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

HyperParameterTuningJobStrategyConfig

class HyperParameterTuningJobStrategyConfig

The configuration for a training job launched by a hyperparameter tuning job. Choose Bayesian for Bayesian optimization, and Random for random search optimization. For more advanced use cases, use Hyperband, which evaluates objective metrics for training jobs after every epoch. For more information about strategies, see How Hyperparameter Tuning Works.

Types

Builder

class Builder

Companion

object Companion

Properties

hyperbandStrategyConfig

val hyperbandStrategyConfig: HyperbandStrategyConfig?

The configuration for the object that specifies the Hyperband strategy. This parameter is only supported for the Hyperband selection for Strategy within the HyperParameterTuningJobConfig API.

Functions

copy

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

equals

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

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String