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Disable unnecessary warning in EnsembleVoteClassifier
There is an unnecessary warning
/Users/sebastian/miniforge3/lib/python3.9/site-packages/mlxtend/classifier/ensemble_vote.py:166: UserWarning: fit_base_estimators=False enforces use_clones to be `False`
warnings.warn("fit_base_estimators=False "
when both use_clones and fit_base_estimators are False:
eclf = EnsembleVoteClassifier(clfs=(clf1, clf2, clf3),
weights=(1, 1, 1),
use_clones=False,
fit_base_estimators=False)
eclf.fit(X_train, y_train)
This warning should only be shown if
fit_base_estimators=Falseanduse_clones=True
not
fit_base_estimators=Falseanduse_clones=False