diff --git a/GPy/core/gp.py b/GPy/core/gp.py
index 7b010e6c..42dab1b8 100644
--- a/GPy/core/gp.py
+++ b/GPy/core/gp.py
@@ -51,7 +51,7 @@ class GP(Model):
         assert Y.ndim == 2
         logger.info("initializing Y")
 
-        if normalizer is None:
+        if normalizer is True:
             self.normalizer = MeanNorm()
         elif normalizer is False:
             self.normalizer = None
diff --git a/GPy/kern/_src/hierarchical.py b/GPy/kern/_src/hierarchical.py
index 3ca6b444..ac360ec7 100644
--- a/GPy/kern/_src/hierarchical.py
+++ b/GPy/kern/_src/hierarchical.py
@@ -10,11 +10,11 @@ class Hierarchical(Kernpart):
     A kernel part which can reopresent a hierarchy of indepencnce: a generalisation of independent_outputs
 
     """
-    def __init__(self,parts):
+    def __init__(self,parts,name='hierarchy'):
         self.levels = len(parts)
         self.input_dim = parts[0].input_dim + 1
         self.num_params = np.sum([k.num_params for k in parts])
-        self.name = 'hierarchy'
+        self.name = name
         self.parts = parts
 
         self.param_starts = np.hstack((0,np.cumsum([k.num_params for k in self.parts[:-1]])))