batch_get_metrics `async` ¶

batch_get_metrics(
    *,
    config_overrides: Optional[AsyncSageMakerMetricsClientConfig] = None,
    metric_queries: Optional[MetricQueryList] = None,
) -> BatchGetMetricsResponse

Used to retrieve training metrics from SageMaker.

Parameters:

metric_queries (Optional[MetricQueryList], default: None ) –

Queries made to retrieve training metrics from SageMaker.

Raises:

UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_sagemaker_metrics/_services/async_sage_maker_metrics.py

async def batch_get_metrics(
    self,
    *,
    config_overrides: Optional[AsyncSageMakerMetricsClientConfig] = None,
    metric_queries: Optional[
        "capo_sagemaker_metrics.types.metric_query_list.MetricQueryList"
    ] = None,
) -> "capo_sagemaker_metrics.types.batch_get_metrics_response.BatchGetMetricsResponse":
    """<p>Used to retrieve training metrics from SageMaker.</p>

    Args:
        metric_queries: <p>Queries made to retrieve training metrics from SageMaker.</p>

    Raises:
        capo_sagemaker_metrics.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_sagemaker_metrics.types.batch_get_metrics_request.BatchGetMetricsRequest]",
    ) -> AsyncOperationResponse[
        "capo_sagemaker_metrics.types.batch_get_metrics_response.BatchGetMetricsResponse"
    ]:
        import capo_sagemaker_metrics._operations.sage_maker_metrics_service.batch_get_metrics

        (
            output,
            http_response,
        ) = await capo_sagemaker_metrics._operations.sage_maker_metrics_service.batch_get_metrics.async_batch_get_metrics(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("BatchGetMetrics")
    )
    input_: capo_sagemaker_metrics.types.batch_get_metrics_request.BatchGetMetricsRequest = {}
    if metric_queries is not None:
        input_["metric_queries"] = metric_queries

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output

batch_get_metrics async ¶

batch_get_metrics `async` ¶