test_model_selection.py 文件源码

def test_bad_error_score():
    X, y = make_classification(n_samples=100, n_features=10, random_state=0)
    gs = dcv.GridSearchCV(MockClassifier(), {'foo_param': [0, 1, 2]},
                          error_score='badparam')

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