apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-24 14:15:14 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

independent output gradients

Browse source
This commit is contained in:
James Hensman 2014-03-13 17:02:29 +00:00
parent c302e515e2
commit 433b213165
1 changed files with 1 additions and 1 deletions
Download patch file Download diff file Expand all files Collapse all files

2
GPy/kern/_src/independent_outputs.py
View file

@ -83,7 +83,7 @@ class IndependentOutputs(Kern):
target = np.zeros_like(X) target = np.zeros_like(X)
slices = index_to_slices(X[:,self.index_dim]) slices = index_to_slices(X[:,self.index_dim])
if X2 is None: if X2 is None:
[[np.copyto(target[s,self.kern.active_dims], self.kern.gradients_X(dL_dK[s,s],X[s],X[ss])) for s, ss in product(slices_i, slices_i)] for slices_i in slices] [[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: else:
X2,slices2 = X2[:,:self.index_dim],index_to_slices(X2[:,-1]) 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)] [[[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)]