apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-05 09:42:39 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

kernel slices allowed

Browse source
This commit is contained in:
Max Zwiessele 2014-03-14 10:55:16 +00:00
parent b5811011e0
commit 600b1bde3c
3 changed files with 29 additions and 18 deletions
Download patch file Download diff file Expand all files Collapse all files

17
GPy/testing/kernel_tests.py
View file

@ -228,12 +228,12 @@ class KernelGradientTestsContinuous(unittest.TestCase):
self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose))
def test_Prod(self):
k = GPy.kern.Matern32([2,3]) * GPy.kern.RBF([0,4]) + GPy.kern.Linear(self.D)
k = GPy.kern.Matern32(2, active_dims=[2,3]) * 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_Add(self):
k = GPy.kern.Matern32([2,3]) + GPy.kern.RBF([0,4]) + GPy.kern.Linear(self.D)
k = GPy.kern.Matern32(2, active_dims=[2,3]) + 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))
@ -283,15 +283,16 @@ class KernelTestsMiscellaneous(unittest.TestCase):
def setUp(self):
N, D = 100, 10
self.X = np.linspace(-np.pi, +np.pi, N)[:,None] * np.ones(D)
self.rbf = GPy.kern.RBF(range(2))
self.linear = GPy.kern.Linear((3,6))
self.matern = GPy.kern.Matern32(np.array([2,4,7]))
self.rbf = GPy.kern.RBF(2, active_dims=slice(0,4,2))
self.linear = GPy.kern.Linear(2, active_dims=(3,9))
self.matern = GPy.kern.Matern32(3, active_dims=np.array([2,4,9]))
self.sumkern = self.rbf + self.linear
self.sumkern += self.matern
self.sumkern.randomize()
def test_active_dims(self):
self.assertListEqual(self.sumkern.active_dims.tolist(), range(8))
self.assertEqual(self.sumkern.input_dim, 9)
self.assertEqual(self.sumkern.active_dims, slice(9))
def test_which_parts(self):
self.assertTrue(np.allclose(self.sumkern.K(self.X, which_parts=[self.linear, self.matern]), self.linear.K(self.X)+self.matern.K(self.X)))
@ -312,9 +313,9 @@ class KernelTestsNonContinuous(unittest.TestCase):
self.X_block[0:N, -1] = 1
self.X_block[N:N+1, -1] = 2
def test_IndependantOutputs(self):
def test_IndependentOutputs(self):
k = GPy.kern.RBF(self.D)
kern = GPy.kern.IndependentOutputs(self.D+self.D,k)
kern = GPy.kern.IndependentOutputs(k, -1)
self.assertTrue(check_kernel_gradient_functions(kern, X=self.X, X2=self.X2, verbose=verbose))
if __name__ == "__main__":