API: new transformer RandomTreesEmbeddingDF; note that class RandomTreesEmbedding existed previously in scikit-learn, but is based on TransformerMixin only as of scikit-learn 1.1
API: support parameters max_categories and min_frequency of OneHotEncoderDF, introduced in scikit-learn 1.1
API: support array-like values for parameter drop of OneHotEncoderDF
API: support "passthrough" as a transformer in FeatureUnionDF
API: remove GeneralizedLinearRegressorDF since the underlying native estimator is a base class and not intended to be used as a regressor of its own
BisectingKMeansDFMiniBatchNMFDFRandomTreesEmbeddingDF; note that classRandomTreesEmbeddingexisted previously in scikit-learn, but is based onTransformerMixinonly as of scikit-learn 1.1max_categoriesandmin_frequencyofOneHotEncoderDF, introduced in scikit-learn 1.1dropofOneHotEncoderDF"passthrough"as a transformer inFeatureUnionDFGeneralizedLinearRegressorDFsince the underlying native estimator is a base class and not intended to be used as a regressor of its own