stopped. When you stop a batch transform job before it is completed, Amazon SageMaker doesn\'t store the job\'s output in Amazon S3.
Updates an action.
', 'UpdateAppImageConfig' => 'Updates the properties of an AppImageConfig.
', 'UpdateArtifact' => 'Updates an artifact.
', 'UpdateCluster' => 'Updates a SageMaker HyperPod cluster.
', 'UpdateClusterSchedulerConfig' => 'Update the cluster policy configuration.
', 'UpdateClusterSoftware' => 'Updates the platform software of a SageMaker HyperPod cluster for security patching. To learn how to use this API, see Update the SageMaker HyperPod platform software of a cluster.
The UpgradeClusterSoftware API call may impact your SageMaker HyperPod cluster uptime and availability. Plan accordingly to mitigate potential disruptions to your workloads.
Updates the specified Git repository with the specified values.
', 'UpdateComputeQuota' => 'Update the compute allocation definition.
', 'UpdateContext' => 'Updates a context.
', 'UpdateDeviceFleet' => 'Updates a fleet of devices.
', 'UpdateDevices' => 'Updates one or more devices in a fleet.
', 'UpdateDomain' => 'Updates the default settings for new user profiles in the domain.
', 'UpdateEndpoint' => 'Deploys the EndpointConfig specified in the request to a new fleet of instances. SageMaker shifts endpoint traffic to the new instances with the updated endpoint configuration and then deletes the old instances using the previous EndpointConfig (there is no availability loss). For more information about how to control the update and traffic shifting process, see Update models in production.
When SageMaker receives the request, it sets the endpoint status to Updating. After updating the endpoint, it sets the status to InService. To check the status of an endpoint, use the DescribeEndpoint API.
You must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig.
If you delete the EndpointConfig of an endpoint that is active or being created or updated you may lose visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop incurring charges.
Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant associated with an existing endpoint. When it receives the request, SageMaker sets the endpoint status to Updating. After updating the endpoint, it sets the status to InService. To check the status of an endpoint, use the DescribeEndpoint API.
Adds, updates, or removes the description of an experiment. Updates the display name of an experiment.
', 'UpdateFeatureGroup' => 'Updates the feature group by either adding features or updating the online store configuration. Use one of the following request parameters at a time while using the UpdateFeatureGroup API.
You can add features for your feature group using the FeatureAdditions request parameter. Features cannot be removed from a feature group.
You can update the online store configuration by using the OnlineStoreConfig request parameter. If a TtlDuration is specified, the default TtlDuration applies for all records added to the feature group after the feature group is updated. If a record level TtlDuration exists from using the PutRecord API, the record level TtlDuration applies to that record instead of the default TtlDuration. To remove the default TtlDuration from an existing feature group, use the UpdateFeatureGroup API and set the TtlDuration Unit and Value to null.
Updates the description and parameters of the feature group.
', 'UpdateHub' => 'Update a hub.
', 'UpdateImage' => 'Updates the properties of a SageMaker AI image. To change the image\'s tags, use the AddTags and DeleteTags APIs.
', 'UpdateImageVersion' => 'Updates the properties of a SageMaker AI image version.
', 'UpdateInferenceComponent' => 'Updates an inference component.
', 'UpdateInferenceComponentRuntimeConfig' => 'Runtime settings for a model that is deployed with an inference component.
', 'UpdateInferenceExperiment' => ' Updates an inference experiment that you created. The status of the inference experiment has to be either Created, Running. For more information on the status of an inference experiment, see DescribeInferenceExperiment.
Updates properties of an existing MLflow Tracking Server.
', 'UpdateModelCard' => 'Update an Amazon SageMaker Model Card.
You cannot update both model card content and model card status in a single call.
Updates a versioned model.
', 'UpdateMonitoringAlert' => 'Update the parameters of a model monitor alert.
', 'UpdateMonitoringSchedule' => 'Updates a previously created schedule.
', 'UpdateNotebookInstance' => 'Updates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements.
', 'UpdateNotebookInstanceLifecycleConfig' => 'Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
', 'UpdatePartnerApp' => 'Updates all of the SageMaker Partner AI Apps in an account.
', 'UpdatePipeline' => 'Updates a pipeline.
', 'UpdatePipelineExecution' => 'Updates a pipeline execution.
', 'UpdateProject' => 'Updates a machine learning (ML) project that is created from a template that sets up an ML pipeline from training to deploying an approved model.
You must not update a project that is in use. If you update the ServiceCatalogProvisioningUpdateDetails of a project that is active or being created, or updated, you may lose resources already created by the project.
Updates the settings of a space.
You can\'t edit the app type of a space in the SpaceSettings.
Update a model training job to request a new Debugger profiling configuration or to change warm pool retention length.
', 'UpdateTrial' => 'Updates the display name of a trial.
', 'UpdateTrialComponent' => 'Updates one or more properties of a trial component.
', 'UpdateUserProfile' => 'Updates a user profile.
', 'UpdateWorkforce' => 'Use this operation to update your workforce. You can use this operation to require that workers use specific IP addresses to work on tasks and to update your OpenID Connect (OIDC) Identity Provider (IdP) workforce configuration.
The worker portal is now supported in VPC and public internet.
Use SourceIpConfig to restrict worker access to tasks to a specific range of IP addresses. You specify allowed IP addresses by creating a list of up to ten CIDRs. By default, a workforce isn\'t restricted to specific IP addresses. If you specify a range of IP addresses, workers who attempt to access tasks using any IP address outside the specified range are denied and get a Not Found error message on the worker portal.
To restrict access to all the workers in public internet, add the SourceIpConfig CIDR value as "10.0.0.0/16".
Amazon SageMaker does not support Source Ip restriction for worker portals in VPC.
Use OidcConfig to update the configuration of a workforce created using your own OIDC IdP.
You can only update your OIDC IdP configuration when there are no work teams associated with your workforce. You can delete work teams using the DeleteWorkteam operation.
After restricting access to a range of IP addresses or updating your OIDC IdP configuration with this operation, you can view details about your update workforce using the DescribeWorkforce operation.
This operation only applies to private workforces.
Updates an existing work team with new member definitions or description.
', ], 'shapes' => [ 'Accept' => [ 'base' => NULL, 'refs' => [ 'TransformOutput$Accept' => 'The MIME type used to specify the output data. Amazon SageMaker uses the MIME type with each http call to transfer data from the transform job.
', ], ], 'AcceptEula' => [ 'base' => NULL, 'refs' => [ 'ModelAccessConfig$AcceptEula' => 'Specifies agreement to the model end-user license agreement (EULA). The AcceptEula value must be explicitly defined as True in order to accept the EULA that this model requires. You are responsible for reviewing and complying with any applicable license terms and making sure they are acceptable for your use case before downloading or using a model.
The Amazon Web Services account ID of the account used to start the labeling job.
', 'VpcOnlyTrustedAccounts$member' => NULL, ], ], 'ActionArn' => [ 'base' => NULL, 'refs' => [ 'ActionSummary$ActionArn' => 'The Amazon Resource Name (ARN) of the action.
', 'CreateActionResponse$ActionArn' => 'The Amazon Resource Name (ARN) of the action.
', 'DeleteActionResponse$ActionArn' => 'The Amazon Resource Name (ARN) of the action.
', 'DescribeActionResponse$ActionArn' => 'The Amazon Resource Name (ARN) of the action.
', 'UpdateActionResponse$ActionArn' => 'The Amazon Resource Name (ARN) of the action.
', ], ], 'ActionSource' => [ 'base' => 'A structure describing the source of an action.
', 'refs' => [ 'ActionSummary$Source' => 'The source of the action.
', 'CreateActionRequest$Source' => 'The source type, ID, and URI.
', 'DescribeActionResponse$Source' => 'The source of the action.
', ], ], 'ActionStatus' => [ 'base' => NULL, 'refs' => [ 'ActionSummary$Status' => 'The status of the action.
', 'CreateActionRequest$Status' => 'The status of the action.
', 'DescribeActionResponse$Status' => 'The status of the action.
', 'UpdateActionRequest$Status' => 'The new status for the action.
', ], ], 'ActionSummaries' => [ 'base' => NULL, 'refs' => [ 'ListActionsResponse$ActionSummaries' => 'A list of actions and their properties.
', ], ], 'ActionSummary' => [ 'base' => 'Lists the properties of an action. An action represents an action or activity. Some examples are a workflow step and a model deployment. Generally, an action involves at least one input artifact or output artifact.
', 'refs' => [ 'ActionSummaries$member' => NULL, ], ], 'ActivationState' => [ 'base' => NULL, 'refs' => [ 'ComputeQuotaSummary$ActivationState' => 'The state of the compute allocation being described. Use to enable or disable compute allocation.
Default is Enabled.
The state of the compute allocation being described. Use to enable or disable compute allocation.
Default is Enabled.
The state of the compute allocation being described. Use to enable or disable compute allocation.
Default is Enabled.
The state of the compute allocation being described. Use to enable or disable compute allocation.
Default is Enabled.
An array of up to three Git repositories to associate with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.
', 'DescribeNotebookInstanceOutput$AdditionalCodeRepositories' => 'An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.
', 'NotebookInstanceSummary$AdditionalCodeRepositories' => 'An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.
', 'UpdateNotebookInstanceInput$AdditionalCodeRepositories' => 'An array of up to three Git repositories to associate with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.
', ], ], 'AdditionalInferenceSpecificationDefinition' => [ 'base' => 'A structure of additional Inference Specification. Additional Inference Specification specifies details about inference jobs that can be run with models based on this model package
', 'refs' => [ 'AdditionalInferenceSpecifications$member' => NULL, ], ], 'AdditionalInferenceSpecifications' => [ 'base' => NULL, 'refs' => [ 'CreateModelPackageInput$AdditionalInferenceSpecifications' => 'An array of additional Inference Specification objects. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.
', 'DescribeModelPackageOutput$AdditionalInferenceSpecifications' => 'An array of additional Inference Specification objects. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.
', 'ModelPackage$AdditionalInferenceSpecifications' => 'An array of additional Inference Specification objects.
', 'UpdateModelPackageInput$AdditionalInferenceSpecificationsToAdd' => 'An array of additional Inference Specification objects to be added to the existing array additional Inference Specification. Total number of additional Inference Specifications can not exceed 15. Each additional Inference Specification specifies artifacts based on this model package that can be used on inference endpoints. Generally used with SageMaker Neo to store the compiled artifacts.
', ], ], 'AdditionalModelChannelName' => [ 'base' => NULL, 'refs' => [ 'AdditionalModelDataSource$ChannelName' => 'A custom name for this AdditionalModelDataSource object.
Data sources that are available to your model in addition to the one that you specify for ModelDataSource when you use the CreateModel action.
Data sources that are available to your model in addition to the one that you specify for ModelDataSource when you use the CreateModel action.
A data source used for training or inference that is in addition to the input dataset or model data.
', 'refs' => [ 'ModelPackageContainerDefinition$AdditionalS3DataSource' => 'The additional data source that is used during inference in the Docker container for your model package.
', 'TrainingSpecification$AdditionalS3DataSource' => 'The additional data source used during the training job.
', ], ], 'AdditionalS3DataSourceDataType' => [ 'base' => NULL, 'refs' => [ 'AdditionalS3DataSource$S3DataType' => 'The data type of the additional data source that you specify for use in inference or training.
', ], ], 'AgentVersion' => [ 'base' => 'Edge Manager agent version.
', 'refs' => [ 'AgentVersions$member' => NULL, ], ], 'AgentVersions' => [ 'base' => NULL, 'refs' => [ 'GetDeviceFleetReportResponse$AgentVersions' => 'The versions of Edge Manager agent deployed on the fleet.
', ], ], 'AggregationTransformationValue' => [ 'base' => NULL, 'refs' => [ 'AggregationTransformations$value' => NULL, ], ], 'AggregationTransformations' => [ 'base' => NULL, 'refs' => [ 'TimeSeriesTransformations$Aggregation' => 'A key value pair defining the aggregation method for a column, where the key is the column name and the value is the aggregation method.
The supported aggregation methods are sum (default), avg, first, min, max.
Aggregation is only supported for the target column.
An Amazon CloudWatch alarm configured to monitor metrics on an endpoint.
', 'refs' => [ 'AlarmList$member' => NULL, ], ], 'AlarmList' => [ 'base' => NULL, 'refs' => [ 'AutoRollbackConfig$Alarms' => 'List of CloudWatch alarms in your account that are configured to monitor metrics on an endpoint. If any alarms are tripped during a deployment, SageMaker rolls back the deployment.
', ], ], 'AlarmName' => [ 'base' => NULL, 'refs' => [ 'Alarm$AlarmName' => 'The name of a CloudWatch alarm in your account.
', ], ], 'AlgorithmArn' => [ 'base' => NULL, 'refs' => [ 'AlgorithmSummary$AlgorithmArn' => 'The Amazon Resource Name (ARN) of the algorithm.
', 'CreateAlgorithmOutput$AlgorithmArn' => 'The Amazon Resource Name (ARN) of the new algorithm.
', 'DescribeAlgorithmOutput$AlgorithmArn' => 'The Amazon Resource Name (ARN) of the algorithm.
', ], ], 'AlgorithmImage' => [ 'base' => NULL, 'refs' => [ 'AlgorithmSpecification$TrainingImage' => 'The registry path of the Docker image that contains the training algorithm. For information about docker registry paths for SageMaker built-in algorithms, see Docker Registry Paths and Example Code in the Amazon SageMaker developer guide. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information about using your custom training container, see Using Your Own Algorithms with Amazon SageMaker.
You must specify either the algorithm name to the AlgorithmName parameter or the image URI of the algorithm container to the TrainingImage parameter.
For more information, see the note in the AlgorithmName parameter description.
The Amazon Elastic Container (ECR) Image for the managed rule evaluation.
', 'HyperParameterAlgorithmSpecification$TrainingImage' => ' The registry path of the Docker image that contains the training algorithm. For information about Docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
The Amazon Elastic Container Registry Image for the managed rule evaluation.
', ], ], 'AlgorithmSortBy' => [ 'base' => NULL, 'refs' => [ 'ListAlgorithmsInput$SortBy' => 'The parameter by which to sort the results. The default is CreationTime.
Specifies the training algorithm to use in a CreateTrainingJob request.
SageMaker uses its own SageMaker account credentials to pull and access built-in algorithms so built-in algorithms are universally accessible across all Amazon Web Services accounts. As a result, built-in algorithms have standard, unrestricted access. You cannot restrict built-in algorithms using IAM roles. Use custom algorithms if you require specific access controls.
For more information about algorithms provided by SageMaker, see Algorithms. For information about using your own algorithms, see Using Your Own Algorithms with Amazon SageMaker.
', 'refs' => [ 'CreateTrainingJobRequest$AlgorithmSpecification' => 'The registry path of the Docker image that contains the training algorithm and algorithm-specific metadata, including the input mode. For more information about algorithms provided by SageMaker, see Algorithms. For information about providing your own algorithms, see Using Your Own Algorithms with Amazon SageMaker.
', 'DescribeTrainingJobResponse$AlgorithmSpecification' => 'Information about the algorithm used for training, and algorithm metadata.
', 'TrainingJob$AlgorithmSpecification' => 'Information about the algorithm used for training, and algorithm metadata.
', ], ], 'AlgorithmStatus' => [ 'base' => NULL, 'refs' => [ 'AlgorithmSummary$AlgorithmStatus' => 'The overall status of the algorithm.
', 'DescribeAlgorithmOutput$AlgorithmStatus' => 'The current status of the algorithm.
', ], ], 'AlgorithmStatusDetails' => [ 'base' => 'Specifies the validation and image scan statuses of the algorithm.
', 'refs' => [ 'DescribeAlgorithmOutput$AlgorithmStatusDetails' => 'Details about the current status of the algorithm.
', ], ], 'AlgorithmStatusItem' => [ 'base' => 'Represents the overall status of an algorithm.
', 'refs' => [ 'AlgorithmStatusItemList$member' => NULL, ], ], 'AlgorithmStatusItemList' => [ 'base' => NULL, 'refs' => [ 'AlgorithmStatusDetails$ValidationStatuses' => 'The status of algorithm validation.
', 'AlgorithmStatusDetails$ImageScanStatuses' => 'The status of the scan of the algorithm\'s Docker image container.
', ], ], 'AlgorithmSummary' => [ 'base' => 'Provides summary information about an algorithm.
', 'refs' => [ 'AlgorithmSummaryList$member' => NULL, ], ], 'AlgorithmSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListAlgorithmsOutput$AlgorithmSummaryList' => '>An array of AlgorithmSummary objects, each of which lists an algorithm.
Defines a training job and a batch transform job that SageMaker runs to validate your algorithm.
The data provided in the validation profile is made available to your buyers on Amazon Web Services Marketplace.
', 'refs' => [ 'AlgorithmValidationProfiles$member' => NULL, ], ], 'AlgorithmValidationProfiles' => [ 'base' => NULL, 'refs' => [ 'AlgorithmValidationSpecification$ValidationProfiles' => 'An array of AlgorithmValidationProfile objects, each of which specifies a training job and batch transform job that SageMaker runs to validate your algorithm.
Specifies configurations for one or more training jobs that SageMaker runs to test the algorithm.
', 'refs' => [ 'CreateAlgorithmInput$ValidationSpecification' => 'Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm\'s training code and, optionally, one or more batch transform jobs that SageMaker runs to test the algorithm\'s inference code.
', 'DescribeAlgorithmOutput$ValidationSpecification' => 'Details about configurations for one or more training jobs that SageMaker runs to test the algorithm.
', ], ], 'AmazonQSettings' => [ 'base' => 'A collection of settings that configure the Amazon Q experience within the domain.
', 'refs' => [ 'DomainSettings$AmazonQSettings' => 'A collection of settings that configure the Amazon Q experience within the domain. The AuthMode that you use to create the domain must be SSO.
A collection of settings that configure the Amazon Q experience within the domain.
', ], ], 'AnnotationConsolidationConfig' => [ 'base' => 'Configures how labels are consolidated across human workers and processes output data.
', 'refs' => [ 'HumanTaskConfig$AnnotationConsolidationConfig' => 'Configures how labels are consolidated across human workers.
', ], ], 'AppArn' => [ 'base' => NULL, 'refs' => [ 'CreateAppResponse$AppArn' => 'The Amazon Resource Name (ARN) of the app.
', 'DescribeAppResponse$AppArn' => 'The Amazon Resource Name (ARN) of the app.
', ], ], 'AppDetails' => [ 'base' => 'Details about an Amazon SageMaker AI app.
', 'refs' => [ 'AppList$member' => NULL, ], ], 'AppImageConfigArn' => [ 'base' => NULL, 'refs' => [ 'AppImageConfigDetails$AppImageConfigArn' => 'The ARN of the AppImageConfig.
', 'CreateAppImageConfigResponse$AppImageConfigArn' => 'The ARN of the AppImageConfig.
', 'DescribeAppImageConfigResponse$AppImageConfigArn' => 'The ARN of the AppImageConfig.
', 'UpdateAppImageConfigResponse$AppImageConfigArn' => 'The ARN for the AppImageConfig.
', ], ], 'AppImageConfigDetails' => [ 'base' => 'The configuration for running a SageMaker AI image as a KernelGateway app.
', 'refs' => [ 'AppImageConfigList$member' => NULL, ], ], 'AppImageConfigList' => [ 'base' => NULL, 'refs' => [ 'ListAppImageConfigsResponse$AppImageConfigs' => 'A list of AppImageConfigs and their properties.
', ], ], 'AppImageConfigName' => [ 'base' => NULL, 'refs' => [ 'AppImageConfigDetails$AppImageConfigName' => 'The name of the AppImageConfig. Must be unique to your account.
', 'CreateAppImageConfigRequest$AppImageConfigName' => 'The name of the AppImageConfig. Must be unique to your account.
', 'CustomImage$AppImageConfigName' => 'The name of the AppImageConfig.
', 'DeleteAppImageConfigRequest$AppImageConfigName' => 'The name of the AppImageConfig to delete.
', 'DescribeAppImageConfigRequest$AppImageConfigName' => 'The name of the AppImageConfig to describe.
', 'DescribeAppImageConfigResponse$AppImageConfigName' => 'The name of the AppImageConfig.
', 'ListAppImageConfigsRequest$NameContains' => 'A filter that returns only AppImageConfigs whose name contains the specified string.
', 'UpdateAppImageConfigRequest$AppImageConfigName' => 'The name of the AppImageConfig to update.
', ], ], 'AppImageConfigSortKey' => [ 'base' => NULL, 'refs' => [ 'ListAppImageConfigsRequest$SortBy' => 'The property used to sort results. The default value is CreationTime.
The instance type that the image version runs on.
JupyterServer apps only support the system value.
For KernelGateway apps, the system value is translated to ml.t3.medium. KernelGateway apps also support all other values for available instance types.
Settings that are used to configure and manage the lifecycle of Amazon SageMaker Studio applications.
', 'refs' => [ 'CodeEditorAppSettings$AppLifecycleManagement' => 'Settings that are used to configure and manage the lifecycle of CodeEditor applications.
', 'JupyterLabAppSettings$AppLifecycleManagement' => 'Indicates whether idle shutdown is activated for JupyterLab applications.
', ], ], 'AppList' => [ 'base' => NULL, 'refs' => [ 'ListAppsResponse$Apps' => 'The list of apps.
', ], ], 'AppManaged' => [ 'base' => NULL, 'refs' => [ 'ProcessingInput$AppManaged' => 'When True, input operations such as data download are managed natively by the processing job application. When False (default), input operations are managed by Amazon SageMaker.
When True, output operations such as data upload are managed natively by the processing job application. When False (default), output operations are managed by Amazon SageMaker.
The name of the app.
', 'CreateAppRequest$AppName' => 'The name of the app.
', 'DeleteAppRequest$AppName' => 'The name of the app.
', 'DescribeAppRequest$AppName' => 'The name of the app.
', 'DescribeAppResponse$AppName' => 'The name of the app.
', ], ], 'AppNetworkAccessType' => [ 'base' => NULL, 'refs' => [ 'CreateDomainRequest$AppNetworkAccessType' => 'Specifies the VPC used for non-EFS traffic. The default value is PublicInternetOnly.
PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker AI, which allows direct internet access
VpcOnly - All traffic is through the specified VPC and subnets
Specifies the VPC used for non-EFS traffic. The default value is PublicInternetOnly.
PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker AI, which allows direct internet access
VpcOnly - All traffic is through the specified VPC and subnets
Specifies the VPC used for non-EFS traffic.
PublicInternetOnly - Non-EFS traffic is through a VPC managed by Amazon SageMaker AI, which allows direct internet access.
VpcOnly - All Studio traffic is through the specified VPC and subnets.
This configuration can only be modified if there are no apps in the InService, Pending, or Deleting state. The configuration cannot be updated if DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is already set or DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is provided as part of the same request.
The entity that creates and manages the required security groups for inter-app communication in VPCOnly mode. Required when CreateDomain.AppNetworkAccessType is VPCOnly and DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is provided. If setting up the domain for use with RStudio, this value must be set to Service.
The entity that creates and manages the required security groups for inter-app communication in VPCOnly mode. Required when CreateDomain.AppNetworkAccessType is VPCOnly and DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is provided.
The entity that creates and manages the required security groups for inter-app communication in VPCOnly mode. Required when CreateDomain.AppNetworkAccessType is VPCOnly and DomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn is provided. If setting up the domain for use with RStudio, this value must be set to Service.
The parameter by which to sort the results. The default is CreationTime.
', ], ], 'AppSpecification' => [ 'base' => 'Configuration to run a processing job in a specified container image.
', 'refs' => [ 'CreateProcessingJobRequest$AppSpecification' => 'Configures the processing job to run a specified Docker container image.
', 'DescribeProcessingJobResponse$AppSpecification' => 'Configures the processing job to run a specified container image.
', 'ProcessingJob$AppSpecification' => NULL, ], ], 'AppStatus' => [ 'base' => NULL, 'refs' => [ 'AppDetails$Status' => 'The status.
', 'DescribeAppResponse$Status' => 'The status.
', ], ], 'AppType' => [ 'base' => NULL, 'refs' => [ 'AppDetails$AppType' => 'The type of app.
', 'CreateAppRequest$AppType' => 'The type of app.
', 'DeleteAppRequest$AppType' => 'The type of app.
', 'DescribeAppRequest$AppType' => 'The type of app.
', 'DescribeAppResponse$AppType' => 'The type of app.
', 'HiddenAppTypesList$member' => NULL, 'SpaceSettings$AppType' => 'The type of app created within the space.
If using the UpdateSpace API, you can\'t change the app type of your space by specifying a different value for this field.
', 'SpaceSettingsSummary$AppType' => 'The type of app created within the space.
', ], ], 'ApprovalDescription' => [ 'base' => NULL, 'refs' => [ 'DescribeModelPackageOutput$ApprovalDescription' => 'A description provided for the model approval.
', 'ModelPackage$ApprovalDescription' => 'A description provided when the model approval is set.
', 'UpdateModelPackageInput$ApprovalDescription' => 'A description for the approval status of the model.
', ], ], 'ArnOrName' => [ 'base' => NULL, 'refs' => [ 'AlgorithmSpecification$AlgorithmName' => 'The name of the algorithm resource to use for the training job. This must be an algorithm resource that you created or subscribe to on Amazon Web Services Marketplace.
You must specify either the algorithm name to the AlgorithmName parameter or the image URI of the algorithm container to the TrainingImage parameter.
Note that the AlgorithmName parameter is mutually exclusive with the TrainingImage parameter. If you specify a value for the AlgorithmName parameter, you can\'t specify a value for TrainingImage, and vice versa.
If you specify values for both parameters, the training job might break; if you don\'t specify any value for both parameters, the training job might raise a null error.
The name or Amazon Resource Name (ARN) of the model package group that this model version belongs to.
This parameter is required for versioned models, and does not apply to unversioned models.
', 'DeleteModelPackageGroupInput$ModelPackageGroupName' => 'The name of the model group to delete.
', 'DescribeAlgorithmInput$AlgorithmName' => 'The name of the algorithm to describe.
', 'DescribeModelPackageGroupInput$ModelPackageGroupName' => 'The name of the model group to describe.
', 'HyperParameterAlgorithmSpecification$AlgorithmName' => 'The name of the resource algorithm to use for the hyperparameter tuning job. If you specify a value for this parameter, do not specify a value for TrainingImage.
A filter that returns only model versions that belong to the specified model group.
', 'SourceAlgorithm$AlgorithmName' => 'The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.
', ], ], 'ArtifactArn' => [ 'base' => NULL, 'refs' => [ 'ArtifactSummary$ArtifactArn' => 'The Amazon Resource Name (ARN) of the artifact.
', 'CreateArtifactResponse$ArtifactArn' => 'The Amazon Resource Name (ARN) of the artifact.
', 'DeleteArtifactRequest$ArtifactArn' => 'The Amazon Resource Name (ARN) of the artifact to delete.
', 'DeleteArtifactResponse$ArtifactArn' => 'The Amazon Resource Name (ARN) of the artifact.
', 'DescribeArtifactRequest$ArtifactArn' => 'The Amazon Resource Name (ARN) of the artifact to describe.
', 'DescribeArtifactResponse$ArtifactArn' => 'The Amazon Resource Name (ARN) of the artifact.
', 'UpdateArtifactRequest$ArtifactArn' => 'The Amazon Resource Name (ARN) of the artifact to update.
', 'UpdateArtifactResponse$ArtifactArn' => 'The Amazon Resource Name (ARN) of the artifact.
', ], ], 'ArtifactDigest' => [ 'base' => NULL, 'refs' => [ 'ModelDigests$ArtifactDigest' => 'Provides a hash value that uniquely identifies the stored model artifacts.
', ], ], 'ArtifactProperties' => [ 'base' => NULL, 'refs' => [ 'CreateArtifactRequest$Properties' => 'A list of properties to add to the artifact.
', 'UpdateArtifactRequest$Properties' => 'The new list of properties. Overwrites the current property list.
', ], ], 'ArtifactPropertyValue' => [ 'base' => NULL, 'refs' => [ 'ArtifactProperties$value' => NULL, ], ], 'ArtifactSource' => [ 'base' => 'A structure describing the source of an artifact.
', 'refs' => [ 'ArtifactSummary$Source' => 'The source of the artifact.
', 'CreateArtifactRequest$Source' => 'The ID, ID type, and URI of the source.
', 'DeleteArtifactRequest$Source' => 'The URI of the source.
', 'DescribeArtifactResponse$Source' => 'The source of the artifact.
', ], ], 'ArtifactSourceIdType' => [ 'base' => NULL, 'refs' => [ 'ArtifactSourceType$SourceIdType' => 'The type of ID.
', ], ], 'ArtifactSourceType' => [ 'base' => 'The ID and ID type of an artifact source.
', 'refs' => [ 'ArtifactSourceTypes$member' => NULL, ], ], 'ArtifactSourceTypes' => [ 'base' => NULL, 'refs' => [ 'ArtifactSource$SourceTypes' => 'A list of source types.
', ], ], 'ArtifactSummaries' => [ 'base' => NULL, 'refs' => [ 'ListArtifactsResponse$ArtifactSummaries' => 'A list of artifacts and their properties.
', ], ], 'ArtifactSummary' => [ 'base' => 'Lists a summary of the properties of an artifact. An artifact represents a URI addressable object or data. Some examples are a dataset and a model.
', 'refs' => [ 'ArtifactSummaries$member' => NULL, ], ], 'AssemblyType' => [ 'base' => NULL, 'refs' => [ 'TransformOutput$AssembleWith' => 'Defines how to assemble the results of the transform job as a single S3 object. Choose a format that is most convenient to you. To concatenate the results in binary format, specify None. To add a newline character at the end of every transformed record, specify Line.
The type of association. The following are suggested uses for each type. Amazon SageMaker places no restrictions on their use.
ContributedTo - The source contributed to the destination or had a part in enabling the destination. For example, the training data contributed to the training job.
AssociatedWith - The source is connected to the destination. For example, an approval workflow is associated with a model deployment.
DerivedFrom - The destination is a modification of the source. For example, a digest output of a channel input for a processing job is derived from the original inputs.
Produced - The source generated the destination. For example, a training job produced a model artifact.
The type of the association.
', 'Edge$AssociationType' => 'The type of the Association(Edge) between the source and destination. For example ContributedTo, Produced, or DerivedFrom.
A filter that returns only associations of the specified type.
', ], ], 'AssociationEntityArn' => [ 'base' => NULL, 'refs' => [ 'AddAssociationRequest$SourceArn' => 'The ARN of the source.
', 'AddAssociationRequest$DestinationArn' => 'The Amazon Resource Name (ARN) of the destination.
', 'AddAssociationResponse$SourceArn' => 'The ARN of the source.
', 'AddAssociationResponse$DestinationArn' => 'The Amazon Resource Name (ARN) of the destination.
', 'AssociationSummary$SourceArn' => 'The ARN of the source.
', 'AssociationSummary$DestinationArn' => 'The Amazon Resource Name (ARN) of the destination.
', 'DeleteAssociationRequest$SourceArn' => 'The ARN of the source.
', 'DeleteAssociationRequest$DestinationArn' => 'The Amazon Resource Name (ARN) of the destination.
', 'DeleteAssociationResponse$SourceArn' => 'The ARN of the source.
', 'DeleteAssociationResponse$DestinationArn' => 'The Amazon Resource Name (ARN) of the destination.
', 'Edge$SourceArn' => 'The Amazon Resource Name (ARN) of the source lineage entity of the directed edge.
', 'Edge$DestinationArn' => 'The Amazon Resource Name (ARN) of the destination lineage entity of the directed edge.
', 'ListAssociationsRequest$SourceArn' => 'A filter that returns only associations with the specified source ARN.
', 'ListAssociationsRequest$DestinationArn' => 'A filter that returns only associations with the specified destination Amazon Resource Name (ARN).
', 'QueryLineageStartArns$member' => NULL, 'Vertex$Arn' => 'The Amazon Resource Name (ARN) of the lineage entity resource.
', ], ], 'AssociationSummaries' => [ 'base' => NULL, 'refs' => [ 'ListAssociationsResponse$AssociationSummaries' => 'A list of associations and their properties.
', ], ], 'AssociationSummary' => [ 'base' => 'Lists a summary of the properties of an association. An association is an entity that links other lineage or experiment entities. An example would be an association between a training job and a model.
', 'refs' => [ 'AssociationSummaries$member' => NULL, ], ], 'AssumableRoleArns' => [ 'base' => NULL, 'refs' => [ 'EmrSettings$AssumableRoleArns' => 'An array of Amazon Resource Names (ARNs) of the IAM roles that the execution role of SageMaker can assume for performing operations or tasks related to Amazon EMR clusters or Amazon EMR Serverless applications. These roles define the permissions and access policies required when performing Amazon EMR-related operations, such as listing, connecting to, or terminating Amazon EMR clusters or Amazon EMR Serverless applications. They are typically used in cross-account access scenarios, where the Amazon EMR resources (clusters or serverless applications) are located in a different Amazon Web Services account than the SageMaker domain.
', ], ], 'AsyncInferenceClientConfig' => [ 'base' => 'Configures the behavior of the client used by SageMaker to interact with the model container during asynchronous inference.
', 'refs' => [ 'AsyncInferenceConfig$ClientConfig' => 'Configures the behavior of the client used by SageMaker to interact with the model container during asynchronous inference.
', ], ], 'AsyncInferenceConfig' => [ 'base' => 'Specifies configuration for how an endpoint performs asynchronous inference.
', 'refs' => [ 'CreateEndpointConfigInput$AsyncInferenceConfig' => 'Specifies configuration for how an endpoint performs asynchronous inference. This is a required field in order for your Endpoint to be invoked using InvokeEndpointAsync.
', 'DescribeEndpointConfigOutput$AsyncInferenceConfig' => 'Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
Specifies the configuration for notifications of inference results for asynchronous inference.
', 'refs' => [ 'AsyncInferenceOutputConfig$NotificationConfig' => 'Specifies the configuration for notifications of inference results for asynchronous inference.
', ], ], 'AsyncInferenceOutputConfig' => [ 'base' => 'Specifies the configuration for asynchronous inference invocation outputs.
', 'refs' => [ 'AsyncInferenceConfig$OutputConfig' => 'Specifies the configuration for asynchronous inference invocation outputs.
', ], ], 'AsyncNotificationTopicTypeList' => [ 'base' => NULL, 'refs' => [ 'AsyncInferenceNotificationConfig$IncludeInferenceResponseIn' => 'The Amazon SNS topics where you want the inference response to be included.
The inference response is included only if the response size is less than or equal to 128 KB.
The name of the data catalog used in Athena query execution.
', 'refs' => [ 'AthenaDatasetDefinition$Catalog' => NULL, ], ], 'AthenaDatabase' => [ 'base' => 'The name of the database used in the Athena query execution.
', 'refs' => [ 'AthenaDatasetDefinition$Database' => NULL, ], ], 'AthenaDatasetDefinition' => [ 'base' => 'Configuration for Athena Dataset Definition input.
', 'refs' => [ 'DatasetDefinition$AthenaDatasetDefinition' => NULL, ], ], 'AthenaQueryString' => [ 'base' => 'The SQL query statements, to be executed.
', 'refs' => [ 'AthenaDatasetDefinition$QueryString' => NULL, ], ], 'AthenaResultCompressionType' => [ 'base' => 'The compression used for Athena query results.
', 'refs' => [ 'AthenaDatasetDefinition$OutputCompression' => NULL, ], ], 'AthenaResultFormat' => [ 'base' => 'The data storage format for Athena query results.
', 'refs' => [ 'AthenaDatasetDefinition$OutputFormat' => NULL, ], ], 'AthenaWorkGroup' => [ 'base' => 'The name of the workgroup in which the Athena query is being started.
', 'refs' => [ 'AthenaDatasetDefinition$WorkGroup' => NULL, ], ], 'AttributeName' => [ 'base' => NULL, 'refs' => [ 'AttributeNames$member' => NULL, ], ], 'AttributeNames' => [ 'base' => NULL, 'refs' => [ 'S3DataSource$AttributeNames' => 'A list of one or more attribute names to use that are found in a specified augmented manifest file.
', ], ], 'AuthMode' => [ 'base' => NULL, 'refs' => [ 'CreateDomainRequest$AuthMode' => 'The mode of authentication that members use to access the domain.
', 'DescribeDomainResponse$AuthMode' => 'The domain\'s authentication mode.
', ], ], 'AuthenticationRequestExtraParams' => [ 'base' => NULL, 'refs' => [ 'OidcConfig$AuthenticationRequestExtraParams' => 'A string to string map of identifiers specific to the custom identity provider (IdP) being used.
', 'OidcConfigForResponse$AuthenticationRequestExtraParams' => 'A string to string map of identifiers specific to the custom identity provider (IdP) being used.
', ], ], 'AuthenticationRequestExtraParamsKey' => [ 'base' => NULL, 'refs' => [ 'AuthenticationRequestExtraParams$key' => NULL, ], ], 'AuthenticationRequestExtraParamsValue' => [ 'base' => NULL, 'refs' => [ 'AuthenticationRequestExtraParams$value' => NULL, ], ], 'AutoGenerateEndpointName' => [ 'base' => NULL, 'refs' => [ 'ModelDeployConfig$AutoGenerateEndpointName' => 'Set to True to automatically generate an endpoint name for a one-click Autopilot model deployment; set to False otherwise. The default value is False.
If you set AutoGenerateEndpointName to True, do not specify the EndpointName; otherwise a 400 error is thrown.
The selection of algorithms trained on your dataset to generate the model candidates for an Autopilot job.
', 'refs' => [ 'AutoMLAlgorithmsConfig$member' => NULL, ], ], 'AutoMLAlgorithms' => [ 'base' => NULL, 'refs' => [ 'AutoMLAlgorithmConfig$AutoMLAlgorithms' => 'The selection of algorithms trained on your dataset to generate the model candidates for an Autopilot job.
For the tabular problem type TabularJobConfig:
Selected algorithms must belong to the list corresponding to the training mode set in AutoMLJobConfig.Mode (ENSEMBLING or HYPERPARAMETER_TUNING). Choose a minimum of 1 algorithm.
In ENSEMBLING mode:
"catboost"
"extra-trees"
"fastai"
"lightgbm"
"linear-learner"
"nn-torch"
"randomforest"
"xgboost"
In HYPERPARAMETER_TUNING mode:
"linear-learner"
"mlp"
"xgboost"
For the time-series forecasting problem type TimeSeriesForecastingJobConfig:
Choose your algorithms from this list.
"cnn-qr"
"deepar"
"prophet"
"arima"
"npts"
"ets"
Stores the configuration information for the selection of algorithms trained on tabular data.
The list of available algorithms to choose from depends on the training mode set in TabularJobConfig.Mode .
AlgorithmsConfig should not be set if the training mode is set on AUTO.
When AlgorithmsConfig is provided, one AutoMLAlgorithms attribute must be set and one only.
If the list of algorithms provided as values for AutoMLAlgorithms is empty, CandidateGenerationConfig uses the full set of algorithms for the given training mode.
When AlgorithmsConfig is not provided, CandidateGenerationConfig uses the full set of algorithms for the given training mode.
For the list of all algorithms per problem type and training mode, see AutoMLAlgorithmConfig.
For more information on each algorithm, see the Algorithm support section in Autopilot developer guide.
', 'CandidateGenerationConfig$AlgorithmsConfig' => 'Your Autopilot job trains a default set of algorithms on your dataset. For tabular and time-series data, you can customize the algorithm list by selecting a subset of algorithms for your problem type.
AlgorithmsConfig stores the customized selection of algorithms to train on your data.
For the tabular problem type TabularJobConfig, the list of available algorithms to choose from depends on the training mode set in AutoMLJobConfig.Mode .
AlgorithmsConfig should not be set when the training mode AutoMLJobConfig.Mode is set to AUTO.
When AlgorithmsConfig is provided, one AutoMLAlgorithms attribute must be set and one only.
If the list of algorithms provided as values for AutoMLAlgorithms is empty, CandidateGenerationConfig uses the full set of algorithms for the given training mode.
When AlgorithmsConfig is not provided, CandidateGenerationConfig uses the full set of algorithms for the given training mode.
For the list of all algorithms per training mode, see AlgorithmConfig.
For more information on each algorithm, see the Algorithm support section in the Autopilot developer guide.
For the time-series forecasting problem type TimeSeriesForecastingJobConfig, choose your algorithms from the list provided in AlgorithmConfig.
For more information on each algorithm, see the Algorithms support for time-series forecasting section in the Autopilot developer guide.
When AlgorithmsConfig is provided, one AutoMLAlgorithms attribute must be set and one only.
If the list of algorithms provided as values for AutoMLAlgorithms is empty, CandidateGenerationConfig uses the full set of algorithms for time-series forecasting.
When AlgorithmsConfig is not provided, CandidateGenerationConfig uses the full set of algorithms for time-series forecasting.
Information about a candidate produced by an AutoML training job, including its status, steps, and other properties.
', 'refs' => [ 'AutoMLCandidates$member' => NULL, 'DescribeAutoMLJobResponse$BestCandidate' => 'The best model candidate selected by SageMaker AI Autopilot using both the best objective metric and lowest InferenceLatency for an experiment.
', 'DescribeAutoMLJobV2Response$BestCandidate' => 'Information about the candidate produced by an AutoML training job V2, including its status, steps, and other properties.
', ], ], 'AutoMLCandidateGenerationConfig' => [ 'base' => 'Stores the configuration information for how a candidate is generated (optional).
', 'refs' => [ 'AutoMLJobConfig$CandidateGenerationConfig' => 'The configuration for generating a candidate for an AutoML job (optional).
', ], ], 'AutoMLCandidateStep' => [ 'base' => 'Information about the steps for a candidate and what step it is working on.
', 'refs' => [ 'CandidateSteps$member' => NULL, ], ], 'AutoMLCandidates' => [ 'base' => NULL, 'refs' => [ 'ListCandidatesForAutoMLJobResponse$Candidates' => 'Summaries about the AutoMLCandidates.
A channel is a named input source that training algorithms can consume. The validation dataset size is limited to less than 2 GB. The training dataset size must be less than 100 GB. For more information, see Channel.
A validation dataset must contain the same headers as the training dataset.
The channel type (optional) is an enum string. The default value is training. Channels for training and validation must share the same ContentType and TargetAttributeName. For information on specifying training and validation channel types, see How to specify training and validation datasets.
The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType
The type of channel defaults to training for the time-series forecasting problem type.
This data type is intended for use exclusively by SageMaker Canvas and cannot be used in other contexts at the moment.
Specifies the compute configuration for an AutoML job V2.
', 'refs' => [ 'CreateAutoMLJobV2Request$AutoMLComputeConfig' => 'Specifies the compute configuration for the AutoML job V2.
', 'DescribeAutoMLJobV2Response$AutoMLComputeConfig' => 'The compute configuration used for the AutoML job V2.
', ], ], 'AutoMLContainerDefinition' => [ 'base' => 'A list of container definitions that describe the different containers that make up an AutoML candidate. For more information, see ContainerDefinition.
', 'refs' => [ 'AutoMLContainerDefinitions$member' => NULL, ], ], 'AutoMLContainerDefinitions' => [ 'base' => NULL, 'refs' => [ 'AutoMLCandidate$InferenceContainers' => 'Information about the recommended inference container definitions.
', 'AutoMLInferenceContainerDefinitions$value' => 'Information about the recommended inference container definitions.
', ], ], 'AutoMLDataSource' => [ 'base' => 'The data source for the Autopilot job.
', 'refs' => [ 'AutoMLChannel$DataSource' => 'The data source for an AutoML channel.
', 'AutoMLJobChannel$DataSource' => 'The data source for an AutoML channel (Required).
', ], ], 'AutoMLDataSplitConfig' => [ 'base' => 'This structure specifies how to split the data into train and validation datasets.
The validation and training datasets must contain the same headers. For jobs created by calling CreateAutoMLJob, the validation dataset must be less than 2 GB in size.
The configuration for splitting the input training dataset.
Type: AutoMLDataSplitConfig
', 'CreateAutoMLJobV2Request$DataSplitConfig' => 'This structure specifies how to split the data into train and validation datasets.
The validation and training datasets must contain the same headers. For jobs created by calling CreateAutoMLJob, the validation dataset must be less than 2 GB in size.
This attribute must not be set for the time-series forecasting problem type, as Autopilot automatically splits the input dataset into training and validation sets.
Returns the configuration settings of how the data are split into train and validation datasets.
', ], ], 'AutoMLFailureReason' => [ 'base' => NULL, 'refs' => [ 'AutoMLCandidate$FailureReason' => 'The failure reason.
', 'AutoMLJobSummary$FailureReason' => 'The failure reason of an AutoML job.
', 'AutoMLPartialFailureReason$PartialFailureMessage' => 'The message containing the reason for a partial failure of an AutoML job.
', 'DescribeAutoMLJobResponse$FailureReason' => 'Returns the failure reason for an AutoML job, when applicable.
', 'DescribeAutoMLJobV2Response$FailureReason' => 'Returns the reason for the failure of the AutoML job V2, when applicable.
', ], ], 'AutoMLInferenceContainerDefinitions' => [ 'base' => 'The mapping of all supported processing unit (CPU, GPU, etc...) to inference container definitions for the candidate. This field is populated for the V2 API only (for example, for jobs created by calling CreateAutoMLJobV2).
The mapping of all supported processing unit (CPU, GPU, etc...) to inference container definitions for the candidate. This field is populated for the AutoML jobs V2 (for example, for jobs created by calling CreateAutoMLJobV2) related to image or text classification problem types only.
An array of channel objects that describes the input data and its location. Each channel is a named input source. Similar to InputDataConfig supported by HyperParameterTrainingJobDefinition. Format(s) supported: CSV, Parquet. A minimum of 500 rows is required for the training dataset. There is not a minimum number of rows required for the validation dataset.
Returns the input data configuration for the AutoML job.
', ], ], 'AutoMLJobArn' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the AutoML job.
', 'AutoMLJobSummary$AutoMLJobArn' => 'The ARN of the AutoML job.
', 'CreateAutoMLJobResponse$AutoMLJobArn' => 'The unique ARN assigned to the AutoML job when it is created.
', 'CreateAutoMLJobV2Response$AutoMLJobArn' => 'The unique ARN assigned to the AutoMLJob when it is created.
', 'DescribeAutoMLJobResponse$AutoMLJobArn' => 'Returns the ARN of the AutoML job.
', 'DescribeAutoMLJobV2Response$AutoMLJobArn' => 'Returns the Amazon Resource Name (ARN) of the AutoML job V2.
', 'DescribeProcessingJobResponse$AutoMLJobArn' => 'The ARN of an AutoML job associated with this processing job.
', 'DescribeTrainingJobResponse$AutoMLJobArn' => 'The Amazon Resource Name (ARN) of an AutoML job.
', 'DescribeTransformJobResponse$AutoMLJobArn' => 'The Amazon Resource Name (ARN) of the AutoML transform job.
', 'ProcessingJob$AutoMLJobArn' => 'The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.
', 'TrainingJob$AutoMLJobArn' => 'The Amazon Resource Name (ARN) of the job.
', 'TransformJob$AutoMLJobArn' => 'The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
', ], ], 'AutoMLJobArtifacts' => [ 'base' => 'The artifacts that are generated during an AutoML job.
', 'refs' => [ 'DescribeAutoMLJobResponse$AutoMLJobArtifacts' => 'Returns information on the job\'s artifacts found in AutoMLJobArtifacts.
A channel is a named input source that training algorithms can consume. This channel is used for AutoML jobs V2 (jobs created by calling CreateAutoMLJobV2).
', 'refs' => [ 'AutoMLJobInputDataConfig$member' => NULL, ], ], 'AutoMLJobCompletionCriteria' => [ 'base' => 'How long a job is allowed to run, or how many candidates a job is allowed to generate.
', 'refs' => [ 'AutoMLJobConfig$CompletionCriteria' => 'How long an AutoML job is allowed to run, or how many candidates a job is allowed to generate.
', 'AutoMLResolvedAttributes$CompletionCriteria' => NULL, 'ImageClassificationJobConfig$CompletionCriteria' => 'How long a job is allowed to run, or how many candidates a job is allowed to generate.
', 'ResolvedAttributes$CompletionCriteria' => NULL, 'TabularJobConfig$CompletionCriteria' => NULL, 'TextClassificationJobConfig$CompletionCriteria' => 'How long a job is allowed to run, or how many candidates a job is allowed to generate.
', 'TextGenerationJobConfig$CompletionCriteria' => 'How long a fine-tuning job is allowed to run. For TextGenerationJobConfig problem types, the MaxRuntimePerTrainingJobInSeconds attribute of AutoMLJobCompletionCriteria defaults to 72h (259200s).
A collection of settings used for an AutoML job.
', 'refs' => [ 'CreateAutoMLJobRequest$AutoMLJobConfig' => 'A collection of settings used to configure an AutoML job.
', 'DescribeAutoMLJobResponse$AutoMLJobConfig' => 'Returns the configuration for the AutoML job.
', ], ], 'AutoMLJobInputDataConfig' => [ 'base' => NULL, 'refs' => [ 'CreateAutoMLJobV2Request$AutoMLJobInputDataConfig' => 'An array of channel objects describing the input data and their location. Each channel is a named input source. Similar to the InputDataConfig attribute in the CreateAutoMLJob input parameters. The supported formats depend on the problem type:
For tabular problem types: S3Prefix, ManifestFile.
For image classification: S3Prefix, ManifestFile, AugmentedManifestFile.
For text classification: S3Prefix.
For time-series forecasting: S3Prefix.
For text generation (LLMs fine-tuning): S3Prefix.
Returns an array of channel objects describing the input data and their location.
', ], ], 'AutoMLJobName' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobSummary$AutoMLJobName' => 'The name of the AutoML job you are requesting.
', 'CreateAutoMLJobRequest$AutoMLJobName' => 'Identifies an Autopilot job. The name must be unique to your account and is case insensitive.
', 'CreateAutoMLJobV2Request$AutoMLJobName' => 'Identifies an Autopilot job. The name must be unique to your account and is case insensitive.
', 'DescribeAutoMLJobRequest$AutoMLJobName' => 'Requests information about an AutoML job using its unique name.
', 'DescribeAutoMLJobResponse$AutoMLJobName' => 'Returns the name of the AutoML job.
', 'DescribeAutoMLJobV2Request$AutoMLJobName' => 'Requests information about an AutoML job V2 using its unique name.
', 'DescribeAutoMLJobV2Response$AutoMLJobName' => 'Returns the name of the AutoML job V2.
', 'ListCandidatesForAutoMLJobRequest$AutoMLJobName' => 'List the candidates created for the job by providing the job\'s name.
', 'StopAutoMLJobRequest$AutoMLJobName' => 'The name of the object you are requesting.
', ], ], 'AutoMLJobObjective' => [ 'base' => 'Specifies a metric to minimize or maximize as the objective of an AutoML job.
', 'refs' => [ 'AutoMLResolvedAttributes$AutoMLJobObjective' => NULL, 'CreateAutoMLJobRequest$AutoMLJobObjective' => 'Specifies a metric to minimize or maximize as the objective of a job. If not specified, the default objective metric depends on the problem type. See AutoMLJobObjective for the default values.
', 'CreateAutoMLJobV2Request$AutoMLJobObjective' => 'Specifies a metric to minimize or maximize as the objective of a job. If not specified, the default objective metric depends on the problem type. For the list of default values per problem type, see AutoMLJobObjective.
For tabular problem types: You must either provide both the AutoMLJobObjective and indicate the type of supervised learning problem in AutoMLProblemTypeConfig (TabularJobConfig.ProblemType), or none at all.
For text generation problem types (LLMs fine-tuning): Fine-tuning language models in Autopilot does not require setting the AutoMLJobObjective field. Autopilot fine-tunes LLMs without requiring multiple candidates to be trained and evaluated. Instead, using your dataset, Autopilot directly fine-tunes your target model to enhance a default objective metric, the cross-entropy loss. After fine-tuning a language model, you can evaluate the quality of its generated text using different metrics. For a list of the available metrics, see Metrics for fine-tuning LLMs in Autopilot.
Returns the job\'s objective.
', 'DescribeAutoMLJobV2Response$AutoMLJobObjective' => 'Returns the job\'s objective.
', 'ResolvedAttributes$AutoMLJobObjective' => NULL, ], ], 'AutoMLJobObjectiveType' => [ 'base' => NULL, 'refs' => [ 'FinalAutoMLJobObjectiveMetric$Type' => 'The type of metric with the best result.
', ], ], 'AutoMLJobSecondaryStatus' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobSummary$AutoMLJobSecondaryStatus' => 'The secondary status of the AutoML job.
', 'DescribeAutoMLJobResponse$AutoMLJobSecondaryStatus' => 'Returns the secondary status of the AutoML job.
', 'DescribeAutoMLJobV2Response$AutoMLJobSecondaryStatus' => 'Returns the secondary status of the AutoML job V2.
', ], ], 'AutoMLJobStatus' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobSummary$AutoMLJobStatus' => 'The status of the AutoML job.
', 'DescribeAutoMLJobResponse$AutoMLJobStatus' => 'Returns the status of the AutoML job.
', 'DescribeAutoMLJobV2Response$AutoMLJobStatus' => 'Returns the status of the AutoML job V2.
', 'ListAutoMLJobsRequest$StatusEquals' => 'Request a list of jobs, using a filter for status.
', ], ], 'AutoMLJobStepMetadata' => [ 'base' => 'Metadata for an AutoML job step.
', 'refs' => [ 'PipelineExecutionStepMetadata$AutoMLJob' => 'The Amazon Resource Name (ARN) of the AutoML job that was run by this step.
', ], ], 'AutoMLJobSummaries' => [ 'base' => NULL, 'refs' => [ 'ListAutoMLJobsResponse$AutoMLJobSummaries' => 'Returns a summary list of jobs.
', ], ], 'AutoMLJobSummary' => [ 'base' => 'Provides a summary about an AutoML job.
', 'refs' => [ 'AutoMLJobSummaries$member' => NULL, ], ], 'AutoMLMaxResults' => [ 'base' => NULL, 'refs' => [ 'ListAutoMLJobsRequest$MaxResults' => 'Request a list of jobs up to a specified limit.
', ], ], 'AutoMLMaxResultsForTrials' => [ 'base' => NULL, 'refs' => [ 'ListCandidatesForAutoMLJobRequest$MaxResults' => 'List the job\'s candidates up to a specified limit.
', ], ], 'AutoMLMetricEnum' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobObjective$MetricName' => 'The name of the objective metric used to measure the predictive quality of a machine learning system. During training, the model\'s parameters are updated iteratively to optimize its performance based on the feedback provided by the objective metric when evaluating the model on the validation dataset.
The list of available metrics supported by Autopilot and the default metric applied when you do not specify a metric name explicitly depend on the problem type.
For tabular problem types:
List of available metrics:
Regression: MAE, MSE, R2, RMSE
Binary classification: Accuracy, AUC, BalancedAccuracy, F1, Precision, Recall
Multiclass classification: Accuracy, BalancedAccuracy, F1macro, PrecisionMacro, RecallMacro
For a description of each metric, see Autopilot metrics for classification and regression.
Default objective metrics:
Regression: MSE.
Binary classification: F1.
Multiclass classification: Accuracy.
For image or text classification problem types:
List of available metrics: Accuracy
For a description of each metric, see Autopilot metrics for text and image classification.
Default objective metrics: Accuracy
For time-series forecasting problem types:
List of available metrics: RMSE, wQL, Average wQL, MASE, MAPE, WAPE
For a description of each metric, see Autopilot metrics for time-series forecasting.
Default objective metrics: AverageWeightedQuantileLoss
For text generation problem types (LLMs fine-tuning): Fine-tuning language models in Autopilot does not require setting the AutoMLJobObjective field. Autopilot fine-tunes LLMs without requiring multiple candidates to be trained and evaluated. Instead, using your dataset, Autopilot directly fine-tunes your target model to enhance a default objective metric, the cross-entropy loss. After fine-tuning a language model, you can evaluate the quality of its generated text using different metrics. For a list of the available metrics, see Metrics for fine-tuning LLMs in Autopilot.
The name of the metric with the best result. For a description of the possible objective metrics, see AutoMLJobObjective$MetricName.
', 'FinalAutoMLJobObjectiveMetric$StandardMetricName' => 'The name of the standard metric. For a description of the standard metrics, see Autopilot candidate metrics.
', 'MetricDatum$MetricName' => 'The name of the metric.
', ], ], 'AutoMLMetricExtendedEnum' => [ 'base' => NULL, 'refs' => [ 'MetricDatum$StandardMetricName' => 'The name of the standard metric.
For definitions of the standard metrics, see Autopilot candidate metrics .
The method that Autopilot uses to train the data. You can either specify the mode manually or let Autopilot choose for you based on the dataset size by selecting AUTO. In AUTO mode, Autopilot chooses ENSEMBLING for datasets smaller than 100 MB, and HYPERPARAMETER_TUNING for larger ones.
The ENSEMBLING mode uses a multi-stack ensemble model to predict classification and regression tasks directly from your dataset. This machine learning mode combines several base models to produce an optimal predictive model. It then uses a stacking ensemble method to combine predictions from contributing members. A multi-stack ensemble model can provide better performance over a single model by combining the predictive capabilities of multiple models. See Autopilot algorithm support for a list of algorithms supported by ENSEMBLING mode.
The HYPERPARAMETER_TUNING (HPO) mode uses the best hyperparameters to train the best version of a model. HPO automatically selects an algorithm for the type of problem you want to solve. Then HPO finds the best hyperparameters according to your objective metric. See Autopilot algorithm support for a list of algorithms supported by HYPERPARAMETER_TUNING mode.
The method that Autopilot uses to train the data. You can either specify the mode manually or let Autopilot choose for you based on the dataset size by selecting AUTO. In AUTO mode, Autopilot chooses ENSEMBLING for datasets smaller than 100 MB, and HYPERPARAMETER_TUNING for larger ones.
The ENSEMBLING mode uses a multi-stack ensemble model to predict classification and regression tasks directly from your dataset. This machine learning mode combines several base models to produce an optimal predictive model. It then uses a stacking ensemble method to combine predictions from contributing members. A multi-stack ensemble model can provide better performance over a single model by combining the predictive capabilities of multiple models. See Autopilot algorithm support for a list of algorithms supported by ENSEMBLING mode.
The HYPERPARAMETER_TUNING (HPO) mode uses the best hyperparameters to train the best version of a model. HPO automatically selects an algorithm for the type of problem you want to solve. Then HPO finds the best hyperparameters according to your objective metric. See Autopilot algorithm support for a list of algorithms supported by HYPERPARAMETER_TUNING mode.
Request a list of jobs, using a search filter for name.
', ], ], 'AutoMLOutputDataConfig' => [ 'base' => 'The output data configuration.
', 'refs' => [ 'CreateAutoMLJobRequest$OutputDataConfig' => 'Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job. Format(s) supported: CSV.
', 'CreateAutoMLJobV2Request$OutputDataConfig' => 'Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job.
', 'DescribeAutoMLJobResponse$OutputDataConfig' => 'Returns the job\'s output data config.
', 'DescribeAutoMLJobV2Response$OutputDataConfig' => 'Returns the job\'s output data config.
', ], ], 'AutoMLPartialFailureReason' => [ 'base' => 'The reason for a partial failure of an AutoML job.
', 'refs' => [ 'AutoMLPartialFailureReasons$member' => NULL, ], ], 'AutoMLPartialFailureReasons' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobSummary$PartialFailureReasons' => 'The list of reasons for partial failures within an AutoML job.
', 'DescribeAutoMLJobResponse$PartialFailureReasons' => 'Returns a list of reasons for partial failures within an AutoML job.
', 'DescribeAutoMLJobV2Response$PartialFailureReasons' => 'Returns a list of reasons for partial failures within an AutoML job V2.
', ], ], 'AutoMLProblemTypeConfig' => [ 'base' => 'A collection of settings specific to the problem type used to configure an AutoML job V2. There must be one and only one config of the following type.
', 'refs' => [ 'CreateAutoMLJobV2Request$AutoMLProblemTypeConfig' => 'Defines the configuration settings of one of the supported problem types.
', 'DescribeAutoMLJobV2Response$AutoMLProblemTypeConfig' => 'Returns the configuration settings of the problem type set for the AutoML job V2.
', ], ], 'AutoMLProblemTypeConfigName' => [ 'base' => NULL, 'refs' => [ 'DescribeAutoMLJobV2Response$AutoMLProblemTypeConfigName' => 'Returns the name of the problem type configuration set for the AutoML job V2.
', ], ], 'AutoMLProblemTypeResolvedAttributes' => [ 'base' => 'Stores resolved attributes specific to the problem type of an AutoML job V2.
', 'refs' => [ 'AutoMLResolvedAttributes$AutoMLProblemTypeResolvedAttributes' => 'Defines the resolved attributes specific to a problem type.
', ], ], 'AutoMLProcessingUnit' => [ 'base' => NULL, 'refs' => [ 'AutoMLInferenceContainerDefinitions$key' => 'Processing unit for an inference container. Currently Autopilot only supports CPU or GPU.
The resolved attributes used to configure an AutoML job V2.
', 'refs' => [ 'DescribeAutoMLJobV2Response$ResolvedAttributes' => 'Returns the resolved attributes used by the AutoML job V2.
', ], ], 'AutoMLS3DataSource' => [ 'base' => 'Describes the Amazon S3 data source.
', 'refs' => [ 'AutoMLDataSource$S3DataSource' => 'The Amazon S3 location of the input data.
', ], ], 'AutoMLS3DataType' => [ 'base' => NULL, 'refs' => [ 'AutoMLS3DataSource$S3DataType' => 'The data type.
If you choose S3Prefix, S3Uri identifies a key name prefix. SageMaker AI uses all objects that match the specified key name prefix for model training.
The S3Prefix should have the following format:
s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE
If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want SageMaker AI to use for model training.
A ManifestFile should have the format shown below:
[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"},
"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1",
"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",
... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ]
If you choose AugmentedManifestFile, S3Uri identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. AugmentedManifestFile is available for V2 API jobs only (for example, for jobs created by calling CreateAutoMLJobV2).
Here is a minimal, single-record example of an AugmentedManifestFile:
{"source-ref": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/cats/cat.jpg",
"label-metadata": {"class-name": "cat" }
For more information on AugmentedManifestFile, see Provide Dataset Metadata to Training Jobs with an Augmented Manifest File.
Security options.
', 'refs' => [ 'AutoMLJobConfig$SecurityConfig' => 'The security configuration for traffic encryption or Amazon VPC settings.
', 'CreateAutoMLJobV2Request$SecurityConfig' => 'The security configuration for traffic encryption or Amazon VPC settings.
', 'DescribeAutoMLJobV2Response$SecurityConfig' => 'Returns the security configuration for traffic encryption or Amazon VPC settings.
', ], ], 'AutoMLSortBy' => [ 'base' => NULL, 'refs' => [ 'ListAutoMLJobsRequest$SortBy' => 'The parameter by which to sort the results. The default is Name.
The sort order for the results. The default is Descending.
The sort order for the results. The default is Ascending.
Indicates whether auto-mounting of an EFS volume is supported for the user profile. The DefaultAsDomain value is only supported for user profiles. Do not use the DefaultAsDomain value when setting this parameter for a domain.
SageMaker applies this setting only to private spaces that the user creates in the domain. SageMaker doesn\'t apply this setting to shared spaces.
', ], ], 'AutoParameter' => [ 'base' => 'The name and an example value of the hyperparameter that you want to use in Autotune. If Automatic model tuning (AMT) determines that your hyperparameter is eligible for Autotune, an optimal hyperparameter range is selected for you.
', 'refs' => [ 'AutoParameters$member' => NULL, ], ], 'AutoParameters' => [ 'base' => NULL, 'refs' => [ 'ParameterRanges$AutoParameters' => 'A list containing hyperparameter names and example values to be used by Autotune to determine optimal ranges for your tuning job.
', ], ], 'AutoRollbackConfig' => [ 'base' => 'Automatic rollback configuration for handling endpoint deployment failures and recovery.
', 'refs' => [ 'DeploymentConfig$AutoRollbackConfiguration' => 'Automatic rollback configuration for handling endpoint deployment failures and recovery.
', ], ], 'Autotune' => [ 'base' => 'A flag to indicate if you want to use Autotune to automatically find optimal values for the following fields:
ParameterRanges: The names and ranges of parameters that a hyperparameter tuning job can optimize.
ResourceLimits: The maximum resources that can be used for a training job. These resources include the maximum number of training jobs, the maximum runtime of a tuning job, and the maximum number of training jobs to run at the same time.
TrainingJobEarlyStoppingType: A flag that specifies whether or not to use early stopping for training jobs launched by a hyperparameter tuning job.
RetryStrategy: The number of times to retry a training job.
Strategy: Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training jobs that it launches.
ConvergenceDetected: A flag to indicate that Automatic model tuning (AMT) has detected model convergence.
Configures SageMaker Automatic model tuning (AMT) to automatically find optimal parameters for the following fields:
ParameterRanges: The names and ranges of parameters that a hyperparameter tuning job can optimize.
ResourceLimits: The maximum resources that can be used for a training job. These resources include the maximum number of training jobs, the maximum runtime of a tuning job, and the maximum number of training jobs to run at the same time.
TrainingJobEarlyStoppingType: A flag that specifies whether or not to use early stopping for training jobs launched by a hyperparameter tuning job.
RetryStrategy: The number of times to retry a training job.
Strategy: Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training jobs that it launches.
ConvergenceDetected: A flag to indicate that Automatic model tuning (AMT) has detected model convergence.
A flag to indicate if autotune is enabled for the hyperparameter tuning job.
', ], ], 'AutotuneMode' => [ 'base' => NULL, 'refs' => [ 'Autotune$Mode' => 'Set Mode to Enabled if you want to use Autotune.
The availability zone for the reserved capacity offering.
', 'ReservedCapacitySummary$AvailabilityZone' => 'The availability zone for the reserved capacity.
', ], ], 'AvailableInstanceCount' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingPlanResponse$AvailableInstanceCount' => 'The number of instances currently available for use in this training plan.
', 'TrainingPlanSummary$AvailableInstanceCount' => 'The number of instances currently available for use in this training plan.
', ], ], 'AwsManagedHumanLoopRequestSource' => [ 'base' => NULL, 'refs' => [ 'HumanLoopRequestSource$AwsManagedHumanLoopRequestSource' => 'Specifies whether Amazon Rekognition or Amazon Textract are used as the integration source. The default field settings and JSON parsing rules are different based on the integration source. Valid values:
', ], ], 'BacktestResultsLocation' => [ 'base' => NULL, 'refs' => [ 'CandidateArtifactLocations$BacktestResults' => 'The Amazon S3 prefix to the accuracy metrics and the inference results observed over the testing window. Available only for the time-series forecasting problem type.
', ], ], 'BaseModelName' => [ 'base' => NULL, 'refs' => [ 'TextGenerationJobConfig$BaseModelName' => 'The name of the base model to fine-tune. Autopilot supports fine-tuning a variety of large language models. For information on the list of supported models, see Text generation models supporting fine-tuning in Autopilot. If no BaseModelName is provided, the default model used is Falcon7BInstruct.
The name of the base model to fine-tune.
', ], ], 'BatchDataCaptureConfig' => [ 'base' => 'Configuration to control how SageMaker captures inference data for batch transform jobs.
', 'refs' => [ 'CreateTransformJobRequest$DataCaptureConfig' => 'Configuration to control how SageMaker captures inference data.
', 'DescribeTransformJobResponse$DataCaptureConfig' => 'Configuration to control how SageMaker captures inference data.
', 'TransformJob$DataCaptureConfig' => NULL, ], ], 'BatchDeleteClusterNodesError' => [ 'base' => 'Represents an error encountered when deleting a node from a SageMaker HyperPod cluster.
', 'refs' => [ 'BatchDeleteClusterNodesErrorList$member' => NULL, ], ], 'BatchDeleteClusterNodesErrorCode' => [ 'base' => NULL, 'refs' => [ 'BatchDeleteClusterNodesError$Code' => 'The error code associated with the error encountered when deleting a node.
The code provides information about the specific issue encountered, such as the node not being found, the node\'s status being invalid for deletion, or the node ID being in use by another process.
', ], ], 'BatchDeleteClusterNodesErrorList' => [ 'base' => NULL, 'refs' => [ 'BatchDeleteClusterNodesResponse$Failed' => 'A list of errors encountered when deleting the specified nodes.
', ], ], 'BatchDeleteClusterNodesRequest' => [ 'base' => NULL, 'refs' => [], ], 'BatchDeleteClusterNodesResponse' => [ 'base' => NULL, 'refs' => [], ], 'BatchDescribeModelPackageError' => [ 'base' => 'The error code and error description associated with the resource.
', 'refs' => [ 'BatchDescribeModelPackageErrorMap$value' => NULL, ], ], 'BatchDescribeModelPackageErrorMap' => [ 'base' => NULL, 'refs' => [ 'BatchDescribeModelPackageOutput$BatchDescribeModelPackageErrorMap' => 'A map of the resource and BatchDescribeModelPackageError objects reporting the error associated with describing the model package.
', ], ], 'BatchDescribeModelPackageInput' => [ 'base' => NULL, 'refs' => [], ], 'BatchDescribeModelPackageOutput' => [ 'base' => NULL, 'refs' => [], ], 'BatchDescribeModelPackageSummary' => [ 'base' => 'Provides summary information about the model package.
', 'refs' => [ 'ModelPackageSummaries$value' => NULL, ], ], 'BatchStrategy' => [ 'base' => NULL, 'refs' => [ 'CreateTransformJobRequest$BatchStrategy' => 'Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
To enable the batch strategy, you must set the SplitType property to Line, RecordIO, or TFRecord.
To use only one record when making an HTTP invocation request to a container, set BatchStrategy to SingleRecord and SplitType to Line.
To fit as many records in a mini-batch as can fit within the MaxPayloadInMB limit, set BatchStrategy to MultiRecord and SplitType to Line.
Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
To enable the batch strategy, you must set SplitType to Line, RecordIO, or TFRecord.
Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
', 'TransformJobDefinition$BatchStrategy' => 'A string that determines the number of records included in a single mini-batch.
SingleRecord means only one record is used per mini-batch. MultiRecord means a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB limit.
Input object for the batch transform job.
', 'refs' => [ 'DataQualityJobInput$BatchTransformInput' => 'Input object for the batch transform job.
', 'ModelBiasJobInput$BatchTransformInput' => 'Input object for the batch transform job.
', 'ModelDashboardMonitoringSchedule$BatchTransformInput' => NULL, 'ModelExplainabilityJobInput$BatchTransformInput' => 'Input object for the batch transform job.
', 'ModelQualityJobInput$BatchTransformInput' => 'Input object for the batch transform job.
', 'MonitoringInput$BatchTransformInput' => 'Input object for the batch transform job.
', ], ], 'BestObjectiveNotImproving' => [ 'base' => 'A structure that keeps track of which training jobs launched by your hyperparameter tuning job are not improving model performance as evaluated against an objective function.
', 'refs' => [ 'TuningJobCompletionCriteria$BestObjectiveNotImproving' => 'A flag to stop your hyperparameter tuning job if model performance fails to improve as evaluated against an objective function.
', ], ], 'Bias' => [ 'base' => 'Contains bias metrics for a model.
', 'refs' => [ 'ModelMetrics$Bias' => 'Metrics that measure bias in a model.
', ], ], 'BillableTimeInSeconds' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingJobResponse$BillableTimeInSeconds' => 'The billable time in seconds. Billable time refers to the absolute wall-clock time.
Multiply BillableTimeInSeconds by the number of instances (InstanceCount) in your training cluster to get the total compute time SageMaker bills you if you run distributed training. The formula is as follows: BillableTimeInSeconds * InstanceCount .
You can calculate the savings from using managed spot training using the formula (1 - BillableTimeInSeconds / TrainingTimeInSeconds) * 100. For example, if BillableTimeInSeconds is 100 and TrainingTimeInSeconds is 500, the savings is 80%.
The billable time in seconds.
', ], ], 'BlockedReason' => [ 'base' => NULL, 'refs' => [ 'OfflineStoreStatus$BlockedReason' => 'The justification for why the OfflineStoreStatus is Blocked (if applicable).
', ], ], 'BlueGreenUpdatePolicy' => [ 'base' => 'Update policy for a blue/green deployment. If this update policy is specified, SageMaker creates a new fleet during the deployment while maintaining the old fleet. SageMaker flips traffic to the new fleet according to the specified traffic routing configuration. Only one update policy should be used in the deployment configuration. If no update policy is specified, SageMaker uses a blue/green deployment strategy with all at once traffic shifting by default.
', 'refs' => [ 'DeploymentConfig$BlueGreenUpdatePolicy' => 'Update policy for a blue/green deployment. If this update policy is specified, SageMaker creates a new fleet during the deployment while maintaining the old fleet. SageMaker flips traffic to the new fleet according to the specified traffic routing configuration. Only one update policy should be used in the deployment configuration. If no update policy is specified, SageMaker uses a blue/green deployment strategy with all at once traffic shifting by default.
', ], ], 'Boolean' => [ 'base' => NULL, 'refs' => [ 'AlgorithmSpecification$EnableSageMakerMetricsTimeSeries' => 'To generate and save time-series metrics during training, set to true. The default is false and time-series metrics aren\'t generated except in the following cases:
You use one of the SageMaker built-in algorithms
You use one of the following Prebuilt SageMaker Docker Images:
Tensorflow (version >= 1.15)
MXNet (version >= 1.6)
PyTorch (version >= 1.3)
You specify at least one MetricDefinition
Whether to use traffic encryption between the container layers.
', 'BatchDataCaptureConfig$GenerateInferenceId' => 'Flag that indicates whether to append inference id to the output.
', 'ChannelSpecification$IsRequired' => 'Indicates whether the channel is required by the algorithm.
', 'ClarifyCheckStepMetadata$SkipCheck' => 'This flag indicates if the drift check against the previous baseline will be skipped or not. If it is set to False, the previous baseline of the configured check type must be available.
This flag indicates if a newly calculated baseline can be accessed through step properties BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics. If it is set to False, the previous baseline of the configured check type must also be available. These can be accessed through the BaselineUsedForDriftCheckConstraints property.
Sets whether all model containers deployed to the endpoint are isolated. If they are, no inbound or outbound network calls can be made to or from the model containers.
', 'CreateMlflowTrackingServerRequest$AutomaticModelRegistration' => 'Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. To enable automatic model registration, set this value to True. To disable automatic model registration, set this value to False. If not specified, AutomaticModelRegistration defaults to False.
Isolates the model container. No inbound or outbound network calls can be made to or from the model container.
', 'CreatePartnerAppRequest$EnableIamSessionBasedIdentity' => 'When set to TRUE, the SageMaker Partner AI App sets the Amazon Web Services IAM session name or the authenticated IAM user as the identity of the SageMaker Partner AI App user.
Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If you enable network isolation for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
', 'CreateTrainingJobRequest$EnableInterContainerTrafficEncryption' => 'To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training. For more information, see Protect Communications Between ML Compute Instances in a Distributed Training Job.
To train models using managed spot training, choose True. Managed spot training provides a fully managed and scalable infrastructure for training machine learning models. this option is useful when training jobs can be interrupted and when there is flexibility when the training job is run.
The complete and intermediate results of jobs are stored in an Amazon S3 bucket, and can be used as a starting point to train models incrementally. Amazon SageMaker provides metrics and logs in CloudWatch. They can be used to see when managed spot training jobs are running, interrupted, resumed, or completed.
', 'DescribeEndpointConfigOutput$EnableNetworkIsolation' => 'Indicates whether all model containers deployed to the endpoint are isolated. If they are, no inbound or outbound network calls can be made to or from the model containers.
', 'DescribeMlflowTrackingServerResponse$AutomaticModelRegistration' => 'Whether automatic registration of new MLflow models to the SageMaker Model Registry is enabled.
', 'DescribeModelOutput$EnableNetworkIsolation' => 'If True, no inbound or outbound network calls can be made to or from the model container.
When set to TRUE, the SageMaker Partner AI App sets the Amazon Web Services IAM session name or the authenticated IAM user as the identity of the SageMaker Partner AI App user.
If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster for distributed training, choose True. If you enable network isolation for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithms in distributed training.
A Boolean indicating whether managed spot training is enabled (True) or not (False).
Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.
', 'HyperParameterSpecification$IsRequired' => 'Indicates whether this hyperparameter is required.
', 'HyperParameterTrainingJobDefinition$EnableNetworkIsolation' => 'Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If network isolation is used for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
', 'HyperParameterTrainingJobDefinition$EnableInterContainerTrafficEncryption' => 'To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.
A Boolean indicating whether managed spot training is enabled (True) or not (False).
Toggle for excluding devices deployed in other stages.
', 'Model$EnableNetworkIsolation' => 'Isolates the model container. No inbound or outbound network calls can be made to or from the model container.
', 'ModelDashboardIndicatorAction$Enabled' => 'Indicates whether the alert action is turned on.
', 'MonitoringCsvDatasetFormat$Header' => 'Indicates if the CSV data has a header.
', 'MonitoringJsonDatasetFormat$Line' => 'Indicates if the file should be read as a JSON object per line.
', 'MonitoringNetworkConfig$EnableInterContainerTrafficEncryption' => 'Whether to encrypt all communications between the instances used for the monitoring jobs. Choose True to encrypt communications. Encryption provides greater security for distributed jobs, but the processing might take longer.
Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.
', 'NetworkConfig$EnableInterContainerTrafficEncryption' => 'Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.
Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
', 'OfflineStoreConfig$DisableGlueTableCreation' => 'Set to True to disable the automatic creation of an Amazon Web Services Glue table when configuring an OfflineStore. If set to False, Feature Store will name the OfflineStore Glue table following Athena\'s naming recommendations.
The default value is False.
Turn OnlineStore off by specifying False for the EnableOnlineStore flag. Turn OnlineStore on by specifying True for the EnableOnlineStore flag.
The default value is False.
This flag indicates if the drift check against the previous baseline will be skipped or not. If it is set to False, the previous baseline of the configured check type must be available.
This flag indicates if a newly calculated baseline can be accessed through step properties BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics. If it is set to False, the previous baseline of the configured check type must also be available. These can be accessed through the BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics properties.
Setting this value to True retrieves not only the entities of interest but also the Associations and lineage entities on the path. Set to False to only return lineage entities that match your query.
If the TrainingJob was created with network isolation, the value is set to true. If network isolation is enabled, nodes can\'t communicate beyond the VPC they run in.
To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.
When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of on-demand instances. For more information, see Managed Spot Training.
', 'TrainingSpecification$SupportsDistributedTraining' => 'Indicates whether the algorithm supports distributed training. If set to false, buyers can\'t request more than one instance during training.
', 'UpdateEndpointInput$RetainAllVariantProperties' => 'When updating endpoint resources, enables or disables the retention of variant properties, such as the instance count or the variant weight. To retain the variant properties of an endpoint when updating it, set RetainAllVariantProperties to true. To use the variant properties specified in a new EndpointConfig call when updating an endpoint, set RetainAllVariantProperties to false. The default is false.
Specifies whether to reuse the last deployment configuration. The default value is false (the configuration is not reused).
', 'UpdateMlflowTrackingServerRequest$AutomaticModelRegistration' => 'Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. To enable automatic model registration, set this value to True. To disable automatic model registration, set this value to False. If not specified, AutomaticModelRegistration defaults to False
When set to TRUE, the SageMaker Partner AI App sets the Amazon Web Services IAM session name or the authenticated IAM user as the identity of the SageMaker Partner AI App user.
A Boolean operator used to evaluate the search expression. If you want every conditional statement in all lists to be satisfied for the entire search expression to be true, specify And. If only a single conditional statement needs to be true for the entire search expression to be true, specify Or. The default value is And.
The limit on how much idle compute can be borrowed.The values can be 1 - 500 percent of idle compute that the team is allowed to borrow.
Default is 50.
The default branch for the Git repository.
', ], ], 'BucketName' => [ 'base' => NULL, 'refs' => [ 'PipelineDefinitionS3Location$Bucket' => 'Name of the S3 bucket.
', ], ], 'CacheHitResult' => [ 'base' => 'Details on the cache hit of a pipeline execution step.
', 'refs' => [ 'PipelineExecutionStep$CacheHitResult' => 'If this pipeline execution step was cached, details on the cache hit.
', ], ], 'CallbackStepMetadata' => [ 'base' => 'Metadata about a callback step.
', 'refs' => [ 'PipelineExecutionStepMetadata$Callback' => 'The URL of the Amazon SQS queue used by this step execution, the pipeline generated token, and a list of output parameters.
', ], ], 'CallbackToken' => [ 'base' => NULL, 'refs' => [ 'CallbackStepMetadata$CallbackToken' => 'The pipeline generated token from the Amazon SQS queue.
', 'SendPipelineExecutionStepFailureRequest$CallbackToken' => 'The pipeline generated token from the Amazon SQS queue.
', 'SendPipelineExecutionStepSuccessRequest$CallbackToken' => 'The pipeline generated token from the Amazon SQS queue.
', ], ], 'CandidateArtifactLocations' => [ 'base' => 'The location of artifacts for an AutoML candidate job.
', 'refs' => [ 'CandidateProperties$CandidateArtifactLocations' => 'The Amazon S3 prefix to the artifacts generated for an AutoML candidate.
', ], ], 'CandidateDefinitionNotebookLocation' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobArtifacts$CandidateDefinitionNotebookLocation' => 'The URL of the notebook location.
', ], ], 'CandidateGenerationConfig' => [ 'base' => 'Stores the configuration information for how model candidates are generated using an AutoML job V2.
', 'refs' => [ 'TabularJobConfig$CandidateGenerationConfig' => 'The configuration information of how model candidates are generated.
', 'TimeSeriesForecastingJobConfig$CandidateGenerationConfig' => NULL, ], ], 'CandidateName' => [ 'base' => NULL, 'refs' => [ 'AutoMLCandidate$CandidateName' => 'The name of the candidate.
', 'ListCandidatesForAutoMLJobRequest$CandidateNameEquals' => 'List the candidates for the job and filter by candidate name.
', ], ], 'CandidateProperties' => [ 'base' => 'The properties of an AutoML candidate job.
', 'refs' => [ 'AutoMLCandidate$CandidateProperties' => 'The properties of an AutoML candidate job.
', ], ], 'CandidateSortBy' => [ 'base' => NULL, 'refs' => [ 'ListCandidatesForAutoMLJobRequest$SortBy' => 'The parameter by which to sort the results. The default is Descending.
The candidate\'s status.
', 'ListCandidatesForAutoMLJobRequest$StatusEquals' => 'List the candidates for the job and filter by status.
', ], ], 'CandidateStepArn' => [ 'base' => NULL, 'refs' => [ 'AutoMLCandidateStep$CandidateStepArn' => 'The ARN for the candidate\'s step.
', ], ], 'CandidateStepName' => [ 'base' => NULL, 'refs' => [ 'AutoMLCandidateStep$CandidateStepName' => 'The name for the candidate\'s step.
', ], ], 'CandidateStepType' => [ 'base' => NULL, 'refs' => [ 'AutoMLCandidateStep$CandidateStepType' => 'Whether the candidate is at the transform, training, or processing step.
', ], ], 'CandidateSteps' => [ 'base' => NULL, 'refs' => [ 'AutoMLCandidate$CandidateSteps' => 'Information about the candidate\'s steps.
', ], ], 'CanvasAppSettings' => [ 'base' => 'The SageMaker Canvas application settings.
', 'refs' => [ 'UserSettings$CanvasAppSettings' => 'The Canvas app settings.
SageMaker applies these settings only to private spaces that SageMaker creates for the Canvas app.
', ], ], 'CapacitySize' => [ 'base' => 'Specifies the type and size of the endpoint capacity to activate for a blue/green deployment, a rolling deployment, or a rollback strategy. You can specify your batches as either instance count or the overall percentage or your fleet.
For a rollback strategy, if you don\'t specify the fields in this object, or if you set the Value to 100%, then SageMaker uses a blue/green rollback strategy and rolls all traffic back to the blue fleet.
Batch size for each rolling step to provision capacity and turn on traffic on the new endpoint fleet, and terminate capacity on the old endpoint fleet. Value must be between 5% to 50% of the variant\'s total instance count.
', 'RollingUpdatePolicy$RollbackMaximumBatchSize' => 'Batch size for rollback to the old endpoint fleet. Each rolling step to provision capacity and turn on traffic on the old endpoint fleet, and terminate capacity on the new endpoint fleet. If this field is absent, the default value will be set to 100% of total capacity which means to bring up the whole capacity of the old fleet at once during rollback.
', 'TrafficRoutingConfig$CanarySize' => 'Batch size for the first step to turn on traffic on the new endpoint fleet. Value must be less than or equal to 50% of the variant\'s total instance count.
Batch size for each step to turn on traffic on the new endpoint fleet. Value must be 10-50% of the variant\'s total instance count.
Specifies the endpoint capacity type.
INSTANCE_COUNT: The endpoint activates based on the number of instances.
CAPACITY_PERCENT: The endpoint activates based on the specified percentage of capacity.
Defines the capacity size, either as a number of instances or a capacity percentage.
', ], ], 'CapacityUnit' => [ 'base' => NULL, 'refs' => [ 'ThroughputConfig$ProvisionedReadCapacityUnits' => 'For provisioned feature groups with online store enabled, this indicates the read throughput you are billed for and can consume without throttling.
This field is not applicable for on-demand feature groups.
', 'ThroughputConfig$ProvisionedWriteCapacityUnits' => 'For provisioned feature groups, this indicates the write throughput you are billed for and can consume without throttling.
This field is not applicable for on-demand feature groups.
', 'ThroughputConfigDescription$ProvisionedReadCapacityUnits' => 'For provisioned feature groups with online store enabled, this indicates the read throughput you are billed for and can consume without throttling.
This field is not applicable for on-demand feature groups.
', 'ThroughputConfigDescription$ProvisionedWriteCapacityUnits' => 'For provisioned feature groups, this indicates the write throughput you are billed for and can consume without throttling.
This field is not applicable for on-demand feature groups.
', 'ThroughputConfigUpdate$ProvisionedReadCapacityUnits' => 'For provisioned feature groups with online store enabled, this indicates the read throughput you are billed for and can consume without throttling.
', 'ThroughputConfigUpdate$ProvisionedWriteCapacityUnits' => 'For provisioned feature groups, this indicates the write throughput you are billed for and can consume without throttling.
', ], ], 'CaptureContentTypeHeader' => [ 'base' => 'Configuration specifying how to treat different headers. If no headers are specified Amazon SageMaker AI will by default base64 encode when capturing the data.
', 'refs' => [ 'DataCaptureConfig$CaptureContentTypeHeader' => 'Configuration specifying how to treat different headers. If no headers are specified SageMaker AI will by default base64 encode when capturing the data.
', 'InferenceExperimentDataStorageConfig$ContentType' => NULL, ], ], 'CaptureMode' => [ 'base' => NULL, 'refs' => [ 'CaptureOption$CaptureMode' => 'Specify the boundary of data to capture.
', ], ], 'CaptureOption' => [ 'base' => 'Specifies data Model Monitor will capture.
', 'refs' => [ 'CaptureOptionList$member' => NULL, ], ], 'CaptureOptionList' => [ 'base' => NULL, 'refs' => [ 'DataCaptureConfig$CaptureOptions' => 'Specifies data Model Monitor will capture. You can configure whether to collect only input, only output, or both
', ], ], 'CaptureStatus' => [ 'base' => NULL, 'refs' => [ 'DataCaptureConfigSummary$CaptureStatus' => 'Whether data capture is currently functional.
', ], ], 'Catalog' => [ 'base' => NULL, 'refs' => [ 'DataCatalogConfig$Catalog' => 'The name of the Glue table catalog.
', ], ], 'CategoricalParameter' => [ 'base' => 'Environment parameters you want to benchmark your load test against.
', 'refs' => [ 'CategoricalParameters$member' => NULL, ], ], 'CategoricalParameterRange' => [ 'base' => 'A list of categorical hyperparameters to tune.
', 'refs' => [ 'CategoricalParameterRanges$member' => NULL, ], ], 'CategoricalParameterRangeSpecification' => [ 'base' => 'Defines the possible values for a categorical hyperparameter.
', 'refs' => [ 'ParameterRange$CategoricalParameterRangeSpecification' => 'A CategoricalParameterRangeSpecification object that defines the possible values for a categorical hyperparameter.
The list of values you can pass.
', ], ], 'CategoricalParameterRanges' => [ 'base' => NULL, 'refs' => [ 'ParameterRanges$CategoricalParameterRanges' => 'The array of CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a hyperparameter tuning job searches.
', ], ], 'CategoricalParameters' => [ 'base' => NULL, 'refs' => [ 'EnvironmentParameterRanges$CategoricalParameterRanges' => 'Specified a list of parameters for each category.
', ], ], 'Cents' => [ 'base' => NULL, 'refs' => [ 'USD$Cents' => 'The fractional portion, in cents, of the amount.
', ], ], 'CertifyForMarketplace' => [ 'base' => NULL, 'refs' => [ 'CreateAlgorithmInput$CertifyForMarketplace' => 'Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.
', 'CreateModelPackageInput$CertifyForMarketplace' => 'Whether to certify the model package for listing on Amazon Web Services Marketplace.
This parameter is optional for unversioned models, and does not apply to versioned models.
', 'DescribeAlgorithmOutput$CertifyForMarketplace' => 'Whether the algorithm is certified to be listed in Amazon Web Services Marketplace.
', 'DescribeModelPackageOutput$CertifyForMarketplace' => 'Whether the model package is certified for listing on Amazon Web Services Marketplace.
', 'ModelPackage$CertifyForMarketplace' => 'Whether the model package is to be certified to be listed on Amazon Web Services Marketplace. For information about listing model packages on Amazon Web Services Marketplace, see List Your Algorithm or Model Package on Amazon Web Services Marketplace.
', ], ], 'Channel' => [ 'base' => 'A channel is a named input source that training algorithms can consume.
', 'refs' => [ 'InputDataConfig$member' => NULL, ], ], 'ChannelName' => [ 'base' => NULL, 'refs' => [ 'Channel$ChannelName' => 'The name of the channel.
', 'ChannelSpecification$Name' => 'The name of the channel.
', ], ], 'ChannelSpecification' => [ 'base' => 'Defines a named input source, called a channel, to be used by an algorithm.
', 'refs' => [ 'ChannelSpecifications$member' => NULL, ], ], 'ChannelSpecifications' => [ 'base' => NULL, 'refs' => [ 'TrainingSpecification$TrainingChannels' => 'A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.
Contains information about the output location for managed spot training checkpoint data.
', 'refs' => [ 'CreateTrainingJobRequest$CheckpointConfig' => 'Contains information about the output location for managed spot training checkpoint data.
', 'DescribeTrainingJobResponse$CheckpointConfig' => NULL, 'HyperParameterTrainingJobDefinition$CheckpointConfig' => NULL, 'TrainingJob$CheckpointConfig' => NULL, ], ], 'Cidr' => [ 'base' => NULL, 'refs' => [ 'Cidrs$member' => NULL, ], ], 'Cidrs' => [ 'base' => NULL, 'refs' => [ 'SourceIpConfig$Cidrs' => 'A list of one to ten Classless Inter-Domain Routing (CIDR) values.
Maximum: Ten CIDR values
The following Length Constraints apply to individual CIDR values in the CIDR value list.
The container for the metadata for the ClarifyCheck step. For more information, see the topic on ClarifyCheck step in the Amazon SageMaker Developer Guide.
', 'refs' => [ 'PipelineExecutionStepMetadata$ClarifyCheck' => 'Container for the metadata for a Clarify check step. The configurations and outcomes of the check step execution. This includes:
The type of the check conducted,
The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.
The Amazon S3 URIs of newly calculated baseline constraints and statistics.
The model package group name provided.
The Amazon S3 URI of the violation report if violations detected.
The Amazon Resource Name (ARN) of check processing job initiated by the step execution.
The boolean flags indicating if the drift check is skipped.
If step property BaselineUsedForDriftCheck is set the same as CalculatedBaseline.
A template string used to format a JSON record into an acceptable model container input. For example, a ContentTemplate string \'{"myfeatures":$features}\' will format a list of features [1,2,3] into the record string \'{"myfeatures":[1,2,3]}\'. Required only when the model container input is in JSON Lines format.
A JMESPath boolean expression used to filter which records to explain. Explanations are activated by default. See EnableExplanations for additional information.
The configuration parameters for the SageMaker Clarify explainer.
', 'refs' => [ 'ExplainerConfig$ClarifyExplainerConfig' => 'A member of ExplainerConfig that contains configuration parameters for the SageMaker Clarify explainer.
The names of the features. If provided, these are included in the endpoint response payload to help readability of the InvokeEndpoint output. See the Response section under Invoke the endpoint in the Developer Guide for more information.
A list of data types of the features (optional). Applicable only to NLP explainability. If provided, FeatureTypes must have at least one \'text\' string (for example, [\'text\']). If FeatureTypes is not provided, the explainer infers the feature types based on the baseline data. The feature types are included in the endpoint response payload. For additional information see the response section under Invoke the endpoint in the Developer Guide for more information.
Provides the JMESPath expression to extract the features from a model container input in JSON Lines format. For example, if FeaturesAttribute is the JMESPath expression \'myfeatures\', it extracts a list of features [1,2,3] from request data \'{"myfeatures":[1,2,3]}\'.
The inference configuration parameter for the model container.
', 'refs' => [ 'ClarifyExplainerConfig$InferenceConfig' => 'The inference configuration parameter for the model container.
', ], ], 'ClarifyLabelAttribute' => [ 'base' => NULL, 'refs' => [ 'ClarifyInferenceConfig$LabelAttribute' => 'A JMESPath expression used to locate the list of label headers in the model container output.
Example: If the model container output of a batch request is \'{"labels":["cat","dog","fish"],"probability":[0.6,0.3,0.1]}\', then set LabelAttribute to \'labels\' to extract the list of label headers ["cat","dog","fish"]
For multiclass classification problems, the label headers are the names of the classes. Otherwise, the label header is the name of the predicted label. These are used to help readability for the output of the InvokeEndpoint API. See the response section under Invoke the endpoint in the Developer Guide for more information. If there are no label headers in the model container output, provide them manually using this parameter.
A zero-based index used to extract a label header or list of label headers from model container output in CSV format.
Example for a multiclass model: If the model container output consists of label headers followed by probabilities: \'"[\\\'cat\\\',\\\'dog\\\',\\\'fish\\\']","[0.1,0.6,0.3]"\', set LabelIndex to 0 to select the label headers [\'cat\',\'dog\',\'fish\'].
The maximum payload size (MB) allowed of a request from the explainer to the model container. Defaults to 6 MB.
The maximum number of records in a request that the model container can process when querying the model container for the predictions of a synthetic dataset. A record is a unit of input data that inference can be made on, for example, a single line in CSV data. If MaxRecordCount is 1, the model container expects one record per request. A value of 2 or greater means that the model expects batch requests, which can reduce overhead and speed up the inferencing process. If this parameter is not provided, the explainer will tune the record count per request according to the model container\'s capacity at runtime.
The MIME type of the baseline data. Choose from \'text/csv\' or \'application/jsonlines\'. Defaults to \'text/csv\'.
A JMESPath expression used to extract the probability (or score) from the model container output if the model container is in JSON Lines format.
Example: If the model container output of a single request is \'{"predicted_label":1,"probability":0.6}\', then set ProbabilityAttribute to \'probability\'.
A zero-based index used to extract a probability value (score) or list from model container output in CSV format. If this value is not provided, the entire model container output will be treated as a probability value (score) or list.
Example for a single class model: If the model container output consists of a string-formatted prediction label followed by its probability: \'1,0.6\', set ProbabilityIndex to 1 to select the probability value 0.6.
Example for a multiclass model: If the model container output consists of a string-formatted prediction label followed by its probability: \'"[\\\'cat\\\',\\\'dog\\\',\\\'fish\\\']","[0.1,0.6,0.3]"\', set ProbabilityIndex to 1 to select the probability values [0.1,0.6,0.3].
The inline SHAP baseline data in string format. ShapBaseline can have one or multiple records to be used as the baseline dataset. The format of the SHAP baseline file should be the same format as the training dataset. For example, if the training dataset is in CSV format and each record contains four features, and all features are numerical, then the format of the baseline data should also share these characteristics. For natural language processing (NLP) of text columns, the baseline value should be the value used to replace the unit of text specified by the Granularity of the TextConfig parameter. The size limit for ShapBasline is 4 KB. Use the ShapBaselineUri parameter if you want to provide more than 4 KB of baseline data.
The configuration for the SHAP baseline (also called the background or reference dataset) of the Kernal SHAP algorithm.
The number of records in the baseline data determines the size of the synthetic dataset, which has an impact on latency of explainability requests. For more information, see the Synthetic data of Configure and create an endpoint.
ShapBaseline and ShapBaselineUri are mutually exclusive parameters. One or the either is required to configure a SHAP baseline.
The configuration for the SHAP baseline of the Kernal SHAP algorithm.
', ], ], 'ClarifyShapConfig' => [ 'base' => 'The configuration for SHAP analysis using SageMaker Clarify Explainer.
', 'refs' => [ 'ClarifyExplainerConfig$ShapConfig' => 'The configuration for SHAP analysis.
', ], ], 'ClarifyShapNumberOfSamples' => [ 'base' => NULL, 'refs' => [ 'ClarifyShapConfig$NumberOfSamples' => 'The number of samples to be used for analysis by the Kernal SHAP algorithm.
The number of samples determines the size of the synthetic dataset, which has an impact on latency of explainability requests. For more information, see the Synthetic data of Configure and create an endpoint.
The starting value used to initialize the random number generator in the explainer. Provide a value for this parameter to obtain a deterministic SHAP result.
', ], ], 'ClarifyShapUseLogit' => [ 'base' => NULL, 'refs' => [ 'ClarifyShapConfig$UseLogit' => 'A Boolean toggle to indicate if you want to use the logit function (true) or log-odds units (false) for model predictions. Defaults to false.
', ], ], 'ClarifyTextConfig' => [ 'base' => 'A parameter used to configure the SageMaker Clarify explainer to treat text features as text so that explanations are provided for individual units of text. Required only for natural language processing (NLP) explainability.
', 'refs' => [ 'ClarifyShapConfig$TextConfig' => 'A parameter that indicates if text features are treated as text and explanations are provided for individual units of text. Required for natural language processing (NLP) explainability only.
', ], ], 'ClarifyTextGranularity' => [ 'base' => NULL, 'refs' => [ 'ClarifyTextConfig$Granularity' => 'The unit of granularity for the analysis of text features. For example, if the unit is \'token\', then each token (like a word in English) of the text is treated as a feature. SHAP values are computed for each unit/feature.
Specifies the language of the text features in ISO 639-1 or ISO 639-3 code of a supported language.
For a mix of multiple languages, use code \'xx\'.
The client ID for your Amazon Cognito user pool.
', 'CognitoMemberDefinition$ClientId' => 'An identifier for an application client. You must create the app client ID using Amazon Cognito.
', 'OidcConfig$ClientId' => 'The OIDC IdP client ID used to configure your private workforce.
', 'OidcConfigForResponse$ClientId' => 'The OIDC IdP client ID used to configure your private workforce.
', ], ], 'ClientSecret' => [ 'base' => NULL, 'refs' => [ 'OidcConfig$ClientSecret' => 'The OIDC IdP client secret used to configure your private workforce.
', ], ], 'ClientToken' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionRequest$ClientToken' => 'A unique ID. If not specified, the Amazon Web Services CLI and Amazon Web Services SDKs, such as the SDK for Python (Boto3), add a unique value to the call.
', 'CreateModelPackageInput$ClientToken' => 'A unique token that guarantees that the call to this API is idempotent.
', 'CreatePartnerAppRequest$ClientToken' => 'A unique token that guarantees that the call to this API is idempotent.
', 'DeletePartnerAppRequest$ClientToken' => 'A unique token that guarantees that the call to this API is idempotent.
', 'UpdateModelPackageInput$ClientToken' => 'A unique token that guarantees that the call to this API is idempotent.
', 'UpdatePartnerAppRequest$ClientToken' => 'A unique token that guarantees that the call to this API is idempotent.
', ], ], 'ClusterArn' => [ 'base' => NULL, 'refs' => [ 'ClusterSchedulerConfigSummary$ClusterArn' => 'ARN of the cluster.
', 'ClusterSummary$ClusterArn' => 'The Amazon Resource Name (ARN) of the SageMaker HyperPod cluster.
', 'ComputeQuotaSummary$ClusterArn' => 'ARN of the cluster.
', 'CreateClusterResponse$ClusterArn' => 'The Amazon Resource Name (ARN) of the cluster.
', 'CreateClusterSchedulerConfigRequest$ClusterArn' => 'ARN of the cluster.
', 'CreateComputeQuotaRequest$ClusterArn' => 'ARN of the cluster.
', 'DeleteClusterResponse$ClusterArn' => 'The Amazon Resource Name (ARN) of the SageMaker HyperPod cluster to delete.
', 'DescribeClusterResponse$ClusterArn' => 'The Amazon Resource Name (ARN) of the SageMaker HyperPod cluster.
', 'DescribeClusterSchedulerConfigResponse$ClusterArn' => 'ARN of the cluster where the cluster policy is applied.
', 'DescribeComputeQuotaResponse$ClusterArn' => 'ARN of the cluster.
', 'ListClusterSchedulerConfigsRequest$ClusterArn' => 'Filter for ARN of the cluster.
', 'ListComputeQuotasRequest$ClusterArn' => 'Filter for ARN of the cluster.
', 'UpdateClusterResponse$ClusterArn' => 'The Amazon Resource Name (ARN) of the updated SageMaker HyperPod cluster.
', 'UpdateClusterSoftwareResponse$ClusterArn' => 'The Amazon Resource Name (ARN) of the SageMaker HyperPod cluster being updated for security patching.
', ], ], 'ClusterAvailabilityZone' => [ 'base' => NULL, 'refs' => [ 'ClusterInstancePlacement$AvailabilityZone' => 'The Availability Zone where the node in the SageMaker HyperPod cluster is launched.
', ], ], 'ClusterAvailabilityZoneId' => [ 'base' => NULL, 'refs' => [ 'ClusterInstancePlacement$AvailabilityZoneId' => 'The unique identifier (ID) of the Availability Zone where the node in the SageMaker HyperPod cluster is launched.
', ], ], 'ClusterEbsVolumeConfig' => [ 'base' => 'Defines the configuration for attaching an additional Amazon Elastic Block Store (EBS) volume to each instance of the SageMaker HyperPod cluster instance group. To learn more, see SageMaker HyperPod release notes: June 20, 2024.
', 'refs' => [ 'ClusterInstanceStorageConfig$EbsVolumeConfig' => 'Defines the configuration for attaching additional Amazon Elastic Block Store (EBS) volumes to the instances in the SageMaker HyperPod cluster instance group. The additional EBS volume is attached to each instance within the SageMaker HyperPod cluster instance group and mounted to /opt/sagemaker.
The size in gigabytes (GB) of the additional EBS volume to be attached to the instances in the SageMaker HyperPod cluster instance group. The additional EBS volume is attached to each instance within the SageMaker HyperPod cluster instance group and mounted to /opt/sagemaker.
The number of instances you specified to add to the instance group of a SageMaker HyperPod cluster.
', 'ClusterInstanceGroupSpecification$InstanceCount' => 'Specifies the number of instances to add to the instance group of a SageMaker HyperPod cluster.
', ], ], 'ClusterInstanceGroupDetails' => [ 'base' => 'Details of an instance group in a SageMaker HyperPod cluster.
', 'refs' => [ 'ClusterInstanceGroupDetailsList$member' => NULL, ], ], 'ClusterInstanceGroupDetailsList' => [ 'base' => NULL, 'refs' => [ 'DescribeClusterResponse$InstanceGroups' => 'The instance groups of the SageMaker HyperPod cluster.
', ], ], 'ClusterInstanceGroupName' => [ 'base' => NULL, 'refs' => [ 'ClusterInstanceGroupDetails$InstanceGroupName' => 'The name of the instance group of a SageMaker HyperPod cluster.
', 'ClusterInstanceGroupSpecification$InstanceGroupName' => 'Specifies the name of the instance group.
', 'ClusterNodeDetails$InstanceGroupName' => 'The instance group name in which the instance is.
', 'ClusterNodeSummary$InstanceGroupName' => 'The name of the instance group in which the instance is.
', 'ListClusterNodesRequest$InstanceGroupNameContains' => 'A filter that returns the instance groups whose name contain a specified string.
', ], ], 'ClusterInstanceGroupSpecification' => [ 'base' => 'The specifications of an instance group that you need to define.
', 'refs' => [ 'ClusterInstanceGroupSpecifications$member' => NULL, ], ], 'ClusterInstanceGroupSpecifications' => [ 'base' => NULL, 'refs' => [ 'CreateClusterRequest$InstanceGroups' => 'The instance groups to be created in the SageMaker HyperPod cluster.
', 'UpdateClusterRequest$InstanceGroups' => 'Specify the instance groups to update.
', ], ], 'ClusterInstancePlacement' => [ 'base' => 'Specifies the placement details for the node in the SageMaker HyperPod cluster, including the Availability Zone and the unique identifier (ID) of the Availability Zone.
', 'refs' => [ 'ClusterNodeDetails$Placement' => 'The placement details of the SageMaker HyperPod cluster node.
', ], ], 'ClusterInstanceStatus' => [ 'base' => NULL, 'refs' => [ 'ClusterInstanceStatusDetails$Status' => 'The status of an instance in a SageMaker HyperPod cluster.
', ], ], 'ClusterInstanceStatusDetails' => [ 'base' => 'Details of an instance in a SageMaker HyperPod cluster.
', 'refs' => [ 'ClusterNodeDetails$InstanceStatus' => 'The status of the instance.
', 'ClusterNodeSummary$InstanceStatus' => 'The status of the instance.
', ], ], 'ClusterInstanceStorageConfig' => [ 'base' => 'Defines the configuration for attaching additional storage to the instances in the SageMaker HyperPod cluster instance group. To learn more, see SageMaker HyperPod release notes: June 20, 2024.
', 'refs' => [ 'ClusterInstanceStorageConfigs$member' => NULL, ], ], 'ClusterInstanceStorageConfigs' => [ 'base' => NULL, 'refs' => [ 'ClusterInstanceGroupDetails$InstanceStorageConfigs' => 'The additional storage configurations for the instances in the SageMaker HyperPod cluster instance group.
', 'ClusterInstanceGroupSpecification$InstanceStorageConfigs' => 'Specifies the additional storage configurations for the instances in the SageMaker HyperPod cluster instance group.
', 'ClusterNodeDetails$InstanceStorageConfigs' => 'The configurations of additional storage specified to the instance group where the instance (node) is launched.
', ], ], 'ClusterInstanceType' => [ 'base' => NULL, 'refs' => [ 'ClusterInstanceGroupDetails$InstanceType' => 'The instance type of the instance group of a SageMaker HyperPod cluster.
', 'ClusterInstanceGroupSpecification$InstanceType' => 'Specifies the instance type of the instance group.
', 'ClusterNodeDetails$InstanceType' => 'The type of the instance.
', 'ClusterNodeSummary$InstanceType' => 'The type of the instance.
', 'ComputeQuotaResourceConfig$InstanceType' => 'The instance type of the instance group for the cluster.
', ], ], 'ClusterLifeCycleConfig' => [ 'base' => 'The lifecycle configuration for a SageMaker HyperPod cluster.
', 'refs' => [ 'ClusterInstanceGroupDetails$LifeCycleConfig' => 'Details of LifeCycle configuration for the instance group.
', 'ClusterInstanceGroupSpecification$LifeCycleConfig' => 'Specifies the LifeCycle configuration for the instance group.
', 'ClusterNodeDetails$LifeCycleConfig' => 'The LifeCycle configuration applied to the instance.
', ], ], 'ClusterLifeCycleConfigFileName' => [ 'base' => NULL, 'refs' => [ 'ClusterLifeCycleConfig$OnCreate' => 'The file name of the entrypoint script of lifecycle scripts under SourceS3Uri. This entrypoint script runs during cluster creation.
The name of the SageMaker HyperPod cluster.
', 'CreateClusterRequest$ClusterName' => 'The name for the new SageMaker HyperPod cluster.
', 'DescribeClusterResponse$ClusterName' => 'The name of the SageMaker HyperPod cluster.
', ], ], 'ClusterNameOrArn' => [ 'base' => NULL, 'refs' => [ 'BatchDeleteClusterNodesRequest$ClusterName' => 'The name of the SageMaker HyperPod cluster from which to delete the specified nodes.
