On Wed, Mar 21, 2012 at 5:57 PM, Olivier Grisel <olivier.gri...@ensta.org> wrote:
> If there are only two classes, 0 or -1 is treated as negative and 1 is > treated as positive. To complement Olivier's answer, by convention in scikit-learn, the negative label is in self.classes_[0] and the positive one is in self.classes_[1]. Methods like decision_function or predict_proba that give you a score for the membership of the instances to each class use this order too. > In the multi-class case, coef_ seems to have shape [n_classes, > n_features] (it's a one vs the rest multiclass model). > > I think the docstring is wrong. Anybody can confirm? Indeed... Mathieu ------------------------------------------------------------------------------ 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 Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
