hyperParameterTuningResourceConfig
fun hyperParameterTuningResourceConfig(block: HyperParameterTuningResourceConfig.Builder.() -> Unit)
construct an aws.sdk.kotlin.services.sagemaker.model.HyperParameterTuningResourceConfig inside the given block
The configuration for the hyperparameter tuning resources, including the compute instances and storage volumes, used for training jobs launched by the tuning job. By default, storage volumes hold model artifacts and incremental states. Choose File for TrainingInputMode in the AlgorithmSpecification parameter to additionally store training data in the storage volume (optional).