apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-18 13:55:14 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

fixed import error

Browse source
This commit is contained in:
Nicolo Fusi 2013-02-15 13:39:01 +00:00
parent 5c7d37427c
commit cc158d64a9
2 changed files with 6 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

6
GPy/likelihoods/Gaussian.py
View file

@ -19,9 +19,13 @@ class Gaussian(likelihood):
self._std = np.ones((1,D)) self._std = np.ones((1,D))
self.Y = self.data self.Y = self.data
#TODO: make this work efficiently (only compute YYT if D>>N) # if self.D > self.N:
self.YYT = np.dot(self.Y,self.Y.T) self.YYT = np.dot(self.Y,self.Y.T)
self.trYYT = np.trace(self.YYT) self.trYYT = np.trace(self.YYT)
# else:
# self.YYT = None
# self.trYYT = None
self._set_params(np.asarray(variance)) self._set_params(np.asarray(variance))

2
GPy/models/sparse_GP_regression.py
View file

@ -6,7 +6,7 @@ import numpy as np
from sparse_GP import sparse_GP from sparse_GP import sparse_GP
from .. import likelihoods from .. import likelihoods
from .. import kern from .. import kern
from ..inference.likelihoods import likelihood from ..likelihoods import likelihood
from GP_regression import GP_regression from GP_regression import GP_regression
class sparse_GP_regression(sparse_GP): class sparse_GP_regression(sparse_GP):