Re: [scikit-learn] The exact formula used to compute the tf-idf

Hi there, unfortunately I currently don't have time to walk through your example, but I wrote down how the Tf-idf in sklearn works using some examples here: https://github.com/rasbt/pattern_classification/blob/90710922e4f4d7e3f432221b8a4d2ec1dd2d9dc9/machine_learning/scikit-learn/tfidf_scikit-le

[scikit-learn] The exact formula used to compute the tf-idf

Hi, I am trying to understand the exact formula for tf-idf. vectorizer = TfidfVectorizer(ngram_range = (1, 1), norm = None) wordtfidf = vectorizer.fit_transform(texts) Given the following 3 documents (id1, id2, id3 are the IDs of the three documents). id1 AA BB BB CC CC CC id2 AA AA AA