Struct aws_sdk_rekognition::operation::start_project_version::builders::StartProjectVersionInputBuilder

#[non_exhaustive]
pub struct StartProjectVersionInputBuilder { /* private fields */ }

A builder for StartProjectVersionInput.

Implementations

impl StartProjectVersionInputBuilder

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

The Amazon Resource Name(ARN) of the model version that you want to start.

This field is required.

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

The Amazon Resource Name(ARN) of the model version that you want to start.

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

The Amazon Resource Name(ARN) of the model version that you want to start.

pub fn min_inference_units(self, input: i32) -> Self

The minimum number of inference units to use. A single inference unit represents 1 hour of processing.

Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.

This field is required.

pub fn set_min_inference_units(self, input: Option<i32>) -> Self

The minimum number of inference units to use. A single inference unit represents 1 hour of processing.

Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.

pub fn get_min_inference_units(&self) -> &Option<i32>

The minimum number of inference units to use. A single inference unit represents 1 hour of processing.

Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.

pub fn max_inference_units(self, input: i32) -> Self

The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon Rekognition Custom Labels doesn't auto-scale the model.

pub fn set_max_inference_units(self, input: Option<i32>) -> Self

The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon Rekognition Custom Labels doesn't auto-scale the model.

pub fn get_max_inference_units(&self) -> &Option<i32>

The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon Rekognition Custom Labels doesn't auto-scale the model.

pub fn build(self) -> Result<StartProjectVersionInput, BuildError>

Consumes the builder and constructs a StartProjectVersionInput.

impl StartProjectVersionInputBuilder

pub async fn send_with( self, client: &Client, ) -> Result<StartProjectVersionOutput, SdkError<StartProjectVersionError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations

impl Clone for StartProjectVersionInputBuilder

fn clone(&self) -> StartProjectVersionInputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for StartProjectVersionInputBuilder

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

Formats the value using the given formatter.

impl Default for StartProjectVersionInputBuilder

fn default() -> StartProjectVersionInputBuilder

Returns the “default value” for a type.

impl PartialEq for StartProjectVersionInputBuilder

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for StartProjectVersionInputBuilder