From cb3eff08991fd9f510184ad030b142a7aeeefc19 Mon Sep 17 00:00:00 2001
From: Gael varoquaux <gael.varoquaux@normalesup.org>
Date: Fri, 4 Nov 2011 09:45:20 +0100
Subject: [PATCH] BUG: ProbabilisticPCA.score work with pipeline

score(X, y=None) is required to be used by generic objects that work on
supervised and unsupervised learners.
---
 sklearn/decomposition/pca.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sklearn/decomposition/pca.py b/sklearn/decomposition/pca.py
index c56fdd6bbb6..bf4e7e43e68 100644
--- a/sklearn/decomposition/pca.py
+++ b/sklearn/decomposition/pca.py
@@ -320,7 +320,7 @@ class ProbabilisticPCA(PCA):
             self.covariance_ += self.explained_variance_[k] * add_cov
         return self
 
-    def score(self, X):
+    def score(self, X, y=None):
         """Return a score associated to new data
 
         Parameters