bedrock/aws.sdk.kotlin.services.bedrock.model/AutomatedEvaluationConfig

AutomatedEvaluationConfig

The configuration details of an automated evaluation job. The EvaluationDatasetMetricConfig object is used to specify the prompt datasets, task type, and metric names.

Types

Builder

class Builder

Companion

object Companion

Properties

customMetricConfig

val customMetricConfig: AutomatedEvaluationCustomMetricConfig?

Defines the configuration of custom metrics to be used in an evaluation job.

datasetMetricConfigs

val datasetMetricConfigs: List<EvaluationDatasetMetricConfig>

Configuration details of the prompt datasets and metrics you want to use for your evaluation job.

evaluatorModelConfig

val evaluatorModelConfig: EvaluatorModelConfig?

Contains the evaluator model configuration details. EvaluatorModelConfig is required for evaluation jobs that use a knowledge base or in model evaluation job that use a model as judge. This model computes all evaluation related metrics.

Functions

copy

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

equals

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

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String