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added kernel tests again

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Max Zwiessele 2014-03-31 12:48:36 +01:00
parent b8566e551e
commit 89cdd1f6d9
1 changed files with 30 additions and 30 deletions
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60
GPy/testing/kernel_tests.py
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@ -349,36 +349,36 @@ class KernelTestsMiscellaneous(unittest.TestCase):
self.assertTrue(np.allclose(self.sumkern.K(self.X, which_parts=[self.linear, self.rbf]), self.linear.K(self.X)+self.rbf.K(self.X)))
self.assertTrue(np.allclose(self.sumkern.K(self.X, which_parts=self.sumkern.parts[0]), self.rbf.K(self.X)))
# class KernelTestsNonContinuous(unittest.TestCase):
# def setUp(self):
# N0 = 3
# N1 = 9
# N2 = 4
# N = N0+N1+N2
# self.D = 3
# self.X = np.random.randn(N, self.D+1)
# indices = np.random.random_integers(0, 2, size=N)
# self.X[indices==0, -1] = 0
# self.X[indices==1, -1] = 1
# self.X[indices==2, -1] = 2
# #self.X = self.X[self.X[:, -1].argsort(), :]
# self.X2 = np.random.randn((N0+N1)*2, self.D+1)
# self.X2[:(N0*2), -1] = 0
# self.X2[(N0*2):, -1] = 1
#
# def test_IndependentOutputs(self):
# k = GPy.kern.RBF(self.D)
# kern = GPy.kern.IndependentOutputs(k, -1, 'ind_single')
# self.assertTrue(check_kernel_gradient_functions(kern, X=self.X, X2=self.X2, verbose=verbose, fixed_X_dims=-1))
# k = [GPy.kern.RBF(1, active_dims=[1], name='rbf1'), GPy.kern.RBF(self.D, name='rbf012'), GPy.kern.RBF(2, active_dims=[0,2], name='rbf02')]
# kern = GPy.kern.IndependentOutputs(k, -1, name='ind_split')
# self.assertTrue(check_kernel_gradient_functions(kern, X=self.X, X2=self.X2, verbose=verbose, fixed_X_dims=-1))
#
# def test_ODE_UY(self):
# kern = GPy.kern.ODE_UY(2, active_dims=[0, self.D])
# X = self.X[self.X[:,-1]!=2]
# X2 = self.X2[self.X2[:,-1]!=2]
# self.assertTrue(check_kernel_gradient_functions(kern, X=X, X2=X2, verbose=verbose, fixed_X_dims=-1))
class KernelTestsNonContinuous(unittest.TestCase):
def setUp(self):
N0 = 3
N1 = 9
N2 = 4
N = N0+N1+N2
self.D = 3
self.X = np.random.randn(N, self.D+1)
indices = np.random.random_integers(0, 2, size=N)
self.X[indices==0, -1] = 0
self.X[indices==1, -1] = 1
self.X[indices==2, -1] = 2
#self.X = self.X[self.X[:, -1].argsort(), :]
self.X2 = np.random.randn((N0+N1)*2, self.D+1)
self.X2[:(N0*2), -1] = 0
self.X2[(N0*2):, -1] = 1
def test_IndependentOutputs(self):
k = GPy.kern.RBF(self.D)
kern = GPy.kern.IndependentOutputs(k, -1, 'ind_single')
self.assertTrue(check_kernel_gradient_functions(kern, X=self.X, X2=self.X2, verbose=verbose, fixed_X_dims=-1))
k = [GPy.kern.RBF(1, active_dims=[1], name='rbf1'), GPy.kern.RBF(self.D, name='rbf012'), GPy.kern.RBF(2, active_dims=[0,2], name='rbf02')]
kern = GPy.kern.IndependentOutputs(k, -1, name='ind_split')
self.assertTrue(check_kernel_gradient_functions(kern, X=self.X, X2=self.X2, verbose=verbose, fixed_X_dims=-1))
def test_ODE_UY(self):
kern = GPy.kern.ODE_UY(2, active_dims=[0, self.D])
X = self.X[self.X[:,-1]!=2]
X2 = self.X2[self.X2[:,-1]!=2]
self.assertTrue(check_kernel_gradient_functions(kern, X=X, X2=X2, verbose=verbose, fixed_X_dims=-1))
if __name__ == "__main__":