Can mlxtend show the features' name in Sequential Feature Selection for Regression

[lewisscola]

Hi,
I see the 'Example 5 - Sequential Feature Selection for Regression' in http://rasbt.github.io/mlxtend/user_guide/feature_selection/SequentialFeatureSelector/#example-5-sequential-feature-selection-for-regression,
Can I show the most important features' name in mlxtend?(it only show the features' number but not the name)

Thank you!

[rasbt]

Yeah, you can use a pandas DataFrame like in Example 12: http://rasbt.github.io/mlxtend/user_guide/feature_selection/SequentialFeatureSelector/#example-12-using-pandas-dataframes

Then, suppose your "fitted" SFS is called sfs1 and you are interested in the names of the features corresponding to the 3-sized feature set, you can access the names via sfs1.subsets_[3]['feature_names']

[lewisscola]

Thank you so much!