sagemaker/aws.sdk.kotlin.services.sagemaker.model/ResourceConfig

ResourceConfig

class ResourceConfig

Describes the resources, including machine learning (ML) compute instances and ML storage volumes, to use for model training.

Types

object Companion

Properties

val instanceCount: Int?

The number of ML compute instances to use. For distributed training, provide a value greater than 1.

val instanceGroups: List<InstanceGroup>?

The configuration of a heterogeneous cluster in JSON format.

val instanceType: TrainingInstanceType?

The ML compute instance type.

keepAlivePeriodInSeconds

val keepAlivePeriodInSeconds: Int?

The duration of time in seconds to retain configured resources in a warm pool for subsequent training jobs.

val volumeKmsKeyId: String?

The Amazon Web Services KMS key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job.

val volumeSizeInGb: Int?

The size of the ML storage volume that you want to provision.

Functions

inline fun copy(block: ResourceConfig.Builder.() -> Unit = {}): ResourceConfig

open operator override fun equals(other: Any?): Boolean

open override fun hashCode(): Int

open override fun toString(): String