Suppose I used tfidfvectorizer to create features, trained a classifier,
did cross-validation, etc.. Let's say I am happy with the result and I want
to use my classifier with new data. When I am converting my new (unlabeled)
data to a feature vector, don't I need the IDF from the original tfidf
vectorizer to calculate the tfidf of the words in my new (unlabeled) data
point? If so, is there an easy way to do this?
Thanks
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