diff --git a/GPy/models/gplvm.py b/GPy/models/gplvm.py
index cdc0ab47..3d0b0d5c 100644
--- a/GPy/models/gplvm.py
+++ b/GPy/models/gplvm.py
@@ -14,7 +14,7 @@ class GPLVM(GP):
 
 
     """
-    def __init__(self, Y, input_dim, init='PCA', X=None, kernel=None, name="gplvm"):
+    def __init__(self, Y, input_dim, init='PCA', X=None, kernel=None, name="gplvm", Y_metadata=None, normalizer=False):
 
         """
         :param Y: observed data
@@ -23,6 +23,11 @@ class GPLVM(GP):
         :type input_dim: int
         :param init: initialisation method for the latent space
         :type init: 'PCA'|'random'
+        :param normalizer:
+          normalize the outputs Y.
+          If normalizer is True, we will normalize using Standardize.
+          If normalizer is False (the default), no normalization will be done.
+        :type normalizer: bool
         """
         if X is None:
             from ..util.initialization import initialize_latent
@@ -34,7 +39,7 @@ class GPLVM(GP):
 
         likelihood = Gaussian()
 
-        super(GPLVM, self).__init__(X, Y, kernel, likelihood, name='GPLVM')
+        super(GPLVM, self).__init__(X, Y, kernel, likelihood, name='GPLVM', Y_metadata=Y_metadata, normalizer=normalizer)
 
         self.X = Param('latent_mean', X)
         self.link_parameter(self.X, index=0)