diff --git a/GPy/likelihoods/likelihood.py b/GPy/likelihoods/likelihood.py
index 87b7315e..790c6ba4 100644
--- a/GPy/likelihoods/likelihood.py
+++ b/GPy/likelihoods/likelihood.py
@@ -178,7 +178,7 @@ class Likelihood(Parameterized):
             stop
 
         dF_dtheta = None # Not yet implemented
-        return F.reshape(*shape), dF_dm.reshape(*shape), dF_dv.reshape(*shape), None
+        return F.reshape(*shape), dF_dm.reshape(*shape), dF_dv.reshape(*shape), dF_dtheta
 
     def predictive_mean(self, mu, variance, Y_metadata=None):
         """
diff --git a/GPy/plotting/matplot_dep/models_plots.py b/GPy/plotting/matplot_dep/models_plots.py
index ed024c0a..d2d5a8e2 100644
--- a/GPy/plotting/matplot_dep/models_plots.py
+++ b/GPy/plotting/matplot_dep/models_plots.py
@@ -172,7 +172,7 @@ def plot_fit(model, plot_limits=None, which_data_rows='all',
         if hasattr(model,"Z"):
             #Zu = model.Z[:,free_dims] * model._Xscale[:,free_dims] + model._Xoffset[:,free_dims]
             Zu = Z[:,free_dims]
-            plots['inducing_inputs'] = ax.plot(Zu[:,free_dims[0]], Zu[:,free_dims[1]], 'wo')
+            plots['inducing_inputs'] = ax.plot(Zu[:,0], Zu[:,1], 'wo')
 
     else:
         raise NotImplementedError, "Cannot define a frame with more than two input dimensions"