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update ep_likelihood_tests

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This commit is contained in:
Martin Bubel 2023-10-04 21:16:20 +02:00
parent 4d41594e18
commit 2eb237f656
1 changed files with 8 additions and 5 deletions
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13
GPy/testing/ep_likelihood_tests.py
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@ -118,9 +118,10 @@ class TestObservationModels:
# for simple single dimension data , marginal likelihood for laplace and EP approximations should not be so far apart.
# TODO: the below were assertAlmostEqual, not sure if allclose will do the job here
assert np.allclose(m1.log_likelihood(), m2.log_likelihood()) # , delta=1
assert np.allcose(m1.log_likelihood(), m3.log_likelihood()) # , delta=1
assert np.allclose(m1.log_likelihood(), m4.log_likelihood()) # , delta=5
# I replace the old delta with the atol
assert np.allclose(m1.log_likelihood(), m2.log_likelihood(), atol=1.0)
assert np.allclose(m1.log_likelihood(), m3.log_likelihood(), atol=1)
assert np.allclose(m1.log_likelihood(), m4.log_likelihood(), atol=5.0)
GPy.util.classification.conf_matrix(probs_mean_lap, self.binary_Y)
GPy.util.classification.conf_matrix(probs_mean_ep_alt, self.binary_Y)
@ -177,7 +178,8 @@ class TestObservationModels:
# m3.optimize(optimizer=optimizer, max_iters=500)
# TODO: this was assertAlmostEqual, not sure if allclose will do the job here
assert np.allclose(m1.log_likelihood(), m2.log_likelihood()) # , delta=200
# I replace the old delta with the atol
assert np.allclose(m1.log_likelihood(), m2.log_likelihood(), atol=200.0)
# self.assertAlmostEqual(m1.log_likelihood(), m3.log_likelihood(), 3)
@ -190,5 +192,6 @@ class TestObservationModels:
if rmse_alt > rmse_lap:
# TODO: this was assertAlmostEqual, not sure if allclose will do the job here
assert np.allclose(rmse_lap, rmse_alt) # , delta=1.5
# I replace the old delta with the atol
assert np.allclose(rmse_lap, rmse_alt, atol=1.5)
# m3.optimize(optimizer=optimizer, max_iters=500)