
commonMain.aws.sdk.kotlin.services.bedrock.model.HumanEvaluationConfig.kt Maven / Gradle / Ivy
// Code generated by smithy-kotlin-codegen. DO NOT EDIT!
package aws.sdk.kotlin.services.bedrock.model
import aws.smithy.kotlin.runtime.SdkDsl
/**
* Specifies the custom metrics, how tasks will be rated, the flow definition ARN, and your custom prompt datasets. Model evaluation jobs use human workers *only* support the use of custom prompt datasets. To learn more about custom prompt datasets and the required format, see [Custom prompt datasets](https://docs.aws.amazon.com/bedrock/latest/userguide/model-evaluation-prompt-datasets-custom.html).
*
* When you create custom metrics in `HumanEvaluationCustomMetric` you must specify the metric's `name`. The list of `names` specified in the `HumanEvaluationCustomMetric` array, must match the `metricNames` array of strings specified in `EvaluationDatasetMetricConfig`. For example, if in the `HumanEvaluationCustomMetric` array your specified the names `"accuracy", "toxicity", "readability"` as custom metrics *then* the `metricNames` array would need to look like the following `["accuracy", "toxicity", "readability"]` in `EvaluationDatasetMetricConfig`.
*/
public class HumanEvaluationConfig private constructor(builder: Builder) {
/**
* A `HumanEvaluationCustomMetric` object. It contains the names the metrics, how the metrics are to be evaluated, an optional description.
*/
public val customMetrics: List? = builder.customMetrics
/**
* Use to specify the metrics, task, and prompt dataset to be used in your model evaluation job.
*/
public val datasetMetricConfigs: List = requireNotNull(builder.datasetMetricConfigs) { "A non-null value must be provided for datasetMetricConfigs" }
/**
* The parameters of the human workflow.
*/
public val humanWorkflowConfig: aws.sdk.kotlin.services.bedrock.model.HumanWorkflowConfig? = builder.humanWorkflowConfig
public companion object {
public operator fun invoke(block: Builder.() -> kotlin.Unit): aws.sdk.kotlin.services.bedrock.model.HumanEvaluationConfig = Builder().apply(block).build()
}
override fun toString(): kotlin.String = buildString {
append("HumanEvaluationConfig(")
append("customMetrics=$customMetrics,")
append("datasetMetricConfigs=$datasetMetricConfigs,")
append("humanWorkflowConfig=$humanWorkflowConfig")
append(")")
}
override fun hashCode(): kotlin.Int {
var result = customMetrics?.hashCode() ?: 0
result = 31 * result + (datasetMetricConfigs.hashCode())
result = 31 * result + (humanWorkflowConfig?.hashCode() ?: 0)
return result
}
override fun equals(other: kotlin.Any?): kotlin.Boolean {
if (this === other) return true
if (other == null || this::class != other::class) return false
other as HumanEvaluationConfig
if (customMetrics != other.customMetrics) return false
if (datasetMetricConfigs != other.datasetMetricConfigs) return false
if (humanWorkflowConfig != other.humanWorkflowConfig) return false
return true
}
public inline fun copy(block: Builder.() -> kotlin.Unit = {}): aws.sdk.kotlin.services.bedrock.model.HumanEvaluationConfig = Builder(this).apply(block).build()
@SdkDsl
public class Builder {
/**
* A `HumanEvaluationCustomMetric` object. It contains the names the metrics, how the metrics are to be evaluated, an optional description.
*/
public var customMetrics: List? = null
/**
* Use to specify the metrics, task, and prompt dataset to be used in your model evaluation job.
*/
public var datasetMetricConfigs: List? = null
/**
* The parameters of the human workflow.
*/
public var humanWorkflowConfig: aws.sdk.kotlin.services.bedrock.model.HumanWorkflowConfig? = null
@PublishedApi
internal constructor()
@PublishedApi
internal constructor(x: aws.sdk.kotlin.services.bedrock.model.HumanEvaluationConfig) : this() {
this.customMetrics = x.customMetrics
this.datasetMetricConfigs = x.datasetMetricConfigs
this.humanWorkflowConfig = x.humanWorkflowConfig
}
@PublishedApi
internal fun build(): aws.sdk.kotlin.services.bedrock.model.HumanEvaluationConfig = HumanEvaluationConfig(this)
/**
* construct an [aws.sdk.kotlin.services.bedrock.model.HumanWorkflowConfig] inside the given [block]
*/
public fun humanWorkflowConfig(block: aws.sdk.kotlin.services.bedrock.model.HumanWorkflowConfig.Builder.() -> kotlin.Unit) {
this.humanWorkflowConfig = aws.sdk.kotlin.services.bedrock.model.HumanWorkflowConfig.invoke(block)
}
internal fun correctErrors(): Builder {
if (datasetMetricConfigs == null) datasetMetricConfigs = emptyList()
return this
}
}
}
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