def test_gmae_random_arrays_finite_values(self, y_true, y_pred):
gmae_value = gmae(y_true, y_pred)
expected_gmae = self._correct_gmae(y_true, y_pred)
print(y_true)
print(y_pred)
assert expected_gmae == gmae_value
def test_gmae_dataframe(self):
y_true = pd.DataFrame([0, 1, 2, 3, 6, 5])
y_pred = pd.DataFrame([-1, 4, 5, 10, 4, 1])
gmae_value = np.round(gmae(y_true, y_pred), decimals=2)
expected_gmae = 2.82
assert expected_gmae == gmae_value
def test_gmae_array(self):
y_true = np.array([0, 1, 2, 3, 6, 5])
y_pred = np.array([-1, 4, 5, 10, 4, 1])
gmae_value = np.round(gmae(y_true, y_pred), decimals=2)
expected_gmae = 2.82
assert expected_gmae == gmae_value
def test_gmae_list(self):
y_true = [0, 1, 2, 3, 6, 5]
y_pred = [-1, 4, 5, 10, 4, 1]
gmae_value = np.round(gmae(y_true, y_pred), decimals=2)
expected_gmae = 2.82
assert expected_gmae == gmae_value
def test_zero_in_difference_gmae(self):
# if absolute difference is zero then GMAE is zero
y_true = pd.DataFrame([0, 1, 2, 3, 4, 5])
y_pred = pd.DataFrame([-1, 4, 5, 10, 4, 1])
gmae_value = np.round(gmae(y_true, y_pred), decimals=2)
expected_gmae = 0
assert expected_gmae == gmae_value
def test_infinite_values(self):
y_true = np.random.random(4)
y_pred = [0, np.inf, 2, 3]
with pytest.raises(ValueError):
gmae(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):
gmae(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):
gmae(y_true, y_pred)
