Mercurial > pylearn

annotate sandbox/rbm/parameters.py @ 396:e0c9357456e0

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Bug fixed in RBM
author Joseph Turian <turian@gmail.com>
date Tue, 08 Jul 2008 20:37:36 -0400
parents 70019965f888
children c2e6a8fcc35e
rev   line source
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a1bbcde6b456 Moved sparse_random_autoassociator from my repository
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1 """
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2 Parameters (weights) used by the L{Model}.
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3 """
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4
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5 import numpy
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6 import globals
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7
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8 class Parameters:
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9 """
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10 Parameters used by the L{Model}.
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11 """
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12 def __init__(self, input_dimension=globals.INPUT_DIMENSION, hidden_dimension=globals.HIDDEN_DIMENSION, randomly_initialize=False, seed=globals.SEED):
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13 """
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14 Initialize L{Model} parameters.
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15 @param randomly_initialize: If True, then randomly initialize
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16 according to the given seed. If False, then just use zeroes.
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17 """
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18 if randomly_initialize:
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19 numpy.random.seed(seed)
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20 self.w = (numpy.random.rand(input_dimension, hidden_dimension)-0.5)/input_dimension
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21 self.b = numpy.zeros((1, hidden_dimension))
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22 self.c = numpy.zeros((1, input_dimension))
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23 else:
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24 self.w = numpy.zeros((input_dimension, hidden_dimension))
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25 self.b = numpy.zeros((1, hidden_dimension))
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26 self.c = numpy.zeros((1, input_dimension))
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dace8b9743af __str__ method
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27
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28 def __str__(self):
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29 s = ""
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30 s += "w: %s\n" % self.w
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31 s += "b: %s\n" % self.b
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32 s += "c: %s\n" % self.c
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33 return s