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removed dL_dZ from sympykern

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(it's not needed, we can always use dK_dX)
This commit is contained in:
James Hensman 2012-12-17 11:45:25 +00:00
parent 3c708b3bd6
commit aa4e1cc9c1
1 changed files with 0 additions and 24 deletions
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24
GPy/kern/sympykern.py
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@ -199,23 +199,6 @@ class spkern(kernpart):
%s
"""%(gradient_funcs,"/*"+str(self._sp_k)+"*/") #adding a string representation forces recompile when needed
#Here's some code to do gradients wrt z (should be the same as for X, but this is easier
gradient_funcs_Z = "\n".join(["target[j*D+%i] += partial[i*M+j]*dk_dz%i(%s);"%(q,q,arglist) for q in range(self.D)])
self._dK_dZ_code = \
"""
int i;
int j;
int N = partial_array->dimensions[0];
int M = partial_array->dimensions[1];
int D = X_array->dimensions[1];
for (i=0;i<N; i++){
for (j=0; j<M; j++){
%s
}
}
%s
"""%(gradient_funcs_Z,"/*"+str(self._sp_k)+"*/") #adding a string representation forces recompile when needed
#now for gradients of Kdiag wrt X
self._dKdiag_dX_code= \
"""
@ -262,13 +245,6 @@ class spkern(kernpart):
weave.inline(self._dK_dX_code,arg_names=['target','X','Z','param','partial'],**self.weave_kwargs)
return target
#def dK_dZ(self,X,Z,partial=None):
##TODO: this function might not be necessary
#target = np.zeros_like(Z)
#param = self._param
#weave.inline(self._dK_dZ_code,arg_names=['target','X','Z','param','partial'],**self.weave_kwargs)
#return target
def dKdiag_dX(self,partial,X,target):
param = self._param
Z = X