33 lines
894 B
Python
33 lines
894 B
Python
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import unittest
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from sklearn.linear_model import LogisticRegression
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import quapy as qp
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from quapy.method.aggregative import *
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class HierarchyTestCase(unittest.TestCase):
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def test_aggregative(self):
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lr = LogisticRegression()
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for m in [CC(lr), PCC(lr), ACC(lr), PACC(lr)]:
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self.assertEqual(isinstance(m, AggregativeQuantifier), True)
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def test_binary(self):
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lr = LogisticRegression()
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for m in [HDy(lr)]:
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self.assertEqual(isinstance(m, BinaryQuantifier), True)
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def test_probabilistic(self):
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lr = LogisticRegression()
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for m in [CC(lr), ACC(lr)]:
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self.assertEqual(isinstance(m, AggregativeProbabilisticQuantifier), False)
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for m in [PCC(lr), PACC(lr)]:
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self.assertEqual(isinstance(m, AggregativeProbabilisticQuantifier), True)
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if __name__ == '__main__':
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unittest.main()
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