def test_sdg_likelihood_categorical():
sdg = DataGenerator(10, ['categorical']*2, view_weights=1)
x = [0, 1, 2]
lls = sdg.log_likelihood(x, 0)
assert len(lls) == 3
assert lls.shape == (3,)
def test_sdg_likelihood_categorical():
sdg = DataGenerator(10, ['categorical'] * 2, view_weights=1)
x = [0, 1, 2]
lls = sdg.log_likelihood(x, 0)
assert len(lls) == 3
assert lls.shape == (3, )
def test_sdg_likelihood_continuous():
sdg = DataGenerator(10, ['continuous']*2, view_weights=1)
x = np.linspace(0, 6, 10)
lls = sdg.log_likelihood(x, 0)
assert len(lls) == 10
assert lls.shape == (10,)
def test_sdg_likelihood_continuous():
sdg = DataGenerator(10, ['continuous'] * 2, view_weights=1)
x = np.linspace(0, 6, 10)
lls = sdg.log_likelihood(x, 0)
assert len(lls) == 10
assert lls.shape == (10, )
