# HG changeset patch
# User Joseph Turian <turian@gmail.com>
# Date 1225210179 14400
# Node ID 7560817a07e829d17fd521dce9846fa3e4c2fa41
# Parent  02a331ba833b6481dacdf0881c331c462b79cf4a
nnet_ops => nnet

diff -r 02a331ba833b -r 7560817a07e8 algorithms/logistic_regression.py
--- a/algorithms/logistic_regression.py	Tue Oct 28 11:40:56 2008 -0400
+++ b/algorithms/logistic_regression.py	Tue Oct 28 12:09:39 2008 -0400
@@ -1,6 +1,6 @@
 import theano
 from theano import tensor as T
-from theano.tensor import nnet_ops
+from theano.tensor import nnet
 from theano.compile import module
 from theano import printing, pprint
 from theano import compile
@@ -30,7 +30,7 @@
 
         self.params = [p for p in [self.w, self.b] if p.owner is None]
 
-        xent, y = nnet_ops.crossentropy_softmax_1hot(
+        xent, y = nnet.crossentropy_softmax_1hot(
                 T.dot(self.x, self.w) + self.b, self.targ)
         sum_xent = T.sum(xent)
 
@@ -70,7 +70,7 @@
 
         self.params = [p for p in [self.w, self.b] if p.owner is None]
 
-        y = nnet_ops.sigmoid(T.dot(self.x, self.w))
+        y = nnet.sigmoid(T.dot(self.x, self.w))
         xent = -self.targ * T.log(y) - (1.0 - self.targ) * T.log(1.0 - y)
         sum_xent = T.sum(xent)