SNN2.src.model.callbacks.FakeReinforceFixedAction module

SNN2.src.model.callbacks.FakeReinforceFixedAction.FakeReinforceFixedAction(model, env, numpyRNG, env_evaluation_obj: DatasetV2, env_evaluation_expected_classes: Tensor, env_evaluation_expected_qoe: Tensor, threshold_unit: str = 'ep', threshold: int | str = 10, action: int | str = 0, logger: LogHandler | None = None, csv_output: str | None = None)