title: TfidfVectorizer does not use the whole set of words in all documents?
body: <p>I am trying to build a TFIDF model with TfidfVectorizer. The feature name list namely the number of column of sparse matrix is shorter than the length of word set of documents even though I set min_df as 1. What happened? </p>