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[merge] setup.py

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Max Zwiessele 2015-09-10 08:46:41 +01:00
commit 6acf5dcfac
2 changed files with 6 additions and 5 deletions
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6
GPy/testing/rv_transformation_tests.py
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@ -32,7 +32,7 @@ class RVTransformationTestCase(unittest.TestCase):
m.theta.unconstrain()
m.theta.constrain(trans)
# The PDF of the transformed variables
p_phi = lambda(phi): np.exp(-m._objective_grads(phi)[0])
p_phi = lambda phi : np.exp(-m._objective_grads(phi)[0])
# To the empirical PDF of:
theta_s = prior.rvs(100000)
phi_s = trans.finv(theta_s)
@ -56,7 +56,7 @@ class RVTransformationTestCase(unittest.TestCase):
# The following test cannot be very accurate
self.assertTrue(np.linalg.norm(pdf_phi - kde(phi)) / np.linalg.norm(kde(phi)) <= 1e-1)
# Check the gradients at a few random points
for i in xrange(10):
for i in range(10):
m.theta = theta_s[i]
self.assertTrue(m.checkgrad(verbose=True))
@ -73,7 +73,7 @@ if __name__ == '__main__':
m.theta.set_prior(prior)
# The following should return the PDF in terms of the transformed quantities
p_phi = lambda(phi): np.exp(-m._objective_grads(phi)[0])
p_phi = lambda phi : np.exp(-m._objective_grads(phi)[0])
# Let's look at the transformation phi = log(exp(theta - 1))
trans = GPy.constraints.Exponent()