title: scikit learn SVM, how to save/load support vectors?
body: <p>using python scikit svm, after running clf.fit(X, Y), you get your support vectors.
  could I load these support vectors directly (passing them as paramter) when instantiate a svm.SVC object? which means I do not need to running fit() method each time to do predication</p>