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annotate test_mlp.py @ 194:0040ba0f0666

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small refactoring
author Frederic Bastien <bastienf@iro.umontreal.ca>
date Tue, 13 May 2008 15:11:24 -0400
parents 0d8e721cc63c
children 2698c0feeb54
rev   line source
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2ca8dccba270 debugging mlp.py
Yoshua Bengio <bengioy@iro.umontreal.ca>
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2ca8dccba270 debugging mlp.py
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2 from mlp import *
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3 import dataset
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2ca8dccba270 debugging mlp.py
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5 def test0():
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6 nnet = OneHiddenLayerNNetClassifier(10,3,.1,1000)
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7 training_set = dataset.ArrayDataSet(numpy.array([[0, 0, 0],
b4657441dd65 Corrected typos
Yoshua Bengio <bengioy@iro.umontreal.ca>
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8 [0, 1, 1],
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9 [1, 0, 1],
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10 [1, 1, 1]]),
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11 {'input':slice(2),'target':2})
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12 fprop=nnet(training_set)
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2ca8dccba270 debugging mlp.py
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0d8e721cc63c Fixed bugs in dataset to make test_mlp.py work
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14 output_ds = fprop(training_set)
0d8e721cc63c Fixed bugs in dataset to make test_mlp.py work
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0d8e721cc63c Fixed bugs in dataset to make test_mlp.py work
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16 for fieldname in output_ds.fieldNames():
0d8e721cc63c Fixed bugs in dataset to make test_mlp.py work
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17 print fieldname+"=",output_ds[fieldname]
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2ca8dccba270 debugging mlp.py
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2ca8dccba270 debugging mlp.py
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19 test0()
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