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decent gradients for most parameters

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Nicolo Fusi 2013-01-28 15:55:40 +00:00
parent eb3061a9f0
commit 8b6e244cf1
5 changed files with 20 additions and 20 deletions
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2
GPy/kern/kern.py
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@ -277,7 +277,7 @@ class kern(parameterised):
[p.dpsi2_dZ(partial[s2,s2],Z[s2,i_s],mu[s1,i_s],S[s1,i_s],target[s2,i_s]) for p,i_s,s1,s2 in zip(self.parts,self.input_slices,slices1,slices2)]
return target
def dpsi2_dmuS(self,Z,mu,S,slices1=None,slices2=None):
def dpsi2_dmuS(self,partial,Z,mu,S,slices1=None,slices2=None):
"""return shapes are N,M,M,Q"""
slices1, slices2 = self._process_slices(slices1,slices2)
target_mu, target_S = np.zeros((2,mu.shape[0],mu.shape[1]))