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likelihood test

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Max Zwiessele 2014-03-10 08:17:19 +00:00
parent 4ce2eb2ac6
commit a9a285c790
1 changed files with 6 additions and 6 deletions
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8
GPy/testing/likelihood_tests.py
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@ -664,8 +664,7 @@ class LaplaceTests(unittest.TestCase):
print m1 print m1
print m2 print m2
m2.parameters_changed() m2[:] = m1[:]
#m2._set_params(m1._get_params())
#Predict for training points to get posterior mean and variance #Predict for training points to get posterior mean and variance
post_mean, post_var, _, _ = m1.predict(X) post_mean, post_var, _, _ = m1.predict(X)
@ -701,8 +700,9 @@ class LaplaceTests(unittest.TestCase):
np.testing.assert_almost_equal(m1.log_likelihood(), m2.log_likelihood(), decimal=2) np.testing.assert_almost_equal(m1.log_likelihood(), m2.log_likelihood(), decimal=2)
#Check marginals are the same with random #Check marginals are the same with random
m1.randomize() m1.randomize()
#m2._set_params(m1._get_params()) import ipdb;ipdb.set_trace()
m2.parameters_changed() m2[:] = m1[:]
np.testing.assert_almost_equal(m1.log_likelihood(), m2.log_likelihood(), decimal=2) np.testing.assert_almost_equal(m1.log_likelihood(), m2.log_likelihood(), decimal=2)
#Check they are checkgradding #Check they are checkgradding