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)