Am 10.12.2012 15:55, schrieb Conrad Lee: > Say I have some arbitrary score function my_func() that I want > GridSearchCV to optimize. Let's say I'm doing classification and not > regression. > > GridSearchCV will use a classifier's predict() function to make > predictions, and pass those predictions into the my_func, along with > the true values. But what if my_func needs the output of > predict_proba to arrive at its score? Is there any way I can get > GridSearchCV use do predict_proba with my_func? > I have been working on that for quite a while. After many attempts (see https://github.com/scikit-learn/scikit-learn/pull/1014 and https://github.com/scikit-learn/scikit-learn/pull/1198), and some discussions, we settled an interface to do that.
My current PR is https://github.com/scikit-learn/scikit-learn/pull/1381. It is pretty high up in my priority list, but currently far from mergable. Not sure if I should try to get it into the release or not. Will most definitely work on it next weekend. Hope that helps. Andy ------------------------------------------------------------------------------ LogMeIn Rescue: Anywhere, Anytime Remote support for IT. Free Trial Remotely access PCs and mobile devices and provide instant support Improve your efficiency, and focus on delivering more value-add services Discover what IT Professionals Know. Rescue delivers http://p.sf.net/sfu/logmein_12329d2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
