# HG changeset patch
# User James Bergstra <bergstrj@iro.umontreal.ca>
# Date 1258395672 18000
# Node ID 2a8a7ce78c1229d1aa07f8046f8cfe55a5be0587
# Parent  76f71e10f5ef3c03d9f1382a45463d56f6d4ee4a
added todo note in rust2005

diff -r 76f71e10f5ef -r 2a8a7ce78c12 pylearn/shared/layers/rust2005.py
--- a/pylearn/shared/layers/rust2005.py	Mon Nov 16 13:20:51 2009 -0500
+++ b/pylearn/shared/layers/rust2005.py	Mon Nov 16 13:21:12 2009 -0500
@@ -8,6 +8,12 @@
 :TODO: implement full model with variable exponents.  The current implementation fixes internal
 exponents to 2 and the external exponent to 1/2.
 
+:TODO: add the weights on the quadratic filter
+responses.  E and S are supposed to be the "square root of a *weighted* sum of squares".
+The simplifications here are probably useful, but make them optional, or a different class or something.
+- The current implementation can be interpreted as including the weights inside the filters.
+  The filters are not constrained to have a unit norm, for example.
+
 """
 
 import numpy