annotate sandbox/rbm/main.py @ 395:70019965f888

Basic, broken RBM implementation
author Joseph Turian <turian@gmail.com>
date Tue, 08 Jul 2008 20:14:21 -0400
parents sandbox/simple_autoassociator/main.py@36baeb7125a4
children 8796b91a9f09
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1 #!/usr/bin/python
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2 """
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3 An RBM with binomial units trained with CD-1.
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4
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5 LIMITATIONS:
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6 - Only does pure stochastic gradient (batchsize = 1).
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7 """
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8
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9
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10 import numpy
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12 nonzero_instances = []
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13 nonzero_instances.append({0: 1, 1: 1})
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14 nonzero_instances.append({0: 1, 2: 1})
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15
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16 #nonzero_instances.append({1: 0.1, 5: 0.5, 9: 1})
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17 #nonzero_instances.append({2: 0.3, 5: 0.5, 8: 0.8})
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18 ##nonzero_instances.append({1: 0.2, 2: 0.3, 5: 0.5})
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19
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20 import model
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21 model = model.Model()
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22
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23 for i in xrange(100000):
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24 # Select an instance
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25 instance = nonzero_instances[i % len(nonzero_instances)]
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26
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27 # SGD update over instance
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28 model.update(instance)