Mercurial > pylearn
annotate _test_linear_regression.py @ 460:fda72e944104
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author | Joseph Turian <turian@iro.umontreal.ca> |
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date | Tue, 07 Oct 2008 23:07:23 -0400 |
parents | 8e4d2ebd816a |
children | 317a052f9b14 |
rev | line source |
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432
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Yoshua Bengio <bengioy@iro.umontreal.ca>
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1 |
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2 import unittest |
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3 from linear_regression import * |
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4 from make_test_datasets import * |
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5 import numpy |
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6 |
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7 class test_linear_regression(unittest.TestCase): |
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8 |
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9 def test1(self): |
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10 trainset,testset,theta=make_artificial_datasets_from_function(n_inputs=3, |
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11 n_targets=2, |
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12 n_examples=100, |
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13 f=linear_predictor) |
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14 |
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15 assert trainset.fields()['input'].shape==(50,3) |
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16 assert testset.fields()['target'].shape==(50,2) |
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17 regressor = LinearRegression(L2_regularizer=0.1) |
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18 predictor = regressor(trainset) |
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19 test_data = testset.fields() |
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20 mse = predictor.compute_mse(test_data['input'],test_data['target']) |
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21 print 'mse = ',mse |
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22 |
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23 if __name__ == '__main__': |
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24 unittest.main() |
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25 |