diff --git a/GPy/core/parameterization/parameterized.py b/GPy/core/parameterization/parameterized.py
index ceffbcb4..eabd5a9c 100644
--- a/GPy/core/parameterization/parameterized.py
+++ b/GPy/core/parameterization/parameterized.py
@@ -8,15 +8,21 @@ from re import compile, _pattern_type
 from param import ParamConcatenation
 from parameter_core import HierarchyError, Parameterizable, adjust_name_for_printing
 
+import logging
+logger = logging.getLogger("parameters changed meta")
+
 class ParametersChangedMeta(type):
     def __call__(self, *args, **kw):
         self._in_init_ = True
         #import ipdb;ipdb.set_trace()
         self = super(ParametersChangedMeta, self).__call__(*args, **kw)
+        logger.debug("finished init")
         self._in_init_ = False
+        logger.debug("connecting parameters")
         self._highest_parent_._connect_parameters()
         self._highest_parent_._notify_parent_change()
         self._highest_parent_._connect_fixes()
+        logger.debug("calling parameters changed")
         self.parameters_changed()
         return self
 
diff --git a/GPy/core/sparse_gp.py b/GPy/core/sparse_gp.py
index c7c9bb55..301d4b49 100644
--- a/GPy/core/sparse_gp.py
+++ b/GPy/core/sparse_gp.py
@@ -8,6 +8,9 @@ from ..inference.latent_function_inference import var_dtc
 from .. import likelihoods
 from parameterization.variational import VariationalPosterior
 
+import logging
+logger = logging.getLogger("sparse gp")
+
 class SparseGP(GP):
     """
     A general purpose Sparse GP model
@@ -46,7 +49,7 @@ class SparseGP(GP):
         self.num_inducing = Z.shape[0]
 
         GP.__init__(self, X, Y, kernel, likelihood, inference_method=inference_method, name=name, Y_metadata=Y_metadata)
-        self.logger.info("Adding Z as parameter")
+        logger.info("Adding Z as parameter")
         self.add_parameter(self.Z, index=0)
 
     def has_uncertain_inputs(self):