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Fixed bug in the product of kernels with tied parameters

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Nicolas 2013-02-06 09:52:54 +00:00
parent a1568ca1c8
commit b0f6495ed4
3 changed files with 10 additions and 3 deletions
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2
GPy/kern/kern.py
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@ -236,6 +236,8 @@ class kern(parameterised):
X2 = X
target = np.zeros(self.Nparam)
[p.dK_dtheta(partial[s1,s2],X[s1,i_s],X2[s2,i_s],target[ps]) for p,i_s,ps,s1,s2 in zip(self.parts, self.input_slices, self.param_slices, slices1, slices2)]
#TODO: transform the gradients here!
return target
def dK_dX(self,partial,X,X2=None,slices1=None,slices2=None):