[FIXED] what is the difference between tfidf vectorizer and tfidf transformer

Issue

I know that the formula for tfidf vectorizer is

Count of word/Total count * log(Number of documents / no.of documents where word is present)

I saw there's tfidf transformer in the scikit learn and I just wanted to difference between them. I could't find anything that's helpful.

Solution

TfidfVectorizer is used on sentences, while TfidfTransformer is used on an existing count matrix, such as one returned by CountVectorizer

Answered By - Artem Trunov