', 'DeleteClusterRequest$ClusterName' => 'The string name or the Amazon Resource Name (ARN) of the SageMaker HyperPod cluster to delete.
', 'DescribeClusterNodeRequest$ClusterName' => 'The string name or the Amazon Resource Name (ARN) of the SageMaker HyperPod cluster in which the node is.
', 'DescribeClusterRequest$ClusterName' => 'The string name or the Amazon Resource Name (ARN) of the SageMaker HyperPod cluster.
', 'ListClusterNodesRequest$ClusterName' => 'The string name or the Amazon Resource Name (ARN) of the SageMaker HyperPod cluster in which you want to retrieve the list of nodes.
', 'UpdateClusterRequest$ClusterName' => 'Specify the name of the SageMaker HyperPod cluster you want to update.
', 'UpdateClusterSoftwareRequest$ClusterName' => 'Specify the name or the Amazon Resource Name (ARN) of the SageMaker HyperPod cluster you want to update for security patching.
', ], ], 'ClusterNodeDetails' => [ 'base' => 'Details of an instance (also called a node interchangeably) in a SageMaker HyperPod cluster.
', 'refs' => [ 'DescribeClusterNodeResponse$NodeDetails' => 'The details of the SageMaker HyperPod cluster node.
', ], ], 'ClusterNodeId' => [ 'base' => NULL, 'refs' => [ 'BatchDeleteClusterNodesError$NodeId' => 'The ID of the node that encountered an error during the deletion process.
', 'ClusterNodeIds$member' => NULL, 'DescribeClusterNodeRequest$NodeId' => 'The ID of the SageMaker HyperPod cluster node.
', ], ], 'ClusterNodeIds' => [ 'base' => NULL, 'refs' => [ 'BatchDeleteClusterNodesRequest$NodeIds' => 'A list of node IDs to be deleted from the specified cluster.
For SageMaker HyperPod clusters using the Slurm workload manager, you cannot remove instances that are configured as Slurm controller nodes.
A list of node IDs that were successfully deleted from the specified cluster.
', ], ], 'ClusterNodeRecovery' => [ 'base' => NULL, 'refs' => [ 'CreateClusterRequest$NodeRecovery' => 'The node recovery mode for the SageMaker HyperPod cluster. When set to Automatic, SageMaker HyperPod will automatically reboot or replace faulty nodes when issues are detected. When set to None, cluster administrators will need to manually manage any faulty cluster instances.
The node recovery mode configured for the SageMaker HyperPod cluster.
', 'UpdateClusterRequest$NodeRecovery' => 'The node recovery mode to be applied to the SageMaker HyperPod cluster.
', ], ], 'ClusterNodeSummaries' => [ 'base' => NULL, 'refs' => [ 'ListClusterNodesResponse$ClusterNodeSummaries' => 'The summaries of listed instances in a SageMaker HyperPod cluster
', ], ], 'ClusterNodeSummary' => [ 'base' => 'Lists a summary of the properties of an instance (also called a node interchangeably) of a SageMaker HyperPod cluster.
', 'refs' => [ 'ClusterNodeSummaries$member' => NULL, ], ], 'ClusterNonNegativeInstanceCount' => [ 'base' => NULL, 'refs' => [ 'ClusterInstanceGroupDetails$CurrentCount' => 'The number of instances that are currently in the instance group of a SageMaker HyperPod cluster.
', ], ], 'ClusterOrchestrator' => [ 'base' => 'The type of orchestrator used for the SageMaker HyperPod cluster.
', 'refs' => [ 'CreateClusterRequest$Orchestrator' => 'The type of orchestrator to use for the SageMaker HyperPod cluster. Currently, the only supported value is "eks", which is to use an Amazon Elastic Kubernetes Service (EKS) cluster as the orchestrator.
The type of orchestrator used for the SageMaker HyperPod cluster.
', ], ], 'ClusterOrchestratorEksConfig' => [ 'base' => 'The configuration settings for the Amazon EKS cluster used as the orchestrator for the SageMaker HyperPod cluster.
', 'refs' => [ 'ClusterOrchestrator$Eks' => 'The Amazon EKS cluster used as the orchestrator for the SageMaker HyperPod cluster.
', ], ], 'ClusterPrivateDnsHostname' => [ 'base' => NULL, 'refs' => [ 'ClusterNodeDetails$PrivateDnsHostname' => 'The private DNS hostname of the SageMaker HyperPod cluster node.
', ], ], 'ClusterPrivatePrimaryIp' => [ 'base' => NULL, 'refs' => [ 'ClusterNodeDetails$PrivatePrimaryIp' => 'The private primary IP address of the SageMaker HyperPod cluster node.
', ], ], 'ClusterPrivatePrimaryIpv6' => [ 'base' => NULL, 'refs' => [ 'ClusterNodeDetails$PrivatePrimaryIpv6' => 'The private primary IPv6 address of the SageMaker HyperPod cluster node.
', ], ], 'ClusterSchedulerConfigArn' => [ 'base' => NULL, 'refs' => [ 'ClusterSchedulerConfigSummary$ClusterSchedulerConfigArn' => 'ARN of the cluster policy.
', 'CreateClusterSchedulerConfigResponse$ClusterSchedulerConfigArn' => 'ARN of the cluster policy.
', 'DescribeClusterSchedulerConfigResponse$ClusterSchedulerConfigArn' => 'ARN of the cluster policy.
', 'UpdateClusterSchedulerConfigResponse$ClusterSchedulerConfigArn' => 'ARN of the cluster policy.
', ], ], 'ClusterSchedulerConfigId' => [ 'base' => NULL, 'refs' => [ 'ClusterSchedulerConfigSummary$ClusterSchedulerConfigId' => 'ID of the cluster policy.
', 'CreateClusterSchedulerConfigResponse$ClusterSchedulerConfigId' => 'ID of the cluster policy.
', 'DeleteClusterSchedulerConfigRequest$ClusterSchedulerConfigId' => 'ID of the cluster policy.
', 'DescribeClusterSchedulerConfigRequest$ClusterSchedulerConfigId' => 'ID of the cluster policy.
', 'DescribeClusterSchedulerConfigResponse$ClusterSchedulerConfigId' => 'ID of the cluster policy.
', 'UpdateClusterSchedulerConfigRequest$ClusterSchedulerConfigId' => 'ID of the cluster policy.
', ], ], 'ClusterSchedulerConfigSummary' => [ 'base' => 'Summary of the cluster policy.
', 'refs' => [ 'ClusterSchedulerConfigSummaryList$member' => NULL, ], ], 'ClusterSchedulerConfigSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListClusterSchedulerConfigsResponse$ClusterSchedulerConfigSummaries' => 'Summaries of the cluster policies.
', ], ], 'ClusterSchedulerPriorityClassName' => [ 'base' => NULL, 'refs' => [ 'PriorityClass$Name' => 'Name of the priority class.
', ], ], 'ClusterSortBy' => [ 'base' => NULL, 'refs' => [ 'ListClusterNodesRequest$SortBy' => 'The field by which to sort results. The default value is CREATION_TIME.
The field by which to sort results. The default value is CREATION_TIME.
The status of the SageMaker HyperPod cluster.
', 'DescribeClusterResponse$ClusterStatus' => 'The status of the SageMaker HyperPod cluster.
', ], ], 'ClusterSummaries' => [ 'base' => NULL, 'refs' => [ 'ListClustersResponse$ClusterSummaries' => 'The summaries of listed SageMaker HyperPod clusters.
', ], ], 'ClusterSummary' => [ 'base' => 'Lists a summary of the properties of a SageMaker HyperPod cluster.
', 'refs' => [ 'ClusterSummaries$member' => NULL, ], ], 'ClusterThreadsPerCore' => [ 'base' => NULL, 'refs' => [ 'ClusterInstanceGroupDetails$ThreadsPerCore' => 'The number you specified to TreadsPerCore in CreateCluster for enabling or disabling multithreading. For instance types that support multithreading, you can specify 1 for disabling multithreading and 2 for enabling multithreading. For more information, see the reference table of CPU cores and threads per CPU core per instance type in the Amazon Elastic Compute Cloud User Guide.
Specifies the value for Threads per core. For instance types that support multithreading, you can specify 1 for disabling multithreading and 2 for enabling multithreading. For instance types that doesn\'t support multithreading, specify 1. For more information, see the reference table of CPU cores and threads per CPU core per instance type in the Amazon Elastic Compute Cloud User Guide.
The number of threads per CPU core you specified under CreateCluster.
The configuration for the file system and kernels in a SageMaker image running as a Code Editor app. The FileSystemConfig object is not supported.
The configuration for the file system and the runtime, such as the environment variables and entry point.
', 'CreateAppImageConfigRequest$CodeEditorAppImageConfig' => 'The CodeEditorAppImageConfig. You can only specify one image kernel in the AppImageConfig API. This kernel is shown to users before the image starts. After the image runs, all kernels are visible in Code Editor.
The configuration of the Code Editor app.
', 'UpdateAppImageConfigRequest$CodeEditorAppImageConfig' => 'The Code Editor app running on the image.
', ], ], 'CodeEditorAppSettings' => [ 'base' => 'The Code Editor application settings.
For more information about Code Editor, see Get started with Code Editor in Amazon SageMaker.
', 'refs' => [ 'UserSettings$CodeEditorAppSettings' => 'The Code Editor application settings.
SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn\'t apply these settings to shared spaces.
', ], ], 'CodeRepositories' => [ 'base' => NULL, 'refs' => [ 'JupyterLabAppSettings$CodeRepositories' => 'A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.
', 'JupyterServerAppSettings$CodeRepositories' => 'A list of Git repositories that SageMaker AI automatically displays to users for cloning in the JupyterServer application.
', 'SpaceJupyterLabAppSettings$CodeRepositories' => 'A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.
', ], ], 'CodeRepository' => [ 'base' => 'A Git repository that SageMaker AI automatically displays to users for cloning in the JupyterServer application.
', 'refs' => [ 'CodeRepositories$member' => NULL, ], ], 'CodeRepositoryArn' => [ 'base' => NULL, 'refs' => [ 'CodeRepositorySummary$CodeRepositoryArn' => 'The Amazon Resource Name (ARN) of the Git repository.
', 'CreateCodeRepositoryOutput$CodeRepositoryArn' => 'The Amazon Resource Name (ARN) of the new repository.
', 'DescribeCodeRepositoryOutput$CodeRepositoryArn' => 'The Amazon Resource Name (ARN) of the Git repository.
', 'UpdateCodeRepositoryOutput$CodeRepositoryArn' => 'The ARN of the Git repository.
', ], ], 'CodeRepositoryContains' => [ 'base' => NULL, 'refs' => [ 'ListNotebookInstancesInput$DefaultCodeRepositoryContains' => 'A string in the name or URL of a Git repository associated with this notebook instance. This filter returns only notebook instances associated with a git repository with a name that contains the specified string.
', ], ], 'CodeRepositoryNameContains' => [ 'base' => NULL, 'refs' => [ 'ListCodeRepositoriesInput$NameContains' => 'A string in the Git repositories name. This filter returns only repositories whose name contains the specified string.
', ], ], 'CodeRepositoryNameOrUrl' => [ 'base' => NULL, 'refs' => [ 'AdditionalCodeRepositoryNamesOrUrls$member' => NULL, 'CreateNotebookInstanceInput$DefaultCodeRepository' => 'A Git repository to associate with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.
', 'DescribeNotebookInstanceOutput$DefaultCodeRepository' => 'The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.
', 'ListNotebookInstancesInput$AdditionalCodeRepositoryEquals' => 'A filter that returns only notebook instances with associated with the specified git repository.
', 'NotebookInstanceSummary$DefaultCodeRepository' => 'The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.
', 'UpdateNotebookInstanceInput$DefaultCodeRepository' => 'The Git repository to associate with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker AI Notebook Instances.
', ], ], 'CodeRepositorySortBy' => [ 'base' => NULL, 'refs' => [ 'ListCodeRepositoriesInput$SortBy' => 'The field to sort results by. The default is Name.
The sort order for results. The default is Ascending.
Specifies summary information about a Git repository.
', 'refs' => [ 'CodeRepositorySummaryList$member' => NULL, ], ], 'CodeRepositorySummaryList' => [ 'base' => NULL, 'refs' => [ 'ListCodeRepositoriesOutput$CodeRepositorySummaryList' => 'Gets a list of summaries of the Git repositories. Each summary specifies the following values for the repository:
Name
Amazon Resource Name (ARN)
Creation time
Last modified time
Configuration information, including the URL location of the repository and the ARN of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository.
Use this parameter to configure your Amazon Cognito workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool.
', 'refs' => [ 'CreateWorkforceRequest$CognitoConfig' => 'Use this parameter to configure an Amazon Cognito private workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool.
Do not use OidcConfig if you specify values for CognitoConfig.
The configuration of an Amazon Cognito workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool.
', ], ], 'CognitoMemberDefinition' => [ 'base' => 'Identifies a Amazon Cognito user group. A user group can be used in on or more work teams.
', 'refs' => [ 'MemberDefinition$CognitoMemberDefinition' => 'The Amazon Cognito user group that is part of the work team.
', ], ], 'CognitoUserGroup' => [ 'base' => NULL, 'refs' => [ 'CognitoMemberDefinition$UserGroup' => 'An identifier for a user group.
', ], ], 'CognitoUserPool' => [ 'base' => NULL, 'refs' => [ 'CognitoConfig$UserPool' => 'A user pool is a user directory in Amazon Cognito. With a user pool, your users can sign in to your web or mobile app through Amazon Cognito. Your users can also sign in through social identity providers like Google, Facebook, Amazon, or Apple, and through SAML identity providers.
', 'CognitoMemberDefinition$UserPool' => 'An identifier for a user pool. The user pool must be in the same region as the service that you are calling.
', ], ], 'CollectionConfig' => [ 'base' => 'Configuration for your collection.
', 'refs' => [ 'FeatureDefinition$CollectionConfig' => 'Configuration for your collection.
', ], ], 'CollectionConfiguration' => [ 'base' => 'Configuration information for the Amazon SageMaker Debugger output tensor collections.
', 'refs' => [ 'CollectionConfigurations$member' => NULL, ], ], 'CollectionConfigurations' => [ 'base' => NULL, 'refs' => [ 'DebugHookConfig$CollectionConfigurations' => 'Configuration information for Amazon SageMaker Debugger tensor collections. To learn more about how to configure the CollectionConfiguration parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.
The name of the tensor collection. The name must be unique relative to other rule configuration names.
', ], ], 'CollectionParameters' => [ 'base' => NULL, 'refs' => [ 'CollectionConfiguration$CollectionParameters' => 'Parameter values for the tensor collection. The allowed parameters are "name", "include_regex", "reduction_config", "save_config", "tensor_names", and "save_histogram".
A grouping of elements where each element within the collection must have the same feature type (String, Integral, or Fractional).
List: An ordered collection of elements.
Set: An unordered collection of unique elements.
Vector: A specialized list that represents a fixed-size array of elements. The vector dimension is determined by you. Must have elements with fractional feature types.
The Amazon Resource Name (ARN) of the model compilation job.
', 'CreateCompilationJobResponse$CompilationJobArn' => 'If the action is successful, the service sends back an HTTP 200 response. Amazon SageMaker AI returns the following data in JSON format:
CompilationJobArn: The Amazon Resource Name (ARN) of the compiled job.
The Amazon Resource Name (ARN) of the model compilation job.
', ], ], 'CompilationJobStatus' => [ 'base' => NULL, 'refs' => [ 'CompilationJobSummary$CompilationJobStatus' => 'The status of the model compilation job.
', 'DescribeCompilationJobResponse$CompilationJobStatus' => 'The status of the model compilation job.
', 'ListCompilationJobsRequest$StatusEquals' => 'A filter that retrieves model compilation jobs with a specific CompilationJobStatus status.
An array of CompilationJobSummary objects, each describing a model compilation job.
', ], ], 'CompilationJobSummary' => [ 'base' => 'A summary of a model compilation job.
', 'refs' => [ 'CompilationJobSummaries$member' => NULL, ], ], 'CompilerOptions' => [ 'base' => NULL, 'refs' => [ 'OutputConfig$CompilerOptions' => 'Specifies additional parameters for compiler options in JSON format. The compiler options are TargetPlatform specific. It is required for NVIDIA accelerators and highly recommended for CPU compilations. For any other cases, it is optional to specify CompilerOptions.
DTYPE: Specifies the data type for the input. When compiling for ml_* (except for ml_inf) instances using PyTorch framework, provide the data type (dtype) of the model\'s input. "float32" is used if "DTYPE" is not specified. Options for data type are:
float32: Use either "float" or "float32".
int64: Use either "int64" or "long".
For example, {"dtype" : "float32"}.
CPU: Compilation for CPU supports the following compiler options.
mcpu: CPU micro-architecture. For example, {\'mcpu\': \'skylake-avx512\'}
mattr: CPU flags. For example, {\'mattr\': [\'+neon\', \'+vfpv4\']}
ARM: Details of ARM CPU compilations.
NEON: NEON is an implementation of the Advanced SIMD extension used in ARMv7 processors.
For example, add {\'mattr\': [\'+neon\']} to the compiler options if compiling for ARM 32-bit platform with the NEON support.
NVIDIA: Compilation for NVIDIA GPU supports the following compiler options.
gpu_code: Specifies the targeted architecture.
trt-ver: Specifies the TensorRT versions in x.y.z. format.
cuda-ver: Specifies the CUDA version in x.y format.
For example, {\'gpu-code\': \'sm_72\', \'trt-ver\': \'6.0.1\', \'cuda-ver\': \'10.1\'}
ANDROID: Compilation for the Android OS supports the following compiler options:
ANDROID_PLATFORM: Specifies the Android API levels. Available levels range from 21 to 29. For example, {\'ANDROID_PLATFORM\': 28}.
mattr: Add {\'mattr\': [\'+neon\']} to compiler options if compiling for ARM 32-bit platform with NEON support.
INFERENTIA: Compilation for target ml_inf1 uses compiler options passed in as a JSON string. For example, "CompilerOptions": "\\"--verbose 1 --num-neuroncores 2 -O2\\"".
For information about supported compiler options, see Neuron Compiler CLI Reference Guide.
CoreML: Compilation for the CoreML OutputConfig TargetDevice supports the following compiler options:
class_labels: Specifies the classification labels file name inside input tar.gz file. For example, {"class_labels": "imagenet_labels_1000.txt"}. Labels inside the txt file should be separated by newlines.
A flag to stop a tuning job once AMT has detected that the job has converged.
', ], ], 'CompressionType' => [ 'base' => NULL, 'refs' => [ 'AdditionalS3DataSource$CompressionType' => 'The type of compression used for an additional data source used in inference or training. Specify None if your additional data source is not compressed.
You can use Gzip or None. The default value is None.
The allowed compression types depend on the input format and problem type. We allow the compression type Gzip for S3Prefix inputs on tabular data only. For all other inputs, the compression type should be None. If no compression type is provided, we default to None.
If training data is compressed, the compression type. The default value is None. CompressionType is used only in Pipe input mode. In File mode, leave this field unset or set it to None.
If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is None.
The allowed compression types, if data compression is used.
', ], ], 'ComputeQuotaArn' => [ 'base' => NULL, 'refs' => [ 'ComputeQuotaSummary$ComputeQuotaArn' => 'ARN of the compute allocation definition.
', 'CreateComputeQuotaResponse$ComputeQuotaArn' => 'ARN of the compute allocation definition.
', 'DescribeComputeQuotaResponse$ComputeQuotaArn' => 'ARN of the compute allocation definition.
', 'UpdateComputeQuotaResponse$ComputeQuotaArn' => 'ARN of the compute allocation definition.
', ], ], 'ComputeQuotaConfig' => [ 'base' => 'Configuration of the compute allocation definition for an entity. This includes the resource sharing option and the setting to preempt low priority tasks.
', 'refs' => [ 'ComputeQuotaSummary$ComputeQuotaConfig' => 'Configuration of the compute allocation definition. This includes the resource sharing option, and the setting to preempt low priority tasks.
', 'CreateComputeQuotaRequest$ComputeQuotaConfig' => 'Configuration of the compute allocation definition. This includes the resource sharing option, and the setting to preempt low priority tasks.
', 'DescribeComputeQuotaResponse$ComputeQuotaConfig' => 'Configuration of the compute allocation definition. This includes the resource sharing option, and the setting to preempt low priority tasks.
', 'UpdateComputeQuotaRequest$ComputeQuotaConfig' => 'Configuration of the compute allocation definition. This includes the resource sharing option, and the setting to preempt low priority tasks.
', ], ], 'ComputeQuotaId' => [ 'base' => NULL, 'refs' => [ 'ComputeQuotaSummary$ComputeQuotaId' => 'ID of the compute allocation definition.
', 'CreateComputeQuotaResponse$ComputeQuotaId' => 'ID of the compute allocation definition.
', 'DeleteComputeQuotaRequest$ComputeQuotaId' => 'ID of the compute allocation definition.
', 'DescribeComputeQuotaRequest$ComputeQuotaId' => 'ID of the compute allocation definition.
', 'DescribeComputeQuotaResponse$ComputeQuotaId' => 'ID of the compute allocation definition.
', 'UpdateComputeQuotaRequest$ComputeQuotaId' => 'ID of the compute allocation definition.
', ], ], 'ComputeQuotaResourceConfig' => [ 'base' => 'Configuration of the resources used for the compute allocation definition.
', 'refs' => [ 'ComputeQuotaResourceConfigList$member' => NULL, ], ], 'ComputeQuotaResourceConfigList' => [ 'base' => NULL, 'refs' => [ 'ComputeQuotaConfig$ComputeQuotaResources' => 'Allocate compute resources by instance types.
', ], ], 'ComputeQuotaSummary' => [ 'base' => 'Summary of the compute allocation definition.
', 'refs' => [ 'ComputeQuotaSummaryList$member' => NULL, ], ], 'ComputeQuotaSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListComputeQuotasResponse$ComputeQuotaSummaries' => 'Summaries of the compute allocation definitions.
', ], ], 'ComputeQuotaTarget' => [ 'base' => 'The target entity to allocate compute resources to.
', 'refs' => [ 'ComputeQuotaSummary$ComputeQuotaTarget' => 'The target entity to allocate compute resources to.
', 'CreateComputeQuotaRequest$ComputeQuotaTarget' => 'The target entity to allocate compute resources to.
', 'DescribeComputeQuotaResponse$ComputeQuotaTarget' => 'The target entity to allocate compute resources to.
', 'UpdateComputeQuotaRequest$ComputeQuotaTarget' => 'The target entity to allocate compute resources to.
', ], ], 'ComputeQuotaTargetTeamName' => [ 'base' => NULL, 'refs' => [ 'ComputeQuotaTarget$TeamName' => 'Name of the team to allocate compute resources to.
', ], ], 'ConditionOutcome' => [ 'base' => NULL, 'refs' => [ 'ConditionStepMetadata$Outcome' => 'The outcome of the Condition step evaluation.
', ], ], 'ConditionStepMetadata' => [ 'base' => 'Metadata for a Condition step.
', 'refs' => [ 'PipelineExecutionStepMetadata$Condition' => 'The outcome of the condition evaluation that was run by this step execution.
', ], ], 'ConfigKey' => [ 'base' => NULL, 'refs' => [ 'CollectionParameters$key' => NULL, 'HookParameters$key' => NULL, 'ProfilingParameters$key' => NULL, 'RuleParameters$key' => NULL, ], ], 'ConfigValue' => [ 'base' => NULL, 'refs' => [ 'CollectionParameters$value' => NULL, 'HookParameters$value' => NULL, 'ProfilingParameters$value' => NULL, 'RuleParameters$value' => NULL, ], ], 'ConflictException' => [ 'base' => 'There was a conflict when you attempted to modify a SageMaker entity such as an Experiment or Artifact.
The arguments for a container used to run a processing job.
', ], ], 'ContainerConfig' => [ 'base' => 'The configuration used to run the application image container.
', 'refs' => [ 'CodeEditorAppImageConfig$ContainerConfig' => NULL, 'JupyterLabAppImageConfig$ContainerConfig' => NULL, ], ], 'ContainerDefinition' => [ 'base' => 'Describes the container, as part of model definition.
', 'refs' => [ 'ContainerDefinitionList$member' => NULL, 'CreateModelInput$PrimaryContainer' => 'The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.
', 'DescribeModelOutput$PrimaryContainer' => 'The location of the primary inference code, associated artifacts, and custom environment map that the inference code uses when it is deployed in production.
', 'Model$PrimaryContainer' => NULL, ], ], 'ContainerDefinitionList' => [ 'base' => NULL, 'refs' => [ 'CreateModelInput$Containers' => 'Specifies the containers in the inference pipeline.
', 'DescribeModelOutput$Containers' => 'The containers in the inference pipeline.
', 'Model$Containers' => 'The containers in the inference pipeline.
', ], ], 'ContainerEntrypoint' => [ 'base' => NULL, 'refs' => [ 'AppSpecification$ContainerEntrypoint' => 'The entrypoint for a container used to run a processing job.
', 'DataQualityAppSpecification$ContainerEntrypoint' => 'The entrypoint for a container used to run a monitoring job.
', 'ModelQualityAppSpecification$ContainerEntrypoint' => 'Specifies the entrypoint for a container that the monitoring job runs.
', 'MonitoringAppSpecification$ContainerEntrypoint' => 'Specifies the entrypoint for a container used to run the monitoring job.
', ], ], 'ContainerEntrypointString' => [ 'base' => NULL, 'refs' => [ 'ContainerEntrypoint$member' => NULL, ], ], 'ContainerHostname' => [ 'base' => NULL, 'refs' => [ 'ContainerDefinition$ContainerHostname' => 'This parameter is ignored for models that contain only a PrimaryContainer.
When a ContainerDefinition is part of an inference pipeline, the value of the parameter uniquely identifies the container for the purposes of logging and metrics. For information, see Use Logs and Metrics to Monitor an Inference Pipeline. If you don\'t specify a value for this parameter for a ContainerDefinition that is part of an inference pipeline, a unique name is automatically assigned based on the position of the ContainerDefinition in the pipeline. If you specify a value for the ContainerHostName for any ContainerDefinition that is part of an inference pipeline, you must specify a value for the ContainerHostName parameter of every ContainerDefinition in that pipeline.
The DNS host name for the Docker container.
', ], ], 'ContainerImage' => [ 'base' => NULL, 'refs' => [ 'AutoMLContainerDefinition$Image' => 'The Amazon Elastic Container Registry (Amazon ECR) path of the container. For more information, see ContainerDefinition.
', 'ContainerDefinition$Image' => 'The path where inference code is stored. This can be either in Amazon EC2 Container Registry or in a Docker registry that is accessible from the same VPC that you configure for your endpoint. If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
The model artifacts in an Amazon S3 bucket and the Docker image for inference container in Amazon EC2 Container Registry must be in the same region as the model or endpoint you are creating.
The image path you specified when you created the model.
', 'DeployedImage$ResolvedImage' => 'The specific digest path of the image hosted in this ProductionVariant.
The Amazon Elastic Container Registry (Amazon ECR) path where the Docker image for the model is stored.
', 'ModelPackageContainerDefinition$Image' => 'The Amazon EC2 Container Registry path where inference code is stored.
If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
The Amazon ECR registry path of the Docker image that contains the training algorithm.
', ], ], 'ContainerMode' => [ 'base' => NULL, 'refs' => [ 'ContainerDefinition$Mode' => 'Whether the container hosts a single model or multiple models.
', ], ], 'ContentClassifier' => [ 'base' => NULL, 'refs' => [ 'ContentClassifiers$member' => NULL, ], ], 'ContentClassifiers' => [ 'base' => NULL, 'refs' => [ 'LabelingJobDataAttributes$ContentClassifiers' => 'Declares that your content is free of personally identifiable information or adult content. SageMaker may restrict the Amazon Mechanical Turk workers that can view your task based on this information.
', ], ], 'ContentColumn' => [ 'base' => NULL, 'refs' => [ 'TextClassificationJobConfig$ContentColumn' => 'The name of the column used to provide the sentences to be classified. It should not be the same as the target column.
', ], ], 'ContentDigest' => [ 'base' => NULL, 'refs' => [ 'FileSource$ContentDigest' => 'The digest of the file source.
', 'MetricsSource$ContentDigest' => 'The hash key used for the metrics source.
', ], ], 'ContentType' => [ 'base' => NULL, 'refs' => [ 'AutoMLChannel$ContentType' => 'The content type of the data from the input source. You can use text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
The content type of the data from the input source. The following are the allowed content types for different problems:
For tabular problem types: text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
For image classification: image/png, image/jpeg, or image/*. The default value is image/*.
For text classification: text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
For time-series forecasting: text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
For text generation (LLMs fine-tuning): text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.
The MIME type of the data.
', 'ContentTypes$member' => NULL, 'FileSource$ContentType' => 'The type of content stored in the file source.
', 'MetricsSource$ContentType' => 'The metric source content type.
', 'TransformInput$ContentType' => 'The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.
', ], ], 'ContentTypes' => [ 'base' => NULL, 'refs' => [ 'AdditionalInferenceSpecificationDefinition$SupportedContentTypes' => 'The supported MIME types for the input data.
', 'ChannelSpecification$SupportedContentTypes' => 'The supported MIME types for the data.
', 'InferenceSpecification$SupportedContentTypes' => 'The supported MIME types for the input data.
', ], ], 'ContextArn' => [ 'base' => NULL, 'refs' => [ 'ContextSummary$ContextArn' => 'The Amazon Resource Name (ARN) of the context.
', 'CreateContextResponse$ContextArn' => 'The Amazon Resource Name (ARN) of the context.
', 'DeleteContextResponse$ContextArn' => 'The Amazon Resource Name (ARN) of the context.
', 'DescribeContextResponse$ContextArn' => 'The Amazon Resource Name (ARN) of the context.
', 'UpdateContextResponse$ContextArn' => 'The Amazon Resource Name (ARN) of the context.
', ], ], 'ContextName' => [ 'base' => NULL, 'refs' => [ 'ContextSummary$ContextName' => 'The name of the context.
', 'CreateContextRequest$ContextName' => 'The name of the context. Must be unique to your account in an Amazon Web Services Region.
', 'DeleteContextRequest$ContextName' => 'The name of the context to delete.
', 'DescribeContextResponse$ContextName' => 'The name of the context.
', 'UpdateContextRequest$ContextName' => 'The name of the context to update.
', ], ], 'ContextNameOrArn' => [ 'base' => NULL, 'refs' => [ 'DescribeContextRequest$ContextName' => 'The name of the context to describe.
', ], ], 'ContextSource' => [ 'base' => 'A structure describing the source of a context.
', 'refs' => [ 'ContextSummary$Source' => 'The source of the context.
', 'CreateContextRequest$Source' => 'The source type, ID, and URI.
', 'DescribeContextResponse$Source' => 'The source of the context.
', ], ], 'ContextSummaries' => [ 'base' => NULL, 'refs' => [ 'ListContextsResponse$ContextSummaries' => 'A list of contexts and their properties.
', ], ], 'ContextSummary' => [ 'base' => 'Lists a summary of the properties of a context. A context provides a logical grouping of other entities.
', 'refs' => [ 'ContextSummaries$member' => NULL, ], ], 'ContinuousParameterRange' => [ 'base' => 'A list of continuous hyperparameters to tune.
', 'refs' => [ 'ContinuousParameterRanges$member' => NULL, ], ], 'ContinuousParameterRangeSpecification' => [ 'base' => 'Defines the possible values for a continuous hyperparameter.
', 'refs' => [ 'ParameterRange$ContinuousParameterRangeSpecification' => 'A ContinuousParameterRangeSpecification object that defines the possible values for a continuous hyperparameter.
The array of ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a hyperparameter tuning job searches.
', ], ], 'ConvergenceDetected' => [ 'base' => 'A flag to indicating that automatic model tuning (AMT) has detected model convergence, defined as a lack of significant improvement (1% or less) against an objective metric.
', 'refs' => [ 'TuningJobCompletionCriteria$ConvergenceDetected' => 'A flag to top your hyperparameter tuning job if automatic model tuning (AMT) has detected that your model has converged as evaluated against your objective function.
', ], ], 'CountryCode' => [ 'base' => NULL, 'refs' => [ 'HolidayConfigAttributes$CountryCode' => 'The country code for the holiday calendar.
For the list of public holiday calendars supported by AutoML job V2, see Country Codes. Use the country code corresponding to the country of your choice.
', ], ], 'CreateActionRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateActionResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateAlgorithmInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateAlgorithmOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateAppImageConfigRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateAppImageConfigResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateAppRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateAppResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateArtifactRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateArtifactResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateAutoMLJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateAutoMLJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateAutoMLJobV2Request' => [ 'base' => NULL, 'refs' => [], ], 'CreateAutoMLJobV2Response' => [ 'base' => NULL, 'refs' => [], ], 'CreateClusterRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateClusterResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateClusterSchedulerConfigRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateClusterSchedulerConfigResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateCodeRepositoryInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateCodeRepositoryOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateCompilationJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateCompilationJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateComputeQuotaRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateComputeQuotaResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateContextRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateContextResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateDataQualityJobDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateDataQualityJobDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateDeviceFleetRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateDomainRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateDomainResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateEdgeDeploymentPlanRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateEdgeDeploymentPlanResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateEdgeDeploymentStageRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateEdgePackagingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateEndpointConfigInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateEndpointConfigOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateEndpointInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateEndpointOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateExperimentRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateExperimentResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateFeatureGroupRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateFeatureGroupResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateFlowDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateFlowDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateHubContentReferenceRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateHubContentReferenceResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateHubRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateHubResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateHumanTaskUiRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateHumanTaskUiResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateHyperParameterTuningJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateHyperParameterTuningJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateImageRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateImageResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateImageVersionRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateImageVersionResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateInferenceComponentInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateInferenceComponentOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateInferenceExperimentRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateInferenceExperimentResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateInferenceRecommendationsJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateInferenceRecommendationsJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateLabelingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateLabelingJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateMlflowTrackingServerRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateMlflowTrackingServerResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelBiasJobDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelBiasJobDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelCardExportJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelCardExportJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelCardRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelCardResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelExplainabilityJobDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelExplainabilityJobDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelPackageGroupInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelPackageGroupOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelPackageInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelPackageOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelQualityJobDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateModelQualityJobDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateMonitoringScheduleRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateMonitoringScheduleResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateNotebookInstanceInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateNotebookInstanceLifecycleConfigInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateNotebookInstanceLifecycleConfigOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateNotebookInstanceOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateOptimizationJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateOptimizationJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreatePartnerAppPresignedUrlRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreatePartnerAppPresignedUrlResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreatePartnerAppRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreatePartnerAppResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreatePipelineRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreatePipelineResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreatePresignedDomainUrlRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreatePresignedDomainUrlResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreatePresignedMlflowTrackingServerUrlRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreatePresignedMlflowTrackingServerUrlResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreatePresignedNotebookInstanceUrlInput' => [ 'base' => NULL, 'refs' => [], ], 'CreatePresignedNotebookInstanceUrlOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateProcessingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateProcessingJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateProjectInput' => [ 'base' => NULL, 'refs' => [], ], 'CreateProjectOutput' => [ 'base' => NULL, 'refs' => [], ], 'CreateSpaceRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateSpaceResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateStudioLifecycleConfigRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateStudioLifecycleConfigResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateTrainingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateTrainingJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateTrainingPlanRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateTrainingPlanResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateTransformJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateTransformJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateTrialComponentRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateTrialComponentResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateTrialRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateTrialResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateUserProfileRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateUserProfileResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateWorkforceRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateWorkforceResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreateWorkteamRequest' => [ 'base' => NULL, 'refs' => [], ], 'CreateWorkteamResponse' => [ 'base' => NULL, 'refs' => [], ], 'CreationTime' => [ 'base' => NULL, 'refs' => [ 'AlgorithmSummary$CreationTime' => 'A timestamp that shows when the algorithm was created.
', 'AppDetails$CreationTime' => 'The creation time.
', 'BatchDescribeModelPackageSummary$CreationTime' => 'The creation time of the mortgage package summary.
', 'CodeRepositorySummary$CreationTime' => 'The date and time that the Git repository was created.
', 'CompilationJobSummary$CreationTime' => 'The time when the model compilation job was created.
', 'DescribeAlgorithmOutput$CreationTime' => 'A timestamp specifying when the algorithm was created.
', 'DescribeCodeRepositoryOutput$CreationTime' => 'The date and time that the repository was created.
', 'DescribeCompilationJobResponse$CreationTime' => 'The time that the model compilation job was created.
', 'DescribeDomainResponse$CreationTime' => 'The creation time.
', 'DescribeFeatureGroupResponse$CreationTime' => 'A timestamp indicating when SageMaker created the FeatureGroup.
A timestamp indicating when the feature was created.
', 'DescribeInferenceRecommendationsJobResponse$CreationTime' => 'A timestamp that shows when the job was created.
', 'DescribeModelPackageGroupOutput$CreationTime' => 'The time that the model group was created.
', 'DescribeModelPackageOutput$CreationTime' => 'A timestamp specifying when the model package was created.
', 'DescribeNotebookInstanceLifecycleConfigOutput$CreationTime' => 'A timestamp that tells when the lifecycle configuration was created.
', 'DescribeNotebookInstanceOutput$CreationTime' => 'A timestamp. Use this parameter to return the time when the notebook instance was created
', 'DescribeOptimizationJobResponse$CreationTime' => 'The time when you created the optimization job.
', 'DescribeSpaceResponse$CreationTime' => 'The creation time.
', 'DescribeUserProfileResponse$CreationTime' => 'The creation time.
', 'DomainDetails$CreationTime' => 'The creation time.
', 'FeatureGroup$CreationTime' => 'The time a FeatureGroup was created.
A timestamp indicating when the feature was created.
', 'InferenceRecommendationsJob$CreationTime' => 'A timestamp that shows when the job was created.
', 'ListAlgorithmsInput$CreationTimeAfter' => 'A filter that returns only algorithms created after the specified time (timestamp).
', 'ListAlgorithmsInput$CreationTimeBefore' => 'A filter that returns only algorithms created before the specified time (timestamp).
', 'ListCodeRepositoriesInput$CreationTimeAfter' => 'A filter that returns only Git repositories that were created after the specified time.
', 'ListCodeRepositoriesInput$CreationTimeBefore' => 'A filter that returns only Git repositories that were created before the specified time.
', 'ListCompilationJobsRequest$CreationTimeAfter' => 'A filter that returns the model compilation jobs that were created after a specified time.
', 'ListCompilationJobsRequest$CreationTimeBefore' => 'A filter that returns the model compilation jobs that were created before a specified time.
', 'ListFeatureGroupsRequest$CreationTimeAfter' => 'Use this parameter to search for FeatureGroupss created after a specific date and time.
Use this parameter to search for FeatureGroupss created before a specific date and time.
A filter that returns only jobs created after the specified time (timestamp).
', 'ListInferenceRecommendationsJobsRequest$CreationTimeBefore' => 'A filter that returns only jobs created before the specified time (timestamp).
', 'ListModelPackageGroupsInput$CreationTimeAfter' => 'A filter that returns only model groups created after the specified time.
', 'ListModelPackageGroupsInput$CreationTimeBefore' => 'A filter that returns only model groups created before the specified time.
', 'ListModelPackagesInput$CreationTimeAfter' => 'A filter that returns only model packages created after the specified time (timestamp).
', 'ListModelPackagesInput$CreationTimeBefore' => 'A filter that returns only model packages created before the specified time (timestamp).
', 'ListNotebookInstanceLifecycleConfigsInput$CreationTimeBefore' => 'A filter that returns only lifecycle configurations that were created before the specified time (timestamp).
', 'ListNotebookInstanceLifecycleConfigsInput$CreationTimeAfter' => 'A filter that returns only lifecycle configurations that were created after the specified time (timestamp).
', 'ListNotebookInstancesInput$CreationTimeBefore' => 'A filter that returns only notebook instances that were created before the specified time (timestamp).
', 'ListNotebookInstancesInput$CreationTimeAfter' => 'A filter that returns only notebook instances that were created after the specified time (timestamp).
', 'ListOptimizationJobsRequest$CreationTimeAfter' => 'Filters the results to only those optimization jobs that were created after the specified time.
', 'ListOptimizationJobsRequest$CreationTimeBefore' => 'Filters the results to only those optimization jobs that were created before the specified time.
', 'ModelPackage$CreationTime' => 'The time that the model package was created.
', 'ModelPackageGroup$CreationTime' => 'The time that the model group was created.
', 'ModelPackageGroupSummary$CreationTime' => 'The time that the model group was created.
', 'ModelPackageSummary$CreationTime' => 'A timestamp that shows when the model package was created.
', 'NotebookInstanceLifecycleConfigSummary$CreationTime' => 'A timestamp that tells when the lifecycle configuration was created.
', 'NotebookInstanceSummary$CreationTime' => 'A timestamp that shows when the notebook instance was created.
', 'OptimizationJobSummary$CreationTime' => 'The time when you created the optimization job.
', 'SpaceDetails$CreationTime' => 'The creation time.
', 'UserProfileDetails$CreationTime' => 'The creation time.
', ], ], 'CrossAccountFilterOption' => [ 'base' => NULL, 'refs' => [ 'ListModelPackageGroupsInput$CrossAccountFilterOption' => 'A filter that returns either model groups shared with you or model groups in your own account. When the value is CrossAccount, the results show the resources made discoverable to you from other accounts. When the value is SameAccount or null, the results show resources from your account. The default is SameAccount.
A cross account filter option. When the value is "CrossAccount" the search results will only include resources made discoverable to you from other accounts. When the value is "SameAccount" or null the search results will only include resources from your account. Default is null. For more information on searching for resources made discoverable to your account, see Search discoverable resources in the SageMaker Developer Guide. The maximum number of ResourceCatalogs viewable is 1000.
The list of all content type headers that Amazon SageMaker AI will treat as CSV and capture accordingly.
', ], ], 'CurrencyCode' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingPlanResponse$CurrencyCode' => 'The currency code for the upfront fee (e.g., USD).
', 'TrainingPlanOffering$CurrencyCode' => 'The currency code for the upfront fee (e.g., USD).
', 'TrainingPlanSummary$CurrencyCode' => 'The currency code for the upfront fee (e.g., USD).
', ], ], 'CustomFileSystem' => [ 'base' => 'A file system, created by you, that you assign to a user profile or space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI Studio.
', 'refs' => [ 'CustomFileSystems$member' => NULL, ], ], 'CustomFileSystemConfig' => [ 'base' => 'The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI Studio.
', 'refs' => [ 'CustomFileSystemConfigs$member' => NULL, ], ], 'CustomFileSystemConfigs' => [ 'base' => NULL, 'refs' => [ 'DefaultSpaceSettings$CustomFileSystemConfigs' => 'The settings for assigning a custom file system to a domain. Permitted users can access this file system in Amazon SageMaker AI Studio.
', 'UserSettings$CustomFileSystemConfigs' => 'The settings for assigning a custom file system to a user profile. Permitted users can access this file system in Amazon SageMaker AI Studio.
SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn\'t apply these settings to shared spaces.
', ], ], 'CustomFileSystems' => [ 'base' => NULL, 'refs' => [ 'SpaceSettings$CustomFileSystems' => 'A file system, created by you, that you assign to a space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI Studio.
', ], ], 'CustomImage' => [ 'base' => 'A custom SageMaker AI image. For more information, see Bring your own SageMaker AI image.
', 'refs' => [ 'CustomImages$member' => NULL, ], ], 'CustomImageContainerArguments' => [ 'base' => NULL, 'refs' => [ 'ContainerConfig$ContainerArguments' => 'The arguments for the container when you\'re running the application.
', ], ], 'CustomImageContainerEntrypoint' => [ 'base' => NULL, 'refs' => [ 'ContainerConfig$ContainerEntrypoint' => 'The entrypoint used to run the application in the container.
', ], ], 'CustomImageContainerEnvironmentVariables' => [ 'base' => NULL, 'refs' => [ 'ContainerConfig$ContainerEnvironmentVariables' => 'The environment variables to set in the container
', ], ], 'CustomImages' => [ 'base' => NULL, 'refs' => [ 'CodeEditorAppSettings$CustomImages' => 'A list of custom SageMaker images that are configured to run as a Code Editor app.
', 'JupyterLabAppSettings$CustomImages' => 'A list of custom SageMaker images that are configured to run as a JupyterLab app.
', 'KernelGatewayAppSettings$CustomImages' => 'A list of custom SageMaker AI images that are configured to run as a KernelGateway app.
', 'RSessionAppSettings$CustomImages' => 'A list of custom SageMaker AI images that are configured to run as a RSession app.
', ], ], 'CustomPosixUserConfig' => [ 'base' => 'Details about the POSIX identity that is used for file system operations.
', 'refs' => [ 'DefaultSpaceSettings$CustomPosixUserConfig' => NULL, 'UserSettings$CustomPosixUserConfig' => 'Details about the POSIX identity that is used for file system operations.
SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn\'t apply these settings to shared spaces.
', ], ], 'CustomerMetadataKey' => [ 'base' => NULL, 'refs' => [ 'CustomerMetadataKeyList$member' => NULL, 'CustomerMetadataMap$key' => NULL, ], ], 'CustomerMetadataKeyList' => [ 'base' => NULL, 'refs' => [ 'UpdateModelPackageInput$CustomerMetadataPropertiesToRemove' => 'The metadata properties associated with the model package versions to remove.
', ], ], 'CustomerMetadataMap' => [ 'base' => NULL, 'refs' => [ 'CreateModelPackageInput$CustomerMetadataProperties' => 'The metadata properties associated with the model package versions.
', 'DescribeModelPackageOutput$CustomerMetadataProperties' => 'The metadata properties associated with the model package versions.
', 'ModelPackage$CustomerMetadataProperties' => 'The metadata properties for the model package.
', 'UpdateModelPackageInput$CustomerMetadataProperties' => 'The metadata properties associated with the model package versions.
', ], ], 'CustomerMetadataValue' => [ 'base' => NULL, 'refs' => [ 'CustomerMetadataMap$value' => NULL, ], ], 'CustomizedMetricSpecification' => [ 'base' => 'A customized metric.
', 'refs' => [ 'MetricSpecification$Customized' => 'Information about a customized metric.
', ], ], 'DataCaptureConfig' => [ 'base' => 'Configuration to control how SageMaker AI captures inference data.
', 'refs' => [ 'CreateEndpointConfigInput$DataCaptureConfig' => NULL, 'DescribeEndpointConfigOutput$DataCaptureConfig' => NULL, ], ], 'DataCaptureConfigSummary' => [ 'base' => 'The currently active data capture configuration used by your Endpoint.
', 'refs' => [ 'DescribeEndpointOutput$DataCaptureConfig' => NULL, 'Endpoint$DataCaptureConfig' => NULL, ], ], 'DataCatalogConfig' => [ 'base' => 'The meta data of the Glue table which serves as data catalog for the OfflineStore.
The meta data of the Glue table that is autogenerated when an OfflineStore is created.
Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
The URL of the notebook location.
', ], ], 'DataInputConfig' => [ 'base' => NULL, 'refs' => [ 'DerivedInformation$DerivedDataInputConfig' => 'The data input configuration that SageMaker Neo automatically derived for the model. When SageMaker Neo derives this information, you don\'t need to specify the data input configuration when you create a compilation job.
', 'InputConfig$DataInputConfig' => 'Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. The data inputs are Framework specific.
TensorFlow: You must specify the name and shape (NHWC format) of the expected data inputs using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.
Examples for one input:
If using the console, {"input":[1,1024,1024,3]}
If using the CLI, {\\"input\\":[1,1024,1024,3]}
Examples for two inputs:
If using the console, {"data1": [1,28,28,1], "data2":[1,28,28,1]}
If using the CLI, {\\"data1\\": [1,28,28,1], \\"data2\\":[1,28,28,1]}
KERAS: You must specify the name and shape (NCHW format) of expected data inputs using a dictionary format for your trained model. Note that while Keras model artifacts should be uploaded in NHWC (channel-last) format, DataInputConfig should be specified in NCHW (channel-first) format. The dictionary formats required for the console and CLI are different.
Examples for one input:
If using the console, {"input_1":[1,3,224,224]}
If using the CLI, {\\"input_1\\":[1,3,224,224]}
Examples for two inputs:
If using the console, {"input_1": [1,3,224,224], "input_2":[1,3,224,224]}
If using the CLI, {\\"input_1\\": [1,3,224,224], \\"input_2\\":[1,3,224,224]}
MXNET/ONNX/DARKNET: You must specify the name and shape (NCHW format) of the expected data inputs in order using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.
Examples for one input:
If using the console, {"data":[1,3,1024,1024]}
If using the CLI, {\\"data\\":[1,3,1024,1024]}
Examples for two inputs:
If using the console, {"var1": [1,1,28,28], "var2":[1,1,28,28]}
If using the CLI, {\\"var1\\": [1,1,28,28], \\"var2\\":[1,1,28,28]}
PyTorch: You can either specify the name and shape (NCHW format) of expected data inputs in order using a dictionary format for your trained model or you can specify the shape only using a list format. The dictionary formats required for the console and CLI are different. The list formats for the console and CLI are the same.
Examples for one input in dictionary format:
If using the console, {"input0":[1,3,224,224]}
If using the CLI, {\\"input0\\":[1,3,224,224]}
Example for one input in list format: [[1,3,224,224]]
Examples for two inputs in dictionary format:
If using the console, {"input0":[1,3,224,224], "input1":[1,3,224,224]}
If using the CLI, {\\"input0\\":[1,3,224,224], \\"input1\\":[1,3,224,224]}
Example for two inputs in list format: [[1,3,224,224], [1,3,224,224]]
XGBOOST: input data name and shape are not needed.
DataInputConfig supports the following parameters for CoreML TargetDevice (ML Model format):
shape: Input shape, for example {"input_1": {"shape": [1,224,224,3]}}. In addition to static input shapes, CoreML converter supports Flexible input shapes:
Range Dimension. You can use the Range Dimension feature if you know the input shape will be within some specific interval in that dimension, for example: {"input_1": {"shape": ["1..10", 224, 224, 3]}}
Enumerated shapes. Sometimes, the models are trained to work only on a select set of inputs. You can enumerate all supported input shapes, for example: {"input_1": {"shape": [[1, 224, 224, 3], [1, 160, 160, 3]]}}
default_shape: Default input shape. You can set a default shape during conversion for both Range Dimension and Enumerated Shapes. For example {"input_1": {"shape": ["1..10", 224, 224, 3], "default_shape": [1, 224, 224, 3]}}
type: Input type. Allowed values: Image and Tensor. By default, the converter generates an ML Model with inputs of type Tensor (MultiArray). User can set input type to be Image. Image input type requires additional input parameters such as bias and scale.
bias: If the input type is an Image, you need to provide the bias vector.
scale: If the input type is an Image, you need to provide a scale factor.
CoreML ClassifierConfig parameters can be specified using OutputConfig CompilerOptions. CoreML converter supports Tensorflow and PyTorch models. CoreML conversion examples:
Tensor type input:
"DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3]}}
Tensor type input without input name (PyTorch):
"DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224]}]
Image type input:
"DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}}
"CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}
Image type input without input name (PyTorch):
"DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}]
"CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}
Depending on the model format, DataInputConfig requires the following parameters for ml_eia2 OutputConfig:TargetDevice.
For TensorFlow models saved in the SavedModel format, specify the input names from signature_def_key and the input model shapes for DataInputConfig. Specify the signature_def_key in OutputConfig:CompilerOptions if the model does not use TensorFlow\'s default signature def key. For example:
"DataInputConfig": {"inputs": [1, 224, 224, 3]}
"CompilerOptions": {"signature_def_key": "serving_custom"}
For TensorFlow models saved as a frozen graph, specify the input tensor names and shapes in DataInputConfig and the output tensor names for output_names in OutputConfig:CompilerOptions . For example:
"DataInputConfig": {"input_tensor:0": [1, 224, 224, 3]}
"CompilerOptions": {"output_names": ["output_tensor:0"]}
The input configuration object for the model.
', ], ], 'DataProcessing' => [ 'base' => 'The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.
', 'refs' => [ 'CreateTransformJobRequest$DataProcessing' => 'The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.
', 'DescribeTransformJobResponse$DataProcessing' => NULL, 'TransformJob$DataProcessing' => NULL, ], ], 'DataQualityAppSpecification' => [ 'base' => 'Information about the container that a data quality monitoring job runs.
', 'refs' => [ 'CreateDataQualityJobDefinitionRequest$DataQualityAppSpecification' => 'Specifies the container that runs the monitoring job.
', 'DescribeDataQualityJobDefinitionResponse$DataQualityAppSpecification' => 'Information about the container that runs the data quality monitoring job.
', ], ], 'DataQualityBaselineConfig' => [ 'base' => 'Configuration for monitoring constraints and monitoring statistics. These baseline resources are compared against the results of the current job from the series of jobs scheduled to collect data periodically.
', 'refs' => [ 'CreateDataQualityJobDefinitionRequest$DataQualityBaselineConfig' => 'Configures the constraints and baselines for the monitoring job.
', 'DescribeDataQualityJobDefinitionResponse$DataQualityBaselineConfig' => 'The constraints and baselines for the data quality monitoring job definition.
', ], ], 'DataQualityJobInput' => [ 'base' => 'The input for the data quality monitoring job. Currently endpoints are supported for input.
', 'refs' => [ 'CreateDataQualityJobDefinitionRequest$DataQualityJobInput' => 'A list of inputs for the monitoring job. Currently endpoints are supported as monitoring inputs.
', 'DescribeDataQualityJobDefinitionResponse$DataQualityJobInput' => 'The list of inputs for the data quality monitoring job. Currently endpoints are supported.
', ], ], 'DataSource' => [ 'base' => 'Describes the location of the channel data.
', 'refs' => [ 'Channel$DataSource' => 'The location of the channel data.
', ], ], 'DataSourceName' => [ 'base' => NULL, 'refs' => [ 'IdentityProviderOAuthSetting$DataSourceName' => 'The name of the data source that you\'re connecting to. Canvas currently supports OAuth for Snowflake and Salesforce Data Cloud.
', ], ], 'Database' => [ 'base' => NULL, 'refs' => [ 'DataCatalogConfig$Database' => 'The name of the Glue table database.
', ], ], 'DatasetDefinition' => [ 'base' => 'Configuration for Dataset Definition inputs. The Dataset Definition input must specify exactly one of either AthenaDatasetDefinition or RedshiftDatasetDefinition types.
Configuration for a Dataset Definition input.
', ], ], 'DebugHookConfig' => [ 'base' => 'Configuration information for the Amazon SageMaker Debugger hook parameters, metric and tensor collections, and storage paths. To learn more about how to configure the DebugHookConfig parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.
Configuration information for SageMaker Debugger rules for debugging. To learn more about how to configure the DebugRuleConfiguration parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.
Configuration information for Amazon SageMaker Debugger rules for debugging output tensors.
', 'DescribeTrainingJobResponse$DebugRuleConfigurations' => 'Configuration information for Amazon SageMaker Debugger rules for debugging output tensors.
', 'TrainingJob$DebugRuleConfigurations' => 'Information about the debug rule configuration.
', ], ], 'DebugRuleEvaluationStatus' => [ 'base' => 'Information about the status of the rule evaluation.
', 'refs' => [ 'DebugRuleEvaluationStatuses$member' => NULL, ], ], 'DebugRuleEvaluationStatuses' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingJobResponse$DebugRuleEvaluationStatuses' => 'Evaluation status of Amazon SageMaker Debugger rules for debugging on a training job.
', 'TrainingJob$DebugRuleEvaluationStatuses' => 'Information about the evaluation status of the rules for the training job.
', ], ], 'DeepHealthCheckType' => [ 'base' => NULL, 'refs' => [ 'OnStartDeepHealthChecks$member' => NULL, ], ], 'DefaultEbsStorageSettings' => [ 'base' => 'A collection of default EBS storage settings that apply to spaces created within a domain or user profile.
', 'refs' => [ 'DefaultSpaceStorageSettings$DefaultEbsStorageSettings' => 'The default EBS storage settings for a space.
', ], ], 'DefaultGid' => [ 'base' => NULL, 'refs' => [ 'FileSystemConfig$DefaultGid' => 'The default POSIX group ID (GID). If not specified, defaults to 100.
The default settings for shared spaces that users create in the domain.
SageMaker applies these settings only to shared spaces. It doesn\'t apply them to private spaces.
', 'refs' => [ 'CreateDomainRequest$DefaultSpaceSettings' => 'The default settings for shared spaces that users create in the domain.
', 'DescribeDomainResponse$DefaultSpaceSettings' => 'The default settings for shared spaces that users create in the domain.
', 'UpdateDomainRequest$DefaultSpaceSettings' => 'The default settings for shared spaces that users create in the domain.
', ], ], 'DefaultSpaceStorageSettings' => [ 'base' => 'The default storage settings for a space.
', 'refs' => [ 'DefaultSpaceSettings$SpaceStorageSettings' => NULL, 'UserSettings$SpaceStorageSettings' => 'The storage settings for a space.
SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn\'t apply these settings to shared spaces.
', ], ], 'DefaultUid' => [ 'base' => NULL, 'refs' => [ 'FileSystemConfig$DefaultUid' => 'The default POSIX user ID (UID). If not specified, defaults to 1000.
The hub content dependency copy path.
', ], ], 'DependencyOriginPath' => [ 'base' => NULL, 'refs' => [ 'HubContentDependency$DependencyOriginPath' => 'The hub content dependency origin path.
', ], ], 'DeployedImage' => [ 'base' => 'Gets the Amazon EC2 Container Registry path of the docker image of the model that is hosted in this ProductionVariant.
If you used the registry/repository[:tag] form to specify the image path of the primary container when you created the model hosted in this ProductionVariant, the path resolves to a path of the form registry/repository[@digest]. A digest is a hash value that identifies a specific version of an image. For information about Amazon ECR paths, see Pulling an Image in the Amazon ECR User Guide.
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the inference images deployed on instances of this ProductionVariant.
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the inference images deployed on instances of this ProductionVariant.
The deployment configuration for an endpoint, which contains the desired deployment strategy and rollback configurations.
', 'refs' => [ 'CreateEndpointInput$DeploymentConfig' => NULL, 'DescribeEndpointOutput$LastDeploymentConfig' => 'The most recent deployment configuration for the endpoint.
', 'UpdateEndpointInput$DeploymentConfig' => 'The deployment configuration for an endpoint, which contains the desired deployment strategy and rollback configurations.
', ], ], 'DeploymentRecommendation' => [ 'base' => 'A set of recommended deployment configurations for the model. To get more advanced recommendations, see CreateInferenceRecommendationsJob to create an inference recommendation job.
', 'refs' => [ 'DescribeModelOutput$DeploymentRecommendation' => 'A set of recommended deployment configurations for the model.
', 'Model$DeploymentRecommendation' => 'A set of recommended deployment configurations for the model.
', ], ], 'DeploymentStage' => [ 'base' => 'Contains information about a stage in an edge deployment plan.
', 'refs' => [ 'DeploymentStages$member' => NULL, ], ], 'DeploymentStageMaxResults' => [ 'base' => NULL, 'refs' => [ 'DescribeEdgeDeploymentPlanRequest$MaxResults' => 'The maximum number of results to select (50 by default).
', ], ], 'DeploymentStageStatusSummaries' => [ 'base' => NULL, 'refs' => [ 'DescribeEdgeDeploymentPlanResponse$Stages' => 'List of stages in the edge deployment plan.
', ], ], 'DeploymentStageStatusSummary' => [ 'base' => 'Contains information summarizing the deployment stage results.
', 'refs' => [ 'DeploymentStageStatusSummaries$member' => NULL, ], ], 'DeploymentStages' => [ 'base' => NULL, 'refs' => [ 'CreateEdgeDeploymentPlanRequest$Stages' => 'List of stages of the edge deployment plan. The number of stages is limited to 10 per deployment.
', 'CreateEdgeDeploymentStageRequest$Stages' => 'List of stages to be added to the edge deployment plan.
', ], ], 'DeregisterDevicesRequest' => [ 'base' => NULL, 'refs' => [], ], 'DerivedInformation' => [ 'base' => 'Information that SageMaker Neo automatically derived about the model.
', 'refs' => [ 'DescribeCompilationJobResponse$DerivedInformation' => 'Information that SageMaker Neo automatically derived about the model.
', ], ], 'DescribeActionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeActionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAlgorithmInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAlgorithmOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAppImageConfigRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAppImageConfigResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAppRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAppResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeArtifactRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeArtifactResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAutoMLJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAutoMLJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAutoMLJobV2Request' => [ 'base' => NULL, 'refs' => [], ], 'DescribeAutoMLJobV2Response' => [ 'base' => NULL, 'refs' => [], ], 'DescribeClusterNodeRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeClusterNodeResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeClusterRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeClusterResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeClusterSchedulerConfigRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeClusterSchedulerConfigResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeCodeRepositoryInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeCodeRepositoryOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeCompilationJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeCompilationJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeComputeQuotaRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeComputeQuotaResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeContextRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeContextResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDataQualityJobDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDataQualityJobDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDeviceFleetRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDeviceFleetResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDeviceRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDeviceResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDomainRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeDomainResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeEdgeDeploymentPlanRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeEdgeDeploymentPlanResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeEdgePackagingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeEdgePackagingJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeEndpointConfigInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeEndpointConfigOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeEndpointInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeEndpointOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeExperimentRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeExperimentResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeFeatureGroupRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeFeatureGroupResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeFeatureMetadataRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeFeatureMetadataResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeFlowDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeFlowDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeHubContentRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeHubContentResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeHubRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeHubResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeHumanTaskUiRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeHumanTaskUiResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeHyperParameterTuningJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeHyperParameterTuningJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeImageRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeImageResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeImageVersionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeImageVersionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeInferenceComponentInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeInferenceComponentOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeInferenceExperimentRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeInferenceExperimentResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeInferenceRecommendationsJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeInferenceRecommendationsJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeLabelingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeLabelingJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeLineageGroupRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeLineageGroupResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeMlflowTrackingServerRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeMlflowTrackingServerResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelBiasJobDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelBiasJobDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelCardExportJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelCardExportJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelCardRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelCardResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelExplainabilityJobDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelExplainabilityJobDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelPackageGroupInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelPackageGroupOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelPackageInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelPackageOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelQualityJobDefinitionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeModelQualityJobDefinitionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeMonitoringScheduleRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeMonitoringScheduleResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeNotebookInstanceInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeNotebookInstanceLifecycleConfigInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeNotebookInstanceLifecycleConfigOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeNotebookInstanceOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeOptimizationJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeOptimizationJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribePartnerAppRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribePartnerAppResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribePipelineDefinitionForExecutionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribePipelineDefinitionForExecutionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribePipelineExecutionRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribePipelineExecutionResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribePipelineRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribePipelineResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeProcessingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeProcessingJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeProjectInput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeProjectOutput' => [ 'base' => NULL, 'refs' => [], ], 'DescribeSpaceRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeSpaceResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeStudioLifecycleConfigRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeStudioLifecycleConfigResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeSubscribedWorkteamRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeSubscribedWorkteamResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTrainingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTrainingJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTrainingPlanRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTrainingPlanResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTransformJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTransformJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTrialComponentRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTrialComponentResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTrialRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeTrialResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeUserProfileRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeUserProfileResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeWorkforceRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeWorkforceResponse' => [ 'base' => NULL, 'refs' => [], ], 'DescribeWorkteamRequest' => [ 'base' => NULL, 'refs' => [], ], 'DescribeWorkteamResponse' => [ 'base' => NULL, 'refs' => [], ], 'Description' => [ 'base' => NULL, 'refs' => [ 'CreateFeatureGroupRequest$Description' => 'A free-form description of a FeatureGroup.
A free form description of the feature group.
', 'FeatureGroup$Description' => 'A free form description of a FeatureGroup.
Specifies weight and capacity values for a production variant.
', 'refs' => [ 'DesiredWeightAndCapacityList$member' => NULL, ], ], 'DesiredWeightAndCapacityList' => [ 'base' => NULL, 'refs' => [ 'UpdateEndpointWeightsAndCapacitiesInput$DesiredWeightsAndCapacities' => 'An object that provides new capacity and weight values for a variant.
', ], ], 'DestinationS3Uri' => [ 'base' => NULL, 'refs' => [ 'AsyncInferenceOutputConfig$S3OutputPath' => 'The Amazon S3 location to upload inference responses to.
', 'AsyncInferenceOutputConfig$S3FailurePath' => 'The Amazon S3 location to upload failure inference responses to.
', 'BatchTransformInput$DataCapturedDestinationS3Uri' => 'The Amazon S3 location being used to capture the data.
', 'DataCaptureConfig$DestinationS3Uri' => 'The Amazon S3 location used to capture the data.
', 'DataCaptureConfigSummary$DestinationS3Uri' => 'The Amazon S3 location being used to capture the data.
', 'InferenceExperimentDataStorageConfig$Destination' => 'The Amazon S3 bucket where the inference request and response data is stored.
', 'ProductionVariantCoreDumpConfig$DestinationS3Uri' => 'The Amazon S3 bucket to send the core dump to.
', ], ], 'DetailedAlgorithmStatus' => [ 'base' => NULL, 'refs' => [ 'AlgorithmStatusItem$Status' => 'The current status.
', ], ], 'DetailedModelPackageStatus' => [ 'base' => NULL, 'refs' => [ 'ModelPackageStatusItem$Status' => 'The current status.
', ], ], 'Device' => [ 'base' => 'Information of a particular device.
', 'refs' => [ 'Devices$member' => NULL, ], ], 'DeviceArn' => [ 'base' => NULL, 'refs' => [ 'DescribeDeviceResponse$DeviceArn' => 'The Amazon Resource Name (ARN) of the device.
', 'DeviceDeploymentSummary$DeviceArn' => 'The ARN of the device.
', 'DeviceSummary$DeviceArn' => 'Amazon Resource Name (ARN) of the device.
', ], ], 'DeviceDeploymentStatus' => [ 'base' => NULL, 'refs' => [ 'DeviceDeploymentSummary$DeviceDeploymentStatus' => 'The deployment status of the device.
', ], ], 'DeviceDeploymentSummaries' => [ 'base' => NULL, 'refs' => [ 'ListStageDevicesResponse$DeviceDeploymentSummaries' => 'List of summaries of devices allocated to the stage.
', ], ], 'DeviceDeploymentSummary' => [ 'base' => 'Contains information summarizing device details and deployment status.
', 'refs' => [ 'DeviceDeploymentSummaries$member' => NULL, ], ], 'DeviceDescription' => [ 'base' => NULL, 'refs' => [ 'DescribeDeviceResponse$Description' => 'A description of the device.
', 'Device$Description' => 'Description of the device.
', 'DeviceDeploymentSummary$Description' => 'The description of the device.
', 'DeviceSummary$Description' => 'A description of the device.
', ], ], 'DeviceFleetArn' => [ 'base' => NULL, 'refs' => [ 'DescribeDeviceFleetResponse$DeviceFleetArn' => 'The The Amazon Resource Name (ARN) of the fleet.
', 'DeviceFleetSummary$DeviceFleetArn' => 'Amazon Resource Name (ARN) of the device fleet.
', 'GetDeviceFleetReportResponse$DeviceFleetArn' => 'The Amazon Resource Name (ARN) of the device.
', ], ], 'DeviceFleetDescription' => [ 'base' => NULL, 'refs' => [ 'CreateDeviceFleetRequest$Description' => 'A description of the fleet.
', 'DescribeDeviceFleetResponse$Description' => 'A description of the fleet.
', 'GetDeviceFleetReportResponse$Description' => 'Description of the fleet.
', 'UpdateDeviceFleetRequest$Description' => 'Description of the fleet.
', ], ], 'DeviceFleetSummaries' => [ 'base' => NULL, 'refs' => [ 'ListDeviceFleetsResponse$DeviceFleetSummaries' => 'Summary of the device fleet.
', ], ], 'DeviceFleetSummary' => [ 'base' => 'Summary of the device fleet.
', 'refs' => [ 'DeviceFleetSummaries$member' => NULL, ], ], 'DeviceName' => [ 'base' => NULL, 'refs' => [ 'Device$DeviceName' => 'The name of the device.
', 'DeviceDeploymentSummary$DeviceName' => 'The name of the device.
', 'DeviceNames$member' => NULL, 'DeviceSelectionConfig$DeviceNameContains' => 'A filter to select devices with names containing this name.
', ], ], 'DeviceNames' => [ 'base' => NULL, 'refs' => [ 'DeregisterDevicesRequest$DeviceNames' => 'The unique IDs of the devices.
', 'DeviceSelectionConfig$DeviceNames' => 'List of devices chosen to deploy.
', ], ], 'DeviceSelectionConfig' => [ 'base' => 'Contains information about the configurations of selected devices.
', 'refs' => [ 'DeploymentStage$DeviceSelectionConfig' => 'Configuration of the devices in the stage.
', 'DeploymentStageStatusSummary$DeviceSelectionConfig' => 'Configuration of the devices in the stage.
', ], ], 'DeviceStats' => [ 'base' => 'Status of devices.
', 'refs' => [ 'GetDeviceFleetReportResponse$DeviceStats' => 'Status of devices.
', ], ], 'DeviceSubsetType' => [ 'base' => NULL, 'refs' => [ 'DeviceSelectionConfig$DeviceSubsetType' => 'Type of device subsets to deploy to the current stage.
', ], ], 'DeviceSummaries' => [ 'base' => NULL, 'refs' => [ 'ListDevicesResponse$DeviceSummaries' => 'Summary of devices.
', ], ], 'DeviceSummary' => [ 'base' => 'Summary of the device.
', 'refs' => [ 'DeviceSummaries$member' => NULL, ], ], 'Devices' => [ 'base' => NULL, 'refs' => [ 'RegisterDevicesRequest$Devices' => 'A list of devices to register with SageMaker Edge Manager.
', 'UpdateDevicesRequest$Devices' => 'List of devices to register with Edge Manager agent.
', ], ], 'Dimension' => [ 'base' => NULL, 'refs' => [ 'VectorConfig$Dimension' => 'The number of elements in your vector.
', ], ], 'DirectDeploySettings' => [ 'base' => 'The model deployment settings for the SageMaker Canvas application.
In order to enable model deployment for Canvas, the SageMaker Domain\'s or user profile\'s Amazon Web Services IAM execution role must have the AmazonSageMakerCanvasDirectDeployAccess policy attached. You can also turn on model deployment permissions through the SageMaker Domain\'s or user profile\'s settings in the SageMaker console.
The model deployment settings for the SageMaker Canvas application.
', ], ], 'DirectInternetAccess' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceInput$DirectInternetAccess' => 'Sets whether SageMaker AI provides internet access to the notebook instance. If you set this to Disabled this notebook instance is able to access resources only in your VPC, and is not be able to connect to SageMaker AI training and endpoint services unless you configure a NAT Gateway in your VPC.
For more information, see Notebook Instances Are Internet-Enabled by Default. You can set the value of this parameter to Disabled only if you set a value for the SubnetId parameter.
Describes whether SageMaker AI provides internet access to the notebook instance. If this value is set to Disabled, the notebook instance does not have internet access, and cannot connect to SageMaker AI training and endpoint services.
For more information, see Notebook Instances Are Internet-Enabled by Default.
', ], ], 'Direction' => [ 'base' => NULL, 'refs' => [ 'QueryLineageRequest$Direction' => 'Associations between lineage entities have a direction. This parameter determines the direction from the StartArn(s) that the query traverses.
', ], ], 'DirectoryPath' => [ 'base' => NULL, 'refs' => [ 'CheckpointConfig$LocalPath' => '(Optional) The local directory where checkpoints are written. The default directory is /opt/ml/checkpoints/.
Path to local storage location for metrics and tensors. Defaults to /opt/ml/output/tensors/.
Path to local storage location for output of rules. Defaults to /opt/ml/processing/output/rule/.
The full path to the directory to associate with the channel.
', 'ProfilerRuleConfiguration$LocalPath' => 'Path to local storage location for output of rules. Defaults to /opt/ml/processing/output/rule/.
Path to local storage location for tensorBoard output. Defaults to /opt/ml/output/tensorboard.
Configuration to turn off Amazon SageMaker Debugger\'s system monitoring and profiling functionality. To turn it off, set to True.
To turn off Amazon SageMaker Debugger monitoring and profiling while a training job is in progress, set to True.
A list of names or URLs of the default Git repositories to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error.
', ], ], 'DisassociateDefaultCodeRepository' => [ 'base' => NULL, 'refs' => [ 'UpdateNotebookInstanceInput$DisassociateDefaultCodeRepository' => 'The name or URL of the default Git repository to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error.
', ], ], 'DisassociateNotebookInstanceAcceleratorTypes' => [ 'base' => NULL, 'refs' => [ 'UpdateNotebookInstanceInput$DisassociateAcceleratorTypes' => 'This parameter is no longer supported. Elastic Inference (EI) is no longer available.
This parameter was used to specify a list of the EI instance types to remove from this notebook instance.
', ], ], 'DisassociateNotebookInstanceLifecycleConfig' => [ 'base' => NULL, 'refs' => [ 'UpdateNotebookInstanceInput$DisassociateLifecycleConfig' => 'Set to true to remove the notebook instance lifecycle configuration currently associated with the notebook instance. This operation is idempotent. If you specify a lifecycle configuration that is not associated with the notebook instance when you call this method, it does not throw an error.
A collection of settings that configure the domain\'s Docker interaction.
', 'refs' => [ 'DomainSettings$DockerSettings' => 'A collection of settings that configure the domain\'s Docker interaction.
', 'DomainSettingsForUpdate$DockerSettings' => 'A collection of settings that configure the domain\'s Docker interaction.
', ], ], 'DocumentSchemaVersion' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$DocumentSchemaVersion' => 'The document schema version for the hub content.
', 'HubContentInfo$DocumentSchemaVersion' => 'The version of the hub content document schema.
', 'ImportHubContentRequest$DocumentSchemaVersion' => 'The version of the hub content schema to import.
', 'ListHubContentVersionsRequest$MaxSchemaVersion' => 'The upper bound of the hub content schema version.
', 'ListHubContentsRequest$MaxSchemaVersion' => 'The upper bound of the hub content schema verion.
', ], ], 'Dollars' => [ 'base' => NULL, 'refs' => [ 'USD$Dollars' => 'The whole number of dollars in the amount.
', ], ], 'DomainArn' => [ 'base' => NULL, 'refs' => [ 'CreateDomainResponse$DomainArn' => 'The Amazon Resource Name (ARN) of the created domain.
', 'DescribeDomainResponse$DomainArn' => 'The domain\'s Amazon Resource Name (ARN).
', 'DomainDetails$DomainArn' => 'The domain\'s Amazon Resource Name (ARN).
', 'UpdateDomainResponse$DomainArn' => 'The Amazon Resource Name (ARN) of the domain.
', ], ], 'DomainDetails' => [ 'base' => 'The domain\'s details.
', 'refs' => [ 'DomainList$member' => NULL, ], ], 'DomainId' => [ 'base' => NULL, 'refs' => [ 'AppDetails$DomainId' => 'The domain ID.
', 'CreateAppRequest$DomainId' => 'The domain ID.
', 'CreatePresignedDomainUrlRequest$DomainId' => 'The domain ID.
', 'CreateSpaceRequest$DomainId' => 'The ID of the associated domain.
', 'CreateUserProfileRequest$DomainId' => 'The ID of the associated Domain.
', 'DeleteAppRequest$DomainId' => 'The domain ID.
', 'DeleteDomainRequest$DomainId' => 'The domain ID.
', 'DeleteSpaceRequest$DomainId' => 'The ID of the associated domain.
', 'DeleteUserProfileRequest$DomainId' => 'The domain ID.
', 'DescribeAppRequest$DomainId' => 'The domain ID.
', 'DescribeAppResponse$DomainId' => 'The domain ID.
', 'DescribeDomainRequest$DomainId' => 'The domain ID.
', 'DescribeDomainResponse$DomainId' => 'The domain ID.
', 'DescribeSpaceRequest$DomainId' => 'The ID of the associated domain.
', 'DescribeSpaceResponse$DomainId' => 'The ID of the associated domain.
', 'DescribeUserProfileRequest$DomainId' => 'The domain ID.
', 'DescribeUserProfileResponse$DomainId' => 'The ID of the domain that contains the profile.
', 'DomainDetails$DomainId' => 'The domain ID.
', 'ListAppsRequest$DomainIdEquals' => 'A parameter to search for the domain ID.
', 'ListSpacesRequest$DomainIdEquals' => 'A parameter to search for the domain ID.
', 'ListUserProfilesRequest$DomainIdEquals' => 'A parameter by which to filter the results.
', 'SpaceDetails$DomainId' => 'The ID of the associated domain.
', 'UpdateDomainRequest$DomainId' => 'The ID of the domain to be updated.
', 'UpdateSpaceRequest$DomainId' => 'The ID of the associated domain.
', 'UpdateUserProfileRequest$DomainId' => 'The domain ID.
', 'UserProfileDetails$DomainId' => 'The domain ID.
', ], ], 'DomainList' => [ 'base' => NULL, 'refs' => [ 'ListDomainsResponse$Domains' => 'The list of domains.
', ], ], 'DomainName' => [ 'base' => NULL, 'refs' => [ 'CreateDomainRequest$DomainName' => 'A name for the domain.
', 'DescribeDomainResponse$DomainName' => 'The domain name.
', 'DomainDetails$DomainName' => 'The domain name.
', ], ], 'DomainSecurityGroupIds' => [ 'base' => NULL, 'refs' => [ 'DomainSettings$SecurityGroupIds' => 'The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication between Domain-level apps and user apps.
The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication between Domain-level apps and user apps.
A collection of settings that apply to the SageMaker Domain. These settings are specified through the CreateDomain API call.
A collection of Domain settings.
A collection of Domain settings.
A collection of Domain configuration settings to update.
A collection of DomainSettings configuration values to update.
The status.
', 'DomainDetails$Status' => 'The status.
', ], ], 'Double' => [ 'base' => NULL, 'refs' => [ 'TargetTrackingScalingPolicyConfiguration$TargetValue' => 'The recommended target value to specify for the metric when creating a scaling policy.
', ], ], 'DoubleParameterValue' => [ 'base' => NULL, 'refs' => [ 'TrialComponentParameterValue$NumberValue' => 'The numeric value of a numeric hyperparameter. If you specify a value for this parameter, you can\'t specify the StringValue parameter.
Represents the drift check baselines that can be used when the model monitor is set using the model package.
', 'refs' => [ 'CreateModelPackageInput$DriftCheckBaselines' => 'Represents the drift check baselines that can be used when the model monitor is set using the model package. For more information, see the topic on Drift Detection against Previous Baselines in SageMaker Pipelines in the Amazon SageMaker Developer Guide.
', 'DescribeModelPackageOutput$DriftCheckBaselines' => 'Represents the drift check baselines that can be used when the model monitor is set using the model package. For more information, see the topic on Drift Detection against Previous Baselines in SageMaker Pipelines in the Amazon SageMaker Developer Guide.
', 'ModelPackage$DriftCheckBaselines' => 'Represents the drift check baselines that can be used when the model monitor is set using the model package.
', ], ], 'DriftCheckBias' => [ 'base' => 'Represents the drift check bias baselines that can be used when the model monitor is set using the model package.
', 'refs' => [ 'DriftCheckBaselines$Bias' => 'Represents the drift check bias baselines that can be used when the model monitor is set using the model package.
', ], ], 'DriftCheckExplainability' => [ 'base' => 'Represents the drift check explainability baselines that can be used when the model monitor is set using the model package.
', 'refs' => [ 'DriftCheckBaselines$Explainability' => 'Represents the drift check explainability baselines that can be used when the model monitor is set using the model package.
', ], ], 'DriftCheckModelDataQuality' => [ 'base' => 'Represents the drift check data quality baselines that can be used when the model monitor is set using the model package.
', 'refs' => [ 'DriftCheckBaselines$ModelDataQuality' => 'Represents the drift check model data quality baselines that can be used when the model monitor is set using the model package.
', ], ], 'DriftCheckModelQuality' => [ 'base' => 'Represents the drift check model quality baselines that can be used when the model monitor is set using the model package.
', 'refs' => [ 'DriftCheckBaselines$ModelQuality' => 'Represents the drift check model quality baselines that can be used when the model monitor is set using the model package.
', ], ], 'DynamicScalingConfiguration' => [ 'base' => 'An object with the recommended values for you to specify when creating an autoscaling policy.
', 'refs' => [ 'GetScalingConfigurationRecommendationResponse$DynamicScalingConfiguration' => 'An object with the recommended values for you to specify when creating an autoscaling policy.
', ], ], 'EFSFileSystem' => [ 'base' => 'A file system, created by you in Amazon EFS, that you assign to a user profile or space for an Amazon SageMaker AI Domain. Permitted users can access this file system in Amazon SageMaker AI Studio.
', 'refs' => [ 'CustomFileSystem$EFSFileSystem' => 'A custom file system in Amazon EFS.
', ], ], 'EFSFileSystemConfig' => [ 'base' => 'The settings for assigning a custom Amazon EFS file system to a user profile or space for an Amazon SageMaker AI Domain.
', 'refs' => [ 'CustomFileSystemConfig$EFSFileSystemConfig' => 'The settings for a custom Amazon EFS file system.
', ], ], 'EMRStepMetadata' => [ 'base' => 'The configurations and outcomes of an Amazon EMR step execution.
', 'refs' => [ 'PipelineExecutionStepMetadata$EMR' => 'The configurations and outcomes of an Amazon EMR step execution.
', ], ], 'EbsStorageSettings' => [ 'base' => 'A collection of EBS storage settings that apply to both private and shared spaces.
', 'refs' => [ 'SpaceStorageSettings$EbsStorageSettings' => 'A collection of EBS storage settings for a space.
', ], ], 'Edge' => [ 'base' => 'A directed edge connecting two lineage entities.
', 'refs' => [ 'Edges$member' => NULL, ], ], 'EdgeDeploymentConfig' => [ 'base' => 'Contains information about the configuration of a deployment.
', 'refs' => [ 'DeploymentStage$DeploymentConfig' => 'Configuration of the deployment details.
', 'DeploymentStageStatusSummary$DeploymentConfig' => 'Configuration of the deployment details.
', ], ], 'EdgeDeploymentModelConfig' => [ 'base' => 'Contains information about the configuration of a model in a deployment.
', 'refs' => [ 'EdgeDeploymentModelConfigs$member' => NULL, ], ], 'EdgeDeploymentModelConfigs' => [ 'base' => NULL, 'refs' => [ 'CreateEdgeDeploymentPlanRequest$ModelConfigs' => 'List of models associated with the edge deployment plan.
', 'DescribeEdgeDeploymentPlanResponse$ModelConfigs' => 'List of models associated with the edge deployment plan.
', ], ], 'EdgeDeploymentPlanArn' => [ 'base' => NULL, 'refs' => [ 'CreateEdgeDeploymentPlanResponse$EdgeDeploymentPlanArn' => 'The ARN of the edge deployment plan.
', 'DescribeEdgeDeploymentPlanResponse$EdgeDeploymentPlanArn' => 'The ARN of edge deployment plan.
', 'DeviceDeploymentSummary$EdgeDeploymentPlanArn' => 'The ARN of the edge deployment plan.
', 'EdgeDeploymentPlanSummary$EdgeDeploymentPlanArn' => 'The ARN of the edge deployment plan.
', ], ], 'EdgeDeploymentPlanSummaries' => [ 'base' => NULL, 'refs' => [ 'ListEdgeDeploymentPlansResponse$EdgeDeploymentPlanSummaries' => 'List of summaries of edge deployment plans.
', ], ], 'EdgeDeploymentPlanSummary' => [ 'base' => 'Contains information summarizing an edge deployment plan.
', 'refs' => [ 'EdgeDeploymentPlanSummaries$member' => NULL, ], ], 'EdgeDeploymentStatus' => [ 'base' => 'Contains information summarizing the deployment stage results.
', 'refs' => [ 'DeploymentStageStatusSummary$DeploymentStatus' => 'General status of the current state.
', ], ], 'EdgeModel' => [ 'base' => 'The model on the edge device.
', 'refs' => [ 'EdgeModels$member' => NULL, ], ], 'EdgeModelStat' => [ 'base' => 'Status of edge devices with this model.
', 'refs' => [ 'EdgeModelStats$member' => NULL, ], ], 'EdgeModelStats' => [ 'base' => NULL, 'refs' => [ 'GetDeviceFleetReportResponse$ModelStats' => 'Status of model on device.
', ], ], 'EdgeModelSummaries' => [ 'base' => NULL, 'refs' => [ 'DeviceSummary$Models' => 'Models on the device.
', ], ], 'EdgeModelSummary' => [ 'base' => 'Summary of model on edge device.
', 'refs' => [ 'EdgeModelSummaries$member' => NULL, ], ], 'EdgeModels' => [ 'base' => NULL, 'refs' => [ 'DescribeDeviceResponse$Models' => 'Models on the device.
', ], ], 'EdgeOutputConfig' => [ 'base' => 'The output configuration.
', 'refs' => [ 'CreateDeviceFleetRequest$OutputConfig' => 'The output configuration for storing sample data collected by the fleet.
', 'CreateEdgePackagingJobRequest$OutputConfig' => 'Provides information about the output location for the packaged model.
', 'DescribeDeviceFleetResponse$OutputConfig' => 'The output configuration for storing sampled data.
', 'DescribeEdgePackagingJobResponse$OutputConfig' => 'The output configuration for the edge packaging job.
', 'GetDeviceFleetReportResponse$OutputConfig' => 'The output configuration for storing sample data collected by the fleet.
', 'UpdateDeviceFleetRequest$OutputConfig' => 'Output configuration for storing sample data collected by the fleet.
', ], ], 'EdgePackagingJobArn' => [ 'base' => NULL, 'refs' => [ 'DescribeEdgePackagingJobResponse$EdgePackagingJobArn' => 'The Amazon Resource Name (ARN) of the edge packaging job.
', 'EdgePackagingJobSummary$EdgePackagingJobArn' => 'The Amazon Resource Name (ARN) of the edge packaging job.
', ], ], 'EdgePackagingJobStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeEdgePackagingJobResponse$EdgePackagingJobStatus' => 'The current status of the packaging job.
', 'EdgePackagingJobSummary$EdgePackagingJobStatus' => 'The status of the edge packaging job.
', 'ListEdgePackagingJobsRequest$StatusEquals' => 'The job status to filter for.
', ], ], 'EdgePackagingJobSummaries' => [ 'base' => NULL, 'refs' => [ 'ListEdgePackagingJobsResponse$EdgePackagingJobSummaries' => 'Summaries of edge packaging jobs.
', ], ], 'EdgePackagingJobSummary' => [ 'base' => 'Summary of edge packaging job.
', 'refs' => [ 'EdgePackagingJobSummaries$member' => NULL, ], ], 'EdgePresetDeploymentArtifact' => [ 'base' => NULL, 'refs' => [ 'EdgePresetDeploymentOutput$Artifact' => 'The Amazon Resource Name (ARN) of the generated deployable resource.
', ], ], 'EdgePresetDeploymentOutput' => [ 'base' => 'The output of a SageMaker Edge Manager deployable resource.
', 'refs' => [ 'DescribeEdgePackagingJobResponse$PresetDeploymentOutput' => 'The output of a SageMaker Edge Manager deployable resource.
', ], ], 'EdgePresetDeploymentStatus' => [ 'base' => NULL, 'refs' => [ 'EdgePresetDeploymentOutput$Status' => 'The status of the deployable resource.
', ], ], 'EdgePresetDeploymentType' => [ 'base' => NULL, 'refs' => [ 'EdgeOutputConfig$PresetDeploymentType' => 'The deployment type SageMaker Edge Manager will create. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.
', 'EdgePresetDeploymentOutput$Type' => 'The deployment type created by SageMaker Edge Manager. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.
', ], ], 'EdgeVersion' => [ 'base' => NULL, 'refs' => [ 'AgentVersion$Version' => 'Version of the agent.
', 'CreateEdgePackagingJobRequest$ModelVersion' => 'The version of the model.
', 'DescribeDeviceResponse$AgentVersion' => 'Edge Manager agent version.
', 'DescribeEdgePackagingJobResponse$ModelVersion' => 'The version of the model.
', 'DeviceSummary$AgentVersion' => 'Edge Manager agent version.
', 'EdgeModel$ModelVersion' => 'The model version.
', 'EdgeModelStat$ModelVersion' => 'The model version.
', 'EdgeModelSummary$ModelVersion' => 'The version model.
', 'EdgePackagingJobSummary$ModelVersion' => 'The version of the model.
', ], ], 'Edges' => [ 'base' => NULL, 'refs' => [ 'QueryLineageResponse$Edges' => 'A list of edges that connect vertices in the response.
', ], ], 'EfsUid' => [ 'base' => NULL, 'refs' => [ 'DescribeSpaceResponse$HomeEfsFileSystemUid' => 'The ID of the space\'s profile in the Amazon EFS volume.
', 'DescribeUserProfileResponse$HomeEfsFileSystemUid' => 'The ID of the user\'s profile in the Amazon Elastic File System volume.
', ], ], 'EksClusterArn' => [ 'base' => NULL, 'refs' => [ 'ClusterOrchestratorEksConfig$ClusterArn' => 'The Amazon Resource Name (ARN) of the Amazon EKS cluster associated with the SageMaker HyperPod cluster.
', ], ], 'EmrServerlessComputeConfig' => [ 'base' => 'This data type is intended for use exclusively by SageMaker Canvas and cannot be used in other contexts at the moment.
Specifies the compute configuration for the EMR Serverless job.
', 'refs' => [ 'AutoMLComputeConfig$EmrServerlessComputeConfig' => 'The configuration for using EMR Serverless to run the AutoML job V2.
To allow your AutoML job V2 to automatically initiate a remote job on EMR Serverless when additional compute resources are needed to process large datasets, you need to provide an EmrServerlessComputeConfig object, which includes an ExecutionRoleARN attribute, to the AutoMLComputeConfig of the AutoML job V2 input request.
By seamlessly transitioning to EMR Serverless when required, the AutoML job can handle datasets that would otherwise exceed the initially provisioned resources, without any manual intervention from you.
EMR Serverless is available for the tabular and time series problem types. We recommend setting up this option for tabular datasets larger than 5 GB and time series datasets larger than 30 GB.
', ], ], 'EmrServerlessSettings' => [ 'base' => 'The settings for running Amazon EMR Serverless jobs in SageMaker Canvas.
', 'refs' => [ 'CanvasAppSettings$EmrServerlessSettings' => 'The settings for running Amazon EMR Serverless data processing jobs in SageMaker Canvas.
', ], ], 'EmrSettings' => [ 'base' => 'The configuration parameters that specify the IAM roles assumed by the execution role of SageMaker (assumable roles) and the cluster instances or job execution environments (execution roles or runtime roles) to manage and access resources required for running Amazon EMR clusters or Amazon EMR Serverless applications.
', 'refs' => [ 'JupyterLabAppSettings$EmrSettings' => 'The configuration parameters that specify the IAM roles assumed by the execution role of SageMaker (assumable roles) and the cluster instances or job execution environments (execution roles or runtime roles) to manage and access resources required for running Amazon EMR clusters or Amazon EMR Serverless applications.
', ], ], 'EnableCapture' => [ 'base' => NULL, 'refs' => [ 'DataCaptureConfig$EnableCapture' => 'Whether data capture should be enabled or disabled (defaults to enabled).
', 'DataCaptureConfigSummary$EnableCapture' => 'Whether data capture is enabled or disabled.
', ], ], 'EnableInfraCheck' => [ 'base' => NULL, 'refs' => [ 'InfraCheckConfig$EnableInfraCheck' => 'Enables an infrastructure health check.
', ], ], 'EnableIotRoleAlias' => [ 'base' => NULL, 'refs' => [ 'CreateDeviceFleetRequest$EnableIotRoleAlias' => 'Whether to create an Amazon Web Services IoT Role Alias during device fleet creation. The name of the role alias generated will match this pattern: "SageMakerEdge-{DeviceFleetName}".
For example, if your device fleet is called "demo-fleet", the name of the role alias will be "SageMakerEdge-demo-fleet".
', 'UpdateDeviceFleetRequest$EnableIotRoleAlias' => 'Whether to create an Amazon Web Services IoT Role Alias during device fleet creation. The name of the role alias generated will match this pattern: "SageMakerEdge-{DeviceFleetName}".
For example, if your device fleet is called "demo-fleet", the name of the role alias will be "SageMakerEdge-demo-fleet".
', ], ], 'EnableRemoteDebug' => [ 'base' => NULL, 'refs' => [ 'RemoteDebugConfig$EnableRemoteDebug' => 'If set to True, enables remote debugging.
', 'RemoteDebugConfigForUpdate$EnableRemoteDebug' => 'If set to True, enables remote debugging.
', ], ], 'EnableSagemakerServicecatalogPortfolioInput' => [ 'base' => NULL, 'refs' => [], ], 'EnableSagemakerServicecatalogPortfolioOutput' => [ 'base' => NULL, 'refs' => [], ], 'EnableSessionTagChaining' => [ 'base' => NULL, 'refs' => [ 'SessionChainingConfig$EnableSessionTagChaining' => 'Set to True to allow SageMaker to extract session tags from a training job creation role and reuse these tags when assuming the training job execution role.
When SourceIp is Enabled the worker\'s IP address when a task is rendered in the worker portal is added to the IAM policy as a Condition used to generate the Amazon S3 presigned URL. This IP address is checked by Amazon S3 and must match in order for the Amazon S3 resource to be rendered in the worker portal.
When VpcSourceIp is Enabled the worker\'s IP address when a task is rendered in private worker portal inside the VPC is added to the IAM policy as a Condition used to generate the Amazon S3 presigned URL. To render the task successfully Amazon S3 checks that the presigned URL is being accessed over an Amazon S3 VPC Endpoint, and that the worker\'s IP address matches the IP address in the IAM policy. To learn more about configuring private worker portal, see Use Amazon VPC mode from a private worker portal.
A hosted endpoint for real-time inference.
', 'refs' => [ 'SearchRecord$Endpoint' => NULL, ], ], 'EndpointArn' => [ 'base' => NULL, 'refs' => [ 'CreateEndpointOutput$EndpointArn' => 'The Amazon Resource Name (ARN) of the endpoint.
', 'DescribeEndpointOutput$EndpointArn' => 'The Amazon Resource Name (ARN) of the endpoint.
', 'DescribeInferenceComponentOutput$EndpointArn' => 'The Amazon Resource Name (ARN) of the endpoint that hosts the inference component.
', 'Endpoint$EndpointArn' => 'The Amazon Resource Name (ARN) of the endpoint.
', 'EndpointStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the endpoint in the step.
', 'EndpointSummary$EndpointArn' => 'The Amazon Resource Name (ARN) of the endpoint.
', 'InferenceComponentSummary$EndpointArn' => 'The Amazon Resource Name (ARN) of the endpoint that hosts the inference component.
', 'ModelDashboardEndpoint$EndpointArn' => 'The Amazon Resource Name (ARN) of the endpoint.
', 'UpdateEndpointOutput$EndpointArn' => 'The Amazon Resource Name (ARN) of the endpoint.
', 'UpdateEndpointWeightsAndCapacitiesOutput$EndpointArn' => 'The Amazon Resource Name (ARN) of the updated endpoint.
', ], ], 'EndpointConfigArn' => [ 'base' => NULL, 'refs' => [ 'CreateEndpointConfigOutput$EndpointConfigArn' => 'The Amazon Resource Name (ARN) of the endpoint configuration.
', 'DescribeEndpointConfigOutput$EndpointConfigArn' => 'The Amazon Resource Name (ARN) of the endpoint configuration.
', 'EndpointConfigStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the endpoint configuration used in the step.
', 'EndpointConfigSummary$EndpointConfigArn' => 'The Amazon Resource Name (ARN) of the endpoint configuration.
', ], ], 'EndpointConfigName' => [ 'base' => NULL, 'refs' => [ 'CreateEndpointConfigInput$EndpointConfigName' => 'The name of the endpoint configuration. You specify this name in a CreateEndpoint request.
', 'CreateEndpointInput$EndpointConfigName' => 'The name of an endpoint configuration. For more information, see CreateEndpointConfig.
', 'DeleteEndpointConfigInput$EndpointConfigName' => 'The name of the endpoint configuration that you want to delete.
', 'DescribeEndpointConfigInput$EndpointConfigName' => 'The name of the endpoint configuration.
', 'DescribeEndpointConfigOutput$EndpointConfigName' => 'Name of the SageMaker endpoint configuration.
', 'DescribeEndpointOutput$EndpointConfigName' => 'The name of the endpoint configuration associated with this endpoint.
', 'Endpoint$EndpointConfigName' => 'The endpoint configuration associated with the endpoint.
', 'EndpointConfigSummary$EndpointConfigName' => 'The name of the endpoint configuration.
', 'EndpointMetadata$EndpointConfigName' => 'The name of the endpoint configuration.
', 'PendingDeploymentSummary$EndpointConfigName' => 'The name of the endpoint configuration used in the deployment.
', 'UpdateEndpointInput$EndpointConfigName' => 'The name of the new endpoint configuration.
', ], ], 'EndpointConfigNameContains' => [ 'base' => NULL, 'refs' => [ 'ListEndpointConfigsInput$NameContains' => 'A string in the endpoint configuration name. This filter returns only endpoint configurations whose name contains the specified string.
', ], ], 'EndpointConfigSortKey' => [ 'base' => NULL, 'refs' => [ 'ListEndpointConfigsInput$SortBy' => 'The field to sort results by. The default is CreationTime.
Metadata for an endpoint configuration step.
', 'refs' => [ 'PipelineExecutionStepMetadata$EndpointConfig' => 'The endpoint configuration used to create an endpoint during this step execution.
', ], ], 'EndpointConfigSummary' => [ 'base' => 'Provides summary information for an endpoint configuration.
', 'refs' => [ 'EndpointConfigSummaryList$member' => NULL, ], ], 'EndpointConfigSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListEndpointConfigsOutput$EndpointConfigs' => 'An array of endpoint configurations.
', ], ], 'EndpointInfo' => [ 'base' => 'Details about a customer endpoint that was compared in an Inference Recommender job.
', 'refs' => [ 'EndpointPerformance$EndpointInfo' => NULL, 'Endpoints$member' => NULL, ], ], 'EndpointInput' => [ 'base' => 'Input object for the endpoint
', 'refs' => [ 'DataQualityJobInput$EndpointInput' => NULL, 'ModelBiasJobInput$EndpointInput' => NULL, 'ModelExplainabilityJobInput$EndpointInput' => NULL, 'ModelQualityJobInput$EndpointInput' => NULL, 'MonitoringInput$EndpointInput' => 'The endpoint for a monitoring job.
', ], ], 'EndpointInputConfiguration' => [ 'base' => 'The endpoint configuration for the load test.
', 'refs' => [ 'EndpointInputConfigurations$member' => NULL, ], ], 'EndpointInputConfigurations' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobInputConfig$EndpointConfigurations' => 'Specifies the endpoint configuration to use for a job.
', ], ], 'EndpointMetadata' => [ 'base' => 'The metadata of the endpoint.
', 'refs' => [ 'DescribeInferenceExperimentResponse$EndpointMetadata' => 'The metadata of the endpoint on which the inference experiment ran.
', ], ], 'EndpointName' => [ 'base' => NULL, 'refs' => [ 'CreateEndpointInput$EndpointName' => 'The name of the endpoint.The name must be unique within an Amazon Web Services Region in your Amazon Web Services account. The name is case-insensitive in CreateEndpoint, but the case is preserved and must be matched in InvokeEndpoint.
The name of an existing endpoint where you host the inference component.
', 'CreateInferenceExperimentRequest$EndpointName' => 'The name of the Amazon SageMaker endpoint on which you want to run the inference experiment.
', 'DeleteEndpointInput$EndpointName' => 'The name of the endpoint that you want to delete.
', 'DescribeEndpointInput$EndpointName' => 'The name of the endpoint.
', 'DescribeEndpointOutput$EndpointName' => 'Name of the endpoint.
', 'DescribeInferenceComponentOutput$EndpointName' => 'The name of the endpoint that hosts the inference component.
', 'DescribeMonitoringScheduleResponse$EndpointName' => 'The name of the endpoint for the monitoring job.
', 'Endpoint$EndpointName' => 'The name of the endpoint.
', 'EndpointInfo$EndpointName' => 'The name of a customer\'s endpoint.
', 'EndpointInput$EndpointName' => 'An endpoint in customer\'s account which has enabled DataCaptureConfig enabled.
The name of the endpoint.
', 'EndpointSummary$EndpointName' => 'The name of the endpoint.
', 'GetScalingConfigurationRecommendationRequest$EndpointName' => 'The name of an endpoint benchmarked during a previously completed inference recommendation job. This name should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.
Specify either this field or the RecommendationId field.
The name of an endpoint benchmarked during a previously completed Inference Recommender job.
', 'InferenceComponentSummary$EndpointName' => 'The name of the endpoint that hosts the inference component.
', 'ListDataQualityJobDefinitionsRequest$EndpointName' => 'A filter that lists the data quality job definitions associated with the specified endpoint.
', 'ListInferenceComponentsInput$EndpointNameEquals' => 'An endpoint name to filter the listed inference components. The response includes only those inference components that are hosted at the specified endpoint.
', 'ListModelBiasJobDefinitionsRequest$EndpointName' => 'Name of the endpoint to monitor for model bias.
', 'ListModelExplainabilityJobDefinitionsRequest$EndpointName' => 'Name of the endpoint to monitor for model explainability.
', 'ListModelQualityJobDefinitionsRequest$EndpointName' => 'A filter that returns only model quality monitoring job definitions that are associated with the specified endpoint.
', 'ListMonitoringExecutionsRequest$EndpointName' => 'Name of a specific endpoint to fetch jobs for.
', 'ListMonitoringSchedulesRequest$EndpointName' => 'Name of a specific endpoint to fetch schedules for.
', 'ModelDashboardEndpoint$EndpointName' => 'The endpoint name.
', 'ModelDashboardMonitoringSchedule$EndpointName' => 'The endpoint which is monitored.
', 'ModelDeployConfig$EndpointName' => 'Specifies the endpoint name to use for a one-click Autopilot model deployment if the endpoint name is not generated automatically.
Specify the EndpointName if and only if you set AutoGenerateEndpointName to False; otherwise a 400 error is thrown.
The name of the endpoint to which the model has been deployed.
If model deployment fails, this field is omitted from the response.
The name of the endpoint used to run the monitoring job.
', 'MonitoringJobDefinitionSummary$EndpointName' => 'The name of the endpoint that the job monitors.
', 'MonitoringSchedule$EndpointName' => 'The endpoint that hosts the model being monitored.
', 'MonitoringScheduleSummary$EndpointName' => 'The name of the endpoint using the monitoring schedule.
', 'UpdateEndpointInput$EndpointName' => 'The name of the endpoint whose configuration you want to update.
', 'UpdateEndpointWeightsAndCapacitiesInput$EndpointName' => 'The name of an existing SageMaker endpoint.
', ], ], 'EndpointNameContains' => [ 'base' => NULL, 'refs' => [ 'ListEndpointsInput$NameContains' => 'A string in endpoint names. This filter returns only endpoints whose name contains the specified string.
', ], ], 'EndpointOutputConfiguration' => [ 'base' => 'The endpoint configuration made by Inference Recommender during a recommendation job.
', 'refs' => [ 'InferenceRecommendation$EndpointConfiguration' => 'Defines the endpoint configuration parameters.
', 'RecommendationJobInferenceBenchmark$EndpointConfiguration' => NULL, ], ], 'EndpointPerformance' => [ 'base' => 'The performance results from running an Inference Recommender job on an existing endpoint.
', 'refs' => [ 'EndpointPerformances$member' => NULL, ], ], 'EndpointPerformances' => [ 'base' => NULL, 'refs' => [ 'DescribeInferenceRecommendationsJobResponse$EndpointPerformances' => 'The performance results from running an Inference Recommender job on an existing endpoint.
', ], ], 'EndpointSortKey' => [ 'base' => NULL, 'refs' => [ 'ListEndpointsInput$SortBy' => 'Sorts the list of results. The default is CreationTime.
The status of the endpoint.
OutOfService: Endpoint is not available to take incoming requests.
Creating: CreateEndpoint is executing.
Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
SystemUpdating: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count.
RollingBack: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly.
InService: Endpoint is available to process incoming requests.
Deleting: DeleteEndpoint is executing.
Failed: Endpoint could not be created, updated, or re-scaled. Use the FailureReason value returned by DescribeEndpoint for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.
UpdateRollbackFailed: Both the rolling deployment and auto-rollback failed. Your endpoint is in service with a mix of the old and new endpoint configurations. For information about how to remedy this issue and restore the endpoint\'s status to InService, see Rolling Deployments.
The status of the endpoint.
', 'EndpointMetadata$EndpointStatus' => 'The status of the endpoint. For possible values of the status of an endpoint, see EndpointSummary.
', 'EndpointSummary$EndpointStatus' => 'The status of the endpoint.
OutOfService: Endpoint is not available to take incoming requests.
Creating: CreateEndpoint is executing.
Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
SystemUpdating: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count.
RollingBack: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly.
InService: Endpoint is available to process incoming requests.
Deleting: DeleteEndpoint is executing.
Failed: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.
To get a list of endpoints with a specified status, use the StatusEquals filter with a call to ListEndpoints.
A filter that returns only endpoints with the specified status.
', 'ModelDashboardEndpoint$EndpointStatus' => 'The endpoint status.
', ], ], 'EndpointStepMetadata' => [ 'base' => 'Metadata for an endpoint step.
', 'refs' => [ 'PipelineExecutionStepMetadata$Endpoint' => 'The endpoint that was invoked during this step execution.
', ], ], 'EndpointSummary' => [ 'base' => 'Provides summary information for an endpoint.
', 'refs' => [ 'EndpointSummaryList$member' => NULL, ], ], 'EndpointSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListEndpointsOutput$Endpoints' => 'An array or endpoint objects.
', ], ], 'Endpoints' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobInputConfig$Endpoints' => 'Existing customer endpoints on which to run an Inference Recommender job.
', ], ], 'EntityDescription' => [ 'base' => NULL, 'refs' => [ 'AdditionalInferenceSpecificationDefinition$Description' => 'A description of the additional Inference specification
', 'AlgorithmSummary$AlgorithmDescription' => 'A brief description of the algorithm.
', 'BatchDescribeModelPackageSummary$ModelPackageDescription' => 'The description of the model package.
', 'ChannelSpecification$Description' => 'A brief description of the channel.
', 'CreateAlgorithmInput$AlgorithmDescription' => 'A description of the algorithm.
', 'CreateClusterSchedulerConfigRequest$Description' => 'Description of the cluster policy.
', 'CreateComputeQuotaRequest$Description' => 'Description of the compute allocation definition.
', 'CreateModelPackageGroupInput$ModelPackageGroupDescription' => 'A description for the model group.
', 'CreateModelPackageInput$ModelPackageDescription' => 'A description of the model package.
', 'CreateProjectInput$ProjectDescription' => 'A description for the project.
', 'DescribeAlgorithmOutput$AlgorithmDescription' => 'A brief summary about the algorithm.
', 'DescribeClusterSchedulerConfigResponse$Description' => 'Description of the cluster policy.
', 'DescribeComputeQuotaResponse$Description' => 'Description of the compute allocation definition.
', 'DescribeModelPackageGroupOutput$ModelPackageGroupDescription' => 'A description of the model group.
', 'DescribeModelPackageOutput$ModelPackageDescription' => 'A brief summary of the model package.
', 'DescribeProjectOutput$ProjectDescription' => 'The description of the project.
', 'HyperParameterSpecification$Description' => 'A brief description of the hyperparameter.
', 'ModelPackage$ModelPackageDescription' => 'The description of the model package.
', 'ModelPackageGroup$ModelPackageGroupDescription' => 'The description for the model group.
