forked from moreo/QuaPy
31 lines
910 B
Python
31 lines
910 B
Python
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import unittest
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import quapy as qp
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from quapy.functional import strprev
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from sklearn.linear_model import LogisticRegression
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from method.aggregative import PACC
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class MyTestCase(unittest.TestCase):
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def test_replicability(self):
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dataset = qp.datasets.fetch_UCIDataset('yeast')
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with qp.util.temp_seed(0):
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lr = LogisticRegression(random_state=0, max_iter=10000)
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pacc = PACC(lr)
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prev = pacc.fit(dataset.training).quantify(dataset.test.X)
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str_prev1 = strprev(prev, prec=5)
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with qp.util.temp_seed(0):
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lr = LogisticRegression(random_state=0, max_iter=10000)
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pacc = PACC(lr)
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prev2 = pacc.fit(dataset.training).quantify(dataset.test.X)
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str_prev2 = strprev(prev2, prec=5)
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self.assertEqual(str_prev1, str_prev2) # add assertion here
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if __name__ == '__main__':
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unittest.main()
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