Struct aws_sdk_sagemaker::operation::get_scaling_configuration_recommendation::builders::GetScalingConfigurationRecommendationFluentBuilder

pub struct GetScalingConfigurationRecommendationFluentBuilder { /* private fields */ }

Fluent builder constructing a request to GetScalingConfigurationRecommendation.

Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job. Returns recommendations for autoscaling policies that you can apply to your SageMaker endpoint.

Implementations

impl GetScalingConfigurationRecommendationFluentBuilder

pub fn as_input(&self) -> &GetScalingConfigurationRecommendationInputBuilder

Access the GetScalingConfigurationRecommendation as a reference.

pub async fn send( self ) -> Result<GetScalingConfigurationRecommendationOutput, SdkError<GetScalingConfigurationRecommendationError, 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 async fn customize( self ) -> Result<CustomizableOperation<GetScalingConfigurationRecommendationOutput, GetScalingConfigurationRecommendationError, Self>, SdkError<GetScalingConfigurationRecommendationError>>

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

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

The name of a previously completed Inference Recommender job.

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

The name of a previously completed Inference Recommender job.

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

The name of a previously completed Inference Recommender job.

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

The recommendation ID of a previously completed inference recommendation. This ID should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the EndpointName field.

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

The recommendation ID of a previously completed inference recommendation. This ID should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the EndpointName field.

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

The recommendation ID of a previously completed inference recommendation. This ID should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the EndpointName field.

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

The name of an endpoint benchmarked during a previously completed inference recommendation job. This name should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the RecommendationId field.

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

The name of an endpoint benchmarked during a previously completed inference recommendation job. This name should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the RecommendationId field.

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

The name of an endpoint benchmarked during a previously completed inference recommendation job. This name should come from one of the recommendations returned by the job specified in the InferenceRecommendationsJobName field.

Specify either this field or the RecommendationId field.

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

The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.

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

The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.

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

The percentage of how much utilization you want an instance to use before autoscaling. The default value is 50%.

pub fn scaling_policy_objective(self, input: ScalingPolicyObjective) -> Self

An object where you specify the anticipated traffic pattern for an endpoint.

pub fn set_scaling_policy_objective( self, input: Option<ScalingPolicyObjective> ) -> Self

An object where you specify the anticipated traffic pattern for an endpoint.

pub fn get_scaling_policy_objective(&self) -> &Option<ScalingPolicyObjective>

An object where you specify the anticipated traffic pattern for an endpoint.

Trait Implementations

impl Clone for GetScalingConfigurationRecommendationFluentBuilder

fn clone(&self) -> GetScalingConfigurationRecommendationFluentBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for GetScalingConfigurationRecommendationFluentBuilder

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

Formats the value using the given formatter.