diff --git a/GPy/core/sparse_gp.py b/GPy/core/sparse_gp.py
index 2c0e7547..29daa71d 100644
--- a/GPy/core/sparse_gp.py
+++ b/GPy/core/sparse_gp.py
@@ -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()
 
 
diff --git a/GPy/core/svigp.py b/GPy/core/svigp.py
index 95c3b592..73b6d090 100644
--- a/GPy/core/svigp.py
+++ b/GPy/core/svigp.py
@@ -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