aws_sdk_sagemaker::operation::create_inference_recommendations_job::builders

Struct CreateInferenceRecommendationsJobInputBuilder

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

Expand description

A builder for CreateInferenceRecommendationsJobInput.

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impl CreateInferenceRecommendationsJobInputBuilder

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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.

This field is required.

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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.

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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.

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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.

This field is required.

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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.

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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.

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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.

This field is required.

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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.

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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.

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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.

This field is required.

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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.

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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.

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

Description of the recommendation job.

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

Description of the recommendation job.

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

Description of the recommendation job.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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

Consumes the builder and constructs a CreateInferenceRecommendationsJobInput.

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impl CreateInferenceRecommendationsJobInputBuilder

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

Sends a request with this input using the given client.

Trait Implementations§

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impl Clone for CreateInferenceRecommendationsJobInputBuilder

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fn clone(&self) -> CreateInferenceRecommendationsJobInputBuilder

Returns a duplicate of the value. Read more

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

Performs copy-assignment from source. Read more

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impl Debug for CreateInferenceRecommendationsJobInputBuilder

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

Formats the value using the given formatter. Read more

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impl Default for CreateInferenceRecommendationsJobInputBuilder

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fn default() -> CreateInferenceRecommendationsJobInputBuilder

Returns the “default value” for a type. Read more

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impl PartialEq for CreateInferenceRecommendationsJobInputBuilder

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

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

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

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

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impl StructuralPartialEq for CreateInferenceRecommendationsJobInputBuilder

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impl UnwindSafe for CreateInferenceRecommendationsJobInputBuilder

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Struct CreateInferenceRecommendationsJobInputBuilderCopy item path

Implementations§

impl CreateInferenceRecommendationsJobInputBuilder

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

impl CreateInferenceRecommendationsJobInputBuilder

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

Trait Implementations§

impl Clone for CreateInferenceRecommendationsJobInputBuilder

fn clone(&self) -> CreateInferenceRecommendationsJobInputBuilder

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

impl Debug for CreateInferenceRecommendationsJobInputBuilder

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

impl Default for CreateInferenceRecommendationsJobInputBuilder

fn default() -> CreateInferenceRecommendationsJobInputBuilder

impl PartialEq for CreateInferenceRecommendationsJobInputBuilder

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

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

impl StructuralPartialEq for CreateInferenceRecommendationsJobInputBuilder

Auto Trait Implementations§

impl Freeze for CreateInferenceRecommendationsJobInputBuilder

impl RefUnwindSafe for CreateInferenceRecommendationsJobInputBuilder

impl Send for CreateInferenceRecommendationsJobInputBuilder

impl Sync for CreateInferenceRecommendationsJobInputBuilder

impl Unpin for CreateInferenceRecommendationsJobInputBuilder

impl UnwindSafe for CreateInferenceRecommendationsJobInputBuilder

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impl<Unshared, Shared> IntoShared<Shared> for Unsharedwhere Shared: FromUnshared<Unshared>,

fn into_shared(self) -> Shared

impl<T> Paint for Twhere T: ?Sized,

fn fg(&self, value: Color) -> Painted<&T>

§Example

fn primary(&self) -> Painted<&T>

§Example

fn fixed(&self, color: u8) -> Painted<&T>

§Example

fn rgb(&self, r: u8, g: u8, b: u8) -> Painted<&T>

§Example

fn black(&self) -> Painted<&T>

Struct CreateInferenceRecommendationsJobInputBuilder

impl<T> Any for T
where T: 'static + ?Sized,

impl<T> Borrow<T> for T
where T: ?Sized,

impl<T> BorrowMut<T> for T
where T: ?Sized,

impl<T> CloneToUninit for T
where T: Clone,

impl<T, U> Into<U> for T
where U: From<T>,

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

impl<Unshared, Shared> IntoShared<Shared> for Unshared
where Shared: FromUnshared<Unshared>,

impl<T> Paint for T
where T: ?Sized,