On 04/01/2012 04:34 PM, Gael Varoquaux wrote: > On Sun, Apr 01, 2012 at 04:23:36PM +0200, Andreas wrote: > >> @Alex, could you maybe give the setting again where you had >> issues doing grid search without scale_C? >> > Afaik, it was with a l1-penalized logistic. In my experience, > l2-penalized models and less sensitive to choice of the penality > parameter, and hinge loss (aka SVM) and less sensitive than l2 of > logistic loss. > I also tried L1 penalized logistic regression models. It doesn't seem to make much difference on digits, usps or madelon. If would be good if you could provide a data set where changing the fraction of training data by a factor of, say 100, will lead to a similar model and that is sensitive to C.
I probably look a the wrong kind of data sets to see the effect. Cheers, Andy ------------------------------------------------------------------------------ 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
