# HG changeset patch
# User Olivier Breuleux <breuleuo@iro.umontreal.ca>
# Date 1225208367 14400
# Node ID 180d125dc7e2c01280cc832df82c3972aab534b9
# Parent  2c4738e5e4b2c906621a4038ffbb17065cce8111
made logistic_regression classes compatible with stacker

diff -r 2c4738e5e4b2 -r 180d125dc7e2 algorithms/logistic_regression.py
--- a/algorithms/logistic_regression.py	Tue Oct 28 00:23:53 2008 -0400
+++ b/algorithms/logistic_regression.py	Tue Oct 28 11:39:27 2008 -0400
@@ -18,7 +18,7 @@
             self.lr = 0.01
             self.__hide__ = ['params']
 
-    def __init__(self, x=None, targ=None, w=None, b=None, lr=None):
+    def __init__(self, x=None, targ=None, w=None, b=None, lr=None, regularize=False):
         super(Module_Nclass, self).__init__() #boilerplate
 
         self.x = x if x is not None else T.matrix()
@@ -36,6 +36,7 @@
 
         self.y = y
         self.sum_xent = sum_xent
+        self.cost = sum_xent
 
         #define the apply method
         self.pred = T.argmax(T.dot(self.x, self.w) + self.b, axis=1)
@@ -57,7 +58,7 @@
             self.lr = 0.01
             self.__hide__ = ['params']
 
-    def __init__(self, x=None, targ=None, w=None, b=None, lr=None):
+    def __init__(self, x=None, targ=None, w=None, b=None, lr=None, regularize=False):
         super(Module, self).__init__() #boilerplate
 
         self.x = x if x is not None else T.matrix()
@@ -76,6 +77,7 @@
         self.y = y
         self.xent = xent
         self.sum_xent = sum_xent
+        self.cost = sum_xent
 
         #define the apply method
         self.pred = (T.dot(self.x, self.w) + self.b) > 0.0