Error- no changes made to Zillo Example

[rahasayantan]

I tried using the example as is except changing the Bag and Bin counts.. I get the following error. I have ubuntu 14.04 (trusty) Java 1.8

Command and error StackNet$ 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=5 bins=2 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 : 5 parameter name : bins value : 2 [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 : 10.403000 Binning parameters [0.005, <=0.005] [0.4187, <=0.4187] Level: 1 dimensionality: 12 Starting cross validation Fitting model : 0 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.(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

[goldentom42]

Hi rahasayantan, It looks like you have a problem with the 1st regressor, which is LightGBM. Did you make it executable as explained here ?

[kaz-Anova]

@rahasayantan

Also see my response here

[rahasayantan]

I understand the problem is very basic. I use Python 2.7.. And the installables shipped are for Python 3.0+.. I need to change the lib and executable to reflect my version of python...

I am closing this issue. Thanks for your help and support.. This is a fantastic tool..