title: Nu is infeasible
body: <p>I am using the NuSVC class in sklearn. After trying to instantiate an NuSVC object as follows:</p>
  
  <pre><code>self.classifier = OneVsRestClassifier(NuSVC())
  </code></pre>
  
  <p>I found that I repeatedly get a 'specified nu is infeasible' error. I tried varying the 'nu' parameter from 0.1 all the way to 1. (in 0.1 increments), but I keep getting the same error. I am really unsure how to interpret this message, and how to go about resolving it? I figured that if I set the nu to 1., it would work because nu represents an upper bound on the fraction of training errors which I believe should always be tenable. What could be causing this?</p>
  
  <p>Thanks for the help!</p>