python feature selection in pipeline: how determine feature names?

Question

i used pipeline and grid_search to select the best parameters and then used these parameters to fit the best pipeline (\'best_pipe\'). However since the feature_selection (Selec

Answer 1

You can access the feature selector by name in best_pipe:

features = best_pipe.named_steps['feat']

Then you can call transform() on an index array to get the names of the selected columns:

X.columns[features.transform(np.arange(len(X.columns)))]

The output here will be the eighty column names selected in the pipeline.