Getting feature names from within a FeatureUnion + Pipeline

Question

I am using a FeatureUnion to join features found from the title and description of events:

union = FeatureUnion(
    transformer_list=[
    # Pipeline for pu         


        

Answer 1

You can call your different Vectorizers as a nested feature by this (thanks edesz):

pipevect= dict(pipeline.named_steps['union'].transformer_list).get('title').named_steps['count']

And then you got the TfidfVectorizer() instance to pass in another function:

Show_most_informative_features(pipevect,
       pipeline.named_steps['classifier'], n=MostIF)
# or direct   
print(pipevect.get_feature_names())