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schema: '2.0'
stages:
prep_features:
cmd: python src/stage_prep_features.py --params=params.yaml
deps:
- path: src/features/PlantationsData.py
hash: md5
md5: 2dcd21e889bcd7023eb52852a4b257bf
size: 3123
- path: src/features/create_xy.py
hash: md5
md5: d3f1e6db8951de74e86c61a52d23e66f
size: 16794
- path: src/stage_prep_features.py
hash: md5
md5: 7444e7aef0fece8f2a87ec744ac1d4dc
size: 2191
params:
params.yaml:
base:
log_level: DEBUG
random_state: 121
config: config.yaml
data_condition:
total_feature_count: 94
classes: 4
ard_subsample: 4
subset_fraction: 0.1
test_split: 20
train_split: 80
val_split: 25
modelData_path: data/train_params/modelData.pkl
data_load:
download_data: false
bucket_name: restoration-monitoring
folder_prefix: plantation-mapping/data/train/
local_prefix: data/
ttc_feats_dir: train-features-ard/
create_labels: false
ceo_survey:
- v08
- v14
- v15
- v19
- v20
- v21
- v22
- v23
outs:
- path: data/train_params/modelData.pkl
hash: md5
md5: 4dac32d3d05a086cfdc4f62086e3405f
size: 288393296
load_data:
cmd: python src/stage_load_data.py --params=params.yaml
deps:
- path: src/stage_load_data.py
hash: md5
md5: 43e0c8bb0743c5604ba15cbaf57fb25d
size: 1025
params:
params.yaml:
base:
log_level: DEBUG
random_state: 121
config: config.yaml
data_load:
download_data: false
bucket_name: restoration-monitoring
folder_prefix: plantation-mapping/data/train/
local_prefix: data/
ttc_feats_dir: train-features-ard/
create_labels: false
ceo_survey:
- v08
- v14
- v15
- v19
- v20
- v21
- v22
- v23
select_features_hyperparams:
cmd: python src/stage_select_and_tune.py --params=params.yaml
deps:
- path: data/train_params/modelData.pkl
hash: md5
md5: 4dac32d3d05a086cfdc4f62086e3405f
size: 288393296
- path: src/features/feature_selection.py
hash: md5
md5: d51fa7201f0fb27b59e81589754b413a
size: 8446
params:
params.yaml:
base:
log_level: DEBUG
random_state: 121
config: config.yaml
data_condition:
total_feature_count: 94
classes: 4
ard_subsample: 4
subset_fraction: 0.1
test_split: 20
train_split: 80
val_split: 25
modelData_path: data/train_params/modelData.pkl
select:
select_features: false
max_features: 40
selected_features_path: data/train_params/selected_features.json
train:
use_best_params: true
model_dir: models/
model_name: models/model.joblib
estimator_name: cat
cv: 3
tuning_metric: balanced_accuracy
testing_metrics: accuracy balanced_accuracy precision recall f1 roc_auc
log_loss
estimators:
cat:
use_class_weights: true
param_grid:
loss_function: MultiClass
random_state: 121
logging_level: Silent
depth: 10
iterations: 1200
l2_leaf_reg: 20
min_data_in_leaf: 1680
learning_rate: 0.02
outs:
- path: data/train_params/best_params.json
hash: md5
md5: fdabd45dffd30ce0dc2dd7fe732bc8f3
size: 113
- path: data/train_params/selected_features.json
hash: md5
md5: 9ae4c88d0f7cdaec60f1a13e36f565e5
size: 150
train_model:
cmd: python src/stage_train_model.py --params=params.yaml
deps:
- path: data/train_params/best_params.json
hash: md5
md5: fdabd45dffd30ce0dc2dd7fe732bc8f3
size: 113
- path: data/train_params/modelData.pkl
hash: md5
md5: 4dac32d3d05a086cfdc4f62086e3405f
size: 288393296
- path: data/train_params/selected_features.json
hash: md5
md5: 9ae4c88d0f7cdaec60f1a13e36f565e5
size: 150
- path: src/model/train.py
hash: md5
md5: a5336ed53bcc71cf71937e886d6d7c5e
size: 3411
- path: src/stage_train_model.py
hash: md5
md5: 4eda50bc247e53cae05bfd77856a7c33
size: 2905
params:
params.yaml:
base:
log_level: DEBUG
random_state: 121
config: config.yaml
data_condition:
total_feature_count: 94
classes: 4
ard_subsample: 4
subset_fraction: 0.1
test_split: 20
train_split: 80
val_split: 25
modelData_path: data/train_params/modelData.pkl
train:
use_best_params: true
model_dir: models/
model_name: models/model.joblib
estimator_name: cat
cv: 3
tuning_metric: balanced_accuracy
testing_metrics: accuracy balanced_accuracy precision recall f1 roc_auc
log_loss
estimators:
cat:
use_class_weights: true
param_grid:
loss_function: MultiClass
random_state: 121
logging_level: Silent
depth: 10
iterations: 1200
l2_leaf_reg: 20
min_data_in_leaf: 1680
learning_rate: 0.02
outs:
- path: models/model.joblib
hash: md5
md5: 28f141320b5eb40c725a17a2c4589a02
size: 49285302
evaluate_model:
cmd: python src/stage_evaluate_model.py --params=params.yaml
deps:
- path: data/train_params/best_params.json
hash: md5
md5: fdabd45dffd30ce0dc2dd7fe732bc8f3
size: 113
- path: data/train_params/modelData.pkl
hash: md5
md5: 4dac32d3d05a086cfdc4f62086e3405f
size: 288393296
- path: data/train_params/selected_features.json
hash: md5
md5: 9ae4c88d0f7cdaec60f1a13e36f565e5
size: 150
- path: models/model.joblib
hash: md5
md5: 28f141320b5eb40c725a17a2c4589a02
size: 49285302
- path: src/evaluation/validation_visuals.py
hash: md5
md5: d44607261f09b8de101499bb3ec2e1f7
size: 3597
- path: src/stage_evaluate_model.py
hash: md5
md5: 9f50423718bb6237f5ac94e03dffbf97
size: 4718
params:
params.yaml:
base:
log_level: DEBUG
random_state: 121
config: config.yaml
data_condition:
total_feature_count: 94
classes: 4
ard_subsample: 4
subset_fraction: 0.1
test_split: 20
train_split: 80
val_split: 25
modelData_path: data/train_params/modelData.pkl
evaluate:
metrics_file: src/evaluation/metrics
cm_image: src/evaluation/confusion_matrix
cm_data: src/evaluation/confusion_matrix_data
train_progress: src/evaluation/train_progress
tile_id_loc: data
train:
use_best_params: true
model_dir: models/
model_name: models/model.joblib
estimator_name: cat
cv: 3
tuning_metric: balanced_accuracy
testing_metrics: accuracy balanced_accuracy precision recall f1 roc_auc
log_loss
estimators:
cat:
use_class_weights: true
param_grid:
loss_function: MultiClass
random_state: 121
logging_level: Silent
depth: 10
iterations: 1200
l2_leaf_reg: 20
min_data_in_leaf: 1680
learning_rate: 0.02
outs:
- path: src/evaluation/confusion_matrix.png
hash: md5
md5: 9457469dee3f66eec13cdb0bc515a598
size: 30176
- path: src/evaluation/confusion_matrix_data.csv
hash: md5
md5: e4246ff991ea94795c61775af152c002
size: 152113
- path: src/evaluation/metrics.json
hash: md5
md5: 7d1e83f7fa82f4d4d9df84392f9140f6
size: 356