--- a/kernel_regression.py	Fri Nov 14 16:37:51 2008 -0500
+++ b/kernel_regression.py	Fri Nov 14 16:38:30 2008 -0500
@@ -4,16 +4,16 @@
 
 from pylearn.learner import OfflineLearningAlgorithm
 from theano import tensor as T
-from nnet_ops import prepend_1_to_each_row
+from theano.tensor.nnet import prepend_1_to_each_row
 from theano.scalar import as_scalar
 from common.autoname import AutoName
 import theano
 import numpy
 
 # map a N-vector to a 1xN matrix
-row_vector = theano.elemwise.DimShuffle((False,),['x',0])
+row_vector = theano.tensor.DimShuffle((False,),['x',0])
 # map a N-vector to a Nx1 matrix
-col_vector = theano.elemwise.DimShuffle((False,),[0,'x'])
+col_vector = theano.tensor.DimShuffle((False,),[0,'x'])
 
 class KernelRegression(OfflineLearningAlgorithm):
     """