Struct aws_sdk_sagemaker::types::builders::RecommendationJobInputConfigBuilder

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

A builder for RecommendationJobInputConfig.

Implementations

impl RecommendationJobInputConfigBuilder

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

The Amazon Resource Name (ARN) of a versioned model package.

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

The Amazon Resource Name (ARN) of a versioned model package.

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

The Amazon Resource Name (ARN) of a versioned model package.

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

Specifies the maximum duration of the job, in seconds.>

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

Specifies the maximum duration of the job, in seconds.>

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

Specifies the maximum duration of the job, in seconds.>

pub fn traffic_pattern(self, input: TrafficPattern) -> Self

Specifies the traffic pattern of the job.

pub fn set_traffic_pattern(self, input: Option<TrafficPattern>) -> Self

Specifies the traffic pattern of the job.

pub fn get_traffic_pattern(&self) -> &Option<TrafficPattern>

Specifies the traffic pattern of the job.

pub fn resource_limit(self, input: RecommendationJobResourceLimit) -> Self

Defines the resource limit of the job.

pub fn set_resource_limit( self, input: Option<RecommendationJobResourceLimit> ) -> Self

Defines the resource limit of the job.

pub fn get_resource_limit(&self) -> &Option<RecommendationJobResourceLimit>

Defines the resource limit of the job.

pub fn endpoint_configurations(self, input: EndpointInputConfiguration) -> Self

Appends an item to endpoint_configurations.

To override the contents of this collection use set_endpoint_configurations.

Specifies the endpoint configuration to use for a job.

pub fn set_endpoint_configurations( self, input: Option<Vec<EndpointInputConfiguration>> ) -> Self

Specifies the endpoint configuration to use for a job.

pub fn get_endpoint_configurations( &self ) -> &Option<Vec<EndpointInputConfiguration>>

Specifies the endpoint configuration to use for a job.

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

The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.

The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.

The KmsKeyId can be any of the following formats:

• // KMS Key ID

  "1234abcd-12ab-34cd-56ef-1234567890ab"

• // Amazon Resource Name (ARN) of a KMS Key

  "arn:aws:kms: : :key/ "

• // KMS Key Alias

  "alias/ExampleAlias"

• // Amazon Resource Name (ARN) of a KMS Key Alias

  "arn:aws:kms: : :alias/ "

For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.

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

The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.

The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.

The KmsKeyId can be any of the following formats:

• // KMS Key ID

  "1234abcd-12ab-34cd-56ef-1234567890ab"

• // Amazon Resource Name (ARN) of a KMS Key

  "arn:aws:kms: : :key/ "

• // KMS Key Alias

  "alias/ExampleAlias"

• // Amazon Resource Name (ARN) of a KMS Key Alias

  "arn:aws:kms: : :alias/ "

For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.

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

The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.

The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.

The KmsKeyId can be any of the following formats:

• // KMS Key ID

  "1234abcd-12ab-34cd-56ef-1234567890ab"

• // Amazon Resource Name (ARN) of a KMS Key

  "arn:aws:kms: : :key/ "

• // KMS Key Alias

  "alias/ExampleAlias"

• // Amazon Resource Name (ARN) of a KMS Key Alias

  "arn:aws:kms: : :alias/ "

For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.

pub fn container_config(self, input: RecommendationJobContainerConfig) -> Self

Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.

pub fn set_container_config( self, input: Option<RecommendationJobContainerConfig> ) -> Self

Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.

pub fn get_container_config(&self) -> &Option<RecommendationJobContainerConfig>

Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.

pub fn endpoints(self, input: EndpointInfo) -> Self

Appends an item to endpoints.

To override the contents of this collection use set_endpoints.

Existing customer endpoints on which to run an Inference Recommender job.

pub fn set_endpoints(self, input: Option<Vec<EndpointInfo>>) -> Self

Existing customer endpoints on which to run an Inference Recommender job.

pub fn get_endpoints(&self) -> &Option<Vec<EndpointInfo>>

Existing customer endpoints on which to run an Inference Recommender job.

pub fn vpc_config(self, input: RecommendationJobVpcConfig) -> Self

Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.

pub fn set_vpc_config(self, input: Option<RecommendationJobVpcConfig>) -> Self

Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.

pub fn get_vpc_config(&self) -> &Option<RecommendationJobVpcConfig>

Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.

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

The name of the created model.

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

The name of the created model.

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

The name of the created model.

pub fn build(self) -> RecommendationJobInputConfig

Consumes the builder and constructs a RecommendationJobInputConfig.

Trait Implementations

impl Clone for RecommendationJobInputConfigBuilder

fn clone(&self) -> RecommendationJobInputConfigBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for RecommendationJobInputConfigBuilder

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

Formats the value using the given formatter.

impl Default for RecommendationJobInputConfigBuilder

fn default() -> RecommendationJobInputConfigBuilder

Returns the “default value” for a type.

impl PartialEq<RecommendationJobInputConfigBuilder> for RecommendationJobInputConfigBuilder

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

This method tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for RecommendationJobInputConfigBuilder