Mercurial > pylearn
comparison linear_regression.py @ 432:8e4d2ebd816a
added a test for LinearRegression
author | Yoshua Bengio <bengioy@iro.umontreal.ca> |
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date | Tue, 29 Jul 2008 11:16:05 -0400 |
parents | 0f8c81b0776d |
children | 111e547ffa7b |
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431:0f8c81b0776d | 432:8e4d2ebd816a |
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2 Implementation of linear regression, with or without L2 regularization. | 2 Implementation of linear regression, with or without L2 regularization. |
3 This is one of the simplest example of L{learner}, and illustrates | 3 This is one of the simplest example of L{learner}, and illustrates |
4 the use of theano. | 4 the use of theano. |
5 """ | 5 """ |
6 | 6 |
7 from pylearn.learner import OfflineLearningAlgorithm | 7 from pylearn.learner import OfflineLearningAlgorithm,OnlineLearningAlgorithm |
8 from theano import tensor as T | 8 from theano import tensor as T |
9 from nnet_ops import prepend_1_to_each_row | 9 from nnet_ops import prepend_1_to_each_row |
10 from theano.scalar import as_scalar | 10 from theano.scalar import as_scalar |
11 from common.autoname import AutoName | 11 from common.autoname import AutoName |
12 import theano | 12 import theano |