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annotate pylearn/algorithms/tests/test_stacker.py @ 735:3784ef7cdd71

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Fixed some imports, but test_stacker is still not working
author Olivier Delalleau <delallea@iro>
date Wed, 27 May 2009 14:46:01 -0400
parents 48db24d3b4fa
children 12f587e37ee3
rev   line source
476
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Olivier Breuleux <breuleuo@iro.umontreal.ca>
parents:
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1
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3784ef7cdd71 Fixed some imports, but test_stacker is still not working
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2 import pylearn.algorithms.stacker as models_stacker
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3 import pylearn.algorithms.regressor as models_reg
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4 import theano
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5 import numpy
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6 import time
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8
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9 def test_train(mode = theano.Mode('c|py', 'fast_run')):
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3784ef7cdd71 Fixed some imports, but test_stacker is still not working
Olivier Delalleau <delallea@iro>
parents: 555
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11 reg = models_stacker.Stacker([(models_reg.BinRegressor, 'output'),
3784ef7cdd71 Fixed some imports, but test_stacker is still not working
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12 (models_reg.BinRegressor, 'output')],
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13 regularize = False)
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14 #print reg.global_update[1].pretty(mode = mode.excluding('inplace'))
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16 model = reg.make([100, 200, 1],
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17 lr = 0.01,
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18 mode = mode,
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19 seed = 10)
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20
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21 R = numpy.random.RandomState(100)
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22 t1 = time.time()
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23 for i in xrange(1001):
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24 data = R.random_integers(0, 1, size = (10, 100))
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25 targets = data[:, 6].reshape((10, 1))
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26 cost = model.update(data, targets)
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27 if i % 100 == 0:
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28 print i, '\t', cost, '\t', 1*(targets.T == model.classify(data).T)
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29 t2 = time.time()
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30 return t2 - t1
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31
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32 if __name__ == '__main__':
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33 print 'optimized:'
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34 t1 = test_train(theano.Mode('c|py', 'fast_run'))
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35 print 'time:',t1
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36 print
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37
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38 print 'not optimized:'
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39 t2 = test_train(theano.Mode('c|py', 'fast_compile'))
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40 print 'time:',t2
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41
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