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Fixes for Python 3
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28d2317092
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1 changed files with 3 additions and 3 deletions
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@ -32,7 +32,7 @@ class RVTransformationTestCase(unittest.TestCase):
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m.theta.unconstrain()
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m.theta.unconstrain()
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m.theta.constrain(trans)
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m.theta.constrain(trans)
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# The PDF of the transformed variables
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# The PDF of the transformed variables
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p_phi = lambda(phi): np.exp(-m._objective_grads(phi)[0])
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p_phi = lambda phi : np.exp(-m._objective_grads(phi)[0])
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# To the empirical PDF of:
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# To the empirical PDF of:
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theta_s = prior.rvs(100000)
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theta_s = prior.rvs(100000)
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phi_s = trans.finv(theta_s)
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phi_s = trans.finv(theta_s)
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@ -56,7 +56,7 @@ class RVTransformationTestCase(unittest.TestCase):
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# The following test cannot be very accurate
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# The following test cannot be very accurate
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self.assertTrue(np.linalg.norm(pdf_phi - kde(phi)) / np.linalg.norm(kde(phi)) <= 1e-1)
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self.assertTrue(np.linalg.norm(pdf_phi - kde(phi)) / np.linalg.norm(kde(phi)) <= 1e-1)
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# Check the gradients at a few random points
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# Check the gradients at a few random points
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for i in xrange(10):
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for i in range(10):
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m.theta = theta_s[i]
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m.theta = theta_s[i]
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self.assertTrue(m.checkgrad(verbose=True))
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self.assertTrue(m.checkgrad(verbose=True))
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@ -73,7 +73,7 @@ if __name__ == '__main__':
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m.theta.set_prior(prior)
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m.theta.set_prior(prior)
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# The following should return the PDF in terms of the transformed quantities
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# The following should return the PDF in terms of the transformed quantities
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p_phi = lambda(phi): np.exp(-m._objective_grads(phi)[0])
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p_phi = lambda phi : np.exp(-m._objective_grads(phi)[0])
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# Let's look at the transformation phi = log(exp(theta - 1))
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# Let's look at the transformation phi = log(exp(theta - 1))
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trans = GPy.constraints.Exponent()
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trans = GPy.constraints.Exponent()
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