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implement Gaussian quadrature psi-statistics for additive kernel

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Zhenwen Dai 2015-09-24 12:25:33 +01:00
parent 76220cd4d2
commit 988f71694a
3 changed files with 34 additions and 10 deletions
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5
GPy/testing/kernel_tests.py
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@ -469,9 +469,10 @@ class Kernel_Psi_statistics_GradientTests(unittest.TestCase):
self.w3n = self.w3n+np.swapaxes(self.w3n, 1,2)
def test_kernels(self):
from GPy.kern import RBF,Linear,MLP
from GPy.kern import RBF,Linear,MLP,Bias,White
Q = self.Z.shape[1]
kernels = [RBF(Q,ARD=True), Linear(Q,ARD=True)]
kernels = [RBF(Q,ARD=True), Linear(Q,ARD=True),MLP(Q,ARD=True), RBF(Q,ARD=True)+Linear(Q,ARD=True)+Bias(Q)+White(Q)
,RBF(Q,ARD=True)+Bias(Q)+White(Q), Linear(Q,ARD=True)+Bias(Q)+White(Q)]
for k in kernels:
k.randomize()