java.lang.IllegalStateException: Tree is not fitted

[vinkaga]

I am getting this error on Mac. The console output is

$ java -Xmx12048m -jar StackNet.jar train task=regression sparse=true has_head=false output_name=datasettwo model=model2 pred_file=pred2.csv train_file=dataset2_train.txt test_file=dataset2_test.txt test_target=false params=dataset2_params.txt verbose=true threads=1 metric=mae stackdata=false seed=1 folds=4 bins=3
parameter name : task value :  regression
parameter name : sparse value :  true
parameter name : has_head value :  false
parameter name : output_name value :  datasettwo
parameter name : model value :  model2
parameter name : pred_file value :  pred2.csv
parameter name : train_file value :  dataset2_train.txt
parameter name : test_file value :  dataset2_test.txt
parameter name : test_target value :  false
parameter name : params value :  dataset2_params.txt
parameter name : verbose value :  true
parameter name : threads value :  1
parameter name : metric value :  mae
parameter name : stackdata value :  false
parameter name : seed value :  1
parameter name : folds value :  4
parameter name : bins value :  3
[4793209, 88528]
 Loaded File: dataset2_train.txt
 Total rows in the file: 88528
 Total columns in the file: undetrmined-Sparse
 Number of elements : 4793209
 The filedataset2_train.txt was loaded successfully with :
 Rows : 88528
 Columns (excluding target) : 1
 Delimeter was  :
Loaded sparse train data with 88528 and columns 58
 loaded data in : 6.587000
 Binning parameters
[-0.0131, <=-0.0131]
[0.0247, <=0.0247]
[0.4187, <=0.4187]
 Level: 1 dimensionality: 12
 Starting cross validation
Fitting model : 0
 mae : 0.0534568661948753
Fitting model : 1
 mae : 0.0531896123303922
Fitting model : 2
 mae : 0.053078546424724905
Fitting model : 3
 mae : 0.053564587280493355
Fitting model : 4
Exception in thread "main" java.lang.reflect.InvocationTargetException
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.eclipse.jdt.internal.jarinjarloader.JarRsrcLoader.main(JarRsrcLoader.java:58)
Caused by: java.lang.IllegalStateException:  Tree is not fitted
	at ml.Bagging.scoringhelperbagv2.<init>(scoringhelperbagv2.java:109)
	at ml.Bagging.BaggingRegressor.predict2d(BaggingRegressor.java:669)
	at ml.Bagging.BaggingRegressor.predict_proba(BaggingRegressor.java:1875)
	at ml.stacknet.StackNetRegressor.fit(StackNetRegressor.java:3065)
	at stacknetrun.runstacknet.main(runstacknet.java:522)
	... 5 more

Python version 3.6.1
Java version: 1.8.0_121

Any suggestions on how to get around this issue?

[kaz-Anova]

You may read how to install xgboost here (and check that it works fine)

Also see this issue if problem persists.

[vinkaga]

Thanks for extremely fast response! I had gcc-7 on my computer. Copying dylibs from 7 to 6 did the trick :-)

$ pwd
/usr/local/Cellar/gcc/7.2.0/lib/gcc
$ sudo cp -r 7 6