Mercurial > ift6266

changeset 446:9fb893d039c6

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
Ajout de fonctionnalite pour calculer les erreurs de validation avec PNIST et P07
author SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca>
date Tue, 04 May 2010 19:59:14 -0400
parents 868f82777839
children db7da40a7338
files deep/stacked_dae/v_sylvain/nist_byclass_error.py
diffstat 1 files changed, 73 insertions(+), 36 deletions(-) [+]
line wrap: on
line diff
--- a/deep/stacked_dae/v_sylvain/nist_byclass_error.py	Tue May 04 11:17:27 2010 -0400
+++ b/deep/stacked_dae/v_sylvain/nist_byclass_error.py	Tue May 04 19:59:14 2010 -0400
@@ -57,6 +57,7 @@
     examples_per_epoch = NIST_ALL_TRAIN_SIZE
 
     PATH = ''
+    NIST_BY_CLASS=0
 
 
 
@@ -75,64 +76,100 @@
     if os.path.exists(PATH+'params_finetune_NIST.txt'):
         print ('\n finetune = NIST ')
         optimizer.reload_parameters(PATH+'params_finetune_NIST.txt')
-        print "NIST DIGITS"
-        optimizer.training_error(datasets.nist_digits(),part=2)
-        print "NIST LOWER CASE"
-        optimizer.training_error(datasets.nist_lower(),part=2)
-        print "NIST UPPER CASE"
-        optimizer.training_error(datasets.nist_upper(),part=2)
+        if NIST_BY_CLASS == 1:
+            print "NIST DIGITS"
+            optimizer.training_error(datasets.nist_digits(),part=2)
+            print "NIST LOWER CASE"
+            optimizer.training_error(datasets.nist_lower(),part=2)
+            print "NIST UPPER CASE"
+            optimizer.training_error(datasets.nist_upper(),part=2)
+        else:
+            print "P07 valid"
+            optimizer.training_error(datasets.nist_P07(),part=1)
+            print "PNIST valid"
+            optimizer.training_error(datasets.PNIST07(),part=1)
         
     
     if os.path.exists(PATH+'params_finetune_P07.txt'):
         print ('\n finetune = P07 ')
         optimizer.reload_parameters(PATH+'params_finetune_P07.txt')
-        print "NIST DIGITS"
-        optimizer.training_error(datasets.nist_digits(),part=2)
-        print "NIST LOWER CASE"
-        optimizer.training_error(datasets.nist_lower(),part=2)
-        print "NIST UPPER CASE"
-        optimizer.training_error(datasets.nist_upper(),part=2)
+        if NIST_BY_CLASS == 1:
+            print "NIST DIGITS"
+            optimizer.training_error(datasets.nist_digits(),part=2)
+            print "NIST LOWER CASE"
+            optimizer.training_error(datasets.nist_lower(),part=2)
+            print "NIST UPPER CASE"
+            optimizer.training_error(datasets.nist_upper(),part=2)
+        else:
+            print "P07 valid"
+            optimizer.training_error(datasets.nist_P07(),part=1)
+            print "PNIST valid"
+            optimizer.training_error(datasets.PNIST07(),part=1)
 
     
     if os.path.exists(PATH+'params_finetune_NIST_then_P07.txt'):
         print ('\n finetune = NIST then P07')
         optimizer.reload_parameters(PATH+'params_finetune_NIST_then_P07.txt')
-        print "NIST DIGITS"
-        optimizer.training_error(datasets.nist_digits(),part=2)
-        print "NIST LOWER CASE"
-        optimizer.training_error(datasets.nist_lower(),part=2)
-        print "NIST UPPER CASE"
-        optimizer.training_error(datasets.nist_upper(),part=2)
+        if NIST_BY_CLASS == 1:
+            print "NIST DIGITS"
+            optimizer.training_error(datasets.nist_digits(),part=2)
+            print "NIST LOWER CASE"
+            optimizer.training_error(datasets.nist_lower(),part=2)
+            print "NIST UPPER CASE"
+            optimizer.training_error(datasets.nist_upper(),part=2)
+        else:
+            print "P07 valid"
+            optimizer.training_error(datasets.nist_P07(),part=1)
+            print "PNIST valid"
+            optimizer.training_error(datasets.PNIST07(),part=1)
     
     if os.path.exists(PATH+'params_finetune_P07_then_NIST.txt'):
         print ('\n finetune = P07 then NIST')
         optimizer.reload_parameters(PATH+'params_finetune_P07_then_NIST.txt')
-        print "NIST DIGITS"
-        optimizer.training_error(datasets.nist_digits(),part=2)
-        print "NIST LOWER CASE"
-        optimizer.training_error(datasets.nist_lower(),part=2)
-        print "NIST UPPER CASE"
-        optimizer.training_error(datasets.nist_upper(),part=2)
+        if NIST_BY_CLASS == 1:
+            print "NIST DIGITS"
+            optimizer.training_error(datasets.nist_digits(),part=2)
+            print "NIST LOWER CASE"
+            optimizer.training_error(datasets.nist_lower(),part=2)
+            print "NIST UPPER CASE"
+            optimizer.training_error(datasets.nist_upper(),part=2)
+        else:
+            print "P07 valid"
+            optimizer.training_error(datasets.nist_P07(),part=1)
+            print "PNIST valid"
+            optimizer.training_error(datasets.PNIST07(),part=1)
     
     if os.path.exists(PATH+'params_finetune_PNIST07.txt'):
         print ('\n finetune = PNIST07')
         optimizer.reload_parameters(PATH+'params_finetune_PNIST07.txt')
-        print "NIST DIGITS"
-        optimizer.training_error(datasets.nist_digits(),part=2)
-        print "NIST LOWER CASE"
-        optimizer.training_error(datasets.nist_lower(),part=2)
-        print "NIST UPPER CASE"
-        optimizer.training_error(datasets.nist_upper(),part=2)
+        if NIST_BY_CLASS == 1:
+            print "NIST DIGITS"
+            optimizer.training_error(datasets.nist_digits(),part=2)
+            print "NIST LOWER CASE"
+            optimizer.training_error(datasets.nist_lower(),part=2)
+            print "NIST UPPER CASE"
+            optimizer.training_error(datasets.nist_upper(),part=2)
+        else:
+            print "P07 valid"
+            optimizer.training_error(datasets.nist_P07(),part=1)
+            print "PNIST valid"
+            optimizer.training_error(datasets.PNIST07(),part=1)
         
     if os.path.exists(PATH+'params_finetune_PNIST07_then_NIST.txt'):
         print ('\n finetune = PNIST07 then NIST')
         optimizer.reload_parameters(PATH+'params_finetune_PNIST07_then_NIST.txt')
-        print "NIST DIGITS"
-        optimizer.training_error(datasets.nist_digits(),part=2)
-        print "NIST LOWER CASE"
-        optimizer.training_error(datasets.nist_lower(),part=2)
-        print "NIST UPPER CASE"
-        optimizer.training_error(datasets.nist_upper(),part=2)
+        if NIST_BY_CLASS == 1:
+            print "NIST DIGITS"
+            optimizer.training_error(datasets.nist_digits(),part=2)
+            print "NIST LOWER CASE"
+            optimizer.training_error(datasets.nist_lower(),part=2)
+            print "NIST UPPER CASE"
+            optimizer.training_error(datasets.nist_upper(),part=2)
+        else:
+            print "P07 valid"
+            optimizer.training_error(datasets.nist_P07(),part=1)
+            print "PNIST valid"
+            optimizer.training_error(datasets.PNIST07(),part=1)
     
     channel.save()