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[vardtc] missing data handling and stochastic update in d

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Max Zwiessele 2014-10-16 12:52:17 +01:00
parent 3358d06e42
commit 26396939e5
6 changed files with 124 additions and 37 deletions
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8
GPy/testing/model_tests.py
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@ -139,16 +139,16 @@ class MiscTests(unittest.TestCase):
np.testing.assert_equal(m.log_likelihood(), m2.log_likelihood())
m.kern.randomize()
m2.kern[''] = m.kern[:]
np.testing.assert_equal(m.log_likelihood(), m2.log_likelihood())
np.testing.assert_almost_equal(m.log_likelihood(), m2.log_likelihood())
m.kern.randomize()
m2.kern[:] = m.kern[:]
np.testing.assert_equal(m.log_likelihood(), m2.log_likelihood())
np.testing.assert_almost_equal(m.log_likelihood(), m2.log_likelihood())
m.kern.randomize()
m2.kern[''] = m.kern['']
np.testing.assert_equal(m.log_likelihood(), m2.log_likelihood())
np.testing.assert_almost_equal(m.log_likelihood(), m2.log_likelihood())
m.kern.randomize()
m2.kern[:] = m.kern[''].values()
np.testing.assert_equal(m.log_likelihood(), m2.log_likelihood())
np.testing.assert_almost_equal(m.log_likelihood(), m2.log_likelihood())
def test_big_model(self):
m = GPy.examples.dimensionality_reduction.mrd_simulation(optimize=0, plot=0, plot_sim=0)