# HG changeset patch
# User Joseph Turian <turian@gmail.com>
# Date 1225210189 14400
# Node ID f13847478c6d2eb5debe3b0ecbb62eb49ae2fc4b
# Parent  7560817a07e829d17fd521dce9846fa3e4c2fa41
A few more ideas, in comments

diff -r 7560817a07e8 -r f13847478c6d activation.py
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/activation.py	Tue Oct 28 12:09:49 2008 -0400
@@ -0,0 +1,6 @@
+"""
+Activation functions.
+
+@todo: Make an Activation function class, with a particular contract.
+That way, we can swap in Activation functions in our algorithms.
+"""
diff -r 7560817a07e8 -r f13847478c6d cost.py
--- a/cost.py	Tue Oct 28 12:09:39 2008 -0400
+++ b/cost.py	Tue Oct 28 12:09:49 2008 -0400
@@ -4,6 +4,8 @@
 @note: All of these functions return one cost per example. So it is your
 job to perform a tensor.sum over the individual example losses.
 
+@todo: Make a Cost class, with a particular contract.
+
 @todo: It would be nice to implement a hinge loss, with a particular margin.
 """