title: Getting counts in MultiLabelBinarizer
body: <p>How can I get counts of items in MultiLabelBinarizer?</p>
  
  <pre><code>import pandas as pd
  from sklearn.preprocessing import MultiLabelBinarizer
  mlb = MultiLabelBinarizer()
  
  pd.DataFrame(mlb.fit_transform([(1,1,2), (3,3,2,5)]),columns=mlb.classes_)
  
  Out[0]: 
     1  2  3  5
  0  1  1  0  0
  1  0  1  1  1
  </code></pre>
  
  <p>Instead of this, I want to get</p>
  
  <pre><code>Out[0]: 
     1  2  3  5
  0  2  1  0  0
  1  0  1  2  1
  </code></pre>
  
  <p>As 1 is repeated 2 times in row 1 and 3 is repeated 2 times in row 2</p>