>> I might suggest mean over training examples but sum over output dimensions, >> if there is more than one. > > Currently, Ridge is the only estimator in scikit-learn supporting > multivariate regression (it does so in a way which is more efficient > than solving `n_responses` problems). It would be nice if we could > pass a 2d Y variable to fit in all regressors in scikit-learn. The > predict method would then return a 2d array of shape [n_samples, > n_responses]. This would be consistent with [n_samples, n_classes] for > classifiers.
+1 A ------------------------------------------------------------------------------ Keep Your Developer Skills Current with LearnDevNow! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-d2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
