annotate _test_linear_regression.py @ 672:27b1344a57b1

Added preprocessing back in
author Joseph Turian <turian@gmail.com>
date Thu, 20 Nov 2008 06:38:06 -0500
parents 317a052f9b14
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8e4d2ebd816a added a test for LinearRegression
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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 import sys
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25
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26 if len(sys.argv)==1:
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27 unittest.main()
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28 else:
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29 assert sys.argv[1]=="--debug"
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30 tests = []
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31 for arg in sys.argv[2:]:
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32 tests.append(arg)
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33 if tests:
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34 unittest.TestSuite(map(T_DataSet, tests)).debug()
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35 else:
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36 module = __import__("_test_linear_regression")
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37 tests = unittest.TestLoader().loadTestsFromModule(module)
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38 tests.debug()