Sklearn: Is there any way to debug Pipelines?

Question

I have created some pipelines for classification task and I want to check out what information is being present/stored at each stage (e.g. text_stats, ngram_tfidf). How coul

Answer 1

You can traverse your Pipeline() tree using steps and named_steps attributes. The former is a list of tuples ('step_name', Step()) while the latter gives you a dictionary constructed from this list

FeatureUnion() content could be explored the same way using transformer_list attribute