iter_list_retraining_schedulers `async` ¶

iter_list_retraining_schedulers(
    *,
    config_overrides: Optional[AsyncLookoutEquipmentClientConfig] = None,
    model_name_begins_with: Optional[ModelName] = None,
    status: Optional[RetrainingSchedulerStatus] = None,
    next_token: Optional[NextToken] = None,
    max_results: Optional[MaxResults] = None,
) -> AsyncIterator[ListRetrainingSchedulersResponse]

Source code in docs_src/capo_lookoutequipment/_services/async_lookout_equipment.py

async def iter_list_retraining_schedulers(
    self,
    *,
    config_overrides: Optional[AsyncLookoutEquipmentClientConfig] = None,
    model_name_begins_with: Optional[
        "capo_lookoutequipment.types.model_name.ModelName"
    ] = None,
    status: Optional[
        "capo_lookoutequipment.types.retraining_scheduler_status.RetrainingSchedulerStatus"
    ] = None,
    next_token: Optional["capo_lookoutequipment.types.next_token.NextToken"] = None,
    max_results: Optional[
        "capo_lookoutequipment.types.max_results.MaxResults"
    ] = None,
) -> "AsyncIterator[capo_lookoutequipment.types.list_retraining_schedulers_response.ListRetrainingSchedulersResponse]":
    _token = next_token
    while True:
        _response = await self.list_retraining_schedulers(
            config_overrides=config_overrides,
            model_name_begins_with=model_name_begins_with,
            status=status,
            next_token=_token,
            max_results=max_results,
        )
        yield _response
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break

iter_list_retraining_schedulers async ¶

iter_list_retraining_schedulers `async` ¶