Adds the new data and label to the known data for each learner, but does not retrain the model. Args: X: The new samples for which the labels are supplied by the expert. y: Labels corresponding to the new instances in X. Note: If the learn
(self, X: modALinput, y: modALinput)
| 233 | return len(self.learner_list) |
| 234 | |
| 235 | def _add_training_data(self, X: modALinput, y: modALinput) -> None: |
| 236 | """ |
| 237 | Adds the new data and label to the known data for each learner, but does not retrain the model. |
| 238 | Args: |
| 239 | X: The new samples for which the labels are supplied by the expert. |
| 240 | y: Labels corresponding to the new instances in X. |
| 241 | Note: |
| 242 | If the learners have been fitted, the features in X have to agree with the training samples which the |
| 243 | classifier has seen. |
| 244 | """ |
| 245 | for learner in self.learner_list: |
| 246 | learner._add_training_data(X, y) |
| 247 | |
| 248 | def _fit_to_known(self, bootstrap: bool = False, **fit_kwargs) -> None: |
| 249 | """ |