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changeset 265:ae0a8345869b

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commented junk in the default test (main function) of mlp_factory_approach so the test still works
author Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
date Wed, 04 Jun 2008 17:34:01 -0400
parents a1793a5e9523
children 4dad41215967
files mlp_factory_approach.py
diffstat 1 files changed, 12 insertions(+), 12 deletions(-) [+]
line wrap: on
line diff
--- a/mlp_factory_approach.py	Wed Jun 04 17:00:44 2008 -0400
+++ b/mlp_factory_approach.py	Wed Jun 04 17:34:01 2008 -0400
@@ -317,20 +317,20 @@
 
         model1.save('/tmp/model1')
         
-        denoising_aa = GraphLearner(denoising_g)
-        model1 = denoising_aa(trainset)
-        hidset = model(trainset, fieldnames=['hidden'])
-        model2 = denoising_aa(hidset)
+        #denoising_aa = GraphLearner(denoising_g)
+        #model1 = denoising_aa(trainset)
+        #hidset = model(trainset, fieldnames=['hidden'])
+        #model2 = denoising_aa(hidset)
         
-        f = open('blah', 'w')
-        for m in model:
-            m.save(f)
-        filetensor.write(f, initial_classification_weights)
-        f.flush()
+        #f = open('blah', 'w')
+        #for m in model:
+        #    m.save(f)
+        #filetensor.write(f, initial_classification_weights)
+        #f.flush()
 
-        deep_sigmoid_net = GraphLearner(deepnetwork_g)
-        deep_model = deep_sigmoid_net.load('blah')
-        deep_model.update(trainset)  #do some fine tuning
+        #deep_sigmoid_net = GraphLearner(deepnetwork_g)
+        #deep_model = deep_sigmoid_net.load('blah')
+        #deep_model.update(trainset)  #do some fine tuning
 
         model1_dup = learn_algo('/tmp/model1')