Mercurial > pylearn

annotate algorithms/tests/test_stacker.py @ 494:02a331ba833b

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
merge
author Joseph Turian <turian@gmail.com>
date Tue, 28 Oct 2008 11:40:56 -0400
parents 8fcd0f3d9a17
children
rev   line source
476
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
1
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
2 import models
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
3 import theano
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
4 import numpy
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
5 import time
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
6
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
7
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
8 def test_train(mode = theano.Mode('c|py', 'fast_run')):
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
9
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
10 reg = models.Stacker([(models.BinRegressor, 'output'), (models.BinRegressor, 'output')],
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
11 regularize = False)
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
12 #print reg.global_update[1].pretty(mode = mode.excluding('inplace'))
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
13
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
14 model = reg.make([100, 200, 1],
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
15 lr = 0.01,
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
16 mode = mode,
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
17 seed = 10)
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
18
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
19 R = numpy.random.RandomState(100)
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
20 t1 = time.time()
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
21 for i in xrange(1001):
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
22 data = R.random_integers(0, 1, size = (10, 100))
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
23 targets = data[:, 6].reshape((10, 1))
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
24 cost = model.update(data, targets)
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
25 if i % 100 == 0:
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
26 print i, '\t', cost, '\t', 1*(targets.T == model.classify(data).T)
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
27 t2 = time.time()
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
28 return t2 - t1
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
29
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
30 if __name__ == '__main__':
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
31 print 'optimized:'
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
32 t1 = test_train(theano.Mode('c|py', 'fast_run'))
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
33 print 'time:',t1
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
34 print
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
35
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
36 print 'not optimized:'
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
37 t2 = test_train(theano.Mode('c|py', 'fast_compile'))
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
38 print 'time:',t2
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
39
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
40
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
41
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
42
8fcd0f3d9a17 added a few algorithms
Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
diff changeset
43