Hi Michal. This is implemented in the current development version. You can now pass "scoring objects" that get the estimator. See here: http://scikit-learn.org/dev/modules/model_evaluation.html#score-func-objects
Cheers, Andy On 04/06/2013 07:32 PM, Romaniuk, Michal wrote: > Hi Everyone, > > In sklearn.cross_validation.cross_val_score, would it make sense to enable > score_func to access the estimator itself, rather than just the true and > predicted labels? My use case would be to use cross_val_score to compute both > classification accuracy and sparsity for each train/test split. > > Regards, > Michal > > ------------------------------------------------------------------------------ > Minimize network downtime and maximize team effectiveness. > Reduce network management and security costs.Learn how to hire > the most talented Cisco Certified professionals. Visit the > Employer Resources Portal > http://www.cisco.com/web/learning/employer_resources/index.html > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Minimize network downtime and maximize team effectiveness. Reduce network management and security costs.Learn how to hire the most talented Cisco Certified professionals. Visit the Employer Resources Portal http://www.cisco.com/web/learning/employer_resources/index.html _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
