Mercurial > pylearn

comparison sandbox/simple_autoassociator/parameters.py @ 393:36baeb7125a4

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Made sandbox directory
author Joseph Turian <turian@gmail.com>
date Tue, 08 Jul 2008 18:46:26 -0400
parents simple_autoassociator/parameters.py@ec8aadb6694d
children 8cc11ac97087
comparison
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392:e2cb8d489908 393:36baeb7125a4
1 """
2 Parameters (weights) used by the L{Model}.
3 """
4
5 import numpy
6 import globals
7
8 class Parameters:
9 """
10 Parameters used by the L{Model}.
11 """
12 def __init__(self, input_dimension=globals.INPUT_DIMENSION, hidden_dimension=globals.HIDDEN_DIMENSION, randomly_initialize=False, seed=globals.SEED):
13 """
14 Initialize L{Model} parameters.
15 @param randomly_initialize: If True, then randomly initialize
16 according to the given seed. If False, then just use zeroes.
17 """
18 if randomly_initialize:
19 numpy.random.seed(seed)
20 self.w1 = (numpy.random.rand(input_dimension, hidden_dimension)-0.5)/input_dimension
21 self.w2 = (numpy.random.rand(hidden_dimension, input_dimension)-0.5)/hidden_dimension
22 self.b1 = numpy.zeros(hidden_dimension)
23 self.b2 = numpy.zeros(input_dimension)
24 else:
25 self.w1 = numpy.zeros((input_dimension, hidden_dimension))
26 self.w2 = numpy.zeros((hidden_dimension, input_dimension))
27 self.b1 = numpy.zeros(hidden_dimension)
28 self.b2 = numpy.zeros(input_dimension)
29
30 def __str__(self):
31 s = ""
32 s += "w1: %s\n" % self.w1
33 s += "b1: %s\n" % self.b1
34 s += "w2: %s\n" % self.w2
35 s += "b2: %s\n" % self.b2
36 return s