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

Jake's answer totally works. But depending on what feature selector your using, there's another option that I think is cleaner. This one worked for me:

X.columns[features.get_support()]

It gave me an identical answer to Jake's answer. And you can see more about it in the docs, but get_support returns an array of true/false values for whether or not the column was used. Also, it's worth noting that X must be of identical shape to the training data used on the feature selector.