(self, learner_list: List[ActiveLearner], query_strategy: Callable = max_std_sampling,
on_transformed: bool = False)
| 679 | ... committee.teach(X[query_idx].reshape(-1, 1), y[query_idx].reshape(-1, 1)) |
| 680 | """ |
| 681 | def __init__(self, learner_list: List[ActiveLearner], query_strategy: Callable = max_std_sampling, |
| 682 | on_transformed: bool = False) -> None: |
| 683 | super().__init__(learner_list, query_strategy, on_transformed) |
| 684 | |
| 685 | def predict(self, X: modALinput, return_std: bool = False, **predict_kwargs) -> Any: |
| 686 | """ |