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

Builder

class Builder

Properties

additionalS3DataSource

var additionalS3DataSource: AdditionalS3DataSource?

The additional data source used during the training job.

metricDefinitions

var metricDefinitions: List<MetricDefinition>?

A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

supportedHyperParameters

var supportedHyperParameters: List<HyperParameterSpecification>?

A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

supportedTrainingInstanceTypes

var supportedTrainingInstanceTypes: List<TrainingInstanceType>?

A list of the instance types that this algorithm can use for training.

supportedTuningJobObjectiveMetrics

var supportedTuningJobObjectiveMetrics: List<HyperParameterTuningJobObjective>?

A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.

supportsDistributedTraining

var supportsDistributedTraining: Boolean?

Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.

trainingChannels

var trainingChannels: List<ChannelSpecification>?

A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

trainingImage

var trainingImage: String?

The Amazon ECR registry path of the Docker image that contains the training algorithm.

trainingImageDigest

var trainingImageDigest: String?

An MD5 hash of the training algorithm that identifies the Docker image used for training.

Functions

additionalS3DataSource

fun additionalS3DataSource(block: AdditionalS3DataSource.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.AdditionalS3DataSource inside the given block