diff --git a/GPy/likelihoods/Gaussian.py b/GPy/likelihoods/Gaussian.py
index a34b3e6c..b76fd42f 100644
--- a/GPy/likelihoods/Gaussian.py
+++ b/GPy/likelihoods/Gaussian.py
@@ -19,9 +19,13 @@ class Gaussian(likelihood):
             self._std = np.ones((1,D))
             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.trYYT = np.trace(self.YYT)
+        # else:
+        #     self.YYT = None
+        #     self.trYYT = None
+
         self._set_params(np.asarray(variance))
 
 
diff --git a/GPy/models/sparse_GP_regression.py b/GPy/models/sparse_GP_regression.py
index 75c9eeeb..0ef78c32 100644
--- a/GPy/models/sparse_GP_regression.py
+++ b/GPy/models/sparse_GP_regression.py
@@ -6,7 +6,7 @@ import numpy as np
 from sparse_GP import sparse_GP
 from .. import likelihoods
 from .. import kern
-from ..inference.likelihoods import likelihood
+from ..likelihoods import likelihood
 from GP_regression import GP_regression
 
 class sparse_GP_regression(sparse_GP):