test_common.py 文件源码

def test_multioutput_regression_invariance_to_dimension_shuffling():
    # test invariance to dimension shuffling
    random_state = check_random_state(0)
    y_true = random_state.uniform(0, 2, size=(20, 5))
    y_pred = random_state.uniform(0, 2, size=(20, 5))

    for name in MULTIOUTPUT_METRICS:
        metric = ALL_METRICS[name]
        error = metric(y_true, y_pred)

        for _ in range(3):
            perm = random_state.permutation(y_true.shape[1])
            assert_almost_equal(metric(y_true[:, perm], y_pred[:, perm]),
                                error,
                                err_msg="%s is not dimension shuffling "
                                        "invariant" % name)