', 'ModelPackageGroupSummary$ModelPackageGroupDescription' => 'A description of the model group.
', 'ModelPackageSummary$ModelPackageDescription' => 'A brief description of the model package.
', 'Project$ProjectDescription' => 'The description of the project.
', 'ProjectSummary$ProjectDescription' => 'The description of the project.
', 'UpdateClusterSchedulerConfigRequest$Description' => 'Description of the cluster policy.
', 'UpdateComputeQuotaRequest$Description' => 'Description of the compute allocation definition.
', 'UpdateProjectInput$ProjectDescription' => 'The description for the project.
', ], ], 'EntityName' => [ 'base' => NULL, 'refs' => [ 'AdditionalInferenceSpecificationDefinition$Name' => 'A unique name to identify the additional inference specification. The name must be unique within the list of your additional inference specifications for a particular model package.
', 'AlgorithmStatusItem$Name' => 'The name of the algorithm for which the overall status is being reported.
', 'AlgorithmSummary$AlgorithmName' => 'The name of the algorithm that is described by the summary.
', 'AlgorithmValidationProfile$ProfileName' => 'The name of the profile for the algorithm. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
', 'BatchDescribeModelPackageSummary$ModelPackageGroupName' => 'The group name for the model package
', 'ClusterSchedulerConfigSummary$Name' => 'Name of the cluster policy.
', 'CodeRepositorySummary$CodeRepositoryName' => 'The name of the Git repository.
', 'CompilationJobSummary$CompilationJobName' => 'The name of the model compilation job that you want a summary for.
', 'ComputeQuotaSummary$Name' => 'Name of the compute allocation definition.
', 'CreateAlgorithmInput$AlgorithmName' => 'The name of the algorithm.
', 'CreateClusterSchedulerConfigRequest$Name' => 'Name for the cluster policy.
', 'CreateCodeRepositoryInput$CodeRepositoryName' => 'The name of the Git repository. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
', 'CreateCompilationJobRequest$CompilationJobName' => 'A name for the model compilation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account.
', 'CreateComputeQuotaRequest$Name' => 'Name to the compute allocation definition.
', 'CreateDeviceFleetRequest$DeviceFleetName' => 'The name of the fleet that the device belongs to.
', 'CreateEdgeDeploymentPlanRequest$EdgeDeploymentPlanName' => 'The name of the edge deployment plan.
', 'CreateEdgeDeploymentPlanRequest$DeviceFleetName' => 'The device fleet used for this edge deployment plan.
', 'CreateEdgeDeploymentStageRequest$EdgeDeploymentPlanName' => 'The name of the edge deployment plan.
', 'CreateEdgePackagingJobRequest$EdgePackagingJobName' => 'The name of the edge packaging job.
', 'CreateEdgePackagingJobRequest$CompilationJobName' => 'The name of the SageMaker Neo compilation job that will be used to locate model artifacts for packaging.
', 'CreateEdgePackagingJobRequest$ModelName' => 'The name of the model.
', 'CreateModelCardExportJobRequest$ModelCardExportJobName' => 'The name of the model card export job.
', 'CreateModelCardRequest$ModelCardName' => 'The unique name of the model card.
', 'CreateModelPackageGroupInput$ModelPackageGroupName' => 'The name of the model group.
', 'CreateModelPackageInput$ModelPackageName' => 'The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
This parameter is required for unversioned models. It is not applicable to versioned models.
', 'CreateOptimizationJobRequest$OptimizationJobName' => 'A custom name for the new optimization job.
', 'DeleteAlgorithmInput$AlgorithmName' => 'The name of the algorithm to delete.
', 'DeleteCodeRepositoryInput$CodeRepositoryName' => 'The name of the Git repository to delete.
', 'DeleteCompilationJobRequest$CompilationJobName' => 'The name of the compilation job to delete.
', 'DeleteDeviceFleetRequest$DeviceFleetName' => 'The name of the fleet to delete.
', 'DeleteEdgeDeploymentPlanRequest$EdgeDeploymentPlanName' => 'The name of the edge deployment plan to delete.
', 'DeleteEdgeDeploymentStageRequest$EdgeDeploymentPlanName' => 'The name of the edge deployment plan from which the stage will be deleted.
', 'DeleteEdgeDeploymentStageRequest$StageName' => 'The name of the stage.
', 'DeleteModelCardRequest$ModelCardName' => 'The name of the model card to delete.
', 'DeleteModelPackageGroupPolicyInput$ModelPackageGroupName' => 'The name of the model group for which to delete the policy.
', 'DeleteOptimizationJobRequest$OptimizationJobName' => 'The name that you assigned to the optimization job.
', 'DeploymentStage$StageName' => 'The name of the stage.
', 'DeploymentStageStatusSummary$StageName' => 'The name of the stage.
', 'DeregisterDevicesRequest$DeviceFleetName' => 'The name of the fleet the devices belong to.
', 'DescribeAlgorithmOutput$AlgorithmName' => 'The name of the algorithm being described.
', 'DescribeClusterSchedulerConfigResponse$Name' => 'Name of the cluster policy.
', 'DescribeCodeRepositoryInput$CodeRepositoryName' => 'The name of the Git repository to describe.
', 'DescribeCodeRepositoryOutput$CodeRepositoryName' => 'The name of the Git repository.
', 'DescribeCompilationJobRequest$CompilationJobName' => 'The name of the model compilation job that you want information about.
', 'DescribeCompilationJobResponse$CompilationJobName' => 'The name of the model compilation job.
', 'DescribeComputeQuotaResponse$Name' => 'Name of the compute allocation definition.
', 'DescribeDeviceFleetRequest$DeviceFleetName' => 'The name of the fleet.
', 'DescribeDeviceFleetResponse$DeviceFleetName' => 'The name of the fleet.
', 'DescribeDeviceRequest$DeviceName' => 'The unique ID of the device.
', 'DescribeDeviceRequest$DeviceFleetName' => 'The name of the fleet the devices belong to.
', 'DescribeDeviceResponse$DeviceName' => 'The unique identifier of the device.
', 'DescribeDeviceResponse$DeviceFleetName' => 'The name of the fleet the device belongs to.
', 'DescribeEdgeDeploymentPlanRequest$EdgeDeploymentPlanName' => 'The name of the deployment plan to describe.
', 'DescribeEdgeDeploymentPlanResponse$EdgeDeploymentPlanName' => 'The name of the edge deployment plan.
', 'DescribeEdgeDeploymentPlanResponse$DeviceFleetName' => 'The device fleet used for this edge deployment plan.
', 'DescribeEdgePackagingJobRequest$EdgePackagingJobName' => 'The name of the edge packaging job.
', 'DescribeEdgePackagingJobResponse$EdgePackagingJobName' => 'The name of the edge packaging job.
', 'DescribeEdgePackagingJobResponse$CompilationJobName' => 'The name of the SageMaker Neo compilation job that is used to locate model artifacts that are being packaged.
', 'DescribeEdgePackagingJobResponse$ModelName' => 'The name of the model.
', 'DescribeModelCardExportJobResponse$ModelCardExportJobName' => 'The name of the model card export job to describe.
', 'DescribeModelCardExportJobResponse$ModelCardName' => 'The name or Amazon Resource Name (ARN) of the model card that the model export job exports.
', 'DescribeModelCardResponse$ModelCardName' => 'The name of the model card.
', 'DescribeModelPackageGroupOutput$ModelPackageGroupName' => 'The name of the model group.
', 'DescribeModelPackageOutput$ModelPackageName' => 'The name of the model package being described.
', 'DescribeModelPackageOutput$ModelPackageGroupName' => 'If the model is a versioned model, the name of the model group that the versioned model belongs to.
', 'DescribeOptimizationJobRequest$OptimizationJobName' => 'The name that you assigned to the optimization job.
', 'DescribeOptimizationJobResponse$OptimizationJobName' => 'The name that you assigned to the optimization job.
', 'DeviceDeploymentSummary$EdgeDeploymentPlanName' => 'The name of the edge deployment plan.
', 'DeviceDeploymentSummary$StageName' => 'The name of the stage in the edge deployment plan.
', 'DeviceDeploymentSummary$DeployedStageName' => 'The name of the deployed stage.
', 'DeviceDeploymentSummary$DeviceFleetName' => 'The name of the fleet to which the device belongs to.
', 'DeviceFleetSummary$DeviceFleetName' => 'Name of the device fleet.
', 'DeviceSummary$DeviceName' => 'The unique identifier of the device.
', 'DeviceSummary$DeviceFleetName' => 'The name of the fleet the device belongs to.
', 'EdgeDeploymentModelConfig$ModelHandle' => 'The name the device application uses to reference this model.
', 'EdgeDeploymentModelConfig$EdgePackagingJobName' => 'The edge packaging job associated with this deployment.
', 'EdgeDeploymentPlanSummary$EdgeDeploymentPlanName' => 'The name of the edge deployment plan.
', 'EdgeDeploymentPlanSummary$DeviceFleetName' => 'The name of the device fleet used for the deployment.
', 'EdgeModel$ModelName' => 'The name of the model.
', 'EdgeModelStat$ModelName' => 'The name of the model.
', 'EdgeModelSummary$ModelName' => 'The name of the model.
', 'EdgePackagingJobSummary$EdgePackagingJobName' => 'The name of the edge packaging job.
', 'EdgePackagingJobSummary$CompilationJobName' => 'The name of the SageMaker Neo compilation job.
', 'EdgePackagingJobSummary$ModelName' => 'The name of the model.
', 'GetDeviceFleetReportRequest$DeviceFleetName' => 'The name of the fleet.
', 'GetDeviceFleetReportResponse$DeviceFleetName' => 'The name of the fleet.
', 'GetModelPackageGroupPolicyInput$ModelPackageGroupName' => 'The name of the model group for which to get the resource policy.
', 'ListClusterSchedulerConfigsRequest$NameContains' => 'Filter for name containing this string.
', 'ListComputeQuotasRequest$NameContains' => 'Filter for name containing this string.
', 'ListDevicesRequest$ModelName' => 'A filter that searches devices that contains this name in any of their models.
', 'ListDevicesRequest$DeviceFleetName' => 'Filter for fleets containing this name in their device fleet name.
', 'ListModelCardExportJobsRequest$ModelCardName' => 'List export jobs for the model card with the specified name.
', 'ListModelCardExportJobsRequest$ModelCardExportJobNameContains' => 'Only list model card export jobs with names that contain the specified string.
', 'ListModelCardsRequest$NameContains' => 'Only list model cards with names that contain the specified string.
', 'ListStageDevicesRequest$EdgeDeploymentPlanName' => 'The name of the edge deployment plan.
', 'ListStageDevicesRequest$StageName' => 'The name of the stage in the deployment.
', 'ModelCard$ModelCardName' => 'The unique name of the model card.
', 'ModelCardExportJobSummary$ModelCardExportJobName' => 'The name of the model card export job.
', 'ModelCardExportJobSummary$ModelCardName' => 'The name of the model card that the export job exports.
', 'ModelCardSummary$ModelCardName' => 'The name of the model card.
', 'ModelCardVersionSummary$ModelCardName' => 'The name of the model card.
', 'ModelDashboardModelCard$ModelCardName' => 'The name of a model card.
', 'ModelLifeCycle$Stage' => 'The current stage in the model life cycle.
', 'ModelLifeCycle$StageStatus' => 'The current status of a stage in model life cycle.
', 'ModelPackage$ModelPackageName' => 'The name of the model.
', 'ModelPackage$ModelPackageGroupName' => 'The model group to which the model belongs.
', 'ModelPackageGroup$ModelPackageGroupName' => 'The name of the model group.
', 'ModelPackageGroupSummary$ModelPackageGroupName' => 'The name of the model group.
', 'ModelPackageStatusItem$Name' => 'The name of the model package for which the overall status is being reported.
', 'ModelPackageSummary$ModelPackageName' => 'The name of the model package.
', 'ModelPackageSummary$ModelPackageGroupName' => 'If the model package is a versioned model, the model group that the versioned model belongs to.
', 'ModelPackageValidationProfile$ProfileName' => 'The name of the profile for the model package.
', 'OptimizationJobSummary$OptimizationJobName' => 'The name that you assigned to the optimization job.
', 'PutModelPackageGroupPolicyInput$ModelPackageGroupName' => 'The name of the model group to add a resource policy to.
', 'RegisterDevicesRequest$DeviceFleetName' => 'The name of the fleet.
', 'StartEdgeDeploymentStageRequest$EdgeDeploymentPlanName' => 'The name of the edge deployment plan to start.
', 'StartEdgeDeploymentStageRequest$StageName' => 'The name of the stage to start.
', 'StopCompilationJobRequest$CompilationJobName' => 'The name of the model compilation job to stop.
', 'StopEdgeDeploymentStageRequest$EdgeDeploymentPlanName' => 'The name of the edge deployment plan to stop.
', 'StopEdgeDeploymentStageRequest$StageName' => 'The name of the stage to stop.
', 'StopEdgePackagingJobRequest$EdgePackagingJobName' => 'The name of the edge packaging job.
', 'StopOptimizationJobRequest$OptimizationJobName' => 'The name that you assigned to the optimization job.
', 'UpdateCodeRepositoryInput$CodeRepositoryName' => 'The name of the Git repository to update.
', 'UpdateDeviceFleetRequest$DeviceFleetName' => 'The name of the fleet.
', 'UpdateDevicesRequest$DeviceFleetName' => 'The name of the fleet the devices belong to.
', ], ], 'EnvironmentKey' => [ 'base' => NULL, 'refs' => [ 'EnvironmentMap$key' => NULL, ], ], 'EnvironmentMap' => [ 'base' => NULL, 'refs' => [ 'AutoMLContainerDefinition$Environment' => 'The environment variables to set in the container. For more information, see ContainerDefinition.
', 'ContainerDefinition$Environment' => 'The environment variables to set in the Docker container. Don\'t include any sensitive data in your environment variables.
The maximum length of each key and value in the Environment map is 1024 bytes. The maximum length of all keys and values in the map, combined, is 32 KB. If you pass multiple containers to a CreateModel request, then the maximum length of all of their maps, combined, is also 32 KB.
The environment variables to set in the Docker container. Each key and value in the Environment string-to-string map can have length of up to 1024. We support up to 16 entries in the map.
', 'InferenceComponentContainerSpecificationSummary$Environment' => 'The environment variables to set in the Docker container.
', 'ModelPackageContainerDefinition$Environment' => 'The environment variables to set in the Docker container. Each key and value in the Environment string to string map can have length of up to 1024. We support up to 16 entries in the map.
The recommended environment variables to set in the model container for Real-Time Inference.
', ], ], 'EnvironmentParameter' => [ 'base' => 'A list of environment parameters suggested by the Amazon SageMaker Inference Recommender.
', 'refs' => [ 'EnvironmentParameters$member' => NULL, ], ], 'EnvironmentParameterRanges' => [ 'base' => 'Specifies the range of environment parameters
', 'refs' => [ 'EndpointInputConfiguration$EnvironmentParameterRanges' => 'The parameter you want to benchmark against.
', ], ], 'EnvironmentParameters' => [ 'base' => NULL, 'refs' => [ 'ModelConfiguration$EnvironmentParameters' => 'Defines the environment parameters that includes key, value types, and values.
', ], ], 'EnvironmentValue' => [ 'base' => NULL, 'refs' => [ 'EnvironmentMap$value' => NULL, ], ], 'ErrorInfo' => [ 'base' => 'This is an error field object that contains the error code and the reason for an operation failure.
', 'refs' => [ 'DescribePartnerAppResponse$Error' => 'This is an error field object that contains the error code and the reason for an operation failure.
', ], ], 'ExcludeFeaturesAttribute' => [ 'base' => NULL, 'refs' => [ 'BatchTransformInput$ExcludeFeaturesAttribute' => 'The attributes of the input data to exclude from the analysis.
', 'EndpointInput$ExcludeFeaturesAttribute' => 'The attributes of the input data to exclude from the analysis.
', ], ], 'ExecutionRoleArns' => [ 'base' => NULL, 'refs' => [ 'EmrSettings$ExecutionRoleArns' => 'An array of Amazon Resource Names (ARNs) of the IAM roles used by the Amazon EMR cluster instances or job execution environments to access other Amazon Web Services services and resources needed during the runtime of your Amazon EMR or Amazon EMR Serverless workloads, such as Amazon S3 for data access, Amazon CloudWatch for logging, or other Amazon Web Services services based on the particular workload requirements.
', ], ], 'ExecutionRoleIdentityConfig' => [ 'base' => NULL, 'refs' => [ 'DomainSettings$ExecutionRoleIdentityConfig' => 'The configuration for attaching a SageMaker AI user profile name to the execution role as a sts:SourceIdentity key.
', 'DomainSettingsForUpdate$ExecutionRoleIdentityConfig' => 'The configuration for attaching a SageMaker AI user profile name to the execution role as a sts:SourceIdentity key. This configuration can only be modified if there are no apps in the InService or Pending state.
A filter that retrieves only jobs with a specific status.
', 'MonitoringExecutionSummary$MonitoringExecutionStatus' => 'The status of the monitoring job.
', ], ], 'ExitMessage' => [ 'base' => NULL, 'refs' => [ 'DescribeProcessingJobResponse$ExitMessage' => 'An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
', 'ProcessingJob$ExitMessage' => 'A string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
', 'ProcessingJobSummary$ExitMessage' => 'An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
', ], ], 'Experiment' => [ 'base' => 'The properties of an experiment as returned by the Search API.
', 'refs' => [ 'SearchRecord$Experiment' => 'The properties of an experiment.
', ], ], 'ExperimentArn' => [ 'base' => NULL, 'refs' => [ 'CreateExperimentResponse$ExperimentArn' => 'The Amazon Resource Name (ARN) of the experiment.
', 'DeleteExperimentResponse$ExperimentArn' => 'The Amazon Resource Name (ARN) of the experiment that is being deleted.
', 'DescribeExperimentResponse$ExperimentArn' => 'The Amazon Resource Name (ARN) of the experiment.
', 'Experiment$ExperimentArn' => 'The Amazon Resource Name (ARN) of the experiment.
', 'ExperimentSummary$ExperimentArn' => 'The Amazon Resource Name (ARN) of the experiment.
', 'UpdateExperimentResponse$ExperimentArn' => 'The Amazon Resource Name (ARN) of the experiment.
', ], ], 'ExperimentConfig' => [ 'base' => 'Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:
', 'refs' => [ 'CreateProcessingJobRequest$ExperimentConfig' => NULL, 'CreateTrainingJobRequest$ExperimentConfig' => NULL, 'CreateTransformJobRequest$ExperimentConfig' => NULL, 'DescribeProcessingJobResponse$ExperimentConfig' => 'The configuration information used to create an experiment.
', 'DescribeTrainingJobResponse$ExperimentConfig' => NULL, 'DescribeTransformJobResponse$ExperimentConfig' => NULL, 'ProcessingJob$ExperimentConfig' => NULL, 'TrainingJob$ExperimentConfig' => NULL, 'TransformJob$ExperimentConfig' => NULL, ], ], 'ExperimentDescription' => [ 'base' => NULL, 'refs' => [ 'CreateActionRequest$Description' => 'The description of the action.
', 'CreateContextRequest$Description' => 'The description of the context.
', 'CreateExperimentRequest$Description' => 'The description of the experiment.
', 'DescribeActionResponse$Description' => 'The description of the action.
', 'DescribeContextResponse$Description' => 'The description of the context.
', 'DescribeExperimentResponse$Description' => 'The description of the experiment.
', 'DescribeLineageGroupResponse$Description' => 'The description of the lineage group.
', 'Experiment$Description' => 'The description of the experiment.
', 'UpdateActionRequest$Description' => 'The new description for the action.
', 'UpdateContextRequest$Description' => 'The new description for the context.
', 'UpdateExperimentRequest$Description' => 'The description of the experiment.
', ], ], 'ExperimentEntityName' => [ 'base' => NULL, 'refs' => [ 'ActionSummary$ActionName' => 'The name of the action.
', 'ArtifactSummary$ArtifactName' => 'The name of the artifact.
', 'AssociateTrialComponentRequest$TrialComponentName' => 'The name of the component to associated with the trial.
', 'AssociateTrialComponentRequest$TrialName' => 'The name of the trial to associate with.
', 'AssociationSummary$SourceName' => 'The name of the source.
', 'AssociationSummary$DestinationName' => 'The name of the destination.
', 'CreateActionRequest$ActionName' => 'The name of the action. Must be unique to your account in an Amazon Web Services Region.
', 'CreateArtifactRequest$ArtifactName' => 'The name of the artifact. Must be unique to your account in an Amazon Web Services Region.
', 'CreateExperimentRequest$ExperimentName' => 'The name of the experiment. The name must be unique in your Amazon Web Services account and is not case-sensitive.
', 'CreateExperimentRequest$DisplayName' => 'The name of the experiment as displayed. The name doesn\'t need to be unique. If you don\'t specify DisplayName, the value in ExperimentName is displayed.
The name of the component. The name must be unique in your Amazon Web Services account and is not case-sensitive.
', 'CreateTrialComponentRequest$DisplayName' => 'The name of the component as displayed. The name doesn\'t need to be unique. If DisplayName isn\'t specified, TrialComponentName is displayed.
The name of the trial. The name must be unique in your Amazon Web Services account and is not case-sensitive.
', 'CreateTrialRequest$DisplayName' => 'The name of the trial as displayed. The name doesn\'t need to be unique. If DisplayName isn\'t specified, TrialName is displayed.
The name of the experiment to associate the trial with.
', 'DeleteActionRequest$ActionName' => 'The name of the action to delete.
', 'DeleteExperimentRequest$ExperimentName' => 'The name of the experiment to delete.
', 'DeleteTrialComponentRequest$TrialComponentName' => 'The name of the component to delete.
', 'DeleteTrialRequest$TrialName' => 'The name of the trial to delete.
', 'DescribeExperimentRequest$ExperimentName' => 'The name of the experiment to describe.
', 'DescribeExperimentResponse$ExperimentName' => 'The name of the experiment.
', 'DescribeExperimentResponse$DisplayName' => 'The name of the experiment as displayed. If DisplayName isn\'t specified, ExperimentName is displayed.
The name of the lineage group.
', 'DescribeLineageGroupResponse$LineageGroupName' => 'The name of the lineage group.
', 'DescribeLineageGroupResponse$DisplayName' => 'The display name of the lineage group.
', 'DescribeTrialComponentResponse$TrialComponentName' => 'The name of the trial component.
', 'DescribeTrialComponentResponse$DisplayName' => 'The name of the component as displayed. If DisplayName isn\'t specified, TrialComponentName is displayed.
The name of the trial to describe.
', 'DescribeTrialResponse$TrialName' => 'The name of the trial.
', 'DescribeTrialResponse$DisplayName' => 'The name of the trial as displayed. If DisplayName isn\'t specified, TrialName is displayed.
The name of the experiment the trial is part of.
', 'DisassociateTrialComponentRequest$TrialComponentName' => 'The name of the component to disassociate from the trial.
', 'DisassociateTrialComponentRequest$TrialName' => 'The name of the trial to disassociate from.
', 'Experiment$ExperimentName' => 'The name of the experiment.
', 'Experiment$DisplayName' => 'The name of the experiment as displayed. If DisplayName isn\'t specified, ExperimentName is displayed.
The name of an existing experiment to associate with the trial component.
', 'ExperimentConfig$TrialName' => 'The name of an existing trial to associate the trial component with. If not specified, a new trial is created.
', 'ExperimentConfig$TrialComponentDisplayName' => 'The display name for the trial component. If this key isn\'t specified, the display name is the trial component name.
', 'ExperimentConfig$RunName' => 'The name of the experiment run to associate with the trial component.
', 'ExperimentSummary$ExperimentName' => 'The name of the experiment.
', 'ExperimentSummary$DisplayName' => 'The name of the experiment as displayed. If DisplayName isn\'t specified, ExperimentName is displayed.
The name or Amazon Resource Name (ARN) of the lineage group.
', 'LineageGroupSummary$DisplayName' => 'The display name of the lineage group summary.
', 'ListTrialComponentsRequest$ExperimentName' => 'A filter that returns only components that are part of the specified experiment. If you specify ExperimentName, you can\'t filter by SourceArn or TrialName.
A filter that returns only components that are part of the specified trial. If you specify TrialName, you can\'t filter by ExperimentName or SourceArn.
A filter that returns only trials that are part of the specified experiment.
', 'ListTrialsRequest$TrialComponentName' => 'A filter that returns only trials that are associated with the specified trial component.
', 'Parent$TrialName' => 'The name of the trial.
', 'Parent$ExperimentName' => 'The name of the experiment.
', 'PipelineExperimentConfig$ExperimentName' => 'The name of the experiment.
', 'PipelineExperimentConfig$TrialName' => 'The name of the trial.
', 'Trial$TrialName' => 'The name of the trial.
', 'Trial$DisplayName' => 'The name of the trial as displayed. If DisplayName isn\'t specified, TrialName is displayed.
The name of the experiment the trial is part of.
', 'TrialComponent$TrialComponentName' => 'The name of the trial component.
', 'TrialComponent$DisplayName' => 'The name of the component as displayed. If DisplayName isn\'t specified, TrialComponentName is displayed.
The name of the experiment run.
', 'TrialComponentSimpleSummary$TrialComponentName' => 'The name of the trial component.
', 'TrialComponentSummary$TrialComponentName' => 'The name of the trial component.
', 'TrialComponentSummary$DisplayName' => 'The name of the component as displayed. If DisplayName isn\'t specified, TrialComponentName is displayed.
The name of the trial.
', 'TrialSummary$DisplayName' => 'The name of the trial as displayed. If DisplayName isn\'t specified, TrialName is displayed.
The name of the action to update.
', 'UpdateArtifactRequest$ArtifactName' => 'The new name for the artifact.
', 'UpdateExperimentRequest$ExperimentName' => 'The name of the experiment to update.
', 'UpdateExperimentRequest$DisplayName' => 'The name of the experiment as displayed. The name doesn\'t need to be unique. If DisplayName isn\'t specified, ExperimentName is displayed.
The name of the component to update.
', 'UpdateTrialComponentRequest$DisplayName' => 'The name of the component as displayed. The name doesn\'t need to be unique. If DisplayName isn\'t specified, TrialComponentName is displayed.
The name of the trial to update.
', 'UpdateTrialRequest$DisplayName' => 'The name of the trial as displayed. The name doesn\'t need to be unique. If DisplayName isn\'t specified, TrialName is displayed.
The name of the action to describe.
', 'DescribeActionResponse$ActionName' => 'The name of the action.
', 'DescribeArtifactResponse$ArtifactName' => 'The name of the artifact.
', 'DescribeTrialComponentRequest$TrialComponentName' => 'The name of the trial component to describe.
', ], ], 'ExperimentSource' => [ 'base' => 'The source of the experiment.
', 'refs' => [ 'DescribeExperimentResponse$Source' => 'The Amazon Resource Name (ARN) of the source and, optionally, the type.
', 'Experiment$Source' => NULL, 'ExperimentSummary$ExperimentSource' => NULL, ], ], 'ExperimentSourceArn' => [ 'base' => NULL, 'refs' => [ 'ExperimentSource$SourceArn' => 'The Amazon Resource Name (ARN) of the source.
', ], ], 'ExperimentSummaries' => [ 'base' => NULL, 'refs' => [ 'ListExperimentsResponse$ExperimentSummaries' => 'A list of the summaries of your experiments.
', ], ], 'ExperimentSummary' => [ 'base' => 'A summary of the properties of an experiment. To get the complete set of properties, call the DescribeExperiment API and provide the ExperimentName.
The time that will pass before the presigned URL expires.
', 'CreatePresignedDomainUrlRequest$ExpiresInSeconds' => 'The number of seconds until the pre-signed URL expires. This value defaults to 300.
', 'CreatePresignedMlflowTrackingServerUrlRequest$ExpiresInSeconds' => 'The duration in seconds that your presigned URL is valid. The presigned URL can be used only once.
', ], ], 'Explainability' => [ 'base' => 'Contains explainability metrics for a model.
', 'refs' => [ 'ModelMetrics$Explainability' => 'Metrics that help explain a model.
', ], ], 'ExplainabilityLocation' => [ 'base' => NULL, 'refs' => [ 'CandidateArtifactLocations$Explainability' => 'The Amazon S3 prefix to the explainability artifacts generated for the AutoML candidate.
', ], ], 'ExplainerConfig' => [ 'base' => 'A parameter to activate explainers.
', 'refs' => [ 'CreateEndpointConfigInput$ExplainerConfig' => 'A member of CreateEndpointConfig that enables explainers.
The configuration parameters for an explainer.
', 'DescribeEndpointOutput$ExplainerConfig' => 'The configuration parameters for an explainer.
', ], ], 'FSxLustreFileSystem' => [ 'base' => 'A custom file system in Amazon FSx for Lustre.
', 'refs' => [ 'CustomFileSystem$FSxLustreFileSystem' => 'A custom file system in Amazon FSx for Lustre.
', ], ], 'FSxLustreFileSystemConfig' => [ 'base' => 'The settings for assigning a custom Amazon FSx for Lustre file system to a user profile or space for an Amazon SageMaker Domain.
', 'refs' => [ 'CustomFileSystemConfig$FSxLustreFileSystemConfig' => 'The settings for a custom Amazon FSx for Lustre file system.
', ], ], 'FailStepMetadata' => [ 'base' => 'The container for the metadata for Fail step.
', 'refs' => [ 'PipelineExecutionStepMetadata$Fail' => 'The configurations and outcomes of a Fail step execution.
', ], ], 'FailureHandlingPolicy' => [ 'base' => NULL, 'refs' => [ 'EdgeDeploymentConfig$FailureHandlingPolicy' => 'Toggle that determines whether to rollback to previous configuration if the current deployment fails. By default this is turned on. You may turn this off if you want to investigate the errors yourself.
', ], ], 'FailureReason' => [ 'base' => NULL, 'refs' => [ 'ConflictException$Message' => NULL, 'DescribeAppResponse$FailureReason' => 'The failure reason.
', 'DescribeClusterSchedulerConfigResponse$FailureReason' => 'Failure reason of the cluster policy.
', 'DescribeCompilationJobResponse$FailureReason' => 'If a model compilation job failed, the reason it failed.
', 'DescribeComputeQuotaResponse$FailureReason' => 'Failure reason of the compute allocation definition.
', 'DescribeDomainResponse$FailureReason' => 'The failure reason.
', 'DescribeEndpointOutput$FailureReason' => 'If the status of the endpoint is Failed, the reason why it failed.
The reason that the FeatureGroup failed to be replicated in the OfflineStore. This is failure can occur because:
The FeatureGroup could not be created in the OfflineStore.
The FeatureGroup could not be deleted from the OfflineStore.
The reason your flow definition failed.
', 'DescribeHubContentResponse$FailureReason' => 'The failure reason if importing hub content failed.
', 'DescribeHubResponse$FailureReason' => 'The failure reason if importing hub content failed.
', 'DescribeHyperParameterTuningJobResponse$FailureReason' => 'If the tuning job failed, the reason it failed.
', 'DescribeImageResponse$FailureReason' => 'When a create, update, or delete operation fails, the reason for the failure.
', 'DescribeImageVersionResponse$FailureReason' => 'When a create or delete operation fails, the reason for the failure.
', 'DescribeInferenceComponentOutput$FailureReason' => 'If the inference component status is Failed, the reason for the failure.
If the job fails, provides information why the job failed.
', 'DescribeLabelingJobResponse$FailureReason' => 'If the job failed, the reason that it failed.
', 'DescribeModelCardExportJobResponse$FailureReason' => 'The failure reason if the model export job fails.
', 'DescribeMonitoringScheduleResponse$FailureReason' => 'A string, up to one KB in size, that contains the reason a monitoring job failed, if it failed.
', 'DescribeNotebookInstanceOutput$FailureReason' => 'If status is Failed, the reason it failed.
If the optimization job status is FAILED, the reason for the failure.
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
', 'DescribeSpaceResponse$FailureReason' => 'The failure reason.
', 'DescribeTrainingJobResponse$FailureReason' => 'If the training job failed, the reason it failed.
', 'DescribeTransformJobResponse$FailureReason' => 'If the transform job failed, FailureReason describes why it failed. A transform job creates a log file, which includes error messages, and stores it as an Amazon S3 object. For more information, see Log Amazon SageMaker Events with Amazon CloudWatch.
The failure reason.
', 'Endpoint$FailureReason' => 'If the endpoint failed, the reason it failed.
', 'EndpointMetadata$FailureReason' => ' If the status of the endpoint is Failed, or the status is InService but update operation fails, this provides the reason why it failed.
The reason that the FeatureGroup failed to be replicated in the OfflineStore. This is failure may be due to a failure to create a FeatureGroup in or delete a FeatureGroup from the OfflineStore.
The reason why the flow definition creation failed. A failure reason is returned only when the flow definition status is Failed.
The reason that the training job failed.
', 'HyperParameterTuningJobSearchEntity$FailureReason' => 'The error that was created when a hyperparameter tuning job failed.
', 'Image$FailureReason' => 'When a create, update, or delete operation fails, the reason for the failure.
', 'ImageVersion$FailureReason' => 'When a create or delete operation fails, the reason for the failure.
', 'InferenceRecommendationsJob$FailureReason' => 'If the job fails, provides information why the job failed.
', 'LabelingJobSummary$FailureReason' => 'If the LabelingJobStatus field is Failed, this field contains a description of the error.
If the update wasn\'t successful, indicates the reason why it failed.
', 'ModelDashboardMonitoringSchedule$FailureReason' => 'If a monitoring job failed, provides the reason.
', 'MonitoringExecutionSummary$FailureReason' => 'Contains the reason a monitoring job failed, if it failed.
', 'MonitoringSchedule$FailureReason' => 'If the monitoring schedule failed, the reason it failed.
', 'PipelineExecutionStep$FailureReason' => 'The reason why the step failed execution. This is only returned if the step failed its execution.
', 'ProcessingJob$FailureReason' => 'A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
', 'ProcessingJobSummary$FailureReason' => 'A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
', 'ResourceInUse$Message' => NULL, 'ResourceLimitExceeded$Message' => NULL, 'ResourceNotFound$Message' => NULL, 'TrainingJob$FailureReason' => 'If the training job failed, the reason it failed.
', 'TransformJob$FailureReason' => 'If the transform job failed, the reason it failed.
', 'TransformJobSummary$FailureReason' => 'If the transform job failed, the reason it failed.
', ], ], 'FairShare' => [ 'base' => NULL, 'refs' => [ 'SchedulerConfig$FairShare' => 'When enabled, entities borrow idle compute based on their assigned FairShareWeight.
When disabled, entities borrow idle compute based on a first-come first-serve basis.
Default is Enabled.
Assigned entity fair-share weight. Idle compute will be shared across entities based on these assigned weights. This weight is only used when FairShare is enabled.
A weight of 0 is the lowest priority and 100 is the highest. Weight 0 is the default.
', ], ], 'FeatureAdditions' => [ 'base' => NULL, 'refs' => [ 'UpdateFeatureGroupRequest$FeatureAdditions' => 'Updates the feature group. Updating a feature group is an asynchronous operation. When you get an HTTP 200 response, you\'ve made a valid request. It takes some time after you\'ve made a valid request for Feature Store to update the feature group.
', ], ], 'FeatureDefinition' => [ 'base' => 'A list of features. You must include FeatureName and FeatureType. Valid feature FeatureTypes are Integral, Fractional and String.
A list of Feature names and types. Name and Type is compulsory per Feature.
Valid feature FeatureTypes are Integral, Fractional and String.
FeatureNames cannot be any of the following: is_deleted, write_time, api_invocation_time
You can create up to 2,500 FeatureDefinitions per FeatureGroup.
A list of the Features in the FeatureGroup. Each feature is defined by a FeatureName and FeatureType.
A list of Features. Each Feature must include a FeatureName and a FeatureType.
Valid FeatureTypes are Integral, Fractional and String.
FeatureNames cannot be any of the following: is_deleted, write_time, api_invocation_time.
You can create up to 2,500 FeatureDefinitions per FeatureGroup.
The description you added to describe the feature.
', 'FeatureMetadata$Description' => 'An optional description that you specify to better describe the feature.
', 'UpdateFeatureMetadataRequest$Description' => 'A description that you can write to better describe the feature.
', ], ], 'FeatureGroup' => [ 'base' => 'Amazon SageMaker Feature Store stores features in a collection called Feature Group. A Feature Group can be visualized as a table which has rows, with a unique identifier for each row where each column in the table is a feature. In principle, a Feature Group is composed of features and values per features.
', 'refs' => [ 'SearchRecord$FeatureGroup' => NULL, ], ], 'FeatureGroupArn' => [ 'base' => NULL, 'refs' => [ 'CreateFeatureGroupResponse$FeatureGroupArn' => 'The Amazon Resource Name (ARN) of the FeatureGroup. This is a unique identifier for the feature group.
The Amazon Resource Name (ARN) of the FeatureGroup.
The Amazon Resource Number (ARN) of the feature group that contains the feature.
', 'FeatureGroup$FeatureGroupArn' => 'The Amazon Resource Name (ARN) of a FeatureGroup.
Unique identifier for the FeatureGroup.
The Amazon Resource Number (ARN) of the feature group.
', 'UpdateFeatureGroupResponse$FeatureGroupArn' => 'The Amazon Resource Number (ARN) of the feature group that you\'re updating.
', ], ], 'FeatureGroupMaxResults' => [ 'base' => NULL, 'refs' => [ 'ListFeatureGroupsRequest$MaxResults' => 'The maximum number of results returned by ListFeatureGroups.
The name of the FeatureGroup. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.
The name:
Must start with an alphanumeric character.
Can only include alphanumeric characters, underscores, and hyphens. Spaces are not allowed.
The name of the FeatureGroup you want to delete. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.
he name of the FeatureGroup.
The name of the feature group that you\'ve specified.
', 'FeatureGroup$FeatureGroupName' => 'The name of the FeatureGroup.
The name of FeatureGroup.
The name of the feature group containing the feature.
', 'ProcessingFeatureStoreOutput$FeatureGroupName' => 'The name of the Amazon SageMaker FeatureGroup to use as the destination for processing job output. Note that your processing script is responsible for putting records into your Feature Store.
', ], ], 'FeatureGroupNameContains' => [ 'base' => NULL, 'refs' => [ 'ListFeatureGroupsRequest$NameContains' => 'A string that partially matches one or more FeatureGroups names. Filters FeatureGroups by name.
The name or Amazon Resource Name (ARN) of the FeatureGroup you want described.
The name or Amazon Resource Name (ARN) of the feature group containing the feature.
', 'UpdateFeatureGroupRequest$FeatureGroupName' => 'The name or Amazon Resource Name (ARN) of the feature group that you\'re updating.
', 'UpdateFeatureMetadataRequest$FeatureGroupName' => 'The name or Amazon Resource Name (ARN) of the feature group containing the feature that you\'re updating.
', ], ], 'FeatureGroupSortBy' => [ 'base' => NULL, 'refs' => [ 'ListFeatureGroupsRequest$SortBy' => 'The value on which the feature group list is sorted.
', ], ], 'FeatureGroupSortOrder' => [ 'base' => NULL, 'refs' => [ 'ListFeatureGroupsRequest$SortOrder' => 'The order in which feature groups are listed.
', ], ], 'FeatureGroupStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeFeatureGroupResponse$FeatureGroupStatus' => 'The status of the feature group.
', 'FeatureGroup$FeatureGroupStatus' => 'A FeatureGroup status.
The status of a FeatureGroup. The status can be any of the following: Creating, Created, CreateFail, Deleting or DetailFail.
A FeatureGroup status. Filters by FeatureGroup status.
A summary of feature groups.
', ], ], 'FeatureGroupSummary' => [ 'base' => 'The name, ARN, CreationTime, FeatureGroup values, LastUpdatedTime and EnableOnlineStorage status of a FeatureGroup.
The metadata for a feature. It can either be metadata that you specify, or metadata that is updated automatically.
', 'refs' => [ 'SearchRecord$FeatureMetadata' => 'The feature metadata used to search through the features.
', ], ], 'FeatureName' => [ 'base' => NULL, 'refs' => [ 'CreateFeatureGroupRequest$RecordIdentifierFeatureName' => 'The name of the Feature whose value uniquely identifies a Record defined in the FeatureStore. Only the latest record per identifier value will be stored in the OnlineStore. RecordIdentifierFeatureName must be one of feature definitions\' names.
You use the RecordIdentifierFeatureName to access data in a FeatureStore.
This name:
Must start with an alphanumeric character.
Can only contains alphanumeric characters, hyphens, underscores. Spaces are not allowed.
The name of the feature that stores the EventTime of a Record in a FeatureGroup.
An EventTime is a point in time when a new event occurs that corresponds to the creation or update of a Record in a FeatureGroup. All Records in the FeatureGroup must have a corresponding EventTime.
An EventTime can be a String or Fractional.
Fractional: EventTime feature values must be a Unix timestamp in seconds.
String: EventTime feature values must be an ISO-8601 string in the format. The following formats are supported yyyy-MM-dd\'T\'HH:mm:ssZ and yyyy-MM-dd\'T\'HH:mm:ss.SSSZ where yyyy, MM, and dd represent the year, month, and day respectively and HH, mm, ss, and if applicable, SSS represent the hour, month, second and milliseconds respsectively. \'T\' and Z are constants.
The name of the Feature used for RecordIdentifier, whose value uniquely identifies a record stored in the feature store.
The name of the feature that stores the EventTime of a Record in a FeatureGroup.
An EventTime is a point in time when a new event occurs that corresponds to the creation or update of a Record in a FeatureGroup. All Records in the FeatureGroup have a corresponding EventTime.
The name of the feature.
', 'DescribeFeatureMetadataResponse$FeatureName' => 'The name of the feature that you\'ve specified.
', 'FeatureDefinition$FeatureName' => 'The name of a feature. The type must be a string. FeatureName cannot be any of the following: is_deleted, write_time, api_invocation_time.
The name:
Must start with an alphanumeric character.
Can only include alphanumeric characters, underscores, and hyphens. Spaces are not allowed.
The name of the Feature whose value uniquely identifies a Record defined in the FeatureGroup FeatureDefinitions.
The name of the feature that stores the EventTime of a Record in a FeatureGroup.
A EventTime is point in time when a new event occurs that corresponds to the creation or update of a Record in FeatureGroup. All Records in the FeatureGroup must have a corresponding EventTime.
The name of feature.
', 'UpdateFeatureMetadataRequest$FeatureName' => 'The name of the feature that you\'re updating.
', ], ], 'FeatureParameter' => [ 'base' => 'A key-value pair that you specify to describe the feature.
', 'refs' => [ 'FeatureParameterAdditions$member' => NULL, 'FeatureParameters$member' => NULL, ], ], 'FeatureParameterAdditions' => [ 'base' => NULL, 'refs' => [ 'UpdateFeatureMetadataRequest$ParameterAdditions' => 'A list of key-value pairs that you can add to better describe the feature.
', ], ], 'FeatureParameterKey' => [ 'base' => NULL, 'refs' => [ 'FeatureParameter$Key' => 'A key that must contain a value to describe the feature.
', 'FeatureParameterRemovals$member' => NULL, ], ], 'FeatureParameterRemovals' => [ 'base' => NULL, 'refs' => [ 'UpdateFeatureMetadataRequest$ParameterRemovals' => 'A list of parameter keys that you can specify to remove parameters that describe your feature.
', ], ], 'FeatureParameterValue' => [ 'base' => NULL, 'refs' => [ 'FeatureParameter$Value' => 'The value that belongs to a key.
', ], ], 'FeatureParameters' => [ 'base' => NULL, 'refs' => [ 'DescribeFeatureMetadataResponse$Parameters' => 'The key-value pairs that you added to describe the feature.
', 'FeatureMetadata$Parameters' => 'Optional key-value pairs that you specify to better describe the feature.
', ], ], 'FeatureStatus' => [ 'base' => NULL, 'refs' => [ 'AmazonQSettings$Status' => 'Whether Amazon Q has been enabled within the domain.
', 'DirectDeploySettings$Status' => 'Describes whether model deployment permissions are enabled or disabled in the Canvas application.
', 'DockerSettings$EnableDockerAccess' => 'Indicates whether the domain can access Docker.
', 'EmrServerlessSettings$Status' => 'Describes whether Amazon EMR Serverless job capabilities are enabled or disabled in the SageMaker Canvas application.
', 'IdentityProviderOAuthSetting$Status' => 'Describes whether OAuth for a data source is enabled or disabled in the Canvas application.
', 'KendraSettings$Status' => 'Describes whether the document querying feature is enabled or disabled in the Canvas application.
', 'ModelRegisterSettings$Status' => 'Describes whether the integration to the model registry is enabled or disabled in the Canvas application.
', 'TimeSeriesForecastingSettings$Status' => 'Describes whether time series forecasting is enabled or disabled in the Canvas application.
', ], ], 'FeatureType' => [ 'base' => NULL, 'refs' => [ 'DescribeFeatureMetadataResponse$FeatureType' => 'The data type of the feature.
', 'FeatureDefinition$FeatureType' => 'The value type of a feature. Valid values are Integral, Fractional, or String.
', 'FeatureMetadata$FeatureType' => 'The data type of the feature.
', ], ], 'FileSource' => [ 'base' => 'Contains details regarding the file source.
', 'refs' => [ 'DriftCheckBias$ConfigFile' => 'The bias config file for a model.
', 'DriftCheckExplainability$ConfigFile' => 'The explainability config file for the model.
', ], ], 'FileSystemAccessMode' => [ 'base' => NULL, 'refs' => [ 'FileSystemDataSource$FileSystemAccessMode' => 'The access mode of the mount of the directory associated with the channel. A directory can be mounted either in ro (read-only) or rw (read-write) mode.
The Amazon Elastic File System storage configuration for a SageMaker AI image.
', 'refs' => [ 'CodeEditorAppImageConfig$FileSystemConfig' => NULL, 'JupyterLabAppImageConfig$FileSystemConfig' => NULL, 'KernelGatewayImageConfig$FileSystemConfig' => 'The Amazon Elastic File System storage configuration for a SageMaker AI image.
', ], ], 'FileSystemDataSource' => [ 'base' => 'Specifies a file system data source for a channel.
', 'refs' => [ 'DataSource$FileSystemDataSource' => 'The file system that is associated with a channel.
', ], ], 'FileSystemId' => [ 'base' => NULL, 'refs' => [ 'EFSFileSystem$FileSystemId' => 'The ID of your Amazon EFS file system.
', 'EFSFileSystemConfig$FileSystemId' => 'The ID of your Amazon EFS file system.
', 'FSxLustreFileSystem$FileSystemId' => 'Amazon FSx for Lustre file system ID.
', 'FSxLustreFileSystemConfig$FileSystemId' => 'The globally unique, 17-digit, ID of the file system, assigned by Amazon FSx for Lustre.
', 'FileSystemDataSource$FileSystemId' => 'The file system id.
', ], ], 'FileSystemPath' => [ 'base' => NULL, 'refs' => [ 'EFSFileSystemConfig$FileSystemPath' => 'The path to the file system directory that is accessible in Amazon SageMaker AI Studio. Permitted users can access only this directory and below.
', 'FSxLustreFileSystemConfig$FileSystemPath' => 'The path to the file system directory that is accessible in Amazon SageMaker Studio. Permitted users can access only this directory and below.
', ], ], 'FileSystemType' => [ 'base' => NULL, 'refs' => [ 'FileSystemDataSource$FileSystemType' => 'The file system type.
', ], ], 'FillingTransformationMap' => [ 'base' => NULL, 'refs' => [ 'FillingTransformations$value' => NULL, ], ], 'FillingTransformationValue' => [ 'base' => NULL, 'refs' => [ 'FillingTransformationMap$value' => NULL, ], ], 'FillingTransformations' => [ 'base' => NULL, 'refs' => [ 'TimeSeriesTransformations$Filling' => 'A key value pair defining the filling method for a column, where the key is the column name and the value is an object which defines the filling logic. You can specify multiple filling methods for a single column.
The supported filling methods and their corresponding options are:
frontfill: none (Supported only for target column)
middlefill: zero, value, median, mean, min, max
backfill: zero, value, median, mean, min, max
futurefill: zero, value, median, mean, min, max
To set a filling method to a specific value, set the fill parameter to the chosen filling method value (for example "backfill" : "value"), and define the filling value in an additional parameter prefixed with "_value". For example, to set backfill to a value of 2, you must include two parameters: "backfill": "value" and "backfill_value":"2".
A conditional statement for a search expression that includes a resource property, a Boolean operator, and a value. Resources that match the statement are returned in the results from the Search API.
If you specify a Value, but not an Operator, SageMaker uses the equals operator.
In search, there are several property types:
To define a metric filter, enter a value using the form "Metrics.<name>", where <name> is a metric name. For example, the following filter searches for training jobs with an "accuracy" metric greater than "0.9":
{
"Name": "Metrics.accuracy",
"Operator": "GreaterThan",
"Value": "0.9"
}
To define a hyperparameter filter, enter a value with the form "HyperParameters.<name>". Decimal hyperparameter values are treated as a decimal in a comparison if the specified Value is also a decimal value. If the specified Value is an integer, the decimal hyperparameter values are treated as integers. For example, the following filter is satisfied by training jobs with a "learning_rate" hyperparameter that is less than "0.5":
{
"Name": "HyperParameters.learning_rate",
"Operator": "LessThan",
"Value": "0.5"
}
To define a tag filter, enter a value with the form Tags.<key>.
A list of filters. Each filter acts on a property. Filters must contain at least one Filters value. For example, a NestedFilters call might include a filter on the PropertyName parameter of the InputDataConfig property: InputDataConfig.DataSource.S3DataSource.S3Uri.
A list of filter objects.
', ], ], 'FilterValue' => [ 'base' => NULL, 'refs' => [ 'Filter$Value' => 'A value used with Name and Operator to determine which resources satisfy the filter\'s condition. For numerical properties, Value must be an integer or floating-point decimal. For timestamp properties, Value must be an ISO 8601 date-time string of the following format: YYYY-mm-dd\'T\'HH:MM:SS.
The best candidate result from an AutoML training job.
', 'refs' => [ 'AutoMLCandidate$FinalAutoMLJobObjectiveMetric' => NULL, ], ], 'FinalHyperParameterTuningJobObjectiveMetric' => [ 'base' => 'Shows the latest objective metric emitted by a training job that was launched by a hyperparameter tuning job. You define the objective metric in the HyperParameterTuningJobObjective parameter of HyperParameterTuningJobConfig.
The FinalHyperParameterTuningJobObjectiveMetric object that specifies the value of the objective metric of the tuning job that launched this training job.
', ], ], 'FinalMetricDataList' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingJobResponse$FinalMetricDataList' => 'A collection of MetricData objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
A list of final metric values that are set when the training job completes. Used only if the training job was configured to use metrics.
', ], ], 'FlatInvocations' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobStoppingConditions$FlatInvocations' => 'Stops a load test when the number of invocations (TPS) peaks and flattens, which means that the instance has reached capacity. The default value is Stop. If you want the load test to continue after invocations have flattened, set the value to Continue.
The value of the metric.
', 'MetricDatum$Value' => 'The value of the metric.
', 'RecommendationMetrics$CostPerHour' => 'Defines the cost per hour for the instance.
', 'RecommendationMetrics$CostPerInference' => 'Defines the cost per inference for the instance .
', ], ], 'FlowDefinitionArn' => [ 'base' => NULL, 'refs' => [ 'CreateFlowDefinitionResponse$FlowDefinitionArn' => 'The Amazon Resource Name (ARN) of the flow definition you create.
', 'DescribeFlowDefinitionResponse$FlowDefinitionArn' => 'The Amazon Resource Name (ARN) of the flow defintion.
', 'FlowDefinitionSummary$FlowDefinitionArn' => 'The Amazon Resource Name (ARN) of the flow definition.
', ], ], 'FlowDefinitionName' => [ 'base' => NULL, 'refs' => [ 'CreateFlowDefinitionRequest$FlowDefinitionName' => 'The name of your flow definition.
', 'DeleteFlowDefinitionRequest$FlowDefinitionName' => 'The name of the flow definition you are deleting.
', 'DescribeFlowDefinitionRequest$FlowDefinitionName' => 'The name of the flow definition.
', 'DescribeFlowDefinitionResponse$FlowDefinitionName' => 'The Amazon Resource Name (ARN) of the flow definition.
', 'FlowDefinitionSummary$FlowDefinitionName' => 'The name of the flow definition.
', ], ], 'FlowDefinitionOutputConfig' => [ 'base' => 'Contains information about where human output will be stored.
', 'refs' => [ 'CreateFlowDefinitionRequest$OutputConfig' => 'An object containing information about where the human review results will be uploaded.
', 'DescribeFlowDefinitionResponse$OutputConfig' => 'An object containing information about the output file.
', ], ], 'FlowDefinitionStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeFlowDefinitionResponse$FlowDefinitionStatus' => 'The status of the flow definition. Valid values are listed below.
', 'FlowDefinitionSummary$FlowDefinitionStatus' => 'The status of the flow definition. Valid values:
', ], ], 'FlowDefinitionSummaries' => [ 'base' => NULL, 'refs' => [ 'ListFlowDefinitionsResponse$FlowDefinitionSummaries' => 'An array of objects describing the flow definitions.
', ], ], 'FlowDefinitionSummary' => [ 'base' => 'Contains summary information about the flow definition.
', 'refs' => [ 'FlowDefinitionSummaries$member' => NULL, ], ], 'FlowDefinitionTaskAvailabilityLifetimeInSeconds' => [ 'base' => NULL, 'refs' => [ 'HumanLoopConfig$TaskAvailabilityLifetimeInSeconds' => 'The length of time that a task remains available for review by human workers.
', ], ], 'FlowDefinitionTaskCount' => [ 'base' => NULL, 'refs' => [ 'HumanLoopConfig$TaskCount' => 'The number of distinct workers who will perform the same task on each object. For example, if TaskCount is set to 3 for an image classification labeling job, three workers will classify each input image. Increasing TaskCount can improve label accuracy.
A description for the human worker task.
', ], ], 'FlowDefinitionTaskKeyword' => [ 'base' => NULL, 'refs' => [ 'FlowDefinitionTaskKeywords$member' => NULL, ], ], 'FlowDefinitionTaskKeywords' => [ 'base' => NULL, 'refs' => [ 'HumanLoopConfig$TaskKeywords' => 'Keywords used to describe the task so that workers can discover the task.
', ], ], 'FlowDefinitionTaskTimeLimitInSeconds' => [ 'base' => NULL, 'refs' => [ 'HumanLoopConfig$TaskTimeLimitInSeconds' => 'The amount of time that a worker has to complete a task. The default value is 3,600 seconds (1 hour).
', ], ], 'FlowDefinitionTaskTitle' => [ 'base' => NULL, 'refs' => [ 'HumanLoopConfig$TaskTitle' => 'A title for the human worker task.
', ], ], 'ForecastFrequency' => [ 'base' => NULL, 'refs' => [ 'TimeSeriesForecastingJobConfig$ForecastFrequency' => 'The frequency of predictions in a forecast.
Valid intervals are an integer followed by Y (Year), M (Month), W (Week), D (Day), H (Hour), and min (Minute). For example, 1D indicates every day and 15min indicates every 15 minutes. The value of a frequency must not overlap with the next larger frequency. For example, you must use a frequency of 1H instead of 60min.
The valid values for each frequency are the following:
Minute - 1-59
Hour - 1-23
Day - 1-6
Week - 1-4
Month - 1-11
Year - 1
The number of time-steps that the model predicts. The forecast horizon is also called the prediction length. The maximum forecast horizon is the lesser of 500 time-steps or 1/4 of the time-steps in the dataset.
', ], ], 'ForecastQuantile' => [ 'base' => NULL, 'refs' => [ 'ForecastQuantiles$member' => NULL, ], ], 'ForecastQuantiles' => [ 'base' => NULL, 'refs' => [ 'TimeSeriesForecastingJobConfig$ForecastQuantiles' => 'The quantiles used to train the model for forecasts at a specified quantile. You can specify quantiles from 0.01 (p1) to 0.99 (p99), by increments of 0.01 or higher. Up to five forecast quantiles can be specified. When ForecastQuantiles is not provided, the AutoML job uses the quantiles p10, p50, and p90 as default.
Identifies the framework in which the model was trained. For example: TENSORFLOW.
', ], ], 'FrameworkVersion' => [ 'base' => NULL, 'refs' => [ 'InputConfig$FrameworkVersion' => 'Specifies the framework version to use. This API field is only supported for the MXNet, PyTorch, TensorFlow and TensorFlow Lite frameworks.
For information about framework versions supported for cloud targets and edge devices, see Cloud Supported Instance Types and Frameworks and Edge Supported Frameworks.
', ], ], 'GenerateCandidateDefinitionsOnly' => [ 'base' => NULL, 'refs' => [ 'CreateAutoMLJobRequest$GenerateCandidateDefinitionsOnly' => 'Generates possible candidates without training the models. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
', 'DescribeAutoMLJobResponse$GenerateCandidateDefinitionsOnly' => 'Indicates whether the output for an AutoML job generates candidate definitions only.
', 'TabularJobConfig$GenerateCandidateDefinitionsOnly' => 'Generates possible candidates without training the models. A model candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
', ], ], 'GenerativeAiSettings' => [ 'base' => 'The generative AI settings for the SageMaker Canvas application.
Configure these settings for Canvas users starting chats with generative AI foundation models. For more information, see Use generative AI with foundation models.
', 'refs' => [ 'CanvasAppSettings$GenerativeAiSettings' => 'The generative AI settings for the SageMaker Canvas application.
', ], ], 'GetDeviceFleetReportRequest' => [ 'base' => NULL, 'refs' => [], ], 'GetDeviceFleetReportResponse' => [ 'base' => NULL, 'refs' => [], ], 'GetLineageGroupPolicyRequest' => [ 'base' => NULL, 'refs' => [], ], 'GetLineageGroupPolicyResponse' => [ 'base' => NULL, 'refs' => [], ], 'GetModelPackageGroupPolicyInput' => [ 'base' => NULL, 'refs' => [], ], 'GetModelPackageGroupPolicyOutput' => [ 'base' => NULL, 'refs' => [], ], 'GetSagemakerServicecatalogPortfolioStatusInput' => [ 'base' => NULL, 'refs' => [], ], 'GetSagemakerServicecatalogPortfolioStatusOutput' => [ 'base' => NULL, 'refs' => [], ], 'GetScalingConfigurationRecommendationRequest' => [ 'base' => NULL, 'refs' => [], ], 'GetScalingConfigurationRecommendationResponse' => [ 'base' => NULL, 'refs' => [], ], 'GetSearchSuggestionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'GetSearchSuggestionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'Gid' => [ 'base' => NULL, 'refs' => [ 'CustomPosixUserConfig$Gid' => 'The POSIX group ID.
', ], ], 'GitConfig' => [ 'base' => 'Specifies configuration details for a Git repository in your Amazon Web Services account.
', 'refs' => [ 'CodeRepositorySummary$GitConfig' => 'Configuration details for the Git repository, including the URL where it is located and the ARN of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository.
', 'CreateCodeRepositoryInput$GitConfig' => 'Specifies details about the repository, including the URL where the repository is located, the default branch, and credentials to use to access the repository.
', 'DescribeCodeRepositoryOutput$GitConfig' => 'Configuration details about the repository, including the URL where the repository is located, the default branch, and the Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository.
', ], ], 'GitConfigForUpdate' => [ 'base' => 'Specifies configuration details for a Git repository when the repository is updated.
', 'refs' => [ 'UpdateCodeRepositoryInput$GitConfig' => 'The configuration of the git repository, including the URL and the Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository. The secret must have a staging label of AWSCURRENT and must be in the following format:
{"username": UserName, "password": Password}
The URL where the Git repository is located.
', ], ], 'Group' => [ 'base' => NULL, 'refs' => [ 'Groups$member' => NULL, ], ], 'GroupingAttributeName' => [ 'base' => NULL, 'refs' => [ 'GroupingAttributeNames$member' => NULL, ], ], 'GroupingAttributeNames' => [ 'base' => NULL, 'refs' => [ 'TimeSeriesConfig$GroupingAttributeNames' => 'A set of columns names that can be grouped with the item identifier column to create a composite key for which a target value is predicted.
', ], ], 'Groups' => [ 'base' => NULL, 'refs' => [ 'OidcMemberDefinition$Groups' => 'A list of comma seperated strings that identifies user groups in your OIDC IdP. Each user group is made up of a group of private workers.
', ], ], 'HiddenAppTypesList' => [ 'base' => NULL, 'refs' => [ 'StudioWebPortalSettings$HiddenAppTypes' => 'The Applications supported in Studio that are hidden from the Studio left navigation pane.
', ], ], 'HiddenInstanceTypesList' => [ 'base' => NULL, 'refs' => [ 'StudioWebPortalSettings$HiddenInstanceTypes' => 'The instance types you are hiding from the Studio user interface.
', ], ], 'HiddenMlToolsList' => [ 'base' => NULL, 'refs' => [ 'StudioWebPortalSettings$HiddenMlTools' => 'The machine learning tools that are hidden from the Studio left navigation pane.
', ], ], 'HiddenSageMakerImage' => [ 'base' => 'The SageMaker images that are hidden from the Studio user interface. You must specify the SageMaker image name and version aliases.
', 'refs' => [ 'HiddenSageMakerImageVersionAliasesList$member' => NULL, ], ], 'HiddenSageMakerImageVersionAliasesList' => [ 'base' => NULL, 'refs' => [ 'StudioWebPortalSettings$HiddenSageMakerImageVersionAliases' => 'The version aliases you are hiding from the Studio user interface.
', ], ], 'HolidayConfig' => [ 'base' => NULL, 'refs' => [ 'TimeSeriesForecastingJobConfig$HolidayConfig' => 'The collection of holiday featurization attributes used to incorporate national holiday information into your forecasting model.
', ], ], 'HolidayConfigAttributes' => [ 'base' => 'Stores the holiday featurization attributes applicable to each item of time-series datasets during the training of a forecasting model. This allows the model to identify patterns associated with specific holidays.
', 'refs' => [ 'HolidayConfig$member' => NULL, ], ], 'HookParameters' => [ 'base' => NULL, 'refs' => [ 'DebugHookConfig$HookParameters' => 'Configuration information for the Amazon SageMaker Debugger hook parameters.
', ], ], 'Horovod' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionRequest$Horovod' => 'Indicates Horovod compatibility.
', 'DescribeImageVersionResponse$Horovod' => 'Indicates Horovod compatibility.
', 'UpdateImageVersionRequest$Horovod' => 'Indicates Horovod compatibility.
', ], ], 'HubArn' => [ 'base' => NULL, 'refs' => [ 'CreateHubContentReferenceResponse$HubArn' => 'The ARN of the hub that the hub content reference was added to.
', 'CreateHubResponse$HubArn' => 'The Amazon Resource Name (ARN) of the hub.
', 'DescribeHubContentResponse$HubArn' => 'The Amazon Resource Name (ARN) of the hub that contains the content.
', 'DescribeHubResponse$HubArn' => 'The Amazon Resource Name (ARN) of the hub.
', 'HubInfo$HubArn' => 'The Amazon Resource Name (ARN) of the hub.
', 'ImportHubContentResponse$HubArn' => 'The ARN of the hub that the content was imported into.
', 'UpdateHubResponse$HubArn' => 'The Amazon Resource Name (ARN) of the updated hub.
', ], ], 'HubContentArn' => [ 'base' => NULL, 'refs' => [ 'CreateHubContentReferenceResponse$HubContentArn' => 'The ARN of the hub content.
', 'DescribeHubContentResponse$HubContentArn' => 'The Amazon Resource Name (ARN) of the hub content.
', 'HubContentInfo$HubContentArn' => 'The Amazon Resource Name (ARN) of the hub content.
', 'ImportHubContentResponse$HubContentArn' => 'The ARN of the hub content that was imported.
', 'InferenceHubAccessConfig$HubContentArn' => 'The ARN of the hub content for which deployment access is allowed.
', ], ], 'HubContentDependency' => [ 'base' => 'Any dependencies related to hub content, such as scripts, model artifacts, datasets, or notebooks.
', 'refs' => [ 'HubContentDependencyList$member' => NULL, ], ], 'HubContentDependencyList' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$HubContentDependencies' => 'The location of any dependencies that the hub content has, such as scripts, model artifacts, datasets, or notebooks.
', ], ], 'HubContentDescription' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$HubContentDescription' => 'A description of the hub content.
', 'HubContentInfo$HubContentDescription' => 'A description of the hub content.
', 'ImportHubContentRequest$HubContentDescription' => 'A description of the hub content to import.
', ], ], 'HubContentDisplayName' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$HubContentDisplayName' => 'The display name of the hub content.
', 'HubContentInfo$HubContentDisplayName' => 'The display name of the hub content.
', 'ImportHubContentRequest$HubContentDisplayName' => 'The display name of the hub content to import.
', ], ], 'HubContentDocument' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$HubContentDocument' => 'The hub content document that describes information about the hub content such as type, associated containers, scripts, and more.
', 'ImportHubContentRequest$HubContentDocument' => 'The hub content document that describes information about the hub content such as type, associated containers, scripts, and more.
', ], ], 'HubContentInfo' => [ 'base' => 'Information about hub content.
', 'refs' => [ 'HubContentInfoList$member' => NULL, ], ], 'HubContentInfoList' => [ 'base' => NULL, 'refs' => [ 'ListHubContentVersionsResponse$HubContentSummaries' => 'The summaries of the listed hub content versions.
', 'ListHubContentsResponse$HubContentSummaries' => 'The summaries of the listed hub content.
', ], ], 'HubContentMarkdown' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$HubContentMarkdown' => 'A string that provides a description of the hub content. This string can include links, tables, and standard markdown formating.
', 'ImportHubContentRequest$HubContentMarkdown' => 'A string that provides a description of the hub content. This string can include links, tables, and standard markdown formating.
', ], ], 'HubContentName' => [ 'base' => NULL, 'refs' => [ 'CreateHubContentReferenceRequest$HubContentName' => 'The name of the hub content to reference.
', 'DeleteHubContentReferenceRequest$HubContentName' => 'The name of the hub content to delete.
', 'DeleteHubContentRequest$HubContentName' => 'The name of the content that you want to delete from a hub.
', 'DescribeHubContentRequest$HubContentName' => 'The name of the content to describe.
', 'DescribeHubContentResponse$HubContentName' => 'The name of the hub content.
', 'HubContentInfo$HubContentName' => 'The name of the hub content.
', 'ImportHubContentRequest$HubContentName' => 'The name of the hub content to import.
', 'ListHubContentVersionsRequest$HubContentName' => 'The name of the hub content.
', ], ], 'HubContentSearchKeywordList' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$HubContentSearchKeywords' => 'The searchable keywords for the hub content.
', 'HubContentInfo$HubContentSearchKeywords' => 'The searchable keywords for the hub content.
', 'ImportHubContentRequest$HubContentSearchKeywords' => 'The searchable keywords of the hub content.
', ], ], 'HubContentSortBy' => [ 'base' => NULL, 'refs' => [ 'ListHubContentVersionsRequest$SortBy' => 'Sort hub content versions by either name or creation time.
', 'ListHubContentsRequest$SortBy' => 'Sort hub content versions by either name or creation time.
', ], ], 'HubContentStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$HubContentStatus' => 'The status of the hub content.
', 'HubContentInfo$HubContentStatus' => 'The status of the hub content.
', ], ], 'HubContentSupportStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$SupportStatus' => 'The support status of the hub content.
', 'HubContentInfo$SupportStatus' => 'The support status of the hub content.
', ], ], 'HubContentType' => [ 'base' => NULL, 'refs' => [ 'DeleteHubContentReferenceRequest$HubContentType' => 'The type of hub content reference to delete. The only supported type of hub content reference to delete is ModelReference.
The type of content that you want to delete from a hub.
', 'DescribeHubContentRequest$HubContentType' => 'The type of content in the hub.
', 'DescribeHubContentResponse$HubContentType' => 'The type of hub content.
', 'HubContentInfo$HubContentType' => 'The type of hub content.
', 'ImportHubContentRequest$HubContentType' => 'The type of hub content to import.
', 'ListHubContentVersionsRequest$HubContentType' => 'The type of hub content to list versions of.
', 'ListHubContentsRequest$HubContentType' => 'The type of hub content to list.
', ], ], 'HubContentVersion' => [ 'base' => NULL, 'refs' => [ 'CreateHubContentReferenceRequest$MinVersion' => 'The minimum version of the hub content to reference.
', 'DeleteHubContentRequest$HubContentVersion' => 'The version of the content that you want to delete from a hub.
', 'DescribeHubContentRequest$HubContentVersion' => 'The version of the content to describe.
', 'DescribeHubContentResponse$HubContentVersion' => 'The version of the hub content.
', 'HubContentInfo$HubContentVersion' => 'The version of the hub content.
', 'ImportHubContentRequest$HubContentVersion' => 'The version of the hub content to import.
', 'ListHubContentVersionsRequest$MinVersion' => 'The lower bound of the hub content versions to list.
', ], ], 'HubDescription' => [ 'base' => NULL, 'refs' => [ 'CreateHubRequest$HubDescription' => 'A description of the hub.
', 'DescribeHubResponse$HubDescription' => 'A description of the hub.
', 'HubInfo$HubDescription' => 'A description of the hub.
', 'UpdateHubRequest$HubDescription' => 'A description of the updated hub.
', ], ], 'HubDisplayName' => [ 'base' => NULL, 'refs' => [ 'CreateHubRequest$HubDisplayName' => 'The display name of the hub.
', 'DescribeHubResponse$HubDisplayName' => 'The display name of the hub.
', 'HubInfo$HubDisplayName' => 'The display name of the hub.
', 'UpdateHubRequest$HubDisplayName' => 'The display name of the hub.
', ], ], 'HubInfo' => [ 'base' => 'Information about a hub.
', 'refs' => [ 'HubInfoList$member' => NULL, ], ], 'HubInfoList' => [ 'base' => NULL, 'refs' => [ 'ListHubsResponse$HubSummaries' => 'The summaries of the listed hubs.
', ], ], 'HubName' => [ 'base' => NULL, 'refs' => [ 'CreateHubRequest$HubName' => 'The name of the hub to create.
', 'DescribeHubContentResponse$HubName' => 'The name of the hub that contains the content.
', 'DescribeHubResponse$HubName' => 'The name of the hub.
', 'HubInfo$HubName' => 'The name of the hub.
', ], ], 'HubNameOrArn' => [ 'base' => NULL, 'refs' => [ 'CreateHubContentReferenceRequest$HubName' => 'The name of the hub to add the hub content reference to.
', 'DeleteHubContentReferenceRequest$HubName' => 'The name of the hub to delete the hub content reference from.
', 'DeleteHubContentRequest$HubName' => 'The name of the hub that you want to delete content in.
', 'DeleteHubRequest$HubName' => 'The name of the hub to delete.
', 'DescribeHubContentRequest$HubName' => 'The name of the hub that contains the content to describe.
', 'DescribeHubRequest$HubName' => 'The name of the hub to describe.
', 'ImportHubContentRequest$HubName' => 'The name of the hub to import content into.
', 'ListHubContentVersionsRequest$HubName' => 'The name of the hub to list the content versions of.
', 'ListHubContentsRequest$HubName' => 'The name of the hub to list the contents of.
', 'UpdateHubRequest$HubName' => 'The name of the hub to update.
', ], ], 'HubS3StorageConfig' => [ 'base' => 'The Amazon S3 storage configuration of a hub.
', 'refs' => [ 'CreateHubRequest$S3StorageConfig' => 'The Amazon S3 storage configuration for the hub.
', 'DescribeHubResponse$S3StorageConfig' => 'The Amazon S3 storage configuration for the hub.
', ], ], 'HubSearchKeyword' => [ 'base' => NULL, 'refs' => [ 'HubContentSearchKeywordList$member' => NULL, 'HubSearchKeywordList$member' => NULL, ], ], 'HubSearchKeywordList' => [ 'base' => NULL, 'refs' => [ 'CreateHubRequest$HubSearchKeywords' => 'The searchable keywords for the hub.
', 'DescribeHubResponse$HubSearchKeywords' => 'The searchable keywords for the hub.
', 'HubInfo$HubSearchKeywords' => 'The searchable keywords for the hub.
', 'UpdateHubRequest$HubSearchKeywords' => 'The searchable keywords for the hub.
', ], ], 'HubSortBy' => [ 'base' => NULL, 'refs' => [ 'ListHubsRequest$SortBy' => 'Sort hubs by either name or creation time.
', ], ], 'HubStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeHubResponse$HubStatus' => 'The status of the hub.
', 'HubInfo$HubStatus' => 'The status of the hub.
', ], ], 'HumanLoopActivationConditions' => [ 'base' => NULL, 'refs' => [ 'HumanLoopActivationConditionsConfig$HumanLoopActivationConditions' => 'JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract. For more information about how to structure the JSON, see JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI in the Amazon SageMaker Developer Guide.
', ], ], 'HumanLoopActivationConditionsConfig' => [ 'base' => 'Defines under what conditions SageMaker creates a human loop. Used within CreateFlowDefinition. See HumanLoopActivationConditionsConfig for the required format of activation conditions.
', 'refs' => [ 'HumanLoopActivationConfig$HumanLoopActivationConditionsConfig' => 'Container structure for defining under what conditions SageMaker creates a human loop.
', ], ], 'HumanLoopActivationConfig' => [ 'base' => 'Provides information about how and under what conditions SageMaker creates a human loop. If HumanLoopActivationConfig is not given, then all requests go to humans.
An object containing information about the events that trigger a human workflow.
', 'DescribeFlowDefinitionResponse$HumanLoopActivationConfig' => 'An object containing information about what triggers a human review workflow.
', ], ], 'HumanLoopConfig' => [ 'base' => 'Describes the work to be performed by human workers.
', 'refs' => [ 'CreateFlowDefinitionRequest$HumanLoopConfig' => 'An object containing information about the tasks the human reviewers will perform.
', 'DescribeFlowDefinitionResponse$HumanLoopConfig' => 'An object containing information about who works on the task, the workforce task price, and other task details.
', ], ], 'HumanLoopRequestSource' => [ 'base' => 'Container for configuring the source of human task requests.
', 'refs' => [ 'CreateFlowDefinitionRequest$HumanLoopRequestSource' => 'Container for configuring the source of human task requests. Use to specify if Amazon Rekognition or Amazon Textract is used as an integration source.
', 'DescribeFlowDefinitionResponse$HumanLoopRequestSource' => 'Container for configuring the source of human task requests. Used to specify if Amazon Rekognition or Amazon Textract is used as an integration source.
', ], ], 'HumanTaskConfig' => [ 'base' => 'Information required for human workers to complete a labeling task.
', 'refs' => [ 'CreateLabelingJobRequest$HumanTaskConfig' => 'Configures the labeling task and how it is presented to workers; including, but not limited to price, keywords, and batch size (task count).
', 'DescribeLabelingJobResponse$HumanTaskConfig' => 'Configuration information required for human workers to complete a labeling task.
', ], ], 'HumanTaskUiArn' => [ 'base' => NULL, 'refs' => [ 'CreateHumanTaskUiResponse$HumanTaskUiArn' => 'The Amazon Resource Name (ARN) of the human review workflow user interface you create.
', 'DescribeHumanTaskUiResponse$HumanTaskUiArn' => 'The Amazon Resource Name (ARN) of the human task user interface (worker task template).
', 'HumanLoopConfig$HumanTaskUiArn' => 'The Amazon Resource Name (ARN) of the human task user interface.
You can use standard HTML and Crowd HTML Elements to create a custom worker task template. You use this template to create a human task UI.
To learn how to create a custom HTML template, see Create Custom Worker Task Template.
To learn how to create a human task UI, which is a worker task template that can be used in a flow definition, see Create and Delete a Worker Task Templates.
', 'HumanTaskUiSummary$HumanTaskUiArn' => 'The Amazon Resource Name (ARN) of the human task user interface.
', 'RenderUiTemplateRequest$HumanTaskUiArn' => 'The HumanTaskUiArn of the worker UI that you want to render. Do not provide a HumanTaskUiArn if you use the UiTemplate parameter.
See a list of available Human Ui Amazon Resource Names (ARNs) in UiConfig.
', 'UiConfig$HumanTaskUiArn' => 'The ARN of the worker task template used to render the worker UI and tools for labeling job tasks.
Use this parameter when you are creating a labeling job for named entity recognition, 3D point cloud and video frame labeling jobs. Use your labeling job task type to select one of the following ARNs and use it with this parameter when you create a labeling job. Replace aws-region with the Amazon Web Services Region you are creating your labeling job in. For example, replace aws-region with us-west-1 if you create a labeling job in US West (N. California).
Named Entity Recognition
Use the following HumanTaskUiArn for named entity recognition labeling jobs:
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/NamedEntityRecognition
3D Point Cloud HumanTaskUiArns
Use this HumanTaskUiArn for 3D point cloud object detection and 3D point cloud object detection adjustment labeling jobs.
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectDetection
Use this HumanTaskUiArn for 3D point cloud object tracking and 3D point cloud object tracking adjustment labeling jobs.
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectTracking
Use this HumanTaskUiArn for 3D point cloud semantic segmentation and 3D point cloud semantic segmentation adjustment labeling jobs.
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudSemanticSegmentation
Video Frame HumanTaskUiArns
Use this HumanTaskUiArn for video frame object detection and video frame object detection adjustment labeling jobs.
arn:aws:sagemaker:region:394669845002:human-task-ui/VideoObjectDetection
Use this HumanTaskUiArn for video frame object tracking and video frame object tracking adjustment labeling jobs.
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/VideoObjectTracking
The name of the user interface you are creating.
', 'DeleteHumanTaskUiRequest$HumanTaskUiName' => 'The name of the human task user interface (work task template) you want to delete.
', 'DescribeHumanTaskUiRequest$HumanTaskUiName' => 'The name of the human task user interface (worker task template) you want information about.
', 'DescribeHumanTaskUiResponse$HumanTaskUiName' => 'The name of the human task user interface (worker task template).
', 'HumanTaskUiSummary$HumanTaskUiName' => 'The name of the human task user interface.
', ], ], 'HumanTaskUiStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeHumanTaskUiResponse$HumanTaskUiStatus' => 'The status of the human task user interface (worker task template). Valid values are listed below.
', ], ], 'HumanTaskUiSummaries' => [ 'base' => NULL, 'refs' => [ 'ListHumanTaskUisResponse$HumanTaskUiSummaries' => 'An array of objects describing the human task user interfaces.
', ], ], 'HumanTaskUiSummary' => [ 'base' => 'Container for human task user interface information.
', 'refs' => [ 'HumanTaskUiSummaries$member' => NULL, ], ], 'HyperParameterAlgorithmSpecification' => [ 'base' => 'Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics to monitor.
', 'refs' => [ 'HyperParameterTrainingJobDefinition$AlgorithmSpecification' => 'The HyperParameterAlgorithmSpecification object that specifies the resource algorithm to use for the training jobs that the tuning job launches.
', ], ], 'HyperParameterKey' => [ 'base' => NULL, 'refs' => [ 'HyperParameters$key' => NULL, ], ], 'HyperParameterScalingType' => [ 'base' => NULL, 'refs' => [ 'ContinuousParameterRange$ScalingType' => 'The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have only values greater than 0.
Hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
Reverse logarithmic scaling works only for ranges that are entirely within the range 0<=x<1.0.
The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have only values greater than 0.
Defines a hyperparameter to be used by an algorithm.
', 'refs' => [ 'HyperParameterSpecifications$member' => NULL, ], ], 'HyperParameterSpecifications' => [ 'base' => NULL, 'refs' => [ 'TrainingSpecification$SupportedHyperParameters' => 'A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>
Defines the training jobs launched by a hyperparameter tuning job.
', 'refs' => [ 'CreateHyperParameterTuningJobRequest$TrainingJobDefinition' => 'The HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job launches, including static hyperparameters, input data configuration, output data configuration, resource configuration, and stopping condition.
', 'DescribeHyperParameterTuningJobResponse$TrainingJobDefinition' => 'The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.
', 'HyperParameterTrainingJobDefinitions$member' => NULL, 'HyperParameterTuningJobSearchEntity$TrainingJobDefinition' => NULL, ], ], 'HyperParameterTrainingJobDefinitionName' => [ 'base' => NULL, 'refs' => [ 'HyperParameterTrainingJobDefinition$DefinitionName' => 'The job definition name.
', 'HyperParameterTrainingJobSummary$TrainingJobDefinitionName' => 'The training job definition name.
', ], ], 'HyperParameterTrainingJobDefinitions' => [ 'base' => NULL, 'refs' => [ 'CreateHyperParameterTuningJobRequest$TrainingJobDefinitions' => 'A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
', 'DescribeHyperParameterTuningJobResponse$TrainingJobDefinitions' => 'A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
', 'HyperParameterTuningJobSearchEntity$TrainingJobDefinitions' => 'The job definitions included in a hyperparameter tuning job.
', ], ], 'HyperParameterTrainingJobEnvironmentKey' => [ 'base' => NULL, 'refs' => [ 'HyperParameterTrainingJobEnvironmentMap$key' => NULL, ], ], 'HyperParameterTrainingJobEnvironmentMap' => [ 'base' => NULL, 'refs' => [ 'HyperParameterTrainingJobDefinition$Environment' => 'An environment variable that you can pass into the SageMaker CreateTrainingJob API. You can use an existing environment variable from the training container or use your own. See Define metrics and variables for more information.
The maximum number of items specified for Map Entries refers to the maximum number of environment variables for each TrainingJobDefinition and also the maximum for the hyperparameter tuning job itself. That is, the sum of the number of environment variables for all the training job definitions can\'t exceed the maximum number specified.
A list of TrainingJobSummary objects that describe the training jobs that the ListTrainingJobsForHyperParameterTuningJob request returned.
The container for the summary information about a training job.
', 'refs' => [ 'DescribeHyperParameterTuningJobResponse$BestTrainingJob' => 'A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
', 'DescribeHyperParameterTuningJobResponse$OverallBestTrainingJob' => 'If the hyperparameter tuning job is an warm start tuning job with a WarmStartType of IDENTICAL_DATA_AND_ALGORITHM, this is the TrainingJobSummary for the training job with the best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for the warm start tuning job.
The strategy that determines the order of preference for resources specified in InstanceConfigs used in hyperparameter optimization.
The configuration for hyperparameter tuning resources for use in training jobs launched by the tuning job. These resources include compute instances and storage volumes. Specify one or more compute instance configurations and allocation strategies to select resources (optional).
', 'refs' => [ 'HyperParameterTuningInstanceConfigs$member' => NULL, ], ], 'HyperParameterTuningInstanceConfigs' => [ 'base' => NULL, 'refs' => [ 'HyperParameterTuningResourceConfig$InstanceConfigs' => 'A list containing the configuration(s) for one or more resources for processing hyperparameter jobs. These resources include compute instances and storage volumes to use in model training jobs launched by hyperparameter tuning jobs. The AllocationStrategy controls the order in which multiple configurations provided in InstanceConfigs are used.
If you only want to use a single instance configuration inside the HyperParameterTuningResourceConfig API, do not provide a value for InstanceConfigs. Instead, use InstanceType, VolumeSizeInGB and InstanceCount. If you use InstanceConfigs, do not provide values for InstanceType, VolumeSizeInGB or InstanceCount.
The Amazon Resource Name (ARN) of the tuning job. SageMaker assigns an ARN to a hyperparameter tuning job when you create it.
', 'DescribeHyperParameterTuningJobResponse$HyperParameterTuningJobArn' => 'The Amazon Resource Name (ARN) of the tuning job.
', 'DescribeTrainingJobResponse$TuningJobArn' => 'The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
', 'HyperParameterTuningJobSearchEntity$HyperParameterTuningJobArn' => 'The Amazon Resource Name (ARN) of a hyperparameter tuning job.
', 'HyperParameterTuningJobSummary$HyperParameterTuningJobArn' => 'The Amazon Resource Name (ARN) of the tuning job.
', 'TrainingJob$TuningJobArn' => 'The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
', 'TuningJobStepMetaData$Arn' => 'The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.
', ], ], 'HyperParameterTuningJobCompletionDetails' => [ 'base' => 'A structure that contains runtime information about both current and completed hyperparameter tuning jobs.
', 'refs' => [ 'DescribeHyperParameterTuningJobResponse$TuningJobCompletionDetails' => 'Tuning job completion information returned as the response from a hyperparameter tuning job. This information tells if your tuning job has or has not converged. It also includes the number of training jobs that have not improved model performance as evaluated against the objective function.
', 'HyperParameterTuningJobSearchEntity$TuningJobCompletionDetails' => 'Information about either a current or completed hyperparameter tuning job.
', ], ], 'HyperParameterTuningJobConfig' => [ 'base' => 'Configures a hyperparameter tuning job.
', 'refs' => [ 'CreateHyperParameterTuningJobRequest$HyperParameterTuningJobConfig' => 'The HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the tuning job. For more information, see How Hyperparameter Tuning Works.
', 'DescribeHyperParameterTuningJobResponse$HyperParameterTuningJobConfig' => 'The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
', 'HyperParameterTuningJobSearchEntity$HyperParameterTuningJobConfig' => NULL, ], ], 'HyperParameterTuningJobConsumedResources' => [ 'base' => 'The total resources consumed by your hyperparameter tuning job.
', 'refs' => [ 'DescribeHyperParameterTuningJobResponse$ConsumedResources' => NULL, 'HyperParameterTuningJobSearchEntity$ConsumedResources' => 'The total amount of resources consumed by a hyperparameter tuning job.
', ], ], 'HyperParameterTuningJobName' => [ 'base' => NULL, 'refs' => [ 'CreateHyperParameterTuningJobRequest$HyperParameterTuningJobName' => 'The name of the tuning job. This name is the prefix for the names of all training jobs that this tuning job launches. The name must be unique within the same Amazon Web Services account and Amazon Web Services Region. The name must have 1 to 32 characters. Valid characters are a-z, A-Z, 0-9, and : + = @ _ % - (hyphen). The name is not case sensitive.
', 'DeleteHyperParameterTuningJobRequest$HyperParameterTuningJobName' => 'The name of the hyperparameter tuning job that you want to delete.
', 'DescribeHyperParameterTuningJobRequest$HyperParameterTuningJobName' => 'The name of the tuning job.
', 'DescribeHyperParameterTuningJobResponse$HyperParameterTuningJobName' => 'The name of the hyperparameter tuning job.
', 'HyperParameterTrainingJobSummary$TuningJobName' => 'The HyperParameter tuning job that launched the training job.
', 'HyperParameterTuningJobSearchEntity$HyperParameterTuningJobName' => 'The name of a hyperparameter tuning job.
', 'HyperParameterTuningJobSummary$HyperParameterTuningJobName' => 'The name of the tuning job.
', 'ListTrainingJobsForHyperParameterTuningJobRequest$HyperParameterTuningJobName' => 'The name of the tuning job whose training jobs you want to list.
', 'ParentHyperParameterTuningJob$HyperParameterTuningJobName' => 'The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
', 'StopHyperParameterTuningJobRequest$HyperParameterTuningJobName' => 'The name of the tuning job to stop.
', ], ], 'HyperParameterTuningJobObjective' => [ 'base' => 'Defines the objective metric for a hyperparameter tuning job. Hyperparameter tuning uses the value of this metric to evaluate the training jobs it launches, and returns the training job that results in either the highest or lowest value for this metric, depending on the value you specify for the Type parameter. If you want to define a custom objective metric, see Define metrics and environment variables.
The HyperParameterTuningJobObjective specifies the objective metric used to evaluate the performance of training jobs launched by this tuning job.
', 'HyperParameterTuningJobObjectives$member' => NULL, ], ], 'HyperParameterTuningJobObjectiveType' => [ 'base' => NULL, 'refs' => [ 'FinalHyperParameterTuningJobObjectiveMetric$Type' => 'Select if you want to minimize or maximize the objective metric during hyperparameter tuning.
', 'HyperParameterTuningJobObjective$Type' => 'Whether to minimize or maximize the objective metric.
', ], ], 'HyperParameterTuningJobObjectives' => [ 'base' => NULL, 'refs' => [ 'TrainingSpecification$SupportedTuningJobObjectiveMetrics' => 'A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.
', ], ], 'HyperParameterTuningJobSearchEntity' => [ 'base' => 'An entity returned by the SearchRecord API containing the properties of a hyperparameter tuning job.
', 'refs' => [ 'SearchRecord$HyperParameterTuningJob' => 'The properties of a hyperparameter tuning job.
', ], ], 'HyperParameterTuningJobSortByOptions' => [ 'base' => NULL, 'refs' => [ 'ListHyperParameterTuningJobsRequest$SortBy' => 'The field to sort results by. The default is Name.
The status of the tuning job.
', 'HyperParameterTuningJobSearchEntity$HyperParameterTuningJobStatus' => 'The status of a hyperparameter tuning job.
', 'HyperParameterTuningJobSummary$HyperParameterTuningJobStatus' => 'The status of the tuning job.
', 'ListHyperParameterTuningJobsRequest$StatusEquals' => 'A filter that returns only tuning jobs with the specified status.
', ], ], 'HyperParameterTuningJobStrategyConfig' => [ 'base' => 'The configuration for a training job launched by a hyperparameter tuning job. Choose Bayesian for Bayesian optimization, and Random for random search optimization. For more advanced use cases, use Hyperband, which evaluates objective metrics for training jobs after every epoch. For more information about strategies, see How Hyperparameter Tuning Works.
The configuration for the Hyperband optimization strategy. This parameter should be provided only if Hyperband is selected as the strategy for HyperParameterTuningJobConfig.
The strategy hyperparameter tuning uses to find the best combination of hyperparameters for your model.
', 'refs' => [ 'HyperParameterTuningJobConfig$Strategy' => 'Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches. For information about search strategies, see How Hyperparameter Tuning Works.
', 'HyperParameterTuningJobSummary$Strategy' => 'Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to evaluate at each iteration.
', ], ], 'HyperParameterTuningJobSummaries' => [ 'base' => NULL, 'refs' => [ 'ListHyperParameterTuningJobsResponse$HyperParameterTuningJobSummaries' => 'A list of HyperParameterTuningJobSummary objects that describe the tuning jobs that the ListHyperParameterTuningJobs request returned.
Provides summary information about a hyperparameter tuning job.
', 'refs' => [ 'HyperParameterTuningJobSummaries$member' => NULL, ], ], 'HyperParameterTuningJobWarmStartConfig' => [ 'base' => 'Specifies the configuration for a hyperparameter tuning job that uses one or more previous hyperparameter tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric, and the training job that performs the best is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.
All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.
Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric. If you specify IDENTICAL_DATA_AND_ALGORITHM as the WarmStartType value for the warm start configuration, the training job that performs the best in the new tuning job is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.
All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.
The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
', 'HyperParameterTuningJobSearchEntity$WarmStartConfig' => NULL, ], ], 'HyperParameterTuningJobWarmStartType' => [ 'base' => NULL, 'refs' => [ 'HyperParameterTuningJobWarmStartConfig$WarmStartType' => 'Specifies one of the following:
The new hyperparameter tuning job uses the same input data and training image as the parent tuning jobs. You can change the hyperparameter ranges to search and the maximum number of training jobs that the hyperparameter tuning job launches. You cannot use a new version of the training algorithm, unless the changes in the new version do not affect the algorithm itself. For example, changes that improve logging or adding support for a different data format are allowed. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.
The new hyperparameter tuning job can include input data, hyperparameter ranges, maximum number of concurrent training jobs, and maximum number of training jobs that are different than those of its parent hyperparameter tuning jobs. The training image can also be a different version from the version used in the parent hyperparameter tuning job. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.
The maximum time in seconds that a hyperparameter tuning job can run.
', ], ], 'HyperParameterTuningResourceConfig' => [ 'base' => 'The configuration of resources, including compute instances and storage volumes for use in training jobs launched by hyperparameter tuning jobs. HyperParameterTuningResourceConfig is similar to ResourceConfig, but has the additional InstanceConfigs and AllocationStrategy fields to allow for flexible instance management. Specify one or more instance types, count, and the allocation strategy for instance selection.
HyperParameterTuningResourceConfig supports the capabilities of ResourceConfig with the exception of KeepAlivePeriodInSeconds. Hyperparameter tuning jobs use warm pools by default, which reuse clusters between training jobs.
The configuration for the hyperparameter tuning resources, including the compute instances and storage volumes, used for training jobs launched by the tuning job. By default, storage volumes hold model artifacts and incremental states. Choose File for TrainingInputMode in the AlgorithmSpecification parameter to additionally store training data in the storage volume (optional).
The default value for this hyperparameter. If a default value is specified, a hyperparameter cannot be required.
', 'HyperParameters$value' => NULL, ], ], 'HyperParameters' => [ 'base' => NULL, 'refs' => [ 'CreateTrainingJobRequest$HyperParameters' => 'Algorithm-specific parameters that influence the quality of the model. You set hyperparameters before you start the learning process. For a list of hyperparameters for each training algorithm provided by SageMaker, see Algorithms.
You can specify a maximum of 100 hyperparameters. Each hyperparameter is a key-value pair. Each key and value is limited to 256 characters, as specified by the Length Constraint.
Do not include any security-sensitive information including account access IDs, secrets or tokens in any hyperparameter field. If the use of security-sensitive credentials are detected, SageMaker will reject your training job request and return an exception error.
Algorithm-specific parameters.
', 'HyperParameterTrainingJobDefinition$StaticHyperParameters' => 'Specifies the values of hyperparameters that do not change for the tuning job.
', 'HyperParameterTrainingJobSummary$TunedHyperParameters' => 'A list of the hyperparameters for which you specified ranges to search.
', 'TrainingJob$HyperParameters' => 'Algorithm-specific parameters.
', 'TrainingJobDefinition$HyperParameters' => 'The hyperparameters used for the training job.
', ], ], 'HyperbandStrategyConfig' => [ 'base' => 'The configuration for Hyperband, a multi-fidelity based hyperparameter tuning strategy. Hyperband uses the final and intermediate results of a training job to dynamically allocate resources to utilized hyperparameter configurations while automatically stopping under-performing configurations. This parameter should be provided only if Hyperband is selected as the StrategyConfig under the HyperParameterTuningJobConfig API.
The configuration for the object that specifies the Hyperband strategy. This parameter is only supported for the Hyperband selection for Strategy within the HyperParameterTuningJobConfig API.
The maximum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job. Once a job reaches the MaxResource value, it is stopped. If a value for MaxResource is not provided, and Hyperband is selected as the hyperparameter tuning strategy, HyperbandTraining attempts to infer MaxResource from the following keys (if present) in StaticsHyperParameters:
epochs
numepochs
n-epochs
n_epochs
num_epochs
If HyperbandStrategyConfig is unable to infer a value for MaxResource, it generates a validation error. The maximum value is 20,000 epochs. All metrics that correspond to an objective metric are used to derive early stopping decisions. For distributed training jobs, ensure that duplicate metrics are not printed in the logs across the individual nodes in a training job. If multiple nodes are publishing duplicate or incorrect metrics, training jobs may make an incorrect stopping decision and stop the job prematurely.
The minimum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job. If the value for MinResource has not been reached, the training job is not stopped by Hyperband.
The IAM Identity details associated with the user. These details are associated with model package groups, model packages and project entities only.
', 'refs' => [ 'UserContext$IamIdentity' => 'The IAM Identity details associated with the user. These details are associated with model package groups, model packages, and project entities only.
', ], ], 'IamPolicyConstraints' => [ 'base' => 'Use this parameter to specify a supported global condition key that is added to the IAM policy.
', 'refs' => [ 'S3Presign$IamPolicyConstraints' => 'Use this parameter to specify the allowed request source. Possible sources are either SourceIp or VpcSourceIp.
A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than one time.
', 'DeletePipelineRequest$ClientRequestToken' => 'A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than one time.
', 'RetryPipelineExecutionRequest$ClientRequestToken' => 'A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than once.
', 'SendPipelineExecutionStepFailureRequest$ClientRequestToken' => 'A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than one time.
', 'SendPipelineExecutionStepSuccessRequest$ClientRequestToken' => 'A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than one time.
', 'StartPipelineExecutionRequest$ClientRequestToken' => 'A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than once.
', 'StopPipelineExecutionRequest$ClientRequestToken' => 'A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than once.
', ], ], 'IdentityProviderOAuthSetting' => [ 'base' => 'The Amazon SageMaker Canvas application setting where you configure OAuth for connecting to an external data source, such as Snowflake.
', 'refs' => [ 'IdentityProviderOAuthSettings$member' => NULL, ], ], 'IdentityProviderOAuthSettings' => [ 'base' => NULL, 'refs' => [ 'CanvasAppSettings$IdentityProviderOAuthSettings' => 'The settings for connecting to an external data source with OAuth.
', ], ], 'IdleSettings' => [ 'base' => 'Settings related to idle shutdown of Studio applications.
', 'refs' => [ 'AppLifecycleManagement$IdleSettings' => 'Settings related to idle shutdown of Studio applications.
', ], ], 'IdleTimeoutInMinutes' => [ 'base' => NULL, 'refs' => [ 'IdleSettings$IdleTimeoutInMinutes' => 'The time that SageMaker waits after the application becomes idle before shutting it down.
', 'IdleSettings$MinIdleTimeoutInMinutes' => 'The minimum value in minutes that custom idle shutdown can be set to by the user.
', 'IdleSettings$MaxIdleTimeoutInMinutes' => 'The maximum value in minutes that custom idle shutdown can be set to by the user.
', 'SpaceIdleSettings$IdleTimeoutInMinutes' => 'The time that SageMaker waits after the application becomes idle before shutting it down.
', ], ], 'Image' => [ 'base' => 'A SageMaker AI image. A SageMaker AI image represents a set of container images that are derived from a common base container image. Each of these container images is represented by a SageMaker AI ImageVersion.
The ARN of the image.
', 'DescribeImageResponse$ImageArn' => 'The ARN of the image.
', 'DescribeImageVersionResponse$ImageArn' => 'The ARN of the image the version is based on.
', 'Image$ImageArn' => 'The ARN of the image.
', 'ImageVersion$ImageArn' => 'The ARN of the image the version is based on.
', 'ResourceSpec$SageMakerImageArn' => 'The ARN of the SageMaker AI image that the image version belongs to.
', 'UpdateImageResponse$ImageArn' => 'The ARN of the image.
', ], ], 'ImageBaseImage' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionRequest$BaseImage' => 'The registry path of the container image to use as the starting point for this version. The path is an Amazon ECR URI in the following format:
<acct-id>.dkr.ecr.<region>.amazonaws.com/<repo-name[:tag] or [@digest]>
The registry path of the container image on which this image version is based.
', ], ], 'ImageClassificationJobConfig' => [ 'base' => 'The collection of settings used by an AutoML job V2 for the image classification problem type.
', 'refs' => [ 'AutoMLProblemTypeConfig$ImageClassificationJobConfig' => 'Settings used to configure an AutoML job V2 for the image classification problem type.
', ], ], 'ImageConfig' => [ 'base' => 'Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC).
', 'refs' => [ 'ContainerDefinition$ImageConfig' => 'Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For information about storing containers in a private Docker registry, see Use a Private Docker Registry for Real-Time Inference Containers.
The model artifacts in an Amazon S3 bucket and the Docker image for inference container in Amazon EC2 Container Registry must be in the same region as the model or endpoint you are creating.
The registry path of the container image that contains this image version.
', ], ], 'ImageDeleteProperty' => [ 'base' => NULL, 'refs' => [ 'ImageDeletePropertyList$member' => NULL, ], ], 'ImageDeletePropertyList' => [ 'base' => NULL, 'refs' => [ 'UpdateImageRequest$DeleteProperties' => 'A list of properties to delete. Only the Description and DisplayName properties can be deleted.
The description of the image.
', 'DescribeImageResponse$Description' => 'The description of the image.
', 'Image$Description' => 'The description of the image.
', 'UpdateImageRequest$Description' => 'The new description for the image.
', ], ], 'ImageDigest' => [ 'base' => NULL, 'refs' => [ 'ModelPackageContainerDefinition$ImageDigest' => 'An MD5 hash of the training algorithm that identifies the Docker image used for training.
', 'TrainingSpecification$TrainingImageDigest' => 'An MD5 hash of the training algorithm that identifies the Docker image used for training.
', ], ], 'ImageDisplayName' => [ 'base' => NULL, 'refs' => [ 'CreateImageRequest$DisplayName' => 'The display name of the image. If not provided, ImageName is displayed.
The name of the image as displayed.
', 'Image$DisplayName' => 'The name of the image as displayed.
', 'UpdateImageRequest$DisplayName' => 'The new display name for the image.
', ], ], 'ImageName' => [ 'base' => NULL, 'refs' => [ 'CreateImageRequest$ImageName' => 'The name of the image. Must be unique to your account.
', 'CreateImageVersionRequest$ImageName' => 'The ImageName of the Image to create a version of.
The name of the CustomImage. Must be unique to your account.
', 'DeleteImageRequest$ImageName' => 'The name of the image to delete.
', 'DeleteImageVersionRequest$ImageName' => 'The name of the image to delete.
', 'DescribeImageRequest$ImageName' => 'The name of the image to describe.
', 'DescribeImageResponse$ImageName' => 'The name of the image.
', 'DescribeImageVersionRequest$ImageName' => 'The name of the image.
', 'Image$ImageName' => 'The name of the image.
', 'ListAliasesRequest$ImageName' => 'The name of the image.
', 'ListImageVersionsRequest$ImageName' => 'The name of the image to list the versions of.
', 'UpdateImageRequest$ImageName' => 'The name of the image to update.
', 'UpdateImageVersionRequest$ImageName' => 'The name of the image.
', ], ], 'ImageNameContains' => [ 'base' => NULL, 'refs' => [ 'ListImagesRequest$NameContains' => 'A filter that returns only images whose name contains the specified string.
', ], ], 'ImageSortBy' => [ 'base' => NULL, 'refs' => [ 'ListImagesRequest$SortBy' => 'The property used to sort results. The default value is CREATION_TIME.
The sort order. The default value is DESCENDING.
The status of the image.
', 'Image$ImageStatus' => 'The status of the image.
', ], ], 'ImageUri' => [ 'base' => NULL, 'refs' => [ 'AppSpecification$ImageUri' => 'The container image to be run by the processing job.
', 'DataQualityAppSpecification$ImageUri' => 'The container image that the data quality monitoring job runs.
', 'ModelBiasAppSpecification$ImageUri' => 'The container image to be run by the model bias job.
', 'ModelExplainabilityAppSpecification$ImageUri' => 'The container image to be run by the model explainability job.
', 'ModelQualityAppSpecification$ImageUri' => 'The address of the container image that the monitoring job runs.
', 'MonitoringAppSpecification$ImageUri' => 'The container image to be run by the monitoring job.
', ], ], 'ImageVersion' => [ 'base' => 'A version of a SageMaker AI Image. A version represents an existing container image.
The SageMakerImageVersionAlias of the image to launch with. This value is in SemVer 2.0.0 versioning format.
', ], ], 'ImageVersionAliasPattern' => [ 'base' => NULL, 'refs' => [ 'VersionAliasesList$member' => NULL, ], ], 'ImageVersionArn' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionResponse$ImageVersionArn' => 'The ARN of the image version.
', 'DescribeImageVersionResponse$ImageVersionArn' => 'The ARN of the version.
', 'ImageVersion$ImageVersionArn' => 'The ARN of the version.
', 'ResourceSpec$SageMakerImageVersionArn' => 'The ARN of the image version created on the instance.
', 'UpdateImageVersionResponse$ImageVersionArn' => 'The ARN of the image version.
', ], ], 'ImageVersionNumber' => [ 'base' => NULL, 'refs' => [ 'CustomImage$ImageVersionNumber' => 'The version number of the CustomImage.
', 'DeleteImageVersionRequest$Version' => 'The version to delete.
', 'DescribeImageVersionRequest$Version' => 'The version of the image. If not specified, the latest version is described.
', 'DescribeImageVersionResponse$Version' => 'The version number.
', 'ImageVersion$Version' => 'The version number.
', 'ListAliasesRequest$Version' => 'The version of the image. If image version is not specified, the aliases of all versions of the image are listed.
', 'UpdateImageVersionRequest$Version' => 'The version of the image.
', ], ], 'ImageVersionSortBy' => [ 'base' => NULL, 'refs' => [ 'ListImageVersionsRequest$SortBy' => 'The property used to sort results. The default value is CREATION_TIME.
The sort order. The default value is DESCENDING.
The status of the version.
', 'ImageVersion$ImageVersionStatus' => 'The status of the version.
', ], ], 'ImageVersions' => [ 'base' => NULL, 'refs' => [ 'ListImageVersionsResponse$ImageVersions' => 'A list of versions and their properties.
', ], ], 'Images' => [ 'base' => NULL, 'refs' => [ 'ListImagesResponse$Images' => 'A list of images and their properties.
', ], ], 'ImportHubContentRequest' => [ 'base' => NULL, 'refs' => [], ], 'ImportHubContentResponse' => [ 'base' => NULL, 'refs' => [], ], 'InUseInstanceCount' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingPlanResponse$InUseInstanceCount' => 'The number of instances currently in use from this training plan.
', 'TrainingPlanSummary$InUseInstanceCount' => 'The number of instances currently in use from this training plan.
', ], ], 'InferenceComponentArn' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceComponentOutput$InferenceComponentArn' => 'The Amazon Resource Name (ARN) of the inference component.
', 'DescribeInferenceComponentOutput$InferenceComponentArn' => 'The Amazon Resource Name (ARN) of the inference component.
', 'InferenceComponentSummary$InferenceComponentArn' => 'The Amazon Resource Name (ARN) of the inference component.
', 'UpdateInferenceComponentOutput$InferenceComponentArn' => 'The Amazon Resource Name (ARN) of the inference component.
', 'UpdateInferenceComponentRuntimeConfigOutput$InferenceComponentArn' => 'The Amazon Resource Name (ARN) of the inference component.
', ], ], 'InferenceComponentComputeResourceRequirements' => [ 'base' => 'Defines the compute resources to allocate to run a model, plus any adapter models, that you assign to an inference component. These resources include CPU cores, accelerators, and memory.
', 'refs' => [ 'InferenceComponentSpecification$ComputeResourceRequirements' => 'The compute resources allocated to run the model, plus any adapter models, that you assign to the inference component.
Omit this parameter if your request is meant to create an adapter inference component. An adapter inference component is loaded by a base inference component, and it uses the compute resources of the base inference component.
', 'InferenceComponentSpecificationSummary$ComputeResourceRequirements' => 'The compute resources allocated to run the model, plus any adapter models, that you assign to the inference component.
', ], ], 'InferenceComponentContainerSpecification' => [ 'base' => 'Defines a container that provides the runtime environment for a model that you deploy with an inference component.
', 'refs' => [ 'InferenceComponentSpecification$Container' => 'Defines a container that provides the runtime environment for a model that you deploy with an inference component.
', ], ], 'InferenceComponentContainerSpecificationSummary' => [ 'base' => 'Details about the resources that are deployed with this inference component.
', 'refs' => [ 'InferenceComponentSpecificationSummary$Container' => 'Details about the container that provides the runtime environment for the model that is deployed with the inference component.
', ], ], 'InferenceComponentCopyCount' => [ 'base' => NULL, 'refs' => [ 'InferenceComponentRuntimeConfig$CopyCount' => 'The number of runtime copies of the model container to deploy with the inference component. Each copy can serve inference requests.
', 'InferenceComponentRuntimeConfigSummary$DesiredCopyCount' => 'The number of runtime copies of the model container that you requested to deploy with the inference component.
', 'InferenceComponentRuntimeConfigSummary$CurrentCopyCount' => 'The number of runtime copies of the model container that are currently deployed.
', ], ], 'InferenceComponentName' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceComponentInput$InferenceComponentName' => 'A unique name to assign to the inference component.
', 'DeleteInferenceComponentInput$InferenceComponentName' => 'The name of the inference component to delete.
', 'DescribeInferenceComponentInput$InferenceComponentName' => 'The name of the inference component.
', 'DescribeInferenceComponentOutput$InferenceComponentName' => 'The name of the inference component.
', 'InferenceComponentSpecification$BaseInferenceComponentName' => 'The name of an existing inference component that is to contain the inference component that you\'re creating with your request.
Specify this parameter only if your request is meant to create an adapter inference component. An adapter inference component contains the path to an adapter model. The purpose of the adapter model is to tailor the inference output of a base foundation model, which is hosted by the base inference component. The adapter inference component uses the compute resources that you assigned to the base inference component.
