def test_y_true_zero_and_ratio_zero(self):
# If y_true = 0 and (y_pred - y_true) = 0
y_true = [0, 1, 2, 3, 4, 5]
y_pred = [0, 2.3, 0.4, 3.9, 3.1, 4.6]
with pytest.raises(ValueError):
mape(y_true, y_pred)
def test_mape_random_arrays_finite_values(self, y_true, y_pred):
mape_value = mape(y_true, y_pred)
expected_mape = self._correct_mape(y_true, y_pred)
print(y_true)
print(y_pred)
assert expected_mape == mape_value
def test_mape_dataframe(self):
y_true = pd.DataFrame([1, 5, 7, 3, 4, 5])
y_pred = pd.DataFrame([-1, 3, 5, 4, 4, 3])
mape_value = np.round(mape(y_true, y_pred), decimals=2)
expected_mape = 56.98
assert expected_mape == mape_value
def test_mape_array(self):
y_true = np.array([1, 5, 7, 3, 4, 5])
y_pred = np.array([-1, 3, 5, 4, 4, 3])
mape_value = np.round(mape(y_true, y_pred), decimals=2)
expected_mape = 56.98
assert expected_mape == mape_value
def test_mape_list(self):
y_true = [1, 5, 7, 3, 4, 5]
y_pred = [-1, 3, 5, 4, 4, 3]
mape_value = np.round(mape(y_true, y_pred), decimals=2)
expected_mape = 56.98
assert expected_mape == mape_value
def test_y_true_contains_zero(self):
# If y_true = 0
y_true = [0, 2, 2, 3, 4, 5]
y_pred = [2, 2.3, 0.4, 3.9, 3.1, 4.6]
mape_value = np.round(mape(y_true, y_pred))
expected_mape = np.inf
assert expected_mape == mape_value
def test_infinite_values(self):
y_true = np.random.random(4)
y_pred = [0, np.inf, 2, 3]
with pytest.raises(ValueError):
mape(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):
mape(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):
mape(y_true, y_pred)