Dear Scikit team, I am working with FeatureUnion in the pipeline and best parameters are as follows: Pipeline(steps=[('feature_sel', FeatureUnion(transformer_list= [ ('selectk', SelectKBest(k=500)), ('sel_fromModel',
SelectFromModel(estimator=LogisticRegression(C=1, penalty='l1', solver='liblinear'), max_features=100))] )), ('sampler', SMOTE(k_neighbors=2, random_state=10)), ('model', SVC(random_state=10))] ) I would like to extract those SelectKBest(k=500) and max_features=100 from the pipeline. Could you please confirm whether it is possible to do it, If yes, could you share the solution, I would highly appreciate that. Thanks in advance. Best Regards, Mitali Katoch
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