When you create an adapter inference component, use the Container parameter to specify the location of the adapter artifacts. In the parameter value, use the ArtifactUrl parameter of the InferenceComponentContainerSpecification data type.
Before you can create an adapter inference component, you must have an existing inference component that contains the foundation model that you want to adapt.
', 'InferenceComponentSpecificationSummary$BaseInferenceComponentName' => 'The name of the base inference component that contains this inference component.
', 'InferenceComponentSummary$InferenceComponentName' => 'The name of the inference component.
', 'UpdateInferenceComponentInput$InferenceComponentName' => 'The name of the inference component.
', 'UpdateInferenceComponentRuntimeConfigInput$InferenceComponentName' => 'The name of the inference component to update.
', ], ], 'InferenceComponentNameContains' => [ 'base' => NULL, 'refs' => [ 'ListInferenceComponentsInput$NameContains' => 'Filters the results to only those inference components with a name that contains the specified string.
', ], ], 'InferenceComponentRuntimeConfig' => [ 'base' => 'Runtime settings for a model that is deployed with an inference component.
', 'refs' => [ 'CreateInferenceComponentInput$RuntimeConfig' => 'Runtime settings for a model that is deployed with an inference component.
', 'UpdateInferenceComponentInput$RuntimeConfig' => 'Runtime settings for a model that is deployed with an inference component.
', 'UpdateInferenceComponentRuntimeConfigInput$DesiredRuntimeConfig' => 'Runtime settings for a model that is deployed with an inference component.
', ], ], 'InferenceComponentRuntimeConfigSummary' => [ 'base' => 'Details about the runtime settings for the model that is deployed with the inference component.
', 'refs' => [ 'DescribeInferenceComponentOutput$RuntimeConfig' => 'Details about the runtime settings for the model that is deployed with the inference component.
', ], ], 'InferenceComponentSortKey' => [ 'base' => NULL, 'refs' => [ 'ListInferenceComponentsInput$SortBy' => 'The field by which to sort the inference components in the response. The default is CreationTime.
Details about the resources to deploy with this inference component, including the model, container, and compute resources.
', 'refs' => [ 'CreateInferenceComponentInput$Specification' => 'Details about the resources to deploy with this inference component, including the model, container, and compute resources.
', 'UpdateInferenceComponentInput$Specification' => 'Details about the resources to deploy with this inference component, including the model, container, and compute resources.
', ], ], 'InferenceComponentSpecificationSummary' => [ 'base' => 'Details about the resources that are deployed with this inference component.
', 'refs' => [ 'DescribeInferenceComponentOutput$Specification' => 'Details about the resources that are deployed with this inference component.
', ], ], 'InferenceComponentStartupParameters' => [ 'base' => 'Settings that take effect while the model container starts up.
', 'refs' => [ 'InferenceComponentSpecification$StartupParameters' => 'Settings that take effect while the model container starts up.
', 'InferenceComponentSpecificationSummary$StartupParameters' => 'Settings that take effect while the model container starts up.
', ], ], 'InferenceComponentStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeInferenceComponentOutput$InferenceComponentStatus' => 'The status of the inference component.
', 'InferenceComponentSummary$InferenceComponentStatus' => 'The status of the inference component.
', 'ListInferenceComponentsInput$StatusEquals' => 'Filters the results to only those inference components with the specified status.
', ], ], 'InferenceComponentSummary' => [ 'base' => 'A summary of the properties of an inference component.
', 'refs' => [ 'InferenceComponentSummaryList$member' => NULL, ], ], 'InferenceComponentSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListInferenceComponentsOutput$InferenceComponents' => 'A list of inference components and their properties that matches any of the filters you specified in the request.
', ], ], 'InferenceExecutionConfig' => [ 'base' => 'Specifies details about how containers in a multi-container endpoint are run.
', 'refs' => [ 'CreateModelInput$InferenceExecutionConfig' => 'Specifies details of how containers in a multi-container endpoint are called.
', 'DescribeModelOutput$InferenceExecutionConfig' => 'Specifies details of how containers in a multi-container endpoint are called.
', 'Model$InferenceExecutionConfig' => NULL, ], ], 'InferenceExecutionMode' => [ 'base' => NULL, 'refs' => [ 'InferenceExecutionConfig$Mode' => 'How containers in a multi-container are run. The following values are valid.
SERIAL - Containers run as a serial pipeline.
DIRECT - Only the individual container that you specify is run.
The ARN for your inference experiment.
', 'DeleteInferenceExperimentResponse$InferenceExperimentArn' => 'The ARN of the deleted inference experiment.
', 'DescribeInferenceExperimentResponse$Arn' => 'The ARN of the inference experiment being described.
', 'StartInferenceExperimentResponse$InferenceExperimentArn' => 'The ARN of the started inference experiment to start.
', 'StopInferenceExperimentResponse$InferenceExperimentArn' => 'The ARN of the stopped inference experiment.
', 'UpdateInferenceExperimentResponse$InferenceExperimentArn' => 'The ARN of the updated inference experiment.
', ], ], 'InferenceExperimentDataStorageConfig' => [ 'base' => 'The Amazon S3 location and configuration for storing inference request and response data.
', 'refs' => [ 'CreateInferenceExperimentRequest$DataStorageConfig' => 'The Amazon S3 location and configuration for storing inference request and response data.
This is an optional parameter that you can use for data capture. For more information, see Capture data.
', 'DescribeInferenceExperimentResponse$DataStorageConfig' => 'The Amazon S3 location and configuration for storing inference request and response data.
', 'UpdateInferenceExperimentRequest$DataStorageConfig' => 'The Amazon S3 location and configuration for storing inference request and response data.
', ], ], 'InferenceExperimentDescription' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceExperimentRequest$Description' => 'A description for the inference experiment.
', 'DescribeInferenceExperimentResponse$Description' => 'The description of the inference experiment.
', 'InferenceExperimentSummary$Description' => 'The description of the inference experiment.
', 'UpdateInferenceExperimentRequest$Description' => 'The description of the inference experiment.
', ], ], 'InferenceExperimentList' => [ 'base' => NULL, 'refs' => [ 'ListInferenceExperimentsResponse$InferenceExperiments' => 'List of inference experiments.
', ], ], 'InferenceExperimentName' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceExperimentRequest$Name' => 'The name for the inference experiment.
', 'DeleteInferenceExperimentRequest$Name' => 'The name of the inference experiment you want to delete.
', 'DescribeInferenceExperimentRequest$Name' => 'The name of the inference experiment to describe.
', 'DescribeInferenceExperimentResponse$Name' => 'The name of the inference experiment.
', 'InferenceExperimentSummary$Name' => 'The name of the inference experiment.
', 'StartInferenceExperimentRequest$Name' => 'The name of the inference experiment to start.
', 'StopInferenceExperimentRequest$Name' => 'The name of the inference experiment to stop.
', 'UpdateInferenceExperimentRequest$Name' => 'The name of the inference experiment to be updated.
', ], ], 'InferenceExperimentSchedule' => [ 'base' => 'The start and end times of an inference experiment.
The maximum duration that you can set for an inference experiment is 30 days.
', 'refs' => [ 'CreateInferenceExperimentRequest$Schedule' => 'The duration for which you want the inference experiment to run. If you don\'t specify this field, the experiment automatically starts immediately upon creation and concludes after 7 days.
', 'DescribeInferenceExperimentResponse$Schedule' => 'The duration for which the inference experiment ran or will run.
', 'InferenceExperimentSummary$Schedule' => 'The duration for which the inference experiment ran or will run.
The maximum duration that you can set for an inference experiment is 30 days.
', 'UpdateInferenceExperimentRequest$Schedule' => ' The duration for which the inference experiment will run. If the status of the inference experiment is Created, then you can update both the start and end dates. If the status of the inference experiment is Running, then you can update only the end date.
The status of the inference experiment. The following are the possible statuses for an inference experiment:
Creating - Amazon SageMaker is creating your experiment.
Created - Amazon SageMaker has finished the creation of your experiment and will begin the experiment at the scheduled time.
Updating - When you make changes to your experiment, your experiment shows as updating.
Starting - Amazon SageMaker is beginning your experiment.
Running - Your experiment is in progress.
Stopping - Amazon SageMaker is stopping your experiment.
Completed - Your experiment has completed.
Cancelled - When you conclude your experiment early using the StopInferenceExperiment API, or if any operation fails with an unexpected error, it shows as cancelled.
The status of the inference experiment.
', 'ListInferenceExperimentsRequest$StatusEquals' => 'Selects inference experiments which are in this status. For the possible statuses, see DescribeInferenceExperiment.
', ], ], 'InferenceExperimentStatusReason' => [ 'base' => NULL, 'refs' => [ 'DescribeInferenceExperimentResponse$StatusReason' => ' The error message or client-specified Reason from the StopInferenceExperiment API, that explains the status of the inference experiment.
The error message for the inference experiment status result.
', 'StopInferenceExperimentRequest$Reason' => 'The reason for stopping the experiment.
', ], ], 'InferenceExperimentStopDesiredState' => [ 'base' => NULL, 'refs' => [ 'StopInferenceExperimentRequest$DesiredState' => 'The desired state of the experiment after stopping. The possible states are the following:
Completed: The experiment completed successfully
Cancelled: The experiment was canceled
Lists a summary of properties of an inference experiment.
', 'refs' => [ 'InferenceExperimentList$member' => NULL, ], ], 'InferenceExperimentType' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceExperimentRequest$Type' => 'The type of the inference experiment that you want to run. The following types of experiments are possible:
ShadowMode: You can use this type to validate a shadow variant. For more information, see Shadow tests.
The type of the inference experiment.
', 'InferenceExperimentSummary$Type' => 'The type of the inference experiment.
', 'ListInferenceExperimentsRequest$Type' => 'Selects inference experiments of this type. For the possible types of inference experiments, see CreateInferenceExperiment.
', ], ], 'InferenceHubAccessConfig' => [ 'base' => 'Configuration information specifying which hub contents have accessible deployment options.
', 'refs' => [ 'S3ModelDataSource$HubAccessConfig' => 'Configuration information for hub access.
', ], ], 'InferenceImage' => [ 'base' => NULL, 'refs' => [ 'DescribeCompilationJobResponse$InferenceImage' => 'The inference image to use when compiling a model. Specify an image only if the target device is a cloud instance.
', ], ], 'InferenceMetrics' => [ 'base' => 'The metrics for an existing endpoint compared in an Inference Recommender job.
', 'refs' => [ 'EndpointPerformance$Metrics' => 'The metrics for an existing endpoint.
', 'RecommendationJobInferenceBenchmark$EndpointMetrics' => NULL, ], ], 'InferenceRecommendation' => [ 'base' => 'A list of recommendations made by Amazon SageMaker Inference Recommender.
', 'refs' => [ 'InferenceRecommendations$member' => NULL, ], ], 'InferenceRecommendations' => [ 'base' => NULL, 'refs' => [ 'DescribeInferenceRecommendationsJobResponse$InferenceRecommendations' => 'The recommendations made by Inference Recommender.
', ], ], 'InferenceRecommendationsJob' => [ 'base' => 'A structure that contains a list of recommendation jobs.
', 'refs' => [ 'InferenceRecommendationsJobs$member' => NULL, ], ], 'InferenceRecommendationsJobStep' => [ 'base' => 'A returned array object for the Steps response field in the ListInferenceRecommendationsJobSteps API command.
A list of all subtask details in Inference Recommender.
', ], ], 'InferenceRecommendationsJobs' => [ 'base' => NULL, 'refs' => [ 'ListInferenceRecommendationsJobsResponse$InferenceRecommendationsJobs' => 'The recommendations created from the Amazon SageMaker Inference Recommender job.
', ], ], 'InferenceSpecification' => [ 'base' => 'Defines how to perform inference generation after a training job is run.
', 'refs' => [ 'BatchDescribeModelPackageSummary$InferenceSpecification' => NULL, 'CreateAlgorithmInput$InferenceSpecification' => 'Specifies details about inference jobs that the algorithm runs, including the following:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the algorithm supports for inference.
Specifies details about inference jobs that you can run with models based on this model package, including the following information:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the model package supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the model package supports for inference.
Details about inference jobs that the algorithm runs.
', 'DescribeModelPackageOutput$InferenceSpecification' => 'Details about inference jobs that you can run with models based on this model package.
', 'ModelPackage$InferenceSpecification' => 'Defines how to perform inference generation after a training job is run.
', 'UpdateModelPackageInput$InferenceSpecification' => 'Specifies details about inference jobs that you can run with models based on this model package, including the following information:
The Amazon ECR paths of containers that contain the inference code and model artifacts.
The instance types that the model package supports for transform jobs and real-time endpoints used for inference.
The input and output content formats that the model package supports for inference.
The inference specification name in the model package version.
', 'EndpointInputConfiguration$InferenceSpecificationName' => 'The inference specification name in the model package version.
', 'ModelConfiguration$InferenceSpecificationName' => 'The inference specification name in the model package version.
', ], ], 'InfraCheckConfig' => [ 'base' => 'Configuration information for the infrastructure health check of a training job. A SageMaker-provided health check tests the health of instance hardware and cluster network connectivity.
', 'refs' => [ 'CreateTrainingJobRequest$InfraCheckConfig' => 'Contains information about the infrastructure health check configuration for the training job.
', 'DescribeTrainingJobResponse$InfraCheckConfig' => 'Contains information about the infrastructure health check configuration for the training job.
', ], ], 'InitialInstanceCount' => [ 'base' => NULL, 'refs' => [ 'EndpointOutputConfiguration$InitialInstanceCount' => 'The number of instances recommended to launch initially.
', ], ], 'InitialNumberOfUsers' => [ 'base' => NULL, 'refs' => [ 'Phase$InitialNumberOfUsers' => 'Specifies how many concurrent users to start with. The value should be between 1 and 3.
', ], ], 'InitialTaskCount' => [ 'base' => NULL, 'refs' => [ 'ProductionVariant$InitialInstanceCount' => 'Number of instances to launch initially.
', ], ], 'InputConfig' => [ 'base' => 'Contains information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.
', 'refs' => [ 'CreateCompilationJobRequest$InputConfig' => 'Provides information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.
', 'DescribeCompilationJobResponse$InputConfig' => 'Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.
', ], ], 'InputDataConfig' => [ 'base' => NULL, 'refs' => [ 'CreateTrainingJobRequest$InputDataConfig' => 'An array of Channel objects. Each channel is a named input source. InputDataConfig describes the input data and its location.
Algorithms can accept input data from one or more channels. For example, an algorithm might have two channels of input data, training_data and validation_data. The configuration for each channel provides the S3, EFS, or FSx location where the input data is stored. It also provides information about the stored data: the MIME type, compression method, and whether the data is wrapped in RecordIO format.
Depending on the input mode that the algorithm supports, SageMaker either copies input data files from an S3 bucket to a local directory in the Docker container, or makes it available as input streams. For example, if you specify an EFS location, input data files are available as input streams. They do not need to be downloaded.
Your input must be in the same Amazon Web Services region as your training job.
', 'DescribeTrainingJobResponse$InputDataConfig' => 'An array of Channel objects that describes each data input channel.
An array of Channel objects that specify the input for the training jobs that the tuning job launches.
', 'TrainingJob$InputDataConfig' => 'An array of Channel objects that describes each data input channel.
Your input must be in the same Amazon Web Services region as your training job.
', 'TrainingJobDefinition$InputDataConfig' => 'An array of Channel objects, each of which specifies an input source.
Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
The allowed input mode, either FILE or PIPE.
In FILE mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode.
In PIPE mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
', ], ], 'InstanceCount' => [ 'base' => NULL, 'refs' => [ 'ComputeQuotaResourceConfig$Count' => 'The number of instances to add to the instance group of a SageMaker HyperPod cluster.
', ], ], 'InstanceGroup' => [ 'base' => 'Defines an instance group for heterogeneous cluster training. When requesting a training job using the CreateTrainingJob API, you can configure multiple instance groups .
', 'refs' => [ 'InstanceGroups$member' => NULL, ], ], 'InstanceGroupName' => [ 'base' => NULL, 'refs' => [ 'InstanceGroup$InstanceGroupName' => 'Specifies the name of the instance group.
', 'InstanceGroupNames$member' => NULL, ], ], 'InstanceGroupNames' => [ 'base' => NULL, 'refs' => [ 'S3DataSource$InstanceGroupNames' => 'A list of names of instance groups that get data from the S3 data source.
', ], ], 'InstanceGroupStatus' => [ 'base' => NULL, 'refs' => [ 'ClusterInstanceGroupDetails$Status' => 'The current status of the cluster instance group.
InService: The instance group is active and healthy.
Creating: The instance group is being provisioned.
Updating: The instance group is being updated.
Failed: The instance group has failed to provision or is no longer healthy.
Degraded: The instance group is degraded, meaning that some instances have failed to provision or are no longer healthy.
Deleting: The instance group is being deleted.
The current status of the training plan associated with this cluster instance group.
', ], ], 'InstanceGroups' => [ 'base' => NULL, 'refs' => [ 'ResourceConfig$InstanceGroups' => 'The configuration of a heterogeneous cluster in JSON format.
', ], ], 'InstanceMetadataServiceConfiguration' => [ 'base' => 'Information on the IMDS configuration of the notebook instance
', 'refs' => [ 'CreateNotebookInstanceInput$InstanceMetadataServiceConfiguration' => 'Information on the IMDS configuration of the notebook instance
', 'DescribeNotebookInstanceOutput$InstanceMetadataServiceConfiguration' => 'Information on the IMDS configuration of the notebook instance
', 'UpdateNotebookInstanceInput$InstanceMetadataServiceConfiguration' => 'Information on the IMDS configuration of the notebook instance
', ], ], 'InstanceType' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceInput$InstanceType' => 'The type of ML compute instance to launch for the notebook instance.
', 'DescribeNotebookInstanceOutput$InstanceType' => 'The type of ML compute instance running on the notebook instance.
', 'NotebookInstanceSummary$InstanceType' => 'The type of ML compute instance that the notebook instance is running on.
', 'RealTimeInferenceConfig$InstanceType' => 'The instance type the model is deployed to.
', 'UpdateNotebookInstanceInput$InstanceType' => 'The Amazon ML compute instance type.
', ], ], 'Integer' => [ 'base' => NULL, 'refs' => [ 'ClusterSchedulerConfigSummary$ClusterSchedulerConfigVersion' => 'Version of the cluster policy.
', 'ComputeQuotaSummary$ComputeQuotaVersion' => 'Version of the compute allocation definition.
', 'CreateModelCardExportJobRequest$ModelCardVersion' => 'The version of the model card to export. If a version is not provided, then the latest version of the model card is exported.
', 'DescribeClusterSchedulerConfigRequest$ClusterSchedulerConfigVersion' => 'Version of the cluster policy.
', 'DescribeClusterSchedulerConfigResponse$ClusterSchedulerConfigVersion' => 'Version of the cluster policy.
', 'DescribeComputeQuotaRequest$ComputeQuotaVersion' => 'Version of the compute allocation definition.
', 'DescribeComputeQuotaResponse$ComputeQuotaVersion' => 'Version of the compute allocation definition.
', 'DescribeDeviceResponse$MaxModels' => 'The maximum number of models.
', 'DescribeEdgeDeploymentPlanResponse$EdgeDeploymentSuccess' => 'The number of edge devices with the successful deployment.
', 'DescribeEdgeDeploymentPlanResponse$EdgeDeploymentPending' => 'The number of edge devices yet to pick up deployment, or in progress.
', 'DescribeEdgeDeploymentPlanResponse$EdgeDeploymentFailed' => 'The number of edge devices that failed the deployment.
', 'DescribeModelCardExportJobResponse$ModelCardVersion' => 'The version of the model card that the model export job exports.
', 'DescribeModelCardRequest$ModelCardVersion' => 'The version of the model card to describe. If a version is not provided, then the latest version of the model card is described.
', 'DescribeModelCardResponse$ModelCardVersion' => 'The version of the model card.
', 'DynamicScalingConfiguration$MinCapacity' => 'The recommended minimum capacity to specify for your autoscaling policy.
', 'DynamicScalingConfiguration$MaxCapacity' => 'The recommended maximum capacity to specify for your autoscaling policy.
', 'DynamicScalingConfiguration$ScaleInCooldown' => 'The recommended scale in cooldown time for your autoscaling policy.
', 'DynamicScalingConfiguration$ScaleOutCooldown' => 'The recommended scale out cooldown time for your autoscaling policy.
', 'EdgeDeploymentPlanSummary$EdgeDeploymentSuccess' => 'The number of edge devices with the successful deployment.
', 'EdgeDeploymentPlanSummary$EdgeDeploymentPending' => 'The number of edge devices yet to pick up the deployment, or in progress.
', 'EdgeDeploymentPlanSummary$EdgeDeploymentFailed' => 'The number of edge devices that failed the deployment.
', 'EdgeDeploymentStatus$EdgeDeploymentSuccessInStage' => 'The number of edge devices with the successful deployment in the current stage.
', 'EdgeDeploymentStatus$EdgeDeploymentPendingInStage' => 'The number of edge devices yet to pick up the deployment in current stage, or in progress.
', 'EdgeDeploymentStatus$EdgeDeploymentFailedInStage' => 'The number of edge devices that failed the deployment in current stage.
', 'HyperParameterTuningJobCompletionDetails$NumberOfTrainingJobsObjectiveNotImproving' => 'The number of training jobs launched by a tuning job that are not improving (1% or less) as measured by model performance evaluated against an objective function.
', 'HyperParameterTuningJobConsumedResources$RuntimeInSeconds' => 'The wall clock runtime in seconds used by your hyperparameter tuning job.
', 'InferenceMetrics$MaxInvocations' => 'The expected maximum number of requests per minute for the instance.
', 'InferenceMetrics$ModelLatency' => 'The expected model latency at maximum invocations per minute for the instance.
', 'ListModelCardExportJobsRequest$ModelCardVersion' => 'List export jobs for the model card with the specified version.
', 'ModelCard$ModelCardVersion' => 'The version of the model card.
', 'ModelCardExportJobSummary$ModelCardVersion' => 'The version of the model card that the export job exports.
', 'ModelCardVersionSummary$ModelCardVersion' => 'A version of the model card.
', 'ModelDashboardModelCard$ModelCardVersion' => 'The model card version.
', 'ModelLatencyThreshold$ValueInMilliseconds' => 'The model latency percentile value in milliseconds.
', 'PipelineExecutionStep$AttemptCount' => 'The current attempt of the execution step. For more information, see Retry Policy for SageMaker Pipelines steps.
', 'RecommendationJobStoppingConditions$MaxInvocations' => 'The maximum number of requests per minute expected for the endpoint.
', 'RecommendationMetrics$MaxInvocations' => 'The expected maximum number of requests per minute for the instance.
', 'RecommendationMetrics$ModelLatency' => 'The expected model latency at maximum invocation per minute for the instance.
', 'ScalingPolicyMetric$InvocationsPerInstance' => 'The number of invocations sent to a model, normalized by InstanceCount in each ProductionVariant. 1/numberOfInstances is sent as the value on each request, where numberOfInstances is the number of active instances for the ProductionVariant behind the endpoint at the time of the request.
The interval of time taken by a model to respond as viewed from SageMaker. This interval includes the local communication times taken to send the request and to fetch the response from the container of a model and the time taken to complete the inference in the container.
', 'ScalingPolicyObjective$MinInvocationsPerMinute' => 'The minimum number of expected requests to your endpoint per minute.
', 'ScalingPolicyObjective$MaxInvocationsPerMinute' => 'The maximum number of expected requests to your endpoint per minute.
', 'UpdateClusterSchedulerConfigRequest$TargetVersion' => 'Target version.
', 'UpdateClusterSchedulerConfigResponse$ClusterSchedulerConfigVersion' => 'Version of the cluster policy.
', 'UpdateComputeQuotaRequest$TargetVersion' => 'Target version.
', 'UpdateComputeQuotaResponse$ComputeQuotaVersion' => 'Version of the compute allocation definition.
', ], ], 'IntegerParameterRange' => [ 'base' => 'For a hyperparameter of the integer type, specifies the range that a hyperparameter tuning job searches.
', 'refs' => [ 'IntegerParameterRanges$member' => NULL, ], ], 'IntegerParameterRangeSpecification' => [ 'base' => 'Defines the possible values for an integer hyperparameter.
', 'refs' => [ 'ParameterRange$IntegerParameterRangeSpecification' => 'A IntegerParameterRangeSpecification object that defines the possible values for an integer hyperparameter.
The array of IntegerParameterRange objects that specify ranges of integer hyperparameters that a hyperparameter tuning job searches.
', ], ], 'InvocationEndTime' => [ 'base' => NULL, 'refs' => [ 'InferenceRecommendation$InvocationEndTime' => 'A timestamp that shows when the benchmark completed.
', 'RecommendationJobInferenceBenchmark$InvocationEndTime' => 'A timestamp that shows when the benchmark completed.
', ], ], 'InvocationStartTime' => [ 'base' => NULL, 'refs' => [ 'InferenceRecommendation$InvocationStartTime' => 'A timestamp that shows when the benchmark started.
', 'RecommendationJobInferenceBenchmark$InvocationStartTime' => 'A timestamp that shows when the benchmark started.
', ], ], 'InvocationsMaxRetries' => [ 'base' => NULL, 'refs' => [ 'ModelClientConfig$InvocationsMaxRetries' => 'The maximum number of retries when invocation requests are failing. The default value is 3.
', ], ], 'InvocationsTimeoutInSeconds' => [ 'base' => NULL, 'refs' => [ 'ModelClientConfig$InvocationsTimeoutInSeconds' => 'The timeout value in seconds for an invocation request. The default value is 600.
', ], ], 'IotRoleAlias' => [ 'base' => NULL, 'refs' => [ 'DescribeDeviceFleetResponse$IotRoleAlias' => 'The Amazon Resource Name (ARN) alias created in Amazon Web Services Internet of Things (IoT).
', ], ], 'IsTrackingServerActive' => [ 'base' => NULL, 'refs' => [ 'DescribeMlflowTrackingServerResponse$IsActive' => 'Whether the described MLflow Tracking Server is currently active.
', 'TrackingServerSummary$IsActive' => 'The activity status of a listed tracking server.
', ], ], 'ItemIdentifierAttributeName' => [ 'base' => NULL, 'refs' => [ 'TimeSeriesConfig$ItemIdentifierAttributeName' => 'The name of the column that represents the set of item identifiers for which you want to predict the target value.
', ], ], 'JobDurationInSeconds' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobInputConfig$JobDurationInSeconds' => 'Specifies the maximum duration of the job, in seconds. The maximum value is 18,000 seconds.
', ], ], 'JobReferenceCode' => [ 'base' => NULL, 'refs' => [ 'DescribeLabelingJobResponse$JobReferenceCode' => 'A unique identifier for work done as part of a labeling job.
', 'LabelingJobForWorkteamSummary$JobReferenceCode' => 'A unique identifier for a labeling job. You can use this to refer to a specific labeling job.
', ], ], 'JobReferenceCodeContains' => [ 'base' => NULL, 'refs' => [ 'ListLabelingJobsForWorkteamRequest$JobReferenceCodeContains' => 'A filter the limits jobs to only the ones whose job reference code contains the specified string.
', ], ], 'JobType' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionRequest$JobType' => 'Indicates SageMaker AI job type compatibility.
TRAINING: The image version is compatible with SageMaker AI training jobs.
INFERENCE: The image version is compatible with SageMaker AI inference jobs.
NOTEBOOK_KERNEL: The image version is compatible with SageMaker AI notebook kernels.
Indicates SageMaker AI job type compatibility.
TRAINING: The image version is compatible with SageMaker AI training jobs.
INFERENCE: The image version is compatible with SageMaker AI inference jobs.
NOTEBOOK_KERNEL: The image version is compatible with SageMaker AI notebook kernels.
Indicates SageMaker AI job type compatibility.
TRAINING: The image version is compatible with SageMaker AI training jobs.
INFERENCE: The image version is compatible with SageMaker AI inference jobs.
NOTEBOOK_KERNEL: The image version is compatible with SageMaker AI notebook kernels.
Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. You can specify OutputFilter as an additional filter to select a portion of the joined dataset and store it in the output file.
For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput.
For CSV data, SageMaker takes each row as a JSON array and joins the transformed data with the input by appending each transformed row to the end of the input. The joined data has the original input data followed by the transformed data and the output is a CSV file.
For information on how joining in applied, see Workflow for Associating Inferences with Input Records.
', ], ], 'JsonContentType' => [ 'base' => NULL, 'refs' => [ 'JsonContentTypes$member' => NULL, ], ], 'JsonContentTypes' => [ 'base' => NULL, 'refs' => [ 'CaptureContentTypeHeader$JsonContentTypes' => 'The list of all content type headers that SageMaker AI will treat as JSON and capture accordingly.
', ], ], 'JsonPath' => [ 'base' => NULL, 'refs' => [ 'DataProcessing$InputFilter' => 'A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter parameter to exclude fields, such as an ID column, from the input. If you want SageMaker to pass the entire input dataset to the algorithm, accept the default value $.
Examples: "$", "$[1:]", "$.features"
A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want SageMaker to store the entire input dataset in the output file, leave the default value, $. If you specify indexes that aren\'t within the dimension size of the joined dataset, you get an error.
Examples: "$", "$[0,5:]", "$[\'id\',\'SageMakerOutput\']"
The configuration for the file system and kernels in a SageMaker AI image running as a JupyterLab app. The FileSystemConfig object is not supported.
The configuration for the file system and the runtime, such as the environment variables and entry point.
', 'CreateAppImageConfigRequest$JupyterLabAppImageConfig' => 'The JupyterLabAppImageConfig. You can only specify one image kernel in the AppImageConfig API. This kernel is shown to users before the image starts. After the image runs, all kernels are visible in JupyterLab.
The configuration of the JupyterLab app.
', 'UpdateAppImageConfigRequest$JupyterLabAppImageConfig' => 'The JupyterLab app running on the image.
', ], ], 'JupyterLabAppSettings' => [ 'base' => 'The settings for the JupyterLab application.
', 'refs' => [ 'DefaultSpaceSettings$JupyterLabAppSettings' => NULL, 'UserSettings$JupyterLabAppSettings' => 'The settings for the JupyterLab application.
SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn\'t apply these settings to shared spaces.
', ], ], 'JupyterServerAppSettings' => [ 'base' => 'The JupyterServer app settings.
', 'refs' => [ 'DefaultSpaceSettings$JupyterServerAppSettings' => NULL, 'SpaceSettings$JupyterServerAppSettings' => NULL, 'UserSettings$JupyterServerAppSettings' => 'The Jupyter server\'s app settings.
', ], ], 'KeepAlivePeriodInSeconds' => [ 'base' => 'Optional. Customer requested period in seconds for which the Training cluster is kept alive after the job is finished.', 'refs' => [ 'ResourceConfig$KeepAlivePeriodInSeconds' => 'The duration of time in seconds to retain configured resources in a warm pool for subsequent training jobs.
', 'ResourceConfigForUpdate$KeepAlivePeriodInSeconds' => 'The KeepAlivePeriodInSeconds value specified in the ResourceConfig to update.
The Amazon SageMaker Canvas application setting where you configure document querying.
', 'refs' => [ 'CanvasAppSettings$KendraSettings' => 'The settings for document querying.
', ], ], 'KernelDisplayName' => [ 'base' => NULL, 'refs' => [ 'KernelSpec$DisplayName' => 'The display name of the kernel.
', ], ], 'KernelGatewayAppSettings' => [ 'base' => 'The KernelGateway app settings.
', 'refs' => [ 'DefaultSpaceSettings$KernelGatewayAppSettings' => NULL, 'SpaceSettings$KernelGatewayAppSettings' => NULL, 'UserSettings$KernelGatewayAppSettings' => 'The kernel gateway app settings.
', ], ], 'KernelGatewayImageConfig' => [ 'base' => 'The configuration for the file system and kernels in a SageMaker AI image running as a KernelGateway app.
', 'refs' => [ 'AppImageConfigDetails$KernelGatewayImageConfig' => 'The configuration for the file system and kernels in the SageMaker AI image.
', 'CreateAppImageConfigRequest$KernelGatewayImageConfig' => 'The KernelGatewayImageConfig. You can only specify one image kernel in the AppImageConfig API. This kernel will be shown to users before the image starts. Once the image runs, all kernels are visible in JupyterLab.
', 'DescribeAppImageConfigResponse$KernelGatewayImageConfig' => 'The configuration of a KernelGateway app.
', 'UpdateAppImageConfigRequest$KernelGatewayImageConfig' => 'The new KernelGateway app to run on the image.
', ], ], 'KernelName' => [ 'base' => NULL, 'refs' => [ 'KernelSpec$Name' => 'The name of the Jupyter kernel in the image. This value is case sensitive.
', ], ], 'KernelSpec' => [ 'base' => 'The specification of a Jupyter kernel.
', 'refs' => [ 'KernelSpecs$member' => NULL, ], ], 'KernelSpecs' => [ 'base' => NULL, 'refs' => [ 'KernelGatewayImageConfig$KernelSpecs' => 'The specification of the Jupyter kernels in the image.
', ], ], 'Key' => [ 'base' => NULL, 'refs' => [ 'PipelineDefinitionS3Location$ObjectKey' => 'The object key (or key name) uniquely identifies the object in an S3 bucket.
', ], ], 'KmsKeyId' => [ 'base' => NULL, 'refs' => [ 'AsyncInferenceOutputConfig$KmsKeyId' => 'The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the asynchronous inference output in Amazon S3.
', 'AthenaDatasetDefinition$KmsKeyId' => 'The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data generated from an Athena query execution.
', 'AutoMLOutputDataConfig$KmsKeyId' => 'The Key Management Service encryption key ID.
', 'AutoMLSecurityConfig$VolumeKmsKeyId' => 'The key used to encrypt stored data.
', 'BatchDataCaptureConfig$KmsKeyId' => 'The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the batch transform job.
The KmsKeyId can be any of the following formats:
Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
Use KmsKeyId.
SageMaker AI uses Amazon Web Services KMS to encrypt EFS and EBS volumes attached to the domain with an Amazon Web Services managed key by default. For more control, specify a customer managed key.
', 'CreateEdgePackagingJobRequest$ResourceKey' => 'The Amazon Web Services KMS key to use when encrypting the EBS volume the edge packaging job runs on.
', 'CreateEndpointConfigInput$KmsKeyId' => 'The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
The KmsKeyId can be any of the following formats:
Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
The KMS key policy must grant permission to the IAM role that you specify in your CreateEndpoint, UpdateEndpoint requests. For more information, refer to the Amazon Web Services Key Management Service section Using Key Policies in Amazon Web Services KMS
Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can\'t request a KmsKeyId when using an instance type with local storage. If any of the models that you specify in the ProductionVariants parameter use nitro-based instances with local storage, do not specify a value for the KmsKeyId parameter. If you specify a value for KmsKeyId when using any nitro-based instances with local storage, the call to CreateEndpointConfig fails.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. The KmsKey can be any of the following formats:
KMS key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
KMS key Alias
"alias/ExampleAlias"
Amazon Resource Name (ARN) of a KMS key Alias
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
If you use a KMS key ID or an alias of your KMS key, the Amazon SageMaker execution role must include permissions to call kms:Encrypt. If you don\'t provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role\'s account. Amazon SageMaker uses server-side encryption with KMS managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you specify in your CreateEndpoint and UpdateEndpoint requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker AI uses to encrypt data on the storage volume attached to your notebook instance. The KMS key you provide must be enabled. For information, see Enabling and Disabling Keys in the Amazon Web Services Key Management Service Developer Guide.
', 'DataCaptureConfig$KmsKeyId' => 'The Amazon Resource Name (ARN) of an Key Management Service key that SageMaker AI uses to encrypt the captured data at rest using Amazon S3 server-side encryption.
The KmsKeyId can be any of the following formats:
Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
The KMS key being used to encrypt the data in Amazon S3.
', 'DescribeDomainResponse$HomeEfsFileSystemKmsKeyId' => 'Use KmsKeyId.
The Amazon Web Services KMS customer managed key used to encrypt the EFS volume attached to the domain.
', 'DescribeEdgePackagingJobResponse$ResourceKey' => 'The Amazon Web Services KMS key to use when encrypting the EBS volume the job run on.
', 'DescribeEndpointConfigOutput$KmsKeyId' => 'Amazon Web Services KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance.
', 'DescribeInferenceExperimentResponse$KmsKey' => 'The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. For more information, see CreateInferenceExperiment.
', 'DescribeNotebookInstanceOutput$KmsKeyId' => 'The Amazon Web Services KMS key ID SageMaker AI uses to encrypt data when storing it on the ML storage volume attached to the instance.
', 'EdgeOutputConfig$KmsKeyId' => 'The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume after compilation job. If you don\'t provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role\'s account.
', 'FlowDefinitionOutputConfig$KmsKeyId' => 'The Amazon Key Management Service (KMS) key ID for server-side encryption.
', 'HyperParameterTuningResourceConfig$VolumeKmsKeyId' => 'A key used by Amazon Web Services Key Management Service to encrypt data on the storage volume attached to the compute instances used to run the training job. You can use either of the following formats to specify a key.
KMS Key ID:
"1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS key:
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
Some instances use local storage, which use a hardware module to encrypt storage volumes. If you choose one of these instance types, you cannot request a VolumeKmsKeyId. For a list of instance types that use local storage, see instance store volumes. For more information about Amazon Web Services Key Management Service, see KMS encryption for more information.
The Amazon Web Services Key Management Service key that Amazon SageMaker uses to encrypt captured data at rest using Amazon S3 server-side encryption.
', 'LabelingJobOutputConfig$KmsKeyId' => 'The Amazon Web Services Key Management Service ID of the key used to encrypt the output data, if any.
If you provide your own KMS key ID, you must add the required permissions to your KMS key described in Encrypt Output Data and Storage Volume with Amazon Web Services KMS.
If you don\'t provide a KMS key ID, Amazon SageMaker uses the default Amazon Web Services KMS key for Amazon S3 for your role\'s account to encrypt your output data.
If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference jobs used for automated data labeling.
You can only specify a VolumeKmsKeyId when you create a labeling job with automated data labeling enabled using the API operation CreateLabelingJob. You cannot specify an Amazon Web Services KMS key to encrypt the storage volume used for automated data labeling model training and inference when you create a labeling job using the console. To learn more, see Output Data and Storage Volume Encryption.
The VolumeKmsKeyId can be any of the following formats:
KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
A Key Management Service key ID to use for encrypting a model card.
', 'ModelPackageSecurityConfig$KmsKeyId' => 'The KMS Key ID (KMSKeyId) used for encryption of model package information.
The Key Management Service (KMS) key that Amazon SageMaker AI uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
', 'MonitoringOutputConfig$KmsKeyId' => 'The Key Management Service (KMS) key that Amazon SageMaker AI uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.
', 'OnlineStoreSecurityConfig$KmsKeyId' => 'The Amazon Web Services Key Management Service (KMS) key ARN that SageMaker Feature Store uses to encrypt the Amazon S3 objects at rest using Amazon S3 server-side encryption.
The caller (either user or IAM role) of CreateFeatureGroup must have below permissions to the OnlineStore KmsKeyId:
"kms:Encrypt"
"kms:Decrypt"
"kms:DescribeKey"
"kms:CreateGrant"
"kms:RetireGrant"
"kms:ReEncryptFrom"
"kms:ReEncryptTo"
"kms:GenerateDataKey"
"kms:ListAliases"
"kms:ListGrants"
"kms:RevokeGrant"
The caller (either user or IAM role) to all DataPlane operations (PutRecord, GetRecord, DeleteRecord) must have the following permissions to the KmsKeyId:
"kms:Decrypt"
The Amazon Resource Name (ARN) of a key in Amazon Web Services KMS. SageMaker uses they key to encrypt the artifacts of the optimized model when SageMaker uploads the model to Amazon S3.
', 'OutputConfig$KmsKeyId' => 'The Amazon Web Services Key Management Service key (Amazon Web Services KMS) that Amazon SageMaker AI uses to encrypt your output models with Amazon S3 server-side encryption after compilation job. If you don\'t provide a KMS key ID, Amazon SageMaker AI uses the default KMS key for Amazon S3 for your role\'s account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KmsKeyId can be any of the following formats:
Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
// KMS Key Alias
"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
If you use a KMS key ID or an alias of your KMS key, the SageMaker execution role must include permissions to call kms:Encrypt. If you don\'t provide a KMS key ID, SageMaker uses the default KMS key for Amazon S3 for your role\'s account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide. If the output data is stored in Amazon S3 Express One Zone, it is encrypted with server-side encryption with Amazon S3 managed keys (SSE-S3). KMS key is not supported for Amazon S3 Express One Zone
The KMS key policy must grant permission to the IAM role that you specify in your CreateTrainingJob, CreateTransformJob, or CreateHyperParameterTuningJob requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can\'t request a VolumeKmsKeyId when using an instance type with local storage.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the processing job output. KmsKeyId can be an ID of a KMS key, ARN of a KMS key, alias of a KMS key, or alias of a KMS key. The KmsKeyId is applied to all outputs.
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the core dump data at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
// KMS Key Alias
"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
If you use a KMS key ID or an alias of your KMS key, the SageMaker execution role must include permissions to call kms:Encrypt. If you don\'t provide a KMS key ID, SageMaker uses the default KMS key for Amazon S3 for your role\'s account. SageMaker uses server-side encryption with KMS-managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you specify in your CreateEndpoint and UpdateEndpoint requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.
The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.
The KmsKeyId can be any of the following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"
// KMS Key Alias
"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias
"arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"
For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.
', 'RecommendationJobOutputConfig$KmsKeyId' => 'The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt your output artifacts with Amazon S3 server-side encryption. The SageMaker execution role must have kms:GenerateDataKey permission.
The KmsKeyId can be any of the following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"
// KMS Key Alias
"alias/ExampleAlias"
// Amazon Resource Name (ARN) of a KMS Key Alias
"arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"
For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.
', 'RedshiftDatasetDefinition$KmsKeyId' => 'The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data from a Redshift execution.
', 'ResourceConfig$VolumeKmsKeyId' => 'The Amazon Web Services KMS key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job.
Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can\'t request a VolumeKmsKeyId when using an instance type with local storage.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
The VolumeKmsKeyId can be in any of the following formats:
// KMS Key ID
"1234abcd-12ab-34cd-56ef-1234567890ab"
// Amazon Resource Name (ARN) of a KMS Key
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
The Amazon Web Services Key Management Service (KMS) key ARN of the key used to encrypt any objects written into the OfflineStore S3 location.
The IAM roleARN that is passed as a parameter to CreateFeatureGroup must have below permissions to the KmsKeyId:
"kms:GenerateDataKey"
When NotebookOutputOption is Allowed, the Amazon Web Services Key Management Service (KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:
Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
If you don\'t provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role\'s account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you specify in your CreateModel request. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.
', 'TransformResources$VolumeKmsKeyId' => 'The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job.
Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can\'t request a VolumeKmsKeyId when using an instance type with local storage.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
The VolumeKmsKeyId can be any of the following formats:
Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
The Amazon Web Services Key Management Service (KMS) encryption key ID that is used to encrypt artifacts generated by Canvas in the Amazon S3 bucket.
', ], ], 'LabelAttributeName' => [ 'base' => NULL, 'refs' => [ 'CreateLabelingJobRequest$LabelAttributeName' => 'The attribute name to use for the label in the output manifest file. This is the key for the key/value pair formed with the label that a worker assigns to the object. The LabelAttributeName must meet the following requirements.
The name can\'t end with "-metadata".
If you are using one of the following built-in task types, the attribute name must end with "-ref". If the task type you are using is not listed below, the attribute name must not end with "-ref".
Image semantic segmentation (SemanticSegmentation), and adjustment (AdjustmentSemanticSegmentation) and verification (VerificationSemanticSegmentation) labeling jobs for this task type.
Video frame object detection (VideoObjectDetection), and adjustment and verification (AdjustmentVideoObjectDetection) labeling jobs for this task type.
Video frame object tracking (VideoObjectTracking), and adjustment and verification (AdjustmentVideoObjectTracking) labeling jobs for this task type.
3D point cloud semantic segmentation (3DPointCloudSemanticSegmentation), and adjustment and verification (Adjustment3DPointCloudSemanticSegmentation) labeling jobs for this task type.
3D point cloud object tracking (3DPointCloudObjectTracking), and adjustment and verification (Adjustment3DPointCloudObjectTracking) labeling jobs for this task type.
If you are creating an adjustment or verification labeling job, you must use a different LabelAttributeName than the one used in the original labeling job. The original labeling job is the Ground Truth labeling job that produced the labels that you want verified or adjusted. To learn more about adjustment and verification labeling jobs, see Verify and Adjust Labels.
The attribute used as the label in the output manifest file.
', ], ], 'LabelCounter' => [ 'base' => NULL, 'refs' => [ 'LabelCounters$TotalLabeled' => 'The total number of objects labeled.
', 'LabelCounters$HumanLabeled' => 'The total number of objects labeled by a human worker.
', 'LabelCounters$MachineLabeled' => 'The total number of objects labeled by automated data labeling.
', 'LabelCounters$FailedNonRetryableError' => 'The total number of objects that could not be labeled due to an error.
', 'LabelCounters$Unlabeled' => 'The total number of objects not yet labeled.
', 'LabelCountersForWorkteam$HumanLabeled' => 'The total number of data objects labeled by a human worker.
', 'LabelCountersForWorkteam$PendingHuman' => 'The total number of data objects that need to be labeled by a human worker.
', 'LabelCountersForWorkteam$Total' => 'The total number of tasks in the labeling job.
', ], ], 'LabelCounters' => [ 'base' => 'Provides a breakdown of the number of objects labeled.
', 'refs' => [ 'DescribeLabelingJobResponse$LabelCounters' => 'Provides a breakdown of the number of data objects labeled by humans, the number of objects labeled by machine, the number of objects than couldn\'t be labeled, and the total number of objects labeled.
', 'LabelingJobSummary$LabelCounters' => 'Counts showing the progress of the labeling job.
', ], ], 'LabelCountersForWorkteam' => [ 'base' => 'Provides counts for human-labeled tasks in the labeling job.
', 'refs' => [ 'LabelingJobForWorkteamSummary$LabelCounters' => 'Provides information about the progress of a labeling job.
', ], ], 'LabelingJobAlgorithmSpecificationArn' => [ 'base' => NULL, 'refs' => [ 'LabelingJobAlgorithmsConfig$LabelingJobAlgorithmSpecificationArn' => 'Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs:
Image classification
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification
Text classification
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification
Object detection
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection
Semantic Segmentation
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation
Provides configuration information for auto-labeling of your data objects. A LabelingJobAlgorithmsConfig object must be supplied in order to use auto-labeling.
Configures the information required to perform automated data labeling.
', 'DescribeLabelingJobResponse$LabelingJobAlgorithmsConfig' => 'Configuration information for automated data labeling.
', ], ], 'LabelingJobArn' => [ 'base' => NULL, 'refs' => [ 'CreateLabelingJobResponse$LabelingJobArn' => 'The Amazon Resource Name (ARN) of the labeling job. You use this ARN to identify the labeling job.
', 'DescribeLabelingJobResponse$LabelingJobArn' => 'The Amazon Resource Name (ARN) of the labeling job.
', 'DescribeTrainingJobResponse$LabelingJobArn' => 'The Amazon Resource Name (ARN) of the SageMaker Ground Truth labeling job that created the transform or training job.
', 'DescribeTransformJobResponse$LabelingJobArn' => 'The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
', 'LabelingJobSummary$LabelingJobArn' => 'The Amazon Resource Name (ARN) assigned to the labeling job when it was created.
', 'TrainingJob$LabelingJobArn' => 'The Amazon Resource Name (ARN) of the labeling job.
', 'TransformJob$LabelingJobArn' => 'The Amazon Resource Name (ARN) of the labeling job that created the transform job.
', ], ], 'LabelingJobDataAttributes' => [ 'base' => 'Attributes of the data specified by the customer. Use these to describe the data to be labeled.
', 'refs' => [ 'LabelingJobInputConfig$DataAttributes' => 'Attributes of the data specified by the customer.
', ], ], 'LabelingJobDataSource' => [ 'base' => 'Provides information about the location of input data.
You must specify at least one of the following: S3DataSource or SnsDataSource.
Use SnsDataSource to specify an SNS input topic for a streaming labeling job. If you do not specify and SNS input topic ARN, Ground Truth will create a one-time labeling job.
Use S3DataSource to specify an input manifest file for both streaming and one-time labeling jobs. Adding an S3DataSource is optional if you use SnsDataSource to create a streaming labeling job.
The location of the input data.
', ], ], 'LabelingJobForWorkteamSummary' => [ 'base' => 'Provides summary information for a work team.
', 'refs' => [ 'LabelingJobForWorkteamSummaryList$member' => NULL, ], ], 'LabelingJobForWorkteamSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListLabelingJobsForWorkteamResponse$LabelingJobSummaryList' => 'An array of LabelingJobSummary objects, each describing a labeling job.
Input configuration information for a labeling job.
', 'refs' => [ 'CreateLabelingJobRequest$InputConfig' => 'Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
You must specify at least one of the following: S3DataSource or SnsDataSource.
Use SnsDataSource to specify an SNS input topic for a streaming labeling job. If you do not specify and SNS input topic ARN, Ground Truth will create a one-time labeling job that stops after all data objects in the input manifest file have been labeled.
Use S3DataSource to specify an input manifest file for both streaming and one-time labeling jobs. Adding an S3DataSource is optional if you use SnsDataSource to create a streaming labeling job.
If you use the Amazon Mechanical Turk workforce, your input data should not include confidential information, personal information or protected health information. Use ContentClassifiers to specify that your data is free of personally identifiable information and adult content.
Input configuration information for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
', 'LabelingJobSummary$InputConfig' => 'Input configuration for the labeling job.
', ], ], 'LabelingJobName' => [ 'base' => NULL, 'refs' => [ 'CreateLabelingJobRequest$LabelingJobName' => 'The name of the labeling job. This name is used to identify the job in a list of labeling jobs. Labeling job names must be unique within an Amazon Web Services account and region. LabelingJobName is not case sensitive. For example, Example-job and example-job are considered the same labeling job name by Ground Truth.
The name of the labeling job to return information for.
', 'DescribeLabelingJobResponse$LabelingJobName' => 'The name assigned to the labeling job when it was created.
', 'LabelingJobForWorkteamSummary$LabelingJobName' => 'The name of the labeling job that the work team is assigned to.
', 'LabelingJobSummary$LabelingJobName' => 'The name of the labeling job.
', 'StopLabelingJobRequest$LabelingJobName' => 'The name of the labeling job to stop.
', ], ], 'LabelingJobOutput' => [ 'base' => 'Specifies the location of the output produced by the labeling job.
', 'refs' => [ 'DescribeLabelingJobResponse$LabelingJobOutput' => 'The location of the output produced by the labeling job.
', 'LabelingJobSummary$LabelingJobOutput' => 'The location of the output produced by the labeling job.
', ], ], 'LabelingJobOutputConfig' => [ 'base' => 'Output configuration information for a labeling job.
', 'refs' => [ 'CreateLabelingJobRequest$OutputConfig' => 'The location of the output data and the Amazon Web Services Key Management Service key ID for the key used to encrypt the output data, if any.
', 'DescribeLabelingJobResponse$OutputConfig' => 'The location of the job\'s output data and the Amazon Web Services Key Management Service key ID for the key used to encrypt the output data, if any.
', ], ], 'LabelingJobResourceConfig' => [ 'base' => 'Configure encryption on the storage volume attached to the ML compute instance used to run automated data labeling model training and inference.
', 'refs' => [ 'LabelingJobAlgorithmsConfig$LabelingJobResourceConfig' => 'Provides configuration information for a labeling job.
', ], ], 'LabelingJobS3DataSource' => [ 'base' => 'The Amazon S3 location of the input data objects.
', 'refs' => [ 'LabelingJobDataSource$S3DataSource' => 'The Amazon S3 location of the input data objects.
', ], ], 'LabelingJobSnsDataSource' => [ 'base' => 'An Amazon SNS data source used for streaming labeling jobs.
', 'refs' => [ 'LabelingJobDataSource$SnsDataSource' => 'An Amazon SNS data source used for streaming labeling jobs. To learn more, see Send Data to a Streaming Labeling Job.
', ], ], 'LabelingJobStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeLabelingJobResponse$LabelingJobStatus' => 'The processing status of the labeling job.
', 'LabelingJobSummary$LabelingJobStatus' => 'The current status of the labeling job.
', 'ListLabelingJobsRequest$StatusEquals' => 'A filter that retrieves only labeling jobs with a specific status.
', ], ], 'LabelingJobStoppingConditions' => [ 'base' => 'A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.
Labeling jobs fail after 30 days with an appropriate client error message.
A set of conditions for stopping the labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.
', 'DescribeLabelingJobResponse$StoppingConditions' => 'A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped.
', ], ], 'LabelingJobSummary' => [ 'base' => 'Provides summary information about a labeling job.
', 'refs' => [ 'LabelingJobSummaryList$member' => NULL, ], ], 'LabelingJobSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListLabelingJobsResponse$LabelingJobSummaryList' => 'An array of LabelingJobSummary objects, each describing a labeling job.
The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation and to process output data.
For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for AnnotationConsolidationLambdaArn. For custom labeling workflows, see Post-annotation Lambda.
Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.
arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox
arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox
arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox
Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass
arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass
arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass
Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClassMultiLabel
arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClassMultiLabel
Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.
arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation
Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass
arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass
arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass
Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClassMultiLabel
arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClassMultiLabel
Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.
arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition
arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition
arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition
arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition
arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition
arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition
arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition
Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoMultiClass
arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoMultiClass
arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoMultiClass
Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectDetection
Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectTracking
3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectDetection
3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.
arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectTracking
3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.
arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudSemanticSegmentation
Use the following ARNs for Label Verification and Adjustment Jobs
Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .
Semantic Segmentation Adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.
arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentSemanticSegmentation
Semantic Segmentation Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationSemanticSegmentation
Bounding Box Adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.
arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentBoundingBox
Bounding Box Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationBoundingBox
arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationBoundingBox
arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationBoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationBoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationBoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationBoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationBoundingBox
Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.
arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectDetection
Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.
arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectTracking
3D Point Cloud Object Detection Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects in a 3D point cloud.
arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectDetection
3D Point Cloud Object Tracking Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects that appear in a sequence of 3D point cloud frames.
arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectTracking
3D Point Cloud Semantic Segmentation Adjustment - Use this task type when you want workers to adjust a point-level semantic segmentation masks using a paint tool.
arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation
arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudSemanticSegmentation
The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.
For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.
Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.
arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox
arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox
arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox
Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass
arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass
arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass
Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel
Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.
arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation
Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass
arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass
arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass
Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel
Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.
arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition
arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition
arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition
arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition
arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition
arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition
arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition
arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition
Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.
arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass
arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass
arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass
Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection
Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking
3D Point Cloud Modalities
Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.
3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.
arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection
3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.
arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking
3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.
arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation
Use the following ARNs for Label Verification and Adjustment Jobs
Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .
Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox
arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox
arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox
Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.
arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox
Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation
Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.
arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation
Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.
arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection
Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.
arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking
3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.
arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection
arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection
3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.
arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking
arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking
3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.
arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation
The Amazon Resource Name (ARN) of a Lambda function. The function is run before each data object is sent to a worker.
', 'LabelingJobSummary$AnnotationConsolidationLambdaArn' => 'The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers into a label for a data object. For more information, see Annotation Consolidation.
', ], ], 'LambdaStepMetadata' => [ 'base' => 'Metadata for a Lambda step.
', 'refs' => [ 'PipelineExecutionStepMetadata$Lambda' => 'The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution and a list of output parameters.
', ], ], 'LandingUri' => [ 'base' => NULL, 'refs' => [ 'CreatePresignedDomainUrlRequest$LandingUri' => 'The landing page that the user is directed to when accessing the presigned URL. Using this value, users can access Studio or Studio Classic, even if it is not the default experience for the domain. The supported values are:
studio::relative/path: Directs users to the relative path in Studio.
app:JupyterServer:relative/path: Directs users to the relative path in the Studio Classic application.
app:JupyterLab:relative/path: Directs users to the relative path in the JupyterLab application.
app:RStudioServerPro:relative/path: Directs users to the relative path in the RStudio application.
app:CodeEditor:relative/path: Directs users to the relative path in the Code Editor, based on Code-OSS, Visual Studio Code - Open Source application.
app:Canvas:relative/path: Directs users to the relative path in the Canvas application.
The default experience that the user is directed to when accessing the domain. The supported values are:
studio::: Indicates that Studio is the default experience. This value can only be passed if StudioWebPortal is set to ENABLED.
app:JupyterServer:: Indicates that Studio Classic is the default experience.
The date and time that the Git repository was last modified.
', 'CompilationJobSummary$LastModifiedTime' => 'The time when the model compilation job was last modified.
', 'DescribeCodeRepositoryOutput$LastModifiedTime' => 'The date and time that the repository was last changed.
', 'DescribeCompilationJobResponse$LastModifiedTime' => 'The time that the status of the model compilation job was last modified.
', 'DescribeDomainResponse$LastModifiedTime' => 'The last modified time.
', 'DescribeFeatureGroupResponse$LastModifiedTime' => 'A timestamp indicating when the feature group was last updated.
', 'DescribeFeatureMetadataResponse$LastModifiedTime' => 'A timestamp indicating when the metadata for the feature group was modified. For example, if you add a parameter describing the feature, the timestamp changes to reflect the last time you
', 'DescribeInferenceRecommendationsJobResponse$LastModifiedTime' => 'A timestamp that shows when the job was last modified.
', 'DescribeNotebookInstanceLifecycleConfigOutput$LastModifiedTime' => 'A timestamp that tells when the lifecycle configuration was last modified.
', 'DescribeNotebookInstanceOutput$LastModifiedTime' => 'A timestamp. Use this parameter to retrieve the time when the notebook instance was last modified.
', 'DescribeOptimizationJobResponse$LastModifiedTime' => 'The time when the optimization job was last updated.
', 'DescribeSpaceResponse$LastModifiedTime' => 'The last modified time.
', 'DescribeUserProfileResponse$LastModifiedTime' => 'The last modified time.
', 'DomainDetails$LastModifiedTime' => 'The last modified time.
', 'FeatureGroup$LastModifiedTime' => 'A timestamp indicating the last time you updated the feature group.
', 'FeatureMetadata$LastModifiedTime' => 'A timestamp indicating when the feature was last modified.
', 'InferenceRecommendationsJob$LastModifiedTime' => 'A timestamp that shows when the job was last modified.
', 'ListCompilationJobsRequest$LastModifiedTimeAfter' => 'A filter that returns the model compilation jobs that were modified after a specified time.
', 'ListCompilationJobsRequest$LastModifiedTimeBefore' => 'A filter that returns the model compilation jobs that were modified before a specified time.
', 'ListInferenceRecommendationsJobsRequest$LastModifiedTimeAfter' => 'A filter that returns only jobs that were last modified after the specified time (timestamp).
', 'ListInferenceRecommendationsJobsRequest$LastModifiedTimeBefore' => 'A filter that returns only jobs that were last modified before the specified time (timestamp).
', 'ListNotebookInstanceLifecycleConfigsInput$LastModifiedTimeBefore' => 'A filter that returns only lifecycle configurations that were modified before the specified time (timestamp).
', 'ListNotebookInstanceLifecycleConfigsInput$LastModifiedTimeAfter' => 'A filter that returns only lifecycle configurations that were modified after the specified time (timestamp).
', 'ListNotebookInstancesInput$LastModifiedTimeBefore' => 'A filter that returns only notebook instances that were modified before the specified time (timestamp).
', 'ListNotebookInstancesInput$LastModifiedTimeAfter' => 'A filter that returns only notebook instances that were modified after the specified time (timestamp).
', 'ListOptimizationJobsRequest$LastModifiedTimeAfter' => 'Filters the results to only those optimization jobs that were updated after the specified time.
', 'ListOptimizationJobsRequest$LastModifiedTimeBefore' => 'Filters the results to only those optimization jobs that were updated before the specified time.
', 'NotebookInstanceLifecycleConfigSummary$LastModifiedTime' => 'A timestamp that tells when the lifecycle configuration was last modified.
', 'NotebookInstanceSummary$LastModifiedTime' => 'A timestamp that shows when the notebook instance was last modified.
', 'OptimizationJobSummary$LastModifiedTime' => 'The time when the optimization job was last updated.
', 'SpaceDetails$LastModifiedTime' => 'The last modified time.
', 'UserProfileDetails$LastModifiedTime' => 'The last modified time.
', ], ], 'LastUpdateStatus' => [ 'base' => 'A value that indicates whether the update was successful.
', 'refs' => [ 'DescribeFeatureGroupResponse$LastUpdateStatus' => 'A value indicating whether the update made to the feature group was successful.
', 'FeatureGroup$LastUpdateStatus' => 'A value that indicates whether the feature group was updated successfully.
', ], ], 'LastUpdateStatusValue' => [ 'base' => NULL, 'refs' => [ 'LastUpdateStatus$Status' => 'A value that indicates whether the update was made successful.
', ], ], 'LifecycleConfigArns' => [ 'base' => NULL, 'refs' => [ 'CodeEditorAppSettings$LifecycleConfigArns' => 'The Amazon Resource Name (ARN) of the Code Editor application lifecycle configuration.
', 'JupyterLabAppSettings$LifecycleConfigArns' => 'The Amazon Resource Name (ARN) of the lifecycle configurations attached to the user profile or domain. To remove a lifecycle config, you must set LifecycleConfigArns to an empty list.
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp. If you use this parameter, the DefaultResourceSpec parameter is also required.
To remove a Lifecycle Config, you must set LifecycleConfigArns to an empty list.
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.
To remove a Lifecycle Config, you must set LifecycleConfigArns to an empty list.
Indicates whether idle shutdown is activated for the application type.
', ], ], 'LineageEntityParameters' => [ 'base' => NULL, 'refs' => [ 'CreateActionRequest$Properties' => 'A list of properties to add to the action.
', 'CreateContextRequest$Properties' => 'A list of properties to add to the context.
', 'DescribeActionResponse$Properties' => 'A list of the action\'s properties.
', 'DescribeArtifactResponse$Properties' => 'A list of the artifact\'s properties.
', 'DescribeContextResponse$Properties' => 'A list of the context\'s properties.
', 'UpdateActionRequest$Properties' => 'The new list of properties. Overwrites the current property list.
', 'UpdateContextRequest$Properties' => 'The new list of properties. Overwrites the current property list.
', ], ], 'LineageGroupArn' => [ 'base' => NULL, 'refs' => [ 'DescribeActionResponse$LineageGroupArn' => 'The Amazon Resource Name (ARN) of the lineage group.
', 'DescribeArtifactResponse$LineageGroupArn' => 'The Amazon Resource Name (ARN) of the lineage group.
', 'DescribeContextResponse$LineageGroupArn' => 'The Amazon Resource Name (ARN) of the lineage group.
', 'DescribeLineageGroupResponse$LineageGroupArn' => 'The Amazon Resource Name (ARN) of the lineage group.
', 'DescribeTrialComponentResponse$LineageGroupArn' => 'The Amazon Resource Name (ARN) of the lineage group.
', 'GetLineageGroupPolicyResponse$LineageGroupArn' => 'The Amazon Resource Name (ARN) of the lineage group.
', 'LineageGroupSummary$LineageGroupArn' => 'The Amazon Resource Name (ARN) of the lineage group resource.
', 'TrialComponent$LineageGroupArn' => 'The Amazon Resource Name (ARN) of the lineage group resource.
', ], ], 'LineageGroupNameOrArn' => [ 'base' => NULL, 'refs' => [ 'GetLineageGroupPolicyRequest$LineageGroupName' => 'The name or Amazon Resource Name (ARN) of the lineage group.
', ], ], 'LineageGroupSummaries' => [ 'base' => NULL, 'refs' => [ 'ListLineageGroupsResponse$LineageGroupSummaries' => 'A list of lineage groups and their properties.
', ], ], 'LineageGroupSummary' => [ 'base' => 'Lists a summary of the properties of a lineage group. A lineage group provides a group of shareable lineage entity resources.
', 'refs' => [ 'LineageGroupSummaries$member' => NULL, ], ], 'LineageType' => [ 'base' => NULL, 'refs' => [ 'QueryLineageTypes$member' => NULL, 'Vertex$LineageType' => 'The type of resource of the lineage entity.
', ], ], 'ListActionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListActionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListAlgorithmsInput' => [ 'base' => NULL, 'refs' => [], ], 'ListAlgorithmsOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListAliasesRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListAliasesResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListAppImageConfigsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListAppImageConfigsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListAppsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListAppsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListArtifactsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListArtifactsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListAssociationsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListAssociationsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListAutoMLJobsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListAutoMLJobsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListCandidatesForAutoMLJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListCandidatesForAutoMLJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListClusterNodesRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListClusterNodesResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListClusterSchedulerConfigsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListClusterSchedulerConfigsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListClustersRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListClustersResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListCodeRepositoriesInput' => [ 'base' => NULL, 'refs' => [], ], 'ListCodeRepositoriesOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListCompilationJobsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListCompilationJobsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListCompilationJobsSortBy' => [ 'base' => NULL, 'refs' => [ 'ListCompilationJobsRequest$SortBy' => 'The field by which to sort results. The default is CreationTime.
The column to sort by.
', ], ], 'ListDevicesRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListDevicesResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListDomainsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListDomainsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListEdgeDeploymentPlansRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListEdgeDeploymentPlansResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListEdgeDeploymentPlansSortBy' => [ 'base' => NULL, 'refs' => [ 'ListEdgeDeploymentPlansRequest$SortBy' => 'The column by which to sort the edge deployment plans. Can be one of NAME, DEVICEFLEETNAME, CREATIONTIME, LASTMODIFIEDTIME.
Use to specify what column to sort by.
', ], ], 'ListEndpointConfigsInput' => [ 'base' => NULL, 'refs' => [], ], 'ListEndpointConfigsOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListEndpointsInput' => [ 'base' => NULL, 'refs' => [], ], 'ListEndpointsOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListExperimentsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListExperimentsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListFeatureGroupsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListFeatureGroupsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListFlowDefinitionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListFlowDefinitionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListHubContentVersionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListHubContentVersionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListHubContentsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListHubContentsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListHubsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListHubsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListHumanTaskUisRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListHumanTaskUisResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListHyperParameterTuningJobsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListHyperParameterTuningJobsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListImageVersionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListImageVersionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListImagesRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListImagesResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceComponentsInput' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceComponentsOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceExperimentsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceExperimentsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceRecommendationsJobStepsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceRecommendationsJobStepsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceRecommendationsJobsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceRecommendationsJobsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListInferenceRecommendationsJobsSortBy' => [ 'base' => NULL, 'refs' => [ 'ListInferenceRecommendationsJobsRequest$SortBy' => 'The parameter by which to sort the results.
', ], ], 'ListLabelingJobsForWorkteamRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListLabelingJobsForWorkteamResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListLabelingJobsForWorkteamSortByOptions' => [ 'base' => NULL, 'refs' => [ 'ListLabelingJobsForWorkteamRequest$SortBy' => 'The field to sort results by. The default is CreationTime.
A list of properties to remove.
', 'UpdateArtifactRequest$PropertiesToRemove' => 'A list of properties to remove.
', 'UpdateContextRequest$PropertiesToRemove' => 'A list of properties to remove.
', ], ], 'ListLineageGroupsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListLineageGroupsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListMaxResults' => [ 'base' => NULL, 'refs' => [ 'ListDeviceFleetsRequest$MaxResults' => 'The maximum number of results to select.
', 'ListDevicesRequest$MaxResults' => 'Maximum number of results to select.
', 'ListEdgeDeploymentPlansRequest$MaxResults' => 'The maximum number of results to select (50 by default).
', 'ListEdgePackagingJobsRequest$MaxResults' => 'Maximum number of results to select.
', 'ListStageDevicesRequest$MaxResults' => 'The maximum number of requests to select.
', ], ], 'ListMlflowTrackingServersRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListMlflowTrackingServersResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListModelBiasJobDefinitionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListModelBiasJobDefinitionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListModelCardExportJobsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListModelCardExportJobsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListModelCardVersionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListModelCardVersionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListModelCardsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListModelCardsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListModelExplainabilityJobDefinitionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListModelExplainabilityJobDefinitionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListModelMetadataRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListModelMetadataResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListModelPackageGroupsInput' => [ 'base' => NULL, 'refs' => [], ], 'ListModelPackageGroupsOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListModelPackagesInput' => [ 'base' => NULL, 'refs' => [], ], 'ListModelPackagesOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListModelQualityJobDefinitionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListModelQualityJobDefinitionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListModelsInput' => [ 'base' => NULL, 'refs' => [], ], 'ListModelsOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListMonitoringAlertHistoryRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListMonitoringAlertHistoryResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListMonitoringAlertsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListMonitoringAlertsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListMonitoringExecutionsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListMonitoringExecutionsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListMonitoringSchedulesRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListMonitoringSchedulesResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListNotebookInstanceLifecycleConfigsInput' => [ 'base' => NULL, 'refs' => [], ], 'ListNotebookInstanceLifecycleConfigsOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListNotebookInstancesInput' => [ 'base' => NULL, 'refs' => [], ], 'ListNotebookInstancesOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListOptimizationJobsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListOptimizationJobsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListOptimizationJobsSortBy' => [ 'base' => NULL, 'refs' => [ 'ListOptimizationJobsRequest$SortBy' => 'The field by which to sort the optimization jobs in the response. The default is CreationTime
Maximum number of tags to return.
', ], ], 'ListTagsOutput' => [ 'base' => NULL, 'refs' => [], ], 'ListTrainingJobsForHyperParameterTuningJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListTrainingJobsForHyperParameterTuningJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListTrainingJobsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListTrainingJobsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListTrainingPlansRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListTrainingPlansResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListTransformJobsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListTransformJobsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListTrialComponentKey256' => [ 'base' => NULL, 'refs' => [ 'UpdateTrialComponentRequest$ParametersToRemove' => 'The hyperparameters to remove from the component.
', 'UpdateTrialComponentRequest$InputArtifactsToRemove' => 'The input artifacts to remove from the component.
', 'UpdateTrialComponentRequest$OutputArtifactsToRemove' => 'The output artifacts to remove from the component.
', ], ], 'ListTrialComponentsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListTrialComponentsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListTrialsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListTrialsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListUserProfilesRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListUserProfilesResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListWorkforcesRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListWorkforcesResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListWorkforcesSortByOptions' => [ 'base' => NULL, 'refs' => [ 'ListWorkforcesRequest$SortBy' => 'Sort workforces using the workforce name or creation date.
', ], ], 'ListWorkteamsRequest' => [ 'base' => NULL, 'refs' => [], ], 'ListWorkteamsResponse' => [ 'base' => NULL, 'refs' => [], ], 'ListWorkteamsSortByOptions' => [ 'base' => NULL, 'refs' => [ 'ListWorkteamsRequest$SortBy' => 'The field to sort results by. The default is CreationTime.
The number of Edge Manager agents.
', 'DeviceStats$ConnectedDeviceCount' => 'The number of devices connected with a heartbeat.
', 'DeviceStats$RegisteredDeviceCount' => 'The number of registered devices.
', 'EdgeModelStat$OfflineDeviceCount' => 'The number of devices that have this model version and do not have a heart beat.
', 'EdgeModelStat$ConnectedDeviceCount' => 'The number of devices that have this model version and have a heart beat.
', 'EdgeModelStat$ActiveDeviceCount' => 'The number of devices that have this model version, a heart beat, and are currently running.
', 'EdgeModelStat$SamplingDeviceCount' => 'The number of devices with this model version and are producing sample data.
', ], ], 'MLFramework' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionRequest$MLFramework' => 'The machine learning framework vended in the image version.
', 'DescribeImageVersionResponse$MLFramework' => 'The machine learning framework vended in the image version.
', 'UpdateImageVersionRequest$MLFramework' => 'The machine learning framework vended in the image version.
', ], ], 'ManagedInstanceScalingMaxInstanceCount' => [ 'base' => NULL, 'refs' => [ 'ProductionVariantManagedInstanceScaling$MaxInstanceCount' => 'The maximum number of instances that the endpoint can provision when it scales up to accommodate an increase in traffic.
', ], ], 'ManagedInstanceScalingMinInstanceCount' => [ 'base' => NULL, 'refs' => [ 'ProductionVariantManagedInstanceScaling$MinInstanceCount' => 'The minimum number of instances that the endpoint must retain when it scales down to accommodate a decrease in traffic.
', ], ], 'ManagedInstanceScalingStatus' => [ 'base' => NULL, 'refs' => [ 'ProductionVariantManagedInstanceScaling$Status' => 'Indicates whether managed instance scaling is enabled.
', ], ], 'MaxAutoMLJobRuntimeInSeconds' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobCompletionCriteria$MaxAutoMLJobRuntimeInSeconds' => 'The maximum runtime, in seconds, an AutoML job has to complete.
If an AutoML job exceeds the maximum runtime, the job is stopped automatically and its processing is ended gracefully. The AutoML job identifies the best model whose training was completed and marks it as the best-performing model. Any unfinished steps of the job, such as automatic one-click Autopilot model deployment, are not completed.
', ], ], 'MaxCandidates' => [ 'base' => NULL, 'refs' => [ 'AutoMLJobCompletionCriteria$MaxCandidates' => 'The maximum number of times a training job is allowed to run.
For text and image classification, time-series forecasting, as well as text generation (LLMs fine-tuning) problem types, the supported value is 1. For tabular problem types, the maximum value is 750.
', ], ], 'MaxConcurrentInvocationsPerInstance' => [ 'base' => NULL, 'refs' => [ 'AsyncInferenceClientConfig$MaxConcurrentInvocationsPerInstance' => 'The maximum number of concurrent requests sent by the SageMaker client to the model container. If no value is provided, SageMaker chooses an optimal value.
', ], ], 'MaxConcurrentTaskCount' => [ 'base' => NULL, 'refs' => [ 'HumanTaskConfig$MaxConcurrentTaskCount' => 'Defines the maximum number of data objects that can be labeled by human workers at the same time. Also referred to as batch size. Each object may have more than one worker at one time. The default value is 1000 objects. To increase the maximum value to 5000 objects, contact Amazon Web Services Support.
', ], ], 'MaxConcurrentTransforms' => [ 'base' => NULL, 'refs' => [ 'CreateTransformJobRequest$MaxConcurrentTransforms' => 'The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, Amazon SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For more information on execution-parameters, see How Containers Serve Requests. For built-in algorithms, you don\'t need to set a value for MaxConcurrentTransforms.
The maximum number of parallel requests on each instance node that can be launched in a transform job. The default value is 1.
', 'TransformJob$MaxConcurrentTransforms' => 'The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For built-in algorithms, you don\'t need to set a value for MaxConcurrentTransforms.
The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.
', ], ], 'MaxHumanLabeledObjectCount' => [ 'base' => NULL, 'refs' => [ 'LabelingJobStoppingConditions$MaxHumanLabeledObjectCount' => 'The maximum number of objects that can be labeled by human workers.
', ], ], 'MaxNumberOfTests' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobResourceLimit$MaxNumberOfTests' => 'Defines the maximum number of load tests.
', ], ], 'MaxNumberOfTrainingJobs' => [ 'base' => NULL, 'refs' => [ 'ResourceLimits$MaxNumberOfTrainingJobs' => 'The maximum number of training jobs that a hyperparameter tuning job can launch.
', ], ], 'MaxNumberOfTrainingJobsNotImproving' => [ 'base' => NULL, 'refs' => [ 'BestObjectiveNotImproving$MaxNumberOfTrainingJobsNotImproving' => 'The number of training jobs that have failed to improve model performance by 1% or greater over prior training jobs as evaluated against an objective function.
', ], ], 'MaxParallelExecutionSteps' => [ 'base' => NULL, 'refs' => [ 'ParallelismConfiguration$MaxParallelExecutionSteps' => 'The max number of steps that can be executed in parallel.
', ], ], 'MaxParallelOfTests' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobResourceLimit$MaxParallelOfTests' => 'Defines the maximum number of parallel load tests.
', ], ], 'MaxParallelTrainingJobs' => [ 'base' => NULL, 'refs' => [ 'ResourceLimits$MaxParallelTrainingJobs' => 'The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.
', ], ], 'MaxPayloadInMB' => [ 'base' => NULL, 'refs' => [ 'CreateTransformJobRequest$MaxPayloadInMB' => 'The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB.
The value of MaxPayloadInMB cannot be greater than 100 MB. If you specify the MaxConcurrentTransforms parameter, the value of (MaxConcurrentTransforms * MaxPayloadInMB) also cannot exceed 100 MB.
For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, Amazon SageMaker built-in algorithms do not support HTTP chunked encoding.
The maximum payload size, in MB, used in the transform job.
', 'TransformJob$MaxPayloadInMB' => 'The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB. For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, SageMaker built-in algorithms do not support HTTP chunked encoding.
The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).
', ], ], 'MaxPendingTimeInSeconds' => [ 'base' => 'Maximum job scheduler pending time in seconds.', 'refs' => [ 'StoppingCondition$MaxPendingTimeInSeconds' => 'The maximum length of time, in seconds, that a training or compilation job can be pending before it is stopped.
', ], ], 'MaxPercentageOfInputDatasetLabeled' => [ 'base' => NULL, 'refs' => [ 'LabelingJobStoppingConditions$MaxPercentageOfInputDatasetLabeled' => 'The maximum number of input data objects that should be labeled.
', ], ], 'MaxResults' => [ 'base' => NULL, 'refs' => [ 'ListActionsRequest$MaxResults' => 'The maximum number of actions to return in the response. The default value is 10.
', 'ListAlgorithmsInput$MaxResults' => 'The maximum number of algorithms to return in the response.
', 'ListAliasesRequest$MaxResults' => 'The maximum number of aliases to return.
', 'ListAppImageConfigsRequest$MaxResults' => 'The total number of items to return in the response. If the total number of items available is more than the value specified, a NextToken is provided in the response. To resume pagination, provide the NextToken value in the as part of a subsequent call. The default value is 10.
This parameter defines the maximum number of results that can be return in a single response. The MaxResults parameter is an upper bound, not a target. If there are more results available than the value specified, a NextToken is provided in the response. The NextToken indicates that the user should get the next set of results by providing this token as a part of a subsequent call. The default value for MaxResults is 10.
The maximum number of artifacts to return in the response. The default value is 10.
', 'ListAssociationsRequest$MaxResults' => 'The maximum number of associations to return in the response. The default value is 10.
', 'ListClusterNodesRequest$MaxResults' => 'The maximum number of nodes to return in the response.
', 'ListClusterSchedulerConfigsRequest$MaxResults' => 'The maximum number of cluster policies to list.
', 'ListClustersRequest$MaxResults' => 'Set the maximum number of SageMaker HyperPod clusters to list.
', 'ListCodeRepositoriesInput$MaxResults' => 'The maximum number of Git repositories to return in the response.
', 'ListCompilationJobsRequest$MaxResults' => 'The maximum number of model compilation jobs to return in the response.
', 'ListComputeQuotasRequest$MaxResults' => 'The maximum number of compute allocation definitions to list.
', 'ListContextsRequest$MaxResults' => 'The maximum number of contexts to return in the response. The default value is 10.
', 'ListDataQualityJobDefinitionsRequest$MaxResults' => 'The maximum number of data quality monitoring job definitions to return in the response.
', 'ListDomainsRequest$MaxResults' => 'This parameter defines the maximum number of results that can be return in a single response. The MaxResults parameter is an upper bound, not a target. If there are more results available than the value specified, a NextToken is provided in the response. The NextToken indicates that the user should get the next set of results by providing this token as a part of a subsequent call. The default value for MaxResults is 10.
The maximum number of training jobs to return in the response.
', 'ListEndpointsInput$MaxResults' => 'The maximum number of endpoints to return in the response. This value defaults to 10.
', 'ListExperimentsRequest$MaxResults' => 'The maximum number of experiments to return in the response. The default value is 10.
', 'ListFlowDefinitionsRequest$MaxResults' => 'The total number of items to return. If the total number of available items is more than the value specified in MaxResults, then a NextToken will be provided in the output that you can use to resume pagination.
The maximum number of hub content versions to list.
', 'ListHubContentsRequest$MaxResults' => 'The maximum amount of hub content to list.
', 'ListHubsRequest$MaxResults' => 'The maximum number of hubs to list.
', 'ListHumanTaskUisRequest$MaxResults' => 'The total number of items to return. If the total number of available items is more than the value specified in MaxResults, then a NextToken will be provided in the output that you can use to resume pagination.
The maximum number of tuning jobs to return. The default value is 10.
', 'ListImageVersionsRequest$MaxResults' => 'The maximum number of versions to return in the response. The default value is 10.
', 'ListImagesRequest$MaxResults' => 'The maximum number of images to return in the response. The default value is 10.
', 'ListInferenceComponentsInput$MaxResults' => 'The maximum number of inference components to return in the response. This value defaults to 10.
', 'ListInferenceExperimentsRequest$MaxResults' => 'The maximum number of results to select.
', 'ListInferenceRecommendationsJobStepsRequest$MaxResults' => 'The maximum number of results to return.
', 'ListInferenceRecommendationsJobsRequest$MaxResults' => 'The maximum number of recommendations to return in the response.
', 'ListLabelingJobsForWorkteamRequest$MaxResults' => 'The maximum number of labeling jobs to return in each page of the response.
', 'ListLabelingJobsRequest$MaxResults' => 'The maximum number of labeling jobs to return in each page of the response.
', 'ListLineageGroupsRequest$MaxResults' => 'The maximum number of endpoints to return in the response. This value defaults to 10.
', 'ListMlflowTrackingServersRequest$MaxResults' => 'The maximum number of tracking servers to list.
', 'ListModelBiasJobDefinitionsRequest$MaxResults' => 'The maximum number of model bias jobs to return in the response. The default value is 10.
', 'ListModelCardExportJobsRequest$MaxResults' => 'The maximum number of model card export jobs to list.
', 'ListModelCardVersionsRequest$MaxResults' => 'The maximum number of model card versions to list.
', 'ListModelCardsRequest$MaxResults' => 'The maximum number of model cards to list.
', 'ListModelExplainabilityJobDefinitionsRequest$MaxResults' => 'The maximum number of jobs to return in the response. The default value is 10.
', 'ListModelMetadataRequest$MaxResults' => 'The maximum number of models to return in the response.
', 'ListModelPackageGroupsInput$MaxResults' => 'The maximum number of results to return in the response.
', 'ListModelPackagesInput$MaxResults' => 'The maximum number of model packages to return in the response.
', 'ListModelQualityJobDefinitionsRequest$MaxResults' => 'The maximum number of results to return in a call to ListModelQualityJobDefinitions.
The maximum number of models to return in the response.
', 'ListMonitoringAlertHistoryRequest$MaxResults' => 'The maximum number of results to display. The default is 100.
', 'ListMonitoringAlertsRequest$MaxResults' => 'The maximum number of results to display. The default is 100.
', 'ListMonitoringExecutionsRequest$MaxResults' => 'The maximum number of jobs to return in the response. The default value is 10.
', 'ListMonitoringSchedulesRequest$MaxResults' => 'The maximum number of jobs to return in the response. The default value is 10.
', 'ListNotebookInstanceLifecycleConfigsInput$MaxResults' => 'The maximum number of lifecycle configurations to return in the response.
', 'ListNotebookInstancesInput$MaxResults' => 'The maximum number of notebook instances to return.
', 'ListOptimizationJobsRequest$MaxResults' => 'The maximum number of optimization jobs to return in the response. The default is 50.
', 'ListPartnerAppsRequest$MaxResults' => 'This parameter defines the maximum number of results that can be returned in a single response. The MaxResults parameter is an upper bound, not a target. If there are more results available than the value specified, a NextToken is provided in the response. The NextToken indicates that the user should get the next set of results by providing this token as a part of a subsequent call. The default value for MaxResults is 10.
The maximum number of pipeline execution steps to return in the response.
', 'ListPipelineExecutionsRequest$MaxResults' => 'The maximum number of pipeline executions to return in the response.
', 'ListPipelineParametersForExecutionRequest$MaxResults' => 'The maximum number of parameters to return in the response.
', 'ListPipelinesRequest$MaxResults' => 'The maximum number of pipelines to return in the response.
', 'ListProcessingJobsRequest$MaxResults' => 'The maximum number of processing jobs to return in the response.
', 'ListProjectsInput$MaxResults' => 'The maximum number of projects to return in the response.
', 'ListResourceCatalogsRequest$MaxResults' => ' The maximum number of results returned by ListResourceCatalogs.
This parameter defines the maximum number of results that can be return in a single response. The MaxResults parameter is an upper bound, not a target. If there are more results available than the value specified, a NextToken is provided in the response. The NextToken indicates that the user should get the next set of results by providing this token as a part of a subsequent call. The default value for MaxResults is 10.
The total number of items to return in the response. If the total number of items available is more than the value specified, a NextToken is provided in the response. To resume pagination, provide the NextToken value in the as part of a subsequent call. The default value is 10.
The maximum number of work teams to return in each page of the response.
', 'ListTrainingJobsForHyperParameterTuningJobRequest$MaxResults' => 'The maximum number of training jobs to return. The default value is 10.
', 'ListTrainingJobsRequest$MaxResults' => 'The maximum number of training jobs to return in the response.
', 'ListTrainingPlansRequest$MaxResults' => 'The maximum number of results to return in the response.
', 'ListTransformJobsRequest$MaxResults' => 'The maximum number of transform jobs to return in the response. The default value is 10.
The maximum number of components to return in the response. The default value is 10.
', 'ListTrialsRequest$MaxResults' => 'The maximum number of trials to return in the response. The default value is 10.
', 'ListUserProfilesRequest$MaxResults' => 'This parameter defines the maximum number of results that can be return in a single response. The MaxResults parameter is an upper bound, not a target. If there are more results available than the value specified, a NextToken is provided in the response. The NextToken indicates that the user should get the next set of results by providing this token as a part of a subsequent call. The default value for MaxResults is 10.
The maximum number of workforces returned in the response.
', 'ListWorkteamsRequest$MaxResults' => 'The maximum number of work teams to return in each page of the response.
', 'SearchRequest$MaxResults' => 'The maximum number of results to return.
', ], ], 'MaxRuntimeInSeconds' => [ 'base' => NULL, 'refs' => [ 'StoppingCondition$MaxRuntimeInSeconds' => 'The maximum length of time, in seconds, that a training or compilation job can run before it is stopped.
For compilation jobs, if the job does not complete during this time, a TimeOut error is generated. We recommend starting with 900 seconds and increasing as necessary based on your model.
For all other jobs, if the job does not complete during this time, SageMaker ends the job. When RetryStrategy is specified in the job request, MaxRuntimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt. The default value is 1 day. The maximum value is 28 days.
The maximum time that a TrainingJob can run in total, including any time spent publishing metrics or archiving and uploading models after it has been stopped, is 30 days.
The maximum time, in seconds, that each training job executed inside hyperparameter tuning is allowed to run as part of a hyperparameter tuning job. For more information, see the StoppingCondition used by the CreateHyperParameterTuningJob action.
For job V2s (jobs created by calling CreateAutoMLJobV2), this field controls the runtime of the job candidate.
For TextGenerationJobConfig problem types, the maximum time defaults to 72 hours (259200 seconds).
', ], ], 'MaxWaitTimeInSeconds' => [ 'base' => NULL, 'refs' => [ 'StoppingCondition$MaxWaitTimeInSeconds' => 'The maximum length of time, in seconds, that a managed Spot training job has to complete. It is the amount of time spent waiting for Spot capacity plus the amount of time the job can run. It must be equal to or greater than MaxRuntimeInSeconds. If the job does not complete during this time, SageMaker ends the job.
When RetryStrategy is specified in the job request, MaxWaitTimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt.
Maximum execution timeout for the deployment. Note that the timeout value should be larger than the total waiting time specified in TerminationWaitInSeconds and WaitIntervalInSeconds.
The time limit for the total deployment. Exceeding this limit causes a timeout.
', ], ], 'MaximumRetryAttempts' => [ 'base' => NULL, 'refs' => [ 'RetryStrategy$MaximumRetryAttempts' => 'The number of times to retry the job. When the job is retried, it\'s SecondaryStatus is changed to STARTING.
The media type of the artifact, which indicates the type of data in the artifact file. The media type consists of a type and a subtype concatenated with a slash (/) character, for example, text/csv, image/jpeg, and s3/uri. The type specifies the category of the media. The subtype specifies the kind of data.
', ], ], 'MemberDefinition' => [ 'base' => 'Defines an Amazon Cognito or your own OIDC IdP user group that is part of a work team.
', 'refs' => [ 'MemberDefinitions$member' => NULL, ], ], 'MemberDefinitions' => [ 'base' => NULL, 'refs' => [ 'CreateWorkteamRequest$MemberDefinitions' => 'A list of MemberDefinition objects that contains objects that identify the workers that make up the work team.
Workforces can be created using Amazon Cognito or your own OIDC Identity Provider (IdP). For private workforces created using Amazon Cognito use CognitoMemberDefinition. For workforces created using your own OIDC identity provider (IdP) use OidcMemberDefinition. Do not provide input for both of these parameters in a single request.
For workforces created using Amazon Cognito, private work teams correspond to Amazon Cognito user groups within the user pool used to create a workforce. All of the CognitoMemberDefinition objects that make up the member definition must have the same ClientId and UserPool values. To add a Amazon Cognito user group to an existing worker pool, see Adding groups to a User Pool. For more information about user pools, see Amazon Cognito User Pools.
For workforces created using your own OIDC IdP, specify the user groups that you want to include in your private work team in OidcMemberDefinition by listing those groups in Groups.
A list of MemberDefinition objects that contains objects that identify the workers that make up the work team.
Workforces can be created using Amazon Cognito or your own OIDC Identity Provider (IdP). For private workforces created using Amazon Cognito use CognitoMemberDefinition. For workforces created using your own OIDC identity provider (IdP) use OidcMemberDefinition. You should not provide input for both of these parameters in a single request.
For workforces created using Amazon Cognito, private work teams correspond to Amazon Cognito user groups within the user pool used to create a workforce. All of the CognitoMemberDefinition objects that make up the member definition must have the same ClientId and UserPool values. To add a Amazon Cognito user group to an existing worker pool, see Adding groups to a User Pool. For more information about user pools, see Amazon Cognito User Pools.
For workforces created using your own OIDC IdP, specify the user groups that you want to include in your private work team in OidcMemberDefinition by listing those groups in Groups. Be aware that user groups that are already in the work team must also be listed in Groups when you make this request to remain on the work team. If you do not include these user groups, they will no longer be associated with the work team you update.
A list of MemberDefinition objects that contains objects that identify the workers that make up the work team.
Workforces can be created using Amazon Cognito or your own OIDC Identity Provider (IdP). For private workforces created using Amazon Cognito use CognitoMemberDefinition. For workforces created using your own OIDC identity provider (IdP) use OidcMemberDefinition.
The minimum MB of memory to allocate to run a model that you assign to an inference component.
', 'InferenceComponentComputeResourceRequirements$MaxMemoryRequiredInMb' => 'The maximum MB of memory to allocate to run a model that you assign to an inference component.
', ], ], 'MetadataProperties' => [ 'base' => 'Metadata properties of the tracking entity, trial, or trial component.
', 'refs' => [ 'CreateActionRequest$MetadataProperties' => NULL, 'CreateArtifactRequest$MetadataProperties' => NULL, 'CreateModelPackageInput$MetadataProperties' => NULL, 'CreateTrialComponentRequest$MetadataProperties' => NULL, 'CreateTrialRequest$MetadataProperties' => NULL, 'DescribeActionResponse$MetadataProperties' => NULL, 'DescribeArtifactResponse$MetadataProperties' => NULL, 'DescribeModelPackageOutput$MetadataProperties' => NULL, 'DescribeTrialComponentResponse$MetadataProperties' => NULL, 'DescribeTrialResponse$MetadataProperties' => NULL, 'ModelPackage$MetadataProperties' => 'Metadata properties of the tracking entity, trial, or trial component.
', 'Trial$MetadataProperties' => NULL, 'TrialComponent$MetadataProperties' => NULL, ], ], 'MetadataPropertyValue' => [ 'base' => NULL, 'refs' => [ 'MetadataProperties$CommitId' => 'The commit ID.
', 'MetadataProperties$Repository' => 'The repository.
', 'MetadataProperties$GeneratedBy' => 'The entity this entity was generated by.
', 'MetadataProperties$ProjectId' => 'The project ID.
', ], ], 'MetricData' => [ 'base' => 'The name, value, and date and time of a metric that was emitted to Amazon CloudWatch.
', 'refs' => [ 'FinalMetricDataList$member' => NULL, ], ], 'MetricDataList' => [ 'base' => NULL, 'refs' => [ 'CandidateProperties$CandidateMetrics' => 'Information about the candidate metrics for an AutoML job.
', ], ], 'MetricDatum' => [ 'base' => 'Information about the metric for a candidate produced by an AutoML job.
', 'refs' => [ 'MetricDataList$member' => NULL, ], ], 'MetricDefinition' => [ 'base' => 'Specifies a metric that the training algorithm writes to stderr or stdout. You can view these logs to understand how your training job performs and check for any errors encountered during training. SageMaker hyperparameter tuning captures all defined metrics. Specify one of the defined metrics to use as an objective metric using the TuningObjective parameter in the HyperParameterTrainingJobDefinition API to evaluate job performance during hyperparameter tuning.
A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. SageMaker publishes each metric to Amazon CloudWatch.
', 'HyperParameterAlgorithmSpecification$MetricDefinitions' => 'An array of MetricDefinition objects that specify the metrics that the algorithm emits.
', 'TrainingSpecification$MetricDefinitions' => 'A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
The name of the objective metric. For SageMaker built-in algorithms, metrics are defined per algorithm. See the metrics for XGBoost as an example. You can also use a custom algorithm for training and define your own metrics. For more information, see Define metrics and environment variables.
', 'HyperParameterTuningJobObjective$MetricName' => 'The name of the metric to use for the objective metric.
', 'MetricData$MetricName' => 'The name of the metric.
', 'MetricDefinition$Name' => 'The name of the metric.
', 'TrialComponentMetricSummary$MetricName' => 'The name of the metric.
', ], ], 'MetricRegex' => [ 'base' => NULL, 'refs' => [ 'MetricDefinition$Regex' => 'A regular expression that searches the output of a training job and gets the value of the metric. For more information about using regular expressions to define metrics, see Defining metrics and environment variables.
', ], ], 'MetricSetSource' => [ 'base' => NULL, 'refs' => [ 'MetricDatum$Set' => 'The dataset split from which the AutoML job produced the metric.
', ], ], 'MetricSpecification' => [ 'base' => 'An object containing information about a metric.
', 'refs' => [ 'TargetTrackingScalingPolicyConfiguration$MetricSpecification' => 'An object containing information about a metric.
', ], ], 'MetricValue' => [ 'base' => NULL, 'refs' => [ 'FinalAutoMLJobObjectiveMetric$Value' => 'The value of the metric with the best result.
', 'FinalHyperParameterTuningJobObjectiveMetric$Value' => 'The value of the objective metric.
', ], ], 'MetricsSource' => [ 'base' => 'Details about the metrics source.
', 'refs' => [ 'Bias$Report' => 'The bias report for a model
', 'Bias$PreTrainingReport' => 'The pre-training bias report for a model.
', 'Bias$PostTrainingReport' => 'The post-training bias report for a model.
', 'DriftCheckBias$PreTrainingConstraints' => 'The pre-training constraints.
', 'DriftCheckBias$PostTrainingConstraints' => 'The post-training constraints.
', 'DriftCheckExplainability$Constraints' => 'The drift check explainability constraints.
', 'DriftCheckModelDataQuality$Statistics' => 'The drift check model data quality statistics.
', 'DriftCheckModelDataQuality$Constraints' => 'The drift check model data quality constraints.
', 'DriftCheckModelQuality$Statistics' => 'The drift check model quality statistics.
', 'DriftCheckModelQuality$Constraints' => 'The drift check model quality constraints.
', 'Explainability$Report' => 'The explainability report for a model.
', 'ModelDataQuality$Statistics' => 'Data quality statistics for a model.
', 'ModelDataQuality$Constraints' => 'Data quality constraints for a model.
', 'ModelQuality$Statistics' => 'Model quality statistics.
', 'ModelQuality$Constraints' => 'Model quality constraints.
', ], ], 'MinimumInstanceMetadataServiceVersion' => [ 'base' => NULL, 'refs' => [ 'InstanceMetadataServiceConfiguration$MinimumInstanceMetadataServiceVersion' => 'Indicates the minimum IMDS version that the notebook instance supports. When passed as part of CreateNotebookInstance, if no value is selected, then it defaults to IMDSv1. This means that both IMDSv1 and IMDSv2 are supported. If passed as part of UpdateNotebookInstance, there is no default.
The version of MLflow that the tracking server uses. To see which MLflow versions are available to use, see How it works.
', 'DescribeMlflowTrackingServerResponse$MlflowVersion' => 'The MLflow version used for the described tracking server.
', 'ListMlflowTrackingServersRequest$MlflowVersion' => 'Filter for tracking servers using the specified MLflow version.
', 'TrackingServerSummary$MlflowVersion' => 'The MLflow version used for a listed tracking server.
', ], ], 'Model' => [ 'base' => 'The properties of a model as returned by the Search API.
', 'refs' => [ 'ModelDashboardModel$Model' => 'A model displayed in the Model Dashboard.
', ], ], 'ModelAccessConfig' => [ 'base' => 'The access configuration file to control access to the ML model. You can explicitly accept the model end-user license agreement (EULA) within the ModelAccessConfig.
If you are a Jumpstart user, see the End-user license agreements section for more details on accepting the EULA.
If you are an AutoML user, see the Optional Parameters section of Create an AutoML job to fine-tune text generation models using the API for details on How to set the EULA acceptance when fine-tuning a model using the AutoML API.
Specifies the access configuration file for the ML model. You can explicitly accept the model end-user license agreement (EULA) within the ModelAccessConfig. You are responsible for reviewing and complying with any applicable license terms and making sure they are acceptable for your use case before downloading or using a model.
The approval status of the model.
', 'CreateModelPackageInput$ModelApprovalStatus' => 'Whether the model is approved for deployment.
This parameter is optional for versioned models, and does not apply to unversioned models.
For versioned models, the value of this parameter must be set to Approved to deploy the model.
The approval status of the model package.
', 'ListModelPackagesInput$ModelApprovalStatus' => 'A filter that returns only the model packages with the specified approval status.
', 'ModelPackage$ModelApprovalStatus' => 'The approval status of the model. This can be one of the following values.
APPROVED - The model is approved
REJECTED - The model is rejected.
PENDING_MANUAL_APPROVAL - The model is waiting for manual approval.
The approval status of the model. This can be one of the following values.
APPROVED - The model is approved
REJECTED - The model is rejected.
PENDING_MANUAL_APPROVAL - The model is waiting for manual approval.
The approval status of the model.
', ], ], 'ModelArn' => [ 'base' => NULL, 'refs' => [ 'CreateModelOutput$ModelArn' => 'The ARN of the model created in SageMaker.
', 'DescribeModelOutput$ModelArn' => 'The Amazon Resource Name (ARN) of the model.
', 'LabelingJobAlgorithmsConfig$InitialActiveLearningModelArn' => 'At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here.
', 'LabelingJobOutput$FinalActiveLearningModelArn' => 'The Amazon Resource Name (ARN) for the most recent SageMaker model trained as part of automated data labeling.
', 'Model$ModelArn' => 'The Amazon Resource Name (ARN) of the model.
', 'ModelSummary$ModelArn' => 'The Amazon Resource Name (ARN) of the model.
', ], ], 'ModelArtifacts' => [ 'base' => 'Provides information about the location that is configured for storing model artifacts.
Model artifacts are outputs that result from training a model. They typically consist of trained parameters, a model definition that describes how to compute inferences, and other metadata. A SageMaker container stores your trained model artifacts in the /opt/ml/model directory. After training has completed, by default, these artifacts are uploaded to your Amazon S3 bucket as compressed files.
Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the compilation job.
', 'DescribeTrainingJobResponse$ModelArtifacts' => 'Information about the Amazon S3 location that is configured for storing model artifacts.
', 'TrainingJob$ModelArtifacts' => 'Information about the Amazon S3 location that is configured for storing model artifacts.
', ], ], 'ModelBiasAppSpecification' => [ 'base' => 'Docker container image configuration object for the model bias job.
', 'refs' => [ 'CreateModelBiasJobDefinitionRequest$ModelBiasAppSpecification' => 'Configures the model bias job to run a specified Docker container image.
', 'DescribeModelBiasJobDefinitionResponse$ModelBiasAppSpecification' => 'Configures the model bias job to run a specified Docker container image.
', ], ], 'ModelBiasBaselineConfig' => [ 'base' => 'The configuration for a baseline model bias job.
', 'refs' => [ 'CreateModelBiasJobDefinitionRequest$ModelBiasBaselineConfig' => 'The baseline configuration for a model bias job.
', 'DescribeModelBiasJobDefinitionResponse$ModelBiasBaselineConfig' => 'The baseline configuration for a model bias job.
', ], ], 'ModelBiasJobInput' => [ 'base' => 'Inputs for the model bias job.
', 'refs' => [ 'CreateModelBiasJobDefinitionRequest$ModelBiasJobInput' => 'Inputs for the model bias job.
', 'DescribeModelBiasJobDefinitionResponse$ModelBiasJobInput' => 'Inputs for the model bias job.
', ], ], 'ModelCacheSetting' => [ 'base' => NULL, 'refs' => [ 'MultiModelConfig$ModelCacheSetting' => 'Whether to cache models for a multi-model endpoint. By default, multi-model endpoints cache models so that a model does not have to be loaded into memory each time it is invoked. Some use cases do not benefit from model caching. For example, if an endpoint hosts a large number of models that are each invoked infrequently, the endpoint might perform better if you disable model caching. To disable model caching, set the value of this parameter to Disabled.
An Amazon SageMaker Model Card.
', 'refs' => [ 'SearchRecord$ModelCard' => 'An Amazon SageMaker Model Card that documents details about a machine learning model.
', ], ], 'ModelCardArn' => [ 'base' => NULL, 'refs' => [ 'CreateModelCardResponse$ModelCardArn' => 'The Amazon Resource Name (ARN) of the successfully created model card.
', 'DescribeModelCardResponse$ModelCardArn' => 'The Amazon Resource Name (ARN) of the model card.
', 'ModelCard$ModelCardArn' => 'The Amazon Resource Name (ARN) of the model card.
', 'ModelCardSummary$ModelCardArn' => 'The Amazon Resource Name (ARN) of the model card.
', 'ModelCardVersionSummary$ModelCardArn' => 'The Amazon Resource Name (ARN) of the model card.
', 'ModelDashboardModelCard$ModelCardArn' => 'The Amazon Resource Name (ARN) for a model card.
', 'UpdateModelCardResponse$ModelCardArn' => 'The Amazon Resource Name (ARN) of the updated model card.
', ], ], 'ModelCardContent' => [ 'base' => NULL, 'refs' => [ 'CreateModelCardRequest$Content' => 'The content of the model card. Content must be in model card JSON schema and provided as a string.
', 'DescribeModelCardResponse$Content' => 'The content of the model card.
', 'ModelCard$Content' => 'The content of the model card. Content uses the model card JSON schema and provided as a string.
', 'ModelPackageModelCard$ModelCardContent' => 'The content of the model card. The content must follow the schema described in Model Package Model Card Schema.
', 'UpdateModelCardRequest$Content' => 'The updated model card content. Content must be in model card JSON schema and provided as a string.
When updating model card content, be sure to include the full content and not just updated content.
', ], ], 'ModelCardExportArtifacts' => [ 'base' => 'The artifacts of the model card export job.
', 'refs' => [ 'DescribeModelCardExportJobResponse$ExportArtifacts' => 'The exported model card artifacts.
', ], ], 'ModelCardExportJobArn' => [ 'base' => NULL, 'refs' => [ 'CreateModelCardExportJobResponse$ModelCardExportJobArn' => 'The Amazon Resource Name (ARN) of the model card export job.
', 'DescribeModelCardExportJobRequest$ModelCardExportJobArn' => 'The Amazon Resource Name (ARN) of the model card export job to describe.
', 'DescribeModelCardExportJobResponse$ModelCardExportJobArn' => 'The Amazon Resource Name (ARN) of the model card export job.
', 'ModelCardExportJobSummary$ModelCardExportJobArn' => 'The Amazon Resource Name (ARN) of the model card export job.
', ], ], 'ModelCardExportJobSortBy' => [ 'base' => 'Attribute by which to sort returned export jobs.', 'refs' => [ 'ListModelCardExportJobsRequest$SortBy' => 'Sort model card export jobs by either name or creation time. Sorts by creation time by default.
', ], ], 'ModelCardExportJobSortOrder' => [ 'base' => NULL, 'refs' => [ 'ListModelCardExportJobsRequest$SortOrder' => 'Sort model card export jobs by ascending or descending order.
', ], ], 'ModelCardExportJobStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeModelCardExportJobResponse$Status' => 'The completion status of the model card export job.
InProgress: The model card export job is in progress.
Completed: The model card export job is complete.
Failed: The model card export job failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeModelCardExportJob call.
Only list model card export jobs with the specified status.
', 'ModelCardExportJobSummary$Status' => 'The completion status of the model card export job.
', ], ], 'ModelCardExportJobSummary' => [ 'base' => 'The summary of the Amazon SageMaker Model Card export job.
', 'refs' => [ 'ModelCardExportJobSummaryList$member' => NULL, ], ], 'ModelCardExportJobSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListModelCardExportJobsResponse$ModelCardExportJobSummaries' => 'The summaries of the listed model card export jobs.
', ], ], 'ModelCardExportOutputConfig' => [ 'base' => 'Configure the export output details for an Amazon SageMaker Model Card.
', 'refs' => [ 'CreateModelCardExportJobRequest$OutputConfig' => 'The model card output configuration that specifies the Amazon S3 path for exporting.
', 'DescribeModelCardExportJobResponse$OutputConfig' => 'The export output details for the model card.
', ], ], 'ModelCardNameOrArn' => [ 'base' => NULL, 'refs' => [ 'CreateModelCardExportJobRequest$ModelCardName' => 'The name or Amazon Resource Name (ARN) of the model card to export.
', 'DescribeModelCardRequest$ModelCardName' => 'The name or Amazon Resource Name (ARN) of the model card to describe.
', 'ListModelCardVersionsRequest$ModelCardName' => 'List model card versions for the model card with the specified name or Amazon Resource Name (ARN).
', 'UpdateModelCardRequest$ModelCardName' => 'The name or Amazon Resource Name (ARN) of the model card to update.
', ], ], 'ModelCardProcessingStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeModelCardResponse$ModelCardProcessingStatus' => 'The processing status of model card deletion. The ModelCardProcessingStatus updates throughout the different deletion steps.
DeletePending: Model card deletion request received.
DeleteInProgress: Model card deletion is in progress.
ContentDeleted: Deleted model card content.
ExportJobsDeleted: Deleted all export jobs associated with the model card.
DeleteCompleted: Successfully deleted the model card.
DeleteFailed: The model card failed to delete.
Configure the security settings to protect model card data.
', 'refs' => [ 'CreateModelCardRequest$SecurityConfig' => 'An optional Key Management Service key to encrypt, decrypt, and re-encrypt model card content for regulated workloads with highly sensitive data.
', 'DescribeModelCardResponse$SecurityConfig' => 'The security configuration used to protect model card content.
', 'ModelCard$SecurityConfig' => 'The security configuration used to protect model card data.
', 'ModelDashboardModelCard$SecurityConfig' => 'The KMS Key ID (KMSKeyId) for encryption of model card information.
Sort model cards by either name or creation time. Sorts by creation time by default.
