# HG changeset patch
# User Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
# Date 1211406140 14400
# Node ID 9b57ea8c767f7030c455866573d7e02a3d6e9f3b
# Parent  bd728c83faffb1bfb9880ee6c76c8fed7c530195
previous commit was supposed to concern only one file, dataset.py, try to undo my other changes with this commit (nothing was broken though, just useless debugging prints)

diff -r bd728c83faff -r 9b57ea8c767f mlp_factory_approach.py
--- a/mlp_factory_approach.py	Wed May 21 17:39:30 2008 -0400
+++ b/mlp_factory_approach.py	Wed May 21 17:42:20 2008 -0400
@@ -33,7 +33,7 @@
         #TODO: why should we have to unpack target like this?
         for input, target in input_target:
             rval= self.update_fn(input, target[:,0], *params)
-            print rval[0]
+            #print rval[0]
 
     def __call__(self, testset, fieldnames=['output_class']):
         """Apply this model (as a function) to new data"""
@@ -123,7 +123,7 @@
                 rval.update(
                     minset.minibatches([input, target], minibatch_size=min(32,
                         len(trainset))))
-                print 'mlp.__call__(), we did an update'
+                #print 'mlp.__call__(), we did an update'
                 if stp.set_score:
                     stp.score = rval(valset, ['loss_01'])
                     if (stp.score < stp.best_score):