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This PR creates a private module with serial versions of the
sklearn.ensemble
bagging estimators.This is needed mostly because I struggle with nested parallelism when using
dask.distruted
as a parallel backend. In order to expose parallelism at the base estimator level (which is where it usually does the most good for me), I've found that I need meta-estimators and cross-validation functions to be run in serial. This is unnecessary when using the defaultjoblib
backends, but becomes necessary when usingdask.distributed
. If someone can tell me how to fully exploit nestedparallelism when using a
dask.distributed
backend, I will gladly remove this private module.