diff --git a/GPy/models/GP.py b/GPy/models/GP.py
index b518ce4e..e6c4c1d6 100644
--- a/GPy/models/GP.py
+++ b/GPy/models/GP.py
@@ -173,7 +173,7 @@ class GP(model):
         """
         # normalize X values
         Xnew = (Xnew.copy() - self._Xmean) / self._Xstd
-        mu, var = self._raw_predict(Xnew, which_parts, full_cov)
+        mu, var = self._raw_predict(Xnew, full_cov=full_cov, which_parts=which_parts)
 
         # now push through likelihood
         mean, var, _025pm, _975pm = self.likelihood.predictive_values(mu, var, full_cov)
diff --git a/GPy/models/sparse_GP.py b/GPy/models/sparse_GP.py
index 6eb6fb49..8605e2a8 100644
--- a/GPy/models/sparse_GP.py
+++ b/GPy/models/sparse_GP.py
@@ -245,5 +245,3 @@ class sparse_GP(GP):
                 var = Kxx - np.sum(np.sum(psi2*Kmmi_LmiBLmi[None,:,:],1),1)
 
         return mu, var[:, None]
-
-