--- a/sandbox/simple_autoassociator/parameters.py	Fri Jul 11 16:34:46 2008 -0400
+++ b/sandbox/simple_autoassociator/parameters.py	Fri Jul 11 17:19:37 2008 -0400
@@ -3,20 +3,19 @@
 """
 
 import numpy
-import globals
 
 class Parameters:
     """
     Parameters used by the L{Model}.
     """
-    def __init__(self, input_dimension=globals.INPUT_DIMENSION, hidden_dimension=globals.HIDDEN_DIMENSION, randomly_initialize=False, seed=globals.SEED):
+    def __init__(self, input_dimension, hidden_dimension, randomly_initialize, random_seed):
         """
         Initialize L{Model} parameters.
         @param randomly_initialize: If True, then randomly initialize
         according to the given seed. If False, then just use zeroes.
         """
         if randomly_initialize:
-            numpy.random.seed(seed)
+            numpy.random.seed(random_seed)
             self.w1 = (numpy.random.rand(input_dimension, hidden_dimension)-0.5)/input_dimension
             self.w2 = (numpy.random.rand(hidden_dimension, input_dimension)-0.5)/hidden_dimension
             self.b1 = numpy.zeros(hidden_dimension)