diff --git a/GPy/core/svigp.py b/GPy/core/svigp.py
index b94e11a1..d47d46f1 100644
--- a/GPy/core/svigp.py
+++ b/GPy/core/svigp.py
@@ -77,6 +77,8 @@ class SVIGP(GPBase):
         self._param_steplength_trace = []
         self._vb_steplength_trace = []
 
+        self.ensure_default_constraints()
+
     def getstate(self):
         steplength_params = [self.hbar_t, self.tau_t, self.gbar_t, self.gbar_t1, self.gbar_t2, self.hbar_tp, self.tau_tp, self.gbar_tp, self.adapt_param_steplength, self.adapt_vb_steplength, self.vb_steplength, self.param_steplength]
         return GPBase.getstate(self) + \
diff --git a/GPy/kern/parts/__init__.py b/GPy/kern/parts/__init__.py
index d8e7f8e6..672a7802 100644
--- a/GPy/kern/parts/__init__.py
+++ b/GPy/kern/parts/__init__.py
@@ -13,8 +13,8 @@ import linear
 import Matern32
 import Matern52
 import mlp
-import ODE_1
-import ODE_UY
+# import ODE_1
+# import ODE_UY
 import periodic_exponential
 import periodic_Matern32
 import periodic_Matern52
diff --git a/GPy/util/config.py b/GPy/util/config.py
index 02796e0b..b0789fe0 100644
--- a/GPy/util/config.py
+++ b/GPy/util/config.py
@@ -8,8 +8,8 @@ config = ConfigParser.ConfigParser()
 home = os.getenv('HOME') or os.getenv('USERPROFILE')
 user_file = os.path.join(home,'.gpy_config.cfg')
 default_file = os.path.abspath(os.path.join(os.path.dirname( __file__ ), '..', 'gpy_config.cfg'))
-print user_file, os.path.isfile(user_file)
-print default_file, os.path.isfile(default_file)
+# print user_file, os.path.isfile(user_file)
+# print default_file, os.path.isfile(default_file)
 
 # 1. check if the user has a ~/.gpy_config.cfg
 if os.path.isfile(user_file):
diff --git a/README.md b/README.md
index 27af0b0d..0f25dd98 100644
--- a/README.md
+++ b/README.md
@@ -3,6 +3,7 @@ GPy
 
 A Gaussian processes framework in Python.
 
+* [User mailing list](https://lists.shef.ac.uk/sympa/subscribe/gpy-users)
 * [Online documentation](https://gpy.readthedocs.org/en/latest/)
 * [Unit tests (Travis-CI)](https://travis-ci.org/SheffieldML/GPy)
 
diff --git a/doc/tuto_GP_regression.rst b/doc/tuto_GP_regression.rst
index 3d3ab10a..fe0bdca1 100644
--- a/doc/tuto_GP_regression.rst
+++ b/doc/tuto_GP_regression.rst
@@ -141,4 +141,4 @@ The flag ``ARD=True`` in the definition of the Matern kernel specifies that we w
     :align:   center
     :height: 350px
 
-    Contour plot of the best predictor (posterior mean).
+    Contour plot of the mean predictor (posterior mean).