list_configured_model_algorithms ¶

def list_configured_model_algorithms(
    self,
    *,
    config_overrides: Optional[CleanRoomsMLClientConfig] = None,
    next_token: Optional["capo_cleanroomsml.types.next_token.NextToken"] = None,
    max_results: Optional["capo_cleanroomsml.types.max_results.MaxResults"] = None,
) -> "capo_cleanroomsml.types.list_configured_model_algorithms_response.ListConfiguredModelAlgorithmsResponse":
    """<p>Returns a list of configured model algorithms.</p>

    Args:
        next_token: <p>The token value retrieved from a previous call to access the next page of results.</p>
        max_results: <p>The maximum size of the results that is returned per call.</p>

    Raises:
        capo_cleanroomsml.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_cleanroomsml.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_cleanroomsml.errors.validation_exception.ValidationException: <p>The request parameters for this request are incorrect.</p>
        capo_cleanroomsml.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_cleanroomsml.types.list_configured_model_algorithms_request.ListConfiguredModelAlgorithmsRequest]",
    ) -> OperationResponse[
        "capo_cleanroomsml.types.list_configured_model_algorithms_response.ListConfiguredModelAlgorithmsResponse"
    ]:
        import capo_cleanroomsml._operations.aws_stark_control_service.list_configured_model_algorithms

        output, http_response = (
            capo_cleanroomsml._operations.aws_stark_control_service.list_configured_model_algorithms.list_configured_model_algorithms(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListConfiguredModelAlgorithms")
    )
    input_: capo_cleanroomsml.types.list_configured_model_algorithms_request.ListConfiguredModelAlgorithmsRequest = {}
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output