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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