Source code for quapy.tests.test_hierarchy

import unittest
from sklearn.linear_model import LogisticRegression
from quapy.method.aggregative import *


[docs] class HierarchyTestCase(unittest.TestCase):
[docs] def test_aggregative(self): lr = LogisticRegression() for m in [CC(lr), PCC(lr), ACC(lr), PACC(lr)]: self.assertEqual(isinstance(m, AggregativeQuantifier), True)
[docs] def test_binary(self): lr = LogisticRegression() for m in [HDy(lr)]: self.assertEqual(isinstance(m, BinaryQuantifier), True)
[docs] def test_probabilistic(self): lr = LogisticRegression() for m in [CC(lr), ACC(lr)]: self.assertEqual(isinstance(m, AggregativeCrispQuantifier), True) self.assertEqual(isinstance(m, AggregativeSoftQuantifier), False) for m in [PCC(lr), PACC(lr)]: self.assertEqual(isinstance(m, AggregativeCrispQuantifier), False) self.assertEqual(isinstance(m, AggregativeSoftQuantifier), True)
if __name__ == '__main__': unittest.main()