> Alex, I am afraid some codes have been broken... I don't think there is:
In [1]: from sklearn.svm import SVC In [2]: X = [[0], [1]] In [3]: Y = [0, 1] In [5]: clf = SVC() In [8]: clf.fit(X, Y).decision_function(1) Out[8]: array([[ 0.63212056]]) In [9]: clf.fit(X[::-1], Y[::-1]).decision_function(1) Out[9]: array([[ 0.63212056]]) @mblondel we're good Alex ------------------------------------------------------------------------------ This SF email is sponsosred by: Try Windows Azure free for 90 days Click Here http://p.sf.net/sfu/sfd2d-msazure _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
