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fixed up product kernel tests

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This commit is contained in:
James Hensman 2015-03-26 11:45:18 +00:00
parent 624117eaac
commit 02f2bb5c76
2 changed files with 13 additions and 2 deletions
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1
GPy/kern/_src/prod.py
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@ -80,6 +80,7 @@ class Prod(CombinationKernel):
if len(self.parts)==2:
target += self.parts[0].gradients_X(dL_dK*self.parts[1].K(X, X2), X, X2)
target += self.parts[1].gradients_X(dL_dK*self.parts[0].K(X, X2), X, X2)
else:
for combination in itertools.combinations(self.parts, len(self.parts) - 1):
prod = reduce(np.multiply, [p.K(X, X2) for p in combination])
to_update = list(set(self.parts) - set(combination))[0]

14
GPy/testing/kernel_tests.py
View file

@ -256,13 +256,23 @@ class KernelGradientTestsContinuous(unittest.TestCase):
k.randomize()
self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose))
def test_Prod1(self):
k = GPy.kern.RBF(self.D) * GPy.kern.Linear(self.D)
k.randomize()
self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose))
def test_Prod2(self):
k = (GPy.kern.RBF(2, active_dims=[0,4]) * GPy.kern.Linear(self.D))
k = GPy.kern.RBF(2, active_dims=[0,4]) * GPy.kern.Linear(self.D)
k.randomize()
self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose))
def test_Prod3(self):
k = (GPy.kern.RBF(2, active_dims=[0,4]) * GPy.kern.Linear(self.D))
k = GPy.kern.RBF(self.D) * GPy.kern.Linear(self.D) * GPy.kern.Bias(self.D)
k.randomize()
self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose))
def test_Prod4(self):
k = GPy.kern.RBF(2, active_dims=[0,4]) * GPy.kern.Linear(self.D) * GPy.kern.Matern32(2, active_dims=[0,1])
k.randomize()
self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose))