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Moved posterior_covariance to Posterior class

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Andrei Paleyes 2018-01-08 14:19:23 +00:00
parent 0e2ec01839
commit ae3ea375f8
3 changed files with 27 additions and 17 deletions
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4
GPy/testing/model_tests.py
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@ -1084,7 +1084,7 @@ class GradientTests(np.testing.TestCase):
Y = np.array([[1], [2]])
m = GPy.models.GPRegression(X1, Y, kernel=k)
result = m.posterior_covariance(X1, X2)
result = m.posterior_covariance_between_points(X1, X2)
expected = np.array([[0.4, 2.2], [1.0, 1.0]]) / 3.0
self.assertTrue(np.allclose(result, expected))
@ -1095,7 +1095,7 @@ class GradientTests(np.testing.TestCase):
m = _create_missing_data_model(k, Q)
with self.assertRaises(RuntimeError):
m.posterior_covariance(np.array([[1], [2]]), np.array([[3], [4]]))
m.posterior_covariance_between_points(np.array([[1], [2]]), np.array([[3], [4]]))
def _create_missing_data_model(kernel, Q):
D1, D2, D3, N, num_inducing = 13, 5, 8, 400, 3