Struct aws_sdk_machinelearning::operation::delete_ml_model::builders::DeleteMLModelFluentBuilder

pub struct DeleteMLModelFluentBuilder { /* private fields */ }

Fluent builder constructing a request to DeleteMLModel.

Assigns the DELETED status to an MLModel, rendering it unusable.

After using the DeleteMLModel operation, you can use the GetMLModel operation to verify that the status of the MLModel changed to DELETED.

Caution: The result of the DeleteMLModel operation is irreversible.

Implementations

impl DeleteMLModelFluentBuilder

pub fn as_input(&self) -> &DeleteMlModelInputBuilder

Access the DeleteMLModel as a reference.

pub async fn send( self ) -> Result<DeleteMlModelOutput, SdkError<DeleteMLModelError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn customize( self ) -> CustomizableOperation<DeleteMlModelOutput, DeleteMLModelError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

pub fn ml_model_id(self, input: impl Into<String>) -> Self

A user-supplied ID that uniquely identifies the MLModel.

pub fn set_ml_model_id(self, input: Option<String>) -> Self

A user-supplied ID that uniquely identifies the MLModel.

pub fn get_ml_model_id(&self) -> &Option<String>

A user-supplied ID that uniquely identifies the MLModel.

Trait Implementations

impl Clone for DeleteMLModelFluentBuilder

fn clone(&self) -> DeleteMLModelFluentBuilder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DeleteMLModelFluentBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.