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This repository has been archived by the owner on Jul 27, 2018. It is now read-only.
Do you support working with pipelines where only the last step is an estimator?
Is it possible to stack them like StackingClassifier(classifiers=[pip1, pip2, pip3, pip4]
I tried this and it seems to be stuck / not continue evaluating the pipeline.
The text was updated successfully, but these errors were encountered:
As long as it implements the fit, predict, predict_proba interface (which the pipeline does) it works. If not, please, paste here your code and we'll take a look at it. (Try with a subsample of the dataset and, once you see it works, proceed to the whole dataset).
Do you support working with pipelines where only the last step is an estimator?
Is it possible to stack them like
StackingClassifier(classifiers=[pip1, pip2, pip3, pip4]
I tried this and it seems to be stuck / not continue evaluating the pipeline.
The text was updated successfully, but these errors were encountered: