delete_model ¶

delete_model(
    model_name: ModelName,
    *,
    config_overrides: Optional[LookoutEquipmentClientConfig] = None,
) -> None

Deletes a machine learning model currently available for Amazon Lookout for Equipment. This will prevent it from being used with an inference scheduler, even one that is already set up.

Parameters:

model_name (ModelName) –

The name of the machine learning model to be deleted.

Raises:

AccessDeniedException –

The request could not be completed because you do not have access to the resource.
ConflictException –

The request could not be completed due to a conflict with the current state of the target resource.
InternalServerException –

Processing of the request has failed because of an unknown error, exception or failure.
ResourceNotFoundException –

The resource requested could not be found. Verify the resource ID and retry your request.
ThrottlingException –

The request was denied due to request throttling.
ValidationException –

The input fails to satisfy constraints specified by Amazon Lookout for Equipment or a related Amazon Web Services service that's being utilized.
UnknownServiceError –

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

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

def delete_model(
    self,
    model_name: "capo_lookoutequipment.types.model_name.ModelName",
    *,
    config_overrides: Optional[LookoutEquipmentClientConfig] = None,
) -> None:
    """<p>Deletes a machine learning model currently available for Amazon Lookout for Equipment. This will prevent it from being used with an inference scheduler, even one that is already set up. </p>

    Args:
        model_name: <p>The name of the machine learning model to be deleted. </p>

    Raises:
        capo_lookoutequipment.errors.access_denied_exception.AccessDeniedException: <p>The request could not be completed because you do not have access to the resource. </p>
        capo_lookoutequipment.errors.conflict_exception.ConflictException: <p> The request could not be completed due to a conflict with the current state of the target resource. </p>
        capo_lookoutequipment.errors.internal_server_exception.InternalServerException: <p> Processing of the request has failed because of an unknown error, exception or failure. </p>
        capo_lookoutequipment.errors.resource_not_found_exception.ResourceNotFoundException: <p> The resource requested could not be found. Verify the resource ID and retry your request. </p>
        capo_lookoutequipment.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling.</p>
        capo_lookoutequipment.errors.validation_exception.ValidationException: <p> The input fails to satisfy constraints specified by Amazon Lookout for Equipment or a related Amazon Web Services service that's being utilized. </p>
        capo_lookoutequipment.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_lookoutequipment.types.delete_model_request.DeleteModelRequest]",
    ) -> OperationResponse[None]:
        import capo_lookoutequipment._operations.aws_lookout_equipment_frontend_service.delete_model

        output, http_response = (
            capo_lookoutequipment._operations.aws_lookout_equipment_frontend_service.delete_model.delete_model(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteModel")
    )
    input_: capo_lookoutequipment.types.delete_model_request.DeleteModelRequest = {
        "model_name": model_name
    }

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