Struct StartModelInputBuilder 

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

A builder for StartModelInput.

Implementations

impl StartModelInputBuilder

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

The name of the project that contains the model that you want to start.

This field is required.

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

The name of the project that contains the model that you want to start.

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

The name of the project that contains the model that you want to start.

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

The version of the model that you want to start.

This field is required.

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

The version of the model that you want to start.

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

The version of the model 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 client_token(self, input: impl Into<String>) -> Self

ClientToken is an idempotency token that ensures a call to StartModel completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from StartModel. In this case, safely retry your call to StartModel by using the same ClientToken parameter value.

If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple start requests. You'll need to provide your own value for other use cases.

An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to StartModel. An idempotency token is active for 8 hours.

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

ClientToken is an idempotency token that ensures a call to StartModel completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from StartModel. In this case, safely retry your call to StartModel by using the same ClientToken parameter value.

If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple start requests. You'll need to provide your own value for other use cases.

An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to StartModel. An idempotency token is active for 8 hours.

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

ClientToken is an idempotency token that ensures a call to StartModel completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from StartModel. In this case, safely retry your call to StartModel by using the same ClientToken parameter value.

If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple start requests. You'll need to provide your own value for other use cases.

An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to StartModel. An idempotency token is active for 8 hours.

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 Lookout for Vision 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 Lookout for Vision 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 Lookout for Vision doesn't auto-scale the model.

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

Consumes the builder and constructs a StartModelInput.

impl StartModelInputBuilder

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

Sends a request with this input using the given client.

Trait Implementations

impl Clone for StartModelInputBuilder

fn clone(&self) -> StartModelInputBuilder

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for StartModelInputBuilder

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

Formats the value using the given formatter.

impl Default for StartModelInputBuilder

fn default() -> StartModelInputBuilder

Returns the “default value” for a type.

impl PartialEq for StartModelInputBuilder

fn eq(&self, other: &StartModelInputBuilder) -> 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 StartModelInputBuilder