# HG changeset patch
# User Olivier Delalleau <delallea@iro>
# Date 1231445514 18000
# Node ID 8d0b73c7d76803d85c876eb2167bac798bed5767
# Parent  3f9ec536f2c166ba4e4b495cfdbea6ecf8ceae30
Minor cosmetic changes

diff -r 3f9ec536f2c1 -r 8d0b73c7d768 pylearn/algorithms/aa.py
--- a/pylearn/algorithms/aa.py	Fri Dec 19 16:46:51 2008 -0500
+++ b/pylearn/algorithms/aa.py	Thu Jan 08 15:11:54 2009 -0500
@@ -4,7 +4,7 @@
 from theano.tensor import nnet as NN
 import numpy as N
 
-class AutoEncoder(theano.FancyModule):
+class AutoEncoder(theano.Module):
 
     def __init__(self, input = None, regularize = True, tie_weights = True):
         super(AutoEncoder, self).__init__()
@@ -64,7 +64,7 @@
 
     def _instance_initialize(self, obj, input_size = None, hidden_size = None, seed = None, **init):
         if (input_size is None) ^ (hidden_size is None):
-            raise ValueError("Must specify hidden_size and target_size or neither.")
+            raise ValueError("Must specify hidden_size and input_size or neither.")
         super(AutoEncoder, self)._instance_initialize(obj, **init)
         if seed is not None:
             R = N.random.RandomState(seed)