', ], ], 'ModelCardSortOrder' => [ 'base' => NULL, 'refs' => [ 'ListModelCardVersionsRequest$SortOrder' => 'Sort model card versions by ascending or descending order.
', 'ListModelCardsRequest$SortOrder' => 'Sort model cards by ascending or descending order.
', ], ], 'ModelCardStatus' => [ 'base' => NULL, 'refs' => [ 'CreateModelCardRequest$ModelCardStatus' => 'The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft: The model card is a work in progress.
PendingReview: The model card is pending review.
Approved: The model card is approved.
Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.
The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft: The model card is a work in progress.
PendingReview: The model card is pending review.
Approved: The model card is approved.
Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.
Only list model card versions with the specified approval status.
', 'ListModelCardsRequest$ModelCardStatus' => 'Only list model cards with the specified approval status.
', 'ModelCard$ModelCardStatus' => 'The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft: The model card is a work in progress.
PendingReview: The model card is pending review.
Approved: The model card is approved.
Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.
The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft: The model card is a work in progress.
PendingReview: The model card is pending review.
Approved: The model card is approved.
Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.
The approval status of the model card version within your organization. Different organizations might have different criteria for model card review and approval.
Draft: The model card is a work in progress.
PendingReview: The model card is pending review.
Approved: The model card is approved.
Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.
The model card status.
', 'ModelPackageModelCard$ModelCardStatus' => 'The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft: The model card is a work in progress.
PendingReview: The model card is pending review.
Approved: The model card is approved.
Archived: The model card is archived. No more updates can be made to the model card content. If you try to update the model card content, you will receive the message Model Card is in Archived state.
The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.
Draft: The model card is a work in progress.
PendingReview: The model card is pending review.
Approved: The model card is approved.
Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.
A summary of the model card.
', 'refs' => [ 'ModelCardSummaryList$member' => NULL, ], ], 'ModelCardSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListModelCardsResponse$ModelCardSummaries' => 'The summaries of the listed model cards.
', ], ], 'ModelCardVersionSortBy' => [ 'base' => NULL, 'refs' => [ 'ListModelCardVersionsRequest$SortBy' => 'Sort listed model card versions by version. Sorts by version by default.
', ], ], 'ModelCardVersionSummary' => [ 'base' => 'A summary of a specific version of the model card.
', 'refs' => [ 'ModelCardVersionSummaryList$member' => NULL, ], ], 'ModelCardVersionSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListModelCardVersionsResponse$ModelCardVersionSummaryList' => 'The summaries of the listed versions of the model card.
', ], ], 'ModelClientConfig' => [ 'base' => 'Configures the timeout and maximum number of retries for processing a transform job invocation.
', 'refs' => [ 'CreateTransformJobRequest$ModelClientConfig' => 'Configures the timeout and maximum number of retries for processing a transform job invocation.
', 'DescribeTransformJobResponse$ModelClientConfig' => 'The timeout and maximum number of retries for processing a transform job invocation.
', 'TransformJob$ModelClientConfig' => NULL, ], ], 'ModelCompilationConfig' => [ 'base' => 'Settings for the model compilation technique that\'s applied by a model optimization job.
', 'refs' => [ 'OptimizationConfig$ModelCompilationConfig' => 'Settings for the model compilation technique that\'s applied by a model optimization job.
', ], ], 'ModelCompressionType' => [ 'base' => NULL, 'refs' => [ 'S3ModelDataSource$CompressionType' => 'Specifies how the ML model data is prepared.
If you choose Gzip and choose S3Object as the value of S3DataType, S3Uri identifies an object that is a gzip-compressed TAR archive. SageMaker will attempt to decompress and untar the object during model deployment.
If you choose None and chooose S3Object as the value of S3DataType, S3Uri identifies an object that represents an uncompressed ML model to deploy.
If you choose None and choose S3Prefix as the value of S3DataType, S3Uri identifies a key name prefix, under which all objects represents the uncompressed ML model to deploy.
If you choose None, then SageMaker will follow rules below when creating model data files under /opt/ml/model directory for use by your inference code:
If you choose S3Object as the value of S3DataType, then SageMaker will split the key of the S3 object referenced by S3Uri by slash (/), and use the last part as the filename of the file holding the content of the S3 object.
If you choose S3Prefix as the value of S3DataType, then for each S3 object under the key name pefix referenced by S3Uri, SageMaker will trim its key by the prefix, and use the remainder as the path (relative to /opt/ml/model) of the file holding the content of the S3 object. SageMaker will split the remainder by slash (/), using intermediate parts as directory names and the last part as filename of the file holding the content of the S3 object.
Do not use any of the following as file names or directory names:
An empty or blank string
A string which contains null bytes
A string longer than 255 bytes
A single dot (.)
A double dot (..)
Ambiguous file names will result in model deployment failure. For example, if your uncompressed ML model consists of two S3 objects s3://mybucket/model/weights and s3://mybucket/model/weights/part1 and you specify s3://mybucket/model/ as the value of S3Uri and S3Prefix as the value of S3DataType, then it will result in name clash between /opt/ml/model/weights (a regular file) and /opt/ml/model/weights/ (a directory).
Do not organize the model artifacts in S3 console using folders. When you create a folder in S3 console, S3 creates a 0-byte object with a key set to the folder name you provide. They key of the 0-byte object ends with a slash (/) which violates SageMaker restrictions on model artifact file names, leading to model deployment failure.
Defines the model configuration. Includes the specification name and environment parameters.
', 'refs' => [ 'InferenceRecommendation$ModelConfiguration' => 'Defines the model configuration.
', 'RecommendationJobInferenceBenchmark$ModelConfiguration' => NULL, ], ], 'ModelDashboardEndpoint' => [ 'base' => 'An endpoint that hosts a model displayed in the Amazon SageMaker Model Dashboard.
', 'refs' => [ 'ModelDashboardEndpoints$member' => NULL, ], ], 'ModelDashboardEndpoints' => [ 'base' => NULL, 'refs' => [ 'ModelDashboardModel$Endpoints' => 'The endpoints that host a model.
', ], ], 'ModelDashboardIndicatorAction' => [ 'base' => 'An alert action taken to light up an icon on the Amazon SageMaker Model Dashboard when an alert goes into InAlert status.
An alert action taken to light up an icon on the Model Dashboard when an alert goes into InAlert status.
A model displayed in the Amazon SageMaker Model Dashboard.
', 'refs' => [ 'SearchRecord$Model' => NULL, ], ], 'ModelDashboardModelCard' => [ 'base' => 'The model card for a model displayed in the Amazon SageMaker Model Dashboard.
', 'refs' => [ 'ModelDashboardModel$ModelCard' => 'The model card for a model.
', ], ], 'ModelDashboardMonitoringSchedule' => [ 'base' => 'A monitoring schedule for a model displayed in the Amazon SageMaker Model Dashboard.
', 'refs' => [ 'ModelDashboardMonitoringSchedules$member' => NULL, ], ], 'ModelDashboardMonitoringSchedules' => [ 'base' => NULL, 'refs' => [ 'ModelDashboardModel$MonitoringSchedules' => 'The monitoring schedules for a model.
', ], ], 'ModelDataQuality' => [ 'base' => 'Data quality constraints and statistics for a model.
', 'refs' => [ 'ModelMetrics$ModelDataQuality' => 'Metrics that measure the quality of the input data for a model.
', ], ], 'ModelDataSource' => [ 'base' => 'Specifies the location of ML model data to deploy. If specified, you must specify one and only one of the available data sources.
', 'refs' => [ 'ContainerDefinition$ModelDataSource' => 'Specifies the location of ML model data to deploy.
Currently you cannot use ModelDataSource in conjunction with SageMaker batch transform, SageMaker serverless endpoints, SageMaker multi-model endpoints, and SageMaker Marketplace.
Specifies the location of ML model data to deploy during endpoint creation.
', 'SourceAlgorithm$ModelDataSource' => 'Specifies the location of ML model data to deploy during endpoint creation.
', ], ], 'ModelDeployConfig' => [ 'base' => 'Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
', 'refs' => [ 'CreateAutoMLJobRequest$ModelDeployConfig' => 'Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
', 'CreateAutoMLJobV2Request$ModelDeployConfig' => 'Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
', 'DescribeAutoMLJobResponse$ModelDeployConfig' => 'Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.
', 'DescribeAutoMLJobV2Response$ModelDeployConfig' => 'Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.
', ], ], 'ModelDeployResult' => [ 'base' => 'Provides information about the endpoint of the model deployment.
', 'refs' => [ 'DescribeAutoMLJobResponse$ModelDeployResult' => 'Provides information about endpoint for the model deployment.
', 'DescribeAutoMLJobV2Response$ModelDeployResult' => 'Provides information about endpoint for the model deployment.
', ], ], 'ModelDigests' => [ 'base' => 'Provides information to verify the integrity of stored model artifacts.
', 'refs' => [ 'DescribeCompilationJobResponse$ModelDigests' => 'Provides a BLAKE2 hash value that identifies the compiled model artifacts in Amazon S3.
', ], ], 'ModelExplainabilityAppSpecification' => [ 'base' => 'Docker container image configuration object for the model explainability job.
', 'refs' => [ 'CreateModelExplainabilityJobDefinitionRequest$ModelExplainabilityAppSpecification' => 'Configures the model explainability job to run a specified Docker container image.
', 'DescribeModelExplainabilityJobDefinitionResponse$ModelExplainabilityAppSpecification' => 'Configures the model explainability job to run a specified Docker container image.
', ], ], 'ModelExplainabilityBaselineConfig' => [ 'base' => 'The configuration for a baseline model explainability job.
', 'refs' => [ 'CreateModelExplainabilityJobDefinitionRequest$ModelExplainabilityBaselineConfig' => 'The baseline configuration for a model explainability job.
', 'DescribeModelExplainabilityJobDefinitionResponse$ModelExplainabilityBaselineConfig' => 'The baseline configuration for a model explainability job.
', ], ], 'ModelExplainabilityJobInput' => [ 'base' => 'Inputs for the model explainability job.
', 'refs' => [ 'CreateModelExplainabilityJobDefinitionRequest$ModelExplainabilityJobInput' => 'Inputs for the model explainability job.
', 'DescribeModelExplainabilityJobDefinitionResponse$ModelExplainabilityJobInput' => 'Inputs for the model explainability job.
', ], ], 'ModelInfrastructureConfig' => [ 'base' => 'The configuration for the infrastructure that the model will be deployed to.
', 'refs' => [ 'ModelVariantConfig$InfrastructureConfig' => 'The configuration for the infrastructure that the model will be deployed to.
', 'ModelVariantConfigSummary$InfrastructureConfig' => 'The configuration of the infrastructure that the model has been deployed to.
', ], ], 'ModelInfrastructureType' => [ 'base' => NULL, 'refs' => [ 'ModelInfrastructureConfig$InfrastructureType' => 'The inference option to which to deploy your model. Possible values are the following:
RealTime: Deploy to real-time inference.
Input object for the model.
', 'refs' => [ 'ModelPackageContainerDefinition$ModelInput' => 'A structure with Model Input details.
', ], ], 'ModelInsightsLocation' => [ 'base' => NULL, 'refs' => [ 'CandidateArtifactLocations$ModelInsights' => 'The Amazon S3 prefix to the model insight artifacts generated for the AutoML candidate.
', ], ], 'ModelLatencyThreshold' => [ 'base' => 'The model latency threshold.
', 'refs' => [ 'ModelLatencyThresholds$member' => NULL, ], ], 'ModelLatencyThresholds' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobStoppingConditions$ModelLatencyThresholds' => 'The interval of time taken by a model to respond as viewed from SageMaker. The interval includes the local communication time taken to send the request and to fetch the response from the container of a model and the time taken to complete the inference in the container.
', ], ], 'ModelLifeCycle' => [ 'base' => 'A structure describing the current state of the model in its life cycle.
', 'refs' => [ 'CreateModelPackageInput$ModelLifeCycle' => 'A structure describing the current state of the model in its life cycle.
', 'DescribeModelPackageOutput$ModelLifeCycle' => 'A structure describing the current state of the model in its life cycle.
', 'ModelPackage$ModelLifeCycle' => 'A structure describing the current state of the model in its life cycle.
', 'UpdateModelPackageInput$ModelLifeCycle' => 'A structure describing the current state of the model in its life cycle.
', ], ], 'ModelMetadataFilter' => [ 'base' => 'Part of the search expression. You can specify the name and value (domain, task, framework, framework version, task, and model).
', 'refs' => [ 'ModelMetadataFilters$member' => NULL, ], ], 'ModelMetadataFilterType' => [ 'base' => NULL, 'refs' => [ 'ModelMetadataFilter$Name' => 'The name of the of the model to filter by.
', ], ], 'ModelMetadataFilters' => [ 'base' => NULL, 'refs' => [ 'ModelMetadataSearchExpression$Filters' => 'A list of filter objects.
', ], ], 'ModelMetadataSearchExpression' => [ 'base' => 'One or more filters that searches for the specified resource or resources in a search. All resource objects that satisfy the expression\'s condition are included in the search results
', 'refs' => [ 'ListModelMetadataRequest$SearchExpression' => 'One or more filters that searches for the specified resource or resources in a search. All resource objects that satisfy the expression\'s condition are included in the search results. Specify the Framework, FrameworkVersion, Domain or Task to filter supported. Filter names and values are case-sensitive.
', ], ], 'ModelMetadataSummaries' => [ 'base' => NULL, 'refs' => [ 'ListModelMetadataResponse$ModelMetadataSummaries' => 'A structure that holds model metadata.
', ], ], 'ModelMetadataSummary' => [ 'base' => 'A summary of the model metadata.
', 'refs' => [ 'ModelMetadataSummaries$member' => NULL, ], ], 'ModelMetrics' => [ 'base' => 'Contains metrics captured from a model.
', 'refs' => [ 'CreateModelPackageInput$ModelMetrics' => 'A structure that contains model metrics reports.
', 'DescribeModelPackageOutput$ModelMetrics' => 'Metrics for the model.
', 'ModelPackage$ModelMetrics' => 'Metrics for the model.
', ], ], 'ModelName' => [ 'base' => NULL, 'refs' => [ 'CreateModelInput$ModelName' => 'The name of the new model.
', 'CreateTransformJobRequest$ModelName' => 'The name of the model that you want to use for the transform job. ModelName must be the name of an existing Amazon SageMaker model within an Amazon Web Services Region in an Amazon Web Services account.
The name of the model to delete.
', 'DescribeModelInput$ModelName' => 'The name of the model.
', 'DescribeModelOutput$ModelName' => 'Name of the SageMaker model.
', 'DescribeTransformJobResponse$ModelName' => 'The name of the model used in the transform job.
', 'InferenceComponentSpecification$ModelName' => 'The name of an existing SageMaker AI model object in your account that you want to deploy with the inference component.
', 'InferenceComponentSpecificationSummary$ModelName' => 'The name of the SageMaker AI model object that is deployed with the inference component.
', 'InferenceRecommendationsJob$ModelName' => 'The name of the created model.
', 'ListInferenceRecommendationsJobsRequest$ModelNameEquals' => 'A filter that returns only jobs that were created for this model.
', 'Model$ModelName' => 'The name of the model.
', 'ModelSummary$ModelName' => 'The name of the model that you want a summary for.
', 'ModelVariantConfig$ModelName' => 'The name of the Amazon SageMaker Model entity.
', 'ModelVariantConfigSummary$ModelName' => 'The name of the Amazon SageMaker Model entity.
', 'ProductionVariant$ModelName' => 'The name of the model that you want to host. This is the name that you specified when creating the model.
', 'RecommendationJobInputConfig$ModelName' => 'The name of the created model.
', 'TransformJob$ModelName' => 'The name of the model associated with the transform job.
', ], ], 'ModelNameContains' => [ 'base' => NULL, 'refs' => [ 'ListModelsInput$NameContains' => 'A string in the model name. This filter returns only models whose name contains the specified string.
', ], ], 'ModelPackage' => [ 'base' => 'A versioned model that can be deployed for SageMaker inference.
', 'refs' => [ 'SearchRecord$ModelPackage' => NULL, ], ], 'ModelPackageArn' => [ 'base' => NULL, 'refs' => [ 'BatchDescribeModelPackageErrorMap$key' => NULL, 'BatchDescribeModelPackageSummary$ModelPackageArn' => 'The Amazon Resource Name (ARN) of the model package.
', 'CreateCompilationJobRequest$ModelPackageVersionArn' => 'The Amazon Resource Name (ARN) of a versioned model package. Provide either a ModelPackageVersionArn or an InputConfig object in the request syntax. The presence of both objects in the CreateCompilationJob request will return an exception.
The Amazon Resource Name (ARN) of the new model package.
', 'DescribeCompilationJobResponse$ModelPackageVersionArn' => 'The Amazon Resource Name (ARN) of the versioned model package that was provided to SageMaker Neo when you initiated a compilation job.
', 'DescribeModelPackageOutput$ModelPackageArn' => 'The Amazon Resource Name (ARN) of the model package.
', 'InferenceRecommendationsJob$ModelPackageVersionArn' => 'The Amazon Resource Name (ARN) of a versioned model package.
', 'ListInferenceRecommendationsJobsRequest$ModelPackageVersionArnEquals' => 'A filter that returns only jobs that were created for this versioned model package.
', 'ModelPackage$ModelPackageArn' => 'The Amazon Resource Name (ARN) of the model package.
', 'ModelPackageArnList$member' => NULL, 'ModelPackageSummaries$key' => NULL, 'ModelPackageSummary$ModelPackageArn' => 'The Amazon Resource Name (ARN) of the model package.
', 'RecommendationJobInputConfig$ModelPackageVersionArn' => 'The Amazon Resource Name (ARN) of a versioned model package.
', 'UpdateModelPackageInput$ModelPackageArn' => 'The Amazon Resource Name (ARN) of the model package.
', 'UpdateModelPackageOutput$ModelPackageArn' => 'The Amazon Resource Name (ARN) of the model.
', ], ], 'ModelPackageArnList' => [ 'base' => NULL, 'refs' => [ 'BatchDescribeModelPackageInput$ModelPackageArnList' => 'The list of Amazon Resource Name (ARN) of the model package groups.
', ], ], 'ModelPackageContainerDefinition' => [ 'base' => 'Describes the Docker container for the model package.
', 'refs' => [ 'ModelPackageContainerDefinitionList$member' => NULL, ], ], 'ModelPackageContainerDefinitionList' => [ 'base' => NULL, 'refs' => [ 'AdditionalInferenceSpecificationDefinition$Containers' => 'The Amazon ECR registry path of the Docker image that contains the inference code.
', 'InferenceSpecification$Containers' => 'The Amazon ECR registry path of the Docker image that contains the inference code.
', ], ], 'ModelPackageFrameworkVersion' => [ 'base' => NULL, 'refs' => [ 'ModelPackageContainerDefinition$FrameworkVersion' => 'The framework version of the Model Package Container Image.
', ], ], 'ModelPackageGroup' => [ 'base' => 'A group of versioned models in the model registry.
', 'refs' => [ 'SearchRecord$ModelPackageGroup' => NULL, ], ], 'ModelPackageGroupArn' => [ 'base' => NULL, 'refs' => [ 'CreateModelPackageGroupOutput$ModelPackageGroupArn' => 'The Amazon Resource Name (ARN) of the model group.
', 'DescribeModelPackageGroupOutput$ModelPackageGroupArn' => 'The Amazon Resource Name (ARN) of the model group.
', 'ModelPackageGroup$ModelPackageGroupArn' => 'The Amazon Resource Name (ARN) of the model group.
', 'ModelPackageGroupSummary$ModelPackageGroupArn' => 'The Amazon Resource Name (ARN) of the model group.
', 'PutModelPackageGroupPolicyOutput$ModelPackageGroupArn' => 'The Amazon Resource Name (ARN) of the model package group.
', ], ], 'ModelPackageGroupSortBy' => [ 'base' => NULL, 'refs' => [ 'ListModelPackageGroupsInput$SortBy' => 'The field to sort results by. The default is CreationTime.
The status of the model group.
', 'ModelPackageGroup$ModelPackageGroupStatus' => 'The status of the model group. This can be one of the following values.
PENDING - The model group is pending being created.
IN_PROGRESS - The model group is in the process of being created.
COMPLETED - The model group was successfully created.
FAILED - The model group failed.
DELETING - The model group is in the process of being deleted.
DELETE_FAILED - SageMaker failed to delete the model group.
The status of the model group.
', ], ], 'ModelPackageGroupSummary' => [ 'base' => 'Summary information about a model group.
', 'refs' => [ 'ModelPackageGroupSummaryList$member' => NULL, ], ], 'ModelPackageGroupSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListModelPackageGroupsOutput$ModelPackageGroupSummaryList' => 'A list of summaries of the model groups in your Amazon Web Services account.
', ], ], 'ModelPackageModelCard' => [ 'base' => 'The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.
The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.
The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.
The model card associated with the model package. Since ModelPackageModelCard is tied to a model package, it is a specific usage of a model card and its schema is simplified compared to the schema of ModelCard. The ModelPackageModelCard schema does not include model_package_details, and model_overview is composed of the model_creator and model_artifact properties. For more information about the model package model card schema, see Model package model card schema. For more information about the model card associated with the model package, see View the Details of a Model Version.
An optional Key Management Service key to encrypt, decrypt, and re-encrypt model package information for regulated workloads with highly sensitive data.
', 'refs' => [ 'CreateModelPackageInput$SecurityConfig' => 'The KMS Key ID (KMSKeyId) used for encryption of model package information.
The KMS Key ID (KMSKeyId) used for encryption of model package information.
The parameter by which to sort the results. The default is CreationTime.
The URI of the source for the model package. If you want to clone a model package, set it to the model package Amazon Resource Name (ARN). If you want to register a model, set it to the model ARN.
', 'DescribeModelPackageOutput$SourceUri' => 'The URI of the source for the model package.
', 'ModelPackage$SourceUri' => 'The URI of the source for the model package.
', 'UpdateModelPackageInput$SourceUri' => 'The URI of the source for the model package.
', ], ], 'ModelPackageStatus' => [ 'base' => NULL, 'refs' => [ 'BatchDescribeModelPackageSummary$ModelPackageStatus' => 'The status of the mortgage package.
', 'DescribeModelPackageOutput$ModelPackageStatus' => 'The current status of the model package.
', 'ModelPackage$ModelPackageStatus' => 'The status of the model package. This can be one of the following values.
PENDING - The model package is pending being created.
IN_PROGRESS - The model package is in the process of being created.
COMPLETED - The model package was successfully created.
FAILED - The model package failed.
DELETING - The model package is in the process of being deleted.
The overall status of the model package.
', ], ], 'ModelPackageStatusDetails' => [ 'base' => 'Specifies the validation and image scan statuses of the model package.
', 'refs' => [ 'DescribeModelPackageOutput$ModelPackageStatusDetails' => 'Details about the current status of the model package.
', 'ModelPackage$ModelPackageStatusDetails' => 'Specifies the validation and image scan statuses of the model package.
', ], ], 'ModelPackageStatusItem' => [ 'base' => 'Represents the overall status of a model package.
', 'refs' => [ 'ModelPackageStatusItemList$member' => NULL, ], ], 'ModelPackageStatusItemList' => [ 'base' => NULL, 'refs' => [ 'ModelPackageStatusDetails$ValidationStatuses' => 'The validation status of the model package.
', 'ModelPackageStatusDetails$ImageScanStatuses' => 'The status of the scan of the Docker image container for the model package.
', ], ], 'ModelPackageSummaries' => [ 'base' => NULL, 'refs' => [ 'BatchDescribeModelPackageOutput$ModelPackageSummaries' => 'The summaries for the model package versions
', ], ], 'ModelPackageSummary' => [ 'base' => 'Provides summary information about a model package.
', 'refs' => [ 'ModelPackageSummaryList$member' => NULL, ], ], 'ModelPackageSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListModelPackagesOutput$ModelPackageSummaryList' => 'An array of ModelPackageSummary objects, each of which lists a model package.
A filter that returns only the model packages of the specified type. This can be one of the following values.
UNVERSIONED - List only unversioined models. This is the default value if no ModelPackageType is specified.
VERSIONED - List only versioned models.
BOTH - List both versioned and unversioned models.
Contains data, such as the inputs and targeted instance types that are used in the process of validating the model package.
The data provided in the validation profile is made available to your buyers on Amazon Web Services Marketplace.
', 'refs' => [ 'ModelPackageValidationProfiles$member' => NULL, ], ], 'ModelPackageValidationProfiles' => [ 'base' => NULL, 'refs' => [ 'ModelPackageValidationSpecification$ValidationProfiles' => 'An array of ModelPackageValidationProfile objects, each of which specifies a batch transform job that SageMaker runs to validate your model package.
Specifies batch transform jobs that SageMaker runs to validate your model package.
', 'refs' => [ 'CreateModelPackageInput$ValidationSpecification' => 'Specifies configurations for one or more transform jobs that SageMaker runs to test the model package.
', 'DescribeModelPackageOutput$ValidationSpecification' => 'Configurations for one or more transform jobs that SageMaker runs to test the model package.
', 'ModelPackage$ValidationSpecification' => 'Specifies batch transform jobs that SageMaker runs to validate your model package.
', ], ], 'ModelPackageVersion' => [ 'base' => NULL, 'refs' => [ 'BatchDescribeModelPackageSummary$ModelPackageVersion' => 'The version number of a versioned model.
', 'DescribeModelPackageOutput$ModelPackageVersion' => 'The version of the model package.
', 'ModelPackage$ModelPackageVersion' => 'The version number of a versioned model.
', 'ModelPackageSummary$ModelPackageVersion' => 'If the model package is a versioned model, the version of the model.
', ], ], 'ModelQuality' => [ 'base' => 'Model quality statistics and constraints.
', 'refs' => [ 'ModelMetrics$ModelQuality' => 'Metrics that measure the quality of a model.
', ], ], 'ModelQualityAppSpecification' => [ 'base' => 'Container image configuration object for the monitoring job.
', 'refs' => [ 'CreateModelQualityJobDefinitionRequest$ModelQualityAppSpecification' => 'The container that runs the monitoring job.
', 'DescribeModelQualityJobDefinitionResponse$ModelQualityAppSpecification' => 'Configures the model quality job to run a specified Docker container image.
', ], ], 'ModelQualityBaselineConfig' => [ 'base' => 'Configuration for monitoring constraints and monitoring statistics. These baseline resources are compared against the results of the current job from the series of jobs scheduled to collect data periodically.
', 'refs' => [ 'CreateModelQualityJobDefinitionRequest$ModelQualityBaselineConfig' => 'Specifies the constraints and baselines for the monitoring job.
', 'DescribeModelQualityJobDefinitionResponse$ModelQualityBaselineConfig' => 'The baseline configuration for a model quality job.
', ], ], 'ModelQualityJobInput' => [ 'base' => 'The input for the model quality monitoring job. Currently endpoints are supported for input for model quality monitoring jobs.
', 'refs' => [ 'CreateModelQualityJobDefinitionRequest$ModelQualityJobInput' => 'A list of the inputs that are monitored. Currently endpoints are supported.
', 'DescribeModelQualityJobDefinitionResponse$ModelQualityJobInput' => 'Inputs for the model quality job.
', ], ], 'ModelQuantizationConfig' => [ 'base' => 'Settings for the model quantization technique that\'s applied by a model optimization job.
', 'refs' => [ 'OptimizationConfig$ModelQuantizationConfig' => 'Settings for the model quantization technique that\'s applied by a model optimization job.
', ], ], 'ModelRegisterSettings' => [ 'base' => 'The model registry settings for the SageMaker Canvas application.
', 'refs' => [ 'CanvasAppSettings$ModelRegisterSettings' => 'The model registry settings for the SageMaker Canvas application.
', ], ], 'ModelSetupTime' => [ 'base' => NULL, 'refs' => [ 'RecommendationMetrics$ModelSetupTime' => 'The time it takes to launch new compute resources for a serverless endpoint. The time can vary depending on the model size, how long it takes to download the model, and the start-up time of the container.
NaN indicates that the value is not available.
Settings for the model sharding technique that\'s applied by a model optimization job.
', 'refs' => [ 'OptimizationConfig$ModelShardingConfig' => 'Settings for the model sharding technique that\'s applied by a model optimization job.
', ], ], 'ModelSortKey' => [ 'base' => NULL, 'refs' => [ 'ListModelsInput$SortBy' => 'Sorts the list of results. The default is CreationTime.
Metadata for Model steps.
', 'refs' => [ 'PipelineExecutionStepMetadata$Model' => 'The Amazon Resource Name (ARN) of the model that was created by this step execution.
', ], ], 'ModelSummary' => [ 'base' => 'Provides summary information about a model.
', 'refs' => [ 'ModelSummaryList$member' => NULL, ], ], 'ModelSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListModelsOutput$Models' => 'An array of ModelSummary objects, each of which lists a model.
Array of key-value pairs, with names of variants mapped to actions. The possible actions are the following:
Promote - Promote the shadow variant to a production variant
Remove - Delete the variant
Retain - Keep the variant as it is
Contains information about the deployment options of a model.
', 'refs' => [ 'ModelVariantConfigList$member' => NULL, ], ], 'ModelVariantConfigList' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceExperimentRequest$ModelVariants' => ' An array of ModelVariantConfig objects. There is one for each variant in the inference experiment. Each ModelVariantConfig object in the array describes the infrastructure configuration for the corresponding variant.
An array of ModelVariantConfig objects. There is one for each variant that you want to deploy after the inference experiment stops. Each ModelVariantConfig describes the infrastructure configuration for deploying the corresponding variant.
An array of ModelVariantConfig objects. There is one for each variant, whose infrastructure configuration you want to update.
Summary of the deployment configuration of a model.
', 'refs' => [ 'ModelVariantConfigSummaryList$member' => NULL, ], ], 'ModelVariantConfigSummaryList' => [ 'base' => NULL, 'refs' => [ 'DescribeInferenceExperimentResponse$ModelVariants' => ' An array of ModelVariantConfigSummary objects. There is one for each variant in the inference experiment. Each ModelVariantConfigSummary object in the array describes the infrastructure configuration for deploying the corresponding variant.
The name of the variant.
', 'ModelVariantConfigSummary$VariantName' => 'The name of the variant.
', 'ShadowModeConfig$SourceModelVariantName' => 'The name of the production variant, which takes all the inference requests.
', 'ShadowModelVariantConfig$ShadowModelVariantName' => 'The name of the shadow variant.
', ], ], 'ModelVariantStatus' => [ 'base' => NULL, 'refs' => [ 'ModelVariantConfigSummary$Status' => 'The status of deployment for the model variant on the hosted inference endpoint.
Creating - Amazon SageMaker is preparing the model variant on the hosted inference endpoint.
InService - The model variant is running on the hosted inference endpoint.
Updating - Amazon SageMaker is updating the model variant on the hosted inference endpoint.
Deleting - Amazon SageMaker is deleting the model variant on the hosted inference endpoint.
Deleted - The model variant has been deleted on the hosted inference endpoint. This can only happen after stopping the experiment.
A list of alert actions taken in response to an alert going into InAlert status.
A list of alert actions taken in response to an alert going into InAlert status.
An alert history for a model monitoring schedule.
', ], ], 'MonitoringAlertHistorySortKey' => [ 'base' => NULL, 'refs' => [ 'ListMonitoringAlertHistoryRequest$SortBy' => 'The field used to sort results. The default is CreationTime.
Provides summary information of an alert\'s history.
', 'refs' => [ 'MonitoringAlertHistoryList$member' => NULL, ], ], 'MonitoringAlertName' => [ 'base' => NULL, 'refs' => [ 'ListMonitoringAlertHistoryRequest$MonitoringAlertName' => 'The name of a monitoring alert.
', 'MonitoringAlertHistorySummary$MonitoringAlertName' => 'The name of a monitoring alert.
', 'MonitoringAlertSummary$MonitoringAlertName' => 'The name of a monitoring alert.
', 'UpdateMonitoringAlertRequest$MonitoringAlertName' => 'The name of a monitoring alert.
', 'UpdateMonitoringAlertResponse$MonitoringAlertName' => 'The name of a monitoring alert.
', ], ], 'MonitoringAlertStatus' => [ 'base' => NULL, 'refs' => [ 'ListMonitoringAlertHistoryRequest$StatusEquals' => 'A filter that retrieves only alerts with a specific status.
', 'MonitoringAlertHistorySummary$AlertStatus' => 'The current alert status of an alert.
', 'MonitoringAlertSummary$AlertStatus' => 'The current status of an alert.
', ], ], 'MonitoringAlertSummary' => [ 'base' => 'Provides summary information about a monitor alert.
', 'refs' => [ 'MonitoringAlertSummaryList$member' => NULL, ], ], 'MonitoringAlertSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListMonitoringAlertsResponse$MonitoringAlertSummaries' => 'A JSON array where each element is a summary for a monitoring alert.
', 'ModelDashboardMonitoringSchedule$MonitoringAlertSummaries' => 'A JSON array where each element is a summary for a monitoring alert.
', ], ], 'MonitoringAppSpecification' => [ 'base' => 'Container image configuration object for the monitoring job.
', 'refs' => [ 'MonitoringJobDefinition$MonitoringAppSpecification' => 'Configures the monitoring job to run a specified Docker container image.
', ], ], 'MonitoringBaselineConfig' => [ 'base' => 'Configuration for monitoring constraints and monitoring statistics. These baseline resources are compared against the results of the current job from the series of jobs scheduled to collect data periodically.
', 'refs' => [ 'MonitoringJobDefinition$BaselineConfig' => 'Baseline configuration used to validate that the data conforms to the specified constraints and statistics
', ], ], 'MonitoringClusterConfig' => [ 'base' => 'Configuration for the cluster used to run model monitoring jobs.
', 'refs' => [ 'MonitoringResources$ClusterConfig' => 'The configuration for the cluster resources used to run the processing job.
', ], ], 'MonitoringConstraintsResource' => [ 'base' => 'The constraints resource for a monitoring job.
', 'refs' => [ 'DataQualityBaselineConfig$ConstraintsResource' => NULL, 'ModelBiasBaselineConfig$ConstraintsResource' => NULL, 'ModelExplainabilityBaselineConfig$ConstraintsResource' => NULL, 'ModelQualityBaselineConfig$ConstraintsResource' => NULL, 'MonitoringBaselineConfig$ConstraintsResource' => 'The baseline constraint file in Amazon S3 that the current monitoring job should validated against.
', ], ], 'MonitoringContainerArguments' => [ 'base' => NULL, 'refs' => [ 'DataQualityAppSpecification$ContainerArguments' => 'The arguments to send to the container that the monitoring job runs.
', 'ModelQualityAppSpecification$ContainerArguments' => 'An array of arguments for the container used to run the monitoring job.
', 'MonitoringAppSpecification$ContainerArguments' => 'An array of arguments for the container used to run the monitoring job.
', ], ], 'MonitoringCsvDatasetFormat' => [ 'base' => 'Represents the CSV dataset format used when running a monitoring job.
', 'refs' => [ 'MonitoringDatasetFormat$Csv' => 'The CSV dataset used in the monitoring job.
', ], ], 'MonitoringDatapointsToAlert' => [ 'base' => NULL, 'refs' => [ 'MonitoringAlertSummary$DatapointsToAlert' => 'Within EvaluationPeriod, how many execution failures will raise an alert.
Within EvaluationPeriod, how many execution failures will raise an alert.
Represents the dataset format used when running a monitoring job.
', 'refs' => [ 'BatchTransformInput$DatasetFormat' => 'The dataset format for your batch transform job.
', ], ], 'MonitoringEnvironmentMap' => [ 'base' => NULL, 'refs' => [ 'DataQualityAppSpecification$Environment' => 'Sets the environment variables in the container that the monitoring job runs.
', 'ModelBiasAppSpecification$Environment' => 'Sets the environment variables in the Docker container.
', 'ModelExplainabilityAppSpecification$Environment' => 'Sets the environment variables in the Docker container.
', 'ModelQualityAppSpecification$Environment' => 'Sets the environment variables in the container that the monitoring job runs.
', 'MonitoringJobDefinition$Environment' => 'Sets the environment variables in the Docker container.
', ], ], 'MonitoringEvaluationPeriod' => [ 'base' => NULL, 'refs' => [ 'MonitoringAlertSummary$EvaluationPeriod' => 'The number of most recent monitoring executions to consider when evaluating alert status.
', 'UpdateMonitoringAlertRequest$EvaluationPeriod' => 'The number of most recent monitoring executions to consider when evaluating alert status.
', ], ], 'MonitoringExecutionSortKey' => [ 'base' => NULL, 'refs' => [ 'ListMonitoringExecutionsRequest$SortBy' => 'Whether to sort the results by the Status, CreationTime, or ScheduledTime field. The default is CreationTime.
Summary of information about the last monitoring job to run.
', 'refs' => [ 'DescribeMonitoringScheduleResponse$LastMonitoringExecutionSummary' => 'Describes metadata on the last execution to run, if there was one.
', 'ModelDashboardMonitoringSchedule$LastMonitoringExecutionSummary' => NULL, 'MonitoringExecutionSummaryList$member' => NULL, 'MonitoringSchedule$LastMonitoringExecutionSummary' => NULL, ], ], 'MonitoringExecutionSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListMonitoringExecutionsResponse$MonitoringExecutionSummaries' => 'A JSON array in which each element is a summary for a monitoring execution.
', ], ], 'MonitoringGroundTruthS3Input' => [ 'base' => 'The ground truth labels for the dataset used for the monitoring job.
', 'refs' => [ 'ModelBiasJobInput$GroundTruthS3Input' => 'Location of ground truth labels to use in model bias job.
', 'ModelQualityJobInput$GroundTruthS3Input' => 'The ground truth label provided for the model.
', ], ], 'MonitoringInput' => [ 'base' => 'The inputs for a monitoring job.
', 'refs' => [ 'MonitoringInputs$member' => NULL, ], ], 'MonitoringInputs' => [ 'base' => NULL, 'refs' => [ 'MonitoringJobDefinition$MonitoringInputs' => 'The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker AI Endpoint.
', ], ], 'MonitoringJobDefinition' => [ 'base' => 'Defines the monitoring job.
', 'refs' => [ 'MonitoringScheduleConfig$MonitoringJobDefinition' => 'Defines the monitoring job.
', ], ], 'MonitoringJobDefinitionArn' => [ 'base' => NULL, 'refs' => [ 'CreateDataQualityJobDefinitionResponse$JobDefinitionArn' => 'The Amazon Resource Name (ARN) of the job definition.
', 'CreateModelBiasJobDefinitionResponse$JobDefinitionArn' => 'The Amazon Resource Name (ARN) of the model bias job.
', 'CreateModelExplainabilityJobDefinitionResponse$JobDefinitionArn' => 'The Amazon Resource Name (ARN) of the model explainability job.
', 'CreateModelQualityJobDefinitionResponse$JobDefinitionArn' => 'The Amazon Resource Name (ARN) of the model quality monitoring job.
', 'DescribeDataQualityJobDefinitionResponse$JobDefinitionArn' => 'The Amazon Resource Name (ARN) of the data quality monitoring job definition.
', 'DescribeModelBiasJobDefinitionResponse$JobDefinitionArn' => 'The Amazon Resource Name (ARN) of the model bias job.
', 'DescribeModelExplainabilityJobDefinitionResponse$JobDefinitionArn' => 'The Amazon Resource Name (ARN) of the model explainability job.
', 'DescribeModelQualityJobDefinitionResponse$JobDefinitionArn' => 'The Amazon Resource Name (ARN) of the model quality job.
', 'MonitoringJobDefinitionSummary$MonitoringJobDefinitionArn' => 'The Amazon Resource Name (ARN) of the monitoring job.
', ], ], 'MonitoringJobDefinitionName' => [ 'base' => NULL, 'refs' => [ 'CreateDataQualityJobDefinitionRequest$JobDefinitionName' => 'The name for the monitoring job definition.
', 'CreateModelBiasJobDefinitionRequest$JobDefinitionName' => 'The name of the bias job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'CreateModelExplainabilityJobDefinitionRequest$JobDefinitionName' => 'The name of the model explainability job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'CreateModelQualityJobDefinitionRequest$JobDefinitionName' => 'The name of the monitoring job definition.
', 'DeleteDataQualityJobDefinitionRequest$JobDefinitionName' => 'The name of the data quality monitoring job definition to delete.
', 'DeleteModelBiasJobDefinitionRequest$JobDefinitionName' => 'The name of the model bias job definition to delete.
', 'DeleteModelExplainabilityJobDefinitionRequest$JobDefinitionName' => 'The name of the model explainability job definition to delete.
', 'DeleteModelQualityJobDefinitionRequest$JobDefinitionName' => 'The name of the model quality monitoring job definition to delete.
', 'DescribeDataQualityJobDefinitionRequest$JobDefinitionName' => 'The name of the data quality monitoring job definition to describe.
', 'DescribeDataQualityJobDefinitionResponse$JobDefinitionName' => 'The name of the data quality monitoring job definition.
', 'DescribeModelBiasJobDefinitionRequest$JobDefinitionName' => 'The name of the model bias job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'DescribeModelBiasJobDefinitionResponse$JobDefinitionName' => 'The name of the bias job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'DescribeModelExplainabilityJobDefinitionRequest$JobDefinitionName' => 'The name of the model explainability job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'DescribeModelExplainabilityJobDefinitionResponse$JobDefinitionName' => 'The name of the explainability job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'DescribeModelQualityJobDefinitionRequest$JobDefinitionName' => 'The name of the model quality job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'DescribeModelQualityJobDefinitionResponse$JobDefinitionName' => 'The name of the quality job definition. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'ListMonitoringExecutionsRequest$MonitoringJobDefinitionName' => 'Gets a list of the monitoring job runs of the specified monitoring job definitions.
', 'ListMonitoringSchedulesRequest$MonitoringJobDefinitionName' => 'Gets a list of the monitoring schedules for the specified monitoring job definition.
', 'MonitoringExecutionSummary$MonitoringJobDefinitionName' => 'The name of the monitoring job.
', 'MonitoringJobDefinitionSummary$MonitoringJobDefinitionName' => 'The name of the monitoring job.
', 'MonitoringScheduleConfig$MonitoringJobDefinitionName' => 'The name of the monitoring job definition to schedule.
', 'MonitoringScheduleSummary$MonitoringJobDefinitionName' => 'The name of the monitoring job definition that the schedule is for.
', ], ], 'MonitoringJobDefinitionSortKey' => [ 'base' => NULL, 'refs' => [ 'ListDataQualityJobDefinitionsRequest$SortBy' => 'The field to sort results by. The default is CreationTime.
Whether to sort results by the Name or CreationTime field. The default is CreationTime.
Whether to sort results by the Name or CreationTime field. The default is CreationTime.
The field to sort results by. The default is CreationTime.
Summary information about a monitoring job.
', 'refs' => [ 'MonitoringJobDefinitionSummaryList$member' => NULL, ], ], 'MonitoringJobDefinitionSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListDataQualityJobDefinitionsResponse$JobDefinitionSummaries' => 'A list of data quality monitoring job definitions.
', 'ListModelBiasJobDefinitionsResponse$JobDefinitionSummaries' => 'A JSON array in which each element is a summary for a model bias jobs.
', 'ListModelExplainabilityJobDefinitionsResponse$JobDefinitionSummaries' => 'A JSON array in which each element is a summary for a explainability bias jobs.
', 'ListModelQualityJobDefinitionsResponse$JobDefinitionSummaries' => 'A list of summaries of model quality monitoring job definitions.
', ], ], 'MonitoringJsonDatasetFormat' => [ 'base' => 'Represents the JSON dataset format used when running a monitoring job.
', 'refs' => [ 'MonitoringDatasetFormat$Json' => 'The JSON dataset used in the monitoring job
', ], ], 'MonitoringMaxRuntimeInSeconds' => [ 'base' => NULL, 'refs' => [ 'MonitoringStoppingCondition$MaxRuntimeInSeconds' => 'The maximum runtime allowed in seconds.
The MaxRuntimeInSeconds cannot exceed the frequency of the job. For data quality and model explainability, this can be up to 3600 seconds for an hourly schedule. For model bias and model quality hourly schedules, this can be up to 1800 seconds.
The networking configuration for the monitoring job.
', 'refs' => [ 'CreateDataQualityJobDefinitionRequest$NetworkConfig' => 'Specifies networking configuration for the monitoring job.
', 'CreateModelBiasJobDefinitionRequest$NetworkConfig' => 'Networking options for a model bias job.
', 'CreateModelExplainabilityJobDefinitionRequest$NetworkConfig' => 'Networking options for a model explainability job.
', 'CreateModelQualityJobDefinitionRequest$NetworkConfig' => 'Specifies the network configuration for the monitoring job.
', 'DescribeDataQualityJobDefinitionResponse$NetworkConfig' => 'The networking configuration for the data quality monitoring job.
', 'DescribeModelBiasJobDefinitionResponse$NetworkConfig' => 'Networking options for a model bias job.
', 'DescribeModelExplainabilityJobDefinitionResponse$NetworkConfig' => 'Networking options for a model explainability job.
', 'DescribeModelQualityJobDefinitionResponse$NetworkConfig' => 'Networking options for a model quality job.
', ], ], 'MonitoringOutput' => [ 'base' => 'The output object for a monitoring job.
', 'refs' => [ 'MonitoringOutputs$member' => NULL, ], ], 'MonitoringOutputConfig' => [ 'base' => 'The output configuration for monitoring jobs.
', 'refs' => [ 'CreateDataQualityJobDefinitionRequest$DataQualityJobOutputConfig' => NULL, 'CreateModelBiasJobDefinitionRequest$ModelBiasJobOutputConfig' => NULL, 'CreateModelExplainabilityJobDefinitionRequest$ModelExplainabilityJobOutputConfig' => NULL, 'CreateModelQualityJobDefinitionRequest$ModelQualityJobOutputConfig' => NULL, 'DescribeDataQualityJobDefinitionResponse$DataQualityJobOutputConfig' => NULL, 'DescribeModelBiasJobDefinitionResponse$ModelBiasJobOutputConfig' => NULL, 'DescribeModelExplainabilityJobDefinitionResponse$ModelExplainabilityJobOutputConfig' => NULL, 'DescribeModelQualityJobDefinitionResponse$ModelQualityJobOutputConfig' => NULL, 'MonitoringJobDefinition$MonitoringOutputConfig' => 'The array of outputs from the monitoring job to be uploaded to Amazon S3.
', ], ], 'MonitoringOutputs' => [ 'base' => NULL, 'refs' => [ 'MonitoringOutputConfig$MonitoringOutputs' => 'Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
', ], ], 'MonitoringParquetDatasetFormat' => [ 'base' => 'Represents the Parquet dataset format used when running a monitoring job.
', 'refs' => [ 'MonitoringDatasetFormat$Parquet' => 'The Parquet dataset used in the monitoring job
', ], ], 'MonitoringProblemType' => [ 'base' => NULL, 'refs' => [ 'ModelQualityAppSpecification$ProblemType' => 'The machine learning problem type of the model that the monitoring job monitors.
', ], ], 'MonitoringResources' => [ 'base' => 'Identifies the resources to deploy for a monitoring job.
', 'refs' => [ 'CreateDataQualityJobDefinitionRequest$JobResources' => NULL, 'CreateModelBiasJobDefinitionRequest$JobResources' => NULL, 'CreateModelExplainabilityJobDefinitionRequest$JobResources' => NULL, 'CreateModelQualityJobDefinitionRequest$JobResources' => NULL, 'DescribeDataQualityJobDefinitionResponse$JobResources' => NULL, 'DescribeModelBiasJobDefinitionResponse$JobResources' => NULL, 'DescribeModelExplainabilityJobDefinitionResponse$JobResources' => NULL, 'DescribeModelQualityJobDefinitionResponse$JobResources' => NULL, 'MonitoringJobDefinition$MonitoringResources' => 'Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job. In distributed processing, you specify more than one instance.
', ], ], 'MonitoringS3Output' => [ 'base' => 'Information about where and how you want to store the results of a monitoring job.
', 'refs' => [ 'MonitoringOutput$S3Output' => 'The Amazon S3 storage location where the results of a monitoring job are saved.
', ], ], 'MonitoringS3Uri' => [ 'base' => NULL, 'refs' => [ 'MonitoringGroundTruthS3Input$S3Uri' => 'The address of the Amazon S3 location of the ground truth labels.
', 'MonitoringS3Output$S3Uri' => 'A URI that identifies the Amazon S3 storage location where Amazon SageMaker AI saves the results of a monitoring job.
', ], ], 'MonitoringSchedule' => [ 'base' => 'A schedule for a model monitoring job. For information about model monitor, see Amazon SageMaker Model Monitor.
', 'refs' => [ 'MonitoringScheduleList$member' => NULL, ], ], 'MonitoringScheduleArn' => [ 'base' => NULL, 'refs' => [ 'CreateMonitoringScheduleResponse$MonitoringScheduleArn' => 'The Amazon Resource Name (ARN) of the monitoring schedule.
', 'DescribeMonitoringScheduleResponse$MonitoringScheduleArn' => 'The Amazon Resource Name (ARN) of the monitoring schedule.
', 'DescribeProcessingJobResponse$MonitoringScheduleArn' => 'The ARN of a monitoring schedule for an endpoint associated with this processing job.
', 'ModelDashboardMonitoringSchedule$MonitoringScheduleArn' => 'The Amazon Resource Name (ARN) of a monitoring schedule.
', 'MonitoringSchedule$MonitoringScheduleArn' => 'The Amazon Resource Name (ARN) of the monitoring schedule.
', 'MonitoringScheduleSummary$MonitoringScheduleArn' => 'The Amazon Resource Name (ARN) of the monitoring schedule.
', 'ProcessingJob$MonitoringScheduleArn' => 'The ARN of a monitoring schedule for an endpoint associated with this processing job.
', 'UpdateMonitoringAlertResponse$MonitoringScheduleArn' => 'The Amazon Resource Name (ARN) of the monitoring schedule.
', 'UpdateMonitoringScheduleResponse$MonitoringScheduleArn' => 'The Amazon Resource Name (ARN) of the monitoring schedule.
', ], ], 'MonitoringScheduleConfig' => [ 'base' => 'Configures the monitoring schedule and defines the monitoring job.
', 'refs' => [ 'CreateMonitoringScheduleRequest$MonitoringScheduleConfig' => 'The configuration object that specifies the monitoring schedule and defines the monitoring job.
', 'DescribeMonitoringScheduleResponse$MonitoringScheduleConfig' => 'The configuration object that specifies the monitoring schedule and defines the monitoring job.
', 'ModelDashboardMonitoringSchedule$MonitoringScheduleConfig' => NULL, 'MonitoringSchedule$MonitoringScheduleConfig' => NULL, 'UpdateMonitoringScheduleRequest$MonitoringScheduleConfig' => 'The configuration object that specifies the monitoring schedule and defines the monitoring job.
', ], ], 'MonitoringScheduleList' => [ 'base' => NULL, 'refs' => [ 'Endpoint$MonitoringSchedules' => 'A list of monitoring schedules for the endpoint. For information about model monitoring, see Amazon SageMaker Model Monitor.
', ], ], 'MonitoringScheduleName' => [ 'base' => NULL, 'refs' => [ 'CreateMonitoringScheduleRequest$MonitoringScheduleName' => 'The name of the monitoring schedule. The name must be unique within an Amazon Web Services Region within an Amazon Web Services account.
', 'DeleteMonitoringScheduleRequest$MonitoringScheduleName' => 'The name of the monitoring schedule to delete.
', 'DescribeMonitoringScheduleRequest$MonitoringScheduleName' => 'Name of a previously created monitoring schedule.
', 'DescribeMonitoringScheduleResponse$MonitoringScheduleName' => 'Name of the monitoring schedule.
', 'ListMonitoringAlertHistoryRequest$MonitoringScheduleName' => 'The name of a monitoring schedule.
', 'ListMonitoringAlertsRequest$MonitoringScheduleName' => 'The name of a monitoring schedule.
', 'ListMonitoringExecutionsRequest$MonitoringScheduleName' => 'Name of a specific schedule to fetch jobs for.
', 'ModelDashboardMonitoringSchedule$MonitoringScheduleName' => 'The name of a monitoring schedule.
', 'MonitoringAlertHistorySummary$MonitoringScheduleName' => 'The name of a monitoring schedule.
', 'MonitoringExecutionSummary$MonitoringScheduleName' => 'The name of the monitoring schedule.
', 'MonitoringSchedule$MonitoringScheduleName' => 'The name of the monitoring schedule.
', 'MonitoringScheduleSummary$MonitoringScheduleName' => 'The name of the monitoring schedule.
', 'StartMonitoringScheduleRequest$MonitoringScheduleName' => 'The name of the schedule to start.
', 'StopMonitoringScheduleRequest$MonitoringScheduleName' => 'The name of the schedule to stop.
', 'UpdateMonitoringAlertRequest$MonitoringScheduleName' => 'The name of a monitoring schedule.
', 'UpdateMonitoringScheduleRequest$MonitoringScheduleName' => 'The name of the monitoring schedule. The name must be unique within an Amazon Web Services Region within an Amazon Web Services account.
', ], ], 'MonitoringScheduleSortKey' => [ 'base' => NULL, 'refs' => [ 'ListMonitoringSchedulesRequest$SortBy' => 'Whether to sort the results by the Status, CreationTime, or ScheduledTime field. The default is CreationTime.
Summarizes the monitoring schedule.
', 'refs' => [ 'MonitoringScheduleSummaryList$member' => NULL, ], ], 'MonitoringScheduleSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListMonitoringSchedulesResponse$MonitoringScheduleSummaries' => 'A JSON array in which each element is a summary for a monitoring schedule.
', ], ], 'MonitoringStatisticsResource' => [ 'base' => 'The statistics resource for a monitoring job.
', 'refs' => [ 'DataQualityBaselineConfig$StatisticsResource' => NULL, 'MonitoringBaselineConfig$StatisticsResource' => 'The baseline statistics file in Amazon S3 that the current monitoring job should be validated against.
', ], ], 'MonitoringStoppingCondition' => [ 'base' => 'A time limit for how long the monitoring job is allowed to run before stopping.
', 'refs' => [ 'CreateDataQualityJobDefinitionRequest$StoppingCondition' => NULL, 'CreateModelBiasJobDefinitionRequest$StoppingCondition' => NULL, 'CreateModelExplainabilityJobDefinitionRequest$StoppingCondition' => NULL, 'CreateModelQualityJobDefinitionRequest$StoppingCondition' => NULL, 'DescribeDataQualityJobDefinitionResponse$StoppingCondition' => NULL, 'DescribeModelBiasJobDefinitionResponse$StoppingCondition' => NULL, 'DescribeModelExplainabilityJobDefinitionResponse$StoppingCondition' => NULL, 'DescribeModelQualityJobDefinitionResponse$StoppingCondition' => NULL, 'MonitoringJobDefinition$StoppingCondition' => 'Specifies a time limit for how long the monitoring job is allowed to run.
', ], ], 'MonitoringTimeOffsetString' => [ 'base' => NULL, 'refs' => [ 'BatchTransformInput$StartTimeOffset' => 'If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
', 'BatchTransformInput$EndTimeOffset' => 'If specified, monitoring jobs subtract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
', 'EndpointInput$StartTimeOffset' => 'If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
', 'EndpointInput$EndTimeOffset' => 'If specified, monitoring jobs substract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
', ], ], 'MonitoringType' => [ 'base' => NULL, 'refs' => [ 'DescribeMonitoringScheduleResponse$MonitoringType' => 'The type of the monitoring job that this schedule runs. This is one of the following values.
DATA_QUALITY - The schedule is for a data quality monitoring job.
MODEL_QUALITY - The schedule is for a model quality monitoring job.
MODEL_BIAS - The schedule is for a bias monitoring job.
MODEL_EXPLAINABILITY - The schedule is for an explainability monitoring job.
A filter that returns only the monitoring job runs of the specified monitoring type.
', 'ListMonitoringSchedulesRequest$MonitoringTypeEquals' => 'A filter that returns only the monitoring schedules for the specified monitoring type.
', 'ModelDashboardMonitoringSchedule$MonitoringType' => 'The monitor type of a model monitor.
', 'MonitoringExecutionSummary$MonitoringType' => 'The type of the monitoring job.
', 'MonitoringSchedule$MonitoringType' => 'The type of the monitoring job definition to schedule.
', 'MonitoringScheduleConfig$MonitoringType' => 'The type of the monitoring job definition to schedule.
', 'MonitoringScheduleSummary$MonitoringType' => 'The type of the monitoring job definition that the schedule is for.
', ], ], 'MountPath' => [ 'base' => NULL, 'refs' => [ 'FileSystemConfig$MountPath' => 'The path within the image to mount the user\'s EFS home directory. The directory should be empty. If not specified, defaults to /home/sagemaker-user.
', ], ], 'MultiModelConfig' => [ 'base' => 'Specifies additional configuration for hosting multi-model endpoints.
', 'refs' => [ 'ContainerDefinition$MultiModelConfig' => 'Specifies additional configuration for multi-model endpoints.
', ], ], 'NameContains' => [ 'base' => NULL, 'refs' => [ 'ListAlgorithmsInput$NameContains' => 'A string in the algorithm name. This filter returns only algorithms whose name contains the specified string.
', 'ListClustersRequest$NameContains' => 'Set the maximum number of instances to print in the list.
', 'ListCompilationJobsRequest$NameContains' => 'A filter that returns the model compilation jobs whose name contains a specified string.
', 'ListDataQualityJobDefinitionsRequest$NameContains' => 'A string in the data quality monitoring job definition name. This filter returns only data quality monitoring job definitions whose name contains the specified string.
', 'ListDeviceFleetsRequest$NameContains' => 'Filter for fleets containing this name in their fleet device name.
', 'ListEdgeDeploymentPlansRequest$NameContains' => 'Selects edge deployment plans with names containing this name.
', 'ListEdgeDeploymentPlansRequest$DeviceFleetNameContains' => 'Selects edge deployment plans with a device fleet name containing this name.
', 'ListEdgePackagingJobsRequest$NameContains' => 'Filter for jobs containing this name in their packaging job name.
', 'ListEdgePackagingJobsRequest$ModelNameContains' => 'Filter for jobs where the model name contains this string.
', 'ListHubContentsRequest$NameContains' => 'Only list hub content if the name contains the specified string.
', 'ListHubsRequest$NameContains' => 'Only list hubs with names that contain the specified string.
', 'ListHyperParameterTuningJobsRequest$NameContains' => 'A string in the tuning job name. This filter returns only tuning jobs whose name contains the specified string.
', 'ListInferenceExperimentsRequest$NameContains' => 'Selects inference experiments whose names contain this name.
', 'ListInferenceRecommendationsJobsRequest$NameContains' => 'A string in the job name. This filter returns only recommendations whose name contains the specified string.
', 'ListLabelingJobsRequest$NameContains' => 'A string in the labeling job name. This filter returns only labeling jobs whose name contains the specified string.
', 'ListModelBiasJobDefinitionsRequest$NameContains' => 'Filter for model bias jobs whose name contains a specified string.
', 'ListModelExplainabilityJobDefinitionsRequest$NameContains' => 'Filter for model explainability jobs whose name contains a specified string.
', 'ListModelPackageGroupsInput$NameContains' => 'A string in the model group name. This filter returns only model groups whose name contains the specified string.
', 'ListModelPackagesInput$NameContains' => 'A string in the model package name. This filter returns only model packages whose name contains the specified string.
', 'ListModelQualityJobDefinitionsRequest$NameContains' => 'A string in the transform job name. This filter returns only model quality monitoring job definitions whose name contains the specified string.
', 'ListMonitoringSchedulesRequest$NameContains' => 'Filter for monitoring schedules whose name contains a specified string.
', 'ListOptimizationJobsRequest$OptimizationContains' => 'Filters the results to only those optimization jobs that apply the specified optimization techniques. You can specify either Quantization or Compilation.
Filters the results to only those optimization jobs with a name that contains the specified string.
', 'ListTrainingJobsRequest$NameContains' => 'A string in the training job name. This filter returns only training jobs whose name contains the specified string.
', 'ListTransformJobsRequest$NameContains' => 'A string in the transform job name. This filter returns only transform jobs whose name contains the specified string.
', ], ], 'NeoVpcConfig' => [ 'base' => 'The VpcConfig configuration object that specifies the VPC that you want the compilation jobs to connect to. For more information on controlling access to your Amazon S3 buckets used for compilation job, see Give Amazon SageMaker AI Compilation Jobs Access to Resources in Your Amazon VPC.
', 'refs' => [ 'CreateCompilationJobRequest$VpcConfig' => 'A VpcConfig object that specifies the VPC that you want your compilation job to connect to. Control access to your models by configuring the VPC. For more information, see Protect Compilation Jobs by Using an Amazon Virtual Private Cloud.
', 'DescribeCompilationJobResponse$VpcConfig' => 'A VpcConfig object that specifies the VPC that you want your compilation job to connect to. Control access to your models by configuring the VPC. For more information, see Protect Compilation Jobs by Using an Amazon Virtual Private Cloud.
', ], ], 'NeoVpcSecurityGroupId' => [ 'base' => NULL, 'refs' => [ 'NeoVpcSecurityGroupIds$member' => NULL, ], ], 'NeoVpcSecurityGroupIds' => [ 'base' => NULL, 'refs' => [ 'NeoVpcConfig$SecurityGroupIds' => 'The VPC security group IDs. IDs have the form of sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
The ID of the subnets in the VPC that you want to connect the compilation job to for accessing the model in Amazon S3.
', ], ], 'NestedFilters' => [ 'base' => 'A list of nested Filter objects. A resource must satisfy the conditions of all filters to be included in the results returned from the Search API.
For example, to filter on a training job\'s InputDataConfig property with a specific channel name and S3Uri prefix, define the following filters:
\'{Name:"InputDataConfig.ChannelName", "Operator":"Equals", "Value":"train"}\',
\'{Name:"InputDataConfig.DataSource.S3DataSource.S3Uri", "Operator":"Contains", "Value":"mybucket/catdata"}\'
A list of nested filter objects.
', ], ], 'NetworkConfig' => [ 'base' => 'Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.
', 'refs' => [ 'CreateProcessingJobRequest$NetworkConfig' => 'Networking options for a processing job, such as whether to allow inbound and outbound network calls to and from processing containers, and the VPC subnets and security groups to use for VPC-enabled processing jobs.
', 'DescribeProcessingJobResponse$NetworkConfig' => 'Networking options for a processing job.
', 'MonitoringJobDefinition$NetworkConfig' => 'Specifies networking options for an monitoring job.
', 'ProcessingJob$NetworkConfig' => NULL, ], ], 'NetworkInterfaceId' => [ 'base' => NULL, 'refs' => [ 'DescribeNotebookInstanceOutput$NetworkInterfaceId' => 'The network interface IDs that SageMaker AI created at the time of creating the instance.
', ], ], 'NextToken' => [ 'base' => NULL, 'refs' => [ 'DescribeDeviceRequest$NextToken' => 'Next token of device description.
', 'DescribeDeviceResponse$NextToken' => 'The response from the last list when returning a list large enough to need tokening.
', 'DescribeEdgeDeploymentPlanRequest$NextToken' => 'If the edge deployment plan has enough stages to require tokening, then this is the response from the last list of stages returned.
', 'DescribeEdgeDeploymentPlanResponse$NextToken' => 'Token to use when calling the next set of stages in the edge deployment plan.
', 'DescribeFeatureGroupRequest$NextToken' => 'A token to resume pagination of the list of Features (FeatureDefinitions). 2,500 Features are returned by default.
A token to resume pagination of the list of Features (FeatureDefinitions).
If the previous call to ListActions didn\'t return the full set of actions, the call returns a token for getting the next set of actions.
A token for getting the next set of actions, if there are any.
', 'ListAlgorithmsInput$NextToken' => 'If the response to a previous ListAlgorithms request was truncated, the response includes a NextToken. To retrieve the next set of algorithms, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of algorithms, use it in the subsequent request.
', 'ListAliasesRequest$NextToken' => 'If the previous call to ListAliases didn\'t return the full set of aliases, the call returns a token for retrieving the next set of aliases.
A token for getting the next set of aliases, if more aliases exist.
', 'ListAppImageConfigsRequest$NextToken' => 'If the previous call to ListImages didn\'t return the full set of AppImageConfigs, the call returns a token for getting the next set of AppImageConfigs.
A token for getting the next set of AppImageConfigs, if there are any.
', 'ListAppsRequest$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListAppsResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListArtifactsRequest$NextToken' => 'If the previous call to ListArtifacts didn\'t return the full set of artifacts, the call returns a token for getting the next set of artifacts.
A token for getting the next set of artifacts, if there are any.
', 'ListAssociationsRequest$NextToken' => 'If the previous call to ListAssociations didn\'t return the full set of associations, the call returns a token for getting the next set of associations.
A token for getting the next set of associations, if there are any.
', 'ListAutoMLJobsRequest$NextToken' => 'If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.
', 'ListAutoMLJobsResponse$NextToken' => 'If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.
', 'ListCandidatesForAutoMLJobRequest$NextToken' => 'If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.
', 'ListCandidatesForAutoMLJobResponse$NextToken' => 'If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.
', 'ListClusterNodesRequest$NextToken' => 'If the result of the previous ListClusterNodes request was truncated, the response includes a NextToken. To retrieve the next set of cluster nodes, use the token in the next request.
The next token specified for listing instances in a SageMaker HyperPod cluster.
', 'ListClusterSchedulerConfigsRequest$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListClusterSchedulerConfigsResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListClustersRequest$NextToken' => 'Set the next token to retrieve the list of SageMaker HyperPod clusters.
', 'ListClustersResponse$NextToken' => 'If the result of the previous ListClusters request was truncated, the response includes a NextToken. To retrieve the next set of clusters, use the token in the next request.
If the result of a ListCodeRepositoriesOutput request was truncated, the response includes a NextToken. To get the next set of Git repositories, use the token in the next request.
If the result of a ListCodeRepositoriesOutput request was truncated, the response includes a NextToken. To get the next set of Git repositories, use the token in the next request.
If the result of the previous ListCompilationJobs request was truncated, the response includes a NextToken. To retrieve the next set of model compilation jobs, use the token in the next request.
If the response is truncated, Amazon SageMaker AI returns this NextToken. To retrieve the next set of model compilation jobs, use this token in the next request.
If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListComputeQuotasResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListContextsRequest$NextToken' => 'If the previous call to ListContexts didn\'t return the full set of contexts, the call returns a token for getting the next set of contexts.
A token for getting the next set of contexts, if there are any.
', 'ListDataQualityJobDefinitionsRequest$NextToken' => 'If the result of the previous ListDataQualityJobDefinitions request was truncated, the response includes a NextToken. To retrieve the next set of transform jobs, use the token in the next request.>
If the result of the previous ListDataQualityJobDefinitions request was truncated, the response includes a NextToken. To retrieve the next set of data quality monitoring job definitions, use the token in the next request.
The response from the last list when returning a list large enough to need tokening.
', 'ListDeviceFleetsResponse$NextToken' => 'The response from the last list when returning a list large enough to need tokening.
', 'ListDevicesRequest$NextToken' => 'The response from the last list when returning a list large enough to need tokening.
', 'ListDevicesResponse$NextToken' => 'The response from the last list when returning a list large enough to need tokening.
', 'ListDomainsRequest$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListDomainsResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListEdgeDeploymentPlansRequest$NextToken' => 'The response from the last list when returning a list large enough to need tokening.
', 'ListEdgeDeploymentPlansResponse$NextToken' => 'The token to use when calling the next page of results.
', 'ListEdgePackagingJobsRequest$NextToken' => 'The response from the last list when returning a list large enough to need tokening.
', 'ListEdgePackagingJobsResponse$NextToken' => 'Token to use when calling the next page of results.
', 'ListExperimentsRequest$NextToken' => 'If the previous call to ListExperiments didn\'t return the full set of experiments, the call returns a token for getting the next set of experiments.
A token for getting the next set of experiments, if there are any.
', 'ListFeatureGroupsRequest$NextToken' => 'A token to resume pagination of ListFeatureGroups results.
A token to resume pagination of ListFeatureGroups results.
A token to resume pagination.
', 'ListFlowDefinitionsResponse$NextToken' => 'A token to resume pagination.
', 'ListHubContentVersionsRequest$NextToken' => 'If the response to a previous ListHubContentVersions request was truncated, the response includes a NextToken. To retrieve the next set of hub content versions, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of hub content versions, use it in the subsequent request.
', 'ListHubContentsRequest$NextToken' => 'If the response to a previous ListHubContents request was truncated, the response includes a NextToken. To retrieve the next set of hub content, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of hub content, use it in the subsequent request.
', 'ListHubsRequest$NextToken' => 'If the response to a previous ListHubs request was truncated, the response includes a NextToken. To retrieve the next set of hubs, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of hubs, use it in the subsequent request.
', 'ListHumanTaskUisRequest$NextToken' => 'A token to resume pagination.
', 'ListHumanTaskUisResponse$NextToken' => 'A token to resume pagination.
', 'ListHyperParameterTuningJobsRequest$NextToken' => 'If the result of the previous ListHyperParameterTuningJobs request was truncated, the response includes a NextToken. To retrieve the next set of tuning jobs, use the token in the next request.
If the result of this ListHyperParameterTuningJobs request was truncated, the response includes a NextToken. To retrieve the next set of tuning jobs, use the token in the next request.
If the previous call to ListImageVersions didn\'t return the full set of versions, the call returns a token for getting the next set of versions.
A token for getting the next set of versions, if there are any.
', 'ListImagesRequest$NextToken' => 'If the previous call to ListImages didn\'t return the full set of images, the call returns a token for getting the next set of images.
A token for getting the next set of images, if there are any.
', 'ListInferenceExperimentsRequest$NextToken' => 'The response from the last list when returning a list large enough to need tokening.
', 'ListInferenceExperimentsResponse$NextToken' => 'The token to use when calling the next page of results.
', 'ListInferenceRecommendationsJobStepsRequest$NextToken' => 'A token that you can specify to return more results from the list. Specify this field if you have a token that was returned from a previous request.
', 'ListInferenceRecommendationsJobStepsResponse$NextToken' => 'A token that you can specify in your next request to return more results from the list.
', 'ListInferenceRecommendationsJobsRequest$NextToken' => 'If the response to a previous ListInferenceRecommendationsJobsRequest request was truncated, the response includes a NextToken. To retrieve the next set of recommendations, use the token in the next request.
A token for getting the next set of recommendations, if there are any.
', 'ListLabelingJobsForWorkteamRequest$NextToken' => 'If the result of the previous ListLabelingJobsForWorkteam request was truncated, the response includes a NextToken. To retrieve the next set of labeling jobs, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of labeling jobs, use it in the subsequent request.
', 'ListLabelingJobsRequest$NextToken' => 'If the result of the previous ListLabelingJobs request was truncated, the response includes a NextToken. To retrieve the next set of labeling jobs, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of labeling jobs, use it in the subsequent request.
', 'ListLineageGroupsRequest$NextToken' => 'If the response is truncated, SageMaker returns this token. To retrieve the next set of algorithms, use it in the subsequent request.
', 'ListLineageGroupsResponse$NextToken' => 'If the response is truncated, SageMaker returns this token. To retrieve the next set of algorithms, use it in the subsequent request.
', 'ListMlflowTrackingServersRequest$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListMlflowTrackingServersResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListModelBiasJobDefinitionsRequest$NextToken' => 'The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
', 'ListModelBiasJobDefinitionsResponse$NextToken' => 'The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
', 'ListModelCardExportJobsRequest$NextToken' => 'If the response to a previous ListModelCardExportJobs request was truncated, the response includes a NextToken. To retrieve the next set of model card export jobs, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of model card export jobs, use it in the subsequent request.
', 'ListModelCardVersionsRequest$NextToken' => 'If the response to a previous ListModelCardVersions request was truncated, the response includes a NextToken. To retrieve the next set of model card versions, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of model card versions, use it in the subsequent request.
', 'ListModelCardsRequest$NextToken' => 'If the response to a previous ListModelCards request was truncated, the response includes a NextToken. To retrieve the next set of model cards, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of model cards, use it in the subsequent request.
', 'ListModelExplainabilityJobDefinitionsRequest$NextToken' => 'The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
', 'ListModelExplainabilityJobDefinitionsResponse$NextToken' => 'The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
', 'ListModelMetadataRequest$NextToken' => 'If the response to a previous ListModelMetadataResponse request was truncated, the response includes a NextToken. To retrieve the next set of model metadata, use the token in the next request.
A token for getting the next set of recommendations, if there are any.
', 'ListModelPackageGroupsInput$NextToken' => 'If the result of the previous ListModelPackageGroups request was truncated, the response includes a NextToken. To retrieve the next set of model groups, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of model groups, use it in the subsequent request.
', 'ListModelPackagesInput$NextToken' => 'If the response to a previous ListModelPackages request was truncated, the response includes a NextToken. To retrieve the next set of model packages, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of model packages, use it in the subsequent request.
', 'ListModelQualityJobDefinitionsRequest$NextToken' => 'If the result of the previous ListModelQualityJobDefinitions request was truncated, the response includes a NextToken. To retrieve the next set of model quality monitoring job definitions, use the token in the next request.
If the response is truncated, Amazon SageMaker AI returns this token. To retrieve the next set of model quality monitoring job definitions, use it in the next request.
', 'ListMonitoringAlertHistoryRequest$NextToken' => 'If the result of the previous ListMonitoringAlertHistory request was truncated, the response includes a NextToken. To retrieve the next set of alerts in the history, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of alerts, use it in the subsequent request.
', 'ListMonitoringAlertsRequest$NextToken' => 'If the result of the previous ListMonitoringAlerts request was truncated, the response includes a NextToken. To retrieve the next set of alerts in the history, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of alerts, use it in the subsequent request.
', 'ListMonitoringExecutionsRequest$NextToken' => 'The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
', 'ListMonitoringExecutionsResponse$NextToken' => 'The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
', 'ListMonitoringSchedulesRequest$NextToken' => 'The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
', 'ListMonitoringSchedulesResponse$NextToken' => 'The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
', 'ListNotebookInstanceLifecycleConfigsInput$NextToken' => 'If the result of a ListNotebookInstanceLifecycleConfigs request was truncated, the response includes a NextToken. To get the next set of lifecycle configurations, use the token in the next request.
If the response is truncated, SageMaker AI returns this token. To get the next set of lifecycle configurations, use it in the next request.
', 'ListNotebookInstancesInput$NextToken' => ' If the previous call to the ListNotebookInstances is truncated, the response includes a NextToken. You can use this token in your subsequent ListNotebookInstances request to fetch the next set of notebook instances.
You might specify a filter or a sort order in your request. When response is truncated, you must use the same values for the filer and sort order in the next request.
If the response to the previous ListNotebookInstances request was truncated, SageMaker AI returns this token. To retrieve the next set of notebook instances, use the token in the next request.
A token that you use to get the next set of results following a truncated response. If the response to the previous request was truncated, that response provides the value for this token.
', 'ListOptimizationJobsResponse$NextToken' => 'The token to use in a subsequent request to get the next set of results following a truncated response.
', 'ListPartnerAppsRequest$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListPartnerAppsResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListPipelineExecutionStepsRequest$NextToken' => 'If the result of the previous ListPipelineExecutionSteps request was truncated, the response includes a NextToken. To retrieve the next set of pipeline execution steps, use the token in the next request.
If the result of the previous ListPipelineExecutionSteps request was truncated, the response includes a NextToken. To retrieve the next set of pipeline execution steps, use the token in the next request.
If the result of the previous ListPipelineExecutions request was truncated, the response includes a NextToken. To retrieve the next set of pipeline executions, use the token in the next request.
If the result of the previous ListPipelineExecutions request was truncated, the response includes a NextToken. To retrieve the next set of pipeline executions, use the token in the next request.
If the result of the previous ListPipelineParametersForExecution request was truncated, the response includes a NextToken. To retrieve the next set of parameters, use the token in the next request.
If the result of the previous ListPipelineParametersForExecution request was truncated, the response includes a NextToken. To retrieve the next set of parameters, use the token in the next request.
If the result of the previous ListPipelines request was truncated, the response includes a NextToken. To retrieve the next set of pipelines, use the token in the next request.
If the result of the previous ListPipelines request was truncated, the response includes a NextToken. To retrieve the next set of pipelines, use the token in the next request.
If the result of the previous ListProcessingJobs request was truncated, the response includes a NextToken. To retrieve the next set of processing jobs, use the token in the next request.
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of processing jobs, use it in the subsequent request.
', 'ListProjectsInput$NextToken' => 'If the result of the previous ListProjects request was truncated, the response includes a NextToken. To retrieve the next set of projects, use the token in the next request.
If the result of the previous ListCompilationJobs request was truncated, the response includes a NextToken. To retrieve the next set of model compilation jobs, use the token in the next request.
A token to resume pagination of ListResourceCatalogs results.
A token to resume pagination of ListResourceCatalogs results.
If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListSpacesResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListStageDevicesRequest$NextToken' => 'The response from the last list when returning a list large enough to neeed tokening.
', 'ListStageDevicesResponse$NextToken' => 'The token to use when calling the next page of results.
', 'ListStudioLifecycleConfigsRequest$NextToken' => 'If the previous call to ListStudioLifecycleConfigs didn\'t return the full set of Lifecycle Configurations, the call returns a token for getting the next set of Lifecycle Configurations.
', 'ListStudioLifecycleConfigsResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListSubscribedWorkteamsRequest$NextToken' => 'If the result of the previous ListSubscribedWorkteams request was truncated, the response includes a NextToken. To retrieve the next set of labeling jobs, use the token in the next request.
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of work teams, use it in the subsequent request.
', 'ListTagsInput$NextToken' => ' If the response to the previous ListTags request is truncated, SageMaker returns this token. To retrieve the next set of tags, use it in the subsequent request.
If response is truncated, SageMaker includes a token in the response. You can use this token in your subsequent request to fetch next set of tokens.
', 'ListTrainingJobsForHyperParameterTuningJobRequest$NextToken' => 'If the result of the previous ListTrainingJobsForHyperParameterTuningJob request was truncated, the response includes a NextToken. To retrieve the next set of training jobs, use the token in the next request.
If the result of this ListTrainingJobsForHyperParameterTuningJob request was truncated, the response includes a NextToken. To retrieve the next set of training jobs, use the token in the next request.
If the result of the previous ListTrainingJobs request was truncated, the response includes a NextToken. To retrieve the next set of training jobs, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of training jobs, use it in the subsequent request.
', 'ListTrainingPlansRequest$NextToken' => 'A token to continue pagination if more results are available.
', 'ListTrainingPlansResponse$NextToken' => 'A token to continue pagination if more results are available.
', 'ListTransformJobsRequest$NextToken' => 'If the result of the previous ListTransformJobs request was truncated, the response includes a NextToken. To retrieve the next set of transform jobs, use the token in the next request.
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of transform jobs, use it in the next request.
', 'ListTrialComponentsRequest$NextToken' => 'If the previous call to ListTrialComponents didn\'t return the full set of components, the call returns a token for getting the next set of components.
A token for getting the next set of components, if there are any.
', 'ListTrialsRequest$NextToken' => 'If the previous call to ListTrials didn\'t return the full set of trials, the call returns a token for getting the next set of trials.
A token for getting the next set of trials, if there are any.
', 'ListUserProfilesRequest$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListUserProfilesResponse$NextToken' => 'If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
', 'ListWorkforcesRequest$NextToken' => 'A token to resume pagination.
', 'ListWorkforcesResponse$NextToken' => 'A token to resume pagination.
', 'ListWorkteamsRequest$NextToken' => 'If the result of the previous ListWorkteams request was truncated, the response includes a NextToken. To retrieve the next set of labeling jobs, use the token in the next request.
If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of work teams, use it in the subsequent request.
', 'SearchRequest$NextToken' => 'If more than MaxResults resources match the specified SearchExpression, the response includes a NextToken. The NextToken can be passed to the next SearchRequest to continue retrieving results.
If the result of the previous Search request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request.
The failure reason for the operation.
', 'OptimizationJobEnvironmentVariables$key' => NULL, 'PartnerAppAdminUserList$member' => NULL, 'PartnerAppArguments$key' => NULL, ], ], 'NonEmptyString64' => [ 'base' => NULL, 'refs' => [ 'CreatePartnerAppRequest$Tier' => 'Indicates the instance type and size of the cluster attached to the SageMaker Partner AI App.
', 'CreateSpaceRequest$SpaceDisplayName' => 'The name of the space that appears in the SageMaker Studio UI.
', 'CustomImageContainerArguments$member' => NULL, 'DescribePartnerAppResponse$Tier' => 'The instance type and size of the cluster attached to the SageMaker Partner AI App.
', 'DescribePartnerAppResponse$Version' => 'The version of the SageMaker Partner AI App.
', 'DescribeSpaceResponse$SpaceDisplayName' => 'The name of the space that appears in the Amazon SageMaker Studio UI.
', 'ErrorInfo$Code' => 'The error code for an invalid or failed operation.
', 'SpaceDetails$SpaceDisplayName' => 'The name of the space that appears in the Studio UI.
', 'UpdatePartnerAppRequest$Tier' => 'Indicates the instance type and size of the cluster attached to the SageMaker Partner AI App.
', 'UpdateSpaceRequest$SpaceDisplayName' => 'The name of the space that appears in the Amazon SageMaker Studio UI.
', ], ], 'NotebookInstanceAcceleratorType' => [ 'base' => NULL, 'refs' => [ 'NotebookInstanceAcceleratorTypes$member' => NULL, ], ], 'NotebookInstanceAcceleratorTypes' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceInput$AcceleratorTypes' => 'This parameter is no longer supported. Elastic Inference (EI) is no longer available.
This parameter was used to specify a list of EI instance types to associate with this notebook instance.
', 'DescribeNotebookInstanceOutput$AcceleratorTypes' => 'This parameter is no longer supported. Elastic Inference (EI) is no longer available.
This parameter was used to specify a list of the EI instance types associated with this notebook instance.
', 'UpdateNotebookInstanceInput$AcceleratorTypes' => 'This parameter is no longer supported. Elastic Inference (EI) is no longer available.
This parameter was used to specify a list of the EI instance types to associate with this notebook instance.
', ], ], 'NotebookInstanceArn' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceOutput$NotebookInstanceArn' => 'The Amazon Resource Name (ARN) of the notebook instance.
', 'DescribeNotebookInstanceOutput$NotebookInstanceArn' => 'The Amazon Resource Name (ARN) of the notebook instance.
', 'NotebookInstanceSummary$NotebookInstanceArn' => 'The Amazon Resource Name (ARN) of the notebook instance.
', ], ], 'NotebookInstanceLifecycleConfigArn' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceLifecycleConfigOutput$NotebookInstanceLifecycleConfigArn' => 'The Amazon Resource Name (ARN) of the lifecycle configuration.
', 'DescribeNotebookInstanceLifecycleConfigOutput$NotebookInstanceLifecycleConfigArn' => 'The Amazon Resource Name (ARN) of the lifecycle configuration.
', 'NotebookInstanceLifecycleConfigSummary$NotebookInstanceLifecycleConfigArn' => 'The Amazon Resource Name (ARN) of the lifecycle configuration.
', ], ], 'NotebookInstanceLifecycleConfigContent' => [ 'base' => NULL, 'refs' => [ 'NotebookInstanceLifecycleHook$Content' => 'A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.
', ], ], 'NotebookInstanceLifecycleConfigList' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceLifecycleConfigInput$OnCreate' => 'A shell script that runs only once, when you create a notebook instance. The shell script must be a base64-encoded string.
', 'CreateNotebookInstanceLifecycleConfigInput$OnStart' => 'A shell script that runs every time you start a notebook instance, including when you create the notebook instance. The shell script must be a base64-encoded string.
', 'DescribeNotebookInstanceLifecycleConfigOutput$OnCreate' => 'The shell script that runs only once, when you create a notebook instance.
', 'DescribeNotebookInstanceLifecycleConfigOutput$OnStart' => 'The shell script that runs every time you start a notebook instance, including when you create the notebook instance.
', 'UpdateNotebookInstanceLifecycleConfigInput$OnCreate' => 'The shell script that runs only once, when you create a notebook instance. The shell script must be a base64-encoded string.
', 'UpdateNotebookInstanceLifecycleConfigInput$OnStart' => 'The shell script that runs every time you start a notebook instance, including when you create the notebook instance. The shell script must be a base64-encoded string.
', ], ], 'NotebookInstanceLifecycleConfigName' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceInput$LifecycleConfigName' => 'The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
', 'CreateNotebookInstanceLifecycleConfigInput$NotebookInstanceLifecycleConfigName' => 'The name of the lifecycle configuration.
', 'DeleteNotebookInstanceLifecycleConfigInput$NotebookInstanceLifecycleConfigName' => 'The name of the lifecycle configuration to delete.
', 'DescribeNotebookInstanceLifecycleConfigInput$NotebookInstanceLifecycleConfigName' => 'The name of the lifecycle configuration to describe.
', 'DescribeNotebookInstanceLifecycleConfigOutput$NotebookInstanceLifecycleConfigName' => 'The name of the lifecycle configuration.
', 'DescribeNotebookInstanceOutput$NotebookInstanceLifecycleConfigName' => 'Returns the name of a notebook instance lifecycle configuration.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance
', 'ListNotebookInstancesInput$NotebookInstanceLifecycleConfigNameContains' => 'A string in the name of a notebook instances lifecycle configuration associated with this notebook instance. This filter returns only notebook instances associated with a lifecycle configuration with a name that contains the specified string.
', 'NotebookInstanceLifecycleConfigSummary$NotebookInstanceLifecycleConfigName' => 'The name of the lifecycle configuration.
', 'NotebookInstanceSummary$NotebookInstanceLifecycleConfigName' => 'The name of a notebook instance lifecycle configuration associated with this notebook instance.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
', 'UpdateNotebookInstanceInput$LifecycleConfigName' => 'The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
', 'UpdateNotebookInstanceLifecycleConfigInput$NotebookInstanceLifecycleConfigName' => 'The name of the lifecycle configuration.
', ], ], 'NotebookInstanceLifecycleConfigNameContains' => [ 'base' => NULL, 'refs' => [ 'ListNotebookInstanceLifecycleConfigsInput$NameContains' => 'A string in the lifecycle configuration name. This filter returns only lifecycle configurations whose name contains the specified string.
', ], ], 'NotebookInstanceLifecycleConfigSortKey' => [ 'base' => NULL, 'refs' => [ 'ListNotebookInstanceLifecycleConfigsInput$SortBy' => 'Sorts the list of results. The default is CreationTime.
The sort order for results.
', ], ], 'NotebookInstanceLifecycleConfigSummary' => [ 'base' => 'Provides a summary of a notebook instance lifecycle configuration.
', 'refs' => [ 'NotebookInstanceLifecycleConfigSummaryList$member' => NULL, ], ], 'NotebookInstanceLifecycleConfigSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListNotebookInstanceLifecycleConfigsOutput$NotebookInstanceLifecycleConfigs' => 'An array of NotebookInstanceLifecycleConfiguration objects, each listing a lifecycle configuration.
Contains the notebook instance lifecycle configuration script.
Each lifecycle configuration script has a limit of 16384 characters.
The value of the $PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.
View Amazon CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances in log stream [notebook-instance-name]/[LifecycleConfigHook].
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
', 'refs' => [ 'NotebookInstanceLifecycleConfigList$member' => NULL, ], ], 'NotebookInstanceName' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceInput$NotebookInstanceName' => 'The name of the new notebook instance.
', 'CreatePresignedNotebookInstanceUrlInput$NotebookInstanceName' => 'The name of the notebook instance.
', 'DeleteNotebookInstanceInput$NotebookInstanceName' => 'The name of the SageMaker AI notebook instance to delete.
', 'DescribeNotebookInstanceInput$NotebookInstanceName' => 'The name of the notebook instance that you want information about.
', 'DescribeNotebookInstanceOutput$NotebookInstanceName' => 'The name of the SageMaker AI notebook instance.
', 'NotebookInstanceSummary$NotebookInstanceName' => 'The name of the notebook instance that you want a summary for.
', 'StartNotebookInstanceInput$NotebookInstanceName' => 'The name of the notebook instance to start.
', 'StopNotebookInstanceInput$NotebookInstanceName' => 'The name of the notebook instance to terminate.
', 'UpdateNotebookInstanceInput$NotebookInstanceName' => 'The name of the notebook instance to update.
', ], ], 'NotebookInstanceNameContains' => [ 'base' => NULL, 'refs' => [ 'ListNotebookInstancesInput$NameContains' => 'A string in the notebook instances\' name. This filter returns only notebook instances whose name contains the specified string.
', ], ], 'NotebookInstanceSortKey' => [ 'base' => NULL, 'refs' => [ 'ListNotebookInstancesInput$SortBy' => 'The field to sort results by. The default is Name.
The sort order for results.
', ], ], 'NotebookInstanceStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeNotebookInstanceOutput$NotebookInstanceStatus' => 'The status of the notebook instance.
', 'ListNotebookInstancesInput$StatusEquals' => 'A filter that returns only notebook instances with the specified status.
', 'NotebookInstanceSummary$NotebookInstanceStatus' => 'The status of the notebook instance.
', ], ], 'NotebookInstanceSummary' => [ 'base' => 'Provides summary information for an SageMaker AI notebook instance.
', 'refs' => [ 'NotebookInstanceSummaryList$member' => NULL, ], ], 'NotebookInstanceSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListNotebookInstancesOutput$NotebookInstances' => 'An array of NotebookInstanceSummary objects, one for each notebook instance.
A JSON object that contains the URL string.
', 'DescribeNotebookInstanceOutput$Url' => 'The URL that you use to connect to the Jupyter notebook that is running in your notebook instance.
', 'NotebookInstanceSummary$Url' => 'The URL that you use to connect to the Jupyter notebook running in your notebook instance.
', ], ], 'NotebookInstanceVolumeSizeInGB' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceInput$VolumeSizeInGB' => 'The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB.
', 'DescribeNotebookInstanceOutput$VolumeSizeInGB' => 'The size, in GB, of the ML storage volume attached to the notebook instance.
', 'UpdateNotebookInstanceInput$VolumeSizeInGB' => 'The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB. ML storage volumes are encrypted, so SageMaker AI can\'t determine the amount of available free space on the volume. Because of this, you can increase the volume size when you update a notebook instance, but you can\'t decrease the volume size. If you want to decrease the size of the ML storage volume in use, create a new notebook instance with the desired size.
', ], ], 'NotebookOutputOption' => [ 'base' => NULL, 'refs' => [ 'SharingSettings$NotebookOutputOption' => 'Whether to include the notebook cell output when sharing the notebook. The default is Disabled.
Configures Amazon SNS notifications of available or expiring work items for work teams.
', 'refs' => [ 'CreateWorkteamRequest$NotificationConfiguration' => 'Configures notification of workers regarding available or expiring work items.
', 'UpdateWorkteamRequest$NotificationConfiguration' => 'Configures SNS topic notifications for available or expiring work items
', 'Workteam$NotificationConfiguration' => 'Configures SNS notifications of available or expiring work items for work teams.
', ], ], 'NotificationTopicArn' => [ 'base' => NULL, 'refs' => [ 'NotificationConfiguration$NotificationTopicArn' => 'The ARN for the Amazon SNS topic to which notifications should be published.
', ], ], 'NumberOfAcceleratorDevices' => [ 'base' => NULL, 'refs' => [ 'InferenceComponentComputeResourceRequirements$NumberOfAcceleratorDevicesRequired' => 'The number of accelerators to allocate to run a model that you assign to an inference component. Accelerators include GPUs and Amazon Web Services Inferentia.
', ], ], 'NumberOfCpuCores' => [ 'base' => NULL, 'refs' => [ 'InferenceComponentComputeResourceRequirements$NumberOfCpuCoresRequired' => 'The number of CPU cores to allocate to run a model that you assign to an inference component.
', ], ], 'NumberOfHumanWorkersPerDataObject' => [ 'base' => NULL, 'refs' => [ 'HumanTaskConfig$NumberOfHumanWorkersPerDataObject' => 'The number of human workers that will label an object.
', 'LabelingJobForWorkteamSummary$NumberOfHumanWorkersPerDataObject' => 'The configured number of workers per data object.
', ], ], 'NumberOfSteps' => [ 'base' => NULL, 'refs' => [ 'Stairs$NumberOfSteps' => 'Specifies how many steps to perform during traffic.
', ], ], 'ObjectiveStatus' => [ 'base' => NULL, 'refs' => [ 'AutoMLCandidate$ObjectiveStatus' => 'The objective\'s status.
', 'HyperParameterTrainingJobSummary$ObjectiveStatus' => 'The status of the objective metric for the training job:
Succeeded: The final objective metric for the training job was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
Pending: The training job is in progress and evaluation of its final objective metric is pending.
Failed: The final objective metric for the training job was not evaluated, and was not used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.
The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
', 'ObjectiveStatusCounters$Pending' => 'The number of training jobs that are in progress and pending evaluation of their final objective metric.
', 'ObjectiveStatusCounters$Failed' => 'The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.
', ], ], 'ObjectiveStatusCounters' => [ 'base' => 'Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of their objective metric. The objective metric status shows whether the final objective metric for the training job has been evaluated by the tuning job and used in the hyperparameter tuning process.
', 'refs' => [ 'DescribeHyperParameterTuningJobResponse$ObjectiveStatusCounters' => 'The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status of their final objective metric, that this tuning job launched.
', 'HyperParameterTuningJobSearchEntity$ObjectiveStatusCounters' => NULL, 'HyperParameterTuningJobSummary$ObjectiveStatusCounters' => 'The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.
', ], ], 'OfflineStoreConfig' => [ 'base' => 'The configuration of an OfflineStore.
Provide an OfflineStoreConfig in a request to CreateFeatureGroup to create an OfflineStore.
To encrypt an OfflineStore using at rest data encryption, specify Amazon Web Services Key Management Service (KMS) key ID, or KMSKeyId, in S3StorageConfig.
Use this to configure an OfflineFeatureStore. This parameter allows you to specify:
The Amazon Simple Storage Service (Amazon S3) location of an OfflineStore.
A configuration for an Amazon Web Services Glue or Amazon Web Services Hive data catalog.
An KMS encryption key to encrypt the Amazon S3 location used for OfflineStore. If KMS encryption key is not specified, by default we encrypt all data at rest using Amazon Web Services KMS key. By defining your bucket-level key for SSE, you can reduce Amazon Web Services KMS requests costs by up to 99 percent.
Format for the offline store table. Supported formats are Glue (Default) and Apache Iceberg.
To learn more about this parameter, see OfflineStoreConfig.
', 'DescribeFeatureGroupResponse$OfflineStoreConfig' => 'The configuration of the offline store. It includes the following configurations:
Amazon S3 location of the offline store.
Configuration of the Glue data catalog.
Table format of the offline store.
Option to disable the automatic creation of a Glue table for the offline store.
Encryption configuration.
The status of OfflineStore.
The status of the OfflineStore. Notifies you if replicating data into the OfflineStore has failed. Returns either: Active or Blocked
Notifies you if replicating data into the OfflineStore has failed. Returns either: Active or Blocked.
An OfflineStore status. Filters by OfflineStore status.
An OfflineStore status.
Use this parameter to configure your OIDC Identity Provider (IdP).
', 'refs' => [ 'CreateWorkforceRequest$OidcConfig' => 'Use this parameter to configure a private workforce using your own OIDC Identity Provider.
Do not use CognitoConfig if you specify values for OidcConfig.
Use this parameter to update your OIDC Identity Provider (IdP) configuration for a workforce made using your own IdP.
', ], ], 'OidcConfigForResponse' => [ 'base' => 'Your OIDC IdP workforce configuration.
', 'refs' => [ 'Workforce$OidcConfig' => 'The configuration of an OIDC Identity Provider (IdP) private workforce.
', ], ], 'OidcEndpoint' => [ 'base' => NULL, 'refs' => [ 'OidcConfig$Issuer' => 'The OIDC IdP issuer used to configure your private workforce.
', 'OidcConfig$AuthorizationEndpoint' => 'The OIDC IdP authorization endpoint used to configure your private workforce.
', 'OidcConfig$TokenEndpoint' => 'The OIDC IdP token endpoint used to configure your private workforce.
', 'OidcConfig$UserInfoEndpoint' => 'The OIDC IdP user information endpoint used to configure your private workforce.
', 'OidcConfig$LogoutEndpoint' => 'The OIDC IdP logout endpoint used to configure your private workforce.
', 'OidcConfig$JwksUri' => 'The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.
', 'OidcConfigForResponse$Issuer' => 'The OIDC IdP issuer used to configure your private workforce.
', 'OidcConfigForResponse$AuthorizationEndpoint' => 'The OIDC IdP authorization endpoint used to configure your private workforce.
', 'OidcConfigForResponse$TokenEndpoint' => 'The OIDC IdP token endpoint used to configure your private workforce.
', 'OidcConfigForResponse$UserInfoEndpoint' => 'The OIDC IdP user information endpoint used to configure your private workforce.
', 'OidcConfigForResponse$LogoutEndpoint' => 'The OIDC IdP logout endpoint used to configure your private workforce.
', 'OidcConfigForResponse$JwksUri' => 'The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.
', ], ], 'OidcMemberDefinition' => [ 'base' => 'A list of user groups that exist in your OIDC Identity Provider (IdP). One to ten groups can be used to create a single private work team. When you add a user group to the list of Groups, you can add that user group to one or more private work teams. If you add a user group to a private work team, all workers in that user group are added to the work team.
A list user groups that exist in your OIDC Identity Provider (IdP). One to ten groups can be used to create a single private work team. When you add a user group to the list of Groups, you can add that user group to one or more private work teams. If you add a user group to a private work team, all workers in that user group are added to the work team.
A flag indicating whether deep health checks should be performed when the cluster instance group is created or updated.
', 'ClusterInstanceGroupSpecification$OnStartDeepHealthChecks' => 'A flag indicating whether deep health checks should be performed when the cluster instance group is created or updated.
', ], ], 'OnlineStoreConfig' => [ 'base' => 'Use this to specify the Amazon Web Services Key Management Service (KMS) Key ID, or KMSKeyId, for at rest data encryption. You can turn OnlineStore on or off by specifying the EnableOnlineStore flag at General Assembly.
The default value is False.
You can turn the OnlineStore on or off by specifying True for the EnableOnlineStore flag in OnlineStoreConfig.
You can also include an Amazon Web Services KMS key ID (KMSKeyId) for at-rest encryption of the OnlineStore.
The default value is False.
The configuration for the OnlineStore.
Updates the feature group online store configuration.
', 'refs' => [ 'UpdateFeatureGroupRequest$OnlineStoreConfig' => 'Updates the feature group online store configuration.
', ], ], 'OnlineStoreSecurityConfig' => [ 'base' => 'The security configuration for OnlineStore.
Use to specify KMS Key ID (KMSKeyId) for at-rest encryption of your OnlineStore.
The size of the OnlineStore in bytes.
A Boolean binary operator that is used to evaluate the filter. The operator field contains one of the following values:
The value of Name equals Value.
The value of Name doesn\'t equal Value.
The Name property exists.
The Name property does not exist.
The value of Name is greater than Value. Not supported for text properties.
The value of Name is greater than or equal to Value. Not supported for text properties.
The value of Name is less than Value. Not supported for text properties.
The value of Name is less than or equal to Value. Not supported for text properties.
The value of Name is one of the comma delimited strings in Value. Only supported for text properties.
The value of Name contains the string Value. Only supported for text properties.
A SearchExpression can include the Contains operator multiple times when the value of Name is one of the following:
Experiment.DisplayName
Experiment.ExperimentName
Experiment.Tags
Trial.DisplayName
Trial.TrialName
Trial.Tags
TrialComponent.DisplayName
TrialComponent.TrialComponentName
TrialComponent.Tags
TrialComponent.InputArtifacts
TrialComponent.OutputArtifacts
A SearchExpression can include only one Contains operator for all other values of Name. In these cases, if you include multiple Contains operators in the SearchExpression, the result is the following error message: "\'CONTAINS\' operator usage limit of 1 exceeded."
Settings for an optimization technique that you apply with a model optimization job.
', 'refs' => [ 'OptimizationConfigs$member' => NULL, ], ], 'OptimizationConfigs' => [ 'base' => NULL, 'refs' => [ 'CreateOptimizationJobRequest$OptimizationConfigs' => 'Settings for each of the optimization techniques that the job applies.
', 'DescribeOptimizationJobResponse$OptimizationConfigs' => 'Settings for each of the optimization techniques that the job applies.
', ], ], 'OptimizationContainerImage' => [ 'base' => NULL, 'refs' => [ 'ModelCompilationConfig$Image' => 'The URI of an LMI DLC in Amazon ECR. SageMaker uses this image to run the optimization.
', 'ModelQuantizationConfig$Image' => 'The URI of an LMI DLC in Amazon ECR. SageMaker uses this image to run the optimization.
', 'ModelShardingConfig$Image' => 'The URI of an LMI DLC in Amazon ECR. SageMaker uses this image to run the optimization.
', 'OptimizationOutput$RecommendedInferenceImage' => 'The image that SageMaker recommends that you use to host the optimized model that you created with an optimization job.
', ], ], 'OptimizationJobArn' => [ 'base' => NULL, 'refs' => [ 'CreateOptimizationJobResponse$OptimizationJobArn' => 'The Amazon Resource Name (ARN) of the optimization job.
', 'DescribeOptimizationJobResponse$OptimizationJobArn' => 'The Amazon Resource Name (ARN) of the optimization job.
', 'OptimizationJobSummary$OptimizationJobArn' => 'The Amazon Resource Name (ARN) of the optimization job.
', ], ], 'OptimizationJobDeploymentInstanceType' => [ 'base' => NULL, 'refs' => [ 'CreateOptimizationJobRequest$DeploymentInstanceType' => 'The type of instance that hosts the optimized model that you create with the optimization job.
', 'DescribeOptimizationJobResponse$DeploymentInstanceType' => 'The type of instance that hosts the optimized model that you create with the optimization job.
', 'OptimizationJobSummary$DeploymentInstanceType' => 'The type of instance that hosts the optimized model that you create with the optimization job.
', ], ], 'OptimizationJobEnvironmentVariables' => [ 'base' => NULL, 'refs' => [ 'CreateOptimizationJobRequest$OptimizationEnvironment' => 'The environment variables to set in the model container.
', 'DescribeOptimizationJobResponse$OptimizationEnvironment' => 'The environment variables to set in the model container.
', 'ModelCompilationConfig$OverrideEnvironment' => 'Environment variables that override the default ones in the model container.
', 'ModelQuantizationConfig$OverrideEnvironment' => 'Environment variables that override the default ones in the model container.
', 'ModelShardingConfig$OverrideEnvironment' => 'Environment variables that override the default ones in the model container.
', ], ], 'OptimizationJobModelSource' => [ 'base' => 'The location of the source model to optimize with an optimization job.
', 'refs' => [ 'CreateOptimizationJobRequest$ModelSource' => 'The location of the source model to optimize with an optimization job.
', 'DescribeOptimizationJobResponse$ModelSource' => 'The location of the source model to optimize with an optimization job.
', ], ], 'OptimizationJobModelSourceS3' => [ 'base' => 'The Amazon S3 location of a source model to optimize with an optimization job.
', 'refs' => [ 'OptimizationJobModelSource$S3' => 'The Amazon S3 location of a source model to optimize with an optimization job.
', ], ], 'OptimizationJobOutputConfig' => [ 'base' => 'Details for where to store the optimized model that you create with the optimization job.
', 'refs' => [ 'CreateOptimizationJobRequest$OutputConfig' => 'Details for where to store the optimized model that you create with the optimization job.
', 'DescribeOptimizationJobResponse$OutputConfig' => 'Details for where to store the optimized model that you create with the optimization job.
', ], ], 'OptimizationJobStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeOptimizationJobResponse$OptimizationJobStatus' => 'The current status of the optimization job.
', 'ListOptimizationJobsRequest$StatusEquals' => 'Filters the results to only those optimization jobs with the specified status.
', 'OptimizationJobSummary$OptimizationJobStatus' => 'The current status of the optimization job.
', ], ], 'OptimizationJobSummaries' => [ 'base' => NULL, 'refs' => [ 'ListOptimizationJobsResponse$OptimizationJobSummaries' => 'A list of optimization jobs and their properties that matches any of the filters you specified in the request.
', ], ], 'OptimizationJobSummary' => [ 'base' => 'Summarizes an optimization job by providing some of its key properties.
', 'refs' => [ 'OptimizationJobSummaries$member' => NULL, ], ], 'OptimizationModelAcceptEula' => [ 'base' => NULL, 'refs' => [ 'OptimizationModelAccessConfig$AcceptEula' => 'Specifies agreement to the model end-user license agreement (EULA). The AcceptEula value must be explicitly defined as True in order to accept the EULA that this model requires. You are responsible for reviewing and complying with any applicable license terms and making sure they are acceptable for your use case before downloading or using a model.
The access configuration settings for the source ML model for an optimization job, where you can accept the model end-user license agreement (EULA).
', 'refs' => [ 'OptimizationJobModelSourceS3$ModelAccessConfig' => 'The access configuration settings for the source ML model for an optimization job, where you can accept the model end-user license agreement (EULA).
', ], ], 'OptimizationOutput' => [ 'base' => 'Output values produced by an optimization job.
', 'refs' => [ 'DescribeOptimizationJobResponse$OptimizationOutput' => 'Output values produced by an optimization job.
', ], ], 'OptimizationType' => [ 'base' => NULL, 'refs' => [ 'OptimizationTypes$member' => NULL, ], ], 'OptimizationTypes' => [ 'base' => NULL, 'refs' => [ 'OptimizationJobSummary$OptimizationTypes' => 'The optimization techniques that are applied by the optimization job.
', ], ], 'OptimizationVpcConfig' => [ 'base' => 'A VPC in Amazon VPC that\'s accessible to an optimized that you create with an optimization job. You can control access to and from your resources by configuring a VPC. For more information, see Give SageMaker Access to Resources in your Amazon VPC.
', 'refs' => [ 'CreateOptimizationJobRequest$VpcConfig' => 'A VPC in Amazon VPC that your optimized model has access to.
', 'DescribeOptimizationJobResponse$VpcConfig' => 'A VPC in Amazon VPC that your optimized model has access to.
', ], ], 'OptimizationVpcSecurityGroupId' => [ 'base' => NULL, 'refs' => [ 'OptimizationVpcSecurityGroupIds$member' => NULL, ], ], 'OptimizationVpcSecurityGroupIds' => [ 'base' => NULL, 'refs' => [ 'OptimizationVpcConfig$SecurityGroupIds' => 'The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
The ID of the subnets in the VPC to which you want to connect your optimized model.
', ], ], 'OptionalDouble' => [ 'base' => NULL, 'refs' => [ 'TrialComponentMetricSummary$Max' => 'The maximum value of the metric.
', 'TrialComponentMetricSummary$Min' => 'The minimum value of the metric.
', 'TrialComponentMetricSummary$Last' => 'The most recent value of the metric.
', 'TrialComponentMetricSummary$Avg' => 'The average value of the metric.
', 'TrialComponentMetricSummary$StdDev' => 'The standard deviation of the metric.
', ], ], 'OptionalInteger' => [ 'base' => NULL, 'refs' => [ 'TrialComponentMetricSummary$Count' => 'The number of samples used to generate the metric.
', ], ], 'OptionalVolumeSizeInGB' => [ 'base' => NULL, 'refs' => [ 'DebugRuleConfiguration$VolumeSizeInGB' => 'The size, in GB, of the ML storage volume attached to the processing instance.
', 'HyperParameterTuningResourceConfig$VolumeSizeInGB' => 'The volume size in GB for the storage volume to be used in processing hyperparameter optimization jobs (optional). These volumes store model artifacts, incremental states and optionally, scratch space for training algorithms. Do not provide a value for this parameter if a value for InstanceConfigs is also specified.
Some instance types have a fixed total local storage size. If you select one of these instances for training, VolumeSizeInGB cannot be greater than this total size. For a list of instance types with local instance storage and their sizes, see instance store volumes.
SageMaker supports only the General Purpose SSD (gp2) storage volume type.
The size, in GB, of the ML storage volume attached to the processing instance.
', ], ], 'OrderKey' => [ 'base' => NULL, 'refs' => [ 'ListEndpointConfigsInput$SortOrder' => 'The sort order for results. The default is Descending.
The sort order for results. The default is Descending.
The sort order for results. The default is Descending.
The sort order for results. The default is Descending.
The model output compression type. Select None to output an uncompressed model, recommended for large model outputs. Defaults to gzip.
