test_model_selection.py 文件源码

def test_cv_multiplemetrics_requires_refit_metric():
    X, y = make_classification(random_state=0)

    param_grid = {'max_depth': [1, 5]}
    a = dcv.GridSearchCV(RandomForestClassifier(), param_grid, refit=True,
                         scoring={'score1': 'accuracy', 'score2': 'accuracy'})

    with pytest.raises(ValueError):
        a.fit(X, y)