Well, it returns the equivalent of lambda estimator, X, y: estimator.score(X, y)
On 5 January 2017 at 08:47, Jonathan Taylor <jonathan.tay...@stanford.edu> wrote: > (Think this is right reply to from a digest... If not, apologies) > > Thanks for the pointers. From what I read on the API, I gather that for an > estimator with a score method, inside GridSearchCV there will be > pseudo-code like > > ... > estimator.fit(X_train, y_train) > scorer = estimator.score > return scorer(X_test, y_test) > > > For custom scores that are not methods of an estimator, I guess the > `make_scorer` function returns a callable with the same signature as a > score method of an estimator? > > -- > Jonathan Taylor > Dept. of Statistics > Sequoia Hall, 137 > 390 Serra Mall > Stanford, CA 94305 > Tel: 650.723.9230 <(650)%20723-9230> > Fax: 650.725.8977 <(650)%20725-8977> > Web: http://www-stat.stanford.edu/~jtaylo > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > >
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