apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-15 06:52:39 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

JH bugfix for slices

Browse source
This commit is contained in:
Nicolo Fusi 2013-03-06 16:00:14 +00:00
parent 9be781894f
commit 81810d3a7b
1 changed files with 2 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

4
GPy/models/GP.py
View file

@ -72,7 +72,7 @@ class GP(model):
self.likelihood._set_params(p[self.kern.Nparam_transformed():]) # test by Nicolas
self.K = self.kern.K(self.X,slices1=self.Xslices)
self.K = self.kern.K(self.X,slices1=self.Xslices,slices2=self.Xslices)
self.K += self.likelihood.covariance_matrix
self.Ki, self.L, self.Li, self.K_logdet = pdinv(self.K)
@ -129,7 +129,7 @@ class GP(model):
For the likelihood parameters, pass in alpha = K^-1 y
"""
return np.hstack((self.kern.dK_dtheta(partial=self.dL_dK,X=self.X), self.likelihood._gradients(partial=np.diag(self.dL_dK))))
return np.hstack((self.kern.dK_dtheta(partial=self.dL_dK,X=self.X,slices1=self.Xslices,slices2=self.Xslices), self.likelihood._gradients(partial=np.diag(self.dL_dK))))
def _raw_predict(self,_Xnew,slices=None, full_cov=False):
"""