test_classification.py 文件源码

def test_precision_recall_fscore_support_errors():
    y_true, y_pred, _ = make_prediction(binary=True)

    # Bad beta
    assert_raises(ValueError, precision_recall_fscore_support,
                  y_true, y_pred, beta=0.0)

    # Bad pos_label
    assert_raises(ValueError, precision_recall_fscore_support,
                  y_true, y_pred, pos_label=2, average='macro')

    # Bad average option
    assert_raises(ValueError, precision_recall_fscore_support,
                  [0, 1, 2], [1, 2, 0], average='mega')