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[active_dims] all kernels now have int arrays as active_dims

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Max Zwiessele 2014-05-09 14:05:22 +01:00
parent 289bb762cc
commit 675d498794
3 changed files with 20 additions and 42 deletions
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12
GPy/testing/kernel_tests.py
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@ -304,23 +304,13 @@ class KernelTestsMiscellaneous(unittest.TestCase):
def setUp(self):
N, D = 100, 10
self.X = np.linspace(-np.pi, +np.pi, N)[:,None] * np.random.uniform(-10,10,D)
self.rbf = GPy.kern.RBF(2, active_dims=slice(0,4,2))
self.rbf = GPy.kern.RBF(2, active_dims=np.arange(0,4,2))
self.linear = GPy.kern.Linear(2, active_dims=(3,9))
self.matern = GPy.kern.Matern32(3, active_dims=np.array([1,7,9]))
self.sumkern = self.rbf + self.linear
self.sumkern += self.matern
self.sumkern.randomize()
def test_active_dims(self):
# test the automatic dim detection expression for slices:
start, stop = 0, 277
for i in range(start,stop,7):
for j in range(1,4):
GPy.kern.Kern(int(np.round((i+1)/j)), slice(0, i+1, j), "testkern")
# test the ability to have only one dim
sk = GPy.kern.RBF(2) + GPy.kern.Matern32(2)
self.assertEqual(sk.input_dim, "rbf:2 Mat32:2 + extra:[]")
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)))
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)))