# HG changeset patch
# User Xavier Glorot <glorotxa@iro.umontreal.ca>
# Date 1257800220 18000
# Node ID 0cfbaf0c598d213dffde9ee4caef61c3504eabde
# Parent  553bf0861fb5bd8a67ff1e94c67c01d38dedcd8a
sum change to mean for logistic regression cost over mini-batches

diff -r 553bf0861fb5 -r 0cfbaf0c598d pylearn/algorithms/logistic_regression.py
--- a/pylearn/algorithms/logistic_regression.py	Mon Nov 09 14:41:00 2009 -0500
+++ b/pylearn/algorithms/logistic_regression.py	Mon Nov 09 15:57:00 2009 -0500
@@ -101,7 +101,7 @@
                     nnet.crossentropy_softmax_max_and_argmax_1hot(
                     self.linear_output, self.target)
 
-        self.unregularized_cost = T.sum(self._xent)
+        self.unregularized_cost = T.mean(self._xent)
         self.l1_cost = self.l1 * T.sum(abs(self.w))
         self.l2_cost = self.l2 * T.sum(self.w**2)
         self.regularized_cost = self.unregularized_cost + self.l1_cost + self.l2_cost