(self)
| 76 | NotFittedError, modAL.utils.validation.check_class_labels, *unfitted_learner_list) |
| 77 | |
| 78 | def test_check_class_proba(self): |
| 79 | for n_labels in range(2, 20): |
| 80 | # when all classes are known: |
| 81 | proba = np.random.rand(100, n_labels) |
| 82 | class_labels = list(range(n_labels)) |
| 83 | np.testing.assert_almost_equal( |
| 84 | modAL.utils.check_class_proba( |
| 85 | proba, known_labels=class_labels, all_labels=class_labels), |
| 86 | proba |
| 87 | ) |
| 88 | for unknown_idx in range(n_labels): |
| 89 | all_labels = list(range(n_labels)) |
| 90 | known_labels = deepcopy(all_labels) |
| 91 | known_labels.remove(unknown_idx) |
| 92 | aug_proba = np.insert( |
| 93 | proba[:, known_labels], unknown_idx, np.zeros(len(proba)), axis=1) |
| 94 | np.testing.assert_almost_equal( |
| 95 | modAL.utils.check_class_proba( |
| 96 | proba[:, known_labels], known_labels=known_labels, all_labels=all_labels), |
| 97 | aug_proba |
| 98 | ) |
| 99 | |
| 100 | def test_linear_combination(self): |
| 101 |
nothing calls this directly
no outgoing calls
no test coverage detected