Contains information about the output location for the compiled model and the target device that the model runs on. TargetDevice and TargetPlatform are mutually exclusive, so you need to choose one between the two to specify your target device or platform. If you cannot find your device you want to use from the TargetDevice list, use TargetPlatform to describe the platform of your edge device and CompilerOptions if there are specific settings that are required or recommended to use for particular TargetPlatform.
Provides information about the output location for the compiled model and the target device the model runs on.
', 'DescribeCompilationJobResponse$OutputConfig' => 'Information about the output location for the compiled model and the target device that the model runs on.
', ], ], 'OutputDataConfig' => [ 'base' => 'Provides information about how to store model training results (model artifacts).
', 'refs' => [ 'CreateTrainingJobRequest$OutputDataConfig' => 'Specifies the path to the S3 location where you want to store model artifacts. SageMaker creates subfolders for the artifacts.
', 'DescribeTrainingJobResponse$OutputDataConfig' => 'The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates subfolders for model artifacts.
', 'HyperParameterTrainingJobDefinition$OutputDataConfig' => 'Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning job launches.
', 'TrainingJob$OutputDataConfig' => 'The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates subfolders for model artifacts.
', 'TrainingJobDefinition$OutputDataConfig' => 'the path to the S3 bucket where you want to store model artifacts. SageMaker creates subfolders for the artifacts.
', ], ], 'OutputParameter' => [ 'base' => 'An output parameter of a pipeline step.
', 'refs' => [ 'OutputParameterList$member' => NULL, ], ], 'OutputParameterList' => [ 'base' => NULL, 'refs' => [ 'CallbackStepMetadata$OutputParameters' => 'A list of the output parameters of the callback step.
', 'LambdaStepMetadata$OutputParameters' => 'A list of the output parameters of the Lambda step.
', 'SendPipelineExecutionStepSuccessRequest$OutputParameters' => 'A list of the output parameters of the callback step.
', ], ], 'OwnershipSettings' => [ 'base' => 'The collection of ownership settings for a space.
', 'refs' => [ 'CreateSpaceRequest$OwnershipSettings' => 'A collection of ownership settings.
', 'DescribeSpaceResponse$OwnershipSettings' => 'The collection of ownership settings for a space.
', ], ], 'OwnershipSettingsSummary' => [ 'base' => 'Specifies summary information about the ownership settings.
', 'refs' => [ 'SpaceDetails$OwnershipSettingsSummary' => 'Specifies summary information about the ownership settings.
', ], ], 'PaginationToken' => [ 'base' => NULL, 'refs' => [ 'ListEndpointConfigsInput$NextToken' => 'If the result of the previous ListEndpointConfig request was truncated, the response includes a NextToken. To retrieve the next set of endpoint configurations, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of endpoint configurations, use it in the subsequent request
', 'ListEndpointsInput$NextToken' => 'If the result of a ListEndpoints request was truncated, the response includes a NextToken. To retrieve the next set of endpoints, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of training jobs, use it in the subsequent request.
', 'ListInferenceComponentsInput$NextToken' => 'A token that you use to get the next set of results following a truncated response. If the response to the previous request was truncated, that response provides the value for this token.
', 'ListInferenceComponentsOutput$NextToken' => 'The token to use in a subsequent request to get the next set of results following a truncated response.
', 'ListModelsInput$NextToken' => 'If the response to a previous ListModels request was truncated, the response includes a NextToken. To retrieve the next set of models, use the token in the next request.
If the response is truncated, SageMaker returns this token. To retrieve the next set of models, use it in the subsequent request.
', ], ], 'ParallelismConfiguration' => [ 'base' => 'Configuration that controls the parallelism of the pipeline. By default, the parallelism configuration specified applies to all executions of the pipeline unless overridden.
', 'refs' => [ 'CreatePipelineRequest$ParallelismConfiguration' => 'This is the configuration that controls the parallelism of the pipeline. If specified, it applies to all runs of this pipeline by default.
', 'DescribePipelineExecutionResponse$ParallelismConfiguration' => 'The parallelism configuration applied to the pipeline.
', 'DescribePipelineResponse$ParallelismConfiguration' => 'Lists the parallelism configuration applied to the pipeline.
', 'Pipeline$ParallelismConfiguration' => 'The parallelism configuration applied to the pipeline.
', 'PipelineExecution$ParallelismConfiguration' => 'The parallelism configuration applied to the pipeline execution.
', 'RetryPipelineExecutionRequest$ParallelismConfiguration' => 'This configuration, if specified, overrides the parallelism configuration of the parent pipeline.
', 'StartPipelineExecutionRequest$ParallelismConfiguration' => 'This configuration, if specified, overrides the parallelism configuration of the parent pipeline for this specific run.
', 'UpdatePipelineExecutionRequest$ParallelismConfiguration' => 'This configuration, if specified, overrides the parallelism configuration of the parent pipeline for this specific run.
', 'UpdatePipelineRequest$ParallelismConfiguration' => 'If specified, it applies to all executions of this pipeline by default.
', ], ], 'Parameter' => [ 'base' => 'Assigns a value to a named Pipeline parameter.
', 'refs' => [ 'ParameterList$member' => NULL, ], ], 'ParameterKey' => [ 'base' => NULL, 'refs' => [ 'AutoParameter$Name' => 'The name of the hyperparameter to optimize using Autotune.
', 'CategoricalParameterRange$Name' => 'The name of the categorical hyperparameter to tune.
', 'ContinuousParameterRange$Name' => 'The name of the continuous hyperparameter to tune.
', 'IntegerParameterRange$Name' => 'The name of the hyperparameter to search.
', ], ], 'ParameterList' => [ 'base' => NULL, 'refs' => [ 'ListPipelineParametersForExecutionResponse$PipelineParameters' => 'Contains a list of pipeline parameters. This list can be empty.
', 'PipelineExecution$PipelineParameters' => 'Contains a list of pipeline parameters. This list can be empty.
', 'StartPipelineExecutionRequest$PipelineParameters' => 'Contains a list of pipeline parameters. This list can be empty.
', ], ], 'ParameterName' => [ 'base' => NULL, 'refs' => [ 'HyperParameterSpecification$Name' => 'The name of this hyperparameter. The name must be unique.
', ], ], 'ParameterRange' => [ 'base' => 'Defines the possible values for categorical, continuous, and integer hyperparameters to be used by an algorithm.
', 'refs' => [ 'HyperParameterSpecification$Range' => 'The allowed range for this hyperparameter.
', ], ], 'ParameterRanges' => [ 'base' => 'Specifies ranges of integer, continuous, and categorical hyperparameters that a hyperparameter tuning job searches. The hyperparameter tuning job launches training jobs with hyperparameter values within these ranges to find the combination of values that result in the training job with the best performance as measured by the objective metric of the hyperparameter tuning job.
The maximum number of items specified for Array Members refers to the maximum number of hyperparameters for each range and also the maximum for the hyperparameter tuning job itself. That is, the sum of the number of hyperparameters for all the ranges can\'t exceed the maximum number specified.
The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches over to find the optimal configuration for the highest model performance against your chosen objective metric.
', ], ], 'ParameterType' => [ 'base' => NULL, 'refs' => [ 'HyperParameterSpecification$Type' => 'The type of this hyperparameter. The valid types are Integer, Continuous, Categorical, and FreeText.
An example value of the hyperparameter to optimize using Autotune.
', 'ContinuousParameterRange$MinValue' => 'The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.
The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.
The minimum floating-point value allowed.
', 'ContinuousParameterRangeSpecification$MaxValue' => 'The maximum floating-point value allowed.
', 'IntegerParameterRange$MinValue' => 'The minimum value of the hyperparameter to search.
', 'IntegerParameterRange$MaxValue' => 'The maximum value of the hyperparameter to search.
', 'IntegerParameterRangeSpecification$MinValue' => 'The minimum integer value allowed.
', 'IntegerParameterRangeSpecification$MaxValue' => 'The maximum integer value allowed.
', 'ParameterValues$member' => NULL, ], ], 'ParameterValues' => [ 'base' => NULL, 'refs' => [ 'CategoricalParameterRange$Values' => 'A list of the categories for the hyperparameter.
', 'CategoricalParameterRangeSpecification$Values' => 'The allowed categories for the hyperparameter.
', ], ], 'Parent' => [ 'base' => 'The trial that a trial component is associated with and the experiment the trial is part of. A component might not be associated with a trial. A component can be associated with multiple trials.
', 'refs' => [ 'Parents$member' => NULL, ], ], 'ParentHyperParameterTuningJob' => [ 'base' => 'A previously completed or stopped hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
', 'refs' => [ 'ParentHyperParameterTuningJobs$member' => NULL, ], ], 'ParentHyperParameterTuningJobs' => [ 'base' => NULL, 'refs' => [ 'HyperParameterTuningJobWarmStartConfig$ParentHyperParameterTuningJobs' => 'An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job. For more information about warm starting a hyperparameter tuning job, see Using a Previous Hyperparameter Tuning Job as a Starting Point.
Hyperparameter tuning jobs created before October 1, 2018 cannot be used as parent jobs for warm start tuning jobs.
', ], ], 'Parents' => [ 'base' => NULL, 'refs' => [ 'TrialComponent$Parents' => 'An array of the parents of the component. A parent is a trial the component is associated with and the experiment the trial is part of. A component might not have any parents.
', ], ], 'PartnerAppAdminUserList' => [ 'base' => NULL, 'refs' => [ 'PartnerAppConfig$AdminUsers' => 'The list of users that are given admin access to the SageMaker Partner AI App.
', ], ], 'PartnerAppArguments' => [ 'base' => NULL, 'refs' => [ 'PartnerAppConfig$Arguments' => 'This is a map of required inputs for a SageMaker Partner AI App. Based on the application type, the map is populated with a key and value pair that is specific to the user and application.
', ], ], 'PartnerAppArn' => [ 'base' => NULL, 'refs' => [ 'CreatePartnerAppPresignedUrlRequest$Arn' => 'The ARN of the SageMaker Partner AI App to create the presigned URL for.
', 'CreatePartnerAppResponse$Arn' => 'The ARN of the SageMaker Partner AI App.
', 'DeletePartnerAppRequest$Arn' => 'The ARN of the SageMaker Partner AI App to delete.
', 'DeletePartnerAppResponse$Arn' => 'The ARN of the SageMaker Partner AI App that was deleted.
', 'DescribePartnerAppRequest$Arn' => 'The ARN of the SageMaker Partner AI App to describe.
', 'DescribePartnerAppResponse$Arn' => 'The ARN of the SageMaker Partner AI App that was described.
', 'PartnerAppSummary$Arn' => 'The ARN of the SageMaker Partner AI App.
', 'UpdatePartnerAppRequest$Arn' => 'The ARN of the SageMaker Partner AI App to update.
', 'UpdatePartnerAppResponse$Arn' => 'The ARN of the SageMaker Partner AI App that was updated.
', ], ], 'PartnerAppAuthType' => [ 'base' => NULL, 'refs' => [ 'CreatePartnerAppRequest$AuthType' => 'The authorization type that users use to access the SageMaker Partner AI App.
', 'DescribePartnerAppResponse$AuthType' => 'The authorization type that users use to access the SageMaker Partner AI App.
', ], ], 'PartnerAppConfig' => [ 'base' => 'Configuration settings for the SageMaker Partner AI App.
', 'refs' => [ 'CreatePartnerAppRequest$ApplicationConfig' => 'Configuration settings for the SageMaker Partner AI App.
', 'DescribePartnerAppResponse$ApplicationConfig' => 'Configuration settings for the SageMaker Partner AI App.
', 'UpdatePartnerAppRequest$ApplicationConfig' => 'Configuration settings for the SageMaker Partner AI App.
', ], ], 'PartnerAppMaintenanceConfig' => [ 'base' => 'Maintenance configuration settings for the SageMaker Partner AI App.
', 'refs' => [ 'CreatePartnerAppRequest$MaintenanceConfig' => 'Maintenance configuration settings for the SageMaker Partner AI App.
', 'DescribePartnerAppResponse$MaintenanceConfig' => 'Maintenance configuration settings for the SageMaker Partner AI App.
', 'UpdatePartnerAppRequest$MaintenanceConfig' => 'Maintenance configuration settings for the SageMaker Partner AI App.
', ], ], 'PartnerAppName' => [ 'base' => NULL, 'refs' => [ 'CreatePartnerAppRequest$Name' => 'The name to give the SageMaker Partner AI App.
', 'DescribePartnerAppResponse$Name' => 'The name of the SageMaker Partner AI App.
', 'PartnerAppSummary$Name' => 'The name of the SageMaker Partner AI App.
', ], ], 'PartnerAppStatus' => [ 'base' => NULL, 'refs' => [ 'DescribePartnerAppResponse$Status' => 'The status of the SageMaker Partner AI App.
', 'PartnerAppSummary$Status' => 'The status of the SageMaker Partner AI App.
', ], ], 'PartnerAppSummaries' => [ 'base' => NULL, 'refs' => [ 'ListPartnerAppsResponse$Summaries' => 'The information related to each of the SageMaker Partner AI Apps in an account.
', ], ], 'PartnerAppSummary' => [ 'base' => 'A subset of information related to a SageMaker Partner AI App. This information is used as part of the ListPartnerApps API response.
The type of SageMaker Partner AI App to create. Must be one of the following: lakera-guard, comet, deepchecks-llm-evaluation, or fiddler.
The type of SageMaker Partner AI App. Must be one of the following: lakera-guard, comet, deepchecks-llm-evaluation, or fiddler.
The type of SageMaker Partner AI App to create. Must be one of the following: lakera-guard, comet, deepchecks-llm-evaluation, or fiddler.
The summary of an in-progress deployment when an endpoint is creating or updating with a new endpoint configuration.
', 'refs' => [ 'DescribeEndpointOutput$PendingDeploymentSummary' => 'Returns the summary of an in-progress deployment. This field is only returned when the endpoint is creating or updating with a new endpoint configuration.
', ], ], 'PendingProductionVariantSummary' => [ 'base' => 'The production variant summary for a deployment when an endpoint is creating or updating with the CreateEndpoint or UpdateEndpoint operations. Describes the VariantStatus , weight and capacity for a production variant associated with an endpoint.
An array of PendingProductionVariantSummary objects, one for each model hosted behind this endpoint for the in-progress deployment.
', 'PendingDeploymentSummary$ShadowProductionVariants' => 'An array of PendingProductionVariantSummary objects, one for each model hosted behind this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants for the in-progress deployment.
Percentage of devices in the fleet to deploy to the current stage.
', 'ShadowModelVariantConfig$SamplingPercentage' => 'The percentage of inference requests that Amazon SageMaker replicates from the production variant to the shadow variant.
', ], ], 'Phase' => [ 'base' => 'Defines the traffic pattern.
', 'refs' => [ 'Phases$member' => NULL, ], ], 'Phases' => [ 'base' => NULL, 'refs' => [ 'TrafficPattern$Phases' => 'Defines the phases traffic specification.
', ], ], 'Pipeline' => [ 'base' => 'A SageMaker Model Building Pipeline instance.
', 'refs' => [ 'SearchRecord$Pipeline' => NULL, ], ], 'PipelineArn' => [ 'base' => NULL, 'refs' => [ 'CreatePipelineResponse$PipelineArn' => 'The Amazon Resource Name (ARN) of the created pipeline.
', 'DeletePipelineResponse$PipelineArn' => 'The Amazon Resource Name (ARN) of the pipeline to delete.
', 'DescribePipelineExecutionResponse$PipelineArn' => 'The Amazon Resource Name (ARN) of the pipeline.
', 'DescribePipelineResponse$PipelineArn' => 'The Amazon Resource Name (ARN) of the pipeline.
', 'Pipeline$PipelineArn' => 'The Amazon Resource Name (ARN) of the pipeline.
', 'PipelineExecution$PipelineArn' => 'The Amazon Resource Name (ARN) of the pipeline that was executed.
', 'PipelineSummary$PipelineArn' => 'The Amazon Resource Name (ARN) of the pipeline.
', 'UpdatePipelineResponse$PipelineArn' => 'The Amazon Resource Name (ARN) of the updated pipeline.
', ], ], 'PipelineDefinition' => [ 'base' => NULL, 'refs' => [ 'CreatePipelineRequest$PipelineDefinition' => 'The JSON pipeline definition of the pipeline.
', 'DescribePipelineDefinitionForExecutionResponse$PipelineDefinition' => 'The JSON pipeline definition.
', 'DescribePipelineResponse$PipelineDefinition' => 'The JSON pipeline definition.
', 'UpdatePipelineRequest$PipelineDefinition' => 'The JSON pipeline definition.
', ], ], 'PipelineDefinitionS3Location' => [ 'base' => 'The location of the pipeline definition stored in Amazon S3.
', 'refs' => [ 'CreatePipelineRequest$PipelineDefinitionS3Location' => 'The location of the pipeline definition stored in Amazon S3. If specified, SageMaker will retrieve the pipeline definition from this location.
', 'UpdatePipelineRequest$PipelineDefinitionS3Location' => 'The location of the pipeline definition stored in Amazon S3. If specified, SageMaker will retrieve the pipeline definition from this location.
', ], ], 'PipelineDescription' => [ 'base' => NULL, 'refs' => [ 'CreatePipelineRequest$PipelineDescription' => 'A description of the pipeline.
', 'DescribePipelineResponse$PipelineDescription' => 'The description of the pipeline.
', 'Pipeline$PipelineDescription' => 'The description of the pipeline.
', 'PipelineSummary$PipelineDescription' => 'The description of the pipeline.
', 'UpdatePipelineRequest$PipelineDescription' => 'The description of the pipeline.
', ], ], 'PipelineExecution' => [ 'base' => 'An execution of a pipeline.
', 'refs' => [ 'SearchRecord$PipelineExecution' => NULL, ], ], 'PipelineExecutionArn' => [ 'base' => NULL, 'refs' => [ 'CacheHitResult$SourcePipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'DescribePipelineDefinitionForExecutionRequest$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'DescribePipelineExecutionRequest$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'DescribePipelineExecutionResponse$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'ListPipelineExecutionStepsRequest$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'ListPipelineParametersForExecutionRequest$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'PipelineExecution$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'PipelineExecutionSummary$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'RetryPipelineExecutionRequest$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'RetryPipelineExecutionResponse$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'SelectiveExecutionConfig$SourcePipelineExecutionArn' => 'The ARN from a reference execution of the current pipeline. Used to copy input collaterals needed for the selected steps to run. The execution status of the pipeline can be either Failed or Success.
This field is required if the steps you specify for SelectedSteps depend on output collaterals from any non-specified pipeline steps. For more information, see Selective Execution for Pipeline Steps.
The ARN from an execution of the current pipeline.
', 'SendPipelineExecutionStepFailureResponse$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'SendPipelineExecutionStepSuccessResponse$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'StartPipelineExecutionResponse$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'StopPipelineExecutionRequest$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'StopPipelineExecutionResponse$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'UpdatePipelineExecutionRequest$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the pipeline execution.
', 'UpdatePipelineExecutionResponse$PipelineExecutionArn' => 'The Amazon Resource Name (ARN) of the updated pipeline execution.
', ], ], 'PipelineExecutionDescription' => [ 'base' => NULL, 'refs' => [ 'DescribePipelineExecutionResponse$PipelineExecutionDescription' => 'The description of the pipeline execution.
', 'PipelineExecution$PipelineExecutionDescription' => 'The description of the pipeline execution.
', 'PipelineExecutionSummary$PipelineExecutionDescription' => 'The description of the pipeline execution.
', 'StartPipelineExecutionRequest$PipelineExecutionDescription' => 'The description of the pipeline execution.
', 'UpdatePipelineExecutionRequest$PipelineExecutionDescription' => 'The description of the pipeline execution.
', ], ], 'PipelineExecutionFailureReason' => [ 'base' => NULL, 'refs' => [ 'DescribePipelineExecutionResponse$FailureReason' => 'If the execution failed, a message describing why.
', 'PipelineExecution$FailureReason' => 'If the execution failed, a message describing why.
', ], ], 'PipelineExecutionName' => [ 'base' => NULL, 'refs' => [ 'DescribePipelineExecutionResponse$PipelineExecutionDisplayName' => 'The display name of the pipeline execution.
', 'PipelineExecution$PipelineExecutionDisplayName' => 'The display name of the pipeline execution.
', 'PipelineExecutionSummary$PipelineExecutionDisplayName' => 'The display name of the pipeline execution.
', 'StartPipelineExecutionRequest$PipelineExecutionDisplayName' => 'The display name of the pipeline execution.
', 'UpdatePipelineExecutionRequest$PipelineExecutionDisplayName' => 'The display name of the pipeline execution.
', ], ], 'PipelineExecutionStatus' => [ 'base' => NULL, 'refs' => [ 'DescribePipelineExecutionResponse$PipelineExecutionStatus' => 'The status of the pipeline execution.
', 'PipelineExecution$PipelineExecutionStatus' => 'The status of the pipeline status.
', 'PipelineExecutionSummary$PipelineExecutionStatus' => 'The status of the pipeline execution.
', ], ], 'PipelineExecutionStep' => [ 'base' => 'An execution of a step in a pipeline.
', 'refs' => [ 'PipelineExecutionStepList$member' => NULL, ], ], 'PipelineExecutionStepList' => [ 'base' => NULL, 'refs' => [ 'ListPipelineExecutionStepsResponse$PipelineExecutionSteps' => 'A list of PipeLineExecutionStep objects. Each PipeLineExecutionStep consists of StepName, StartTime, EndTime, StepStatus, and Metadata. Metadata is an object with properties for each job that contains relevant information about the job created by the step.
Metadata for a step execution.
', 'refs' => [ 'PipelineExecutionStep$Metadata' => 'Metadata to run the pipeline step.
', ], ], 'PipelineExecutionSummary' => [ 'base' => 'A pipeline execution summary.
', 'refs' => [ 'PipelineExecutionSummaryList$member' => NULL, ], ], 'PipelineExecutionSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListPipelineExecutionsResponse$PipelineExecutionSummaries' => 'Contains a sorted list of pipeline execution summary objects matching the specified filters. Each run summary includes the Amazon Resource Name (ARN) of the pipeline execution, the run date, and the status. This list can be empty.
', ], ], 'PipelineExperimentConfig' => [ 'base' => 'Specifies the names of the experiment and trial created by a pipeline.
', 'refs' => [ 'DescribePipelineExecutionResponse$PipelineExperimentConfig' => NULL, 'PipelineExecution$PipelineExperimentConfig' => NULL, ], ], 'PipelineName' => [ 'base' => NULL, 'refs' => [ 'CreatePipelineRequest$PipelineName' => 'The name of the pipeline.
', 'CreatePipelineRequest$PipelineDisplayName' => 'The display name of the pipeline.
', 'DeletePipelineRequest$PipelineName' => 'The name of the pipeline to delete.
', 'DescribePipelineResponse$PipelineName' => 'The name of the pipeline.
', 'DescribePipelineResponse$PipelineDisplayName' => 'The display name of the pipeline.
', 'ListPipelinesRequest$PipelineNamePrefix' => 'The prefix of the pipeline name.
', 'Pipeline$PipelineName' => 'The name of the pipeline.
', 'Pipeline$PipelineDisplayName' => 'The display name of the pipeline.
', 'PipelineSummary$PipelineName' => 'The name of the pipeline.
', 'PipelineSummary$PipelineDisplayName' => 'The display name of the pipeline.
', 'UpdatePipelineRequest$PipelineName' => 'The name of the pipeline to update.
', 'UpdatePipelineRequest$PipelineDisplayName' => 'The display name of the pipeline.
', ], ], 'PipelineNameOrArn' => [ 'base' => NULL, 'refs' => [ 'DescribePipelineRequest$PipelineName' => 'The name or Amazon Resource Name (ARN) of the pipeline to describe.
', 'ListPipelineExecutionsRequest$PipelineName' => 'The name or Amazon Resource Name (ARN) of the pipeline.
', 'StartPipelineExecutionRequest$PipelineName' => 'The name or Amazon Resource Name (ARN) of the pipeline.
', ], ], 'PipelineParameterName' => [ 'base' => NULL, 'refs' => [ 'Parameter$Name' => 'The name of the parameter to assign a value to. This parameter name must match a named parameter in the pipeline definition.
', ], ], 'PipelineStatus' => [ 'base' => NULL, 'refs' => [ 'DescribePipelineResponse$PipelineStatus' => 'The status of the pipeline execution.
', 'Pipeline$PipelineStatus' => 'The status of the pipeline.
', ], ], 'PipelineSummary' => [ 'base' => 'A summary of a pipeline.
', 'refs' => [ 'PipelineSummaryList$member' => NULL, ], ], 'PipelineSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListPipelinesResponse$PipelineSummaries' => 'Contains a sorted list of PipelineSummary objects matching the specified filters. Each PipelineSummary consists of PipelineArn, PipelineName, ExperimentName, PipelineDescription, CreationTime, LastModifiedTime, LastRunTime, and RoleArn. This list can be empty.
The platform identifier of the notebook instance runtime environment.
', 'DescribeNotebookInstanceOutput$PlatformIdentifier' => 'The platform identifier of the notebook instance runtime environment.
', ], ], 'PolicyString' => [ 'base' => NULL, 'refs' => [ 'GetModelPackageGroupPolicyOutput$ResourcePolicy' => 'The resource policy for the model group.
', 'PutModelPackageGroupPolicyInput$ResourcePolicy' => 'The resource policy for the model group.
', ], ], 'PredefinedMetricSpecification' => [ 'base' => 'A specification for a predefined metric.
', 'refs' => [ 'MetricSpecification$Predefined' => 'Information about a predefined metric.
', ], ], 'PreemptTeamTasks' => [ 'base' => NULL, 'refs' => [ 'ComputeQuotaConfig$PreemptTeamTasks' => 'Allows workloads from within an entity to preempt same-team workloads. When set to LowerPriority, the entity\'s lower priority tasks are preempted by their own higher priority tasks.
Default is LowerPriority.
The presigned URL.
', ], ], 'PriorityClass' => [ 'base' => 'Priority class configuration. When included in PriorityClasses, these class configurations define how tasks are queued.
List of the priority classes, PriorityClass, of the cluster policy. When specified, these class configurations define how tasks are queued.
Weight of the priority class. The value is within a range from 0 to 100, where 0 is the default.
A weight of 0 is the lowest priority and 100 is the highest. Weight 0 is the default.
', ], ], 'ProbabilityThresholdAttribute' => [ 'base' => NULL, 'refs' => [ 'BatchTransformInput$ProbabilityThresholdAttribute' => 'The threshold for the class probability to be evaluated as a positive result.
', 'EndpointInput$ProbabilityThresholdAttribute' => 'The threshold for the class probability to be evaluated as a positive result.
', ], ], 'ProblemType' => [ 'base' => NULL, 'refs' => [ 'CreateAutoMLJobRequest$ProblemType' => 'Defines the type of supervised learning problem available for the candidates. For more information, see SageMaker Autopilot problem types.
', 'DescribeAutoMLJobResponse$ProblemType' => 'Returns the job\'s problem type.
', 'ResolvedAttributes$ProblemType' => 'The problem type.
', 'TabularJobConfig$ProblemType' => 'The type of supervised learning problem available for the model candidates of the AutoML job V2. For more information, see SageMaker Autopilot problem types.
You must either specify the type of supervised learning problem in ProblemType and provide the AutoMLJobObjective metric, or none at all.
The type of supervised learning problem available for the model candidates of the AutoML job V2 (Binary Classification, Multiclass Classification, Regression). For more information, see SageMaker Autopilot problem types.
', ], ], 'ProcessingClusterConfig' => [ 'base' => 'Configuration for the cluster used to run a processing job.
', 'refs' => [ 'ProcessingResources$ClusterConfig' => 'The configuration for the resources in a cluster used to run the processing job.
', ], ], 'ProcessingEnvironmentKey' => [ 'base' => NULL, 'refs' => [ 'MonitoringEnvironmentMap$key' => NULL, 'ProcessingEnvironmentMap$key' => NULL, ], ], 'ProcessingEnvironmentMap' => [ 'base' => NULL, 'refs' => [ 'CreateProcessingJobRequest$Environment' => 'The environment variables to set in the Docker container. Up to 100 key and values entries in the map are supported.
', 'DescribeProcessingJobResponse$Environment' => 'The environment variables set in the Docker container.
', 'ProcessingJob$Environment' => 'Sets the environment variables in the Docker container.
', ], ], 'ProcessingEnvironmentValue' => [ 'base' => NULL, 'refs' => [ 'MonitoringEnvironmentMap$value' => NULL, 'ProcessingEnvironmentMap$value' => NULL, ], ], 'ProcessingFeatureStoreOutput' => [ 'base' => 'Configuration for processing job outputs in Amazon SageMaker Feature Store.
', 'refs' => [ 'ProcessingOutput$FeatureStoreOutput' => 'Configuration for processing job outputs in Amazon SageMaker Feature Store. This processing output type is only supported when AppManaged is specified.
The inputs for a processing job. The processing input must specify exactly one of either S3Input or DatasetDefinition types.
An array of inputs configuring the data to download into the processing container.
', 'DescribeProcessingJobResponse$ProcessingInputs' => 'The inputs for a processing job.
', 'ProcessingJob$ProcessingInputs' => 'List of input configurations for the processing job.
', ], ], 'ProcessingInstanceCount' => [ 'base' => NULL, 'refs' => [ 'MonitoringClusterConfig$InstanceCount' => 'The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
', 'ProcessingClusterConfig$InstanceCount' => 'The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
', ], ], 'ProcessingInstanceType' => [ 'base' => NULL, 'refs' => [ 'DebugRuleConfiguration$InstanceType' => 'The instance type to deploy a custom rule for debugging a training job.
', 'MonitoringClusterConfig$InstanceType' => 'The ML compute instance type for the processing job.
', 'ProcessingClusterConfig$InstanceType' => 'The ML compute instance type for the processing job.
', 'ProfilerRuleConfiguration$InstanceType' => 'The instance type to deploy a custom rule for profiling a training job.
', ], ], 'ProcessingJob' => [ 'base' => 'An Amazon SageMaker processing job that is used to analyze data and evaluate models. For more information, see Process Data and Evaluate Models.
', 'refs' => [ 'TrialComponentSourceDetail$ProcessingJob' => 'Information about a processing job that\'s the source of a trial component.
', ], ], 'ProcessingJobArn' => [ 'base' => NULL, 'refs' => [ 'CreateProcessingJobResponse$ProcessingJobArn' => 'The Amazon Resource Name (ARN) of the processing job.
', 'DebugRuleEvaluationStatus$RuleEvaluationJobArn' => 'The Amazon Resource Name (ARN) of the rule evaluation job.
', 'DescribeProcessingJobResponse$ProcessingJobArn' => 'The Amazon Resource Name (ARN) of the processing job.
', 'MonitoringExecutionSummary$ProcessingJobArn' => 'The Amazon Resource Name (ARN) of the monitoring job.
', 'ProcessingJob$ProcessingJobArn' => 'The ARN of the processing job.
', 'ProcessingJobStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the processing job.
', 'ProcessingJobSummary$ProcessingJobArn' => 'The Amazon Resource Name (ARN) of the processing job..
', 'ProfilerRuleEvaluationStatus$RuleEvaluationJobArn' => 'The Amazon Resource Name (ARN) of the rule evaluation job.
', ], ], 'ProcessingJobName' => [ 'base' => NULL, 'refs' => [ 'CreateProcessingJobRequest$ProcessingJobName' => 'The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'DataQualityBaselineConfig$BaseliningJobName' => 'The name of the job that performs baselining for the data quality monitoring job.
', 'DescribeProcessingJobRequest$ProcessingJobName' => 'The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'DescribeProcessingJobResponse$ProcessingJobName' => 'The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'ModelBiasBaselineConfig$BaseliningJobName' => 'The name of the baseline model bias job.
', 'ModelExplainabilityBaselineConfig$BaseliningJobName' => 'The name of the baseline model explainability job.
', 'ModelQualityBaselineConfig$BaseliningJobName' => 'The name of the job that performs baselining for the monitoring job.
', 'MonitoringBaselineConfig$BaseliningJobName' => 'The name of the job that performs baselining for the monitoring job.
', 'ProcessingJob$ProcessingJobName' => 'The name of the processing job.
', 'ProcessingJobSummary$ProcessingJobName' => 'The name of the processing job.
', 'StopProcessingJobRequest$ProcessingJobName' => 'The name of the processing job to stop.
', ], ], 'ProcessingJobStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeProcessingJobResponse$ProcessingJobStatus' => 'Provides the status of a processing job.
', 'ListProcessingJobsRequest$StatusEquals' => 'A filter that retrieves only processing jobs with a specific status.
', 'ProcessingJob$ProcessingJobStatus' => 'The status of the processing job.
', 'ProcessingJobSummary$ProcessingJobStatus' => 'The status of the processing job.
', ], ], 'ProcessingJobStepMetadata' => [ 'base' => 'Metadata for a processing job step.
', 'refs' => [ 'PipelineExecutionStepMetadata$ProcessingJob' => 'The Amazon Resource Name (ARN) of the processing job that was run by this step execution.
', ], ], 'ProcessingJobSummaries' => [ 'base' => NULL, 'refs' => [ 'ListProcessingJobsResponse$ProcessingJobSummaries' => 'An array of ProcessingJobSummary objects, each listing a processing job.
Summary of information about a processing job.
', 'refs' => [ 'ProcessingJobSummaries$member' => NULL, ], ], 'ProcessingLocalPath' => [ 'base' => NULL, 'refs' => [ 'BatchTransformInput$LocalPath' => 'Path to the filesystem where the batch transform data is available to the container.
', 'DatasetDefinition$LocalPath' => 'The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when AppManaged is False (default).
Path to the filesystem where the endpoint data is available to the container.
', 'MonitoringS3Output$LocalPath' => 'The local path to the Amazon S3 storage location where Amazon SageMaker AI saves the results of a monitoring job. LocalPath is an absolute path for the output data.
', 'ProcessingS3Input$LocalPath' => 'The local path in your container where you want Amazon SageMaker to write input data to. LocalPath is an absolute path to the input data and must begin with /opt/ml/processing/. LocalPath is a required parameter when AppManaged is False (default).
The local path of a directory where you want Amazon SageMaker to upload its contents to Amazon S3. LocalPath is an absolute path to a directory containing output files. This directory will be created by the platform and exist when your container\'s entrypoint is invoked.
Specifies the maximum runtime in seconds.
', ], ], 'ProcessingOutput' => [ 'base' => 'Describes the results of a processing job. The processing output must specify exactly one of either S3Output or FeatureStoreOutput types.
Configuration for uploading output from the processing container.
', 'refs' => [ 'CreateProcessingJobRequest$ProcessingOutputConfig' => 'Output configuration for the processing job.
', 'DescribeProcessingJobResponse$ProcessingOutputConfig' => 'Output configuration for the processing job.
', 'ProcessingJob$ProcessingOutputConfig' => NULL, ], ], 'ProcessingOutputs' => [ 'base' => NULL, 'refs' => [ 'ProcessingOutputConfig$Outputs' => 'An array of outputs configuring the data to upload from the processing container.
', ], ], 'ProcessingResources' => [ 'base' => 'Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.
', 'refs' => [ 'CreateProcessingJobRequest$ProcessingResources' => 'Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.
', 'DescribeProcessingJobResponse$ProcessingResources' => 'Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.
', 'ProcessingJob$ProcessingResources' => NULL, ], ], 'ProcessingS3CompressionType' => [ 'base' => NULL, 'refs' => [ 'ProcessingS3Input$S3CompressionType' => 'Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container. Gzip can only be used when Pipe mode is specified as the S3InputMode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your container without using the EBS volume.
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to FullyReplicated
Whether input data distributed in Amazon S3 is fully replicated or sharded by an Amazon S3 key. Defaults to FullyReplicated
Whether to distribute the data from Amazon S3 to all processing instances with FullyReplicated, or whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing instance.
Whether you use an S3Prefix or a ManifestFile for the data type. If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for the processing job. If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for the processing job.
Configuration for downloading input data from Amazon S3 into the processing container.
', 'refs' => [ 'ProcessingInput$S3Input' => 'Configuration for downloading input data from Amazon S3 into the processing container.
', ], ], 'ProcessingS3InputMode' => [ 'base' => NULL, 'refs' => [ 'BatchTransformInput$S3InputMode' => 'Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
Whether to use File or Pipe input mode. In File mode, Amazon SageMaker copies the data from the input source onto the local ML storage volume before starting your processing container. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your processing container into named pipes without using the ML storage volume.
Configuration for uploading output data to Amazon S3 from the processing container.
', 'refs' => [ 'ProcessingOutput$S3Output' => 'Configuration for processing job outputs in Amazon S3.
', ], ], 'ProcessingS3UploadMode' => [ 'base' => NULL, 'refs' => [ 'MonitoringS3Output$S3UploadMode' => 'Whether to upload the results of the monitoring job continuously or after the job completes.
', 'ProcessingS3Output$S3UploadMode' => 'Whether to upload the results of the processing job continuously or after the job completes.
', ], ], 'ProcessingStoppingCondition' => [ 'base' => 'Configures conditions under which the processing job should be stopped, such as how long the processing job has been running. After the condition is met, the processing job is stopped.
', 'refs' => [ 'CreateProcessingJobRequest$StoppingCondition' => 'The time limit for how long the processing job is allowed to run.
', 'DescribeProcessingJobResponse$StoppingCondition' => 'The time limit for how long the processing job is allowed to run.
', 'ProcessingJob$StoppingCondition' => NULL, ], ], 'ProcessingVolumeSizeInGB' => [ 'base' => NULL, 'refs' => [ 'MonitoringClusterConfig$VolumeSizeInGB' => 'The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
', 'ProcessingClusterConfig$VolumeSizeInGB' => 'The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.
Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for processing, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can\'t request a VolumeSizeInGB greater than the total size of the local instance storage.
For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.
Indicates CPU or GPU compatibility.
CPU: The image version is compatible with CPU.
GPU: The image version is compatible with GPU.
Indicates CPU or GPU compatibility.
CPU: The image version is compatible with CPU.
GPU: The image version is compatible with GPU.
Indicates CPU or GPU compatibility.
CPU: The image version is compatible with CPU.
GPU: The image version is compatible with GPU.
The product identifier of the algorithm.
', 'ModelPackageContainerDefinition$ProductId' => 'The Amazon Web Services Marketplace product ID of the model package.
', ], ], 'ProductListings' => [ 'base' => NULL, 'refs' => [ 'Workteam$ProductListingIds' => 'The Amazon Marketplace identifier for a vendor\'s work team.
', ], ], 'ProductionVariant' => [ 'base' => 'Identifies a model that you want to host and the resources chosen to deploy for hosting it. If you are deploying multiple models, tell SageMaker how to distribute traffic among the models by specifying variant weights. For more information on production variants, check Production variants.
', 'refs' => [ 'ProductionVariantList$member' => NULL, ], ], 'ProductionVariantAcceleratorType' => [ 'base' => NULL, 'refs' => [ 'PendingProductionVariantSummary$AcceleratorType' => 'This parameter is no longer supported. Elastic Inference (EI) is no longer available.
This parameter was used to specify the size of the EI instance to use for the production variant.
', 'ProductionVariant$AcceleratorType' => 'This parameter is no longer supported. Elastic Inference (EI) is no longer available.
This parameter was used to specify the size of the EI instance to use for the production variant.
', ], ], 'ProductionVariantContainerStartupHealthCheckTimeoutInSeconds' => [ 'base' => NULL, 'refs' => [ 'InferenceComponentStartupParameters$ContainerStartupHealthCheckTimeoutInSeconds' => 'The timeout value, in seconds, for your inference container to pass health check by Amazon S3 Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.
', 'ProductionVariant$ContainerStartupHealthCheckTimeoutInSeconds' => 'The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.
', ], ], 'ProductionVariantCoreDumpConfig' => [ 'base' => 'Specifies configuration for a core dump from the model container when the process crashes.
', 'refs' => [ 'ProductionVariant$CoreDumpConfig' => 'Specifies configuration for a core dump from the model container when the process crashes.
', ], ], 'ProductionVariantInferenceAmiVersion' => [ 'base' => NULL, 'refs' => [ 'ProductionVariant$InferenceAmiVersion' => 'Specifies an option from a collection of preconfigured Amazon Machine Image (AMI) images. Each image is configured by Amazon Web Services with a set of software and driver versions. Amazon Web Services optimizes these configurations for different machine learning workloads.
By selecting an AMI version, you can ensure that your inference environment is compatible with specific software requirements, such as CUDA driver versions, Linux kernel versions, or Amazon Web Services Neuron driver versions.
The AMI version names, and their configurations, are the following:
Accelerator: GPU
NVIDIA driver version: 535.54.03
CUDA driver version: 12.2
Supported instance types: ml.g4dn.*, ml.g5.*, ml.g6.*, ml.p3.*, ml.p4d.*, ml.p4de.*, ml.p5.*
The instance types to use for the load test.
', 'EndpointOutputConfiguration$InstanceType' => 'The instance type recommended by Amazon SageMaker Inference Recommender.
', 'PendingProductionVariantSummary$InstanceType' => 'The type of instances associated with the variant.
', 'ProductionVariant$InstanceType' => 'The ML compute instance type.
', 'RealTimeInferenceRecommendation$InstanceType' => 'The recommended instance type for Real-Time Inference.
', 'RealtimeInferenceInstanceTypes$member' => NULL, ], ], 'ProductionVariantList' => [ 'base' => NULL, 'refs' => [ 'CreateEndpointConfigInput$ProductionVariants' => 'An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
An array of ProductionVariant objects, one for each model that you want to host at this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants. If you use this field, you can only specify one variant for ProductionVariants and one variant for ShadowProductionVariants.
An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
An array of ProductionVariant objects, one for each model that you want to host at this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants.
Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
', 'refs' => [ 'PendingProductionVariantSummary$ManagedInstanceScaling' => 'Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
', 'ProductionVariant$ManagedInstanceScaling' => 'Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
', 'ProductionVariantSummary$ManagedInstanceScaling' => 'Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
', ], ], 'ProductionVariantModelDataDownloadTimeoutInSeconds' => [ 'base' => NULL, 'refs' => [ 'InferenceComponentStartupParameters$ModelDataDownloadTimeoutInSeconds' => 'The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this inference component.
', 'ProductionVariant$ModelDataDownloadTimeoutInSeconds' => 'The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.
', ], ], 'ProductionVariantRoutingConfig' => [ 'base' => 'Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
', 'refs' => [ 'PendingProductionVariantSummary$RoutingConfig' => 'Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
', 'ProductionVariant$RoutingConfig' => 'Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
', 'ProductionVariantSummary$RoutingConfig' => 'Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
', ], ], 'ProductionVariantSSMAccess' => [ 'base' => NULL, 'refs' => [ 'ProductionVariant$EnableSSMAccess' => ' You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoint. You can turn on or turn off SSM access for a production variant behind an existing endpoint by creating a new endpoint configuration and calling UpdateEndpoint.
Specifies the serverless configuration for an endpoint variant.
', 'refs' => [ 'EndpointInputConfiguration$ServerlessConfig' => NULL, 'EndpointOutputConfiguration$ServerlessConfig' => NULL, 'PendingProductionVariantSummary$CurrentServerlessConfig' => 'The serverless configuration for the endpoint.
', 'PendingProductionVariantSummary$DesiredServerlessConfig' => 'The serverless configuration requested for this deployment, as specified in the endpoint configuration for the endpoint.
', 'ProductionVariant$ServerlessConfig' => 'The serverless configuration for an endpoint. Specifies a serverless endpoint configuration instead of an instance-based endpoint configuration.
', 'ProductionVariantSummary$CurrentServerlessConfig' => 'The serverless configuration for the endpoint.
', 'ProductionVariantSummary$DesiredServerlessConfig' => 'The serverless configuration requested for the endpoint update.
', ], ], 'ProductionVariantServerlessUpdateConfig' => [ 'base' => 'Specifies the serverless update concurrency configuration for an endpoint variant.
', 'refs' => [ 'DesiredWeightAndCapacity$ServerlessUpdateConfig' => 'Specifies the serverless update concurrency configuration for an endpoint variant.
', ], ], 'ProductionVariantStatus' => [ 'base' => 'Describes the status of the production variant.
', 'refs' => [ 'ProductionVariantStatusList$member' => NULL, ], ], 'ProductionVariantStatusList' => [ 'base' => NULL, 'refs' => [ 'PendingProductionVariantSummary$VariantStatus' => 'The endpoint variant status which describes the current deployment stage status or operational status.
', 'ProductionVariantSummary$VariantStatus' => 'The endpoint variant status which describes the current deployment stage status or operational status.
', ], ], 'ProductionVariantSummary' => [ 'base' => 'Describes weight and capacities for a production variant associated with an endpoint. If you sent a request to the UpdateEndpointWeightsAndCapacities API and the endpoint status is Updating, you get different desired and current values.
An array of ProductionVariantSummary objects, one for each model hosted behind this endpoint.
', 'DescribeEndpointOutput$ShadowProductionVariants' => 'An array of ProductionVariantSummary objects, one for each model that you want to host at this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants.
A list of the production variants hosted on the endpoint. Each production variant is a model.
', 'Endpoint$ShadowProductionVariants' => 'A list of the shadow variants hosted on the endpoint. Each shadow variant is a model in shadow mode with production traffic replicated from the production variant.
', ], ], 'ProductionVariantVolumeSizeInGB' => [ 'base' => NULL, 'refs' => [ 'ProductionVariant$VolumeSizeInGB' => 'The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Currently only Amazon EBS gp2 storage volumes are supported.
', ], ], 'ProfilerConfig' => [ 'base' => 'Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.
', 'refs' => [ 'CreateTrainingJobRequest$ProfilerConfig' => NULL, 'DescribeTrainingJobResponse$ProfilerConfig' => NULL, 'TrainingJob$ProfilerConfig' => NULL, ], ], 'ProfilerConfigForUpdate' => [ 'base' => 'Configuration information for updating the Amazon SageMaker Debugger profile parameters, system and framework metrics configurations, and storage paths.
', 'refs' => [ 'UpdateTrainingJobRequest$ProfilerConfig' => 'Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.
', ], ], 'ProfilerRuleConfiguration' => [ 'base' => 'Configuration information for profiling rules.
', 'refs' => [ 'ProfilerRuleConfigurations$member' => NULL, ], ], 'ProfilerRuleConfigurations' => [ 'base' => NULL, 'refs' => [ 'CreateTrainingJobRequest$ProfilerRuleConfigurations' => 'Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
', 'DescribeTrainingJobResponse$ProfilerRuleConfigurations' => 'Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
', 'UpdateTrainingJobRequest$ProfilerRuleConfigurations' => 'Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.
', ], ], 'ProfilerRuleEvaluationStatus' => [ 'base' => 'Information about the status of the rule evaluation.
', 'refs' => [ 'ProfilerRuleEvaluationStatuses$member' => NULL, ], ], 'ProfilerRuleEvaluationStatuses' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingJobResponse$ProfilerRuleEvaluationStatuses' => 'Evaluation status of Amazon SageMaker Debugger rules for profiling on a training job.
', ], ], 'ProfilingIntervalInMilliseconds' => [ 'base' => NULL, 'refs' => [ 'ProfilerConfig$ProfilingIntervalInMilliseconds' => 'A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.
', 'ProfilerConfigForUpdate$ProfilingIntervalInMilliseconds' => 'A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.
', ], ], 'ProfilingParameters' => [ 'base' => NULL, 'refs' => [ 'ProfilerConfig$ProfilingParameters' => 'Configuration information for capturing framework metrics. Available key strings for different profiling options are DetailedProfilingConfig, PythonProfilingConfig, and DataLoaderProfilingConfig. The following codes are configuration structures for the ProfilingParameters parameter. To learn more about how to configure the ProfilingParameters parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.
Configuration information for capturing framework metrics. Available key strings for different profiling options are DetailedProfilingConfig, PythonProfilingConfig, and DataLoaderProfilingConfig. The following codes are configuration structures for the ProfilingParameters parameter. To learn more about how to configure the ProfilingParameters parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.
Profiling status of a training job.
', ], ], 'ProgrammingLang' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionRequest$ProgrammingLang' => 'The supported programming language and its version.
', 'DescribeImageVersionResponse$ProgrammingLang' => 'The supported programming language and its version.
', 'UpdateImageVersionRequest$ProgrammingLang' => 'The supported programming language and its version.
', ], ], 'Project' => [ 'base' => 'The properties of a project as returned by the Search API.
', 'refs' => [ 'SearchRecord$Project' => 'The properties of a project.
', ], ], 'ProjectArn' => [ 'base' => NULL, 'refs' => [ 'CreateProjectOutput$ProjectArn' => 'The Amazon Resource Name (ARN) of the project.
', 'DescribeProjectOutput$ProjectArn' => 'The Amazon Resource Name (ARN) of the project.
', 'Project$ProjectArn' => 'The Amazon Resource Name (ARN) of the project.
', 'ProjectSummary$ProjectArn' => 'The Amazon Resource Name (ARN) of the project.
', 'UpdateProjectOutput$ProjectArn' => 'The Amazon Resource Name (ARN) of the project.
', ], ], 'ProjectEntityName' => [ 'base' => NULL, 'refs' => [ 'CreateProjectInput$ProjectName' => 'The name of the project.
', 'DeleteProjectInput$ProjectName' => 'The name of the project to delete.
', 'DescribeProjectInput$ProjectName' => 'The name of the project to describe.
', 'DescribeProjectOutput$ProjectName' => 'The name of the project.
', 'ListProjectsInput$NameContains' => 'A filter that returns the projects whose name contains a specified string.
', 'Project$ProjectName' => 'The name of the project.
', 'ProjectSummary$ProjectName' => 'The name of the project.
', 'UpdateProjectInput$ProjectName' => 'The name of the project.
', ], ], 'ProjectId' => [ 'base' => NULL, 'refs' => [ 'CreateProjectOutput$ProjectId' => 'The ID of the new project.
', 'DescribeProjectOutput$ProjectId' => 'The ID of the project.
', 'Project$ProjectId' => 'The ID of the project.
', 'ProjectSummary$ProjectId' => 'The ID of the project.
', ], ], 'ProjectSortBy' => [ 'base' => NULL, 'refs' => [ 'ListProjectsInput$SortBy' => 'The field by which to sort results. The default is CreationTime.
The sort order for results. The default is Ascending.
The status of the project.
', 'Project$ProjectStatus' => 'The status of the project.
', 'ProjectSummary$ProjectStatus' => 'The status of the project.
', ], ], 'ProjectSummary' => [ 'base' => 'Information about a project.
', 'refs' => [ 'ProjectSummaryList$member' => NULL, ], ], 'ProjectSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListProjectsOutput$ProjectSummaryList' => 'A list of summaries of projects.
', ], ], 'PropertyNameHint' => [ 'base' => NULL, 'refs' => [ 'PropertyNameQuery$PropertyNameHint' => 'Text that begins a property\'s name.
', ], ], 'PropertyNameQuery' => [ 'base' => 'Part of the SuggestionQuery type. Specifies a hint for retrieving property names that begin with the specified text.
Defines a property name hint. Only property names that begin with the specified hint are included in the response.
', ], ], 'PropertyNameSuggestion' => [ 'base' => 'A property name returned from a GetSearchSuggestions call that specifies a value in the PropertyNameQuery field.
A list of property names for a Resource that match a SuggestionQuery.
The current status of the product.
AVAILABLE - Stable state, ready to perform any operation. The most recent operation succeeded and completed.
UNDER_CHANGE - Transitive state. Operations performed might not have valid results. Wait for an AVAILABLE status before performing operations.
TAINTED - Stable state, ready to perform any operation. The stack has completed the requested operation but is not exactly what was requested. For example, a request to update to a new version failed and the stack rolled back to the current version.
ERROR - An unexpected error occurred. The provisioned product exists but the stack is not running. For example, CloudFormation received a parameter value that was not valid and could not launch the stack.
PLAN_IN_PROGRESS - Transitive state. The plan operations were performed to provision a new product, but resources have not yet been created. After reviewing the list of resources to be created, execute the plan. Wait for an AVAILABLE status before performing operations.
A key value pair used when you provision a project as a service catalog product. For information, see What is Amazon Web Services Service Catalog.
', 'refs' => [ 'ProvisioningParameters$member' => NULL, ], ], 'ProvisioningParameterKey' => [ 'base' => NULL, 'refs' => [ 'ProvisioningParameter$Key' => 'The key that identifies a provisioning parameter.
', ], ], 'ProvisioningParameterValue' => [ 'base' => NULL, 'refs' => [ 'ProvisioningParameter$Value' => 'The value of the provisioning parameter.
', ], ], 'ProvisioningParameters' => [ 'base' => NULL, 'refs' => [ 'ServiceCatalogProvisioningDetails$ProvisioningParameters' => 'A list of key value pairs that you specify when you provision a product.
', 'ServiceCatalogProvisioningUpdateDetails$ProvisioningParameters' => 'A list of key value pairs that you specify when you provision a product.
', ], ], 'PublicWorkforceTaskPrice' => [ 'base' => 'Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed.
Use one of the following prices for bounding box tasks. Prices are in US dollars and should be based on the complexity of the task; the longer it takes in your initial testing, the more you should offer.
0.036
0.048
0.060
0.072
0.120
0.240
0.360
0.480
0.600
0.720
0.840
0.960
1.080
1.200
Use one of the following prices for image classification, text classification, and custom tasks. Prices are in US dollars.
0.012
0.024
0.036
0.048
0.060
0.072
0.120
0.240
0.360
0.480
0.600
0.720
0.840
0.960
1.080
1.200
Use one of the following prices for semantic segmentation tasks. Prices are in US dollars.
0.840
0.960
1.080
1.200
Use one of the following prices for Textract AnalyzeDocument Important Form Key Amazon Augmented AI review tasks. Prices are in US dollars.
2.400
2.280
2.160
2.040
1.920
1.800
1.680
1.560
1.440
1.320
1.200
1.080
0.960
0.840
0.720
0.600
0.480
0.360
0.240
0.120
0.072
0.060
0.048
0.036
0.024
0.012
Use one of the following prices for Rekognition DetectModerationLabels Amazon Augmented AI review tasks. Prices are in US dollars.
1.200
1.080
0.960
0.840
0.720
0.600
0.480
0.360
0.240
0.120
0.072
0.060
0.048
0.036
0.024
0.012
Use one of the following prices for Amazon Augmented AI custom human review tasks. Prices are in US dollars.
1.200
1.080
0.960
0.840
0.720
0.600
0.480
0.360
0.240
0.120
0.072
0.060
0.048
0.036
0.024
0.012
The price that you pay for each task performed by an Amazon Mechanical Turk worker.
', ], ], 'PutModelPackageGroupPolicyInput' => [ 'base' => NULL, 'refs' => [], ], 'PutModelPackageGroupPolicyOutput' => [ 'base' => NULL, 'refs' => [], ], 'QProfileArn' => [ 'base' => NULL, 'refs' => [ 'AmazonQSettings$QProfileArn' => 'The ARN of the Amazon Q profile used within the domain.
', ], ], 'QualityCheckStepMetadata' => [ 'base' => 'Container for the metadata for a Quality check step. For more information, see the topic on QualityCheck step in the Amazon SageMaker Developer Guide.
', 'refs' => [ 'PipelineExecutionStepMetadata$QualityCheck' => 'The configurations and outcomes of the check step execution. This includes:
The type of the check conducted.
The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.
The Amazon S3 URIs of newly calculated baseline constraints and statistics.
The model package group name provided.
The Amazon S3 URI of the violation report if violations detected.
The Amazon Resource Name (ARN) of check processing job initiated by the step execution.
The Boolean flags indicating if the drift check is skipped.
If step property BaselineUsedForDriftCheck is set the same as CalculatedBaseline.
A set of filters to narrow the set of lineage entities connected to the StartArn(s) returned by the QueryLineage API action.
A set of filtering parameters that allow you to specify which entities should be returned.
Properties - Key-value pairs to match on the lineage entities\' properties.
LineageTypes - A set of lineage entity types to match on. For example: TrialComponent, Artifact, or Context.
CreatedBefore - Filter entities created before this date.
ModifiedBefore - Filter entities modified before this date.
ModifiedAfter - Filter entities modified after this date.
The maximum depth in lineage relationships from the StartArns that are traversed. Depth is a measure of the number of Associations from the StartArn entity to the matched results.
Limits the number of vertices in the results. Use the NextToken in a response to to retrieve the next page of results.
A list of resource Amazon Resource Name (ARN) that represent the starting point for your lineage query.
', ], ], 'QueryLineageTypes' => [ 'base' => NULL, 'refs' => [ 'QueryFilters$LineageTypes' => 'Filter the lineage entities connected to the StartArn(s) by the type of the lineage entity.
Filter the lineage entities connected to the StartArn(s) by a set if property key value pairs. If multiple pairs are provided, an entity is included in the results if it matches any of the provided pairs.
Filter the lineage entities connected to the StartArn by type. For example: DataSet, Model, Endpoint, or ModelDeployment.
A collection of settings that apply to an RSessionGateway app.
A collection of settings that configure the RSessionGateway app.
Indicates whether the current user has access to the RStudioServerPro app.
A collection of settings that configure user interaction with the RStudioServerPro app.
A collection of settings that configure user interaction with the RStudioServerPro app.
A collection of settings that configure the RStudioServerPro Domain-level app.
A collection of settings that configure the RStudioServerPro Domain-level app.
A collection of settings that update the current configuration for the RStudioServerPro Domain-level app.
A collection of RStudioServerPro Domain-level app settings to update. A single RStudioServerPro application is created for a domain.
The level of permissions that the user has within the RStudioServerPro app. This value defaults to `User`. The `Admin` value allows the user access to the RStudio Administrative Dashboard.
A value used to initialize a pseudo-random number generator. Setting a random seed and using the same seed later for the same tuning job will allow hyperparameter optimization to find more a consistent hyperparameter configuration between the two runs.
', ], ], 'RealTimeInferenceConfig' => [ 'base' => 'The infrastructure configuration for deploying the model to a real-time inference endpoint.
', 'refs' => [ 'ModelInfrastructureConfig$RealTimeInferenceConfig' => 'The infrastructure configuration for deploying the model to real-time inference.
', ], ], 'RealTimeInferenceRecommendation' => [ 'base' => 'The recommended configuration to use for Real-Time Inference.
', 'refs' => [ 'RealTimeInferenceRecommendations$member' => NULL, ], ], 'RealTimeInferenceRecommendations' => [ 'base' => NULL, 'refs' => [ 'DeploymentRecommendation$RealTimeInferenceRecommendations' => 'A list of RealTimeInferenceRecommendation items.
', ], ], 'RealtimeInferenceInstanceTypes' => [ 'base' => NULL, 'refs' => [ 'AdditionalInferenceSpecificationDefinition$SupportedRealtimeInferenceInstanceTypes' => 'A list of the instance types that are used to generate inferences in real-time.
', 'InferenceSpecification$SupportedRealtimeInferenceInstanceTypes' => 'A list of the instance types that are used to generate inferences in real-time.
This parameter is required for unversioned models, and optional for versioned models.
', ], ], 'RecommendationFailureReason' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobInferenceBenchmark$FailureReason' => 'The reason why a benchmark failed.
', ], ], 'RecommendationJobArn' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceRecommendationsJobResponse$JobArn' => 'The Amazon Resource Name (ARN) of the recommendation job.
', 'DescribeInferenceRecommendationsJobResponse$JobArn' => 'The Amazon Resource Name (ARN) of the job.
', 'InferenceRecommendationsJob$JobArn' => 'The Amazon Resource Name (ARN) of the recommendation job.
', ], ], 'RecommendationJobCompilationJobName' => [ 'base' => NULL, 'refs' => [ 'ModelConfiguration$CompilationJobName' => 'The name of the compilation job used to create the recommended model artifacts.
', ], ], 'RecommendationJobCompiledOutputConfig' => [ 'base' => 'Provides information about the output configuration for the compiled model.
', 'refs' => [ 'RecommendationJobOutputConfig$CompiledOutputConfig' => 'Provides information about the output configuration for the compiled model.
', ], ], 'RecommendationJobContainerConfig' => [ 'base' => 'Specifies mandatory fields for running an Inference Recommender job directly in the CreateInferenceRecommendationsJob API. The fields specified in ContainerConfig override the corresponding fields in the model package. Use ContainerConfig if you want to specify these fields for the recommendation job but don\'t want to edit them in your model package.
Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.
Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. This field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.
', ], ], 'RecommendationJobDescription' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceRecommendationsJobRequest$JobDescription' => 'Description of the recommendation job.
', 'DescribeInferenceRecommendationsJobResponse$JobDescription' => 'The job description that you provided when you initiated the job.
', 'InferenceRecommendationsJob$JobDescription' => 'The job description.
', ], ], 'RecommendationJobFrameworkVersion' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobContainerConfig$FrameworkVersion' => 'The framework version of the container image.
', ], ], 'RecommendationJobInferenceBenchmark' => [ 'base' => 'The details for a specific benchmark from an Inference Recommender job.
', 'refs' => [ 'InferenceRecommendationsJobStep$InferenceBenchmark' => 'The details for a specific benchmark.
', ], ], 'RecommendationJobInputConfig' => [ 'base' => 'The input configuration of the recommendation job.
', 'refs' => [ 'CreateInferenceRecommendationsJobRequest$InputConfig' => 'Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations.
', 'DescribeInferenceRecommendationsJobResponse$InputConfig' => 'Returns information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations you provided when you initiated the job.
', ], ], 'RecommendationJobName' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceRecommendationsJobRequest$JobName' => 'A name for the recommendation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account. The job name is passed down to the resources created by the recommendation job. The names of resources (such as the model, endpoint configuration, endpoint, and compilation) that are prefixed with the job name are truncated at 40 characters.
', 'DescribeInferenceRecommendationsJobRequest$JobName' => 'The name of the job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'DescribeInferenceRecommendationsJobResponse$JobName' => 'The name of the job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.
', 'GetScalingConfigurationRecommendationRequest$InferenceRecommendationsJobName' => 'The name of a previously completed Inference Recommender job.
', 'GetScalingConfigurationRecommendationResponse$InferenceRecommendationsJobName' => 'The name of a previously completed Inference Recommender job.
', 'InferenceRecommendationsJob$JobName' => 'The name of the job.
', 'InferenceRecommendationsJobStep$JobName' => 'The name of the Inference Recommender job.
', 'ListInferenceRecommendationsJobStepsRequest$JobName' => 'The name for the Inference Recommender job.
', 'StopInferenceRecommendationsJobRequest$JobName' => 'The name of the job you want to stop.
', ], ], 'RecommendationJobOutputConfig' => [ 'base' => 'Provides information about the output configuration for the compiled model.
', 'refs' => [ 'CreateInferenceRecommendationsJobRequest$OutputConfig' => 'Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.
', ], ], 'RecommendationJobPayloadConfig' => [ 'base' => 'The configuration for the payload for a recommendation job.
', 'refs' => [ 'RecommendationJobContainerConfig$PayloadConfig' => 'Specifies the SamplePayloadUrl and all other sample payload-related fields.
Specifies the maximum number of jobs that can run in parallel and the maximum number of jobs that can run.
', 'refs' => [ 'RecommendationJobInputConfig$ResourceLimit' => 'Defines the resource limit of the job.
', ], ], 'RecommendationJobStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeInferenceRecommendationsJobResponse$Status' => 'The status of the job.
', 'InferenceRecommendationsJob$Status' => 'The status of the job.
', 'InferenceRecommendationsJobStep$Status' => 'The current status of the benchmark.
', 'ListInferenceRecommendationsJobStepsRequest$Status' => 'A filter to return benchmarks of a specified status. If this field is left empty, then all benchmarks are returned.
', 'ListInferenceRecommendationsJobsRequest$StatusEquals' => 'A filter that retrieves only inference recommendations jobs with a specific status.
', ], ], 'RecommendationJobStoppingConditions' => [ 'base' => 'Specifies conditions for stopping a job. When a job reaches a stopping condition limit, SageMaker ends the job.
', 'refs' => [ 'CreateInferenceRecommendationsJobRequest$StoppingConditions' => 'A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically stopped.
', 'DescribeInferenceRecommendationsJobResponse$StoppingConditions' => 'The stopping conditions that you provided when you initiated the job.
', ], ], 'RecommendationJobSupportedContentType' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobSupportedContentTypes$member' => NULL, ], ], 'RecommendationJobSupportedContentTypes' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobPayloadConfig$SupportedContentTypes' => 'The supported MIME types for the input data.
', ], ], 'RecommendationJobSupportedEndpointType' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobContainerConfig$SupportedEndpointType' => 'The endpoint type to receive recommendations for. By default this is null, and the results of the inference recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint type.
', ], ], 'RecommendationJobSupportedInstanceTypes' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobContainerConfig$SupportedInstanceTypes' => 'A list of the instance types that are used to generate inferences in real-time.
', ], ], 'RecommendationJobSupportedResponseMIMEType' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobSupportedResponseMIMETypes$member' => NULL, ], ], 'RecommendationJobSupportedResponseMIMETypes' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobContainerConfig$SupportedResponseMIMETypes' => 'The supported MIME types for the output data.
', ], ], 'RecommendationJobType' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceRecommendationsJobRequest$JobType' => 'Defines the type of recommendation job. Specify Default to initiate an instance recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will run an instance recommendation (DEFAULT) job.
The job type that you provided when you initiated the job.
', 'InferenceRecommendationsJob$JobType' => 'The recommendation job type.
', ], ], 'RecommendationJobVpcConfig' => [ 'base' => 'Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
', 'refs' => [ 'RecommendationJobInputConfig$VpcConfig' => 'Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
', ], ], 'RecommendationJobVpcSecurityGroupId' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobVpcSecurityGroupIds$member' => NULL, ], ], 'RecommendationJobVpcSecurityGroupIds' => [ 'base' => NULL, 'refs' => [ 'RecommendationJobVpcConfig$SecurityGroupIds' => 'The VPC security group IDs. IDs have the form of sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
The ID of the subnets in the VPC to which you want to connect your model.
', ], ], 'RecommendationMetrics' => [ 'base' => 'The metrics of recommendations.
', 'refs' => [ 'InferenceRecommendation$Metrics' => 'The metrics used to decide what recommendation to make.
', 'RecommendationJobInferenceBenchmark$Metrics' => NULL, ], ], 'RecommendationStatus' => [ 'base' => NULL, 'refs' => [ 'DeploymentRecommendation$RecommendationStatus' => 'Status of the deployment recommendation. The status NOT_APPLICABLE means that SageMaker is unable to provide a default recommendation for the model using the information provided. If the deployment status is IN_PROGRESS, retry your API call after a few seconds to get a COMPLETED deployment recommendation.
The type of the subtask.
BENCHMARK: Evaluate the performance of your model on different instance types.
A filter to return details about the specified type of subtask.
BENCHMARK: Evaluate the performance of your model on different instance types.
Specify RecordIO as the value when input data is in raw format but the training algorithm requires the RecordIO format. In this case, SageMaker wraps each individual S3 object in a RecordIO record. If the input data is already in RecordIO format, you don\'t need to set this attribute. For more information, see Create a Dataset Using RecordIO.
In File mode, leave this field unset or set it to None.
', ], ], 'RedshiftClusterId' => [ 'base' => 'The Redshift cluster Identifier.
', 'refs' => [ 'RedshiftDatasetDefinition$ClusterId' => NULL, ], ], 'RedshiftDatabase' => [ 'base' => 'The name of the Redshift database used in Redshift query execution.
', 'refs' => [ 'RedshiftDatasetDefinition$Database' => NULL, ], ], 'RedshiftDatasetDefinition' => [ 'base' => 'Configuration for Redshift Dataset Definition input.
', 'refs' => [ 'DatasetDefinition$RedshiftDatasetDefinition' => NULL, ], ], 'RedshiftQueryString' => [ 'base' => 'The SQL query statements to be executed.
', 'refs' => [ 'RedshiftDatasetDefinition$QueryString' => NULL, ], ], 'RedshiftResultCompressionType' => [ 'base' => 'The compression used for Redshift query results.
', 'refs' => [ 'RedshiftDatasetDefinition$OutputCompression' => NULL, ], ], 'RedshiftResultFormat' => [ 'base' => 'The data storage format for Redshift query results.
', 'refs' => [ 'RedshiftDatasetDefinition$OutputFormat' => NULL, ], ], 'RedshiftUserName' => [ 'base' => 'The database user name used in Redshift query execution.
', 'refs' => [ 'RedshiftDatasetDefinition$DbUser' => NULL, ], ], 'ReferenceMinVersion' => [ 'base' => NULL, 'refs' => [ 'DescribeHubContentResponse$ReferenceMinVersion' => 'The minimum version of the hub content.
', ], ], 'RegisterDevicesRequest' => [ 'base' => NULL, 'refs' => [], ], 'RegisterModelStepMetadata' => [ 'base' => 'Metadata for a register model job step.
', 'refs' => [ 'PipelineExecutionStepMetadata$RegisterModel' => 'The Amazon Resource Name (ARN) of the model package that the model was registered to by this step execution.
', ], ], 'ReleaseNotes' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionRequest$ReleaseNotes' => 'The maintainer description of the image version.
', 'DescribeImageVersionResponse$ReleaseNotes' => 'The maintainer description of the image version.
', 'UpdateImageVersionRequest$ReleaseNotes' => 'The maintainer description of the image version.
', ], ], 'RemoteDebugConfig' => [ 'base' => 'Configuration for remote debugging for the CreateTrainingJob API. To learn more about the remote debugging functionality of SageMaker, see Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging.
', 'refs' => [ 'CreateTrainingJobRequest$RemoteDebugConfig' => 'Configuration for remote debugging. To learn more about the remote debugging functionality of SageMaker, see Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging.
', 'DescribeTrainingJobResponse$RemoteDebugConfig' => 'Configuration for remote debugging. To learn more about the remote debugging functionality of SageMaker, see Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging.
', ], ], 'RemoteDebugConfigForUpdate' => [ 'base' => 'Configuration for remote debugging for the UpdateTrainingJob API. To learn more about the remote debugging functionality of SageMaker, see Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging.
', 'refs' => [ 'UpdateTrainingJobRequest$RemoteDebugConfig' => 'Configuration for remote debugging while the training job is running. You can update the remote debugging configuration when the SecondaryStatus of the job is Downloading or Training.To learn more about the remote debugging functionality of SageMaker, see Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging.
Contains input values for a task.
', 'refs' => [ 'RenderUiTemplateRequest$Task' => 'A RenderableTask object containing a representative task to render.
A description of an error that occurred while rendering the template.
', 'refs' => [ 'RenderingErrorList$member' => NULL, ], ], 'RenderingErrorList' => [ 'base' => NULL, 'refs' => [ 'RenderUiTemplateResponse$Errors' => 'A list of one or more RenderingError objects if any were encountered while rendering the template. If there were no errors, the list is empty.
Set this to one of the following values:
Platform - The model image is hosted in Amazon ECR.
Vpc - The model image is hosted in a private Docker registry in your VPC.
Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field of the ImageConfig object that you passed to a call to CreateModel and the private Docker registry where the model image is hosted requires authentication.
(Optional) Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field, and the private Docker registry where the model image is hosted requires authentication.
The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function that provides credentials to authenticate to the private Docker registry where your model image is hosted. For information about how to create an Amazon Web Services Lambda function, see Create a Lambda function with the console in the Amazon Web Services Lambda Developer Guide.
', ], ], 'RepositoryUrl' => [ 'base' => NULL, 'refs' => [ 'CodeRepository$RepositoryUrl' => 'The URL of the Git repository.
', ], ], 'ReservedCapacityArn' => [ 'base' => NULL, 'refs' => [ 'ReservedCapacitySummary$ReservedCapacityArn' => 'The Amazon Resource Name (ARN); of the reserved capacity.
', ], ], 'ReservedCapacityDurationHours' => [ 'base' => NULL, 'refs' => [ 'ReservedCapacityOffering$DurationHours' => 'The number of whole hours in the total duration for this reserved capacity offering.
', 'ReservedCapacitySummary$DurationHours' => 'The number of whole hours in the total duration for this reserved capacity.
', ], ], 'ReservedCapacityDurationMinutes' => [ 'base' => NULL, 'refs' => [ 'ReservedCapacityOffering$DurationMinutes' => 'The additional minutes beyond whole hours in the total duration for this reserved capacity offering.
', 'ReservedCapacitySummary$DurationMinutes' => 'The additional minutes beyond whole hours in the total duration for this reserved capacity.
', ], ], 'ReservedCapacityInstanceCount' => [ 'base' => NULL, 'refs' => [ 'ReservedCapacityOffering$InstanceCount' => 'The number of instances in the reserved capacity offering.
', 'SearchTrainingPlanOfferingsRequest$InstanceCount' => 'The number of instances you want to reserve in the training plan offerings. This allows you to specify the quantity of compute resources needed for your SageMaker training jobs or SageMaker HyperPod clusters, helping you find reserved capacity offerings that match your requirements.
', ], ], 'ReservedCapacityInstanceType' => [ 'base' => NULL, 'refs' => [ 'ReservedCapacityOffering$InstanceType' => 'The instance type for the reserved capacity offering.
', 'ReservedCapacitySummary$InstanceType' => 'The instance type for the reserved capacity.
', 'SearchTrainingPlanOfferingsRequest$InstanceType' => 'The type of instance you want to search for in the available training plan offerings. This field allows you to filter the search results based on the specific compute resources you require for your SageMaker training jobs or SageMaker HyperPod clusters. When searching for training plan offerings, specifying the instance type helps you find Reserved Instances that match your computational needs.
', ], ], 'ReservedCapacityOffering' => [ 'base' => 'Details about a reserved capacity offering for a training plan offering.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
A list of reserved capacity offerings associated with this training plan offering.
', ], ], 'ReservedCapacityStatus' => [ 'base' => NULL, 'refs' => [ 'ReservedCapacitySummary$Status' => 'The current status of the reserved capacity.
', ], ], 'ReservedCapacitySummaries' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingPlanResponse$ReservedCapacitySummaries' => 'The list of Reserved Capacity providing the underlying compute resources of the plan.
', 'TrainingPlanSummary$ReservedCapacitySummaries' => 'A list of reserved capacities associated with this training plan, including details such as instance types, counts, and availability zones.
', ], ], 'ReservedCapacitySummary' => [ 'base' => 'Details of a reserved capacity for the training plan.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The resolved attributes.
', 'refs' => [ 'DescribeAutoMLJobResponse$ResolvedAttributes' => 'Contains ProblemType, AutoMLJobObjective, and CompletionCriteria. If you do not provide these values, they are inferred.
The Amazon Resource Name (ARN) of the resource that you want to tag.
', 'DeleteTagsInput$ResourceArn' => 'The Amazon Resource Name (ARN) of the resource whose tags you want to delete.
', 'ListTagsInput$ResourceArn' => 'The Amazon Resource Name (ARN) of the resource whose tags you want to retrieve.
', ], ], 'ResourceCatalog' => [ 'base' => ' A resource catalog containing all of the resources of a specific resource type within a resource owner account. For an example on sharing the Amazon SageMaker Feature Store DefaultFeatureGroupCatalog, see Share Amazon SageMaker Catalog resource type in the Amazon SageMaker Developer Guide.
The Amazon Resource Name (ARN) of the ResourceCatalog.
A free form description of the ResourceCatalog.
A list of the requested ResourceCatalogs.
A string that partially matches one or more ResourceCatalogs names. Filters ResourceCatalog by name.
The name of the ResourceCatalog.
The value on which the resource catalog list is sorted.
', ], ], 'ResourceCatalogSortOrder' => [ 'base' => NULL, 'refs' => [ 'ListResourceCatalogsRequest$SortOrder' => 'The order in which the resource catalogs are listed.
', ], ], 'ResourceConfig' => [ 'base' => 'Describes the resources, including machine learning (ML) compute instances and ML storage volumes, to use for model training.
', 'refs' => [ 'CreateTrainingJobRequest$ResourceConfig' => 'The resources, including the ML compute instances and ML storage volumes, to use for model training.
ML storage volumes store model artifacts and incremental states. Training algorithms might also use ML storage volumes for scratch space. If you want SageMaker to use the ML storage volume to store the training data, choose File as the TrainingInputMode in the algorithm specification. For distributed training algorithms, specify an instance count greater than 1.
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
', 'HyperParameterTrainingJobDefinition$ResourceConfig' => 'The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning job launches.
Storage volumes store model artifacts and incremental states. Training algorithms might also use storage volumes for scratch space. If you want SageMaker to use the storage volume to store the training data, choose File as the TrainingInputMode in the algorithm specification. For distributed training algorithms, specify an instance count greater than 1.
If you want to use hyperparameter optimization with instance type flexibility, use HyperParameterTuningResourceConfig instead.
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
', 'TrainingJobDefinition$ResourceConfig' => 'The resources, including the ML compute instances and ML storage volumes, to use for model training.
', ], ], 'ResourceConfigForUpdate' => [ 'base' => 'The ResourceConfig to update KeepAlivePeriodInSeconds. Other fields in the ResourceConfig cannot be updated.
The training job ResourceConfig to update warm pool retention length.
The ID of the Amazon Elastic File System managed by this Domain.
', ], ], 'ResourceInUse' => [ 'base' => 'Resource being accessed is in use.
', 'refs' => [], ], 'ResourceLimitExceeded' => [ 'base' => 'You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.
', 'refs' => [], ], 'ResourceLimits' => [ 'base' => 'Specifies the maximum number of training jobs and parallel training jobs that a hyperparameter tuning job can launch.
', 'refs' => [ 'HyperParameterTuningJobConfig$ResourceLimits' => 'The ResourceLimits object that specifies the maximum number of training and parallel training jobs that can be used for this hyperparameter tuning job.
', 'HyperParameterTuningJobSummary$ResourceLimits' => 'The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
', ], ], 'ResourceNotFound' => [ 'base' => 'Resource being access is not found.
', 'refs' => [], ], 'ResourcePolicyString' => [ 'base' => NULL, 'refs' => [ 'GetLineageGroupPolicyResponse$ResourcePolicy' => 'The resource policy that gives access to the lineage group in another account.
', ], ], 'ResourcePropertyName' => [ 'base' => NULL, 'refs' => [ 'Filter$Name' => 'A resource property name. For example, TrainingJobName. For valid property names, see SearchRecord. You must specify a valid property for the resource.
The name of the property to use in the nested filters. The value must match a listed property name, such as InputDataConfig.
A suggested property name based on what you entered in the search textbox in the SageMaker console.
', 'SearchRequest$SortBy' => 'The name of the resource property used to sort the SearchResults. The default is LastModifiedTime.
The billable time in seconds used by the warm pool. Billable time refers to the absolute wall-clock time.
Multiply ResourceRetainedBillableTimeInSeconds by the number of instances (InstanceCount) in your training cluster to get the total compute time SageMaker bills you if you run warm pool training. The formula is as follows: ResourceRetainedBillableTimeInSeconds * InstanceCount.
Resource sharing configuration.
', 'refs' => [ 'ComputeQuotaConfig$ResourceSharingConfig' => 'Resource sharing configuration. This defines how an entity can lend and borrow idle compute with other entities within the cluster.
', ], ], 'ResourceSharingStrategy' => [ 'base' => NULL, 'refs' => [ 'ResourceSharingConfig$Strategy' => 'The strategy of how idle compute is shared within the cluster. The following are the options of strategies.
DontLend: entities do not lend idle compute.
Lend: entities can lend idle compute to entities that can borrow.
LendandBorrow: entities can lend idle compute and borrow idle compute from other entities.
Default is LendandBorrow.
Specifies the ARN\'s of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.
', 'refs' => [ 'AppDetails$ResourceSpec' => NULL, 'CodeEditorAppSettings$DefaultResourceSpec' => NULL, 'CreateAppRequest$ResourceSpec' => 'The instance type and the Amazon Resource Name (ARN) of the SageMaker AI image created on the instance.
The value of InstanceType passed as part of the ResourceSpec in the CreateApp call overrides the value passed as part of the ResourceSpec configured for the user profile or the domain. If InstanceType is not specified in any of those three ResourceSpec values for a KernelGateway app, the CreateApp call fails with a request validation error.
The instance type and the Amazon Resource Name (ARN) of the SageMaker AI image created on the instance.
', 'JupyterLabAppSettings$DefaultResourceSpec' => NULL, 'JupyterServerAppSettings$DefaultResourceSpec' => 'The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the JupyterServer app. If you use the LifecycleConfigArns parameter, then this parameter is also required.
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker AI image used by the KernelGateway app.
The Amazon SageMaker AI Studio UI does not use the default instance type value set here. The default instance type set here is used when Apps are created using the CLI or CloudFormation and the instance type parameter value is not passed.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker AI image created on the instance.
', ], ], 'ResourceType' => [ 'base' => NULL, 'refs' => [ 'GetSearchSuggestionsRequest$Resource' => 'The name of the SageMaker resource to search for.
', 'SearchRequest$Resource' => 'The name of the SageMaker resource to search for.
', ], ], 'ResponseMIMEType' => [ 'base' => NULL, 'refs' => [ 'ResponseMIMETypes$member' => NULL, ], ], 'ResponseMIMETypes' => [ 'base' => NULL, 'refs' => [ 'AdditionalInferenceSpecificationDefinition$SupportedResponseMIMETypes' => 'The supported MIME types for the output data.
', 'InferenceSpecification$SupportedResponseMIMETypes' => 'The supported MIME types for the output data.
', ], ], 'RetentionPolicy' => [ 'base' => 'The retention policy for data stored on an Amazon Elastic File System volume.
', 'refs' => [ 'DeleteDomainRequest$RetentionPolicy' => 'The retention policy for this domain, which specifies whether resources will be retained after the Domain is deleted. By default, all resources are retained (not automatically deleted).
', ], ], 'RetentionType' => [ 'base' => NULL, 'refs' => [ 'RetentionPolicy$HomeEfsFileSystem' => 'The default is Retain, which specifies to keep the data stored on the Amazon EFS volume.
Specify Delete to delete the data stored on the Amazon EFS volume.
The retry strategy to use when a training job fails due to an InternalServerError. RetryStrategy is specified as part of the CreateTrainingJob and CreateHyperParameterTuningJob requests. You can add the StoppingCondition parameter to the request to limit the training time for the complete job.
The number of times to retry the job when the job fails due to an InternalServerError.
The number of times to retry the job when the job fails due to an InternalServerError.
The number of times to retry the job when the job fails due to an InternalServerError.
The number of times to retry the job when the job fails due to an InternalServerError.
The IAM roles that SageMaker uses to run the training jobs.
', 'AssumableRoleArns$member' => NULL, 'ClusterInstanceGroupDetails$ExecutionRole' => 'The execution role for the instance group to assume.
', 'ClusterInstanceGroupSpecification$ExecutionRole' => 'Specifies an IAM execution role to be assumed by the instance group.
', 'CreateAutoMLJobRequest$RoleArn' => 'The ARN of the role that is used to access the data.
', 'CreateAutoMLJobV2Request$RoleArn' => 'The ARN of the role that is used to access the data.
', 'CreateCompilationJobRequest$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
During model compilation, Amazon SageMaker AI needs your permission to:
Read input data from an S3 bucket
Write model artifacts to an S3 bucket
Write logs to Amazon CloudWatch Logs
Publish metrics to Amazon CloudWatch
You grant permissions for all of these tasks to an IAM role. To pass this role to Amazon SageMaker AI, the caller of this API must have the iam:PassRole permission. For more information, see Amazon SageMaker AI Roles.
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
', 'CreateDeviceFleetRequest$RoleArn' => 'The Amazon Resource Name (ARN) that has access to Amazon Web Services Internet of Things (IoT).
', 'CreateEdgePackagingJobRequest$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to download and upload the model, and to contact SageMaker Neo.
', 'CreateEndpointConfigInput$ExecutionRoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform actions on your behalf. For more information, see SageMaker AI Roles.
To be able to pass this role to Amazon SageMaker AI, the caller of this action must have the iam:PassRole permission.
The Amazon Resource Name (ARN) of the IAM execution role used to persist data into the OfflineStore if an OfflineStoreConfig is provided.
The Amazon Resource Name (ARN) of the role needed to call other services on your behalf. For example, arn:aws:iam::1234567890:role/service-role/AmazonSageMaker-ExecutionRole-20180111T151298.
The ARN of an IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
', 'CreateInferenceExperimentRequest$RoleArn' => 'The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
', 'CreateInferenceRecommendationsJobRequest$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
', 'CreateLabelingJobRequest$RoleArn' => 'The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete data labeling.
', 'CreateMlflowTrackingServerRequest$RoleArn' => 'The Amazon Resource Name (ARN) for an IAM role in your account that the MLflow Tracking Server uses to access the artifact store in Amazon S3. The role should have AmazonS3FullAccess permissions. For more information on IAM permissions for tracking server creation, see Set up IAM permissions for MLflow.
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
', 'CreateModelExplainabilityJobDefinitionRequest$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
', 'CreateModelInput$ExecutionRoleArn' => 'The Amazon Resource Name (ARN) of the IAM role that SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see SageMaker Roles.
To be able to pass this role to SageMaker, the caller of this API must have the iam:PassRole permission.
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
', 'CreateNotebookInstanceInput$RoleArn' => 'When you send any requests to Amazon Web Services resources from the notebook instance, SageMaker AI assumes this role to perform tasks on your behalf. You must grant this role necessary permissions so SageMaker AI can perform these tasks. The policy must allow the SageMaker AI service principal (sagemaker.amazonaws.com) permissions to assume this role. For more information, see SageMaker AI Roles.
To be able to pass this role to SageMaker AI, the caller of this API must have the iam:PassRole permission.
The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
During model optimization, Amazon SageMaker AI needs your permission to:
Read input data from an S3 bucket
Write model artifacts to an S3 bucket
Write logs to Amazon CloudWatch Logs
Publish metrics to Amazon CloudWatch
You grant permissions for all of these tasks to an IAM role. To pass this role to Amazon SageMaker AI, the caller of this API must have the iam:PassRole permission. For more information, see Amazon SageMaker AI Roles.
The ARN of the IAM role that the partner application uses.
', 'CreatePipelineRequest$RoleArn' => 'The Amazon Resource Name (ARN) of the role used by the pipeline to access and create resources.
', 'CreateProcessingJobRequest$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
', 'CreateTrainingJobRequest$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that SageMaker can assume to perform tasks on your behalf.
During model training, SageMaker needs your permission to read input data from an S3 bucket, download a Docker image that contains training code, write model artifacts to an S3 bucket, write logs to Amazon CloudWatch Logs, and publish metrics to Amazon CloudWatch. You grant permissions for all of these tasks to an IAM role. For more information, see SageMaker Roles.
To be able to pass this role to SageMaker, the caller of this API must have the iam:PassRole permission.
The ARN of the execution role for the space.
', 'DescribeAutoMLJobResponse$RoleArn' => 'The ARN of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
', 'DescribeAutoMLJobV2Response$RoleArn' => 'The ARN of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
', 'DescribeCompilationJobResponse$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI assumes to perform the model compilation job.
', 'DescribeDataQualityJobDefinitionResponse$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
', 'DescribeDeviceFleetResponse$RoleArn' => 'The Amazon Resource Name (ARN) that has access to Amazon Web Services Internet of Things (IoT).
', 'DescribeEdgePackagingJobResponse$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to download and upload the model, and to contact Neo.
', 'DescribeEndpointConfigOutput$ExecutionRoleArn' => 'The Amazon Resource Name (ARN) of the IAM role that you assigned to the endpoint configuration.
', 'DescribeFeatureGroupResponse$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM execution role used to persist data into the OfflineStore if an OfflineStoreConfig is provided.
', 'DescribeFlowDefinitionResponse$RoleArn' => 'The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) execution role for the flow definition.
', 'DescribeImageResponse$RoleArn' => 'The ARN of the IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
', 'DescribeInferenceExperimentResponse$RoleArn' => 'The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
', 'DescribeInferenceRecommendationsJobResponse$RoleArn' => 'The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role you provided when you initiated the job.
', 'DescribeLabelingJobResponse$RoleArn' => 'The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf during data labeling.
', 'DescribeMlflowTrackingServerResponse$RoleArn' => 'The Amazon Resource Name (ARN) for an IAM role in your account that the described MLflow Tracking Server uses to access the artifact store in Amazon S3.
', 'DescribeModelBiasJobDefinitionResponse$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
', 'DescribeModelExplainabilityJobDefinitionResponse$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.
', 'DescribeModelOutput$ExecutionRoleArn' => 'The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
', 'DescribeModelQualityJobDefinitionResponse$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
', 'DescribeNotebookInstanceOutput$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role associated with the instance.
', 'DescribeOptimizationJobResponse$RoleArn' => 'The ARN of the IAM role that you assigned to the optimization job.
', 'DescribePartnerAppResponse$ExecutionRoleArn' => 'The ARN of the IAM role associated with the SageMaker Partner AI App.
', 'DescribePipelineResponse$RoleArn' => 'The Amazon Resource Name (ARN) that the pipeline uses to execute.
', 'DescribeProcessingJobResponse$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
', 'DescribeTrainingJobResponse$RoleArn' => 'The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.
', 'EmrServerlessComputeConfig$ExecutionRoleARN' => 'The ARN of the IAM role granting the AutoML job V2 the necessary permissions access policies to list, connect to, or manage EMR Serverless jobs. For detailed information about the required permissions of this role, see "How to configure AutoML to initiate a remote job on EMR Serverless for large datasets" in Create a regression or classification job for tabular data using the AutoML API or Create an AutoML job for time-series forecasting using the API.
', 'EmrServerlessSettings$ExecutionRoleArn' => 'The Amazon Resource Name (ARN) of the Amazon Web Services IAM role that is assumed for running Amazon EMR Serverless jobs in SageMaker Canvas. This role should have the necessary permissions to read and write data attached and a trust relationship with EMR Serverless.
', 'ExecutionRoleArns$member' => NULL, 'FeatureGroup$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM execution role used to create the feature group.
', 'GenerativeAiSettings$AmazonBedrockRoleArn' => 'The ARN of an Amazon Web Services IAM role that allows fine-tuning of large language models (LLMs) in Amazon Bedrock. The IAM role should have Amazon S3 read and write permissions, as well as a trust relationship that establishes bedrock.amazonaws.com as a service principal.
The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.
', 'InferenceExperimentSummary$RoleArn' => 'The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
', 'InferenceRecommendationsJob$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
', 'Model$ExecutionRoleArn' => 'The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
', 'ModelPackageValidationSpecification$ValidationRole' => 'The IAM roles to be used for the validation of the model package.
', 'ModelRegisterSettings$CrossAccountModelRegisterRoleArn' => 'The Amazon Resource Name (ARN) of the SageMaker model registry account. Required only to register model versions created by a different SageMaker Canvas Amazon Web Services account than the Amazon Web Services account in which SageMaker model registry is set up.
', 'MonitoringJobDefinition$RoleArn' => 'The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
', 'Pipeline$RoleArn' => 'The Amazon Resource Name (ARN) of the role that created the pipeline.
', 'PipelineSummary$RoleArn' => 'The Amazon Resource Name (ARN) that the pipeline used to execute.
', 'ProcessingJob$RoleArn' => 'The ARN of the role used to create the processing job.
', 'RStudioServerProDomainSettings$DomainExecutionRoleArn' => 'The ARN of the execution role for the RStudioServerPro Domain-level app.
The execution role for the RStudioServerPro Domain-level app.
The IAM role attached to your Redshift cluster that Amazon SageMaker uses to generate datasets.
', 'RenderUiTemplateRequest$RoleArn' => 'The Amazon Resource Name (ARN) that has access to the S3 objects that are used by the template.
', 'TimeSeriesForecastingSettings$AmazonForecastRoleArn' => 'The IAM role that Canvas passes to Amazon Forecast for time series forecasting. By default, Canvas uses the execution role specified in the UserProfile that launches the Canvas application. If an execution role is not specified in the UserProfile, Canvas uses the execution role specified in the Domain that owns the UserProfile. To allow time series forecasting, this IAM role should have the AmazonSageMakerCanvasForecastAccess policy attached and forecast.amazonaws.com added in the trust relationship as a service principal.
The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.
', 'UpdateDeviceFleetRequest$RoleArn' => 'The Amazon Resource Name (ARN) of the device.
', 'UpdateImageRequest$RoleArn' => 'The new ARN for the IAM role that enables Amazon SageMaker AI to perform tasks on your behalf.
', 'UpdateNotebookInstanceInput$RoleArn' => 'The Amazon Resource Name (ARN) of the IAM role that SageMaker AI can assume to access the notebook instance. For more information, see SageMaker AI Roles.
To be able to pass this role to SageMaker AI, the caller of this API must have the iam:PassRole permission.
The Amazon Resource Name (ARN) that the pipeline uses to execute.
', 'UserSettings$ExecutionRole' => 'The execution role for the user.
SageMaker applies this setting only to private spaces that the user creates in the domain. SageMaker doesn\'t apply this setting to shared spaces.
', ], ], 'RollingUpdatePolicy' => [ 'base' => 'Specifies a rolling deployment strategy for updating a SageMaker endpoint.
', 'refs' => [ 'DeploymentConfig$RollingUpdatePolicy' => 'Specifies a rolling deployment strategy for updating a SageMaker endpoint.
', ], ], 'RootAccess' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceInput$RootAccess' => 'Whether root access is enabled or disabled for users of the notebook instance. The default value is Enabled.
Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users.
Whether root access is enabled or disabled for users of the notebook instance.
Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users.
Whether root access is enabled or disabled for users of the notebook instance. The default value is Enabled.
If you set this to Disabled, users don\'t have root access on the notebook instance, but lifecycle configuration scripts still run with root permissions.
Sets how the endpoint routes incoming traffic:
LEAST_OUTSTANDING_REQUESTS: The endpoint routes requests to the specific instances that have more capacity to process them.
RANDOM: The endpoint routes each request to a randomly chosen instance.
The name of the rule configuration. It must be unique relative to other rule configuration names.
', 'DebugRuleEvaluationStatus$RuleConfigurationName' => 'The name of the rule configuration.
', 'ProfilerRuleConfiguration$RuleConfigurationName' => 'The name of the rule configuration. It must be unique relative to other rule configuration names.
', 'ProfilerRuleEvaluationStatus$RuleConfigurationName' => 'The name of the rule configuration.
', ], ], 'RuleEvaluationStatus' => [ 'base' => NULL, 'refs' => [ 'DebugRuleEvaluationStatus$RuleEvaluationStatus' => 'Status of the rule evaluation.
', 'ProfilerRuleEvaluationStatus$RuleEvaluationStatus' => 'Status of the rule evaluation.
', ], ], 'RuleParameters' => [ 'base' => NULL, 'refs' => [ 'DebugRuleConfiguration$RuleParameters' => 'Runtime configuration for rule container.
', 'ProfilerRuleConfiguration$RuleParameters' => 'Runtime configuration for rule container.
', ], ], 'S3DataDistribution' => [ 'base' => NULL, 'refs' => [ 'S3DataSource$S3DataDistributionType' => 'If you want SageMaker to replicate the entire dataset on each ML compute instance that is launched for model training, specify FullyReplicated.
If you want SageMaker to replicate a subset of data on each ML compute instance that is launched for model training, specify ShardedByS3Key. If there are n ML compute instances launched for a training job, each instance gets approximately 1/n of the number of S3 objects. In this case, model training on each machine uses only the subset of training data.
Don\'t choose more ML compute instances for training than available S3 objects. If you do, some nodes won\'t get any data and you will pay for nodes that aren\'t getting any training data. This applies in both File and Pipe modes. Keep this in mind when developing algorithms.
In distributed training, where you use multiple ML compute EC2 instances, you might choose ShardedByS3Key. If the algorithm requires copying training data to the ML storage volume (when TrainingInputMode is set to File), this copies 1/n of the number of objects.
Describes the S3 data source.
Your input bucket must be in the same Amazon Web Services region as your training job.
', 'refs' => [ 'DataSource$S3DataSource' => 'The S3 location of the data source that is associated with a channel.
', ], ], 'S3DataType' => [ 'base' => NULL, 'refs' => [ 'S3DataSource$S3DataType' => 'If you choose S3Prefix, S3Uri identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training.
If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training.
If you choose AugmentedManifestFile, S3Uri identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. AugmentedManifestFile can only be used if the Channel\'s input mode is Pipe.
If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for batch transform.
If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for batch transform.
The following values are compatible: ManifestFile, S3Prefix
The following value is not compatible: AugmentedManifestFile
Specifies the S3 location of ML model data to deploy.
', 'refs' => [ 'AdditionalModelDataSource$S3DataSource' => NULL, 'ModelDataSource$S3DataSource' => 'Specifies the S3 location of ML model data to deploy.
', ], ], 'S3ModelDataType' => [ 'base' => NULL, 'refs' => [ 'S3ModelDataSource$S3DataType' => 'Specifies the type of ML model data to deploy.
If you choose S3Prefix, S3Uri identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix as part of the ML model data to deploy. A valid key name prefix identified by S3Uri always ends with a forward slash (/).
If you choose S3Object, S3Uri identifies an object that is the ML model data to deploy.
Specifies the S3 path of ML model data to deploy.
', 'S3ModelDataSource$ManifestS3Uri' => 'The Amazon S3 URI of the manifest file. The manifest file is a CSV file that stores the artifact locations.
', ], ], 'S3OutputPath' => [ 'base' => NULL, 'refs' => [ 'HubS3StorageConfig$S3OutputPath' => 'The Amazon S3 bucket prefix for hosting hub content.
', ], ], 'S3Presign' => [ 'base' => 'This object defines the access restrictions to Amazon S3 resources that are included in custom worker task templates using the Liquid filter, grant_read_access.
To learn more about how custom templates are created, see Create custom worker task templates.
', 'refs' => [ 'WorkerAccessConfiguration$S3Presign' => 'Defines any Amazon S3 resource constraints.
', ], ], 'S3StorageConfig' => [ 'base' => 'The Amazon Simple Storage (Amazon S3) location and security configuration for OfflineStore.
The Amazon Simple Storage (Amazon S3) location of OfflineStore.
The uniform resource identifier (URI) used to identify an additional data source used in inference or training.
', 'AthenaDatasetDefinition$OutputS3Uri' => 'The location in Amazon S3 where Athena query results are stored.
', 'AutoMLCandidateGenerationConfig$FeatureSpecificationS3Uri' => 'A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot job. You can input FeatureAttributeNames (optional) in JSON format as shown below:
{ "FeatureAttributeNames":["col1", "col2", ...] }.
You can also specify the data type of the feature (optional) in the format shown below:
{ "FeatureDataTypes":{"col1":"numeric", "col2":"categorical" ... } }
These column keys may not include the target column.
In ensembling mode, Autopilot only supports the following data types: numeric, categorical, text, and datetime. In HPO mode, Autopilot can support numeric, categorical, text, datetime, and sequence.
If only FeatureDataTypes is provided, the column keys (col1, col2,..) should be a subset of the column names in the input data.
If both FeatureDataTypes and FeatureAttributeNames are provided, then the column keys should be a subset of the column names provided in FeatureAttributeNames.
The key name FeatureAttributeNames is fixed. The values listed in ["col1", "col2", ...] are case sensitive and should be a list of strings containing unique values that are a subset of the column names in the input data. The list of columns provided must not include the target column.
The Amazon S3 output path. Must be 512 characters or less.
', 'AutoMLS3DataSource$S3Uri' => 'The URL to the Amazon S3 data source. The Uri refers to the Amazon S3 prefix or ManifestFile depending on the data type.
', 'BatchDataCaptureConfig$DestinationS3Uri' => 'The Amazon S3 location being used to capture the data.
', 'CheckpointConfig$S3Uri' => 'Identifies the S3 path where you want SageMaker to store checkpoints. For example, s3://bucket-name/key-name-prefix.
An Amazon S3 bucket path where your lifecycle scripts are stored.
Make sure that the S3 bucket path starts with s3://sagemaker-. The IAM role for SageMaker HyperPod has the managed AmazonSageMakerClusterInstanceRolePolicy attached, which allows access to S3 buckets with the specific prefix sagemaker-.
The S3 URI of the file, referred to as a label category configuration file, that defines the categories used to label the data objects.
For 3D point cloud and video frame task types, you can add label category attributes and frame attributes to your label category configuration file. To learn how, see Create a Labeling Category Configuration File for 3D Point Cloud Labeling Jobs.
For named entity recognition jobs, in addition to "labels", you must provide worker instructions in the label category configuration file using the "instructions" parameter: "instructions": {"shortInstruction":"<h1>Add header</h1><p>Add Instructions</p>", "fullInstruction":"<p>Add additional instructions.</p>"}. For details and an example, see Create a Named Entity Recognition Labeling Job (API) .
For all other built-in task types and custom tasks, your label category configuration file must be a JSON file in the following format. Identify the labels you want to use by replacing label_1, label_2,...,label_n with your label categories.
{
"document-version": "2018-11-28",
"labels": [{"label": "label_1"},{"label": "label_2"},...{"label": "label_n"}]
}
Note the following about the label category configuration file:
For image classification and text classification (single and multi-label) you must specify at least two label categories. For all other task types, the minimum number of label categories required is one.
Each label category must be unique, you cannot specify duplicate label categories.
If you create a 3D point cloud or video frame adjustment or verification labeling job, you must include auditLabelAttributeName in the label category configuration. Use this parameter to enter the LabelAttributeName of the labeling job you want to adjust or verify annotations of.
The S3 URI for a general purpose bucket to use as the MLflow Tracking Server artifact store.
', 'CreateModelPackageInput$SamplePayloadUrl' => 'The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix). This archive can hold multiple files that are all equally used in the load test. Each file in the archive must satisfy the size constraints of the InvokeEndpoint call.
', 'DataQualityAppSpecification$RecordPreprocessorSourceUri' => 'An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flattened JSON so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
', 'DataQualityAppSpecification$PostAnalyticsProcessorSourceUri' => 'An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
', 'DebugHookConfig$S3OutputPath' => 'Path to Amazon S3 storage location for metrics and tensors.
', 'DebugRuleConfiguration$S3OutputPath' => 'Path to Amazon S3 storage location for rules.
', 'DescribeEdgePackagingJobResponse$ModelArtifact' => 'The Amazon Simple Storage (S3) URI where model artifacts ares stored.
', 'DescribeLabelingJobResponse$LabelCategoryConfigS3Uri' => 'The S3 location of the JSON file that defines the categories used to label data objects. Please note the following label-category limits:
Semantic segmentation labeling jobs using automated labeling: 20 labels
Box bounding labeling jobs (all): 10 labels
The file is a JSON structure in the following format:
{
"document-version": "2018-11-28"
"labels": [
{
"label": "label 1"
},
{
"label": "label 2"
},
...
{
"label": "label n"
}
]
}
The S3 URI of the general purpose bucket used as the MLflow Tracking Server artifact store.
', 'EdgeOutputConfig$S3OutputLocation' => 'The Amazon Simple Storage (S3) bucker URI.
', 'FileSource$S3Uri' => 'The Amazon S3 URI for the file source.
', 'FlowDefinitionOutputConfig$S3OutputPath' => 'The Amazon S3 path where the object containing human output will be made available.
To learn more about the format of Amazon A2I output data, see Amazon A2I Output Data.
', 'InferenceRecommendationsJob$SamplePayloadUrl' => 'The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
', 'InputConfig$S3Uri' => 'The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
', 'LabelingJobOutput$OutputDatasetS3Uri' => 'The Amazon S3 bucket location of the manifest file for labeled data.
', 'LabelingJobOutputConfig$S3OutputPath' => 'The Amazon S3 location to write output data.
', 'LabelingJobS3DataSource$ManifestS3Uri' => 'The Amazon S3 location of the manifest file that describes the input data objects.
The input manifest file referenced in ManifestS3Uri must contain one of the following keys: source-ref or source. The value of the keys are interpreted as follows:
source-ref: The source of the object is the Amazon S3 object specified in the value. Use this value when the object is a binary object, such as an image.
source: The source of the object is the value. Use this value when the object is a text value.
If you are a new user of Ground Truth, it is recommended you review Use an Input Manifest File in the Amazon SageMaker Developer Guide to learn how to create an input manifest file.
', 'MetricsSource$S3Uri' => 'The S3 URI for the metrics source.
', 'ModelArtifacts$S3ModelArtifacts' => 'The path of the S3 object that contains the model artifacts. For example, s3://bucket-name/keynameprefix/model.tar.gz.
JSON formatted S3 file that defines bias parameters. For more information on this JSON configuration file, see Configure bias parameters.
', 'ModelCardExportArtifacts$S3ExportArtifacts' => 'The Amazon S3 URI of the exported model artifacts.
', 'ModelCardExportOutputConfig$S3OutputPath' => 'The Amazon S3 output path to export your model card PDF.
', 'ModelExplainabilityAppSpecification$ConfigUri' => 'JSON formatted Amazon S3 file that defines explainability parameters. For more information on this JSON configuration file, see Configure model explainability parameters.
', 'ModelQualityAppSpecification$RecordPreprocessorSourceUri' => 'An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flattened JSON so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
', 'ModelQualityAppSpecification$PostAnalyticsProcessorSourceUri' => 'An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
', 'MonitoringAppSpecification$RecordPreprocessorSourceUri' => 'An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flattened JSON so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
', 'MonitoringAppSpecification$PostAnalyticsProcessorSourceUri' => 'An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
', 'MonitoringConstraintsResource$S3Uri' => 'The Amazon S3 URI for the constraints resource.
', 'MonitoringStatisticsResource$S3Uri' => 'The Amazon S3 URI for the statistics resource.
', 'OptimizationJobModelSourceS3$S3Uri' => 'An Amazon S3 URI that locates a source model to optimize with an optimization job.
', 'OptimizationJobOutputConfig$S3OutputLocation' => 'The Amazon S3 URI for where to store the optimized model that you create with an optimization job.
', 'OutputConfig$S3OutputLocation' => 'Identifies the S3 bucket where you want Amazon SageMaker AI to store the model artifacts. For example, s3://bucket-name/key-name-prefix.
Identifies the S3 path where you want SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.
The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.
', 'ProcessingS3Output$S3Uri' => 'A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing job.
', 'ProfilerConfig$S3OutputPath' => 'Path to Amazon S3 storage location for system and framework metrics.
', 'ProfilerConfigForUpdate$S3OutputPath' => 'Path to Amazon S3 storage location for system and framework metrics.
', 'ProfilerRuleConfiguration$S3OutputPath' => 'Path to Amazon S3 storage location for rules.
', 'RecommendationJobCompiledOutputConfig$S3OutputUri' => 'Identifies the Amazon S3 bucket where you want SageMaker to store the compiled model artifacts.
', 'RecommendationJobPayloadConfig$SamplePayloadUrl' => 'The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
', 'RedshiftDatasetDefinition$OutputS3Uri' => 'The location in Amazon S3 where the Redshift query results are stored.
', 'S3DataSource$S3Uri' => 'Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:
A key name prefix might look like this: s3://bucketname/exampleprefix/
A manifest might look like this: s3://bucketname/example.manifest
A manifest is an S3 object which is a JSON file consisting of an array of elements. The first element is a prefix which is followed by one or more suffixes. SageMaker appends the suffix elements to the prefix to get a full set of S3Uri. Note that the prefix must be a valid non-empty S3Uri that precludes users from specifying a manifest whose individual S3Uri is sourced from different S3 buckets.
The following code example shows a valid manifest format:
[ {"prefix": "s3://customer_bucket/some/prefix/"},
"relative/path/to/custdata-1",
"relative/path/custdata-2",
...
"relative/path/custdata-N"
]
This JSON is equivalent to the following S3Uri list:
s3://customer_bucket/some/prefix/relative/path/to/custdata-1
s3://customer_bucket/some/prefix/relative/path/custdata-2
...
s3://customer_bucket/some/prefix/relative/path/custdata-N
The complete set of S3Uri in this manifest is the input data for the channel for this data source. The object that each S3Uri points to must be readable by the IAM role that SageMaker uses to perform tasks on your behalf.
Your input bucket must be located in same Amazon Web Services region as your training job.
', 'S3StorageConfig$S3Uri' => 'The S3 URI, or location in Amazon S3, of OfflineStore.
S3 URIs have a format similar to the following: s3://example-bucket/prefix/.
The S3 path where offline records are written.
', 'SharingSettings$S3OutputPath' => 'When NotebookOutputOption is Allowed, the Amazon S3 bucket used to store the shared notebook snapshots.
A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot job V2. You can input FeatureAttributeNames (optional) in JSON format as shown below:
{ "FeatureAttributeNames":["col1", "col2", ...] }.
