| 1065 | learner.teach(X, y, bootstrap=bootstrap, only_new=only_new) |
| 1066 | |
| 1067 | def test_nan(self): |
| 1068 | X_training_nan = np.ones(shape=(10, 2)) * np.nan |
| 1069 | X_training_inf = np.ones(shape=(10, 2)) * np.inf |
| 1070 | y_training = np.random.randint(0, 2, size=10) |
| 1071 | |
| 1072 | learner = modAL.models.learners.ActiveLearner( |
| 1073 | X_training=X_training_nan, y_training=y_training, |
| 1074 | estimator=mock.MockEstimator(), |
| 1075 | force_all_finite=False |
| 1076 | ) |
| 1077 | learner.teach(X_training_nan, y_training) |
| 1078 | |
| 1079 | learner = modAL.models.learners.ActiveLearner( |
| 1080 | X_training=X_training_inf, y_training=y_training, |
| 1081 | estimator=mock.MockEstimator(), |
| 1082 | force_all_finite=False |
| 1083 | ) |
| 1084 | learner.teach(X_training_inf, y_training) |
| 1085 | |
| 1086 | def test_keras(self): |
| 1087 | pass |