fixes.py 文件源码

def _do_fit(n_jobs, verbose, pre_dispatch, base_estimator,
                X, y, scorer, parameter_iterable, fit_params,
                error_score, cv, **kwargs):
        groups = kwargs.pop('groups')

        # test_score, n_samples, parameters
        out = Parallel(n_jobs=n_jobs, verbose=verbose, pre_dispatch=pre_dispatch)(
            delayed(_fit_and_score)(
                clone(base_estimator), X, y, scorer,
                train, test, verbose, parameters,
                fit_params=fit_params,
                return_train_score=False,
                return_n_test_samples=True,
                return_times=False,
                return_parameters=True,
                error_score=error_score)
            for parameters in parameter_iterable
            for train, test in cv.split(X, y, groups))

        # test_score, n_samples, _, parameters
        return [(mod[0], mod[1], None, mod[2]) for mod in out]