Struct aws_sdk_machinelearning::model::RealtimeEndpointInfo

#[non_exhaustive]
pub struct RealtimeEndpointInfo {
    pub peak_requests_per_second: i32,
    pub created_at: Option<DateTime>,
    pub endpoint_url: Option<String>,
    pub endpoint_status: Option<RealtimeEndpointStatus>,
}

Describes the real-time endpoint information for an MLModel.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

peak_requests_per_second: i32

The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.

created_at: Option<DateTime>

The time that the request to create the real-time endpoint for the MLModel was received. The time is expressed in epoch time.

endpoint_url: Option<String>

The URI that specifies where to send real-time prediction requests for the MLModel.

Note: The application must wait until the real-time endpoint is ready before using this URI.

endpoint_status: Option<RealtimeEndpointStatus>

The current status of the real-time endpoint for the MLModel. This element can have one of the following values:

• NONE - Endpoint does not exist or was previously deleted.

• READY - Endpoint is ready to be used for real-time predictions.

• UPDATING - Updating/creating the endpoint.

Implementations

impl RealtimeEndpointInfo

pub fn peak_requests_per_second(&self) -> i32

The maximum processing rate for the real-time endpoint for MLModel, measured in incoming requests per second.

pub fn created_at(&self) -> Option<&DateTime>

The time that the request to create the real-time endpoint for the MLModel was received. The time is expressed in epoch time.

pub fn endpoint_url(&self) -> Option<&str>

The URI that specifies where to send real-time prediction requests for the MLModel.

Note: The application must wait until the real-time endpoint is ready before using this URI.

pub fn endpoint_status(&self) -> Option<&RealtimeEndpointStatus>

The current status of the real-time endpoint for the MLModel. This element can have one of the following values:

• NONE - Endpoint does not exist or was previously deleted.

• READY - Endpoint is ready to be used for real-time predictions.

• UPDATING - Updating/creating the endpoint.

impl RealtimeEndpointInfo

pub fn builder() -> Builder

Creates a new builder-style object to manufacture RealtimeEndpointInfo

Trait Implementations

impl Clone for RealtimeEndpointInfo

fn clone(&self) -> RealtimeEndpointInfo

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for RealtimeEndpointInfo

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

Formats the value using the given formatter.

impl PartialEq<RealtimeEndpointInfo> for RealtimeEndpointInfo

fn eq(&self, other: &RealtimeEndpointInfo) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &RealtimeEndpointInfo) -> bool

This method tests for !=.

impl StructuralPartialEq for RealtimeEndpointInfo