apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-06-02 14:45:15 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

noodling

Browse source
This commit is contained in:
James Hensman 2014-01-23 17:31:03 +00:00
parent 8022de2a86
commit 3c93fa83dd
2 changed files with 4 additions and 4 deletions
Download patch file Download diff file Expand all files Collapse all files

2
GPy/core/sparse_gp.py
View file

@ -68,7 +68,7 @@ class SparseGP(GP):
self.psi1 = self.kern.K(self.X, self.Z)
self.psi2 = None
self.posterior = self.inference_method.inference(??)
#self.posterior = self.inference_method.inference(??)
super(SparseGP, self).parameters_changed()

6
GPy/core/svigp.py
View file

@ -4,12 +4,12 @@
import numpy as np
import pylab as pb
from ..util.linalg import pdinv, mdot, tdot, dpotrs, dtrtrs, jitchol, backsub_both_sides
from gp_base import GPBase
from gp import GP
import time
import sys
class SVIGP(GPBase):
class SVIGP(GP):
"""
Stochastic Variational inference in a Gaussian Process
@ -44,7 +44,7 @@ class SVIGP(GPBase):
def __init__(self, X, likelihood, kernel, Z, q_u=None, batchsize=10, X_variance=None):
GPBase.__init__(self, X, likelihood, kernel, normalize_X=False)
GP.__init__(self, X, likelihood, kernel, normalize_X=False)
self.batchsize=batchsize
self.Y = self.likelihood.Y.copy()
self.Z = Z