apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-21 14:05:14 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

independent output kernel gradients x

Browse source
This commit is contained in:
Max Zwiessele 2014-03-14 12:32:47 +00:00
parent 3e93579e3d
commit d02f212612
1 changed files with 4 additions and 4 deletions
Download patch file Download diff file Expand all files Collapse all files

8
GPy/kern/_src/independent_outputs.py
View file

@ -80,19 +80,19 @@ class IndependentOutputs(CombinationKernel):
self.kern.gradient = target
def gradients_X(self,dL_dK, X, X2=None):
target = np.zeros_like(X)
target = np.zeros(X.shape)
slices = index_to_slices(X[:,self.index_dim])
if X2 is None:
[[np.copyto(target[s,self.kern.active_dims], self.kern.gradients_X(dL_dK[s,ss],X[s],X[ss])) for s, ss in itertools.product(slices_i, slices_i)] for slices_i in slices]
else:
X2,slices2 = X2[:,:self.index_dim],index_to_slices(X2[:,-1])
[[[np.copyto(target[s,:self.index_dim], self.kern.gradients_X(dL_dK[s,s2], X[s], X2[s2])) for s in slices_i] for s2 in slices_j] for slices_i,slices_j in zip(slices,slices2)]
slices2 = index_to_slices(X2[:,self.index_dim])
[[[np.copyto(target[s,self.kern.active_dims], self.kern.gradients_X(dL_dK[s,s2], X[s], X2[s2])) for s in slices_i] for s2 in slices_j] for slices_i,slices_j in zip(slices,slices2)]
return target
def gradients_X_diag(self, dL_dKdiag, X):
slices = index_to_slices(X[:,self.index_dim])
target = np.zeros(X.shape)
[[np.copyto(target[s,:-1], self.kern.gradients_X_diag(dL_dKdiag[s],X[s])) for s in slices_i] for slices_i in slices]
[[np.copyto(target[s,self.kern.active_dims], self.kern.gradients_X_diag(dL_dKdiag[s],X[s])) for s in slices_i] for slices_i in slices]
return target
def update_gradients_diag(self, dL_dKdiag, X):