What does this implement/fix? Explain your changes.
It adds flatten_transform parameter to VotingClassifier, which changes shape of transform method's output to [n_samples, n_classifiers * n_classes] instead of [n_classifiers, n_samples, n_classes],
With this parameter turned on you can use VotingClassifier as a transformer, and feed its output to other estimators/transformers in Pipeline.
Any other comments?
None, make suggestions. I Summon @amueller into this PR :)
Also, it might be helpful to special case for binary classification and only retain probabilities of one of the classes, say the positive one? That would result in smaller and more interpretable downstream models.
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