>> Yes, the score_func option is intended exactly for this purpose.
> The problem I have with it is that my score function is defined in
> terms of the probabilistic outcome of the classifier (i.e.
> predict_proba) whereas the score_func's caller pass it the predicted
> class (i.e. the outcome of predict).
>
> Is there a workaround for that, or is that a case where subclassing is
> needed, as I had concluded before?
You are right, there is no good solution for that at the moment.
We are working on it, though. In particular I'm trying
to get AUC to work with cross-validation. So stay tuned ;)

------------------------------------------------------------------------------
How fast is your code?
3 out of 4 devs don\\\'t know how their code performs in production.
Find out how slow your code is with AppDynamics Lite.
http://ad.doubleclick.net/clk;262219672;13503038;z?
http://info.appdynamics.com/FreeJavaPerformanceDownload.html
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

Reply via email to