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bug fix: inference_X for add kernel

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This commit is contained in:
Zhenwen Dai 2014-10-20 14:01:31 +01:00
parent 0834aafdd0
commit 0754275db7
1 changed files with 3 additions and 3 deletions
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6
GPy/kern/_src/add.py
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@ -151,10 +151,10 @@ class Add(CombinationKernel):
def gradients_qX_expectations(self, dL_dpsi0, dL_dpsi1, dL_dpsi2, Z, variational_posterior):
from static import White, Bias
target_grads = [np.zeros(v.shape) for v in variational_posterior.parameters]
for p1 in self.parameters:
for p1 in self.parts:
#compute the effective dL_dpsi1. extra terms appear becaue of the cross terms in psi2!
eff_dL_dpsi1 = dL_dpsi1.copy()
for p2 in self.parameters:
for p2 in self.parts:
if p2 is p1:
continue
if isinstance(p2, White):
@ -169,7 +169,7 @@ class Add(CombinationKernel):
def add(self, other):
if isinstance(other, Add):
other_params = other.parameters[:]
other_params = other.parts[:]
for p in other_params:
other.unlink_parameter(p)
self.link_parameters(*other_params)