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comparison linear_regression.py @ 132:f6505ec32dc3

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Updated documentation slightly
author Joseph Turian <turian@gmail.com>
date Thu, 08 May 2008 00:54:14 -0400
parents d0a1bd0378c6
children c9a89be5cb0a
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131:57e6492644ec 132:f6505ec32dc3
1 """
2 Implementation of linear regression, with or without L2 regularization.
3 This is one of the simplest example of L{learner}, and illustrates
4 the use of theano.
5 """
1 6
2 from learner import * 7 from learner import *
3 from theano import tensor as t 8 from theano import tensor as t
4 from theano.scalar import as_scalar 9 from theano.scalar import as_scalar
5 10
6 # this is one of the simplest example of learner, and illustrates
7 # the use of theano
8 class LinearRegression(MinibatchUpdatesTLearner): 11 class LinearRegression(MinibatchUpdatesTLearner):
9 """ 12 """
10 Implement linear regression, with or without L2 regularization 13 Implement linear regression, with or without L2 regularization
11 (the former is called Ridge Regression and the latter Ordinary Least Squares). 14 (the former is called Ridge Regression and the latter Ordinary Least Squares).
12 15