delete_evaluation async ¶

async def delete_evaluation(
    self,
    evaluation_id: "capo_machine_learning.types.entity_id.EntityId",
    *,
    config_overrides: Optional[AsyncMachineLearningClientConfig] = None,
) -> "capo_machine_learning.types.delete_evaluation_output.DeleteEvaluationOutput":
    """<p>Assigns the <code>DELETED</code> status to an <code>Evaluation</code>, rendering it unusable.</p> <p>After invoking the <code>DeleteEvaluation</code> operation, you can use the <code>GetEvaluation</code> operation to verify that the status of the <code>Evaluation</code> changed to <code>DELETED</code>.</p> <p> <b>Caution:</b> The results of the <code>DeleteEvaluation</code> operation are irreversible.</p>

    Args:
        evaluation_id: <p>A user-supplied ID that uniquely identifies the <code>Evaluation</code> to delete.</p>

    Raises:
        capo_machine_learning.errors.internal_server_exception.InternalServerException: <p>An error on the server occurred when trying to process a request.</p>
        capo_machine_learning.errors.invalid_input_exception.InvalidInputException: <p>An error on the client occurred. Typically, the cause is an invalid input value.</p>
        capo_machine_learning.errors.resource_not_found_exception.ResourceNotFoundException: <p>A specified resource cannot be located.</p>
        capo_machine_learning.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_machine_learning.types.delete_evaluation_input.DeleteEvaluationInput]",
    ) -> AsyncOperationResponse[
        "capo_machine_learning.types.delete_evaluation_output.DeleteEvaluationOutput"
    ]:
        import capo_machine_learning._operations.amazon_ml_20141212.delete_evaluation

        (
            output,
            http_response,
        ) = await capo_machine_learning._operations.amazon_ml_20141212.delete_evaluation.async_delete_evaluation(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteEvaluation")
    )
    input_: capo_machine_learning.types.delete_evaluation_input.DeleteEvaluationInput = {
        "evaluation_id": evaluation_id
    }

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