def test_most_probable(self):
model = HMM(8, 8)
model.forward_step((4, 2))
self.assertEqual(model.most_probable()[0], (4, 2))
model.forward_step((4, 3))
self.assertEqual(model.most_probable()[0], (4, 3))
model.forward_step((4, 6))
self.assertEqual(model.most_probable()[0], (4, 4))
model.forward_step((5, 7))
self.assertEqual(model.most_probable()[0], (4, 5))
model.forward_step((5, 2))
self.assertEqual(model.most_probable()[0], (4, 4))
def test_most_probable(self):
model = HMM(8, 8)
model.forward_step((4, 2))
self.assertEqual(model.most_probable()[0], (4, 2))
model.forward_step((4, 3))
self.assertEqual(model.most_probable()[0], (4, 3))
model.forward_step((4, 6))
self.assertEqual(model.most_probable()[0], (4, 4))
model.forward_step((5, 7))
self.assertEqual(model.most_probable()[0], (4, 5))
model.forward_step((5, 2))
self.assertEqual(model.most_probable()[0], (4, 4))
def test_forward(self):
model = HMM(8, 8)
model.forward_step((4, 4))
self.assertNotEqual(model.f_matrix[5], float(1) / (8 * 8 * 4))
def test_forward(self):
model = HMM(8, 8)
model.forward_step((4, 4))
self.assertNotEqual(model.f_matrix[5], float(1) / (8 * 8 * 4))