apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-02 00:02:38 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

[inference] less constant jitter, and jitter adjustements

Browse source 
Conflicts:
	GPy/util/linalg.py
This commit is contained in:
mzwiessele 2014-07-22 09:21:01 -07:00
parent 51e48f7508
commit 8c80fb9c52
4 changed files with 30 additions and 19 deletions
Download patch file Download diff file Expand all files Collapse all files

8
GPy/core/sparse_gp.py
View file

@ -60,10 +60,14 @@ class SparseGP(GP):
self.likelihood.update_gradients(self.grad_dict['dL_dthetaL'])
if isinstance(self.X, VariationalPosterior):
#gradients wrt kernel
dL_dKmm = self.grad_dict.pop('dL_dKmm')
dL_dKmm = self.grad_dict['dL_dKmm']
self.kern.update_gradients_full(dL_dKmm, self.Z, None)
target = self.kern.gradient.copy()
self.kern.update_gradients_expectations(variational_posterior=self.X, Z=self.Z, dL_dpsi0=self.grad_dict['dL_dpsi0'], dL_dpsi1=self.grad_dict['dL_dpsi1'], dL_dpsi2=self.grad_dict['dL_dpsi2'])
self.kern.update_gradients_expectations(variational_posterior=self.X,
Z=self.Z,
dL_dpsi0=self.grad_dict['dL_dpsi0'],
dL_dpsi1=self.grad_dict['dL_dpsi1'],
dL_dpsi2=self.grad_dict['dL_dpsi2'])
self.kern.gradient += target
#gradients wrt Z