diff --git a/GPy/examples/dimensionality_reduction.py b/GPy/examples/dimensionality_reduction.py
index e4fcc234..97601b0f 100644
--- a/GPy/examples/dimensionality_reduction.py
+++ b/GPy/examples/dimensionality_reduction.py
@@ -192,10 +192,6 @@ def bgplvm_simulation_matlab_compare():
     m['noise'] = Y.var() / 100.
     m['linear_variance'] = .01
 
-#     lscstr = '{}'.format(k.parts[0].name)
-#     m[lscstr] = .01
-#     m.unconstrain(lscstr); m.constrain_fixed(lscstr, 10)
-
 #     lscstr = 'X_variance'
 #     m[lscstr] = .01
 #     m.unconstrain(lscstr); m.constrain_fixed(lscstr, .1)
diff --git a/GPy/models/Bayesian_GPLVM.py b/GPy/models/Bayesian_GPLVM.py
index 099a17ea..fc7e4ba9 100644
--- a/GPy/models/Bayesian_GPLVM.py
+++ b/GPy/models/Bayesian_GPLVM.py
@@ -96,9 +96,9 @@ class Bayesian_GPLVM(sparse_GP, GPLVM):
             print "\rWARNING: Caught LinAlgError, continueing without setting            "
             if self._debug:
                 self._savederrors.append(self.f_call)
-#             if save_count > 10:
-#                 raise
-#             self._set_params(self.oldps[-1], save_old=False, save_count=save_count + 1)
+            if save_count > 10:
+                raise
+            self._set_params(self.oldps[-1], save_old=False, save_count=save_count + 1)
 
     def dKL_dmuS(self):
         dKL_dS = (1. - (1. / (self.X_variance))) * 0.5