On Tue, Mar 20, 2012 at 09:05:01PM +0100, David Marek wrote: > I found loss functions in sgd_fast.pyx. Shouldn't they be used?
SGD is a minimization strategy, independent of any particular loss function. The hinge loss and log loss are implemented but other losses are possible, e.g. multiclass cross-entropy is very popular in the neural networks literature (moreso than one-vs-all or one-vs-one hinge loss), squared error or absolute error for regression tasks, etc. ------------------------------------------------------------------------------ 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
