Getting training scores may take non-negligible time...


On 4 February 2014 21:12, Gael Varoquaux <notifications@github.com> wrote:

>  In sklearn/cross_validation.py:
>
> >
> > -def _fit_and_score(estimator, X, y, scorer, train, test, verbose, parameters,
> > -                   fit_params, return_train_score=False,
> > -                   return_parameters=False):
> > -    """Fit estimator and compute scores for a given dataset split.
> > +
> > +def cross_val_report(estimator, X, y=None, scoring=None, cv=None, n_jobs=1,
>
> Is there a reason that cross_val_score cannot refactored to use the new
> function cross_val_report internally?
>
> --
> Reply to this email directly or view it on GitHub<https://github.com/scikit-learn/scikit-learn/pull/2759/files#r9415859>
> .
>