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

Builder

Properties

var allocationStrategy: HyperParameterTuningAllocationStrategy?

The strategy that determines the order of preference for resources specified in InstanceConfigs used in hyperparameter optimization.

instanceConfigs

var instanceConfigs: List<HyperParameterTuningInstanceConfig>?

A list containing the configuration(s) for one or more resources for processing hyperparameter jobs. These resources include compute instances and storage volumes to use in model training jobs launched by hyperparameter tuning jobs. The AllocationStrategy controls the order in which multiple configurations provided in InstanceConfigs are used.

instanceCount

var instanceCount: Int?

The number of compute instances of type InstanceType to use. For distributed training, select a value greater than 1.

instanceType

var instanceType: TrainingInstanceType?

The instance type used to run hyperparameter optimization tuning jobs. See descriptions of instance types for more information.

volumeKmsKeyId

var volumeKmsKeyId: String?

A key used by Amazon Web Services Key Management Service to encrypt data on the storage volume attached to the compute instances used to run the training job. You can use either of the following formats to specify a key.

volumeSizeInGb

var volumeSizeInGb: Int?

The volume size in GB for the storage volume to be used in processing hyperparameter optimization jobs (optional). These volumes store model artifacts, incremental states and optionally, scratch space for training algorithms. Do not provide a value for this parameter if a value for InstanceConfigs is also specified.