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

_highest_parent_ now follows the tree, dK_dX > gradient_X, added update_grads_variational to linear, bgplvm for new framework

Browse source
This commit is contained in:
Max Zwiessele 2014-02-10 15:12:49 +00:00
parent 87dab55fe1
commit e0c68d5eb3
41 changed files with 269 additions and 291 deletions
Download patch file Download diff file Expand all files Collapse all files

8
GPy/inference/latent_function_inference/fitc.py
View file

@ -118,8 +118,8 @@ class FITC(SparseGP):
_dKmm = .5*(V_n**2 + alpha_n + gamma_n**2 - 2.*gamma_k) * K_pp_K #Diag_dD_dKmm
self._dpsi1_dtheta += self.kern.dK_dtheta(_dpsi1,self.X[i:i+1,:],self.Z)
self._dKmm_dtheta += self.kern.dK_dtheta(_dKmm,self.Z)
self._dKmm_dX += self.kern.dK_dX(_dKmm ,self.Z)
self._dpsi1_dX += self.kern.dK_dX(_dpsi1.T,self.Z,self.X[i:i+1,:])
self._dKmm_dX += self.kern.gradients_X(_dKmm ,self.Z)
self._dpsi1_dX += self.kern.gradients_X(_dpsi1.T,self.Z,self.X[i:i+1,:])
# the partial derivative vector for the likelihood
if self.likelihood.num_params == 0:
@ -170,8 +170,8 @@ class FITC(SparseGP):
return dL_dtheta
def dL_dZ(self):
dL_dZ = self.kern.dK_dX(self._dL_dpsi1.T,self.Z,self.X)
dL_dZ += self.kern.dK_dX(self._dL_dKmm,X=self.Z)
dL_dZ = self.kern.gradients_X(self._dL_dpsi1.T,self.Z,self.X)
dL_dZ += self.kern.gradients_X(self._dL_dKmm,X=self.Z)
dL_dZ += self._dpsi1_dX
dL_dZ += self._dKmm_dX
return dL_dZ

2
GPy/inference/latent_function_inference/varDTC.py
View file

@ -80,7 +80,7 @@ class VarDTC(object):
# no backsubstitution because of bound explosion on tr(A) if not...
LmInv, _ = dtrtri(Lm, lower=1)
A = LmInv.T.dot(psi2_beta.dot(LmInv))
print A.sum()
#print A.sum()
else:
if het_noise:
tmp = psi1 * (np.sqrt(beta.reshape(num_data, 1)))