Struct aws_sdk_machinelearning::client::fluent_builders::CreateRealtimeEndpoint

pub struct CreateRealtimeEndpoint { /* private fields */ }

Fluent builder constructing a request to CreateRealtimeEndpoint.

Creates a real-time endpoint for the MLModel. The endpoint contains the URI of the MLModel; that is, the location to send real-time prediction requests for the specified MLModel.

Implementations

impl CreateRealtimeEndpoint

pub async fn customize(
    self
) -> Result<CustomizableOperation<CreateRealtimeEndpoint, AwsResponseRetryClassifier>, SdkError<CreateRealtimeEndpointError>>

Consume this builder, creating a customizable operation that can be modified before being sent. The operation’s inner http::Request can be modified as well.

pub async fn send(
    self
) -> Result<CreateRealtimeEndpointOutput, SdkError<CreateRealtimeEndpointError>>

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

The ID assigned to the MLModel during creation.

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

The ID assigned to the MLModel during creation.

Trait Implementations

impl Clone for CreateRealtimeEndpoint

fn clone(&self) -> CreateRealtimeEndpoint

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateRealtimeEndpoint

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

Formats the value using the given formatter.