# HG changeset patch
# User gdesjardins
# Date 1274564883 14400
# Node ID d15e4f803622f067a0ec47ade2cf140a4502cbb6
# Parent  594f4fda482920a2d496da783ec25cc02b0d8739
asdf

diff -r 594f4fda4829 -r d15e4f803622 pylearn/datasets/miniblocks.py
--- a/pylearn/datasets/miniblocks.py	Sat May 22 17:44:26 2010 -0400
+++ b/pylearn/datasets/miniblocks.py	Sat May 22 17:48:03 2010 -0400
@@ -5,7 +5,7 @@
 
 from pylearn.datasets import Dataset
 
-def miniblocks(reweight=None):
+def miniblocks(reweight=None, use_inverse=False):
     # If 'reweight' is not None, then it is an integer N such that each
     # sample is duplicated k times, with k taken uniformly in {1, 2, ..., N}.
     # Some adjustment is made to ensure the dataset size is a multiple of its
@@ -50,6 +50,7 @@
     set = Dataset()
     set.train = Dataset.Obj(x = input, y = target)
     set.test = Dataset.Obj(x = input, y = target)
+    set.img_shape = (4,4)
 
     return set