title: How can I do ordinal regression using the mord module in python?
body: <p>I am trying to predict a label based on some features and I have some training data. </p>
  
  <p>Searching for ordinal regression in python, I found <a href="http://pythonhosted.org/mord/" rel="nofollow">http://pythonhosted.org/mord/</a> but I could not figure out how to use it. </p>
  
  <p>It would be great if someone has an example code to demonstrate how to use this module.
  Here are the classes in the mord module:</p>
  
  <pre><code>&gt;&gt;&gt;import mord    
  &gt;&gt;&gt;dir(mord)
      ['LAD',
   'LogisticAT',
   'LogisticIT',
   'LogisticSE',
   'OrdinalRidge',
   '__builtins__',
   '__doc__',
   '__file__',
   '__name__',
   '__package__',
   '__path__',
   '__version__',
   'base',
   'check_X_y',
   'grad_margin',
   'linear_model',
   'log_loss',
   'metrics',
   'np',
   'obj_margin',
   'optimize',
   'propodds_loss',
   'regression_based',
   'sigmoid',
   'svm',
   'threshold_based',
   'threshold_fit',
   'threshold_predict',
   'utils']
  </code></pre>