transform

commit 72e1c4ed6aceb97bf016c84df82cbfadd9d4612d
parent d20bc216b29903a6fa9e7a98b79349b02b4f5a2e
Author: Étienne Simon <esimon@esimon.eu>
Date:   Mon, 26 May 2014 16:44:58 +0200

Use sum instead of mean over mini-batches

Diffstat:
M
model.py
 | 
4
++--

1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/model.py b/model.py
@@ -81,8 +81,8 @@ class Model(object):
 
         violating_margin_left = score_left>0
         violating_margin_right = score_right>0
-        criterion_left = T.mean(violating_margin_left*score_left)
-        criterion_right = T.mean(violating_margin_right*score_right)
+        criterion_left = T.sum(violating_margin_left*score_left)
+        criterion_right = T.sum(violating_margin_right*score_right)
         criterion = criterion_left + criterion_right
 
         self.train_function = theano.function(inputs=inputs, outputs=[criterion], updates=self.updates(criterion))