> > I am looking at VotingClassifier but it seems that it is expected that the estimators are fitted when VotingClassifier.fit() is called. I don't see how I can have already fitted classifiers combined under a VotingClassifier. > > I think the opposite is true: The classifiers provided via an `estimators` argument upon initialization will be cloned and fitted if you call VotingClassifier's fit(). Based on your follow-up question, I think you meant "it is expected that the estimators are *not* fitted when VotingClassifier.fit() is called," right?!
Yes, you are right. Sorry for the confusion. Thanks for the pointer! I am also exploring something like: vc = VotingClassifier(...) vc.estimators_ = [e1, e2, ...] vc.le_ = ... vc.predict(...) But I am not sure it is recommended to modify the "private" estimators_ and le_ attributes. -- Rares
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