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

This could be an instructive alternative: I encountered a similar need as what was asked by OP. If one wants to get the k best features' indices directly from GridSearchCV:

finalFeatureIndices = gs.best_estimator_.named_steps["feat"].get_support(indices=True)

And via index manipulation, can get your finalFeatureList:

finalFeatureList = [initialFeatureList[i] for i in finalFeatureIndices]