apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-10 12:32:40 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

Fixed model test

Browse source
This commit is contained in:
Alan Saul 2015-07-22 18:37:12 +01:00
parent 926b53bfce
commit 42a415e299
1 changed files with 5 additions and 2 deletions
Download patch file Download diff file Expand all files Collapse all files

7
GPy/models/gp_var_gauss.py
View file

@ -9,6 +9,7 @@ from ..core.parameterization import ObsAr
from .. import kern from .. import kern
from ..core.parameterization.param import Param from ..core.parameterization.param import Param
from ..util.linalg import pdinv from ..util.linalg import pdinv
from ..likelihoods import Gaussian
log_2_pi = np.log(2*np.pi) log_2_pi = np.log(2*np.pi)
@ -25,8 +26,10 @@ class GPVariationalGaussianApproximation(Model):
pages = {786--792}, pages = {786--792},
} }
""" """
def __init__(self, X, Y, kernel, likelihood,Y_metadata=None): def __init__(self, X, Y, kernel, likelihood=None, Y_metadata=None):
Model.__init__(self,'Variational GP classification') Model.__init__(self,'Variational GP')
if likelihood is None:
likelihood = Gaussian()
# accept the construction arguments # accept the construction arguments
self.X = ObsAr(X) self.X = ObsAr(X)
self.Y = Y self.Y = Y