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annotate _test_linear_regression.py @ 487:94a4c5b7293b

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DAA code more generic: Can now choose activation function and reconstruction cost.
author Joseph Turian <turian@gmail.com>
date Tue, 28 Oct 2008 02:21:50 -0400
parents 8e4d2ebd816a
children 317a052f9b14
rev   line source
432
8e4d2ebd816a added a test for LinearRegression
Yoshua Bengio <bengioy@iro.umontreal.ca>
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1
8e4d2ebd816a added a test for LinearRegression
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2 import unittest
8e4d2ebd816a added a test for LinearRegression
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3 from linear_regression import *
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4 from make_test_datasets import *
8e4d2ebd816a added a test for LinearRegression
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5 import numpy
8e4d2ebd816a added a test for LinearRegression
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6
8e4d2ebd816a added a test for LinearRegression
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7 class test_linear_regression(unittest.TestCase):
8e4d2ebd816a added a test for LinearRegression
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8e4d2ebd816a added a test for LinearRegression
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9 def test1(self):
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10 trainset,testset,theta=make_artificial_datasets_from_function(n_inputs=3,
8e4d2ebd816a added a test for LinearRegression
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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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8e4d2ebd816a added a test for LinearRegression
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15 assert trainset.fields()['input'].shape==(50,3)
8e4d2ebd816a added a test for LinearRegression
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16 assert testset.fields()['target'].shape==(50,2)
8e4d2ebd816a added a test for LinearRegression
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17 regressor = LinearRegression(L2_regularizer=0.1)
8e4d2ebd816a added a test for LinearRegression
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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