personalize/aws.sdk.kotlin.services.personalize.model/SolutionConfig

SolutionConfig

class SolutionConfig

Describes the configuration properties for the solution.

Types

object Companion

Properties

algorithmHyperParameters

val algorithmHyperParameters: Map<String, String>?

Lists the algorithm hyperparameters and their values.

val autoMlConfig: AutoMlConfig?

The AutoMLConfig object containing a list of recipes to search when AutoML is performed.

eventValueThreshold

val eventValueThreshold: String?

Only events with a value greater than or equal to this threshold are used for training a model.

featureTransformationParameters

val featureTransformationParameters: Map<String, String>?

Lists the feature transformation parameters.

val hpoConfig: HpoConfig?

Describes the properties for hyperparameter optimization (HPO).

optimizationObjective

val optimizationObjective: OptimizationObjective?

Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.

trainingDataConfig

val trainingDataConfig: TrainingDataConfig?

Specifies the training data configuration to use when creating a custom solution version (trained model).

Functions

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

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

open override fun hashCode(): Int

open override fun toString(): String