changeset 212:9b57ea8c767f

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)
author Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
date Wed, 21 May 2008 17:42:20 -0400
parents bd728c83faff
children cc96f93a7810
files mlp_factory_approach.py
diffstat 1 files changed, 2 insertions(+), 2 deletions(-) [+]
line wrap: on
line diff
--- 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):