Python MMC Examples

Example #1

 def test_mmc(self):
     def_kwargs = {
         'convergence_threshold': 0.001,
         'diagonal': False,
         'diagonal_c': 1.0,
         'init': 'identity',
         'max_iter': 100,
         'max_proj': 10000,
         'preprocessor': None,
         'random_state': None,
         'verbose': False
     }
     nndef_kwargs = {'diagonal': True}
     merged_kwargs = sk_repr_kwargs(def_kwargs, nndef_kwargs)
     self.assertEqual(remove_spaces(str(metric_learn.MMC(diagonal=True))),
                      remove_spaces(f"MMC({merged_kwargs})"))
     def_kwargs = {
         'convergence_threshold': 1e-06,
         'diagonal': False,
         'diagonal_c': 1.0,
         'init': 'identity',
         'max_iter': 100,
         'max_proj': 10000,
         'num_constraints': None,
         'preprocessor': None,
         'random_state': None,
         'verbose': False
     }
     nndef_kwargs = {'max_iter': 1}
     merged_kwargs = sk_repr_kwargs(def_kwargs, nndef_kwargs)
     self.assertEqual(
         remove_spaces(str(metric_learn.MMC_Supervised(max_iter=1))),
         remove_spaces(f"MMC_Supervised({merged_kwargs})"))

Example #2

  def test_mmc(self):
    self.assertEqual(str(metric_learn.MMC()), """
MMC(A0=None, convergence_threshold=0.001, diagonal=False, diagonal_c=1.0,
  max_iter=100, max_proj=10000, preprocessor=None, verbose=False)
""".strip('\n'))
    self.assertEqual(str(metric_learn.MMC_Supervised()), """
MMC_Supervised(A0=None, convergence_threshold=1e-06, diagonal=False,
        diagonal_c=1.0, max_iter=100, max_proj=10000, num_constraints=None,
        num_labeled='deprecated', preprocessor=None, verbose=False)
""".strip('\n'))

Example #3

    def test_mmc(self):
        self.assertEqual(
            remove_spaces(str(metric_learn.MMC())),
            remove_spaces("""
MMC(A0='deprecated', convergence_threshold=0.001, diagonal=False,
  diagonal_c=1.0, init=None, max_iter=100, max_proj=10000,
  preprocessor=None, random_state=None, verbose=False)
"""))
        self.assertEqual(
            remove_spaces(str(metric_learn.MMC_Supervised())),
            remove_spaces("""
MMC_Supervised(A0='deprecated', convergence_threshold=1e-06, diagonal=False,
        diagonal_c=1.0, init=None, max_iter=100, max_proj=10000,
        num_constraints=None, num_labeled='deprecated', preprocessor=None,
        random_state=None, verbose=False)
"""))

Example #4

File: test_base_metric.py Project: aashsach/metric-learn

 def test_mmc(self):
     self.assertEqual(remove_spaces(str(metric_learn.MMC(diagonal=True))),
                      remove_spaces("MMC(diagonal=True)"))
     self.assertEqual(
         remove_spaces(str(metric_learn.MMC_Supervised(max_iter=1))),
         remove_spaces("MMC_Supervised(max_iter=1)"))