def test_box_beta_log_prob_simple():
"""
Test log probs for a very simple BoxBeta.
"""
with tf.Graph().as_default():
with tf.Session() as sess:
dist = BoxBeta(np.array([0]), np.array([1]), softplus=False)
actual = sess.run(dist.log_prob(np.array([[0.5, 0.5]]), np.array([0.5])))
expected = np.array([_beta_log_prob(0.5, 0.5, 0.5)])
assert np.allclose(actual, expected, atol=1e-4)
def test_box_beta_log_prob():
"""
Test log probs for known situations of BoxBeta.
"""
with tf.Graph().as_default():
with tf.Session() as sess:
dist = BoxBeta(np.array([[0], [-2]]), np.array([[1], [3]]), softplus=False)
actual = sess.run(dist.log_prob(np.array([[[0.1, 0.5]], [[0.3, 0.7]]]),
np.array([[0.4], [-0.5]])))
expected = np.array([_beta_log_prob(0.1, 0.5, 0.4),
_beta_log_prob(0.3, 0.7, 0.3) - np.log(5)])
assert np.allclose(actual, expected, atol=1e-4)
def test_generic_simple(self):
"""
Run generic tests with an unscaled distribution.
"""
dist = BoxBeta(np.array([0]), np.array([1]))
tester = DistributionTester(self, dist)
tester.test_all()
def test_box_beta_generic():
"""
Run generic tests for BoxBeta.
"""
dist = BoxBeta(np.array([[-3, 7, 1], [1, 2, 3]]),
np.array([[5, 7.1, 3], [2, 3.1, 4]]))
tester = DistributionTester(dist, batch_size=400000)
tester.test_all()
def test_box_beta_generic_simple():
"""
Run generic tests for BoxBeta with an unscaled
distribution.
"""
dist = BoxBeta(np.array([0]), np.array([1]))
tester = DistributionTester(dist)
tester.test_all()
def test_generic(self):
"""
Run generic tests with DistributionTester.
"""
dist = BoxBeta(np.array([[-3, 7, 1], [1, 2, 3]]),
np.array([[5, 7.1, 3], [2, 3.1, 4]]))
tester = DistributionTester(self, dist, batch_size=400000)
tester.test_all()
