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Classification examples corrected (2/3)

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Ricardo Andrade 2013-02-01 16:21:26 +00:00
parent 5593d53828
commit 24b6dfa086
3 changed files with 54 additions and 96 deletions
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19
GPy/testing/unit_tests.py
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@ -154,17 +154,16 @@ class GradientTests(unittest.TestCase):
m.constrain_positive('(linear|bias|white)')
self.assertTrue(m.checkgrad())
def test_GP_EP(self):
return # Disabled TODO
def test_GP_EP_probit(self):
N = 20
X = np.hstack([np.random.rand(N/2)+1,np.random.rand(N/2)-1])[:,None]
k = GPy.kern.rbf(1) + GPy.kern.white(1)
Y = np.hstack([np.ones(N/2),-np.ones(N/2)])[:,None]
likelihood = GPy.inference.likelihoods.probit(Y)
m = GPy.models.GP_EP(X,likelihood,k)
m.constrain_positive('(var|len)')
m.approximate_likelihood()
self.assertTrue(m.checkgrad())
X = np.hstack([np.random.normal(5,2,N/2),np.random.normal(10,2,N/2)])[:,None]
Y = np.hstack([np.ones(N/2),np.repeat(-1,N/2)])[:,None]
kernel = GPy.kern.rbf(1)
distribution = GPy.likelihoods.likelihood_functions.probit()
likelihood = GPy.likelihoods.EP(Y,distribution)
m = GPy.models.GP(X,kernel,likelihood=likelihood)
m.ensure_default_constraints()
self.assertTrue(m.EPEM)
@unittest.skip("FITC will be broken for a while")
def test_generalized_FITC(self):