What is the difference between CountVectorizer token counts and TfidfTransformer with use_idf set to False?
Actually, the documentation was pretty clear. I'll keep it posted in case someone else searches before reading:
The TfidfTransformer transforms a count matrix to a normalized tf or tf-idf representation. So although both the CountVectorizer and TfidfTransformer (with use_idf=False) produce term frequencies, TfidfTransformer is normalizing the count.