svm

              from sklearn import svm x = [[2, 0], [1, 1], [2, 3]] y = [0, 0, 1] clf = svm.SVC(kernel = 'linear') clf.fit(x, y) print clf # get support vectors print clf.support_vectors_ # get ind

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