How to use custom classifiers in ensemble classifiers in sklearn?

Question

I read that the builtin ensemble methods in sklearn use decision trees as the base classifiers. Is it possible to use custom classifiers instead?

Answer 1

If you mean the random forest classes, then no, this is currently not possible. The option to allow other estimators was discussed on the scikit-learn mailing list last January, but I don't believe any actual code has come out that discussion.