def test_is_normalized(self):
values = np.array([[0.7, 0.5], [0.3, 0.5]])
c = Categorical(values=values)
self.assertTrue(c.is_normalized())
values = np.array([[0.2, 0.8], [0.3, 0.5]])
c = Categorical(values=values)
self.assertFalse(c.is_normalized())
def test_normalize_multi_factor(self):
values_1 = np.random.rand(5)
values_2 = np.random.rand(4, 3)
values = np.array([values_1, values_2])
d = Dirichlet(values=values)
normed = Categorical(values=d.mean(return_numpy=True))
self.assertTrue(normed.is_normalized())
def test_normalize_multi_factor(self):
values_1 = np.random.rand(5)
values_2 = np.random.rand(4, 3)
values = np.array([values_1, values_2])
c = Categorical(values=values)
c.normalize()
self.assertTrue(c.is_normalized())