You can also specify the data type of the feature (optional) in the format shown below:
{ "FeatureDataTypes":{"col1":"numeric", "col2":"categorical" ... } }
These column keys may not include the target column.
In ensembling mode, Autopilot only supports the following data types: numeric, categorical, text, and datetime. In HPO mode, Autopilot can support numeric, categorical, text, datetime, and sequence.
If only FeatureDataTypes is provided, the column keys (col1, col2,..) should be a subset of the column names in the input data.
If both FeatureDataTypes and FeatureAttributeNames are provided, then the column keys should be a subset of the column names provided in FeatureAttributeNames.
The key name FeatureAttributeNames is fixed. The values listed in ["col1", "col2", ...] are case sensitive and should be a list of strings containing unique values that are a subset of the column names in the input data. The list of columns provided must not include the target column.
Path to Amazon S3 storage location for TensorBoard output.
', 'TimeSeriesForecastingJobConfig$FeatureSpecificationS3Uri' => 'A URL to the Amazon S3 data source containing additional selected features that complement the target, itemID, timestamp, and grouped columns set in TimeSeriesConfig. When not provided, the AutoML job V2 includes all the columns from the original dataset that are not already declared in TimeSeriesConfig. If provided, the AutoML job V2 only considers these additional columns as a complement to the ones declared in TimeSeriesConfig.
You can input FeatureAttributeNames (optional) in JSON format as shown below:
{ "FeatureAttributeNames":["col1", "col2", ...] }.
You can also specify the data type of the feature (optional) in the format shown below:
{ "FeatureDataTypes":{"col1":"numeric", "col2":"categorical" ... } }
Autopilot supports the following data types: numeric, categorical, text, and datetime.
These column keys must not include any column set in TimeSeriesConfig.
The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job. For example, s3://bucket-name/key-name-prefix.
For every S3 object used as input for the transform job, batch transform stores the transformed data with an .out suffix in a corresponding subfolder in the location in the output prefix. For example, for the input data stored at s3://bucket-name/input-name-prefix/dataset01/data.csv, batch transform stores the transformed data at s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out. Batch transform doesn\'t upload partially processed objects. For an input S3 object that contains multiple records, it creates an .out file only if the transform job succeeds on the entire file. When the input contains multiple S3 objects, the batch transform job processes the listed S3 objects and uploads only the output for successfully processed objects. If any object fails in the transform job batch transform marks the job as failed to prompt investigation.
Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:
A key name prefix might look like this: s3://bucketname/exampleprefix/.
A manifest might look like this: s3://bucketname/example.manifest
The manifest is an S3 object which is a JSON file with the following format:
[ {"prefix": "s3://customer_bucket/some/prefix/"},
"relative/path/to/custdata-1",
"relative/path/custdata-2",
...
"relative/path/custdata-N"
]
The preceding JSON matches the following S3Uris:
s3://customer_bucket/some/prefix/relative/path/to/custdata-1
s3://customer_bucket/some/prefix/relative/path/custdata-2
...
s3://customer_bucket/some/prefix/relative/path/custdata-N
The complete set of S3Uris in this manifest constitutes the input data for the channel for this datasource. The object that each S3Uris points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.
The Amazon S3 bucket location of the UI template, or worker task template. This is the template used to render the worker UI and tools for labeling job tasks. For more information about the contents of a UI template, see Creating Your Custom Labeling Task Template.
', 'UpdateMlflowTrackingServerRequest$ArtifactStoreUri' => 'The new S3 URI for the general purpose bucket to use as the artifact store for the MLflow Tracking Server.
', 'WorkspaceSettings$S3ArtifactPath' => 'The Amazon S3 bucket used to store artifacts generated by Canvas. Updating the Amazon S3 location impacts existing configuration settings, and Canvas users no longer have access to their artifacts. Canvas users must log out and log back in to apply the new location.
', ], ], 'SageMakerImageName' => [ 'base' => NULL, 'refs' => [ 'HiddenSageMakerImage$SageMakerImageName' => 'The SageMaker image name that you are hiding from the Studio user interface.
', ], ], 'SageMakerImageVersionAlias' => [ 'base' => NULL, 'refs' => [ 'DeleteImageVersionRequest$Alias' => 'The alias of the image to delete.
', 'DescribeImageVersionRequest$Alias' => 'The alias of the image version.
', 'ListAliasesRequest$Alias' => 'The alias of the image version.
', 'SageMakerImageVersionAliases$member' => NULL, 'UpdateImageVersionRequest$Alias' => 'The alias of the image version.
', ], ], 'SageMakerImageVersionAliases' => [ 'base' => NULL, 'refs' => [ 'CreateImageVersionRequest$Aliases' => 'A list of aliases created with the image version.
', 'ListAliasesResponse$SageMakerImageVersionAliases' => 'A list of SageMaker AI image version aliases.
', 'UpdateImageVersionRequest$AliasesToAdd' => 'A list of aliases to add.
', 'UpdateImageVersionRequest$AliasesToDelete' => 'A list of aliases to delete.
', ], ], 'SageMakerPublicHubContentArn' => [ 'base' => NULL, 'refs' => [ 'CreateHubContentReferenceRequest$SageMakerPublicHubContentArn' => 'The ARN of the public hub content to reference.
', 'DescribeHubContentResponse$SageMakerPublicHubContentArn' => 'The ARN of the public hub content.
', 'HubContentInfo$SageMakerPublicHubContentArn' => 'The ARN of the public hub content.
', ], ], 'SageMakerResourceName' => [ 'base' => NULL, 'refs' => [ 'SageMakerResourceNames$member' => NULL, ], ], 'SageMakerResourceNames' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingPlanResponse$TargetResources' => 'The target resources (e.g., SageMaker Training Jobs, SageMaker HyperPod) that can use this training plan.
Training plans are specific to their target resource.
A training plan designed for SageMaker training jobs can only be used to schedule and run training jobs.
A training plan for HyperPod clusters can be used exclusively to provide compute resources to a cluster\'s instance group.
The target resources (e.g., SageMaker Training Jobs, SageMaker HyperPod) to search for in the offerings.
Training plans are specific to their target resource.
A training plan designed for SageMaker training jobs can only be used to schedule and run training jobs.
A training plan for HyperPod clusters can be used exclusively to provide compute resources to a cluster\'s instance group.
The target resources (e.g., SageMaker Training Jobs, SageMaker HyperPod) for this training plan offering.
Training plans are specific to their target resource.
A training plan designed for SageMaker training jobs can only be used to schedule and run training jobs.
A training plan for HyperPod clusters can be used exclusively to provide compute resources to a cluster\'s instance group.
The target resources (e.g., training jobs, HyperPod clusters) that can use this training plan.
Training plans are specific to their target resource.
A training plan designed for SageMaker training jobs can only be used to schedule and run training jobs.
A training plan for HyperPod clusters can be used exclusively to provide compute resources to a cluster\'s instance group.
Whether Service Catalog is enabled or disabled in SageMaker.
', ], ], 'SampleWeightAttributeName' => [ 'base' => NULL, 'refs' => [ 'AutoMLChannel$SampleWeightAttributeName' => 'If specified, this column name indicates which column of the dataset should be treated as sample weights for use by the objective metric during the training, evaluation, and the selection of the best model. This column is not considered as a predictive feature. For more information on Autopilot metrics, see Metrics and validation.
Sample weights should be numeric, non-negative, with larger values indicating which rows are more important than others. Data points that have invalid or no weight value are excluded.
Support for sample weights is available in Ensembling mode only.
', 'TabularJobConfig$SampleWeightAttributeName' => 'If specified, this column name indicates which column of the dataset should be treated as sample weights for use by the objective metric during the training, evaluation, and the selection of the best model. This column is not considered as a predictive feature. For more information on Autopilot metrics, see Metrics and validation.
Sample weights should be numeric, non-negative, with larger values indicating which rows are more important than others. Data points that have invalid or no weight value are excluded.
Support for sample weights is available in Ensembling mode only.
', ], ], 'SamplingPercentage' => [ 'base' => NULL, 'refs' => [ 'DataCaptureConfig$InitialSamplingPercentage' => 'The percentage of requests SageMaker AI will capture. A lower value is recommended for Endpoints with high traffic.
', 'DataCaptureConfigSummary$CurrentSamplingPercentage' => 'The percentage of requests being captured by your Endpoint.
', ], ], 'ScalingPolicies' => [ 'base' => NULL, 'refs' => [ 'DynamicScalingConfiguration$ScalingPolicies' => 'An object of the scaling policies for each metric.
', ], ], 'ScalingPolicy' => [ 'base' => 'An object containing a recommended scaling policy.
', 'refs' => [ 'ScalingPolicies$member' => NULL, ], ], 'ScalingPolicyMetric' => [ 'base' => 'The metric for a scaling policy.
', 'refs' => [ 'GetScalingConfigurationRecommendationResponse$Metric' => 'An object with a list of metrics that were benchmarked during the previously completed Inference Recommender job.
', ], ], 'ScalingPolicyObjective' => [ 'base' => 'An object where you specify the anticipated traffic pattern for an endpoint.
', 'refs' => [ 'GetScalingConfigurationRecommendationRequest$ScalingPolicyObjective' => 'An object where you specify the anticipated traffic pattern for an endpoint.
', 'GetScalingConfigurationRecommendationResponse$ScalingPolicyObjective' => 'An object representing the anticipated traffic pattern for an endpoint that you specified in the request.
', ], ], 'ScheduleConfig' => [ 'base' => 'Configuration details about the monitoring schedule.
', 'refs' => [ 'MonitoringScheduleConfig$ScheduleConfig' => 'Configures the monitoring schedule.
', ], ], 'ScheduleExpression' => [ 'base' => NULL, 'refs' => [ 'ScheduleConfig$ScheduleExpression' => 'A cron expression that describes details about the monitoring schedule.
The supported cron expressions are:
If you want to set the job to start every hour, use the following:
Hourly: cron(0 * ? * * *)
If you want to start the job daily:
cron(0 [00-23] ? * * *)
If you want to run the job one time, immediately, use the following keyword:
NOW
For example, the following are valid cron expressions:
Daily at noon UTC: cron(0 12 ? * * *)
Daily at midnight UTC: cron(0 0 ? * * *)
To support running every 6, 12 hours, the following are also supported:
cron(0 [00-23]/[01-24] ? * * *)
For example, the following are valid cron expressions:
Every 12 hours, starting at 5pm UTC: cron(0 17/12 ? * * *)
Every two hours starting at midnight: cron(0 0/2 ? * * *)
Even though the cron expression is set to start at 5PM UTC, note that there could be a delay of 0-20 minutes from the actual requested time to run the execution.
We recommend that if you would like a daily schedule, you do not provide this parameter. Amazon SageMaker AI will pick a time for running every day.
You can also specify the keyword NOW to run the monitoring job immediately, one time, without recurring.
The status of an monitoring job.
', 'ListMonitoringSchedulesRequest$StatusEquals' => 'A filter that returns only monitoring schedules modified before a specified time.
', 'ModelDashboardMonitoringSchedule$MonitoringScheduleStatus' => 'The status of the monitoring schedule.
', 'MonitoringSchedule$MonitoringScheduleStatus' => 'The status of the monitoring schedule. This can be one of the following values.
PENDING - The schedule is pending being created.
FAILED - The schedule failed.
SCHEDULED - The schedule was successfully created.
STOPPED - The schedule was stopped.
The status of the monitoring schedule.
', ], ], 'SchedulerConfig' => [ 'base' => 'Cluster policy configuration. This policy is used for task prioritization and fair-share allocation. This helps prioritize critical workloads and distributes idle compute across entities.
', 'refs' => [ 'CreateClusterSchedulerConfigRequest$SchedulerConfig' => 'Configuration about the monitoring schedule.
', 'DescribeClusterSchedulerConfigResponse$SchedulerConfig' => 'Cluster policy configuration. This policy is used for task prioritization and fair-share allocation. This helps prioritize critical workloads and distributes idle compute across entities.
', 'UpdateClusterSchedulerConfigRequest$SchedulerConfig' => 'Cluster policy configuration.
', ], ], 'SchedulerResourceStatus' => [ 'base' => NULL, 'refs' => [ 'ClusterSchedulerConfigSummary$Status' => 'Status of the cluster policy.
', 'ComputeQuotaSummary$Status' => 'Status of the compute allocation definition.
', 'DescribeClusterSchedulerConfigResponse$Status' => 'Status of the cluster policy.
', 'DescribeComputeQuotaResponse$Status' => 'Status of the compute allocation definition.
', 'ListClusterSchedulerConfigsRequest$Status' => 'Filter for status.
', 'ListComputeQuotasRequest$Status' => 'Filter for status.
', ], ], 'Scope' => [ 'base' => NULL, 'refs' => [ 'OidcConfig$Scope' => 'An array of string identifiers used to refer to the specific pieces of user data or claims that the client application wants to access.
', 'OidcConfigForResponse$Scope' => 'An array of string identifiers used to refer to the specific pieces of user data or claims that the client application wants to access.
', ], ], 'SearchExpression' => [ 'base' => 'A multi-expression that searches for the specified resource or resources in a search. All resource objects that satisfy the expression\'s condition are included in the search results. You must specify at least one subexpression, filter, or nested filter. A SearchExpression can contain up to twenty elements.
A SearchExpression contains the following components:
A list of Filter objects. Each filter defines a simple Boolean expression comprised of a resource property name, Boolean operator, and value.
A list of NestedFilter objects. Each nested filter defines a list of Boolean expressions using a list of resource properties. A nested filter is satisfied if a single object in the list satisfies all Boolean expressions.
A list of SearchExpression objects. A search expression object can be nested in a list of search expression objects.
A Boolean operator: And or Or.
A Boolean conditional statement. Resources must satisfy this condition to be included in search results. You must provide at least one subexpression, filter, or nested filter. The maximum number of recursive SubExpressions, NestedFilters, and Filters that can be included in a SearchExpression object is 50.
A list of search expression objects.
', ], ], 'SearchRecord' => [ 'base' => 'A single resource returned as part of the Search API response.
', 'refs' => [ 'SearchResultsList$member' => NULL, ], ], 'SearchRequest' => [ 'base' => NULL, 'refs' => [], ], 'SearchResponse' => [ 'base' => NULL, 'refs' => [], ], 'SearchResultsList' => [ 'base' => NULL, 'refs' => [ 'SearchResponse$Results' => 'A list of SearchRecord objects.
How SearchResults are ordered. Valid values are Ascending or Descending. The default is Descending.
Provides detailed information about the state of the training job. For detailed information on the secondary status of the training job, see StatusMessage under SecondaryStatusTransition.
SageMaker provides primary statuses and secondary statuses that apply to each of them:
Starting - Starting the training job.
Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
Training - Training is in progress.
Interrupted - The job stopped because the managed spot training instances were interrupted.
Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
Completed - The training job has completed.
Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.
MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
MaxWaitTimeExceeded - The job stopped because it exceeded the maximum allowed wait time.
Stopped - The training job has stopped.
Stopping - Stopping the training job.
Valid values for SecondaryStatus are subject to change.
We no longer support the following secondary statuses:
LaunchingMLInstances
PreparingTraining
DownloadingTrainingImage
Contains a secondary status information from a training job.
Status might be one of the following secondary statuses:
Starting - Starting the training job.
Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
Training - Training is in progress.
Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
Completed - The training job has completed.
Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.
MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
Stopped - The training job has stopped.
Stopping - Stopping the training job.
We no longer support the following secondary statuses:
LaunchingMLInstances
PreparingTrainingStack
DownloadingTrainingImage
Provides detailed information about the state of the training job. For detailed information about the secondary status of the training job, see StatusMessage under SecondaryStatusTransition.
SageMaker provides primary statuses and secondary statuses that apply to each of them:
Starting - Starting the training job.
Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
Training - Training is in progress.
Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
Completed - The training job has completed.
Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.
MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
Stopped - The training job has stopped.
Stopping - Stopping the training job.
Valid values for SecondaryStatus are subject to change.
We no longer support the following secondary statuses:
LaunchingMLInstances
PreparingTrainingStack
DownloadingTrainingImage
The secondary status of the training job.
', ], ], 'SecondaryStatusTransition' => [ 'base' => 'An array element of SecondaryStatusTransitions for DescribeTrainingJob. It provides additional details about a status that the training job has transitioned through. A training job can be in one of several states, for example, starting, downloading, training, or uploading. Within each state, there are a number of intermediate states. For example, within the starting state, SageMaker could be starting the training job or launching the ML instances. These transitional states are referred to as the job\'s secondary status.
A history of all of the secondary statuses that the training job has transitioned through.
', 'TrainingJob$SecondaryStatusTransitions' => 'A history of all of the secondary statuses that the training job has transitioned through.
', ], ], 'SecretArn' => [ 'base' => NULL, 'refs' => [ 'GitConfig$SecretArn' => 'The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT and must be in the following format:
{"username": UserName, "password": Password}
The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT and must be in the following format:
{"username": UserName, "password": Password}
The ARN of an Amazon Web Services Secrets Manager secret that stores the credentials from your identity provider, such as the client ID and secret, authorization URL, and token URL.
', ], ], 'SecurityGroupId' => [ 'base' => NULL, 'refs' => [ 'DescribeDomainResponse$SecurityGroupIdForDomainBoundary' => 'The ID of the security group that authorizes traffic between the RSessionGateway apps and the RStudioServerPro app.
The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.
', 'DefaultSpaceSettings$SecurityGroups' => 'The security group IDs for the Amazon VPC that the space uses for communication.
', 'DescribeNotebookInstanceOutput$SecurityGroups' => 'The IDs of the VPC security groups.
', 'UserSettings$SecurityGroups' => 'The security groups for the Amazon Virtual Private Cloud (VPC) that the domain uses for communication.
Optional when the CreateDomain.AppNetworkAccessType parameter is set to PublicInternetOnly.
Required when the CreateDomain.AppNetworkAccessType parameter is set to VpcOnly, unless specified as part of the DefaultUserSettings for the domain.
Amazon SageMaker AI adds a security group to allow NFS traffic from Amazon SageMaker AI Studio. Therefore, the number of security groups that you can specify is one less than the maximum number shown.
SageMaker applies these settings only to private spaces that the user creates in the domain. SageMaker doesn\'t apply these settings to shared spaces.
', ], ], 'Seed' => [ 'base' => NULL, 'refs' => [ 'ShuffleConfig$Seed' => 'Determines the shuffling order in ShuffleConfig value.
A step selected to run in selective execution mode.
', 'refs' => [ 'SelectedStepList$member' => NULL, ], ], 'SelectedStepList' => [ 'base' => NULL, 'refs' => [ 'SelectiveExecutionConfig$SelectedSteps' => 'A list of pipeline steps to run. All step(s) in all path(s) between two selected steps should be included.
', ], ], 'SelectiveExecutionConfig' => [ 'base' => 'The selective execution configuration applied to the pipeline run.
', 'refs' => [ 'DescribePipelineExecutionResponse$SelectiveExecutionConfig' => 'The selective execution configuration applied to the pipeline run.
', 'PipelineExecution$SelectiveExecutionConfig' => 'The selective execution configuration applied to the pipeline run.
', 'StartPipelineExecutionRequest$SelectiveExecutionConfig' => 'The selective execution configuration applied to the pipeline run.
', ], ], 'SelectiveExecutionResult' => [ 'base' => 'The ARN from an execution of the current pipeline.
', 'refs' => [ 'PipelineExecutionStep$SelectiveExecutionResult' => 'The ARN from an execution of the current pipeline from which results are reused for this step.
', ], ], 'SendPipelineExecutionStepFailureRequest' => [ 'base' => NULL, 'refs' => [], ], 'SendPipelineExecutionStepFailureResponse' => [ 'base' => NULL, 'refs' => [], ], 'SendPipelineExecutionStepSuccessRequest' => [ 'base' => NULL, 'refs' => [], ], 'SendPipelineExecutionStepSuccessResponse' => [ 'base' => NULL, 'refs' => [], ], 'ServerlessMaxConcurrency' => [ 'base' => NULL, 'refs' => [ 'ProductionVariantServerlessConfig$MaxConcurrency' => 'The maximum number of concurrent invocations your serverless endpoint can process.
', 'ProductionVariantServerlessUpdateConfig$MaxConcurrency' => 'The updated maximum number of concurrent invocations your serverless endpoint can process.
', ], ], 'ServerlessMemorySizeInMB' => [ 'base' => NULL, 'refs' => [ 'ProductionVariantServerlessConfig$MemorySizeInMB' => 'The memory size of your serverless endpoint. Valid values are in 1 GB increments: 1024 MB, 2048 MB, 3072 MB, 4096 MB, 5120 MB, or 6144 MB.
', ], ], 'ServerlessProvisionedConcurrency' => [ 'base' => NULL, 'refs' => [ 'ProductionVariantServerlessConfig$ProvisionedConcurrency' => 'The amount of provisioned concurrency to allocate for the serverless endpoint. Should be less than or equal to MaxConcurrency.
This field is not supported for serverless endpoint recommendations for Inference Recommender jobs. For more information about creating an Inference Recommender job, see CreateInferenceRecommendationsJobs.
The updated amount of provisioned concurrency to allocate for the serverless endpoint. Should be less than or equal to MaxConcurrency.
The ID of the provisioned product.
', 'ServiceCatalogProvisioningDetails$ProductId' => 'The ID of the product to provision.
', 'ServiceCatalogProvisioningDetails$ProvisioningArtifactId' => 'The ID of the provisioning artifact.
', 'ServiceCatalogProvisioningDetails$PathId' => 'The path identifier of the product. This value is optional if the product has a default path, and required if the product has more than one path.
', 'ServiceCatalogProvisioningUpdateDetails$ProvisioningArtifactId' => 'The ID of the provisioning artifact.
', ], ], 'ServiceCatalogProvisionedProductDetails' => [ 'base' => 'Details of a provisioned service catalog product. For information about service catalog, see What is Amazon Web Services Service Catalog.
', 'refs' => [ 'DescribeProjectOutput$ServiceCatalogProvisionedProductDetails' => 'Information about a provisioned service catalog product.
', 'Project$ServiceCatalogProvisionedProductDetails' => NULL, ], ], 'ServiceCatalogProvisioningDetails' => [ 'base' => 'Details that you specify to provision a service catalog product. For information about service catalog, see What is Amazon Web Services Service Catalog.
', 'refs' => [ 'CreateProjectInput$ServiceCatalogProvisioningDetails' => 'The product ID and provisioning artifact ID to provision a service catalog. The provisioning artifact ID will default to the latest provisioning artifact ID of the product, if you don\'t provide the provisioning artifact ID. For more information, see What is Amazon Web Services Service Catalog.
', 'DescribeProjectOutput$ServiceCatalogProvisioningDetails' => 'Information used to provision a service catalog product. For information, see What is Amazon Web Services Service Catalog.
', 'Project$ServiceCatalogProvisioningDetails' => NULL, ], ], 'ServiceCatalogProvisioningUpdateDetails' => [ 'base' => 'Details that you specify to provision a service catalog product. For information about service catalog, see What is Amazon Web Services Service Catalog.
', 'refs' => [ 'UpdateProjectInput$ServiceCatalogProvisioningUpdateDetails' => 'The product ID and provisioning artifact ID to provision a service catalog. The provisioning artifact ID will default to the latest provisioning artifact ID of the product, if you don\'t provide the provisioning artifact ID. For more information, see What is Amazon Web Services Service Catalog.
', ], ], 'SessionChainingConfig' => [ 'base' => 'Contains information about attribute-based access control (ABAC) for a training job. The session chaining configuration uses Amazon Security Token Service (STS) for your training job to request temporary, limited-privilege credentials to tenants. For more information, see Attribute-based access control (ABAC) for multi-tenancy training.
', 'refs' => [ 'CreateTrainingJobRequest$SessionChainingConfig' => 'Contains information about attribute-based access control (ABAC) for the training job.
', ], ], 'SessionExpirationDurationInSeconds' => [ 'base' => NULL, 'refs' => [ 'CreatePartnerAppPresignedUrlRequest$SessionExpirationDurationInSeconds' => 'Indicates how long the Amazon SageMaker Partner AI App session can be accessed for after logging in.
', 'CreatePresignedDomainUrlRequest$SessionExpirationDurationInSeconds' => 'The session expiration duration in seconds. This value defaults to 43200.
', 'CreatePresignedMlflowTrackingServerUrlRequest$SessionExpirationDurationInSeconds' => 'The duration in seconds that your MLflow UI session is valid.
', 'CreatePresignedNotebookInstanceUrlInput$SessionExpirationDurationInSeconds' => 'The duration of the session, in seconds. The default is 12 hours.
', ], ], 'ShadowModeConfig' => [ 'base' => ' The configuration of ShadowMode inference experiment type, which specifies a production variant to take all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant it also specifies the percentage of requests that Amazon SageMaker replicates.
The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.
The configuration of ShadowMode inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant it also shows the percentage of requests that Amazon SageMaker replicates.
The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.
The name and sampling percentage of a shadow variant.
', 'refs' => [ 'ShadowModelVariantConfigList$member' => NULL, ], ], 'ShadowModelVariantConfigList' => [ 'base' => NULL, 'refs' => [ 'ShadowModeConfig$ShadowModelVariants' => 'List of shadow variant configurations.
', ], ], 'SharingSettings' => [ 'base' => 'Specifies options for sharing Amazon SageMaker AI Studio notebooks. These settings are specified as part of DefaultUserSettings when the CreateDomain API is called, and as part of UserSettings when the CreateUserProfile API is called. When SharingSettings is not specified, notebook sharing isn\'t allowed.
Specifies options for sharing Amazon SageMaker AI Studio notebooks.
', ], ], 'SharingType' => [ 'base' => NULL, 'refs' => [ 'SpaceSharingSettings$SharingType' => 'Specifies the sharing type of the space.
', 'SpaceSharingSettingsSummary$SharingType' => 'Specifies the sharing type of the space.
', ], ], 'ShuffleConfig' => [ 'base' => 'A configuration for a shuffle option for input data in a channel. If you use S3Prefix for S3DataType, the results of the S3 key prefix matches are shuffled. If you use ManifestFile, the order of the S3 object references in the ManifestFile is shuffled. If you use AugmentedManifestFile, the order of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling order is determined using the Seed value.
For Pipe input mode, when ShuffleConfig is specified shuffling is done at the start of every epoch. With large datasets, this ensures that the order of the training data is different for each epoch, and it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType of ShardedByS3Key, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.
A configuration for a shuffle option for input data in a channel. If you use S3Prefix for S3DataType, this shuffles the results of the S3 key prefix matches. If you use ManifestFile, the order of the S3 object references in the ManifestFile is shuffled. If you use AugmentedManifestFile, the order of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling order is determined using the Seed value.
For Pipe input mode, shuffling is done at the start of every epoch. With large datasets this ensures that the order of the training data is different for each epoch, it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType of ShardedByS3Key, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.
The ARN of the application managed by SageMaker AI in IAM Identity Center. This value is only returned for domains created after October 1, 2023.
', ], ], 'SingleSignOnUserIdentifier' => [ 'base' => NULL, 'refs' => [ 'CreateUserProfileRequest$SingleSignOnUserIdentifier' => 'A specifier for the type of value specified in SingleSignOnUserValue. Currently, the only supported value is "UserName". If the Domain\'s AuthMode is IAM Identity Center, this field is required. If the Domain\'s AuthMode is not IAM Identity Center, this field cannot be specified.
', 'DescribeUserProfileResponse$SingleSignOnUserIdentifier' => 'The IAM Identity Center user identifier.
', ], ], 'SkipModelValidation' => [ 'base' => NULL, 'refs' => [ 'CreateModelPackageInput$SkipModelValidation' => 'Indicates if you want to skip model validation.
', 'DescribeModelPackageOutput$SkipModelValidation' => 'Indicates if you want to skip model validation.
', 'ModelPackage$SkipModelValidation' => 'Indicates if you want to skip model validation.
', ], ], 'SnsTopicArn' => [ 'base' => NULL, 'refs' => [ 'AsyncInferenceNotificationConfig$SuccessTopic' => 'Amazon SNS topic to post a notification to when inference completes successfully. If no topic is provided, no notification is sent on success.
', 'AsyncInferenceNotificationConfig$ErrorTopic' => 'Amazon SNS topic to post a notification to when inference fails. If no topic is provided, no notification is sent on failure.
', 'LabelingJobOutputConfig$SnsTopicArn' => 'An Amazon Simple Notification Service (Amazon SNS) output topic ARN. Provide a SnsTopicArn if you want to do real time chaining to another streaming job and receive an Amazon SNS notifications each time a data object is submitted by a worker.
If you provide an SnsTopicArn in OutputConfig, when workers complete labeling tasks, Ground Truth will send labeling task output data to the SNS output topic you specify here.
To learn more, see Receive Output Data from a Streaming Labeling Job.
', 'LabelingJobSnsDataSource$SnsTopicArn' => 'The Amazon SNS input topic Amazon Resource Name (ARN). Specify the ARN of the input topic you will use to send new data objects to a streaming labeling job.
', ], ], 'SortActionsBy' => [ 'base' => NULL, 'refs' => [ 'ListActionsRequest$SortBy' => 'The property used to sort results. The default value is CreationTime.
The property used to sort results. The default value is CreationTime.
The property used to sort results. The default value is CreationTime.
The field to sort results by. The default is CreationTime.
The field to sort results by. The default is CreationTime.
The field to sort results by. The default is CreationTime.
The field to sort results by. The default is CreationTime.
Filter for sorting the list by a given value. For example, sort by name, creation time, or status.
', ], ], 'SortContextsBy' => [ 'base' => NULL, 'refs' => [ 'ListContextsRequest$SortBy' => 'The property used to sort results. The default value is CreationTime.
The property used to sort results. The default value is CreationTime.
The column by which to sort the listed inference experiments.
', ], ], 'SortLineageGroupsBy' => [ 'base' => NULL, 'refs' => [ 'ListLineageGroupsRequest$SortBy' => 'The parameter by which to sort the results. The default is CreationTime.
The sort order. The default value is Descending.
The sort order for the results. The default is Ascending.
The sort order. The default value is Descending.
The sort order for the results. The default is Ascending.
', 'ListArtifactsRequest$SortOrder' => 'The sort order. The default value is Descending.
The sort order. The default value is Descending.
The sort order for results. The default value is Ascending.
The order of the list. By default, listed in Descending order according to by SortBy. To change the list order, you can specify SortOrder to be Ascending.
The sort order for results. The default value is Ascending.
The sort order for results. The default is Ascending.
The order of the list. By default, listed in Descending order according to by SortBy. To change the list order, you can specify SortOrder to be Ascending.
The sort order. The default value is Descending.
Whether to sort the results in Ascending or Descending order. The default is Descending.
What direction to sort in.
', 'ListEdgeDeploymentPlansRequest$SortOrder' => 'The direction of the sorting (ascending or descending).
', 'ListEdgePackagingJobsRequest$SortOrder' => 'What direction to sort by.
', 'ListExperimentsRequest$SortOrder' => 'The sort order. The default value is Descending.
An optional value that specifies whether you want the results sorted in Ascending or Descending order.
Sort hub content versions by ascending or descending order.
', 'ListHubContentsRequest$SortOrder' => 'Sort hubs by ascending or descending order.
', 'ListHubsRequest$SortOrder' => 'Sort hubs by ascending or descending order.
', 'ListHumanTaskUisRequest$SortOrder' => 'An optional value that specifies whether you want the results sorted in Ascending or Descending order.
The sort order for results. The default is Ascending.
The direction of sorting (ascending or descending).
', 'ListInferenceRecommendationsJobsRequest$SortOrder' => 'The sort order for the results.
', 'ListLabelingJobsForWorkteamRequest$SortOrder' => 'The sort order for results. The default is Ascending.
The sort order for results. The default is Ascending.
The sort order for the results. The default is Ascending.
Change the order of the listed tracking servers. By default, tracking servers are listed in Descending order by creation time. To change the list order, you can specify SortOrder to be Ascending.
Whether to sort the results in Ascending or Descending order. The default is Descending.
Whether to sort the results in Ascending or Descending order. The default is Descending.
The sort order for results. The default is Ascending.
The sort order for the results. The default is Ascending.
Whether to sort the results in Ascending or Descending order. The default is Descending.
The sort order, whether Ascending or Descending, of the alert history. The default is Descending.
Whether to sort the results in Ascending or Descending order. The default is Descending.
Whether to sort the results in Ascending or Descending order. The default is Descending.
The sort order for results. The default is Ascending
The field by which to sort results. The default is CreatedTime.
The sort order for results.
', 'ListPipelinesRequest$SortOrder' => 'The sort order for results.
', 'ListProcessingJobsRequest$SortOrder' => 'The sort order for results. The default is Ascending.
The sort order for the results. The default is Ascending.
The sort order. The default value is Descending.
', 'ListTrainingJobsForHyperParameterTuningJobRequest$SortOrder' => 'The sort order for results. The default is Ascending.
The sort order for results. The default is Ascending.
The sort order for results. The default is Descending.
The sort order. The default value is Descending.
The sort order. The default value is Descending.
The sort order for the results. The default is Ascending.
', 'ListWorkforcesRequest$SortOrder' => 'Sort workforces in ascending or descending order.
', 'ListWorkteamsRequest$SortOrder' => 'The sort order for results. The default is Ascending.
The field by which to sort results. The default is CreatedTime.
The field by which to sort results. The default is CreatedTime.
Filter for sorting the list by a given value. For example, sort by name, creation time, or status.
', ], ], 'SortTrackingServerBy' => [ 'base' => NULL, 'refs' => [ 'ListMlflowTrackingServersRequest$SortBy' => 'Filter for trackings servers sorting by name, creation time, or creation status.
', ], ], 'SortTrialComponentsBy' => [ 'base' => NULL, 'refs' => [ 'ListTrialComponentsRequest$SortBy' => 'The property used to sort results. The default value is CreationTime.
The property used to sort results. The default value is CreationTime.
Specifies an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.
', 'refs' => [ 'SourceAlgorithmList$member' => NULL, ], ], 'SourceAlgorithmList' => [ 'base' => NULL, 'refs' => [ 'SourceAlgorithmSpecification$SourceAlgorithms' => 'A list of the algorithms that were used to create a model package.
', ], ], 'SourceAlgorithmSpecification' => [ 'base' => 'A list of algorithms that were used to create a model package.
', 'refs' => [ 'CreateModelPackageInput$SourceAlgorithmSpecification' => 'Details about the algorithm that was used to create the model package.
', 'DescribeModelPackageOutput$SourceAlgorithmSpecification' => 'Details about the algorithm that was used to create the model package.
', 'ModelPackage$SourceAlgorithmSpecification' => 'A list of algorithms that were used to create a model package.
', ], ], 'SourceIpConfig' => [ 'base' => 'A list of IP address ranges (CIDRs). Used to create an allow list of IP addresses for a private workforce. Workers will only be able to log in to their worker portal from an IP address within this range. By default, a workforce isn\'t restricted to specific IP addresses.
', 'refs' => [ 'CreateWorkforceRequest$SourceIpConfig' => NULL, 'UpdateWorkforceRequest$SourceIpConfig' => 'A list of one to ten worker IP address ranges (CIDRs) that can be used to access tasks assigned to this workforce.
Maximum: Ten CIDR values
', 'Workforce$SourceIpConfig' => 'A list of one to ten IP address ranges (CIDRs) to be added to the workforce allow list. By default, a workforce isn\'t restricted to specific IP addresses.
', ], ], 'SourceType' => [ 'base' => NULL, 'refs' => [ 'ExperimentSource$SourceType' => 'The source type.
', 'TrialComponentSource$SourceType' => 'The source job type.
', 'TrialSource$SourceType' => 'The source job type.
', ], ], 'SourceUri' => [ 'base' => NULL, 'refs' => [ 'ActionSource$SourceUri' => 'The URI of the source.
', 'ArtifactSource$SourceUri' => 'The URI of the source.
', 'ContextSource$SourceUri' => 'The URI of the source.
', 'ListActionsRequest$SourceUri' => 'A filter that returns only actions with the specified source URI.
', 'ListArtifactsRequest$SourceUri' => 'A filter that returns only artifacts with the specified source URI.
', 'ListContextsRequest$SourceUri' => 'A filter that returns only contexts with the specified source URI.
', ], ], 'SpaceAppLifecycleManagement' => [ 'base' => 'Settings that are used to configure and manage the lifecycle of Amazon SageMaker Studio applications in a space.
', 'refs' => [ 'SpaceCodeEditorAppSettings$AppLifecycleManagement' => 'Settings that are used to configure and manage the lifecycle of CodeEditor applications in a space.
', 'SpaceJupyterLabAppSettings$AppLifecycleManagement' => 'Settings that are used to configure and manage the lifecycle of JupyterLab applications in a space.
', ], ], 'SpaceArn' => [ 'base' => NULL, 'refs' => [ 'CreateSpaceResponse$SpaceArn' => 'The space\'s Amazon Resource Name (ARN).
', 'DescribeSpaceResponse$SpaceArn' => 'The space\'s Amazon Resource Name (ARN).
', 'UpdateSpaceResponse$SpaceArn' => 'The space\'s Amazon Resource Name (ARN).
', ], ], 'SpaceCodeEditorAppSettings' => [ 'base' => 'The application settings for a Code Editor space.
', 'refs' => [ 'SpaceSettings$CodeEditorAppSettings' => 'The Code Editor application settings.
', ], ], 'SpaceDetails' => [ 'base' => 'The space\'s details.
', 'refs' => [ 'SpaceList$member' => NULL, ], ], 'SpaceEbsVolumeSizeInGb' => [ 'base' => NULL, 'refs' => [ 'DefaultEbsStorageSettings$DefaultEbsVolumeSizeInGb' => 'The default size of the EBS storage volume for a space.
', 'DefaultEbsStorageSettings$MaximumEbsVolumeSizeInGb' => 'The maximum size of the EBS storage volume for a space.
', 'EbsStorageSettings$EbsVolumeSizeInGb' => 'The size of an EBS storage volume for a space.
', ], ], 'SpaceIdleSettings' => [ 'base' => 'Settings related to idle shutdown of Studio applications in a space.
', 'refs' => [ 'SpaceAppLifecycleManagement$IdleSettings' => 'Settings related to idle shutdown of Studio applications.
', ], ], 'SpaceJupyterLabAppSettings' => [ 'base' => 'The settings for the JupyterLab application within a space.
', 'refs' => [ 'SpaceSettings$JupyterLabAppSettings' => 'The settings for the JupyterLab application.
', ], ], 'SpaceList' => [ 'base' => NULL, 'refs' => [ 'ListSpacesResponse$Spaces' => 'The list of spaces.
', ], ], 'SpaceName' => [ 'base' => NULL, 'refs' => [ 'AppDetails$SpaceName' => 'The name of the space.
', 'CreateAppRequest$SpaceName' => 'The name of the space. If this value is not set, then UserProfileName must be set.
The name of the space.
', 'CreateSpaceRequest$SpaceName' => 'The name of the space.
', 'DeleteAppRequest$SpaceName' => 'The name of the space. If this value is not set, then UserProfileName must be set.
The name of the space.
', 'DescribeAppRequest$SpaceName' => 'The name of the space.
', 'DescribeAppResponse$SpaceName' => 'The name of the space. If this value is not set, then UserProfileName must be set.
The name of the space.
', 'DescribeSpaceResponse$SpaceName' => 'The name of the space.
', 'ListAppsRequest$SpaceNameEquals' => 'A parameter to search by space name. If UserProfileNameEquals is set, then this value cannot be set.
A parameter by which to filter the results.
', 'SpaceDetails$SpaceName' => 'The name of the space.
', 'UpdateSpaceRequest$SpaceName' => 'The name of the space.
', ], ], 'SpaceSettings' => [ 'base' => 'A collection of space settings.
', 'refs' => [ 'CreateSpaceRequest$SpaceSettings' => 'A collection of space settings.
', 'DescribeSpaceResponse$SpaceSettings' => 'A collection of space settings.
', 'UpdateSpaceRequest$SpaceSettings' => 'A collection of space settings.
', ], ], 'SpaceSettingsSummary' => [ 'base' => 'Specifies summary information about the space settings.
', 'refs' => [ 'SpaceDetails$SpaceSettingsSummary' => 'Specifies summary information about the space settings.
', ], ], 'SpaceSharingSettings' => [ 'base' => 'A collection of space sharing settings.
', 'refs' => [ 'CreateSpaceRequest$SpaceSharingSettings' => 'A collection of space sharing settings.
', 'DescribeSpaceResponse$SpaceSharingSettings' => 'The collection of space sharing settings for a space.
', ], ], 'SpaceSharingSettingsSummary' => [ 'base' => 'Specifies summary information about the space sharing settings.
', 'refs' => [ 'SpaceDetails$SpaceSharingSettingsSummary' => 'Specifies summary information about the space sharing settings.
', ], ], 'SpaceSortKey' => [ 'base' => NULL, 'refs' => [ 'ListSpacesRequest$SortBy' => 'The parameter by which to sort the results. The default is CreationTime.
The status.
', 'SpaceDetails$Status' => 'The status.
', ], ], 'SpaceStorageSettings' => [ 'base' => 'The storage settings for a space.
', 'refs' => [ 'SpaceSettings$SpaceStorageSettings' => 'The storage settings for a space.
', 'SpaceSettingsSummary$SpaceStorageSettings' => 'The storage settings for a space.
', ], ], 'SpawnRate' => [ 'base' => NULL, 'refs' => [ 'Phase$SpawnRate' => 'Specified how many new users to spawn in a minute.
', ], ], 'SplitType' => [ 'base' => NULL, 'refs' => [ 'TransformInput$SplitType' => 'The method to use to split the transform job\'s data files into smaller batches. Splitting is necessary when the total size of each object is too large to fit in a single request. You can also use data splitting to improve performance by processing multiple concurrent mini-batches. The default value for SplitType is None, which indicates that input data files are not split, and request payloads contain the entire contents of an input object. Set the value of this parameter to Line to split records on a newline character boundary. SplitType also supports a number of record-oriented binary data formats. Currently, the supported record formats are:
RecordIO
TFRecord
When splitting is enabled, the size of a mini-batch depends on the values of the BatchStrategy and MaxPayloadInMB parameters. When the value of BatchStrategy is MultiRecord, Amazon SageMaker sends the maximum number of records in each request, up to the MaxPayloadInMB limit. If the value of BatchStrategy is SingleRecord, Amazon SageMaker sends individual records in each request.
Some data formats represent a record as a binary payload wrapped with extra padding bytes. When splitting is applied to a binary data format, padding is removed if the value of BatchStrategy is set to SingleRecord. Padding is not removed if the value of BatchStrategy is set to MultiRecord.
For more information about RecordIO, see Create a Dataset Using RecordIO in the MXNet documentation. For more information about TFRecord, see Consuming TFRecord data in the TensorFlow documentation.
Describes the stage related details.
', ], ], 'StageStatus' => [ 'base' => NULL, 'refs' => [ 'EdgeDeploymentStatus$StageStatus' => 'The general status of the current stage.
', ], ], 'Stairs' => [ 'base' => 'Defines the stairs traffic pattern for an Inference Recommender load test. This pattern type consists of multiple steps where the number of users increases at each step.
Specify either the stairs or phases traffic pattern.
', 'refs' => [ 'TrafficPattern$Stairs' => 'Defines the stairs traffic pattern.
', ], ], 'StartEdgeDeploymentStageRequest' => [ 'base' => NULL, 'refs' => [], ], 'StartInferenceExperimentRequest' => [ 'base' => NULL, 'refs' => [], ], 'StartInferenceExperimentResponse' => [ 'base' => NULL, 'refs' => [], ], 'StartMlflowTrackingServerRequest' => [ 'base' => NULL, 'refs' => [], ], 'StartMlflowTrackingServerResponse' => [ 'base' => NULL, 'refs' => [], ], 'StartMonitoringScheduleRequest' => [ 'base' => NULL, 'refs' => [], ], 'StartNotebookInstanceInput' => [ 'base' => NULL, 'refs' => [], ], 'StartPipelineExecutionRequest' => [ 'base' => NULL, 'refs' => [], ], 'StartPipelineExecutionResponse' => [ 'base' => NULL, 'refs' => [], ], 'Statistic' => [ 'base' => NULL, 'refs' => [ 'CustomizedMetricSpecification$Statistic' => 'The statistic of the customized metric.
', ], ], 'StatusDetails' => [ 'base' => NULL, 'refs' => [ 'DebugRuleEvaluationStatus$StatusDetails' => 'Details from the rule evaluation.
', 'ProfilerRuleEvaluationStatus$StatusDetails' => 'Details from the rule evaluation.
', ], ], 'StatusMessage' => [ 'base' => NULL, 'refs' => [ 'SecondaryStatusTransition$StatusMessage' => 'A detailed description of the progress within a secondary status.
SageMaker provides secondary statuses and status messages that apply to each of them:
Starting the training job.
Launching requested ML instances.
Insufficient capacity error from EC2 while launching instances, retrying!
Launched instance was unhealthy, replacing it!
Preparing the instances for training.
Training image download completed. Training in progress.
Status messages are subject to change. Therefore, we recommend not including them in code that programmatically initiates actions. For examples, don\'t use status messages in if statements.
To have an overview of your training job\'s progress, view TrainingJobStatus and SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For example, at the start of a training job, you might see the following:
TrainingJobStatus - InProgress
SecondaryStatus - Training
StatusMessage - Downloading the training image
The description of the step.
', ], ], 'StepDisplayName' => [ 'base' => NULL, 'refs' => [ 'PipelineExecutionStep$StepDisplayName' => 'The display name of the step.
', ], ], 'StepName' => [ 'base' => NULL, 'refs' => [ 'PipelineExecutionStep$StepName' => 'The name of the step that is executed.
', ], ], 'StepStatus' => [ 'base' => NULL, 'refs' => [ 'PipelineExecutionStep$StepStatus' => 'The status of the step execution.
', ], ], 'StopAutoMLJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopCompilationJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopEdgeDeploymentStageRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopEdgePackagingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopHyperParameterTuningJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopInferenceExperimentRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopInferenceExperimentResponse' => [ 'base' => NULL, 'refs' => [], ], 'StopInferenceRecommendationsJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopLabelingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopMlflowTrackingServerRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopMlflowTrackingServerResponse' => [ 'base' => NULL, 'refs' => [], ], 'StopMonitoringScheduleRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopNotebookInstanceInput' => [ 'base' => NULL, 'refs' => [], ], 'StopOptimizationJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopPipelineExecutionRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopPipelineExecutionResponse' => [ 'base' => NULL, 'refs' => [], ], 'StopProcessingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopTrainingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StopTransformJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'StoppingCondition' => [ 'base' => 'Specifies a limit to how long a job can run. When the job reaches the time limit, SageMaker ends the job. Use this API to cap costs.
To stop a training job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
The training algorithms provided by SageMaker automatically save the intermediate results of a model training job when possible. This attempt to save artifacts is only a best effort case as model might not be in a state from which it can be saved. For example, if training has just started, the model might not be ready to save. When saved, this intermediate data is a valid model artifact. You can use it to create a model with CreateModel.
The Neural Topic Model (NTM) currently does not support saving intermediate model artifacts. When training NTMs, make sure that the maximum runtime is sufficient for the training job to complete.
Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker AI ends the compilation job. Use this API to cap model training costs.
', 'CreateOptimizationJobRequest$StoppingCondition' => NULL, 'CreateTrainingJobRequest$StoppingCondition' => 'Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker AI ends the compilation job. Use this API to cap model training costs.
', 'DescribeOptimizationJobResponse$StoppingCondition' => NULL, 'DescribeTrainingJobResponse$StoppingCondition' => 'Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
Specifies a limit to how long a model hyperparameter training job can run. It also specifies how long a managed spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.
', 'TrainingJob$StoppingCondition' => 'Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts.
', ], ], 'StorageType' => [ 'base' => NULL, 'refs' => [ 'OnlineStoreConfig$StorageType' => 'Option for different tiers of low latency storage for real-time data retrieval.
Standard: A managed low latency data store for feature groups.
InMemory: A managed data store for feature groups that supports very low latency retrieval.
The ETag associated with S3 URI.
', 'AlgorithmStatusItem$FailureReason' => 'if the overall status is Failed, the reason for the failure.
A message describing the error encountered when deleting a node.
', 'BatchDescribeModelPackageError$ErrorCode' => '', 'BatchDescribeModelPackageError$ErrorResponse' => '', 'BatchTransformInput$FeaturesAttribute' => 'The attributes of the input data that are the input features.
', 'BatchTransformInput$InferenceAttribute' => 'The attribute of the input data that represents the ground truth label.
', 'BatchTransformInput$ProbabilityAttribute' => 'In a classification problem, the attribute that represents the class probability.
', 'ClusterInstanceStatusDetails$Message' => 'The message from an instance in a SageMaker HyperPod cluster.
', 'ClusterNodeDetails$InstanceId' => 'The ID of the instance.
', 'ClusterNodeSummary$InstanceId' => 'The ID of the instance.
', 'CreateModelPackageInput$Domain' => 'The machine learning domain of your model package and its components. Common machine learning domains include computer vision and natural language processing.
', 'CreateModelPackageInput$Task' => 'The machine learning task your model package accomplishes. Common machine learning tasks include object detection and image classification. The following tasks are supported by Inference Recommender: "IMAGE_CLASSIFICATION" | "OBJECT_DETECTION" | "TEXT_GENERATION" |"IMAGE_SEGMENTATION" | "FILL_MASK" | "CLASSIFICATION" | "REGRESSION" | "OTHER".
Specify "OTHER" if none of the tasks listed fit your use case.
', 'CustomizedMetricSpecification$MetricName' => 'The name of the customized metric.
', 'CustomizedMetricSpecification$Namespace' => 'The namespace of the customized metric.
', 'DescribeClusterResponse$FailureMessage' => 'The failure message of the SageMaker HyperPod cluster.
', 'DescribeEdgePackagingJobResponse$EdgePackagingJobStatusMessage' => 'Returns a message describing the job status and error messages.
', 'DescribeEdgePackagingJobResponse$ModelSignature' => 'The signature document of files in the model artifact.
', 'DescribeModelPackageOutput$Domain' => 'The machine learning domain of the model package you specified. Common machine learning domains include computer vision and natural language processing.
', 'DescribeModelPackageOutput$Task' => 'The machine learning task you specified that your model package accomplishes. Common machine learning tasks include object detection and image classification.
', 'DescribeModelPackageOutput$SamplePayloadUrl' => 'The Amazon Simple Storage Service (Amazon S3) path where the sample payload are stored. This path points to a single gzip compressed tar archive (.tar.gz suffix).
', 'DeviceDeploymentSummary$DeviceDeploymentStatusMessage' => 'The detailed error message for the deployoment status result.
', 'EdgeDeploymentStatus$EdgeDeploymentStatusMessage' => 'A detailed message about deployment status in current stage.
', 'EdgeOutputConfig$PresetDeploymentConfig' => 'The configuration used to create deployment artifacts. Specify configuration options with a JSON string. The available configuration options for each type are:
ComponentName (optional) - Name of the GreenGrass V2 component. If not specified, the default name generated consists of "SagemakerEdgeManager" and the name of your SageMaker Edge Manager packaging job.
ComponentDescription (optional) - Description of the component.
ComponentVersion (optional) - The version of the component.
Amazon Web Services IoT Greengrass uses semantic versions for components. Semantic versions follow a major.minor.patch number system. For example, version 1.0.0 represents the first major release for a component. For more information, see the semantic version specification.
PlatformOS (optional) - The name of the operating system for the platform. Supported platforms include Windows and Linux.
PlatformArchitecture (optional) - The processor architecture for the platform.
Supported architectures Windows include: Windows32_x86, Windows64_x64.
Supported architectures for Linux include: Linux x86_64, Linux ARMV8.
Returns a message describing the status of the deployed resource.
', 'EndpointInput$FeaturesAttribute' => 'The attributes of the input data that are the input features.
', 'EndpointInput$InferenceAttribute' => 'The attribute of the input data that represents the ground truth label.
', 'EndpointInput$ProbabilityAttribute' => 'In a classification problem, the attribute that represents the class probability.
', 'EndpointOutputConfiguration$EndpointName' => 'The name of the endpoint made during a recommendation job.
', 'EndpointOutputConfiguration$VariantName' => 'The name of the production variant (deployed model) made during a recommendation job.
', 'EnvironmentParameter$Key' => 'The environment key suggested by the Amazon SageMaker Inference Recommender.
', 'EnvironmentParameter$ValueType' => 'The value type suggested by the Amazon SageMaker Inference Recommender.
', 'EnvironmentParameter$Value' => 'The value suggested by the Amazon SageMaker Inference Recommender.
', 'GetScalingConfigurationRecommendationRequest$RecommendationId' => 'The recommendation ID of a previously completed inference recommendation. This ID should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.
Specify either this field or the EndpointName field.
The recommendation ID of a previously completed inference recommendation.
', 'IamIdentity$Arn' => 'The Amazon Resource Name (ARN) of the IAM identity.
', 'IamIdentity$PrincipalId' => 'The ID of the principal that assumes the IAM identity.
', 'IamIdentity$SourceIdentity' => 'The person or application which assumes the IAM identity.
', 'InferenceRecommendation$RecommendationId' => 'The recommendation ID which uniquely identifies each recommendation.
', 'ListProcessingJobsRequest$NameContains' => 'A string in the processing job name. This filter returns only processing jobs whose name contains the specified string.
', 'ModelCard$ModelId' => 'The unique name (ID) of the model.
', 'ModelCard$RiskRating' => 'The risk rating of the model. Different organizations might have different criteria for model card risk ratings. For more information, see Risk ratings.
', 'ModelCard$ModelPackageGroupName' => 'The model package group that contains the model package. Only relevant for model cards created for model packages in the Amazon SageMaker Model Registry.
', 'ModelDashboardModelCard$ModelId' => 'For models created in SageMaker, this is the model ARN. For models created outside of SageMaker, this is a user-customized string.
', 'ModelDashboardModelCard$RiskRating' => 'A model card\'s risk rating. Can be low, medium, or high.
', 'ModelMetadataSummary$Domain' => 'The machine learning domain of the model.
', 'ModelMetadataSummary$Framework' => 'The machine learning framework of the model.
', 'ModelMetadataSummary$Task' => 'The machine learning task of the model.
', 'ModelMetadataSummary$Model' => 'The name of the model.
', 'ModelMetadataSummary$FrameworkVersion' => 'The framework version of the model.
', 'ModelPackage$Domain' => 'The machine learning domain of your model package and its components. Common machine learning domains include computer vision and natural language processing.
', 'ModelPackage$Task' => 'The machine learning task your model package accomplishes. Common machine learning tasks include object detection and image classification.
', 'ModelPackage$SamplePayloadUrl' => 'The Amazon Simple Storage Service path where the sample payload are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
', 'ModelPackageContainerDefinition$Framework' => 'The machine learning framework of the model package container image.
', 'ModelPackageContainerDefinition$NearestModelName' => 'The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model. You can find a list of benchmarked models by calling ListModelMetadata.
The ETag associated with Model Data URL.
', 'ModelPackageStatusItem$FailureReason' => 'if the overall status is Failed, the reason for the failure.
The metric type. You can only apply SageMaker metric types to SageMaker endpoints.
', 'ProcessingInput$InputName' => 'The name for the processing job input.
', 'ProcessingOutput$OutputName' => 'The name for the processing job output.
', 'ProductListings$member' => NULL, 'RStudioServerProDomainSettings$RStudioConnectUrl' => 'A URL pointing to an RStudio Connect server.
', 'RStudioServerProDomainSettings$RStudioPackageManagerUrl' => 'A URL pointing to an RStudio Package Manager server.
', 'RStudioServerProDomainSettingsForUpdate$RStudioConnectUrl' => 'A URL pointing to an RStudio Connect server.
', 'RStudioServerProDomainSettingsForUpdate$RStudioPackageManagerUrl' => 'A URL pointing to an RStudio Package Manager server.
', 'RealTimeInferenceRecommendation$RecommendationId' => 'The recommendation ID which uniquely identifies each recommendation.
', 'RecommendationJobContainerConfig$Domain' => 'The machine learning domain of the model and its components.
Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING
The machine learning task that the model accomplishes.
Valid Values: IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER
The machine learning framework of the container image.
Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN
The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.
Valid Values: efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet
A Liquid template that renders the HTML for the worker UI.
', 'RenderingError$Code' => 'A unique identifier for a specific class of errors.
', 'RenderingError$Message' => 'A human-readable message describing the error.
', 'S3ModelDataSource$ETag' => 'The ETag associated with S3 URI.
', 'S3ModelDataSource$ManifestEtag' => 'The ETag associated with Manifest S3 URI.
', 'ScheduleConfig$DataAnalysisStartTime' => 'Sets the start time for a monitoring job window. Express this time as an offset to the times that you schedule your monitoring jobs to run. You schedule monitoring jobs with the ScheduleExpression parameter. Specify this offset in ISO 8601 duration format. For example, if you want to monitor the five hours of data in your dataset that precede the start of each monitoring job, you would specify: "-PT5H".
The start time that you specify must not precede the end time that you specify by more than 24 hours. You specify the end time with the DataAnalysisEndTime parameter.
If you set ScheduleExpression to NOW, this parameter is required.
Sets the end time for a monitoring job window. Express this time as an offset to the times that you schedule your monitoring jobs to run. You schedule monitoring jobs with the ScheduleExpression parameter. Specify this offset in ISO 8601 duration format. For example, if you want to end the window one hour before the start of each monitoring job, you would specify: "-PT1H".
The end time that you specify must not follow the start time that you specify by more than 24 hours. You specify the start time with the DataAnalysisStartTime parameter.
If you set ScheduleExpression to NOW, this parameter is required.
The ETag associated with Model Data URL.
', 'SubscribedWorkteam$SellerName' => 'The name of the vendor in the Amazon Marketplace.
', 'SubscribedWorkteam$ListingId' => 'Marketplace product listing ID.
', 'UserContext$UserProfileArn' => 'The Amazon Resource Name (ARN) of the user\'s profile.
', 'UserContext$UserProfileName' => 'The name of the user\'s profile.
', 'UserContext$DomainId' => 'The domain associated with the user.
', 'Workforce$SubDomain' => 'The subdomain for your OIDC Identity Provider.
', 'Workteam$SubDomain' => 'The URI of the labeling job\'s user interface. Workers open this URI to start labeling your data objects.
', ], ], 'String1024' => [ 'base' => NULL, 'refs' => [ 'ClarifyCheckStepMetadata$BaselineUsedForDriftCheckConstraints' => 'The Amazon S3 URI of baseline constraints file to be used for the drift check.
', 'ClarifyCheckStepMetadata$CalculatedBaselineConstraints' => 'The Amazon S3 URI of the newly calculated baseline constraints file.
', 'ClarifyCheckStepMetadata$ViolationReport' => 'The Amazon S3 URI of the violation report if violations are detected.
', 'CreateDomainResponse$Url' => 'The URL to the created domain.
', 'DescribeDomainResponse$Url' => 'The domain\'s URL.
', 'DescribeSpaceResponse$Url' => 'Returns the URL of the space. If the space is created with Amazon Web Services IAM Identity Center (Successor to Amazon Web Services Single Sign-On) authentication, users can navigate to the URL after appending the respective redirect parameter for the application type to be federated through Amazon Web Services IAM Identity Center.
The following application types are supported:
Studio Classic: &redirect=JupyterServer
JupyterLab: &redirect=JupyterLab
Code Editor, based on Code-OSS, Visual Studio Code - Open Source: &redirect=CodeEditor
The domain\'s URL.
', 'EMRStepMetadata$LogFilePath' => 'The path to the log file where the cluster step\'s failure root cause is recorded.
', 'OutputParameter$Value' => 'The value of the output parameter.
', 'Parameter$Value' => 'The literal value for the parameter.
', 'PartnerAppArguments$value' => NULL, 'QualityCheckStepMetadata$BaselineUsedForDriftCheckStatistics' => 'The Amazon S3 URI of the baseline statistics file used for the drift check.
', 'QualityCheckStepMetadata$BaselineUsedForDriftCheckConstraints' => 'The Amazon S3 URI of the baseline constraints file used for the drift check.
', 'QualityCheckStepMetadata$CalculatedBaselineStatistics' => 'The Amazon S3 URI of the newly calculated baseline statistics file.
', 'QualityCheckStepMetadata$CalculatedBaselineConstraints' => 'The Amazon S3 URI of the newly calculated baseline constraints file.
', 'QualityCheckStepMetadata$ViolationReport' => 'The Amazon S3 URI of violation report if violations are detected.
', ], ], 'String128' => [ 'base' => NULL, 'refs' => [ 'CategoricalParameterRangeValues$member' => NULL, ], ], 'String200' => [ 'base' => NULL, 'refs' => [ 'CreateWorkteamRequest$Description' => 'A description of the work team.
', 'SubscribedWorkteam$MarketplaceTitle' => 'The title of the service provided by the vendor in the Amazon Marketplace.
', 'SubscribedWorkteam$MarketplaceDescription' => 'The description of the vendor from the Amazon Marketplace.
', 'UpdateWorkteamRequest$Description' => 'An updated description for the work team.
', 'Workteam$Description' => 'A description of the work team.
', ], ], 'String2048' => [ 'base' => NULL, 'refs' => [ 'CreatePartnerAppPresignedUrlResponse$Url' => 'The presigned URL that you can use to access the SageMaker Partner AI App.
', 'DescribePartnerAppResponse$BaseUrl' => 'The URL of the SageMaker Partner AI App that the Application SDK uses to support in-app calls for the user.
', ], ], 'String256' => [ 'base' => NULL, 'refs' => [ 'ActionSource$SourceType' => 'The type of the source.
', 'ActionSource$SourceId' => 'The ID of the source.
', 'ArtifactSourceType$Value' => 'The ID.
', 'ArtifactSummary$ArtifactType' => 'The type of the artifact.
', 'AssociationSummary$SourceType' => 'The source type.
', 'AssociationSummary$DestinationType' => 'The destination type.
', 'CallbackStepMetadata$SqsQueueUrl' => 'The URL of the Amazon Simple Queue Service (Amazon SQS) queue used by the callback step.
', 'ClarifyCheckStepMetadata$CheckType' => 'The type of the Clarify Check step
', 'ClarifyCheckStepMetadata$ModelPackageGroupName' => 'The model package group name.
', 'ClarifyCheckStepMetadata$CheckJobArn' => 'The Amazon Resource Name (ARN) of the check processing job that was run by this step\'s execution.
', 'ContextSource$SourceType' => 'The type of the source.
', 'ContextSource$SourceId' => 'The ID of the source.
', 'ContextSummary$ContextType' => 'The type of the context.
', 'CreateActionRequest$ActionType' => 'The action type.
', 'CreateArtifactRequest$ArtifactType' => 'The artifact type.
', 'CreateContextRequest$ContextType' => 'The context type.
', 'CreateUserProfileRequest$SingleSignOnUserValue' => 'The username of the associated Amazon Web Services Single Sign-On User for this UserProfile. If the Domain\'s AuthMode is IAM Identity Center, this field is required, and must match a valid username of a user in your directory. If the Domain\'s AuthMode is not IAM Identity Center, this field cannot be specified.
', 'CustomImageContainerEnvironmentVariables$value' => NULL, 'DescribeActionResponse$ActionType' => 'The type of the action.
', 'DescribeArtifactResponse$ArtifactType' => 'The type of the artifact.
', 'DescribeContextResponse$ContextType' => 'The type of the context.
', 'DescribeDomainResponse$SingleSignOnManagedApplicationInstanceId' => 'The IAM Identity Center managed application instance ID.
', 'DescribeTrainingPlanResponse$UpfrontFee' => 'The upfront fee for the training plan.
', 'DescribeUserProfileResponse$SingleSignOnUserValue' => 'The IAM Identity Center user value.
', 'EMRStepMetadata$ClusterId' => 'The identifier of the EMR cluster.
', 'EMRStepMetadata$StepId' => 'The identifier of the EMR cluster step.
', 'EMRStepMetadata$StepName' => 'The name of the EMR cluster step.
', 'LambdaStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution.
', 'ListActionsRequest$ActionType' => 'A filter that returns only actions of the specified type.
', 'ListArtifactsRequest$ArtifactType' => 'A filter that returns only artifacts of the specified type.
', 'ListAssociationsRequest$SourceType' => 'A filter that returns only associations with the specified source type.
', 'ListAssociationsRequest$DestinationType' => 'A filter that returns only associations with the specified destination type.
', 'ListContextsRequest$ContextType' => 'A filter that returns only contexts of the specified type.
', 'ListTrialComponentsRequest$SourceArn' => 'A filter that returns only components that have the specified source Amazon Resource Name (ARN). If you specify SourceArn, you can\'t filter by ExperimentName or TrialName.
The value to filter the model metadata.
', 'ModelStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the created model.
', 'OptimizationJobEnvironmentVariables$value' => NULL, 'OutputParameter$Name' => 'The name of the output parameter.
', 'QualityCheckStepMetadata$CheckType' => 'The type of the Quality check step.
', 'QualityCheckStepMetadata$ModelPackageGroupName' => 'The model package group name.
', 'QualityCheckStepMetadata$CheckJobArn' => 'The Amazon Resource Name (ARN) of the Quality check processing job that was run by this step execution.
', 'QueryProperties$key' => NULL, 'QueryProperties$value' => NULL, 'RegisterModelStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the model package.
', 'SelectedStep$StepName' => 'The name of the pipeline step.
', 'SendPipelineExecutionStepFailureRequest$FailureReason' => 'A message describing why the step failed.
', 'TrainingPlanOffering$UpfrontFee' => 'The upfront fee for this training plan offering.
', 'TrainingPlanSummary$UpfrontFee' => 'The upfront fee for the training plan.
', ], ], 'String3072' => [ 'base' => NULL, 'refs' => [ 'FailStepMetadata$ErrorMessage' => 'A message that you define and then is processed and rendered by the Fail step when the error occurs.
', 'PipelineExecutionSummary$PipelineExecutionFailureReason' => 'A message generated by SageMaker Pipelines describing why the pipeline execution failed.
', ], ], 'String40' => [ 'base' => NULL, 'refs' => [ 'QueryTypes$member' => NULL, 'Vertex$Type' => 'The type of the lineage entity resource. For example: DataSet, Model, Endpoint, etc...
The type of the action.
', 'CategoricalParameter$Name' => 'The Name of the environment variable.
', 'ModelLatencyThreshold$Percentile' => 'The model latency percentile threshold. Acceptable values are P95 and P99. For custom load tests, specify the value as P95.
The value to filter by for the specified field.
', ], ], 'String8192' => [ 'base' => NULL, 'refs' => [ 'QueryLineageRequest$NextToken' => 'Limits the number of vertices in the request. Use the NextToken in a response to to retrieve the next page of results.
Limits the number of vertices in the response. Use the NextToken in a response to to retrieve the next page of results.
The string value of a categorical hyperparameter. If you specify a value for this parameter, you can\'t specify the NumberValue parameter.
The App type that the Lifecycle Configuration is attached to.
', 'DescribeStudioLifecycleConfigResponse$StudioLifecycleConfigAppType' => 'The App type that the Lifecycle Configuration is attached to.
', 'ListStudioLifecycleConfigsRequest$AppTypeEquals' => 'A parameter to search for the App Type to which the Lifecycle Configuration is attached.
', 'StudioLifecycleConfigDetails$StudioLifecycleConfigAppType' => 'The App type to which the Lifecycle Configuration is attached.
', ], ], 'StudioLifecycleConfigArn' => [ 'base' => NULL, 'refs' => [ 'CodeEditorAppSettings$BuiltInLifecycleConfigArn' => 'The lifecycle configuration that runs before the default lifecycle configuration. It can override changes made in the default lifecycle configuration.
', 'CreateStudioLifecycleConfigResponse$StudioLifecycleConfigArn' => 'The ARN of your created Lifecycle Configuration.
', 'DescribeAppResponse$BuiltInLifecycleConfigArn' => 'The lifecycle configuration that runs before the default lifecycle configuration
', 'DescribeStudioLifecycleConfigResponse$StudioLifecycleConfigArn' => 'The ARN of the Lifecycle Configuration to describe.
', 'JupyterLabAppSettings$BuiltInLifecycleConfigArn' => 'The lifecycle configuration that runs before the default lifecycle configuration. It can override changes made in the default lifecycle configuration.
', 'LifecycleConfigArns$member' => NULL, 'ResourceSpec$LifecycleConfigArn' => 'The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.
', 'StudioLifecycleConfigDetails$StudioLifecycleConfigArn' => 'The Amazon Resource Name (ARN) of the Lifecycle Configuration.
', ], ], 'StudioLifecycleConfigContent' => [ 'base' => NULL, 'refs' => [ 'CreateStudioLifecycleConfigRequest$StudioLifecycleConfigContent' => 'The content of your Amazon SageMaker AI Studio Lifecycle Configuration script. This content must be base64 encoded.
', 'DescribeStudioLifecycleConfigResponse$StudioLifecycleConfigContent' => 'The content of your Amazon SageMaker AI Studio Lifecycle Configuration script.
', ], ], 'StudioLifecycleConfigDetails' => [ 'base' => 'Details of the Amazon SageMaker AI Studio Lifecycle Configuration.
', 'refs' => [ 'StudioLifecycleConfigsList$member' => NULL, ], ], 'StudioLifecycleConfigName' => [ 'base' => NULL, 'refs' => [ 'CreateStudioLifecycleConfigRequest$StudioLifecycleConfigName' => 'The name of the Amazon SageMaker AI Studio Lifecycle Configuration to create.
', 'DeleteStudioLifecycleConfigRequest$StudioLifecycleConfigName' => 'The name of the Amazon SageMaker AI Studio Lifecycle Configuration to delete.
', 'DescribeStudioLifecycleConfigRequest$StudioLifecycleConfigName' => 'The name of the Amazon SageMaker AI Studio Lifecycle Configuration to describe.
', 'DescribeStudioLifecycleConfigResponse$StudioLifecycleConfigName' => 'The name of the Amazon SageMaker AI Studio Lifecycle Configuration that is described.
', 'ListStudioLifecycleConfigsRequest$NameContains' => 'A string in the Lifecycle Configuration name. This filter returns only Lifecycle Configurations whose name contains the specified string.
', 'StudioLifecycleConfigDetails$StudioLifecycleConfigName' => 'The name of the Amazon SageMaker AI Studio Lifecycle Configuration.
', ], ], 'StudioLifecycleConfigSortKey' => [ 'base' => NULL, 'refs' => [ 'ListStudioLifecycleConfigsRequest$SortBy' => 'The property used to sort results. The default value is CreationTime.
', ], ], 'StudioLifecycleConfigsList' => [ 'base' => NULL, 'refs' => [ 'ListStudioLifecycleConfigsResponse$StudioLifecycleConfigs' => 'A list of Lifecycle Configurations and their properties.
', ], ], 'StudioWebPortal' => [ 'base' => NULL, 'refs' => [ 'UserSettings$StudioWebPortal' => 'Whether the user can access Studio. If this value is set to DISABLED, the user cannot access Studio, even if that is the default experience for the domain.
Studio settings. If these settings are applied on a user level, they take priority over the settings applied on a domain level.
', 'refs' => [ 'UserSettings$StudioWebPortalSettings' => 'Studio settings. If these settings are applied on a user level, they take priority over the settings applied on a domain level.
', ], ], 'SubnetId' => [ 'base' => NULL, 'refs' => [ 'CreateNotebookInstanceInput$SubnetId' => 'The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.
', 'DescribeNotebookInstanceOutput$SubnetId' => 'The ID of the VPC subnet.
', 'Subnets$member' => NULL, ], ], 'Subnets' => [ 'base' => NULL, 'refs' => [ 'CreateDomainRequest$SubnetIds' => 'The VPC subnets that the domain uses for communication.
', 'DescribeDomainResponse$SubnetIds' => 'The VPC subnets that the domain uses for communication.
', 'UpdateDomainRequest$SubnetIds' => 'The VPC subnets that Studio uses for communication.
If removing subnets, ensure there are no apps in the InService, Pending, or Deleting state.
The ID of the subnets in the VPC to which you want to connect your training job or model. For information about the availability of specific instance types, see Supported Instance Types and Availability Zones.
', ], ], 'SubscribedWorkteam' => [ 'base' => 'Describes a work team of a vendor that does the labelling job.
', 'refs' => [ 'DescribeSubscribedWorkteamResponse$SubscribedWorkteam' => 'A Workteam instance that contains information about the work team.
An array of Workteam objects, each describing a work team.
Returns true if the work team was successfully deleted; otherwise, returns false.
Specified in the GetSearchSuggestions request. Limits the property names that are included in the response.
', 'refs' => [ 'GetSearchSuggestionsRequest$SuggestionQuery' => 'Limits the property names that are included in the response.
', ], ], 'TableFormat' => [ 'base' => NULL, 'refs' => [ 'OfflineStoreConfig$TableFormat' => 'Format for the offline store table. Supported formats are Glue (Default) and Apache Iceberg.
', ], ], 'TableName' => [ 'base' => NULL, 'refs' => [ 'DataCatalogConfig$TableName' => 'The name of the Glue table.
', ], ], 'TabularJobConfig' => [ 'base' => 'The collection of settings used by an AutoML job V2 for the tabular problem type.
', 'refs' => [ 'AutoMLProblemTypeConfig$TabularJobConfig' => 'Settings used to configure an AutoML job V2 for the tabular problem type (regression, classification).
', ], ], 'TabularResolvedAttributes' => [ 'base' => 'The resolved attributes specific to the tabular problem type.
', 'refs' => [ 'AutoMLProblemTypeResolvedAttributes$TabularResolvedAttributes' => 'The resolved attributes for the tabular problem type.
', ], ], 'Tag' => [ 'base' => 'A tag object that consists of a key and an optional value, used to manage metadata for SageMaker Amazon Web Services resources.
You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints. For more information on adding tags to SageMaker resources, see AddTags.
For more information on adding metadata to your Amazon Web Services resources with tagging, see Tagging Amazon Web Services resources. For advice on best practices for managing Amazon Web Services resources with tagging, see Tagging Best Practices: Implement an Effective Amazon Web Services Resource Tagging Strategy.
', 'refs' => [ 'TagList$member' => NULL, ], ], 'TagKey' => [ 'base' => NULL, 'refs' => [ 'Tag$Key' => 'The tag key. Tag keys must be unique per resource.
', 'TagKeyList$member' => NULL, ], ], 'TagKeyList' => [ 'base' => NULL, 'refs' => [ 'DeleteTagsInput$TagKeys' => 'An array or one or more tag keys to delete.
', ], ], 'TagList' => [ 'base' => NULL, 'refs' => [ 'AddTagsInput$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'AddTagsOutput$Tags' => 'A list of tags associated with the SageMaker resource.
', 'CreateActionRequest$Tags' => 'A list of tags to apply to the action.
', 'CreateAlgorithmInput$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'CreateAppImageConfigRequest$Tags' => 'A list of tags to apply to the AppImageConfig.
', 'CreateAppRequest$Tags' => 'Each tag consists of a key and an optional value. Tag keys must be unique per resource.
', 'CreateArtifactRequest$Tags' => 'A list of tags to apply to the artifact.
', 'CreateAutoMLJobRequest$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web ServicesResources. Tag keys must be unique per resource.
', 'CreateAutoMLJobV2Request$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, such as by purpose, owner, or environment. For more information, see Tagging Amazon Web ServicesResources. Tag keys must be unique per resource.
', 'CreateClusterRequest$Tags' => 'Custom tags for managing the SageMaker HyperPod cluster as an Amazon Web Services resource. You can add tags to your cluster in the same way you add them in other Amazon Web Services services that support tagging. To learn more about tagging Amazon Web Services resources in general, see Tagging Amazon Web Services Resources User Guide.
', 'CreateClusterSchedulerConfigRequest$Tags' => 'Tags of the cluster policy.
', 'CreateCodeRepositoryInput$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'CreateCompilationJobRequest$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'CreateComputeQuotaRequest$Tags' => 'Tags of the compute allocation definition.
', 'CreateContextRequest$Tags' => 'A list of tags to apply to the context.
', 'CreateDataQualityJobDefinitionRequest$Tags' => '(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'CreateDeviceFleetRequest$Tags' => 'Creates tags for the specified fleet.
', 'CreateDomainRequest$Tags' => 'Tags to associated with the Domain. Each tag consists of a key and an optional value. Tag keys must be unique per resource. Tags are searchable using the Search API.
Tags that you specify for the Domain are also added to all Apps that the Domain launches.
', 'CreateEdgeDeploymentPlanRequest$Tags' => 'List of tags with which to tag the edge deployment plan.
', 'CreateEdgePackagingJobRequest$Tags' => 'Creates tags for the packaging job.
', 'CreateEndpointConfigInput$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'CreateEndpointInput$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'CreateExperimentRequest$Tags' => 'A list of tags to associate with the experiment. You can use Search API to search on the tags.
', 'CreateFeatureGroupRequest$Tags' => 'Tags used to identify Features in each FeatureGroup.
An array of key-value pairs that contain metadata to help you categorize and organize a flow definition. Each tag consists of a key and a value, both of which you define.
', 'CreateHubContentReferenceRequest$Tags' => 'Any tags associated with the hub content to reference.
', 'CreateHubRequest$Tags' => 'Any tags to associate with the hub.
', 'CreateHumanTaskUiRequest$Tags' => 'An array of key-value pairs that contain metadata to help you categorize and organize a human review workflow user interface. Each tag consists of a key and a value, both of which you define.
', 'CreateHyperParameterTuningJobRequest$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
Tags that you specify for the tuning job are also added to all training jobs that the tuning job launches.
', 'CreateImageRequest$Tags' => 'A list of tags to apply to the image.
', 'CreateInferenceComponentInput$Tags' => 'A list of key-value pairs associated with the model. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference.
', 'CreateInferenceExperimentRequest$Tags' => 'Array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging your Amazon Web Services Resources.
', 'CreateInferenceRecommendationsJobRequest$Tags' => 'The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.
', 'CreateLabelingJobRequest$Tags' => 'An array of key/value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'CreateMlflowTrackingServerRequest$Tags' => 'Tags consisting of key-value pairs used to manage metadata for the tracking server.
', 'CreateModelBiasJobDefinitionRequest$Tags' => '(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'CreateModelCardRequest$Tags' => 'Key-value pairs used to manage metadata for model cards.
', 'CreateModelExplainabilityJobDefinitionRequest$Tags' => '(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'CreateModelInput$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'CreateModelPackageGroupInput$Tags' => 'A list of key value pairs associated with the model group. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
', 'CreateModelPackageInput$Tags' => 'A list of key value pairs associated with the model. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
If you supply ModelPackageGroupName, your model package belongs to the model group you specify and uses the tags associated with the model group. In this case, you cannot supply a tag argument.
(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'CreateMonitoringScheduleRequest$Tags' => '(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'CreateNotebookInstanceInput$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'CreateOptimizationJobRequest$Tags' => 'A list of key-value pairs associated with the optimization job. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
', 'CreatePartnerAppRequest$Tags' => 'Each tag consists of a key and an optional value. Tag keys must be unique per resource.
', 'CreatePipelineRequest$Tags' => 'A list of tags to apply to the created pipeline.
', 'CreateProcessingJobRequest$Tags' => '(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'CreateProjectInput$Tags' => 'An array of key-value pairs that you want to use to organize and track your Amazon Web Services resource costs. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
', 'CreateSpaceRequest$Tags' => 'Tags to associated with the space. Each tag consists of a key and an optional value. Tag keys must be unique for each resource. Tags are searchable using the Search API.
Tags to be associated with the Lifecycle Configuration. Each tag consists of a key and an optional value. Tag keys must be unique per resource. Tags are searchable using the Search API.
', 'CreateTrainingJobRequest$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'CreateTrainingPlanRequest$Tags' => 'An array of key-value pairs to apply to this training plan.
', 'CreateTransformJobRequest$Tags' => '(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'CreateTrialComponentRequest$Tags' => 'A list of tags to associate with the component. You can use Search API to search on the tags.
', 'CreateTrialRequest$Tags' => 'A list of tags to associate with the trial. You can use Search API to search on the tags.
', 'CreateUserProfileRequest$Tags' => 'Each tag consists of a key and an optional value. Tag keys must be unique per resource.
Tags that you specify for the User Profile are also added to all Apps that the User Profile launches.
', 'CreateWorkforceRequest$Tags' => 'An array of key-value pairs that contain metadata to help you categorize and organize our workforce. Each tag consists of a key and a value, both of which you define.
', 'CreateWorkteamRequest$Tags' => 'An array of key-value pairs.
For more information, see Resource Tag and Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'DescribeLabelingJobResponse$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'Endpoint$Tags' => 'A list of the tags associated with the endpoint. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
', 'Experiment$Tags' => 'The list of tags that are associated with the experiment. You can use Search API to search on the tags.
', 'FeatureGroup$Tags' => 'Tags used to define a FeatureGroup.
The tags associated with a hyperparameter tuning job. For more information see Tagging Amazon Web Services resources.
', 'ImportHubContentRequest$Tags' => 'Any tags associated with the hub content.
', 'ListTagsOutput$Tags' => 'An array of Tag objects, each with a tag key and a value.
A list of key-value pairs associated with the model. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
', 'ModelCard$Tags' => 'Key-value pairs used to manage metadata for the model card.
', 'ModelDashboardModelCard$Tags' => 'The tags associated with a model card.
', 'ModelPackage$Tags' => 'A list of the tags associated with the model package. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
', 'ModelPackageGroup$Tags' => 'A list of the tags associated with the model group. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
', 'MonitoringSchedule$Tags' => 'A list of the tags associated with the monitoring schedlue. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
', 'Pipeline$Tags' => 'A list of tags that apply to the pipeline.
', 'ProcessingJob$Tags' => 'An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
', 'Project$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'RegisterDevicesRequest$Tags' => 'The tags associated with devices.
', 'TrainingJob$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
', 'TransformJob$Tags' => 'A list of tags associated with the transform job.
', 'Trial$Tags' => 'The list of tags that are associated with the trial. You can use Search API to search on the tags.
', 'TrialComponent$Tags' => 'The list of tags that are associated with the component. You can use Search API to search on the tags.
', 'UpdatePartnerAppRequest$Tags' => 'Each tag consists of a key and an optional value. Tag keys must be unique per resource.
', 'UpdateProjectInput$Tags' => 'An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources. In addition, the project must have tag update constraints set in order to include this parameter in the request. For more information, see Amazon Web Services Service Catalog Tag Update Constraints.
', ], ], 'TagPropagation' => [ 'base' => NULL, 'refs' => [ 'CreateDomainRequest$TagPropagation' => 'Indicates whether custom tag propagation is supported for the domain. Defaults to DISABLED.
Indicates whether custom tag propagation is supported for the domain.
', 'UpdateDomainRequest$TagPropagation' => 'Indicates whether custom tag propagation is supported for the domain. Defaults to DISABLED.
The tag value.
', ], ], 'TargetAttributeName' => [ 'base' => NULL, 'refs' => [ 'AutoMLChannel$TargetAttributeName' => 'The name of the target variable in supervised learning, usually represented by \'y\'.
', 'TabularJobConfig$TargetAttributeName' => 'The name of the target variable in supervised learning, usually represented by \'y\'.
', 'TimeSeriesConfig$TargetAttributeName' => 'The name of the column representing the target variable that you want to predict for each item in your dataset. The data type of the target variable must be numerical.
', ], ], 'TargetDevice' => [ 'base' => NULL, 'refs' => [ 'CompilationJobSummary$CompilationTargetDevice' => 'The type of device that the model will run on after the compilation job has completed.
', 'OutputConfig$TargetDevice' => 'Identifies the target device or the machine learning instance that you want to run your model on after the compilation has completed. Alternatively, you can specify OS, architecture, and accelerator using TargetPlatform fields. It can be used instead of TargetPlatform.
Currently ml_trn1 is available only in US East (N. Virginia) Region, and ml_inf2 is available only in US East (Ohio) Region.
The name of the column used to provide the class labels. It should not be same as the content column.
', ], ], 'TargetObjectiveMetricValue' => [ 'base' => NULL, 'refs' => [ 'TuningJobCompletionCriteria$TargetObjectiveMetricValue' => 'The value of the objective metric.
', ], ], 'TargetPlatform' => [ 'base' => 'Contains information about a target platform that you want your model to run on, such as OS, architecture, and accelerators. It is an alternative of TargetDevice.
Contains information about a target platform that you want your model to run on, such as OS, architecture, and accelerators. It is an alternative of TargetDevice.
The following examples show how to configure the TargetPlatform and CompilerOptions JSON strings for popular target platforms:
Raspberry Pi 3 Model B+
"TargetPlatform": {"Os": "LINUX", "Arch": "ARM_EABIHF"},
"CompilerOptions": {\'mattr\': [\'+neon\']}
Jetson TX2
"TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "NVIDIA"},
"CompilerOptions": {\'gpu-code\': \'sm_62\', \'trt-ver\': \'6.0.1\', \'cuda-ver\': \'10.0\'}
EC2 m5.2xlarge instance OS
"TargetPlatform": {"Os": "LINUX", "Arch": "X86_64", "Accelerator": "NVIDIA"},
"CompilerOptions": {\'mcpu\': \'skylake-avx512\'}
RK3399
"TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "MALI"}
ARMv7 phone (CPU)
"TargetPlatform": {"Os": "ANDROID", "Arch": "ARM_EABI"},
"CompilerOptions": {\'ANDROID_PLATFORM\': 25, \'mattr\': [\'+neon\']}
ARMv8 phone (CPU)
"TargetPlatform": {"Os": "ANDROID", "Arch": "ARM64"},
"CompilerOptions": {\'ANDROID_PLATFORM\': 29}
The type of accelerator that the model will run on after the compilation job has completed.
', 'TargetPlatform$Accelerator' => 'Specifies a target platform accelerator (optional).
NVIDIA: Nvidia graphics processing unit. It also requires gpu-code, trt-ver, cuda-ver compiler options
MALI: ARM Mali graphics processor
INTEL_GRAPHICS: Integrated Intel graphics
The type of architecture that the model will run on after the compilation job has completed.
', 'TargetPlatform$Arch' => 'Specifies a target platform architecture.
X86_64: 64-bit version of the x86 instruction set.
X86: 32-bit version of the x86 instruction set.
ARM64: ARMv8 64-bit CPU.
ARM_EABIHF: ARMv7 32-bit, Hard Float.
ARM_EABI: ARMv7 32-bit, Soft Float. Used by Android 32-bit ARM platform.
The type of OS that the model will run on after the compilation job has completed.
', 'TargetPlatform$Os' => 'Specifies a target platform OS.
LINUX: Linux-based operating systems.
ANDROID: Android operating systems. Android API level can be specified using the ANDROID_PLATFORM compiler option. For example, "CompilerOptions": {\'ANDROID_PLATFORM\': 28}
A target tracking scaling policy. Includes support for predefined or customized metrics.
When using the PutScalingPolicy API, this parameter is required when you are creating a policy with the policy type TargetTrackingScaling.
A target tracking scaling policy. Includes support for predefined or customized metrics.
', ], ], 'TaskAvailabilityLifetimeInSeconds' => [ 'base' => NULL, 'refs' => [ 'HumanTaskConfig$TaskAvailabilityLifetimeInSeconds' => 'The length of time that a task remains available for labeling by human workers. The default and maximum values for this parameter depend on the type of workforce you use.
If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).
If you choose a private or vendor workforce, the default value is 30 days (2592,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.
The variant\'s capacity.
', 'PendingProductionVariantSummary$CurrentInstanceCount' => 'The number of instances associated with the variant.
', 'PendingProductionVariantSummary$DesiredInstanceCount' => 'The number of instances requested in this deployment, as specified in the endpoint configuration for the endpoint. The value is taken from the request to the CreateEndpointConfig operation.
', 'ProductionVariantSummary$CurrentInstanceCount' => 'The number of instances associated with the variant.
', 'ProductionVariantSummary$DesiredInstanceCount' => 'The number of instances requested in the UpdateEndpointWeightsAndCapacities request.
The number of instances of the type specified by InstanceType.
A description of the task for your human workers.
', ], ], 'TaskInput' => [ 'base' => NULL, 'refs' => [ 'RenderableTask$Input' => 'A JSON object that contains values for the variables defined in the template. It is made available to the template under the substitution variable task.input. For example, if you define a variable task.input.text in your template, you can supply the variable in the JSON object as "text": "sample text".
Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
', ], ], 'TaskTimeLimitInSeconds' => [ 'base' => NULL, 'refs' => [ 'HumanTaskConfig$TaskTimeLimitInSeconds' => 'The amount of time that a worker has to complete a task.
If you create a custom labeling job, the maximum value for this parameter is 8 hours (28,800 seconds).
If you create a labeling job using a built-in task type the maximum for this parameter depends on the task type you use:
For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).
For 3D point cloud and video frame labeling jobs, the maximum is 30 days (2952,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.
A title for the task for your human workers.
', ], ], 'TemplateContent' => [ 'base' => NULL, 'refs' => [ 'UiTemplate$Content' => 'The content of the Liquid template for the worker user interface.
', ], ], 'TemplateContentSha256' => [ 'base' => NULL, 'refs' => [ 'UiTemplateInfo$ContentSha256' => 'The SHA-256 digest of the contents of the template.
', ], ], 'TemplateUrl' => [ 'base' => NULL, 'refs' => [ 'UiTemplateInfo$Url' => 'The URL for the user interface template.
', ], ], 'TensorBoardAppSettings' => [ 'base' => 'The TensorBoard app settings.
', 'refs' => [ 'UserSettings$TensorBoardAppSettings' => 'The TensorBoard app settings.
', ], ], 'TensorBoardOutputConfig' => [ 'base' => 'Configuration of storage locations for the Amazon SageMaker Debugger TensorBoard output data.
', 'refs' => [ 'CreateTrainingJobRequest$TensorBoardOutputConfig' => NULL, 'DescribeTrainingJobResponse$TensorBoardOutputConfig' => NULL, 'TrainingJob$TensorBoardOutputConfig' => NULL, ], ], 'TenthFractionsOfACent' => [ 'base' => NULL, 'refs' => [ 'USD$TenthFractionsOfACent' => 'Fractions of a cent, in tenths.
', ], ], 'TerminationWaitInSeconds' => [ 'base' => NULL, 'refs' => [ 'BlueGreenUpdatePolicy$TerminationWaitInSeconds' => 'Additional waiting time in seconds after the completion of an endpoint deployment before terminating the old endpoint fleet. Default is 0.
', ], ], 'TextClassificationJobConfig' => [ 'base' => 'The collection of settings used by an AutoML job V2 for the text classification problem type.
', 'refs' => [ 'AutoMLProblemTypeConfig$TextClassificationJobConfig' => 'Settings used to configure an AutoML job V2 for the text classification problem type.
', ], ], 'TextGenerationHyperParameterKey' => [ 'base' => NULL, 'refs' => [ 'TextGenerationHyperParameters$key' => NULL, ], ], 'TextGenerationHyperParameterValue' => [ 'base' => NULL, 'refs' => [ 'TextGenerationHyperParameters$value' => NULL, ], ], 'TextGenerationHyperParameters' => [ 'base' => NULL, 'refs' => [ 'TextGenerationJobConfig$TextGenerationHyperParameters' => 'The hyperparameters used to configure and optimize the learning process of the base model. You can set any combination of the following hyperparameters for all base models. For more information on each supported hyperparameter, see Optimize the learning process of your text generation models with hyperparameters.
"epochCount": The number of times the model goes through the entire training dataset. Its value should be a string containing an integer value within the range of "1" to "10".
"batchSize": The number of data samples used in each iteration of training. Its value should be a string containing an integer value within the range of "1" to "64".
"learningRate": The step size at which a model\'s parameters are updated during training. Its value should be a string containing a floating-point value within the range of "0" to "1".
"learningRateWarmupSteps": The number of training steps during which the learning rate gradually increases before reaching its target or maximum value. Its value should be a string containing an integer value within the range of "0" to "250".
Here is an example where all four hyperparameters are configured.
{ "epochCount":"5", "learningRate":"0.5", "batchSize": "32", "learningRateWarmupSteps": "10" }
The collection of settings used by an AutoML job V2 for the text generation problem type.
The text generation models that support fine-tuning in Autopilot are currently accessible exclusively in regions supported by Canvas. Refer to the documentation of Canvas for the full list of its supported Regions.
Settings used to configure an AutoML job V2 for the text generation (LLMs fine-tuning) problem type.
The text generation models that support fine-tuning in Autopilot are currently accessible exclusively in regions supported by Canvas. Refer to the documentation of Canvas for the full list of its supported Regions.
The resolved attributes specific to the text generation problem type.
', 'refs' => [ 'AutoMLProblemTypeResolvedAttributes$TextGenerationResolvedAttributes' => 'The resolved attributes for the text generation problem type.
', ], ], 'ThingName' => [ 'base' => NULL, 'refs' => [ 'DescribeDeviceResponse$IotThingName' => 'The Amazon Web Services Internet of Things (IoT) object thing name associated with the device.
', 'Device$IotThingName' => 'Amazon Web Services Internet of Things (IoT) object name.
', 'DeviceSummary$IotThingName' => 'The Amazon Web Services Internet of Things (IoT) object thing name associated with the device..
', ], ], 'ThroughputConfig' => [ 'base' => 'Used to set feature group throughput configuration. There are two modes: ON_DEMAND and PROVISIONED. With on-demand mode, you are charged for data reads and writes that your application performs on your feature group. You do not need to specify read and write throughput because Feature Store accommodates your workloads as they ramp up and down. You can switch a feature group to on-demand only once in a 24 hour period. With provisioned throughput mode, you specify the read and write capacity per second that you expect your application to require, and you are billed based on those limits. Exceeding provisioned throughput will result in your requests being throttled.
Note: PROVISIONED throughput mode is supported only for feature groups that are offline-only, or use the Standard tier online store.
Active throughput configuration of the feature group. There are two modes: ON_DEMAND and PROVISIONED. With on-demand mode, you are charged for data reads and writes that your application performs on your feature group. You do not need to specify read and write throughput because Feature Store accommodates your workloads as they ramp up and down. You can switch a feature group to on-demand only once in a 24 hour period. With provisioned throughput mode, you specify the read and write capacity per second that you expect your application to require, and you are billed based on those limits. Exceeding provisioned throughput will result in your requests being throttled.
Note: PROVISIONED throughput mode is supported only for feature groups that are offline-only, or use the Standard tier online store.
The new throughput configuration for the feature group. You can switch between on-demand and provisioned modes or update the read / write capacity of provisioned feature groups. You can switch a feature group to on-demand only once in a 24 hour period.
', 'refs' => [ 'UpdateFeatureGroupRequest$ThroughputConfig' => NULL, ], ], 'ThroughputMode' => [ 'base' => NULL, 'refs' => [ 'ThroughputConfig$ThroughputMode' => 'The mode used for your feature group throughput: ON_DEMAND or PROVISIONED.
The mode used for your feature group throughput: ON_DEMAND or PROVISIONED.
Target throughput mode of the feature group. Throughput update is an asynchronous operation, and the outcome should be monitored by polling LastUpdateStatus field in DescribeFeatureGroup response. You cannot update a feature group\'s throughput while another update is in progress.
The collection of components that defines the time-series.
', 'refs' => [ 'TimeSeriesForecastingJobConfig$TimeSeriesConfig' => 'The collection of components that defines the time-series.
', ], ], 'TimeSeriesForecastingJobConfig' => [ 'base' => 'The collection of settings used by an AutoML job V2 for the time-series forecasting problem type.
', 'refs' => [ 'AutoMLProblemTypeConfig$TimeSeriesForecastingJobConfig' => 'Settings used to configure an AutoML job V2 for the time-series forecasting problem type.
', ], ], 'TimeSeriesForecastingSettings' => [ 'base' => 'Time series forecast settings for the SageMaker Canvas application.
', 'refs' => [ 'CanvasAppSettings$TimeSeriesForecastingSettings' => 'Time series forecast settings for the SageMaker Canvas application.
', ], ], 'TimeSeriesTransformations' => [ 'base' => 'Transformations allowed on the dataset. Supported transformations are Filling and Aggregation. Filling specifies how to add values to missing values in the dataset. Aggregation defines how to aggregate data that does not align with forecast frequency.
The transformations modifying specific attributes of the time-series, such as filling strategies for missing values.
', ], ], 'Timestamp' => [ 'base' => NULL, 'refs' => [ 'ActionSummary$CreationTime' => 'When the action was created.
', 'ActionSummary$LastModifiedTime' => 'When the action was last modified.
', 'AppImageConfigDetails$CreationTime' => 'When the AppImageConfig was created.
', 'AppImageConfigDetails$LastModifiedTime' => 'When the AppImageConfig was last modified.
', 'ArtifactSummary$CreationTime' => 'When the artifact was created.
', 'ArtifactSummary$LastModifiedTime' => 'When the artifact was last modified.
', 'AssociationSummary$CreationTime' => 'When the association was created.
', 'AutoMLCandidate$CreationTime' => 'The creation time.
', 'AutoMLCandidate$EndTime' => 'The end time.
', 'AutoMLCandidate$LastModifiedTime' => 'The last modified time.
', 'AutoMLJobSummary$CreationTime' => 'When the AutoML job was created.
', 'AutoMLJobSummary$EndTime' => 'The end time of an AutoML job.
', 'AutoMLJobSummary$LastModifiedTime' => 'When the AutoML job was last modified.
', 'ClusterNodeDetails$LaunchTime' => 'The time when the instance is launched.
', 'ClusterNodeSummary$LaunchTime' => 'The time when the instance is launched.
', 'ClusterSchedulerConfigSummary$CreationTime' => 'Creation time of the cluster policy.
', 'ClusterSchedulerConfigSummary$LastModifiedTime' => 'Last modified time of the cluster policy.
', 'ClusterSummary$CreationTime' => 'The time when the SageMaker HyperPod cluster is created.
', 'CompilationJobSummary$CompilationStartTime' => 'The time when the model compilation job started.
', 'CompilationJobSummary$CompilationEndTime' => 'The time when the model compilation job completed.
', 'ComputeQuotaSummary$CreationTime' => 'Creation time of the compute allocation definition.
', 'ComputeQuotaSummary$LastModifiedTime' => 'Last modified time of the compute allocation definition.
', 'ContextSummary$CreationTime' => 'When the context was created.
', 'ContextSummary$LastModifiedTime' => 'When the context was last modified.
', 'CreateTrialComponentRequest$StartTime' => 'When the component started.
', 'CreateTrialComponentRequest$EndTime' => 'When the component ended.
', 'DebugRuleEvaluationStatus$LastModifiedTime' => 'Timestamp when the rule evaluation status was last modified.
', 'DeployedImage$ResolutionTime' => 'The date and time when the image path for the model resolved to the ResolvedImage
When the action was created.
', 'DescribeActionResponse$LastModifiedTime' => 'When the action was last modified.
', 'DescribeAppImageConfigResponse$CreationTime' => 'When the AppImageConfig was created.
', 'DescribeAppImageConfigResponse$LastModifiedTime' => 'When the AppImageConfig was last modified.
', 'DescribeAppResponse$LastHealthCheckTimestamp' => 'The timestamp of the last health check.
', 'DescribeAppResponse$LastUserActivityTimestamp' => 'The timestamp of the last user\'s activity. LastUserActivityTimestamp is also updated when SageMaker AI performs health checks without user activity. As a result, this value is set to the same value as LastHealthCheckTimestamp.
The creation time of the application.
After an application has been shut down for 24 hours, SageMaker AI deletes all metadata for the application. To be considered an update and retain application metadata, applications must be restarted within 24 hours after the previous application has been shut down. After this time window, creation of an application is considered a new application rather than an update of the previous application.
When the artifact was created.
', 'DescribeArtifactResponse$LastModifiedTime' => 'When the artifact was last modified.
', 'DescribeAutoMLJobResponse$CreationTime' => 'Returns the creation time of the AutoML job.
', 'DescribeAutoMLJobResponse$EndTime' => 'Returns the end time of the AutoML job.
', 'DescribeAutoMLJobResponse$LastModifiedTime' => 'Returns the job\'s last modified time.
', 'DescribeAutoMLJobV2Response$CreationTime' => 'Returns the creation time of the AutoML job V2.
', 'DescribeAutoMLJobV2Response$EndTime' => 'Returns the end time of the AutoML job V2.
', 'DescribeAutoMLJobV2Response$LastModifiedTime' => 'Returns the job\'s last modified time.
', 'DescribeClusterResponse$CreationTime' => 'The time when the SageMaker Cluster is created.
', 'DescribeClusterSchedulerConfigResponse$CreationTime' => 'Creation time of the cluster policy.
', 'DescribeClusterSchedulerConfigResponse$LastModifiedTime' => 'Last modified time of the cluster policy.
', 'DescribeCompilationJobResponse$CompilationStartTime' => 'The time when the model compilation job started the CompilationJob instances.
You are billed for the time between this timestamp and the timestamp in the CompilationEndTime field. In Amazon CloudWatch Logs, the start time might be later than this time. That\'s because it takes time to download the compilation job, which depends on the size of the compilation job container.
The time when the model compilation job on a compilation job instance ended. For a successful or stopped job, this is when the job\'s model artifacts have finished uploading. For a failed job, this is when Amazon SageMaker AI detected that the job failed.
', 'DescribeComputeQuotaResponse$CreationTime' => 'Creation time of the compute allocation configuration.
', 'DescribeComputeQuotaResponse$LastModifiedTime' => 'Last modified time of the compute allocation configuration.
', 'DescribeContextResponse$CreationTime' => 'When the context was created.
', 'DescribeContextResponse$LastModifiedTime' => 'When the context was last modified.
', 'DescribeDataQualityJobDefinitionResponse$CreationTime' => 'The time that the data quality monitoring job definition was created.
', 'DescribeDeviceFleetResponse$CreationTime' => 'Timestamp of when the device fleet was created.
', 'DescribeDeviceFleetResponse$LastModifiedTime' => 'Timestamp of when the device fleet was last updated.
', 'DescribeDeviceResponse$RegistrationTime' => 'The timestamp of the last registration or de-reregistration.
', 'DescribeDeviceResponse$LatestHeartbeat' => 'The last heartbeat received from the device.
', 'DescribeEdgeDeploymentPlanResponse$CreationTime' => 'The time when the edge deployment plan was created.
', 'DescribeEdgeDeploymentPlanResponse$LastModifiedTime' => 'The time when the edge deployment plan was last updated.
', 'DescribeEdgePackagingJobResponse$CreationTime' => 'The timestamp of when the packaging job was created.
', 'DescribeEdgePackagingJobResponse$LastModifiedTime' => 'The timestamp of when the job was last updated.
', 'DescribeEndpointConfigOutput$CreationTime' => 'A timestamp that shows when the endpoint configuration was created.
', 'DescribeEndpointOutput$CreationTime' => 'A timestamp that shows when the endpoint was created.
', 'DescribeEndpointOutput$LastModifiedTime' => 'A timestamp that shows when the endpoint was last modified.
', 'DescribeExperimentResponse$CreationTime' => 'When the experiment was created.
', 'DescribeExperimentResponse$LastModifiedTime' => 'When the experiment was last modified.
', 'DescribeFlowDefinitionResponse$CreationTime' => 'The timestamp when the flow definition was created.
', 'DescribeHubContentResponse$CreationTime' => 'The date and time that hub content was created.
', 'DescribeHubResponse$CreationTime' => 'The date and time that the hub was created.
', 'DescribeHubResponse$LastModifiedTime' => 'The date and time that the hub was last modified.
', 'DescribeHumanTaskUiResponse$CreationTime' => 'The timestamp when the human task user interface was created.
', 'DescribeHyperParameterTuningJobResponse$CreationTime' => 'The date and time that the tuning job started.
', 'DescribeHyperParameterTuningJobResponse$HyperParameterTuningEndTime' => 'The date and time that the tuning job ended.
', 'DescribeHyperParameterTuningJobResponse$LastModifiedTime' => 'The date and time that the status of the tuning job was modified.
', 'DescribeImageResponse$CreationTime' => 'When the image was created.
', 'DescribeImageResponse$LastModifiedTime' => 'When the image was last modified.
', 'DescribeImageVersionResponse$CreationTime' => 'When the version was created.
', 'DescribeImageVersionResponse$LastModifiedTime' => 'When the version was last modified.
', 'DescribeInferenceComponentOutput$CreationTime' => 'The time when the inference component was created.
', 'DescribeInferenceComponentOutput$LastModifiedTime' => 'The time when the inference component was last updated.
', 'DescribeInferenceExperimentResponse$CreationTime' => 'The timestamp at which you created the inference experiment.
', 'DescribeInferenceExperimentResponse$CompletionTime' => 'The timestamp at which the inference experiment was completed.
', 'DescribeInferenceExperimentResponse$LastModifiedTime' => 'The timestamp at which you last modified the inference experiment.
', 'DescribeInferenceRecommendationsJobResponse$CompletionTime' => 'A timestamp that shows when the job completed.
', 'DescribeLabelingJobResponse$CreationTime' => 'The date and time that the labeling job was created.
', 'DescribeLabelingJobResponse$LastModifiedTime' => 'The date and time that the labeling job was last updated.
', 'DescribeLineageGroupResponse$CreationTime' => 'The creation time of lineage group.
', 'DescribeLineageGroupResponse$LastModifiedTime' => 'The last modified time of the lineage group.
', 'DescribeMlflowTrackingServerResponse$CreationTime' => 'The timestamp of when the described MLflow Tracking Server was created.
', 'DescribeMlflowTrackingServerResponse$LastModifiedTime' => 'The timestamp of when the described MLflow Tracking Server was last modified.
', 'DescribeModelBiasJobDefinitionResponse$CreationTime' => 'The time at which the model bias job was created.
', 'DescribeModelCardExportJobResponse$CreatedAt' => 'The date and time that the model export job was created.
', 'DescribeModelCardExportJobResponse$LastModifiedAt' => 'The date and time that the model export job was last modified.
', 'DescribeModelCardResponse$CreationTime' => 'The date and time the model card was created.
', 'DescribeModelCardResponse$LastModifiedTime' => 'The date and time the model card was last modified.
', 'DescribeModelExplainabilityJobDefinitionResponse$CreationTime' => 'The time at which the model explainability job was created.
', 'DescribeModelOutput$CreationTime' => 'A timestamp that shows when the model was created.
', 'DescribeModelPackageOutput$LastModifiedTime' => 'The last time that the model package was modified.
', 'DescribeModelQualityJobDefinitionResponse$CreationTime' => 'The time at which the model quality job was created.
', 'DescribeMonitoringScheduleResponse$CreationTime' => 'The time at which the monitoring job was created.
', 'DescribeMonitoringScheduleResponse$LastModifiedTime' => 'The time at which the monitoring job was last modified.
', 'DescribeOptimizationJobResponse$OptimizationStartTime' => 'The time when the optimization job started.
', 'DescribeOptimizationJobResponse$OptimizationEndTime' => 'The time when the optimization job finished processing.
', 'DescribePartnerAppResponse$CreationTime' => 'The time that the SageMaker Partner AI App was created.
', 'DescribePipelineDefinitionForExecutionResponse$CreationTime' => 'The time when the pipeline was created.
', 'DescribePipelineExecutionResponse$CreationTime' => 'The time when the pipeline execution was created.
', 'DescribePipelineExecutionResponse$LastModifiedTime' => 'The time when the pipeline execution was modified last.
', 'DescribePipelineResponse$CreationTime' => 'The time when the pipeline was created.
', 'DescribePipelineResponse$LastModifiedTime' => 'The time when the pipeline was last modified.
', 'DescribePipelineResponse$LastRunTime' => 'The time when the pipeline was last run.
', 'DescribeProcessingJobResponse$ProcessingEndTime' => 'The time at which the processing job completed.
', 'DescribeProcessingJobResponse$ProcessingStartTime' => 'The time at which the processing job started.
', 'DescribeProcessingJobResponse$LastModifiedTime' => 'The time at which the processing job was last modified.
', 'DescribeProcessingJobResponse$CreationTime' => 'The time at which the processing job was created.
', 'DescribeProjectOutput$CreationTime' => 'The time when the project was created.
', 'DescribeProjectOutput$LastModifiedTime' => 'The timestamp when project was last modified.
', 'DescribeStudioLifecycleConfigResponse$CreationTime' => 'The creation time of the Amazon SageMaker AI Studio Lifecycle Configuration.
', 'DescribeStudioLifecycleConfigResponse$LastModifiedTime' => 'This value is equivalent to CreationTime because Amazon SageMaker AI Studio Lifecycle Configurations are immutable.
