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comparison algorithms/tests/test_daa.py @ 493:32509c479e2d

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Added test_daa.py
author Joseph Turian <turian@gmail.com>
date Tue, 28 Oct 2008 11:40:31 -0400
parents
children 3c60c2db0319
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490:4f3c66146f17 493:32509c479e2d
1 #!/usr/bin/python
2
3 from pylearn import algorithms as models
4 import theano
5 import numpy
6 import time
7
8
9 def test_train_daa(mode = theano.Mode('c|py', 'fast_run')):
10
11 ndaa = 3
12 daa = models.Stacker([(models.SigmoidXEDenoisingAA, 'hidden')] * ndaa + [(models.BinRegressor, 'output')],
13 regularize = False)
14
15 model = daa.make([4, 20, 20, 20, 1],
16 lr = 0.01,
17 mode = mode,
18 seed = 10)
19
20 model.layers[0].noise_level = 0.3
21 model.layers[1].noise_level = 0.3
22 model.layers[2].noise_level = 0.3
23
24 # Update the first hidden layer
25 model.local_update[0]([[0, 1, 0, 1]])
26 model.local_update[1]([[0, 1, 0, 1]])
27 model.local_update[2]([[0, 1, 0, 1]])
28
29 model.update([[0, 1, 0, 1]], [[0]])
30 print model.classify([[0, 1, 0, 1]])
31
32
33
34
35
36 if __name__ == '__main__':
37 # print 'optimized:'
38 # t1 = test_train_daa(theano.Mode('py', 'fast_compile'))
39 # t1 = test_train_daa(theano.Mode('c|py', 'fast_run'))
40 # print 'time:',t1
41 # print
42
43 # print 'not optimized:'
44 # t2 = test_train_daa(theano.Mode('c|py', 'fast_compile'))
45 ## print 'time:',t2
46
47 # test_train_daa(theano.compile.Mode('c&py', 'merge'))
48 test_train_daa(theano.compile.Mode('c|py', 'merge'))