title: Python Term Frequency vectorizer
body: <p>With the help of <a href="http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html" rel="nofollow noreferrer">TfidfVectorizer</a> from the Pythons's package scikit-learn, we can easily transform a list of documents into a dataset with features <code>&lt;term&gt;-frequency-inverse-document-frequency</code>, where <code>term</code>s are the words that appear in the documents.</p>
  
  <p>Is anywhere in Python a TfVectorizer-analogue of the TfidfVectorizer that would produce <code>&lt;term&gt;-frequency</code> features, i.e., the values of the features would not we weighted by the inverse document frequency?</p>
  
  <p>I prefer Python solutions over those written in other programming languages, but if you know any easy-to-use implementation in Java, you can also mention it.</p>