diff --git a/GPy/core/parameterization/parameterized.py b/GPy/core/parameterization/parameterized.py
index 0760f8c6..75085ca2 100644
--- a/GPy/core/parameterization/parameterized.py
+++ b/GPy/core/parameterization/parameterized.py
@@ -17,7 +17,7 @@ class ParametersChangedMeta(type):
         instance.parameters_changed()
         return instance
 
-class Parameterized(Parameterizable, Pickleable):
+class Parameterized(Parameterizable):
     """
     Parameterized class
 
diff --git a/GPy/inference/latent_function_inference/exact_gaussian_inference.py b/GPy/inference/latent_function_inference/exact_gaussian_inference.py
index 554d3d1a..074b67a6 100644
--- a/GPy/inference/latent_function_inference/exact_gaussian_inference.py
+++ b/GPy/inference/latent_function_inference/exact_gaussian_inference.py
@@ -29,7 +29,6 @@ class ExactGaussianInference(object):
         """
         N, D = Y.shape
         if (N>D):
-            print "WARNING: D>N we still need caching of L, such that L*L^T = Y, although fine here"
             return Y
         else:
             #if Y in self.cache, return self.Cache[Y], else store Y in cache and return L.
diff --git a/GPy/inference/latent_function_inference/var_dtc.py b/GPy/inference/latent_function_inference/var_dtc.py
index 0e10a175..7344b204 100644
--- a/GPy/inference/latent_function_inference/var_dtc.py
+++ b/GPy/inference/latent_function_inference/var_dtc.py
@@ -35,9 +35,11 @@ class VarDTC(object):
         return param_to_array(np.sum(np.square(Y)))
 
     def __getstate__(self):
+        # has to be overridden, as Cacher objects cannot be pickled. 
         return self.limit
 
     def __setstate__(self, state):
+        # has to be overridden, as Cacher objects cannot be pickled. 
         self.limit = state
         from ...util.caching import Cacher
         self.get_trYYT = Cacher(self._get_trYYT, self.limit)