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Good question. The StackingClassifier and StackingCVClassifier in mlxtend have been around for a long time (a few years) and I assume that the new scikit-learn StackingClassifier implements the same general approach but with a slightly different API. I haven't looked at scikit-learn's stacking classifier in detail though and can't tell you much more about it.
However, when I look at the documentation, it seem that it is using cross-validation internally (the recommended approach), so it is more similar to the StackingCVClassifier in mlxtend rather then the regular StackingClassifier in mlxtend.
Apologies if this is not the place for such a question, but:
What are the differences between mlxtend's
StackingCVClassifier
and sklearn's newStackingClassifier
(which has acv
option)?The text was updated successfully, but these errors were encountered: