Hi, you can use your own score method. See examples of score_func in sklearn.metrics
you can for example pass them to cross_val_score. hope this helps Alex On Sun, Dec 18, 2011 at 11:35 PM, Jieyun Fu <[email protected]> wrote: > Hi all, > > Wondering if there is a way to get the goodness-of-fit information from the > LogisticRegression package, other than score() method? My particular > question for now is, how do I get the t-stat (I guess some people call it > z-value. I mean \hat{B} / std.err. ) of a logistic regression using sklearn > package? > > Thanks! > > > ------------------------------------------------------------------------------ > Learn Windows Azure Live! Tuesday, Dec 13, 2011 > Microsoft is holding a special Learn Windows Azure training event for > developers. It will provide a great way to learn Windows Azure and what it > provides. You can attend the event by watching it streamed LIVE online. > Learn more at http://p.sf.net/sfu/ms-windowsazure > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > ------------------------------------------------------------------------------ Learn Windows Azure Live! Tuesday, Dec 13, 2011 Microsoft is holding a special Learn Windows Azure training event for developers. It will provide a great way to learn Windows Azure and what it provides. You can attend the event by watching it streamed LIVE online. Learn more at http://p.sf.net/sfu/ms-windowsazure _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
