sagemaker/aws.sdk.kotlin.services.sagemaker.model/CreateAlgorithmRequest/Builder/trainingSpecification

trainingSpecification

fun trainingSpecification(block: TrainingSpecification.Builder.() -> Unit)

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

var trainingSpecification: TrainingSpecification?

Specifies details about training jobs run by this algorithm, including the following:

  • The Amazon ECR path of the container and the version digest of the algorithm.

  • The hyperparameters that the algorithm supports.

  • The instance types that the algorithm supports for training.

  • Whether the algorithm supports distributed training.

  • The metrics that the algorithm emits to Amazon CloudWatch.

  • Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.

  • The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.