def test_max_error_dataframe(self): y_true = pd.DataFrame([0, 1, 2, 3, 4, 5]) y_pred = pd.DataFrame([-1, 4, 5, 10, 4, 1]) error = max_error(y_pred, y_true) expected_max_error = 7 assert expected_max_error, error
def test_max_error_array(self): y_true = np.array([0, 1, 2, 3, 4, 5]) y_pred = np.array([-1, 4, 5, 10, 4, 1]) error = max_error(y_pred, y_true) expected_max_error = 7 assert expected_max_error, error
def test_max_error_list(self): y_true = [0, 1, 2, 3, 4, 5] y_pred = [-1, 4, 5, 10, 4, 1] error = max_error(y_pred, y_true) expected_max_error = 7 assert expected_max_error, error
def test_smape_random_arrays_finite_values(self, y_true, y_pred): error = max_error(y_true, y_pred) expected_error = self._correct_max_error(y_true, y_pred) print(y_true) print(y_pred) assert expected_error == error
def test_infinite_values(self): y_true = np.random.random(4) y_pred = [0, np.inf, 2, 3] with pytest.raises(ValueError): max_error(y_true, y_pred)
def test_nan_values(self): y_true = [np.nan, 1, 2, 3] y_pred = np.random.random(4) with pytest.raises(ValueError): max_error(y_true, y_pred)
def test_wrong_vector_length(self): y_true = np.random.random(5) y_pred = np.random.random(4) with pytest.raises(ValueError): max_error(y_true, y_pred)