On Wed, Feb 1, 2012 at 10:10 PM, David Warde-Farley <[email protected]> wrote:
> 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. Mathieu ------------------------------------------------------------------------------ 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
