Package software.amazon.awssdk.services.bedrock.model

Interface EvaluationDatasetMetricConfig.Builder

All Superinterfaces:

Buildable, CopyableBuilder<EvaluationDatasetMetricConfig.Builder,EvaluationDatasetMetricConfig>, SdkBuilder<EvaluationDatasetMetricConfig.Builder,EvaluationDatasetMetricConfig>, SdkPojo

Enclosing class:

EvaluationDatasetMetricConfig

@Mutable
@NotThreadSafe
public static interface EvaluationDatasetMetricConfig.Builder
extends SdkPojo, CopyableBuilder<EvaluationDatasetMetricConfig.Builder,EvaluationDatasetMetricConfig>

Method Summary

Modifier and Type	Method	Description
default EvaluationDatasetMetricConfig.Builder	dataset(Consumer<EvaluationDataset.Builder> dataset)	Specifies the prompt dataset.
EvaluationDatasetMetricConfig.Builder	dataset(EvaluationDataset dataset)	Specifies the prompt dataset.
EvaluationDatasetMetricConfig.Builder	metricNames(String... metricNames)	The names of the metrics you want to use for your evaluation job.
EvaluationDatasetMetricConfig.Builder	metricNames(Collection<String> metricNames)	The names of the metrics you want to use for your evaluation job.
EvaluationDatasetMetricConfig.Builder	taskType(String taskType)	The the type of task you want to evaluate for your evaluation job.
EvaluationDatasetMetricConfig.Builder	taskType(EvaluationTaskType taskType)	The the type of task you want to evaluate for your evaluation job.

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

applyMutation, build

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

equalsBySdkFields, sdkFieldNameToField, sdkFields

Method Detail

taskType

EvaluationDatasetMetricConfig.Builder taskType(String taskType)

The the type of task you want to evaluate for your evaluation job. This applies only to model evaluation jobs and is ignored for knowledge base evaluation jobs.

Parameters:

taskType - The the type of task you want to evaluate for your evaluation job. This applies only to model evaluation jobs and is ignored for knowledge base evaluation jobs.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

EvaluationTaskType, EvaluationTaskType

taskType

EvaluationDatasetMetricConfig.Builder taskType(EvaluationTaskType taskType)

The the type of task you want to evaluate for your evaluation job. This applies only to model evaluation jobs and is ignored for knowledge base evaluation jobs.

Parameters:

taskType - The the type of task you want to evaluate for your evaluation job. This applies only to model evaluation jobs and is ignored for knowledge base evaluation jobs.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

EvaluationTaskType, EvaluationTaskType

dataset

EvaluationDatasetMetricConfig.Builder dataset(EvaluationDataset dataset)

Specifies the prompt dataset.

Parameters:

dataset - Specifies the prompt dataset.

Returns:

Returns a reference to this object so that method calls can be chained together.

dataset

default EvaluationDatasetMetricConfig.Builder dataset(Consumer<EvaluationDataset.Builder> dataset)

Specifies the prompt dataset.

This is a convenience method that creates an instance of the EvaluationDataset.Builder avoiding the need to create one manually via EvaluationDataset.builder().

When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to dataset(EvaluationDataset).

Parameters:

dataset - a consumer that will call methods on EvaluationDataset.Builder

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

dataset(EvaluationDataset)

metricNames

EvaluationDatasetMetricConfig.Builder metricNames(Collection<String> metricNames)

The names of the metrics you want to use for your evaluation job.

For knowledge base evaluation jobs that evaluate retrieval only, valid values are " Builtin.ContextRelevance", "Builtin.ContextCoverage".

For knowledge base evaluation jobs that evaluate retrieval with response generation, valid values are " Builtin.Correctness", "Builtin.Completeness", "Builtin.Helpfulness", " Builtin.LogicalCoherence", "Builtin.Faithfulness", " Builtin.Harmfulness", "Builtin.Stereotyping", "Builtin.Refusal".

For automated model evaluation jobs, valid values are "Builtin.Accuracy", " Builtin.Robustness", and "Builtin.Toxicity ". In model evaluation jobs that use a LLM as judge you can specify "Builtin.Correctness", " Builtin.Completeness", "Builtin.Faithfulness", "Builtin.Helpfulness ", "Builtin.Coherence", "Builtin.Relevance", " Builtin.FollowingInstructions", "Builtin.ProfessionalStyleAndTone ", You can also specify the following responsible AI related metrics only for model evaluation job that use a LLM as judge " Builtin.Harmfulness", "Builtin.Stereotyping", and "Builtin.Refusal".

