쿠키 기본 설정 선택

당사는 사이트와 서비스를 제공하는 데 필요한 필수 쿠키 및 유사한 도구를 사용합니다. 고객이 사이트를 어떻게 사용하는지 파악하고 개선할 수 있도록 성능 쿠키를 사용해 익명의 통계를 수집합니다. 필수 쿠키는 비활성화할 수 없지만 '사용자 지정' 또는 ‘거부’를 클릭하여 성능 쿠키를 거부할 수 있습니다.

사용자가 동의하는 경우 AWS와 승인된 제3자도 쿠키를 사용하여 유용한 사이트 기능을 제공하고, 사용자의 기본 설정을 기억하고, 관련 광고를 비롯한 관련 콘텐츠를 표시합니다. 필수가 아닌 모든 쿠키를 수락하거나 거부하려면 ‘수락’ 또는 ‘거부’를 클릭하세요. 더 자세한 내용을 선택하려면 ‘사용자 정의’를 클릭하세요.

EvaluationSummary - Amazon Bedrock
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EvaluationSummary

Summary information of an evaluation job.

Contents

creationTime

The time the evaluation job was created.

Type: Timestamp

Required: Yes

evaluationTaskTypes

The type of task for model evaluation.

Type: Array of strings

Array Members: Minimum number of 1 item. Maximum number of 5 items.

Length Constraints: Minimum length of 1. Maximum length of 63.

Pattern: ^[A-Za-z0-9]+$

Valid Values: Summarization | Classification | QuestionAndAnswer | Generation | Custom

Required: Yes

jobArn

The Amazon Resource Name (ARN) of the evaluation job.

Type: String

Length Constraints: Minimum length of 0. Maximum length of 1011.

Pattern: ^arn:aws(-[^:]+)?:bedrock:[a-z0-9-]{1,20}:[0-9]{12}:evaluation-job/[a-z0-9]{12}$

Required: Yes

jobName

The name for the evaluation job.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 63.

Pattern: ^[a-z0-9](-*[a-z0-9]){0,62}$

Required: Yes

jobType

Specifies whether the evaluation job is automated or human-based.

Type: String

Valid Values: Human | Automated

Required: Yes

status

The current status of the evaluation job.

Type: String

Valid Values: InProgress | Completed | Failed | Stopping | Stopped | Deleting

Required: Yes

applicationType

Specifies whether the evaluation job is for evaluating a model or evaluating a knowledge base (retrieval and response generation).

Type: String

Valid Values: ModelEvaluation | RagEvaluation

Required: No

evaluatorModelIdentifiers

The Amazon Resource Names (ARNs) of the models used to compute the metrics for a knowledge base evaluation job.

Type: Array of strings

Array Members: Minimum number of 0 items. Maximum number of 1 item.

Length Constraints: Minimum length of 1. Maximum length of 2048.

Pattern: ^arn:aws(-[^:]+)?:bedrock:[a-z0-9-]{1,20}::foundation-model/[a-z0-9-]{1,63}[.]{1}([a-z0-9-]{1,63}[.]){0,2}[a-z0-9-]{1,63}([:][a-z0-9-]{1,63}){0,2}$|(^[a-z0-9-]+[.][a-z0-9-]+([.][a-z0-9-]+)*(:[a-z0-9-]+)?$)|^[a-z0-9-]{1,63}[.]{1}[a-z0-9-]{1,63}([a-z0-9-]{1,63}[.]){0,2}[a-z0-9-]{1,63}([:][a-z0-9-]{1,63}){0,2}(/[a-z0-9]{12}|)$

Required: No

modelIdentifiers

The Amazon Resource Names (ARNs) of the model(s) used for the evaluation job.

Type: Array of strings

Array Members: Minimum number of 0 items. Maximum number of 2 items.

Length Constraints: Minimum length of 1. Maximum length of 2048.

Pattern: ^(arn:aws(-[^:]+)?:bedrock:[a-z0-9-]{1,20}:((:foundation-model/[a-z0-9-]{1,63}[.]{1}[a-z0-9-]{1,63}([.:]?[a-z0-9-]{1,63}))|([0-9]{12}:provisioned-model/[a-z0-9]{12})|([0-9]{12}:imported-model/[a-z0-9]{12})|([0-9]{12}:application-inference-profile/[a-z0-9]{12})|([0-9]{12}:inference-profile/(([a-z-]{2,8}.)[a-z0-9-]{1,63}[.]{1}[a-z0-9-]{1,63}([.:]?[a-z0-9-]{1,63})))|([0-9]{12}:default-prompt-router/[a-zA-Z0-9-:.]+)))|(([a-z]{2}[.]{1})([a-z0-9-]{1,63}[.]{1}[a-z0-9-]{1,63}([.:]?[a-z0-9-]{1,63})))|([a-z0-9-]{1,63}[.]{1}[a-z0-9-]{1,63}([.:]?[a-z0-9-]{1,63}))|arn:aws(-[^:]+)?:sagemaker:[a-z0-9-]{1,20}:[0-9]{12}:endpoint/[a-z0-9-]{1,63}$

Required: No

ragIdentifiers

The Amazon Resource Names (ARNs) of the knowledge base resources used for a knowledge base evaluation job.

Type: Array of strings

Array Members: Minimum number of 0 items. Maximum number of 1 item.

Length Constraints: Minimum length of 0. Maximum length of 10.

Pattern: ^[0-9a-zA-Z]+$

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following:

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