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Apr 18th, 2014
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  1. from sklearn import svm
  2. X = [[1, 1, 0], [0, 0, 2]] # training data features
  3. y = [0, 1] # class labels
  4. clf = svm.SVC()
  5. clf.fit(X, y)
  6.  
  7. clf.predict([[0, 1, 0]])
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