Struct aws_sdk_sagemaker::client::fluent_builders::CreateInferenceRecommendationsJob

pub struct CreateInferenceRecommendationsJob<C = DynConnector, M = DefaultMiddleware, R = Standard> { /* 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<C, M, R> CreateInferenceRecommendationsJob<C, M, R> where
    C: SmithyConnector,
    M: SmithyMiddleware<C>,
    R: NewRequestPolicy, 

pub async fn send(
    self
) -> Result<CreateInferenceRecommendationsJobOutput, SdkError<CreateInferenceRecommendationsJobError>> where
    R::Policy: SmithyRetryPolicy<CreateInferenceRecommendationsJobInputOperationOutputAlias, CreateInferenceRecommendationsJobOutput, CreateInferenceRecommendationsJobError, CreateInferenceRecommendationsJobInputOperationRetryAlias>, 

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 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.

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.

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 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 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 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 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 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.

Trait Implementations

impl<C: Clone, M: Clone, R: Clone> Clone for CreateInferenceRecommendationsJob<C, M, R>

fn clone(&self) -> CreateInferenceRecommendationsJob<C, M, R>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<C: Debug, M: Debug, R: Debug> Debug for CreateInferenceRecommendationsJob<C, M, R>

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

Formats the value using the given formatter.