title: sklearn and SVMs with polynomial kernel
body: <p>I am using sklearn for python to perform cross validation using SVMs. I tried with the linear and rbf kernels and it all works fine. When i run it with the polynomial kernel though it never finishes. It has been running for 8 hours and still nothing. The dimensionality of the input X is (1422, 2)</p>
  
  <pre><code>def SupportVectorMachines(X,y):
       clf = svm.SVC(C=1.0, kernel='poly', degree=3, gamma=2)
       classifier = clf.fit(X,y)
       score = cross_validation.cross_val_score(classifier, X,y, cv=10, n_jobs=1).mean()
       return score
  </code></pre>
  
  <p>Any ideas why is that?</p>
  
  <p>Thanks</p>