For human-based model evaluation jobs, the list of strings must match the name parameter specified in HumanEvaluationCustomMetric.

Parameters:

metricNames - The names of the metrics you want to use for your evaluation job.

For knowledge base evaluation jobs that evaluate retrieval only, valid values are " Builtin.ContextRelevance", "Builtin.ContextCoverage".

For knowledge base evaluation jobs that evaluate retrieval with response generation, valid values are "Builtin.Correctness", "Builtin.Completeness", " Builtin.Helpfulness", "Builtin.LogicalCoherence", " Builtin.Faithfulness", "Builtin.Harmfulness", " Builtin.Stereotyping", "Builtin.Refusal".

For automated model evaluation jobs, valid values are "Builtin.Accuracy", " Builtin.Robustness", and "Builtin.Toxicity ". In model evaluation jobs that use a LLM as judge you can specify "Builtin.Correctness ", "Builtin.Completeness", "Builtin.Faithfulness", " Builtin.Helpfulness", "Builtin.Coherence", "Builtin.Relevance ", "Builtin.FollowingInstructions", "Builtin.ProfessionalStyleAndTone ", You can also specify the following responsible AI related metrics only for model evaluation job that use a LLM as judge " Builtin.Harmfulness", "Builtin.Stereotyping", and " Builtin.Refusal".

For human-based model evaluation jobs, the list of strings must match the name parameter specified in HumanEvaluationCustomMetric.

Returns:

Returns a reference to this object so that method calls can be chained together.

metricNames

EvaluationDatasetMetricConfig.Builder metricNames(String... metricNames)

The names of the metrics you want to use for your evaluation job.

For knowledge base evaluation jobs that evaluate retrieval only, valid values are " Builtin.ContextRelevance", "Builtin.ContextCoverage".

For knowledge base evaluation jobs that evaluate retrieval with response generation, valid values are " Builtin.Correctness", "Builtin.Completeness", "Builtin.Helpfulness", " Builtin.LogicalCoherence", "Builtin.Faithfulness", " Builtin.Harmfulness", "Builtin.Stereotyping", "Builtin.Refusal".

For automated model evaluation jobs, valid values are "Builtin.Accuracy", " Builtin.Robustness", and "Builtin.Toxicity ". In model evaluation jobs that use a LLM as judge you can specify "Builtin.Correctness", " Builtin.Completeness", "Builtin.Faithfulness", "Builtin.Helpfulness ", "Builtin.Coherence", "Builtin.Relevance", " Builtin.FollowingInstructions", "Builtin.ProfessionalStyleAndTone ", You can also specify the following responsible AI related metrics only for model evaluation job that use a LLM as judge " Builtin.Harmfulness", "Builtin.Stereotyping", and "Builtin.Refusal".

For human-based model evaluation jobs, the list of strings must match the name parameter specified in HumanEvaluationCustomMetric.

Parameters:

metricNames - The names of the metrics you want to use for your evaluation job.

For knowledge base evaluation jobs that evaluate retrieval only, valid values are " Builtin.ContextRelevance", "Builtin.ContextCoverage".

For knowledge base evaluation jobs that evaluate retrieval with response generation, valid values are "Builtin.Correctness", "Builtin.Completeness", " Builtin.Helpfulness", "Builtin.LogicalCoherence", " Builtin.Faithfulness", "Builtin.Harmfulness", " Builtin.Stereotyping", "Builtin.Refusal".

For automated model evaluation jobs, valid values are "Builtin.Accuracy", " Builtin.Robustness", and "Builtin.Toxicity ". In model evaluation jobs that use a LLM as judge you can specify "Builtin.Correctness ", "Builtin.Completeness", "Builtin.Faithfulness", " Builtin.Helpfulness", "Builtin.Coherence", "Builtin.Relevance ", "Builtin.FollowingInstructions", "Builtin.ProfessionalStyleAndTone ", You can also specify the following responsible AI related metrics only for model evaluation job that use a LLM as judge " Builtin.Harmfulness", "Builtin.Stereotyping", and " Builtin.Refusal".

For human-based model evaluation jobs, the list of strings must match the name parameter specified in HumanEvaluationCustomMetric.

Returns:

Returns a reference to this object so that method calls can be chained together.