[scikit-learn] Combine already fitted models

[Rares Vernica]

> > 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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