sagemaker/aws.sdk.kotlin.services.sagemaker.model/RecommendationJobInputConfig/Builder

Builder

Properties

var containerConfig: RecommendationJobContainerConfig?

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

endpointConfigurations

var endpointConfigurations: List<EndpointInputConfiguration>?

Specifies the endpoint configuration to use for a job.

endpoints

var endpoints: List<EndpointInfo>?

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

jobDurationInSeconds

var jobDurationInSeconds: Int?

Specifies the maximum duration of the job, in seconds. The maximum value is 18,000 seconds.

modelName

var modelName: String?

The name of the created model.

modelPackageVersionArn

var modelPackageVersionArn: String?

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

resourceLimit

var resourceLimit: RecommendationJobResourceLimit?

Defines the resource limit of the job.

trafficPattern

var trafficPattern: TrafficPattern?

Specifies the traffic pattern of the job.

volumeKmsKeyId

var volumeKmsKeyId: 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.

vpcConfig

var vpcConfig: RecommendationJobVpcConfig?

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

Functions

containerConfig

fun containerConfig(block: RecommendationJobContainerConfig.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.RecommendationJobContainerConfig inside the given block

resourceLimit

fun resourceLimit(block: RecommendationJobResourceLimit.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.RecommendationJobResourceLimit inside the given block

trafficPattern

fun trafficPattern(block: TrafficPattern.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.TrafficPattern inside the given block

vpcConfig

fun vpcConfig(block: RecommendationJobVpcConfig.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.RecommendationJobVpcConfig inside the given block