diff --git a/GPy/core/gp.py b/GPy/core/gp.py
index 6aa1a4b9..0e93cd99 100644
--- a/GPy/core/gp.py
+++ b/GPy/core/gp.py
@@ -92,7 +92,7 @@ class GP(Model):
         logger.info("adding kernel and likelihood as parameters")
         self.link_parameter(self.kern)
         self.link_parameter(self.likelihood)
-        
+
     def set_X(self,X):
         # TODO: it does not work with BGPLVM
         if isinstance(X, ObsAr):
@@ -107,7 +107,7 @@ class GP(Model):
             self.Y = Y
         else:
             self.Y = ObsAr(Y)
-            self.Y_normalized = self.Y        
+            self.Y_normalized = self.Y
 
     def parameters_changed(self):
         self.posterior, self._log_marginal_likelihood, self.grad_dict = self.inference_method.inference(self.kern, self.X, self.likelihood, self.Y_normalized, self.Y_metadata)
diff --git a/GPy/util/linalg.py b/GPy/util/linalg.py
index ed8e7ba2..cef699cf 100644
--- a/GPy/util/linalg.py
+++ b/GPy/util/linalg.py
@@ -528,7 +528,7 @@ def symmetrify(A, upper=False):
             symmetrify_weave(A, upper)
         except:
             print "\n Weave compilation failed. Falling back to (slower) numpy implementation\n"
-            config.set('weave', 'working', False)
+            config.set('weave', 'working', 'False')
             symmetrify_numpy(A, upper)
     else:
         symmetrify_numpy(A, upper)