', 'DescribeTrainingJobResponse$CreationTime' => 'A timestamp that indicates when the training job was created.
', 'DescribeTrainingJobResponse$TrainingStartTime' => 'Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.
Indicates the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when SageMaker detects a job failure.
A timestamp that indicates when the status of the training job was last modified.
', 'DescribeTrainingPlanResponse$StartTime' => 'The start time of the training plan.
', 'DescribeTrainingPlanResponse$EndTime' => 'The end time of the training plan.
', 'DescribeTransformJobResponse$CreationTime' => 'A timestamp that shows when the transform Job was created.
', 'DescribeTransformJobResponse$TransformStartTime' => 'Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.
Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.
When the component started.
', 'DescribeTrialComponentResponse$EndTime' => 'When the component ended.
', 'DescribeTrialComponentResponse$CreationTime' => 'When the component was created.
', 'DescribeTrialComponentResponse$LastModifiedTime' => 'When the component was last modified.
', 'DescribeTrialResponse$CreationTime' => 'When the trial was created.
', 'DescribeTrialResponse$LastModifiedTime' => 'When the trial was last modified.
', 'DeviceDeploymentSummary$DeploymentStartTime' => 'The time when the deployment on the device started.
', 'DeviceFleetSummary$CreationTime' => 'Timestamp of when the device fleet was created.
', 'DeviceFleetSummary$LastModifiedTime' => 'Timestamp of when the device fleet was last updated.
', 'DeviceSummary$RegistrationTime' => 'The timestamp of the last registration or de-reregistration.
', 'DeviceSummary$LatestHeartbeat' => 'The last heartbeat received from the device.
', 'EdgeDeploymentPlanSummary$CreationTime' => 'The time when the edge deployment plan was created.
', 'EdgeDeploymentPlanSummary$LastModifiedTime' => 'The time when the edge deployment plan was last updated.
', 'EdgeDeploymentStatus$EdgeDeploymentStageStartTime' => 'The time when the deployment API started.
', 'EdgeModel$LatestSampleTime' => 'The timestamp of the last data sample taken.
', 'EdgeModel$LatestInference' => 'The timestamp of the last inference that was made.
', 'EdgePackagingJobSummary$CreationTime' => 'The timestamp of when the job was created.
', 'EdgePackagingJobSummary$LastModifiedTime' => 'The timestamp of when the edge packaging job was last updated.
', 'Endpoint$CreationTime' => 'The time that the endpoint was created.
', 'Endpoint$LastModifiedTime' => 'The last time the endpoint was modified.
', 'EndpointConfigSummary$CreationTime' => 'A timestamp that shows when the endpoint configuration was created.
', 'EndpointSummary$CreationTime' => 'A timestamp that shows when the endpoint was created.
', 'EndpointSummary$LastModifiedTime' => 'A timestamp that shows when the endpoint was last modified.
', 'Experiment$CreationTime' => 'When the experiment was created.
', 'Experiment$LastModifiedTime' => 'When the experiment was last modified.
', 'ExperimentSummary$CreationTime' => 'When the experiment was created.
', 'ExperimentSummary$LastModifiedTime' => 'When the experiment was last modified.
', 'FeatureGroupSummary$CreationTime' => 'A timestamp indicating the time of creation time of the FeatureGroup.
The timestamp when SageMaker created the flow definition.
', 'GetDeviceFleetReportResponse$ReportGenerated' => 'Timestamp of when the report was generated.
', 'HubContentInfo$CreationTime' => 'The date and time that the hub content was created.
', 'HubContentInfo$OriginalCreationTime' => 'The date and time when the hub content was originally created, before any updates or revisions.
', 'HubInfo$CreationTime' => 'The date and time that the hub was created.
', 'HubInfo$LastModifiedTime' => 'The date and time that the hub was last modified.
', 'HumanTaskUiSummary$CreationTime' => 'A timestamp when SageMaker created the human task user interface.
', 'HyperParameterTrainingJobSummary$CreationTime' => 'The date and time that the training job was created.
', 'HyperParameterTrainingJobSummary$TrainingStartTime' => 'The date and time that the training job started.
', 'HyperParameterTrainingJobSummary$TrainingEndTime' => 'Specifies the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when SageMaker detects a job failure.
The time in timestamp format that AMT detected model convergence, as defined by a lack of significant improvement over time based on criteria developed over a wide range of diverse benchmarking tests.
', 'HyperParameterTuningJobSearchEntity$CreationTime' => 'The time that a hyperparameter tuning job was created.
', 'HyperParameterTuningJobSearchEntity$HyperParameterTuningEndTime' => 'The time that a hyperparameter tuning job ended.
', 'HyperParameterTuningJobSearchEntity$LastModifiedTime' => 'The time that a hyperparameter tuning job was last modified.
', 'HyperParameterTuningJobSummary$CreationTime' => 'The date and time that the tuning job was created.
', 'HyperParameterTuningJobSummary$HyperParameterTuningEndTime' => 'The date and time that the tuning job ended.
', 'HyperParameterTuningJobSummary$LastModifiedTime' => 'The date and time that the tuning job was modified.
', 'Image$CreationTime' => 'When the image was created.
', 'Image$LastModifiedTime' => 'When the image was last modified.
', 'ImageVersion$CreationTime' => 'When the version was created.
', 'ImageVersion$LastModifiedTime' => 'When the version was last modified.
', 'InferenceComponentSummary$CreationTime' => 'The time when the inference component was created.
', 'InferenceComponentSummary$LastModifiedTime' => 'The time when the inference component was last updated.
', 'InferenceExperimentSchedule$StartTime' => 'The timestamp at which the inference experiment started or will start.
', 'InferenceExperimentSchedule$EndTime' => 'The timestamp at which the inference experiment ended or will end.
', 'InferenceExperimentSummary$CreationTime' => 'The timestamp at which the inference experiment was created.
', 'InferenceExperimentSummary$CompletionTime' => 'The timestamp at which the inference experiment was completed.
', 'InferenceExperimentSummary$LastModifiedTime' => 'The timestamp when you last modified the inference experiment.
', 'InferenceRecommendationsJob$CompletionTime' => 'A timestamp that shows when the job completed.
', 'LabelingJobForWorkteamSummary$CreationTime' => 'The date and time that the labeling job was created.
', 'LabelingJobSummary$CreationTime' => 'The date and time that the job was created (timestamp).
', 'LabelingJobSummary$LastModifiedTime' => 'The date and time that the job was last modified (timestamp).
', 'LineageGroupSummary$CreationTime' => 'The creation time of the lineage group summary.
', 'LineageGroupSummary$LastModifiedTime' => 'The last modified time of the lineage group summary.
', 'ListActionsRequest$CreatedAfter' => 'A filter that returns only actions created on or after the specified time.
', 'ListActionsRequest$CreatedBefore' => 'A filter that returns only actions created on or before the specified time.
', 'ListAppImageConfigsRequest$CreationTimeBefore' => 'A filter that returns only AppImageConfigs created on or before the specified time.
', 'ListAppImageConfigsRequest$CreationTimeAfter' => 'A filter that returns only AppImageConfigs created on or after the specified time.
', 'ListAppImageConfigsRequest$ModifiedTimeBefore' => 'A filter that returns only AppImageConfigs modified on or before the specified time.
', 'ListAppImageConfigsRequest$ModifiedTimeAfter' => 'A filter that returns only AppImageConfigs modified on or after the specified time.
', 'ListArtifactsRequest$CreatedAfter' => 'A filter that returns only artifacts created on or after the specified time.
', 'ListArtifactsRequest$CreatedBefore' => 'A filter that returns only artifacts created on or before the specified time.
', 'ListAssociationsRequest$CreatedAfter' => 'A filter that returns only associations created on or after the specified time.
', 'ListAssociationsRequest$CreatedBefore' => 'A filter that returns only associations created on or before the specified time.
', 'ListAutoMLJobsRequest$CreationTimeAfter' => 'Request a list of jobs, using a filter for time.
', 'ListAutoMLJobsRequest$CreationTimeBefore' => 'Request a list of jobs, using a filter for time.
', 'ListAutoMLJobsRequest$LastModifiedTimeAfter' => 'Request a list of jobs, using a filter for time.
', 'ListAutoMLJobsRequest$LastModifiedTimeBefore' => 'Request a list of jobs, using a filter for time.
', 'ListClusterNodesRequest$CreationTimeAfter' => 'A filter that returns nodes in a SageMaker HyperPod cluster created after the specified time. Timestamps are formatted according to the ISO 8601 standard.
Acceptable formats include:
YYYY-MM-DDThh:mm:ss.sssTZD (UTC), for example, 2014-10-01T20:30:00.000Z
YYYY-MM-DDThh:mm:ss.sssTZD (with offset), for example, 2014-10-01T12:30:00.000-08:00
YYYY-MM-DD, for example, 2014-10-01
Unix time in seconds, for example, 1412195400. This is also referred to as Unix Epoch time and represents the number of seconds since midnight, January 1, 1970 UTC.
For more information about the timestamp format, see Timestamp in the Amazon Web Services Command Line Interface User Guide.
', 'ListClusterNodesRequest$CreationTimeBefore' => 'A filter that returns nodes in a SageMaker HyperPod cluster created before the specified time. The acceptable formats are the same as the timestamp formats for CreationTimeAfter. For more information about the timestamp format, see Timestamp in the Amazon Web Services Command Line Interface User Guide.
Filter for after this creation time. The input for this parameter is a Unix timestamp. To convert a date and time into a Unix timestamp, see EpochConverter.
', 'ListClusterSchedulerConfigsRequest$CreatedBefore' => 'Filter for before this creation time. The input for this parameter is a Unix timestamp. To convert a date and time into a Unix timestamp, see EpochConverter.
', 'ListClustersRequest$CreationTimeAfter' => 'Set a start time for the time range during which you want to list SageMaker HyperPod clusters. Timestamps are formatted according to the ISO 8601 standard.
Acceptable formats include:
YYYY-MM-DDThh:mm:ss.sssTZD (UTC), for example, 2014-10-01T20:30:00.000Z
YYYY-MM-DDThh:mm:ss.sssTZD (with offset), for example, 2014-10-01T12:30:00.000-08:00
YYYY-MM-DD, for example, 2014-10-01
Unix time in seconds, for example, 1412195400. This is also referred to as Unix Epoch time and represents the number of seconds since midnight, January 1, 1970 UTC.
For more information about the timestamp format, see Timestamp in the Amazon Web Services Command Line Interface User Guide.
', 'ListClustersRequest$CreationTimeBefore' => 'Set an end time for the time range during which you want to list SageMaker HyperPod clusters. A filter that returns nodes in a SageMaker HyperPod cluster created before the specified time. The acceptable formats are the same as the timestamp formats for CreationTimeAfter. For more information about the timestamp format, see Timestamp in the Amazon Web Services Command Line Interface User Guide.
A filter that returns only Git repositories that were last modified after the specified time.
', 'ListCodeRepositoriesInput$LastModifiedTimeBefore' => 'A filter that returns only Git repositories that were last modified before the specified time.
', 'ListComputeQuotasRequest$CreatedAfter' => 'Filter for after this creation time. The input for this parameter is a Unix timestamp. To convert a date and time into a Unix timestamp, see EpochConverter.
', 'ListComputeQuotasRequest$CreatedBefore' => 'Filter for before this creation time. The input for this parameter is a Unix timestamp. To convert a date and time into a Unix timestamp, see EpochConverter.
', 'ListContextsRequest$CreatedAfter' => 'A filter that returns only contexts created on or after the specified time.
', 'ListContextsRequest$CreatedBefore' => 'A filter that returns only contexts created on or before the specified time.
', 'ListDataQualityJobDefinitionsRequest$CreationTimeBefore' => 'A filter that returns only data quality monitoring job definitions created before the specified time.
', 'ListDataQualityJobDefinitionsRequest$CreationTimeAfter' => 'A filter that returns only data quality monitoring job definitions created after the specified time.
', 'ListDeviceFleetsRequest$CreationTimeAfter' => 'Filter fleets where packaging job was created after specified time.
', 'ListDeviceFleetsRequest$CreationTimeBefore' => 'Filter fleets where the edge packaging job was created before specified time.
', 'ListDeviceFleetsRequest$LastModifiedTimeAfter' => 'Select fleets where the job was updated after X
', 'ListDeviceFleetsRequest$LastModifiedTimeBefore' => 'Select fleets where the job was updated before X
', 'ListDevicesRequest$LatestHeartbeatAfter' => 'Select fleets where the job was updated after X
', 'ListEdgeDeploymentPlansRequest$CreationTimeAfter' => 'Selects edge deployment plans created after this time.
', 'ListEdgeDeploymentPlansRequest$CreationTimeBefore' => 'Selects edge deployment plans created before this time.
', 'ListEdgeDeploymentPlansRequest$LastModifiedTimeAfter' => 'Selects edge deployment plans that were last updated after this time.
', 'ListEdgeDeploymentPlansRequest$LastModifiedTimeBefore' => 'Selects edge deployment plans that were last updated before this time.
', 'ListEdgePackagingJobsRequest$CreationTimeAfter' => 'Select jobs where the job was created after specified time.
', 'ListEdgePackagingJobsRequest$CreationTimeBefore' => 'Select jobs where the job was created before specified time.
', 'ListEdgePackagingJobsRequest$LastModifiedTimeAfter' => 'Select jobs where the job was updated after specified time.
', 'ListEdgePackagingJobsRequest$LastModifiedTimeBefore' => 'Select jobs where the job was updated before specified time.
', 'ListEndpointConfigsInput$CreationTimeBefore' => 'A filter that returns only endpoint configurations created before the specified time (timestamp).
', 'ListEndpointConfigsInput$CreationTimeAfter' => 'A filter that returns only endpoint configurations with a creation time greater than or equal to the specified time (timestamp).
', 'ListEndpointsInput$CreationTimeBefore' => 'A filter that returns only endpoints that were created before the specified time (timestamp).
', 'ListEndpointsInput$CreationTimeAfter' => 'A filter that returns only endpoints with a creation time greater than or equal to the specified time (timestamp).
', 'ListEndpointsInput$LastModifiedTimeBefore' => 'A filter that returns only endpoints that were modified before the specified timestamp.
', 'ListEndpointsInput$LastModifiedTimeAfter' => 'A filter that returns only endpoints that were modified after the specified timestamp.
', 'ListExperimentsRequest$CreatedAfter' => 'A filter that returns only experiments created after the specified time.
', 'ListExperimentsRequest$CreatedBefore' => 'A filter that returns only experiments created before the specified time.
', 'ListFlowDefinitionsRequest$CreationTimeAfter' => 'A filter that returns only flow definitions with a creation time greater than or equal to the specified timestamp.
', 'ListFlowDefinitionsRequest$CreationTimeBefore' => 'A filter that returns only flow definitions that were created before the specified timestamp.
', 'ListHubContentVersionsRequest$CreationTimeBefore' => 'Only list hub content versions that were created before the time specified.
', 'ListHubContentVersionsRequest$CreationTimeAfter' => 'Only list hub content versions that were created after the time specified.
', 'ListHubContentsRequest$CreationTimeBefore' => 'Only list hub content that was created before the time specified.
', 'ListHubContentsRequest$CreationTimeAfter' => 'Only list hub content that was created after the time specified.
', 'ListHubsRequest$CreationTimeBefore' => 'Only list hubs that were created before the time specified.
', 'ListHubsRequest$CreationTimeAfter' => 'Only list hubs that were created after the time specified.
', 'ListHubsRequest$LastModifiedTimeBefore' => 'Only list hubs that were last modified before the time specified.
', 'ListHubsRequest$LastModifiedTimeAfter' => 'Only list hubs that were last modified after the time specified.
', 'ListHumanTaskUisRequest$CreationTimeAfter' => 'A filter that returns only human task user interfaces with a creation time greater than or equal to the specified timestamp.
', 'ListHumanTaskUisRequest$CreationTimeBefore' => 'A filter that returns only human task user interfaces that were created before the specified timestamp.
', 'ListHyperParameterTuningJobsRequest$CreationTimeAfter' => 'A filter that returns only tuning jobs that were created after the specified time.
', 'ListHyperParameterTuningJobsRequest$CreationTimeBefore' => 'A filter that returns only tuning jobs that were created before the specified time.
', 'ListHyperParameterTuningJobsRequest$LastModifiedTimeAfter' => 'A filter that returns only tuning jobs that were modified after the specified time.
', 'ListHyperParameterTuningJobsRequest$LastModifiedTimeBefore' => 'A filter that returns only tuning jobs that were modified before the specified time.
', 'ListImageVersionsRequest$CreationTimeAfter' => 'A filter that returns only versions created on or after the specified time.
', 'ListImageVersionsRequest$CreationTimeBefore' => 'A filter that returns only versions created on or before the specified time.
', 'ListImageVersionsRequest$LastModifiedTimeAfter' => 'A filter that returns only versions modified on or after the specified time.
', 'ListImageVersionsRequest$LastModifiedTimeBefore' => 'A filter that returns only versions modified on or before the specified time.
', 'ListImagesRequest$CreationTimeAfter' => 'A filter that returns only images created on or after the specified time.
', 'ListImagesRequest$CreationTimeBefore' => 'A filter that returns only images created on or before the specified time.
', 'ListImagesRequest$LastModifiedTimeAfter' => 'A filter that returns only images modified on or after the specified time.
', 'ListImagesRequest$LastModifiedTimeBefore' => 'A filter that returns only images modified on or before the specified time.
', 'ListInferenceComponentsInput$CreationTimeBefore' => 'Filters the results to only those inference components that were created before the specified time.
', 'ListInferenceComponentsInput$CreationTimeAfter' => 'Filters the results to only those inference components that were created after the specified time.
', 'ListInferenceComponentsInput$LastModifiedTimeBefore' => 'Filters the results to only those inference components that were updated before the specified time.
', 'ListInferenceComponentsInput$LastModifiedTimeAfter' => 'Filters the results to only those inference components that were updated after the specified time.
', 'ListInferenceExperimentsRequest$CreationTimeAfter' => 'Selects inference experiments which were created after this timestamp.
', 'ListInferenceExperimentsRequest$CreationTimeBefore' => 'Selects inference experiments which were created before this timestamp.
', 'ListInferenceExperimentsRequest$LastModifiedTimeAfter' => 'Selects inference experiments which were last modified after this timestamp.
', 'ListInferenceExperimentsRequest$LastModifiedTimeBefore' => 'Selects inference experiments which were last modified before this timestamp.
', 'ListLabelingJobsForWorkteamRequest$CreationTimeAfter' => 'A filter that returns only labeling jobs created after the specified time (timestamp).
', 'ListLabelingJobsForWorkteamRequest$CreationTimeBefore' => 'A filter that returns only labeling jobs created before the specified time (timestamp).
', 'ListLabelingJobsRequest$CreationTimeAfter' => 'A filter that returns only labeling jobs created after the specified time (timestamp).
', 'ListLabelingJobsRequest$CreationTimeBefore' => 'A filter that returns only labeling jobs created before the specified time (timestamp).
', 'ListLabelingJobsRequest$LastModifiedTimeAfter' => 'A filter that returns only labeling jobs modified after the specified time (timestamp).
', 'ListLabelingJobsRequest$LastModifiedTimeBefore' => 'A filter that returns only labeling jobs modified before the specified time (timestamp).
', 'ListLineageGroupsRequest$CreatedAfter' => 'A timestamp to filter against lineage groups created after a certain point in time.
', 'ListLineageGroupsRequest$CreatedBefore' => 'A timestamp to filter against lineage groups created before a certain point in time.
', 'ListMlflowTrackingServersRequest$CreatedAfter' => 'Use the CreatedAfter filter to only list tracking servers created after a specific date and time. Listed tracking servers are shown with a date and time such as "2024-03-16T01:46:56+00:00". The CreatedAfter parameter takes in a Unix timestamp. To convert a date and time into a Unix timestamp, see EpochConverter.
Use the CreatedBefore filter to only list tracking servers created before a specific date and time. Listed tracking servers are shown with a date and time such as "2024-03-16T01:46:56+00:00". The CreatedBefore parameter takes in a Unix timestamp. To convert a date and time into a Unix timestamp, see EpochConverter.
A filter that returns only model bias jobs created before a specified time.
', 'ListModelBiasJobDefinitionsRequest$CreationTimeAfter' => 'A filter that returns only model bias jobs created after a specified time.
', 'ListModelCardExportJobsRequest$CreationTimeAfter' => 'Only list model card export jobs that were created after the time specified.
', 'ListModelCardExportJobsRequest$CreationTimeBefore' => 'Only list model card export jobs that were created before the time specified.
', 'ListModelCardVersionsRequest$CreationTimeAfter' => 'Only list model card versions that were created after the time specified.
', 'ListModelCardVersionsRequest$CreationTimeBefore' => 'Only list model card versions that were created before the time specified.
', 'ListModelCardsRequest$CreationTimeAfter' => 'Only list model cards that were created after the time specified.
', 'ListModelCardsRequest$CreationTimeBefore' => 'Only list model cards that were created before the time specified.
', 'ListModelExplainabilityJobDefinitionsRequest$CreationTimeBefore' => 'A filter that returns only model explainability jobs created before a specified time.
', 'ListModelExplainabilityJobDefinitionsRequest$CreationTimeAfter' => 'A filter that returns only model explainability jobs created after a specified time.
', 'ListModelQualityJobDefinitionsRequest$CreationTimeBefore' => 'A filter that returns only model quality monitoring job definitions created before the specified time.
', 'ListModelQualityJobDefinitionsRequest$CreationTimeAfter' => 'A filter that returns only model quality monitoring job definitions created after the specified time.
', 'ListModelsInput$CreationTimeBefore' => 'A filter that returns only models created before the specified time (timestamp).
', 'ListModelsInput$CreationTimeAfter' => 'A filter that returns only models with a creation time greater than or equal to the specified time (timestamp).
', 'ListMonitoringAlertHistoryRequest$CreationTimeBefore' => 'A filter that returns only alerts created on or before the specified time.
', 'ListMonitoringAlertHistoryRequest$CreationTimeAfter' => 'A filter that returns only alerts created on or after the specified time.
', 'ListMonitoringExecutionsRequest$ScheduledTimeBefore' => 'Filter for jobs scheduled before a specified time.
', 'ListMonitoringExecutionsRequest$ScheduledTimeAfter' => 'Filter for jobs scheduled after a specified time.
', 'ListMonitoringExecutionsRequest$CreationTimeBefore' => 'A filter that returns only jobs created before a specified time.
', 'ListMonitoringExecutionsRequest$CreationTimeAfter' => 'A filter that returns only jobs created after a specified time.
', 'ListMonitoringExecutionsRequest$LastModifiedTimeBefore' => 'A filter that returns only jobs modified after a specified time.
', 'ListMonitoringExecutionsRequest$LastModifiedTimeAfter' => 'A filter that returns only jobs modified before a specified time.
', 'ListMonitoringSchedulesRequest$CreationTimeBefore' => 'A filter that returns only monitoring schedules created before a specified time.
', 'ListMonitoringSchedulesRequest$CreationTimeAfter' => 'A filter that returns only monitoring schedules created after a specified time.
', 'ListMonitoringSchedulesRequest$LastModifiedTimeBefore' => 'A filter that returns only monitoring schedules modified before a specified time.
', 'ListMonitoringSchedulesRequest$LastModifiedTimeAfter' => 'A filter that returns only monitoring schedules modified after a specified time.
', 'ListPipelineExecutionsRequest$CreatedAfter' => 'A filter that returns the pipeline executions that were created after a specified time.
', 'ListPipelineExecutionsRequest$CreatedBefore' => 'A filter that returns the pipeline executions that were created before a specified time.
', 'ListPipelinesRequest$CreatedAfter' => 'A filter that returns the pipelines that were created after a specified time.
', 'ListPipelinesRequest$CreatedBefore' => 'A filter that returns the pipelines that were created before a specified time.
', 'ListProcessingJobsRequest$CreationTimeAfter' => 'A filter that returns only processing jobs created after the specified time.
', 'ListProcessingJobsRequest$CreationTimeBefore' => 'A filter that returns only processing jobs created after the specified time.
', 'ListProcessingJobsRequest$LastModifiedTimeAfter' => 'A filter that returns only processing jobs modified after the specified time.
', 'ListProcessingJobsRequest$LastModifiedTimeBefore' => 'A filter that returns only processing jobs modified before the specified time.
', 'ListProjectsInput$CreationTimeAfter' => 'A filter that returns the projects that were created after a specified time.
', 'ListProjectsInput$CreationTimeBefore' => 'A filter that returns the projects that were created before a specified time.
', 'ListResourceCatalogsRequest$CreationTimeAfter' => ' Use this parameter to search for ResourceCatalogs created after a specific date and time.
Use this parameter to search for ResourceCatalogs created before a specific date and time.
A filter that returns only Lifecycle Configurations created on or before the specified time.
', 'ListStudioLifecycleConfigsRequest$CreationTimeAfter' => 'A filter that returns only Lifecycle Configurations created on or after the specified time.
', 'ListStudioLifecycleConfigsRequest$ModifiedTimeBefore' => 'A filter that returns only Lifecycle Configurations modified before the specified time.
', 'ListStudioLifecycleConfigsRequest$ModifiedTimeAfter' => 'A filter that returns only Lifecycle Configurations modified after the specified time.
', 'ListTrainingJobsRequest$CreationTimeAfter' => 'A filter that returns only training jobs created after the specified time (timestamp).
', 'ListTrainingJobsRequest$CreationTimeBefore' => 'A filter that returns only training jobs created before the specified time (timestamp).
', 'ListTrainingJobsRequest$LastModifiedTimeAfter' => 'A filter that returns only training jobs modified after the specified time (timestamp).
', 'ListTrainingJobsRequest$LastModifiedTimeBefore' => 'A filter that returns only training jobs modified before the specified time (timestamp).
', 'ListTrainingPlansRequest$StartTimeAfter' => 'Filter to list only training plans with an actual start time after this date.
', 'ListTrainingPlansRequest$StartTimeBefore' => 'Filter to list only training plans with an actual start time before this date.
', 'ListTransformJobsRequest$CreationTimeAfter' => 'A filter that returns only transform jobs created after the specified time.
', 'ListTransformJobsRequest$CreationTimeBefore' => 'A filter that returns only transform jobs created before the specified time.
', 'ListTransformJobsRequest$LastModifiedTimeAfter' => 'A filter that returns only transform jobs modified after the specified time.
', 'ListTransformJobsRequest$LastModifiedTimeBefore' => 'A filter that returns only transform jobs modified before the specified time.
', 'ListTrialComponentsRequest$CreatedAfter' => 'A filter that returns only components created after the specified time.
', 'ListTrialComponentsRequest$CreatedBefore' => 'A filter that returns only components created before the specified time.
', 'ListTrialsRequest$CreatedAfter' => 'A filter that returns only trials created after the specified time.
', 'ListTrialsRequest$CreatedBefore' => 'A filter that returns only trials created before the specified time.
', 'MetricData$Timestamp' => 'The date and time that the algorithm emitted the metric.
', 'Model$CreationTime' => 'A timestamp that indicates when the model was created.
', 'ModelCard$CreationTime' => 'The date and time that the model card was created.
', 'ModelCard$LastModifiedTime' => 'The date and time that the model card was last modified.
', 'ModelCardExportJobSummary$CreatedAt' => 'The date and time that the model card export job was created.
', 'ModelCardExportJobSummary$LastModifiedAt' => 'The date and time that the model card export job was last modified..
', 'ModelCardSummary$CreationTime' => 'The date and time that the model card was created.
', 'ModelCardSummary$LastModifiedTime' => 'The date and time that the model card was last modified.
', 'ModelCardVersionSummary$CreationTime' => 'The date and time that the model card version was created.
', 'ModelCardVersionSummary$LastModifiedTime' => 'The time date and time that the model card version was last modified.
', 'ModelDashboardEndpoint$CreationTime' => 'A timestamp that indicates when the endpoint was created.
', 'ModelDashboardEndpoint$LastModifiedTime' => 'The last time the endpoint was modified.
', 'ModelDashboardModelCard$CreationTime' => 'A timestamp that indicates when the model card was created.
', 'ModelDashboardModelCard$LastModifiedTime' => 'A timestamp that indicates when the model card was last updated.
', 'ModelDashboardMonitoringSchedule$CreationTime' => 'A timestamp that indicates when the monitoring schedule was created.
', 'ModelDashboardMonitoringSchedule$LastModifiedTime' => 'A timestamp that indicates when the monitoring schedule was last updated.
', 'ModelPackage$LastModifiedTime' => 'The last time the model package was modified.
', 'ModelSummary$CreationTime' => 'A timestamp that indicates when the model was created.
', 'MonitoringAlertHistorySummary$CreationTime' => 'A timestamp that indicates when the first alert transition occurred in an alert history. An alert transition can be from status InAlert to OK, or from OK to InAlert.
A timestamp that indicates when a monitor alert was created.
', 'MonitoringAlertSummary$LastModifiedTime' => 'A timestamp that indicates when a monitor alert was last updated.
', 'MonitoringExecutionSummary$ScheduledTime' => 'The time the monitoring job was scheduled.
', 'MonitoringExecutionSummary$CreationTime' => 'The time at which the monitoring job was created.
', 'MonitoringExecutionSummary$LastModifiedTime' => 'A timestamp that indicates the last time the monitoring job was modified.
', 'MonitoringJobDefinitionSummary$CreationTime' => 'The time that the monitoring job was created.
', 'MonitoringSchedule$CreationTime' => 'The time that the monitoring schedule was created.
', 'MonitoringSchedule$LastModifiedTime' => 'The last time the monitoring schedule was changed.
', 'MonitoringScheduleSummary$CreationTime' => 'The creation time of the monitoring schedule.
', 'MonitoringScheduleSummary$LastModifiedTime' => 'The last time the monitoring schedule was modified.
', 'OptimizationJobSummary$OptimizationStartTime' => 'The time when the optimization job started.
', 'OptimizationJobSummary$OptimizationEndTime' => 'The time when the optimization job finished processing.
', 'PartnerAppSummary$CreationTime' => 'The creation time of the SageMaker Partner AI App.
', 'PendingDeploymentSummary$StartTime' => 'The start time of the deployment.
', 'Pipeline$CreationTime' => 'The creation time of the pipeline.
', 'Pipeline$LastModifiedTime' => 'The time that the pipeline was last modified.
', 'Pipeline$LastRunTime' => 'The time when the pipeline was last run.
', 'PipelineExecution$CreationTime' => 'The creation time of the pipeline execution.
', 'PipelineExecution$LastModifiedTime' => 'The time that the pipeline execution was last modified.
', 'PipelineExecutionStep$StartTime' => 'The time that the step started executing.
', 'PipelineExecutionStep$EndTime' => 'The time that the step stopped executing.
', 'PipelineExecutionSummary$StartTime' => 'The start time of the pipeline execution.
', 'PipelineSummary$CreationTime' => 'The creation time of the pipeline.
', 'PipelineSummary$LastModifiedTime' => 'The time that the pipeline was last modified.
', 'PipelineSummary$LastExecutionTime' => 'The last time that a pipeline execution began.
', 'ProcessingJob$ProcessingEndTime' => 'The time that the processing job ended.
', 'ProcessingJob$ProcessingStartTime' => 'The time that the processing job started.
', 'ProcessingJob$LastModifiedTime' => 'The time the processing job was last modified.
', 'ProcessingJob$CreationTime' => 'The time the processing job was created.
', 'ProcessingJobSummary$CreationTime' => 'The time at which the processing job was created.
', 'ProcessingJobSummary$ProcessingEndTime' => 'The time at which the processing job completed.
', 'ProcessingJobSummary$LastModifiedTime' => 'A timestamp that indicates the last time the processing job was modified.
', 'ProductionVariantStatus$StartTime' => 'The start time of the current status change.
', 'ProfilerRuleEvaluationStatus$LastModifiedTime' => 'Timestamp when the rule evaluation status was last modified.
', 'Project$CreationTime' => 'A timestamp specifying when the project was created.
', 'Project$LastModifiedTime' => 'A timestamp container for when the project was last modified.
', 'ProjectSummary$CreationTime' => 'The time that the project was created.
', 'QueryFilters$CreatedBefore' => 'Filter the lineage entities connected to the StartArn(s) by created date.
Filter the lineage entities connected to the StartArn(s) after the create date.
Filter the lineage entities connected to the StartArn(s) before the last modified date.
Filter the lineage entities connected to the StartArn(s) after the last modified date.
The start time of the reserved capacity offering.
', 'ReservedCapacityOffering$EndTime' => 'The end time of the reserved capacity offering.
', 'ReservedCapacitySummary$StartTime' => 'The start time of the reserved capacity.
', 'ReservedCapacitySummary$EndTime' => 'The end time of the reserved capacity.
', 'ResourceCatalog$CreationTime' => ' The time the ResourceCatalog was created.
A filter to search for training plan offerings with a start time after a specified date.
', 'SearchTrainingPlanOfferingsRequest$EndTimeBefore' => 'A filter to search for reserved capacity offerings with an end time before a specified date.
', 'SecondaryStatusTransition$StartTime' => 'A timestamp that shows when the training job transitioned to the current secondary status state.
', 'SecondaryStatusTransition$EndTime' => 'A timestamp that shows when the training job transitioned out of this secondary status state into another secondary status state or when the training job has ended.
', 'StudioLifecycleConfigDetails$CreationTime' => 'The creation time of the Amazon SageMaker AI Studio Lifecycle Configuration.
', 'StudioLifecycleConfigDetails$LastModifiedTime' => 'This value is equivalent to CreationTime because Amazon SageMaker AI Studio Lifecycle Configurations are immutable.
', 'TrackingServerSummary$CreationTime' => 'The creation time of a listed tracking server.
', 'TrackingServerSummary$LastModifiedTime' => 'The last modified time of a listed tracking server.
', 'TrainingJob$CreationTime' => 'A timestamp that indicates when the training job was created.
', 'TrainingJob$TrainingStartTime' => 'Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.
Indicates the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when SageMaker detects a job failure.
A timestamp that indicates when the status of the training job was last modified.
', 'TrainingJobSummary$CreationTime' => 'A timestamp that shows when the training job was created.
', 'TrainingJobSummary$TrainingEndTime' => 'A timestamp that shows when the training job ended. This field is set only if the training job has one of the terminal statuses (Completed, Failed, or Stopped).
Timestamp when the training job was last modified.
', 'TrainingPlanOffering$RequestedStartTimeAfter' => 'The requested start time that the user specified when searching for the training plan offering.
', 'TrainingPlanOffering$RequestedEndTimeBefore' => 'The requested end time that the user specified when searching for the training plan offering.
', 'TrainingPlanSummary$StartTime' => 'The start time of the training plan.
', 'TrainingPlanSummary$EndTime' => 'The end time of the training plan.
', 'TransformJob$CreationTime' => 'A timestamp that shows when the transform Job was created.
', 'TransformJob$TransformStartTime' => 'Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.
Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.
A timestamp that shows when the transform Job was created.
', 'TransformJobSummary$TransformEndTime' => 'Indicates when the transform job ends on compute instances. For successful jobs and stopped jobs, this is the exact time recorded after the results are uploaded. For failed jobs, this is when Amazon SageMaker detected that the job failed.
', 'TransformJobSummary$LastModifiedTime' => 'Indicates when the transform job was last modified.
', 'Trial$CreationTime' => 'When the trial was created.
', 'Trial$LastModifiedTime' => 'Who last modified the trial.
', 'TrialComponent$StartTime' => 'When the component started.
', 'TrialComponent$EndTime' => 'When the component ended.
', 'TrialComponent$CreationTime' => 'When the component was created.
', 'TrialComponent$LastModifiedTime' => 'When the component was last modified.
', 'TrialComponentMetricSummary$TimeStamp' => 'When the metric was last updated.
', 'TrialComponentSimpleSummary$CreationTime' => 'When the component was created.
', 'TrialComponentSummary$StartTime' => 'When the component started.
', 'TrialComponentSummary$EndTime' => 'When the component ended.
', 'TrialComponentSummary$CreationTime' => 'When the component was created.
', 'TrialComponentSummary$LastModifiedTime' => 'When the component was last modified.
', 'TrialSummary$CreationTime' => 'When the trial was created.
', 'TrialSummary$LastModifiedTime' => 'When the trial was last modified.
', 'UpdateTrialComponentRequest$StartTime' => 'When the component started.
', 'UpdateTrialComponentRequest$EndTime' => 'When the component ended.
', 'Workforce$LastUpdatedDate' => 'The most recent date that UpdateWorkforce was used to successfully add one or more IP address ranges (CIDRs) to a private workforce\'s allow list.
', 'Workforce$CreateDate' => 'The date that the workforce is created.
', 'Workteam$CreateDate' => 'The date and time that the work team was created (timestamp).
', 'Workteam$LastUpdatedDate' => 'The date and time that the work team was last updated (timestamp).
', ], ], 'TimestampAttributeName' => [ 'base' => NULL, 'refs' => [ 'TimeSeriesConfig$TimestampAttributeName' => 'The name of the column indicating a point in time at which the target value of a given item is recorded.
', ], ], 'TotalInstanceCount' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingPlanResponse$TotalInstanceCount' => 'The total number of instances reserved in this training plan.
', 'ReservedCapacitySummary$TotalInstanceCount' => 'The total number of instances in the reserved capacity.
', 'TrainingPlanSummary$TotalInstanceCount' => 'The total number of instances reserved in this training plan.
', ], ], 'TrackingServerArn' => [ 'base' => NULL, 'refs' => [ 'CreateMlflowTrackingServerResponse$TrackingServerArn' => 'The ARN of the tracking server.
', 'DeleteMlflowTrackingServerResponse$TrackingServerArn' => 'A TrackingServerArn object, the ARN of the tracking server that is deleted if successfully found.
The ARN of the described tracking server.
', 'StartMlflowTrackingServerResponse$TrackingServerArn' => 'The ARN of the started tracking server.
', 'StopMlflowTrackingServerResponse$TrackingServerArn' => 'The ARN of the stopped tracking server.
', 'TrackingServerSummary$TrackingServerArn' => 'The ARN of a listed tracking server.
', 'UpdateMlflowTrackingServerResponse$TrackingServerArn' => 'The ARN of the updated MLflow Tracking Server.
', ], ], 'TrackingServerName' => [ 'base' => NULL, 'refs' => [ 'CreateMlflowTrackingServerRequest$TrackingServerName' => 'A unique string identifying the tracking server name. This string is part of the tracking server ARN.
', 'CreatePresignedMlflowTrackingServerUrlRequest$TrackingServerName' => 'The name of the tracking server to connect to your MLflow UI.
', 'DeleteMlflowTrackingServerRequest$TrackingServerName' => 'The name of the the tracking server to delete.
', 'DescribeMlflowTrackingServerRequest$TrackingServerName' => 'The name of the MLflow Tracking Server to describe.
', 'DescribeMlflowTrackingServerResponse$TrackingServerName' => 'The name of the described tracking server.
', 'StartMlflowTrackingServerRequest$TrackingServerName' => 'The name of the tracking server to start.
', 'StopMlflowTrackingServerRequest$TrackingServerName' => 'The name of the tracking server to stop.
', 'TrackingServerSummary$TrackingServerName' => 'The name of a listed tracking server.
', 'UpdateMlflowTrackingServerRequest$TrackingServerName' => 'The name of the MLflow Tracking Server to update.
', ], ], 'TrackingServerSize' => [ 'base' => NULL, 'refs' => [ 'CreateMlflowTrackingServerRequest$TrackingServerSize' => 'The size of the tracking server you want to create. You can choose between "Small", "Medium", and "Large". The default MLflow Tracking Server configuration size is "Small". You can choose a size depending on the projected use of the tracking server such as the volume of data logged, number of users, and frequency of use.
We recommend using a small tracking server for teams of up to 25 users, a medium tracking server for teams of up to 50 users, and a large tracking server for teams of up to 100 users.
', 'DescribeMlflowTrackingServerResponse$TrackingServerSize' => 'The size of the described tracking server.
', 'UpdateMlflowTrackingServerRequest$TrackingServerSize' => 'The new size for the MLflow Tracking Server.
', ], ], 'TrackingServerStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeMlflowTrackingServerResponse$TrackingServerStatus' => 'The current creation status of the described MLflow Tracking Server.
', 'ListMlflowTrackingServersRequest$TrackingServerStatus' => 'Filter for tracking servers with a specified creation status.
', 'TrackingServerSummary$TrackingServerStatus' => 'The creation status of a listed tracking server.
', ], ], 'TrackingServerSummary' => [ 'base' => 'The summary of the tracking server to list.
', 'refs' => [ 'TrackingServerSummaryList$member' => NULL, ], ], 'TrackingServerSummaryList' => [ 'base' => NULL, 'refs' => [ 'ListMlflowTrackingServersResponse$TrackingServerSummaries' => 'A list of tracking servers according to chosen filters.
', ], ], 'TrackingServerUrl' => [ 'base' => NULL, 'refs' => [ 'CreatePresignedMlflowTrackingServerUrlResponse$AuthorizedUrl' => 'A presigned URL with an authorization token.
', 'DescribeMlflowTrackingServerResponse$TrackingServerUrl' => 'The URL to connect to the MLflow user interface for the described tracking server.
', ], ], 'TrafficDurationInSeconds' => [ 'base' => NULL, 'refs' => [ 'Phase$DurationInSeconds' => 'Specifies how long a traffic phase should be. For custom load tests, the value should be between 120 and 3600. This value should not exceed JobDurationInSeconds.
Defines how long each traffic step should be.
', ], ], 'TrafficPattern' => [ 'base' => 'Defines the traffic pattern of the load test.
', 'refs' => [ 'RecommendationJobInputConfig$TrafficPattern' => 'Specifies the traffic pattern of the job.
', ], ], 'TrafficRoutingConfig' => [ 'base' => 'Defines the traffic routing strategy during an endpoint deployment to shift traffic from the old fleet to the new fleet.
', 'refs' => [ 'BlueGreenUpdatePolicy$TrafficRoutingConfiguration' => 'Defines the traffic routing strategy to shift traffic from the old fleet to the new fleet during an endpoint deployment.
', ], ], 'TrafficRoutingConfigType' => [ 'base' => NULL, 'refs' => [ 'TrafficRoutingConfig$Type' => 'Traffic routing strategy type.
ALL_AT_ONCE: Endpoint traffic shifts to the new fleet in a single step.
CANARY: Endpoint traffic shifts to the new fleet in two steps. The first step is the canary, which is a small portion of the traffic. The second step is the remainder of the traffic.
LINEAR: Endpoint traffic shifts to the new fleet in n steps of a configurable size.
Defines the traffic patterns. Choose either PHASES or STAIRS.
The arguments for a container used to run a training job. See How Amazon SageMaker Runs Your Training Image for additional information.
', ], ], 'TrainingContainerEntrypoint' => [ 'base' => NULL, 'refs' => [ 'AlgorithmSpecification$ContainerEntrypoint' => 'The entrypoint script for a Docker container used to run a training job. This script takes precedence over the default train processing instructions. See How Amazon SageMaker Runs Your Training Image for more information.
', ], ], 'TrainingContainerEntrypointString' => [ 'base' => NULL, 'refs' => [ 'TrainingContainerEntrypoint$member' => NULL, ], ], 'TrainingEnvironmentKey' => [ 'base' => NULL, 'refs' => [ 'TrainingEnvironmentMap$key' => NULL, ], ], 'TrainingEnvironmentMap' => [ 'base' => NULL, 'refs' => [ 'CreateTrainingJobRequest$Environment' => 'The environment variables to set in the Docker container.
', 'DescribeTrainingJobResponse$Environment' => 'The environment variables to set in the Docker container.
', 'TrainingJob$Environment' => 'The environment variables to set in the Docker container.
', ], ], 'TrainingEnvironmentValue' => [ 'base' => NULL, 'refs' => [ 'TrainingEnvironmentMap$value' => NULL, ], ], 'TrainingImageConfig' => [ 'base' => 'The configuration to use an image from a private Docker registry for a training job.
', 'refs' => [ 'AlgorithmSpecification$TrainingImageConfig' => 'The configuration to use an image from a private Docker registry for a training job.
', ], ], 'TrainingInputMode' => [ 'base' => 'The training input mode that the algorithm supports. For more information about input modes, see Algorithms.
Pipe mode
If an algorithm supports Pipe mode, Amazon SageMaker streams data directly from Amazon S3 to the container.
File mode
If an algorithm supports File mode, SageMaker downloads the training data from S3 to the provisioned ML storage volume, and mounts the directory to the Docker volume for the training container.
You must provision the ML storage volume with sufficient capacity to accommodate the data downloaded from S3. In addition to the training data, the ML storage volume also stores the output model. The algorithm container uses the ML storage volume to also store intermediate information, if any.
For distributed algorithms, training data is distributed uniformly. Your training duration is predictable if the input data objects sizes are approximately the same. SageMaker does not split the files any further for model training. If the object sizes are skewed, training won\'t be optimal as the data distribution is also skewed when one host in a training cluster is overloaded, thus becoming a bottleneck in training.
FastFile mode
If an algorithm supports FastFile mode, SageMaker streams data directly from S3 to the container with no code changes, and provides file system access to the data. Users can author their training script to interact with these files as if they were stored on disk.
FastFile mode works best when the data is read sequentially. Augmented manifest files aren\'t supported. The startup time is lower when there are fewer files in the S3 bucket provided.
(Optional) The input mode to use for the data channel in a training job. If you don\'t set a value for InputMode, SageMaker uses the value set for TrainingInputMode. Use this parameter to override the TrainingInputMode setting in a AlgorithmSpecification request when you have a channel that needs a different input mode from the training job\'s general setting. To download the data from Amazon Simple Storage Service (Amazon S3) to the provisioned ML storage volume, and mount the directory to a Docker volume, use File input mode. To stream data directly from Amazon S3 to the container, choose Pipe input mode.
To use a model for incremental training, choose File input model.
The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See Step 2: Launch a SageMaker Distributed Training Job Using the SageMaker Python SDK for more information.
The number of compute instances of type InstanceType to use. For distributed training, select a value greater than 1.
Specifies the number of instances of the instance group.
', 'ResourceConfig$InstanceCount' => 'The number of ML compute instances to use. For distributed training, provide a value greater than 1.
', ], ], 'TrainingInstanceType' => [ 'base' => NULL, 'refs' => [ 'HyperParameterTuningInstanceConfig$InstanceType' => 'The instance type used for processing of hyperparameter optimization jobs. Choose from general purpose (no GPUs) instance types: ml.m5.xlarge, ml.m5.2xlarge, and ml.m5.4xlarge or compute optimized (no GPUs) instance types: ml.c5.xlarge and ml.c5.2xlarge. For more information about instance types, see instance type descriptions.
', 'HyperParameterTuningResourceConfig$InstanceType' => 'The instance type used to run hyperparameter optimization tuning jobs. See descriptions of instance types for more information.
', 'InstanceGroup$InstanceType' => 'Specifies the instance type of the instance group.
', 'ResourceConfig$InstanceType' => 'The ML compute instance type.
SageMaker Training on Amazon Elastic Compute Cloud (EC2) P4de instances is in preview release starting December 9th, 2022.
Amazon EC2 P4de instances (currently in preview) are powered by 8 NVIDIA A100 GPUs with 80GB high-performance HBM2e GPU memory, which accelerate the speed of training ML models that need to be trained on large datasets of high-resolution data. In this preview release, Amazon SageMaker supports ML training jobs on P4de instances (ml.p4de.24xlarge) to reduce model training time. The ml.p4de.24xlarge instances are available in the following Amazon Web Services Regions.
US East (N. Virginia) (us-east-1)
US West (Oregon) (us-west-2)
To request quota limit increase and start using P4de instances, contact the SageMaker Training service team through your account team.
A list of the instance types that this algorithm can use for training.
', ], ], 'TrainingJob' => [ 'base' => 'Contains information about a training job.
', 'refs' => [ 'SearchRecord$TrainingJob' => 'The properties of a training job.
', 'TrialComponentSourceDetail$TrainingJob' => 'Information about a training job that\'s the source of a trial component.
', ], ], 'TrainingJobArn' => [ 'base' => NULL, 'refs' => [ 'CreateTrainingJobResponse$TrainingJobArn' => 'The Amazon Resource Name (ARN) of the training job.
', 'DescribeProcessingJobResponse$TrainingJobArn' => 'The ARN of a training job associated with this processing job.
', 'DescribeTrainingJobResponse$TrainingJobArn' => 'The Amazon Resource Name (ARN) of the training job.
', 'HyperParameterTrainingJobSummary$TrainingJobArn' => 'The Amazon Resource Name (ARN) of the training job.
', 'ProcessingJob$TrainingJobArn' => 'The ARN of the training job associated with this processing job.
', 'TrainingJob$TrainingJobArn' => 'The Amazon Resource Name (ARN) of the training job.
', 'TrainingJobStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the training job that was run by this step execution.
', 'TrainingJobSummary$TrainingJobArn' => 'The Amazon Resource Name (ARN) of the training job.
', 'UpdateTrainingJobResponse$TrainingJobArn' => 'The Amazon Resource Name (ARN) of the training job.
', ], ], 'TrainingJobDefinition' => [ 'base' => 'Defines the input needed to run a training job using the algorithm.
', 'refs' => [ 'AlgorithmValidationProfile$TrainingJobDefinition' => 'The TrainingJobDefinition object that describes the training job that SageMaker runs to validate your algorithm.
Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job. Because the Hyperband strategy has its own advanced internal early stopping mechanism, TrainingJobEarlyStoppingType must be OFF to use Hyperband. This parameter can take on one of the following values (the default value is OFF):
Training jobs launched by the hyperparameter tuning job do not use early stopping.
SageMaker stops training jobs launched by the hyperparameter tuning job when they are unlikely to perform better than previously completed training jobs. For more information, see Stop Training Jobs Early.
The name of the training job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.
', 'DescribeTrainingJobRequest$TrainingJobName' => 'The name of the training job.
', 'DescribeTrainingJobResponse$TrainingJobName' => 'Name of the model training job.
', 'HyperParameterTrainingJobSummary$TrainingJobName' => 'The name of the training job.
', 'StopTrainingJobRequest$TrainingJobName' => 'The name of the training job to stop.
', 'TrainingJob$TrainingJobName' => 'The name of the training job.
', 'TrainingJobSummary$TrainingJobName' => 'The name of the training job that you want a summary for.
', 'UpdateTrainingJobRequest$TrainingJobName' => 'The name of a training job to update the Debugger profiling configuration.
', 'WarmPoolStatus$ReusedByJob' => 'The name of the matching training job that reused the warm pool.
', ], ], 'TrainingJobSortByOptions' => [ 'base' => NULL, 'refs' => [ 'ListTrainingJobsForHyperParameterTuningJobRequest$SortBy' => 'The field to sort results by. The default is Name.
If the value of this field is FinalObjectiveMetricValue, any training jobs that did not return an objective metric are not listed.
The status of the training job.
SageMaker provides the following training job statuses:
InProgress - The training is in progress.
Completed - The training job has completed.
Failed - The training job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTrainingJobResponse call.
Stopping - The training job is stopping.
Stopped - The training job has stopped.
For more detailed information, see SecondaryStatus.
The status of the training job.
', 'ListTrainingJobsForHyperParameterTuningJobRequest$StatusEquals' => 'A filter that returns only training jobs with the specified status.
', 'ListTrainingJobsRequest$StatusEquals' => 'A filter that retrieves only training jobs with a specific status.
', 'TrainingJob$TrainingJobStatus' => 'The status of the training job.
Training job statuses are:
InProgress - The training is in progress.
Completed - The training job has completed.
Failed - The training job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTrainingJobResponse call.
Stopping - The training job is stopping.
Stopped - The training job has stopped.
For more detailed information, see SecondaryStatus.
The status of the training job.
', ], ], 'TrainingJobStatusCounter' => [ 'base' => NULL, 'refs' => [ 'TrainingJobStatusCounters$Completed' => 'The number of completed training jobs launched by the hyperparameter tuning job.
', 'TrainingJobStatusCounters$InProgress' => 'The number of in-progress training jobs launched by a hyperparameter tuning job.
', 'TrainingJobStatusCounters$RetryableError' => 'The number of training jobs that failed, but can be retried. A failed training job can be retried only if it failed because an internal service error occurred.
', 'TrainingJobStatusCounters$NonRetryableError' => 'The number of training jobs that failed and can\'t be retried. A failed training job can\'t be retried if it failed because a client error occurred.
', 'TrainingJobStatusCounters$Stopped' => 'The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
', ], ], 'TrainingJobStatusCounters' => [ 'base' => 'The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.
', 'refs' => [ 'DescribeHyperParameterTuningJobResponse$TrainingJobStatusCounters' => 'The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this tuning job launched.
', 'HyperParameterTuningJobSearchEntity$TrainingJobStatusCounters' => NULL, 'HyperParameterTuningJobSummary$TrainingJobStatusCounters' => 'The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.
', ], ], 'TrainingJobStepMetadata' => [ 'base' => 'Metadata for a training job step.
', 'refs' => [ 'PipelineExecutionStepMetadata$TrainingJob' => 'The Amazon Resource Name (ARN) of the training job that was run by this step execution.
', ], ], 'TrainingJobSummaries' => [ 'base' => NULL, 'refs' => [ 'ListTrainingJobsResponse$TrainingJobSummaries' => 'An array of TrainingJobSummary objects, each listing a training job.
Provides summary information about a training job.
', 'refs' => [ 'TrainingJobSummaries$member' => NULL, ], ], 'TrainingPlanArn' => [ 'base' => NULL, 'refs' => [ 'ClusterInstanceGroupDetails$TrainingPlanArn' => 'The Amazon Resource Name (ARN); of the training plan associated with this cluster instance group.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The Amazon Resource Name (ARN); of the training plan to use for this cluster instance group.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The Amazon Resource Name (ARN); of the created training plan.
', 'DescribeTrainingPlanResponse$TrainingPlanArn' => 'The Amazon Resource Name (ARN); of the training plan.
', 'ListClustersRequest$TrainingPlanArn' => 'The Amazon Resource Name (ARN); of the training plan to filter clusters by. For more information about reserving GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The Amazon Resource Name (ARN); of the training plan to filter training jobs by. For more information about reserving GPU capacity for your SageMaker training jobs using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The Amazon Resource Name (ARN); of the training plan to use for this resource configuration.
', 'TrainingJobSummary$TrainingPlanArn' => 'The Amazon Resource Name (ARN); of the training plan associated with this training job.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The Amazon Resource Name (ARN); of the training plan.
', ], ], 'TrainingPlanArns' => [ 'base' => NULL, 'refs' => [ 'ClusterSummary$TrainingPlanArns' => 'A list of Amazon Resource Names (ARNs) of the training plans associated with this cluster.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The number of whole hours in the total duration for this training plan.
', 'TrainingPlanOffering$DurationHours' => 'The number of whole hours in the total duration for this training plan offering.
', 'TrainingPlanSummary$DurationHours' => 'The number of whole hours in the total duration for this training plan.
', ], ], 'TrainingPlanDurationHoursInput' => [ 'base' => NULL, 'refs' => [ 'SearchTrainingPlanOfferingsRequest$DurationHours' => 'The desired duration in hours for the training plan offerings.
', ], ], 'TrainingPlanDurationMinutes' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingPlanResponse$DurationMinutes' => 'The additional minutes beyond whole hours in the total duration for this training plan.
', 'TrainingPlanOffering$DurationMinutes' => 'The additional minutes beyond whole hours in the total duration for this training plan offering.
', 'TrainingPlanSummary$DurationMinutes' => 'The additional minutes beyond whole hours in the total duration for this training plan.
', ], ], 'TrainingPlanFilter' => [ 'base' => 'A filter to apply when listing or searching for training plans.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The name of the filter field (e.g., Status, InstanceType).
', ], ], 'TrainingPlanFilters' => [ 'base' => NULL, 'refs' => [ 'ListTrainingPlansRequest$Filters' => 'Additional filters to apply to the list of training plans.
', ], ], 'TrainingPlanName' => [ 'base' => NULL, 'refs' => [ 'CreateTrainingPlanRequest$TrainingPlanName' => 'The name of the training plan to create.
', 'DescribeTrainingPlanRequest$TrainingPlanName' => 'The name of the training plan to describe.
', 'DescribeTrainingPlanResponse$TrainingPlanName' => 'The name of the training plan.
', 'TrainingPlanSummary$TrainingPlanName' => 'The name of the training plan.
', ], ], 'TrainingPlanOffering' => [ 'base' => 'Details about a training plan offering.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The unique identifier of the training plan offering to use for creating this plan.
', 'TrainingPlanOffering$TrainingPlanOfferingId' => 'The unique identifier for this training plan offering.
', ], ], 'TrainingPlanOfferings' => [ 'base' => NULL, 'refs' => [ 'SearchTrainingPlanOfferingsResponse$TrainingPlanOfferings' => 'A list of training plan offerings that match the search criteria.
', ], ], 'TrainingPlanSortBy' => [ 'base' => NULL, 'refs' => [ 'ListTrainingPlansRequest$SortBy' => 'The training plan field to sort the results by (e.g., StartTime, Status).
', ], ], 'TrainingPlanSortOrder' => [ 'base' => NULL, 'refs' => [ 'ListTrainingPlansRequest$SortOrder' => 'The order to sort the results (Ascending or Descending).
', ], ], 'TrainingPlanStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingPlanResponse$Status' => 'The current status of the training plan (e.g., Pending, Active, Expired). To see the complete list of status values available for a training plan, refer to the Status attribute within the TrainingPlanSummary object.
The current status of the training plan (e.g., Pending, Active, Expired). To see the complete list of status values available for a training plan, refer to the Status attribute within the TrainingPlanSummary object.
A message providing additional information about the current status of the training plan.
', 'TrainingPlanSummary$StatusMessage' => 'A message providing additional information about the current status of the training plan.
', ], ], 'TrainingPlanSummaries' => [ 'base' => NULL, 'refs' => [ 'ListTrainingPlansResponse$TrainingPlanSummaries' => 'A list of summary information for the training plans.
', ], ], 'TrainingPlanSummary' => [ 'base' => 'Details of the training plan.
For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see CreateTrainingPlan .
The method that your training job will use to gain access to the images in your private Docker registry. For access to an image in a private Docker registry, set to Vpc.
An object containing authentication information for a private Docker registry.
', 'refs' => [ 'TrainingImageConfig$TrainingRepositoryAuthConfig' => 'An object containing authentication information for a private Docker registry containing your training images.
', ], ], 'TrainingRepositoryCredentialsProviderArn' => [ 'base' => NULL, 'refs' => [ 'TrainingRepositoryAuthConfig$TrainingRepositoryCredentialsProviderArn' => 'The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function used to give SageMaker access credentials to your private Docker registry.
', ], ], 'TrainingSpecification' => [ 'base' => 'Defines how the algorithm is used for a training job.
', 'refs' => [ 'CreateAlgorithmInput$TrainingSpecification' => 'Specifies details about training jobs run by this algorithm, including the following:
The Amazon ECR path of the container and the version digest of the algorithm.
The hyperparameters that the algorithm supports.
The instance types that the algorithm supports for training.
Whether the algorithm supports distributed training.
The metrics that the algorithm emits to Amazon CloudWatch.
Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.
Details about training jobs run by this algorithm.
', ], ], 'TrainingTimeInSeconds' => [ 'base' => NULL, 'refs' => [ 'DescribeTrainingJobResponse$TrainingTimeInSeconds' => 'The training time in seconds.
', 'TrainingJob$TrainingTimeInSeconds' => 'The training time in seconds.
', ], ], 'TransformDataSource' => [ 'base' => 'Describes the location of the channel data.
', 'refs' => [ 'TransformInput$DataSource' => 'Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.
', ], ], 'TransformEnvironmentKey' => [ 'base' => NULL, 'refs' => [ 'TransformEnvironmentMap$key' => NULL, ], ], 'TransformEnvironmentMap' => [ 'base' => NULL, 'refs' => [ 'CreateTransformJobRequest$Environment' => 'The environment variables to set in the Docker container. Don\'t include any sensitive data in your environment variables. We support up to 16 key and values entries in the map.
', 'DescribeTransformJobResponse$Environment' => 'The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
', 'TransformJob$Environment' => 'The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
', 'TransformJobDefinition$Environment' => 'The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
', ], ], 'TransformEnvironmentValue' => [ 'base' => NULL, 'refs' => [ 'TransformEnvironmentMap$value' => NULL, ], ], 'TransformInput' => [ 'base' => 'Describes the input source of a transform job and the way the transform job consumes it.
', 'refs' => [ 'CreateTransformJobRequest$TransformInput' => 'Describes the input source and the way the transform job consumes it.
', 'DescribeTransformJobResponse$TransformInput' => 'Describes the dataset to be transformed and the Amazon S3 location where it is stored.
', 'TransformJob$TransformInput' => NULL, 'TransformJobDefinition$TransformInput' => 'A description of the input source and the way the transform job consumes it.
', ], ], 'TransformInstanceCount' => [ 'base' => NULL, 'refs' => [ 'TransformResources$InstanceCount' => 'The number of ML compute instances to use in the transform job. The default value is 1, and the maximum is 100. For distributed transform jobs, specify a value greater than 1.
The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types.
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
', 'InferenceSpecification$SupportedTransformInstanceTypes' => 'A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
This parameter is required for unversioned models, and optional for versioned models.
', ], ], 'TransformJob' => [ 'base' => 'A batch transform job. For information about SageMaker batch transform, see Use Batch Transform.
', 'refs' => [ 'ModelDashboardModel$LastBatchTransformJob' => NULL, 'TrialComponentSourceDetail$TransformJob' => 'Information about a transform job that\'s the source of a trial component.
', ], ], 'TransformJobArn' => [ 'base' => NULL, 'refs' => [ 'CreateTransformJobResponse$TransformJobArn' => 'The Amazon Resource Name (ARN) of the transform job.
', 'DescribeTransformJobResponse$TransformJobArn' => 'The Amazon Resource Name (ARN) of the transform job.
', 'TransformJob$TransformJobArn' => 'The Amazon Resource Name (ARN) of the transform job.
', 'TransformJobStepMetadata$Arn' => 'The Amazon Resource Name (ARN) of the transform job that was run by this step execution.
', 'TransformJobSummary$TransformJobArn' => 'The Amazon Resource Name (ARN) of the transform job.
', ], ], 'TransformJobDefinition' => [ 'base' => 'Defines the input needed to run a transform job using the inference specification specified in the algorithm.
', 'refs' => [ 'AlgorithmValidationProfile$TransformJobDefinition' => 'The TransformJobDefinition object that describes the transform job that SageMaker runs to validate your algorithm.
The TransformJobDefinition object that describes the transform job used for the validation of the model package.
The name of the transform job. The name must be unique within an Amazon Web Services Region in an Amazon Web Services account.
', 'DescribeTransformJobRequest$TransformJobName' => 'The name of the transform job that you want to view details of.
', 'DescribeTransformJobResponse$TransformJobName' => 'The name of the transform job.
', 'StopTransformJobRequest$TransformJobName' => 'The name of the batch transform job to stop.
', 'TransformJob$TransformJobName' => 'The name of the transform job.
', 'TransformJobSummary$TransformJobName' => 'The name of the transform job.
', ], ], 'TransformJobStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeTransformJobResponse$TransformJobStatus' => 'The status of the transform job. If the transform job failed, the reason is returned in the FailureReason field.
A filter that retrieves only transform jobs with a specific status.
', 'TransformJob$TransformJobStatus' => 'The status of the transform job.
Transform job statuses are:
InProgress - The job is in progress.
Completed - The job has completed.
Failed - The transform job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTransformJob call.
Stopping - The transform job is stopping.
Stopped - The transform job has stopped.
The status of the transform job.
', ], ], 'TransformJobStepMetadata' => [ 'base' => 'Metadata for a transform job step.
', 'refs' => [ 'PipelineExecutionStepMetadata$TransformJob' => 'The Amazon Resource Name (ARN) of the transform job that was run by this step execution.
', ], ], 'TransformJobSummaries' => [ 'base' => NULL, 'refs' => [ 'ListTransformJobsResponse$TransformJobSummaries' => 'An array of TransformJobSummary objects.
Provides a summary of a transform job. Multiple TransformJobSummary objects are returned as a list after in response to a ListTransformJobs call.
Describes the results of a transform job.
', 'refs' => [ 'CreateTransformJobRequest$TransformOutput' => 'Describes the results of the transform job.
', 'DescribeTransformJobResponse$TransformOutput' => 'Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
', 'TransformJob$TransformOutput' => NULL, 'TransformJobDefinition$TransformOutput' => 'Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
', ], ], 'TransformResources' => [ 'base' => 'Describes the resources, including ML instance types and ML instance count, to use for transform job.
', 'refs' => [ 'CreateTransformJobRequest$TransformResources' => 'Describes the resources, including ML instance types and ML instance count, to use for the transform job.
', 'DescribeTransformJobResponse$TransformResources' => 'Describes the resources, including ML instance types and ML instance count, to use for the transform job.
', 'TransformJob$TransformResources' => NULL, 'TransformJobDefinition$TransformResources' => 'Identifies the ML compute instances for the transform job.
', ], ], 'TransformS3DataSource' => [ 'base' => 'Describes the S3 data source.
', 'refs' => [ 'TransformDataSource$S3DataSource' => 'The S3 location of the data source that is associated with a channel.
', ], ], 'TransformationAttributeName' => [ 'base' => NULL, 'refs' => [ 'AggregationTransformations$key' => NULL, 'FillingTransformations$key' => NULL, ], ], 'Trial' => [ 'base' => 'The properties of a trial as returned by the Search API.
', 'refs' => [ 'SearchRecord$Trial' => 'The properties of a trial.
', ], ], 'TrialArn' => [ 'base' => NULL, 'refs' => [ 'AssociateTrialComponentResponse$TrialArn' => 'The Amazon Resource Name (ARN) of the trial.
', 'CreateTrialResponse$TrialArn' => 'The Amazon Resource Name (ARN) of the trial.
', 'DeleteTrialResponse$TrialArn' => 'The Amazon Resource Name (ARN) of the trial that is being deleted.
', 'DescribeTrialResponse$TrialArn' => 'The Amazon Resource Name (ARN) of the trial.
', 'DisassociateTrialComponentResponse$TrialArn' => 'The Amazon Resource Name (ARN) of the trial.
', 'Trial$TrialArn' => 'The Amazon Resource Name (ARN) of the trial.
', 'TrialSummary$TrialArn' => 'The Amazon Resource Name (ARN) of the trial.
', 'UpdateTrialResponse$TrialArn' => 'The Amazon Resource Name (ARN) of the trial.
', ], ], 'TrialComponent' => [ 'base' => 'The properties of a trial component as returned by the Search API.
', 'refs' => [ 'SearchRecord$TrialComponent' => 'The properties of a trial component.
', ], ], 'TrialComponentArn' => [ 'base' => NULL, 'refs' => [ 'AssociateTrialComponentResponse$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the trial component.
', 'CreateTrialComponentResponse$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the trial component.
', 'DeleteTrialComponentResponse$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the component is being deleted.
', 'DescribeTrialComponentResponse$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the trial component.
', 'DisassociateTrialComponentResponse$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the trial component.
', 'TrialComponent$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the trial component.
', 'TrialComponentSimpleSummary$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the trial component.
', 'TrialComponentSummary$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the trial component.
', 'UpdateTrialComponentResponse$TrialComponentArn' => 'The Amazon Resource Name (ARN) of the trial component.
', ], ], 'TrialComponentArtifact' => [ 'base' => 'Represents an input or output artifact of a trial component. You specify TrialComponentArtifact as part of the InputArtifacts and OutputArtifacts parameters in the CreateTrialComponent request.
Examples of input artifacts are datasets, algorithms, hyperparameters, source code, and instance types. Examples of output artifacts are metrics, snapshots, logs, and images.
', 'refs' => [ 'TrialComponentArtifacts$value' => NULL, ], ], 'TrialComponentArtifactValue' => [ 'base' => NULL, 'refs' => [ 'TrialComponentArtifact$Value' => 'The location of the artifact.
', ], ], 'TrialComponentArtifacts' => [ 'base' => NULL, 'refs' => [ 'CreateTrialComponentRequest$InputArtifacts' => 'The input artifacts for the component. Examples of input artifacts are datasets, algorithms, hyperparameters, source code, and instance types.
', 'CreateTrialComponentRequest$OutputArtifacts' => 'The output artifacts for the component. Examples of output artifacts are metrics, snapshots, logs, and images.
', 'DescribeTrialComponentResponse$InputArtifacts' => 'The input artifacts of the component.
', 'DescribeTrialComponentResponse$OutputArtifacts' => 'The output artifacts of the component.
', 'TrialComponent$InputArtifacts' => 'The input artifacts of the component.
', 'TrialComponent$OutputArtifacts' => 'The output artifacts of the component.
', 'UpdateTrialComponentRequest$InputArtifacts' => 'Replaces all of the component\'s input artifacts with the specified artifacts or adds new input artifacts. Existing input artifacts are replaced if the trial component is updated with an identical input artifact key.
', 'UpdateTrialComponentRequest$OutputArtifacts' => 'Replaces all of the component\'s output artifacts with the specified artifacts or adds new output artifacts. Existing output artifacts are replaced if the trial component is updated with an identical output artifact key.
', ], ], 'TrialComponentKey128' => [ 'base' => NULL, 'refs' => [ 'TrialComponentArtifacts$key' => NULL, ], ], 'TrialComponentKey256' => [ 'base' => NULL, 'refs' => [ 'ListTrialComponentKey256$member' => NULL, ], ], 'TrialComponentKey320' => [ 'base' => NULL, 'refs' => [ 'TrialComponentParameters$key' => NULL, ], ], 'TrialComponentMetricSummaries' => [ 'base' => NULL, 'refs' => [ 'DescribeTrialComponentResponse$Metrics' => 'The metrics for the component.
', 'TrialComponent$Metrics' => 'The metrics for the component.
', ], ], 'TrialComponentMetricSummary' => [ 'base' => 'A summary of the metrics of a trial component.
', 'refs' => [ 'TrialComponentMetricSummaries$member' => NULL, ], ], 'TrialComponentParameterValue' => [ 'base' => 'The value of a hyperparameter. Only one of NumberValue or StringValue can be specified.
This object is specified in the CreateTrialComponent request.
', 'refs' => [ 'TrialComponentParameters$value' => NULL, ], ], 'TrialComponentParameters' => [ 'base' => NULL, 'refs' => [ 'CreateTrialComponentRequest$Parameters' => 'The hyperparameters for the component.
', 'DescribeTrialComponentResponse$Parameters' => 'The hyperparameters of the component.
', 'TrialComponent$Parameters' => 'The hyperparameters of the component.
', 'UpdateTrialComponentRequest$Parameters' => 'Replaces all of the component\'s hyperparameters with the specified hyperparameters or add new hyperparameters. Existing hyperparameters are replaced if the trial component is updated with an identical hyperparameter key.
', ], ], 'TrialComponentPrimaryStatus' => [ 'base' => NULL, 'refs' => [ 'TrialComponentStatus$PrimaryStatus' => 'The status of the trial component.
', ], ], 'TrialComponentSimpleSummaries' => [ 'base' => NULL, 'refs' => [ 'Trial$TrialComponentSummaries' => 'A list of the components associated with the trial. For each component, a summary of the component\'s properties is included.
', ], ], 'TrialComponentSimpleSummary' => [ 'base' => 'A short summary of a trial component.
', 'refs' => [ 'TrialComponentSimpleSummaries$member' => NULL, ], ], 'TrialComponentSource' => [ 'base' => 'The Amazon Resource Name (ARN) and job type of the source of a trial component.
', 'refs' => [ 'DescribeTrialComponentResponse$Source' => 'The Amazon Resource Name (ARN) of the source and, optionally, the job type.
', 'TrialComponent$Source' => 'The Amazon Resource Name (ARN) and job type of the source of the component.
', 'TrialComponentSimpleSummary$TrialComponentSource' => NULL, 'TrialComponentSources$member' => NULL, 'TrialComponentSummary$TrialComponentSource' => NULL, ], ], 'TrialComponentSourceArn' => [ 'base' => NULL, 'refs' => [ 'TrialComponentMetricSummary$SourceArn' => 'The Amazon Resource Name (ARN) of the source.
', 'TrialComponentSource$SourceArn' => 'The source Amazon Resource Name (ARN).
', 'TrialComponentSourceDetail$SourceArn' => 'The Amazon Resource Name (ARN) of the source.
', ], ], 'TrialComponentSourceDetail' => [ 'base' => 'Detailed information about the source of a trial component. Either ProcessingJob or TrainingJob is returned.
Details of the source of the component.
', ], ], 'TrialComponentSources' => [ 'base' => NULL, 'refs' => [ 'DescribeTrialComponentResponse$Sources' => 'A list of ARNs and, if applicable, job types for multiple sources of an experiment run.
', ], ], 'TrialComponentStatus' => [ 'base' => 'The status of the trial component.
', 'refs' => [ 'CreateTrialComponentRequest$Status' => 'The status of the component. States include:
InProgress
Completed
Failed
The status of the component. States include:
InProgress
Completed
Failed
The status of the component. States include:
InProgress
Completed
Failed
The new status of the component.
', ], ], 'TrialComponentStatusMessage' => [ 'base' => NULL, 'refs' => [ 'TrialComponentStatus$Message' => 'If the component failed, a message describing why.
', ], ], 'TrialComponentSummaries' => [ 'base' => NULL, 'refs' => [ 'ListTrialComponentsResponse$TrialComponentSummaries' => 'A list of the summaries of your trial components.
', ], ], 'TrialComponentSummary' => [ 'base' => 'A summary of the properties of a trial component. To get all the properties, call the DescribeTrialComponent API and provide the TrialComponentName.
The source of the trial.
', 'refs' => [ 'DescribeTrialResponse$Source' => 'The Amazon Resource Name (ARN) of the source and, optionally, the job type.
', 'Trial$Source' => NULL, 'TrialSummary$TrialSource' => NULL, ], ], 'TrialSourceArn' => [ 'base' => NULL, 'refs' => [ 'TrialSource$SourceArn' => 'The Amazon Resource Name (ARN) of the source.
', ], ], 'TrialSummaries' => [ 'base' => NULL, 'refs' => [ 'ListTrialsResponse$TrialSummaries' => 'A list of the summaries of your trials.
', ], ], 'TrialSummary' => [ 'base' => 'A summary of the properties of a trial. To get the complete set of properties, call the DescribeTrial API and provide the TrialName.
Time to live duration, where the record is hard deleted after the expiration time is reached; ExpiresAt = EventTime + TtlDuration. For information on HardDelete, see the DeleteRecord API in the Amazon SageMaker API Reference guide.
Time to live duration, where the record is hard deleted after the expiration time is reached; ExpiresAt = EventTime + TtlDuration. For information on HardDelete, see the DeleteRecord API in the Amazon SageMaker API Reference guide.
Time to live duration, where the record is hard deleted after the expiration time is reached; ExpiresAt = EventTime + TtlDuration. For information on HardDelete, see the DeleteRecord API in the Amazon SageMaker API Reference guide.
TtlDuration time unit.
TtlDuration time value.
The job completion criteria.
', 'refs' => [ 'HyperParameterTuningJobConfig$TuningJobCompletionCriteria' => 'The tuning job\'s completion criteria.
', ], ], 'TuningJobStepMetaData' => [ 'base' => 'Metadata for a tuning step.
', 'refs' => [ 'PipelineExecutionStepMetadata$TuningJob' => 'The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.
', ], ], 'USD' => [ 'base' => 'Represents an amount of money in United States dollars.
', 'refs' => [ 'PublicWorkforceTaskPrice$AmountInUsd' => 'Defines the amount of money paid to an Amazon Mechanical Turk worker in United States dollars.
', ], ], 'UiConfig' => [ 'base' => 'Provided configuration information for the worker UI for a labeling job. Provide either HumanTaskUiArn or UiTemplateS3Uri.
For named entity recognition, 3D point cloud and video frame labeling jobs, use HumanTaskUiArn.
For all other Ground Truth built-in task types and custom task types, use UiTemplateS3Uri to specify the location of a worker task template in Amazon S3.
Information about the user interface that workers use to complete the labeling task.
', ], ], 'UiTemplate' => [ 'base' => 'The Liquid template for the worker user interface.
', 'refs' => [ 'CreateHumanTaskUiRequest$UiTemplate' => NULL, 'RenderUiTemplateRequest$UiTemplate' => 'A Template object containing the worker UI template to render.
Container for user interface template information.
', 'refs' => [ 'DescribeHumanTaskUiResponse$UiTemplate' => NULL, ], ], 'Uid' => [ 'base' => NULL, 'refs' => [ 'CustomPosixUserConfig$Uid' => 'The POSIX user ID.
', ], ], 'UpdateActionRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateActionResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateAppImageConfigRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateAppImageConfigResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateArtifactRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateArtifactResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateClusterRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateClusterResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateClusterSchedulerConfigRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateClusterSchedulerConfigResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateClusterSoftwareRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateClusterSoftwareResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateCodeRepositoryInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateCodeRepositoryOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateComputeQuotaRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateComputeQuotaResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateContextRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateContextResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateDeviceFleetRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateDevicesRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateDomainRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateDomainResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateEndpointInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateEndpointOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateEndpointWeightsAndCapacitiesInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateEndpointWeightsAndCapacitiesOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateExperimentRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateExperimentResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateFeatureGroupRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateFeatureGroupResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateFeatureMetadataRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateHubRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateHubResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateImageRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateImageResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateImageVersionRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateImageVersionResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateInferenceComponentInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateInferenceComponentOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateInferenceComponentRuntimeConfigInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateInferenceComponentRuntimeConfigOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateInferenceExperimentRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateInferenceExperimentResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateMlflowTrackingServerRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateMlflowTrackingServerResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateModelCardRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateModelCardResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateModelPackageInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateModelPackageOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateMonitoringAlertRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateMonitoringAlertResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateMonitoringScheduleRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateMonitoringScheduleResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateNotebookInstanceInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateNotebookInstanceLifecycleConfigInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateNotebookInstanceLifecycleConfigOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateNotebookInstanceOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdatePartnerAppRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdatePartnerAppResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdatePipelineExecutionRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdatePipelineExecutionResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdatePipelineRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdatePipelineResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateProjectInput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateProjectOutput' => [ 'base' => NULL, 'refs' => [], ], 'UpdateSpaceRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateSpaceResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateTrainingJobRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateTrainingJobResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateTrialComponentRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateTrialComponentResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateTrialRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateTrialResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateUserProfileRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateUserProfileResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateWorkforceRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateWorkforceResponse' => [ 'base' => NULL, 'refs' => [], ], 'UpdateWorkteamRequest' => [ 'base' => NULL, 'refs' => [], ], 'UpdateWorkteamResponse' => [ 'base' => NULL, 'refs' => [], ], 'Url' => [ 'base' => NULL, 'refs' => [ 'AutoMLContainerDefinition$ModelDataUrl' => 'The location of the model artifacts. For more information, see ContainerDefinition.
', 'ClarifyShapBaselineConfig$ShapBaselineUri' => 'The uniform resource identifier (URI) of the S3 bucket where the SHAP baseline file is stored. The format of the SHAP baseline file should be the same format as the format of the training dataset. For example, if the training dataset is in CSV format, and each record in the training dataset has four features, and all features are numerical, then the baseline file should also have this same format. Each record should contain only the features. If you are using a virtual private cloud (VPC), the ShapBaselineUri should be accessible to the VPC. For more information about setting up endpoints with Amazon Virtual Private Cloud, see Give SageMaker access to Resources in your Amazon Virtual Private Cloud.
The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix). The S3 path is required for SageMaker built-in algorithms, but not if you use your own algorithms. For more information on built-in algorithms, see Common Parameters.
The model artifacts must be in an S3 bucket that is in the same region as the model or endpoint you are creating.
If you provide a value for this parameter, SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provide. Amazon Web Services STS is activated in your Amazon Web Services account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.
If you use a built-in algorithm to create a model, SageMaker requires that you provide a S3 path to the model artifacts in ModelDataUrl.
The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
', 'InferenceComponentContainerSpecificationSummary$ArtifactUrl' => 'The Amazon S3 path where the model artifacts are stored.
', 'ModelPackageContainerDefinition$ModelDataUrl' => 'The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
The model artifacts must be in an S3 bucket that is in the same region as the model package.
The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
The model artifacts must be in an S3 bucket that is in the same Amazon Web Services region as the algorithm.
Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.
', 'refs' => [ 'AssociationSummary$CreatedBy' => NULL, 'DescribeActionResponse$CreatedBy' => NULL, 'DescribeActionResponse$LastModifiedBy' => NULL, 'DescribeArtifactResponse$CreatedBy' => NULL, 'DescribeArtifactResponse$LastModifiedBy' => NULL, 'DescribeClusterSchedulerConfigResponse$CreatedBy' => NULL, 'DescribeClusterSchedulerConfigResponse$LastModifiedBy' => NULL, 'DescribeComputeQuotaResponse$CreatedBy' => NULL, 'DescribeComputeQuotaResponse$LastModifiedBy' => NULL, 'DescribeContextResponse$CreatedBy' => NULL, 'DescribeContextResponse$LastModifiedBy' => NULL, 'DescribeExperimentResponse$CreatedBy' => 'Who created the experiment.
', 'DescribeExperimentResponse$LastModifiedBy' => 'Who last modified the experiment.
', 'DescribeLineageGroupResponse$CreatedBy' => NULL, 'DescribeLineageGroupResponse$LastModifiedBy' => NULL, 'DescribeMlflowTrackingServerResponse$CreatedBy' => NULL, 'DescribeMlflowTrackingServerResponse$LastModifiedBy' => NULL, 'DescribeModelCardResponse$CreatedBy' => NULL, 'DescribeModelCardResponse$LastModifiedBy' => NULL, 'DescribeModelPackageGroupOutput$CreatedBy' => NULL, 'DescribeModelPackageOutput$CreatedBy' => NULL, 'DescribeModelPackageOutput$LastModifiedBy' => NULL, 'DescribePipelineExecutionResponse$CreatedBy' => NULL, 'DescribePipelineExecutionResponse$LastModifiedBy' => NULL, 'DescribePipelineResponse$CreatedBy' => NULL, 'DescribePipelineResponse$LastModifiedBy' => NULL, 'DescribeProjectOutput$CreatedBy' => NULL, 'DescribeProjectOutput$LastModifiedBy' => NULL, 'DescribeTrialComponentResponse$CreatedBy' => 'Who created the trial component.
', 'DescribeTrialComponentResponse$LastModifiedBy' => 'Who last modified the component.
', 'DescribeTrialResponse$CreatedBy' => 'Who created the trial.
', 'DescribeTrialResponse$LastModifiedBy' => 'Who last modified the trial.
', 'Experiment$CreatedBy' => 'Who created the experiment.
', 'Experiment$LastModifiedBy' => NULL, 'ModelCard$CreatedBy' => NULL, 'ModelCard$LastModifiedBy' => NULL, 'ModelDashboardModelCard$CreatedBy' => NULL, 'ModelDashboardModelCard$LastModifiedBy' => NULL, 'ModelPackage$CreatedBy' => 'Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.
', 'ModelPackage$LastModifiedBy' => 'Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.
', 'ModelPackageGroup$CreatedBy' => NULL, 'Pipeline$CreatedBy' => NULL, 'Pipeline$LastModifiedBy' => NULL, 'PipelineExecution$CreatedBy' => NULL, 'PipelineExecution$LastModifiedBy' => NULL, 'Project$CreatedBy' => 'Who created the project.
', 'Project$LastModifiedBy' => NULL, 'Trial$CreatedBy' => 'Who created the trial.
', 'Trial$LastModifiedBy' => NULL, 'TrialComponent$CreatedBy' => 'Who created the trial component.
', 'TrialComponent$LastModifiedBy' => NULL, 'TrialComponentSimpleSummary$CreatedBy' => NULL, 'TrialComponentSummary$CreatedBy' => 'Who created the trial component.
', 'TrialComponentSummary$LastModifiedBy' => 'Who last modified the component.
', ], ], 'UserProfileArn' => [ 'base' => NULL, 'refs' => [ 'CreateUserProfileResponse$UserProfileArn' => 'The user profile Amazon Resource Name (ARN).
', 'DescribeUserProfileResponse$UserProfileArn' => 'The user profile Amazon Resource Name (ARN).
', 'UpdateUserProfileResponse$UserProfileArn' => 'The user profile Amazon Resource Name (ARN).
', ], ], 'UserProfileDetails' => [ 'base' => 'The user profile details.
', 'refs' => [ 'UserProfileList$member' => NULL, ], ], 'UserProfileList' => [ 'base' => NULL, 'refs' => [ 'ListUserProfilesResponse$UserProfiles' => 'The list of user profiles.
', ], ], 'UserProfileName' => [ 'base' => NULL, 'refs' => [ 'AppDetails$UserProfileName' => 'The user profile name.
', 'CreateAppRequest$UserProfileName' => 'The user profile name. If this value is not set, then SpaceName must be set.
The name of the UserProfile to sign-in as.
', 'CreateUserProfileRequest$UserProfileName' => 'A name for the UserProfile. This value is not case sensitive.
', 'DeleteAppRequest$UserProfileName' => 'The user profile name. If this value is not set, then SpaceName must be set.
The user profile name.
', 'DescribeAppRequest$UserProfileName' => 'The user profile name. If this value is not set, then SpaceName must be set.
The user profile name.
', 'DescribeUserProfileRequest$UserProfileName' => 'The user profile name. This value is not case sensitive.
', 'DescribeUserProfileResponse$UserProfileName' => 'The user profile name.
', 'ListAppsRequest$UserProfileNameEquals' => 'A parameter to search by user profile name. If SpaceNameEquals is set, then this value cannot be set.
A parameter by which to filter the results.
', 'OwnershipSettings$OwnerUserProfileName' => 'The user profile who is the owner of the space.
', 'OwnershipSettingsSummary$OwnerUserProfileName' => 'The user profile who is the owner of the space.
', 'UpdateUserProfileRequest$UserProfileName' => 'The user profile name.
', 'UserProfileDetails$UserProfileName' => 'The user profile name.
', ], ], 'UserProfileSortKey' => [ 'base' => NULL, 'refs' => [ 'ListUserProfilesRequest$SortBy' => 'The parameter by which to sort the results. The default is CreationTime.
', ], ], 'UserProfileStatus' => [ 'base' => NULL, 'refs' => [ 'DescribeUserProfileResponse$Status' => 'The status.
', 'UserProfileDetails$Status' => 'The status.
', ], ], 'UserSettings' => [ 'base' => 'A collection of settings that apply to users in a domain. These settings are specified when the CreateUserProfile API is called, and as DefaultUserSettings when the CreateDomain API is called.
SecurityGroups is aggregated when specified in both calls. For all other settings in UserSettings, the values specified in CreateUserProfile take precedence over those specified in CreateDomain.
The default settings to use to create a user profile when UserSettings isn\'t specified in the call to the CreateUserProfile API.
SecurityGroups is aggregated when specified in both calls. For all other settings in UserSettings, the values specified in CreateUserProfile take precedence over those specified in CreateDomain.
A collection of settings.
', 'DescribeDomainResponse$DefaultUserSettings' => 'Settings which are applied to UserProfiles in this domain if settings are not explicitly specified in a given UserProfile.
', 'DescribeUserProfileResponse$UserSettings' => 'A collection of settings.
', 'UpdateDomainRequest$DefaultUserSettings' => 'A collection of settings.
', 'UpdateUserProfileRequest$UserSettings' => 'A collection of settings.
', ], ], 'UsersPerStep' => [ 'base' => NULL, 'refs' => [ 'Stairs$UsersPerStep' => 'Specifies how many new users to spawn in each step.
', ], ], 'UtilizationMetric' => [ 'base' => NULL, 'refs' => [ 'RecommendationMetrics$CpuUtilization' => 'The expected CPU utilization at maximum invocations per minute for the instance.
NaN indicates that the value is not available.
The expected memory utilization at maximum invocations per minute for the instance.
NaN indicates that the value is not available.
The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.
', 'GetScalingConfigurationRecommendationResponse$TargetCpuUtilizationPerCore' => 'The percentage of how much utilization you want an instance to use before autoscaling, which you specified in the request. The default value is 50%.
', ], ], 'ValidationFraction' => [ 'base' => NULL, 'refs' => [ 'AutoMLDataSplitConfig$ValidationFraction' => 'The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation. The default value is 0.2, and values must be greater than 0 and less than 1. We recommend setting this value to be less than 0.5.
', ], ], 'VariantName' => [ 'base' => NULL, 'refs' => [ 'CreateInferenceComponentInput$VariantName' => 'The name of an existing production variant where you host the inference component.
', 'DescribeInferenceComponentOutput$VariantName' => 'The name of the production variant that hosts the inference component.
', 'DesiredWeightAndCapacity$VariantName' => 'The name of the variant to update.
', 'InferenceComponentSummary$VariantName' => 'The name of the production variant that hosts the inference component.
', 'ListInferenceComponentsInput$VariantNameEquals' => 'A production variant name to filter the listed inference components. The response includes only those inference components that are hosted at the specified variant.
', 'PendingProductionVariantSummary$VariantName' => 'The name of the variant.
', 'ProductionVariant$VariantName' => 'The name of the production variant.
', 'ProductionVariantSummary$VariantName' => 'The name of the variant.
', ], ], 'VariantProperty' => [ 'base' => 'Specifies a production variant property type for an Endpoint.
If you are updating an endpoint with the RetainAllVariantProperties option of UpdateEndpointInput set to true, the VariantProperty objects listed in the ExcludeRetainedVariantProperties parameter of UpdateEndpointInput override the existing variant properties of the endpoint.
When you are updating endpoint resources with RetainAllVariantProperties, whose value is set to true, ExcludeRetainedVariantProperties specifies the list of type VariantProperty to override with the values provided by EndpointConfig. If you don\'t specify a value for ExcludeRetainedVariantProperties, no variant properties are overridden.
The type of variant property. The supported values are:
DesiredInstanceCount: Overrides the existing variant instance counts using the InitialInstanceCount values in the ProductionVariants of CreateEndpointConfig.
DesiredWeight: Overrides the existing variant weights using the InitialVariantWeight values in the ProductionVariants of CreateEndpointConfig.
DataCaptureConfig: (Not currently supported.)
The endpoint variant status which describes the current deployment stage status or operational status.
Creating: Creating inference resources for the production variant.
Deleting: Terminating inference resources for the production variant.
Updating: Updating capacity for the production variant.
ActivatingTraffic: Turning on traffic for the production variant.
Baking: Waiting period to monitor the CloudWatch alarms in the automatic rollback configuration.
A message that describes the status of the production variant.
', ], ], 'VariantWeight' => [ 'base' => NULL, 'refs' => [ 'DesiredWeightAndCapacity$DesiredWeight' => 'The variant\'s weight.
', 'PendingProductionVariantSummary$CurrentWeight' => 'The weight associated with the variant.
', 'PendingProductionVariantSummary$DesiredWeight' => 'The requested weight for the variant in this deployment, as specified in the endpoint configuration for the endpoint. The value is taken from the request to the CreateEndpointConfig operation.
', 'ProductionVariant$InitialVariantWeight' => 'Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.
The weight associated with the variant.
', 'ProductionVariantSummary$DesiredWeight' => 'The requested weight, as specified in the UpdateEndpointWeightsAndCapacities request.
Configuration for your vector collection type.
', 'refs' => [ 'CollectionConfig$VectorConfig' => 'Configuration for your vector collection type.
Dimension: The number of elements in your vector.
The stability of the image version, specified by the maintainer.
NOT_PROVIDED: The maintainers did not provide a status for image version stability.
STABLE: The image version is stable.
TO_BE_ARCHIVED: The image version is set to be archived. Custom image versions that are set to be archived are automatically archived after three months.
ARCHIVED: The image version is archived. Archived image versions are not searchable and are no longer actively supported.
The stability of the image version specified by the maintainer.
NOT_PROVIDED: The maintainers did not provide a status for image version stability.
STABLE: The image version is stable.
TO_BE_ARCHIVED: The image version is set to be archived. Custom image versions that are set to be archived are automatically archived after three months.
ARCHIVED: The image version is archived. Archived image versions are not searchable and are no longer actively supported.
The availability of the image version specified by the maintainer.
NOT_PROVIDED: The maintainers did not provide a status for image version stability.
STABLE: The image version is stable.
TO_BE_ARCHIVED: The image version is set to be archived. Custom image versions that are set to be archived are automatically archived after three months.
ARCHIVED: The image version is archived. Archived image versions are not searchable and are no longer actively supported.
The version aliases you are hiding from the Studio user interface.
', ], ], 'VersionId' => [ 'base' => NULL, 'refs' => [ 'PipelineDefinitionS3Location$VersionId' => 'Version Id of the pipeline definition file. If not specified, Amazon SageMaker will retrieve the latest version.
', ], ], 'VersionedArnOrName' => [ 'base' => NULL, 'refs' => [ 'ContainerDefinition$ModelPackageName' => 'The name or Amazon Resource Name (ARN) of the model package to use to create the model.
', 'DeleteModelPackageInput$ModelPackageName' => 'The name or Amazon Resource Name (ARN) of the model package to delete.
When you specify a name, the name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
', 'DescribeModelPackageInput$ModelPackageName' => 'The name or Amazon Resource Name (ARN) of the model package to describe.
When you specify a name, the name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
', ], ], 'Vertex' => [ 'base' => 'A lineage entity connected to the starting entity(ies).
', 'refs' => [ 'Vertices$member' => NULL, ], ], 'Vertices' => [ 'base' => NULL, 'refs' => [ 'QueryLineageResponse$Vertices' => 'A list of vertices connected to the start entity(ies) in the lineage graph.
', ], ], 'VisibilityConditions' => [ 'base' => 'The list of key-value pairs used to filter your search results. If a search result contains a key from your list, it is included in the final search response if the value associated with the key in the result matches the value you specified. If the value doesn\'t match, the result is excluded from the search response. Any resources that don\'t have a key from the list that you\'ve provided will also be included in the search response.
', 'refs' => [ 'VisibilityConditionsList$member' => NULL, ], ], 'VisibilityConditionsKey' => [ 'base' => NULL, 'refs' => [ 'VisibilityConditions$Key' => 'The key that specifies the tag that you\'re using to filter the search results. It must be in the following format: Tags.<key>.
Limits the results of your search request to the resources that you can access.
', ], ], 'VisibilityConditionsValue' => [ 'base' => NULL, 'refs' => [ 'VisibilityConditions$Value' => 'The value for the tag that you\'re using to filter the search results.
', ], ], 'VolumeSizeInGB' => [ 'base' => NULL, 'refs' => [ 'HyperParameterTuningInstanceConfig$VolumeSizeInGB' => 'The volume size in GB of the data to be processed for hyperparameter optimization (optional).
', 'ResourceConfig$VolumeSizeInGB' => 'The size of the ML storage volume that you want to provision.
ML storage volumes store model artifacts and incremental states. Training algorithms might also use the ML storage volume for scratch space. If you want to store the training data in the ML storage volume, choose File as the TrainingInputMode in the algorithm specification.
When using an ML instance with NVMe SSD volumes, SageMaker doesn\'t provision Amazon EBS General Purpose SSD (gp2) storage. Available storage is fixed to the NVMe-type instance\'s storage capacity. SageMaker configures storage paths for training datasets, checkpoints, model artifacts, and outputs to use the entire capacity of the instance storage. For example, ML instance families with the NVMe-type instance storage include ml.p4d, ml.g4dn, and ml.g5.
When using an ML instance with the EBS-only storage option and without instance storage, you must define the size of EBS volume through VolumeSizeInGB in the ResourceConfig API. For example, ML instance families that use EBS volumes include ml.c5 and ml.p2.
To look up instance types and their instance storage types and volumes, see Amazon EC2 Instance Types.
To find the default local paths defined by the SageMaker training platform, see Amazon SageMaker Training Storage Folders for Training Datasets, Checkpoints, Model Artifacts, and Outputs.
', ], ], 'VpcConfig' => [ 'base' => 'Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to. You can control access to and from your resources by configuring a VPC. For more information, see Give SageMaker Access to Resources in your Amazon VPC.
', 'refs' => [ 'AutoMLSecurityConfig$VpcConfig' => 'The VPC configuration.
', 'ClusterInstanceGroupDetails$OverrideVpcConfig' => NULL, 'ClusterInstanceGroupSpecification$OverrideVpcConfig' => NULL, 'ClusterNodeDetails$OverrideVpcConfig' => NULL, 'CreateClusterRequest$VpcConfig' => NULL, 'CreateEndpointConfigInput$VpcConfig' => NULL, 'CreateModelInput$VpcConfig' => 'A VpcConfig object that specifies the VPC that you want your model to connect to. Control access to and from your model container by configuring the VPC. VpcConfig is used in hosting services and in batch transform. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud and Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud.
A VpcConfig object that specifies the VPC that you want your training job to connect to. Control access to and from your training container by configuring the VPC. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
', 'DescribeClusterResponse$VpcConfig' => NULL, 'DescribeEndpointConfigOutput$VpcConfig' => NULL, 'DescribeModelOutput$VpcConfig' => 'A VpcConfig object that specifies the VPC that this model has access to. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud
', 'DescribeTrainingJobResponse$VpcConfig' => 'A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
', 'HyperParameterTrainingJobDefinition$VpcConfig' => 'The VpcConfig object that specifies the VPC that you want the training jobs that this hyperparameter tuning job launches to connect to. Control access to and from your training container by configuring the VPC. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
', 'LabelingJobResourceConfig$VpcConfig' => NULL, 'Model$VpcConfig' => NULL, 'MonitoringNetworkConfig$VpcConfig' => NULL, 'NetworkConfig$VpcConfig' => NULL, 'TrainingJob$VpcConfig' => 'A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
', ], ], 'VpcId' => [ 'base' => NULL, 'refs' => [ 'CreateDomainRequest$VpcId' => 'The ID of the Amazon Virtual Private Cloud (VPC) that the domain uses for communication.
', 'DescribeDomainResponse$VpcId' => 'The ID of the Amazon Virtual Private Cloud (VPC) that the domain uses for communication.
', ], ], 'VpcOnlyTrustedAccounts' => [ 'base' => NULL, 'refs' => [ 'DockerSettings$VpcOnlyTrustedAccounts' => 'The list of Amazon Web Services accounts that are trusted when the domain is created in VPC-only mode.
', ], ], 'VpcSecurityGroupIds' => [ 'base' => NULL, 'refs' => [ 'VpcConfig$SecurityGroupIds' => 'The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
The length of the baking period, during which SageMaker monitors alarms for each batch on the new fleet.
', 'TrafficRoutingConfig$WaitIntervalInSeconds' => 'The waiting time (in seconds) between incremental steps to turn on traffic on the new endpoint fleet.
', ], ], 'WarmPoolResourceStatus' => [ 'base' => NULL, 'refs' => [ 'ListTrainingJobsRequest$WarmPoolStatusEquals' => 'A filter that retrieves only training jobs with a specific warm pool status.
', 'WarmPoolStatus$Status' => 'The status of the warm pool.
InUse: The warm pool is in use for the training job.
Available: The warm pool is available to reuse for a matching training job.
Reused: The warm pool moved to a matching training job for reuse.
Terminated: The warm pool is no longer available. Warm pools are unavailable if they are terminated by a user, terminated for a patch update, or terminated for exceeding the specified KeepAlivePeriodInSeconds.
Status and billing information about the warm pool.
', 'refs' => [ 'DescribeTrainingJobResponse$WarmPoolStatus' => 'The status of the warm pool associated with the training job.
', 'TrainingJobSummary$WarmPoolStatus' => 'The status of the warm pool associated with the training job.
', ], ], 'WeeklyMaintenanceWindowStart' => [ 'base' => NULL, 'refs' => [ 'CreateMlflowTrackingServerRequest$WeeklyMaintenanceWindowStart' => 'The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: TUE:03:30.
', 'DescribeMlflowTrackingServerResponse$WeeklyMaintenanceWindowStart' => 'The day and time of the week when weekly maintenance occurs on the described tracking server.
', 'UpdateMlflowTrackingServerRequest$WeeklyMaintenanceWindowStart' => 'The new weekly maintenance window start day and time to update. The maintenance window day and time should be in Coordinated Universal Time (UTC) 24-hour standard time. For example: TUE:03:30.
', ], ], 'WeeklyScheduleTimeFormat' => [ 'base' => NULL, 'refs' => [ 'PartnerAppMaintenanceConfig$MaintenanceWindowStart' => 'The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. This value must take the following format: 3-letter-day:24-h-hour:minute. For example: TUE:03:30.
Use this optional parameter to constrain access to an Amazon S3 resource based on the IP address using supported IAM global condition keys. The Amazon S3 resource is accessed in the worker portal using a Amazon S3 presigned URL.
', 'refs' => [ 'CreateWorkteamRequest$WorkerAccessConfiguration' => 'Use this optional parameter to constrain access to an Amazon S3 resource based on the IP address using supported IAM global condition keys. The Amazon S3 resource is accessed in the worker portal using a Amazon S3 presigned URL.
', 'UpdateWorkteamRequest$WorkerAccessConfiguration' => 'Use this optional parameter to constrain access to an Amazon S3 resource based on the IP address using supported IAM global condition keys. The Amazon S3 resource is accessed in the worker portal using a Amazon S3 presigned URL.
', 'Workteam$WorkerAccessConfiguration' => 'Describes any access constraints that have been defined for Amazon S3 resources.
', ], ], 'Workforce' => [ 'base' => 'A single private workforce, which is automatically created when you create your first private work team. You can create one private work force in each Amazon Web Services Region. By default, any workforce-related API operation used in a specific region will apply to the workforce created in that region. To learn how to create a private workforce, see Create a Private Workforce.
', 'refs' => [ 'DescribeWorkforceResponse$Workforce' => 'A single private workforce, which is automatically created when you create your first private work team. You can create one private work force in each Amazon Web Services Region. By default, any workforce-related API operation used in a specific region will apply to the workforce created in that region. To learn how to create a private workforce, see Create a Private Workforce.
', 'UpdateWorkforceResponse$Workforce' => 'A single private workforce. You can create one private work force in each Amazon Web Services Region. By default, any workforce-related API operation used in a specific region will apply to the workforce created in that region. To learn how to create a private workforce, see Create a Private Workforce.
', 'Workforces$member' => NULL, ], ], 'WorkforceArn' => [ 'base' => NULL, 'refs' => [ 'CreateWorkforceResponse$WorkforceArn' => 'The Amazon Resource Name (ARN) of the workforce.
', 'Workforce$WorkforceArn' => 'The Amazon Resource Name (ARN) of the private workforce.
', 'Workteam$WorkforceArn' => 'The Amazon Resource Name (ARN) of the workforce.
', ], ], 'WorkforceFailureReason' => [ 'base' => NULL, 'refs' => [ 'Workforce$FailureReason' => 'The reason your workforce failed.
', ], ], 'WorkforceName' => [ 'base' => NULL, 'refs' => [ 'CreateWorkforceRequest$WorkforceName' => 'The name of the private workforce.
', 'CreateWorkteamRequest$WorkforceName' => 'The name of the workforce.
', 'DeleteWorkforceRequest$WorkforceName' => 'The name of the workforce.
', 'DescribeWorkforceRequest$WorkforceName' => 'The name of the private workforce whose access you want to restrict. WorkforceName is automatically set to default when a workforce is created and cannot be modified.
A filter you can use to search for workforces using part of the workforce name.
', 'UpdateWorkforceRequest$WorkforceName' => 'The name of the private workforce that you want to update. You can find your workforce name by using the ListWorkforces operation.
', 'Workforce$WorkforceName' => 'The name of the private workforce.
', ], ], 'WorkforceSecurityGroupId' => [ 'base' => NULL, 'refs' => [ 'WorkforceSecurityGroupIds$member' => NULL, ], ], 'WorkforceSecurityGroupIds' => [ 'base' => NULL, 'refs' => [ 'WorkforceVpcConfigRequest$SecurityGroupIds' => 'The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.
The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.
', ], ], 'WorkforceStatus' => [ 'base' => NULL, 'refs' => [ 'Workforce$Status' => 'The status of your workforce.
', ], ], 'WorkforceSubnetId' => [ 'base' => NULL, 'refs' => [ 'WorkforceSubnets$member' => NULL, ], ], 'WorkforceSubnets' => [ 'base' => NULL, 'refs' => [ 'WorkforceVpcConfigRequest$Subnets' => 'The ID of the subnets in the VPC that you want to connect.
', 'WorkforceVpcConfigResponse$Subnets' => 'The ID of the subnets in the VPC that you want to connect.
', ], ], 'WorkforceVpcConfigRequest' => [ 'base' => 'The VPC object you use to create or update a workforce.
', 'refs' => [ 'CreateWorkforceRequest$WorkforceVpcConfig' => 'Use this parameter to configure a workforce using VPC.
', 'UpdateWorkforceRequest$WorkforceVpcConfig' => 'Use this parameter to update your VPC configuration for a workforce.
', ], ], 'WorkforceVpcConfigResponse' => [ 'base' => 'A VpcConfig object that specifies the VPC that you want your workforce to connect to.
', 'refs' => [ 'Workforce$WorkforceVpcConfig' => 'The configuration of a VPC workforce.
', ], ], 'WorkforceVpcEndpointId' => [ 'base' => NULL, 'refs' => [ 'WorkforceVpcConfigResponse$VpcEndpointId' => 'The IDs for the VPC service endpoints of your VPC workforce when it is created and updated.
', ], ], 'WorkforceVpcId' => [ 'base' => NULL, 'refs' => [ 'WorkforceVpcConfigRequest$VpcId' => 'The ID of the VPC that the workforce uses for communication.
', 'WorkforceVpcConfigResponse$VpcId' => 'The ID of the VPC that the workforce uses for communication.
', ], ], 'Workforces' => [ 'base' => NULL, 'refs' => [ 'ListWorkforcesResponse$Workforces' => 'A list containing information about your workforce.
', ], ], 'WorkspaceSettings' => [ 'base' => 'The workspace settings for the SageMaker Canvas application.
', 'refs' => [ 'CanvasAppSettings$WorkspaceSettings' => 'The workspace settings for the SageMaker Canvas application.
', ], ], 'Workteam' => [ 'base' => 'Provides details about a labeling work team.
', 'refs' => [ 'DescribeWorkteamResponse$Workteam' => 'A Workteam instance that contains information about the work team.
A Workteam object that describes the updated work team.
The Amazon Resource Name (ARN) of the work team. You can use this ARN to identify the work team.
', 'DescribeSubscribedWorkteamRequest$WorkteamArn' => 'The Amazon Resource Name (ARN) of the subscribed work team to describe.
', 'HumanLoopConfig$WorkteamArn' => 'Amazon Resource Name (ARN) of a team of workers. To learn more about the types of workforces and work teams you can create and use with Amazon A2I, see Create and Manage Workforces.
', 'HumanTaskConfig$WorkteamArn' => 'The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
', 'LabelingJobSummary$WorkteamArn' => 'The Amazon Resource Name (ARN) of the work team assigned to the job.
', 'ListLabelingJobsForWorkteamRequest$WorkteamArn' => 'The Amazon Resource Name (ARN) of the work team for which you want to see labeling jobs for.
', 'SubscribedWorkteam$WorkteamArn' => 'The Amazon Resource Name (ARN) of the vendor that you have subscribed.
', 'Workteam$WorkteamArn' => 'The Amazon Resource Name (ARN) that identifies the work team.
', ], ], 'WorkteamName' => [ 'base' => NULL, 'refs' => [ 'CreateWorkteamRequest$WorkteamName' => 'The name of the work team. Use this name to identify the work team.
', 'DeleteWorkteamRequest$WorkteamName' => 'The name of the work team to delete.
', 'DescribeWorkteamRequest$WorkteamName' => 'The name of the work team to return a description of.
', 'ListSubscribedWorkteamsRequest$NameContains' => 'A string in the work team name. This filter returns only work teams whose name contains the specified string.
', 'ListWorkteamsRequest$NameContains' => 'A string in the work team\'s name. This filter returns only work teams whose name contains the specified string.
', 'UpdateWorkteamRequest$WorkteamName' => 'The name of the work team to update.
', 'Workteam$WorkteamName' => 'The name of the work team.
', ], ], 'Workteams' => [ 'base' => NULL, 'refs' => [ 'ListWorkteamsResponse$Workteams' => 'An array of Workteam objects, each describing a work team.