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prior tests renewed

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Max Zwiessele 2014-03-14 12:31:28 +00:00
parent 2ec2eb84ce
commit a800f4b7ed
1 changed files with 3 additions and 10 deletions
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13
GPy/testing/prior_tests.py
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@ -15,7 +15,7 @@ class PriorTests(unittest.TestCase):
X, y = X[:, None], y[:, None] X, y = X[:, None], y[:, None]
m = GPy.models.GPRegression(X, y) m = GPy.models.GPRegression(X, y)
lognormal = GPy.priors.LogGaussian(1, 2) lognormal = GPy.priors.LogGaussian(1, 2)
m.set_prior('rbf', lognormal) m.rbf.set_prior(lognormal)
m.randomize() m.randomize()
self.assertTrue(m.checkgrad()) self.assertTrue(m.checkgrad())
@ -28,7 +28,7 @@ class PriorTests(unittest.TestCase):
X, y = X[:, None], y[:, None] X, y = X[:, None], y[:, None]
m = GPy.models.GPRegression(X, y) m = GPy.models.GPRegression(X, y)
Gamma = GPy.priors.Gamma(1, 1) Gamma = GPy.priors.Gamma(1, 1)
m.set_prior('rbf', Gamma) m.rbf.set_prior(Gamma)
m.randomize() m.randomize()
self.assertTrue(m.checkgrad()) self.assertTrue(m.checkgrad())
@ -41,16 +41,9 @@ class PriorTests(unittest.TestCase):
X, y = X[:, None], y[:, None] X, y = X[:, None], y[:, None]
m = GPy.models.GPRegression(X, y) m = GPy.models.GPRegression(X, y)
gaussian = GPy.priors.Gaussian(1, 1) gaussian = GPy.priors.Gaussian(1, 1)
success = False
# setting a Gaussian prior on non-negative parameters # setting a Gaussian prior on non-negative parameters
# should raise an assertionerror. # should raise an assertionerror.
try: self.assertRaises(AssertionError, m.rbf.set_prior, gaussian)
m.set_prior('rbf', gaussian)
except AssertionError:
success = True
self.assertTrue(success)
if __name__ == "__main__": if __name__ == "__main__":