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adding a white kernel to a sparseGP test for stability

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James Hensman 2015-08-27 11:53:30 +01:00
parent f221a3b1fa
commit 6b5a027047
1 changed files with 2 additions and 2 deletions
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4
GPy/testing/model_tests.py
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@ -352,8 +352,8 @@ class GradientTests(np.testing.TestCase):
self.check_model(rbf, model_type='SparseGPRegression', dimension=2)
def test_SparseGPRegression_rbf_linear_white_kern_1D(self):
''' Testing the sparse GP regression with rbf kernel on 2d data '''
rbflin = GPy.kern.RBF(1) + GPy.kern.Linear(1)
''' Testing the sparse GP regression with rbf kernel on 1d data '''
rbflin = GPy.kern.RBF(1) + GPy.kern.Linear(1) + GPy.kern.White(1, 1e-5)
self.check_model(rbflin, model_type='SparseGPRegression', dimension=1)
def test_SparseGPRegression_rbf_linear_white_kern_2D(self):