Class: Aws::Bedrock::Types::AutomatedEvaluationConfig

Inherits:

Struct

Object
Struct
Aws::Bedrock::Types::AutomatedEvaluationConfig

show all

Includes:: Structure

Defined in:: lib/aws-sdk-bedrock/types.rb

Overview

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

Constant Summary collapse

SENSITIVE =

[]

Instance Attribute Summary collapse

#dataset_metric_configs ⇒ Array<Types::EvaluationDatasetMetricConfig>

Configuration details of the prompt datasets and metrics you want to use for your evaluation job.
#evaluator_model_config ⇒ Types::EvaluatorModelConfig

Contains the evaluator model configuration details.

Instance Attribute Details

#dataset_metric_configs ⇒ `Array<Types::EvaluationDatasetMetricConfig>`

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

Returns:

(Array<Types::EvaluationDatasetMetricConfig>)

# File 'lib/aws-sdk-bedrock/types.rb', line 44

class AutomatedEvaluationConfig < Struct.new(
  :dataset_metric_configs,
  :evaluator_model_config)
  SENSITIVE = []
  include Aws::Structure
end

#evaluator_model_config ⇒ `Types::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.