Fixed model test

This commit is contained in:
Alan Saul 2015-07-22 18:37:12 +01:00
parent 926b53bfce
commit 42a415e299

View file

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