Mercurial > pylearn

diff learner.py @ 13:633453635d51
Starting to work on gradient_based_learner.py
author: bengioy@bengiomac.local
date: Wed, 26 Mar 2008 21:38:08 -0400
parents: 80bf5492e571
children: 5ede27026e05
--- a/learner.py	Wed Mar 26 18:21:57 2008 -0400
+++ b/learner.py	Wed Mar 26 21:38:08 2008 -0400
@@ -1,6 +1,5 @@
 
 from dataset import *
-from statscollector import *
     
 class Learner(object):
     """Base class for learning algorithms, provides an interface
@@ -32,7 +31,7 @@
         The result is a function that can be applied on data, with the same
         semantics of the Learner.use method.
         """
-        return self.use
+        return self.use # default behavior is 'non-adaptive', i.e. update does not do anything
     
     
     def __call__(self,training_set):