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Updated svgp kernel gradients

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This commit is contained in:
Alan Saul 2015-04-20 10:07:36 +01:00
parent aaa5020bf1
commit c3f80ece5d
1 changed files with 4 additions and 2 deletions
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6
GPy/core/svgp.py
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@ -54,12 +54,14 @@ class SVGP(SparseGP):
self.kern.update_gradients_full(self.grad_dict['dL_dKmm'], self.Z)
grad = self.kern.gradient.copy()
self.kern.update_gradients_full(self.grad_dict['dL_dKmn'], self.Z, self.X)
grad += self.kern.gradient
grad += self.kern.gradient.copy()
self.kern.update_gradients_diag(self.grad_dict['dL_dKdiag'], self.X)
self.kern.gradient += grad
grad += self.kern.gradient.copy()
self.kern.gradient = grad
if not self.Z.is_fixed:# only compute these expensive gradients if we need them
self.Z.gradient = self.kern.gradients_X(self.grad_dict['dL_dKmm'], self.Z) + self.kern.gradients_X(self.grad_dict['dL_dKmn'], self.Z, self.X)
self.likelihood.update_gradients(self.grad_dict['dL_dthetaL'])
#update the variational parameter gradients:
self.m.gradient = self.grad_dict['dL_dm']