Struct EvaluationSummary 

#[non_exhaustive]
pub struct EvaluationSummary {
    pub job_arn: String,
    pub job_name: String,
    pub status: EvaluationJobStatus,
    pub creation_time: DateTime,
    pub job_type: EvaluationJobType,
    pub evaluation_task_types: Vec<EvaluationTaskType>,
    pub model_identifiers: Vec<String>,
    pub rag_identifiers: Option<Vec<String>>,
    pub evaluator_model_identifiers: Option<Vec<String>>,
    pub custom_metrics_evaluator_model_identifiers: Option<Vec<String>>,
    pub inference_config_summary: Option<EvaluationInferenceConfigSummary>,
    pub application_type: Option<ApplicationType>,
}

Summary information of an evaluation job.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

job_arn: String

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

job_name: String

The name for the evaluation job.

status: EvaluationJobStatus

The current status of the evaluation job.

creation_time: DateTime

The time the evaluation job was created.

job_type: EvaluationJobType

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

evaluation_task_types: Vec<EvaluationTaskType>

The type of task for model evaluation.

model_identifiers: Vec<String>

👎Deprecated since 2025-03-07: Inference identifiers should be retrieved from the inferenceConfigSummary

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

rag_identifiers: Option<Vec<String>>

👎Deprecated since 2025-03-07: Inference identifiers should be retrieved from the inferenceConfigSummary

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

evaluator_model_identifiers: Option<Vec<String>>

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

custom_metrics_evaluator_model_identifiers: Option<Vec<String>>

The Amazon Resource Names (ARNs) of the models used to compute custom metrics in an Amazon Bedrock evaluation job.

inference_config_summary: Option<EvaluationInferenceConfigSummary>

Identifies the models, Knowledge Bases, or other RAG sources evaluated in a model or Knowledge Base evaluation job.

application_type: Option<ApplicationType>

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

Implementations

impl EvaluationSummary

pub fn job_arn(&self) -> &str

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

pub fn job_name(&self) -> &str

The name for the evaluation job.

pub fn status(&self) -> &EvaluationJobStatus

The current status of the evaluation job.

pub fn creation_time(&self) -> &DateTime

The time the evaluation job was created.

pub fn job_type(&self) -> &EvaluationJobType

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

pub fn evaluation_task_types(&self) -> &[EvaluationTaskType]

The type of task for model evaluation.

pub fn model_identifiers(&self) -> &[String]

👎Deprecated since 2025-03-07: Inference identifiers should be retrieved from the inferenceConfigSummary

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

pub fn rag_identifiers(&self) -> &[String]

👎Deprecated since 2025-03-07: Inference identifiers should be retrieved from the inferenceConfigSummary

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

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .rag_identifiers.is_none().

pub fn evaluator_model_identifiers(&self) -> &[String]

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

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .evaluator_model_identifiers.is_none().

pub fn custom_metrics_evaluator_model_identifiers(&self) -> &[String]

The Amazon Resource Names (ARNs) of the models used to compute custom metrics in an Amazon Bedrock evaluation job.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .custom_metrics_evaluator_model_identifiers.is_none().

pub fn inference_config_summary( &self, ) -> Option<&EvaluationInferenceConfigSummary>

Identifies the models, Knowledge Bases, or other RAG sources evaluated in a model or Knowledge Base evaluation job.

pub fn application_type(&self) -> Option<&ApplicationType>

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

impl EvaluationSummary

pub fn builder() -> EvaluationSummaryBuilder

Creates a new builder-style object to manufacture EvaluationSummary.

Trait Implementations

impl Clone for EvaluationSummary

fn clone(&self) -> EvaluationSummary

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for EvaluationSummary

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for EvaluationSummary

fn eq(&self, other: &EvaluationSummary) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for EvaluationSummary