Struct aws_sdk_sagemaker::operation::create_inference_recommendations_job::builders::CreateInferenceRecommendationsJobFluentBuilder

pub struct CreateInferenceRecommendationsJobFluentBuilder { /* private fields */ }

Fluent builder constructing a request to CreateInferenceRecommendationsJob.

Starts a recommendation job. You can create either an instance recommendation or load test job.

Implementations

impl CreateInferenceRecommendationsJobFluentBuilder

pub fn as_input(&self) -> &CreateInferenceRecommendationsJobInputBuilder

Access the CreateInferenceRecommendationsJob as a reference.

pub async fn send( self ) -> Result<CreateInferenceRecommendationsJobOutput, SdkError<CreateInferenceRecommendationsJobError, 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<CreateInferenceRecommendationsJobOutput, CreateInferenceRecommendationsJobError>, SdkError<CreateInferenceRecommendationsJobError>>

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

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

A name for the recommendation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account. The job name is passed down to the resources created by the recommendation job. The names of resources (such as the model, endpoint configuration, endpoint, and compilation) that are prefixed with the job name are truncated at 40 characters.

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

A name for the recommendation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account. The job name is passed down to the resources created by the recommendation job. The names of resources (such as the model, endpoint configuration, endpoint, and compilation) that are prefixed with the job name are truncated at 40 characters.

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

A name for the recommendation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account. The job name is passed down to the resources created by the recommendation job. The names of resources (such as the model, endpoint configuration, endpoint, and compilation) that are prefixed with the job name are truncated at 40 characters.

pub fn job_type(self, input: RecommendationJobType) -> Self

Defines the type of recommendation job. Specify Default to initiate an instance recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will run an instance recommendation (DEFAULT) job.

pub fn set_job_type(self, input: Option<RecommendationJobType>) -> Self

Defines the type of recommendation job. Specify Default to initiate an instance recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will run an instance recommendation (DEFAULT) job.

pub fn get_job_type(&self) -> &Option<RecommendationJobType>

Defines the type of recommendation job. Specify Default to initiate an instance recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will run an instance recommendation (DEFAULT) job.

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

The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.

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

The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.

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

The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.

pub fn input_config(self, input: RecommendationJobInputConfig) -> Self

Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations.

pub fn set_input_config( self, input: Option<RecommendationJobInputConfig> ) -> Self

Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations.

pub fn get_input_config(&self) -> &Option<RecommendationJobInputConfig>

Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations.

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

Description of the recommendation job.

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

Description of the recommendation job.

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

Description of the recommendation job.

pub fn stopping_conditions( self, input: RecommendationJobStoppingConditions ) -> Self

A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically stopped.

pub fn set_stopping_conditions( self, input: Option<RecommendationJobStoppingConditions> ) -> Self

A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically stopped.

pub fn get_stopping_conditions( &self ) -> &Option<RecommendationJobStoppingConditions>

A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically stopped.

pub fn output_config(self, input: RecommendationJobOutputConfig) -> Self

Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.

pub fn set_output_config( self, input: Option<RecommendationJobOutputConfig> ) -> Self

Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.

pub fn get_output_config(&self) -> &Option<RecommendationJobOutputConfig>

Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.

pub fn tags(self, input: Tag) -> Self

Appends an item to Tags.

To override the contents of this collection use set_tags.

The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.

pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.

pub fn get_tags(&self) -> &Option<Vec<Tag>>

The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.

Trait Implementations

impl Clone for CreateInferenceRecommendationsJobFluentBuilder

fn clone(&self) -> CreateInferenceRecommendationsJobFluentBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateInferenceRecommendationsJobFluentBuilder

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

Formats the value using the given formatter.