[scikit-learn] Issue regarding Feature Union

[mitali katoch]

  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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