# TF-IDF transformer tfidf = TfidfTransformer() tfidf_features = tfidf.fit_transform(count_features)
# Let's create a dummy dataset data = [' '.join(tokens)] in3x,net,watch,14zwhrd6,dildo,18
# Vectorizer to convert text into a matrix of token counts vectorizer = CountVectorizer() count_features = vectorizer.fit_transform(data) in3x,net,watch,14zwhrd6,dildo,18