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Merge branch 'params' of github.com:SheffieldML/GPy into params

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James Hensman 2014-03-14 10:29:18 +00:00
commit 1ed7d73219
1 changed files with 22 additions and 5 deletions
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27
GPy/testing/kernel_tests.py
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@ -258,20 +258,20 @@ class KernelGradientTestsContinuous(unittest.TestCase):
# self.N, self.D = 100, 1 # self.N, self.D = 100, 1
# self.X = np.random.randn(self.N,self.D) # self.X = np.random.randn(self.N,self.D)
# self.X2 = np.random.randn(self.N+10,self.D) # self.X2 = np.random.randn(self.N+10,self.D)
# #
# continuous_kerns = ['RBF', 'Linear'] # continuous_kerns = ['RBF', 'Linear']
# self.kernclasses = [getattr(GPy.kern, s) for s in continuous_kerns] # self.kernclasses = [getattr(GPy.kern, s) for s in continuous_kerns]
# #
# def test_PeriodicExponential(self): # def test_PeriodicExponential(self):
# k = GPy.kern.PeriodicExponential(self.D) # k = GPy.kern.PeriodicExponential(self.D)
# k.randomize() # k.randomize()
# self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose)) # self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose))
# #
# def test_PeriodicMatern32(self): # def test_PeriodicMatern32(self):
# k = GPy.kern.PeriodicMatern32(self.D) # k = GPy.kern.PeriodicMatern32(self.D)
# k.randomize() # k.randomize()
# self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose)) # self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose))
# #
# def test_PeriodicMatern52(self): # def test_PeriodicMatern52(self):
# k = GPy.kern.PeriodicMatern52(self.D) # k = GPy.kern.PeriodicMatern52(self.D)
# k.randomize() # k.randomize()
@ -279,7 +279,6 @@ class KernelGradientTestsContinuous(unittest.TestCase):
class KernelTestsMiscellaneous(unittest.TestCase): class KernelTestsMiscellaneous(unittest.TestCase):
def setUp(self): def setUp(self):
N, D = 100, 10 N, D = 100, 10
self.X = np.linspace(-np.pi, +np.pi, N)[:,None] * np.ones(D) self.X = np.linspace(-np.pi, +np.pi, N)[:,None] * np.ones(D)
@ -298,6 +297,24 @@ 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.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))) 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):
N = 100
N1 = 110
self.D = 2
D = self.D
self.X = np.random.randn(N,D)
self.X2 = np.random.randn(N1,D)
self.X_block = np.zeros((N+N1, D+D+1))
self.X_block[0:N, 0:D] = self.X
self.X_block[N:N+N1, D:D+D] = self.X2
self.X_block[0:N, -1] = 1
self.X_block[N:N+1, -1] = 2
def test_IndependantOutputs(self):
k = GPy.kern.RBF(self.D)
kern = GPy.kern.IndependentOutputs(self.D+self.D,k)
self.assertTrue(check_kernel_gradient_functions(kern, X=self.X, X2=self.X2, verbose=verbose))
if __name__ == "__main__": if __name__ == "__main__":
print "Running unit tests, please be (very) patient..." print "Running unit tests, please be (very) patient..."