def test_likelihood(self):
"""Test log-likelihood."""
lam = [.5, 1.5, 2]
theta = np.array(lam)
size = (10, len(lam))
data = np.random.normal(size=size)
skst = MvSN(ndim=len(lam), lam=lam, data=data)
logl1 = skst.likelihood(theta)
logl2 = skst.likelihood(theta * 2)
self.assertIsInstance(logl1, float)
self.assertNotEqual(logl1, logl2)
npt.assert_array_equal(skst.data, data)
def test_likelihood(self):
"""Test log-likelihood."""
lam = [.5, 1.5, 2]
theta = np.array(lam)
size = (10, len(lam))
data = np.random.normal(size=size)
skst = MvSN(ndim=len(lam), lam=lam, data=data)
logl1 = skst.likelihood(theta)
logl2 = skst.likelihood(theta * 2)
self.assertIsInstance(logl1, float)
self.assertNotEqual(logl1, logl2)
npt.assert_array_equal(skst.data, data)
