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fix: uniform prior tests

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mzwiessele 2017-10-02 14:36:23 +01:00
parent 28487a9551
commit c7e3eedd30
1 changed files with 29 additions and 0 deletions
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29
GPy/testing/prior_tests.py
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@ -83,6 +83,35 @@ class PriorTests(unittest.TestCase):
# should raise an assertionerror.
self.assertRaises(AssertionError, m.rbf.set_prior, gaussian)
def test_uniform(self):
xmin, xmax = 1, 2.5*np.pi
b, C, SNR = 1, 0, 0.1
X = np.linspace(xmin, xmax, 500)
y = b*X + C + 1*np.sin(X)
y += 0.05*np.random.randn(len(X))
X, y = X[:, None], y[:, None]
m = GPy.models.SparseGPRegression(X, y)
uniform = GPy.priors.Uniform(0, 2)
m.rbf.set_prior(uniform)
m.randomize()
self.assertTrue(m.checkgrad())
m.Z.set_prior(uniform)
m.randomize()
self.assertTrue(m.checkgrad())
m.Z.unconstrain()
uniform = GPy.priors.Uniform(-1, 10)
m.Z.set_prior(uniform)
m.randomize()
self.assertTrue(m.checkgrad())
m.Z.constrain_negative()
uniform = GPy.priors.Uniform(-1, 0)
m.Z.set_prior(uniform)
m.randomize()
self.assertTrue(m.checkgrad())
def test_set_gaussian_for_reals(self):
xmin, xmax = 1, 2.5*np.pi
b, C, SNR = 1, 0, 0.1