def test_basic_balanced():
y_true = np.array([True, True, True, True, True, True, True, False])
y_pred = np.array([0.491, -0.1, 0.64, 1.52, -0.23, -0.23, 1.579, 0.76])
err = rmse(y_true, y_pred)
reference = 0.8520359440774784
assert abs(err - reference) < ATOL
err = rmse(y_true, y_pred, balanced=True)
reference = 0.81219216955952755
assert abs(err - reference) < ATOL
def test_basic_balanced():
y_true = np.array([True, True, True, True, True, True, True, False])
y_pred = np.array([0.491, -0.1, 0.64, 1.52, -0.23, -0.23, 1.579, 0.76])
err = rmse(y_true, y_pred)
reference = 0.8520359440774784
assert abs(err - reference) < ATOL
err = rmse(y_true, y_pred, balanced=True)
reference = 0.81219216955952755
assert abs(err - reference) < ATOL
def test_basic():
y_true = np.array([False, True, True, True, False, False, False, True])
y_pred = np.array([0.491, -0.1, 0.64, 1.52, -0.23, -0.23, 1.579, 0.76])
err = rmse(y_true, y_pred)
reference = 0.75064322417510698
assert abs(err - reference) < ATOL
def test_basic():
y_true = np.array([False, True, True, True, False, False, False, True])
y_pred = np.array([0.491, -0.1, 0.64, 1.52, -0.23, -0.23, 1.579, 0.76])
err = rmse(y_true, y_pred)
reference = 0.75064322417510698
assert abs(err - reference) < ATOL
def test_basic100():
rng = np.random.RandomState(42)
y_true = rng.randn(100)
y_pred = rng.randn(y_true.size)
err = rmse(y_true, y_pred)
reference = 1.4024162184449178
assert abs(err - reference) < ATOL
def test_basic100():
rng = np.random.RandomState(42)
y_true = rng.randn(100)
y_pred = rng.randn(y_true.size)
err = rmse(y_true, y_pred)
reference = 1.4024162184449178
assert abs(err - reference) < ATOL
def test_basic_vs_numpy():
rng = np.random.RandomState(42)
y_true = rng.randn(1000)
y_pred = rng.randn(y_true.size)
err = rmse(y_true, y_pred)
reference = np.sqrt(((y_true - y_pred) ** 2.0).mean())
assert abs(err - reference) < ATOL
def test_basic_vs_numpy():
rng = np.random.RandomState(42)
y_true = rng.randn(1000)
y_pred = rng.randn(y_true.size)
err = rmse(y_true, y_pred)
reference = np.sqrt(((y_true - y_pred)**2.).mean())
assert abs(err - reference) < ATOL
