
commonMain.aws.sdk.kotlin.services.bedrock.model.AutomatedEvaluationConfig.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
/**
* Use to specify a automatic model evaluation job. The `EvaluationDatasetMetricConfig` object is used to specify the prompt datasets, task type, and metric names.
*/
public class AutomatedEvaluationConfig private constructor(builder: Builder) {
/**
* Specifies the required elements for an automatic model evaluation job.
*/
public val datasetMetricConfigs: List = requireNotNull(builder.datasetMetricConfigs) { "A non-null value must be provided for datasetMetricConfigs" }
public companion object {
public operator fun invoke(block: Builder.() -> kotlin.Unit): aws.sdk.kotlin.services.bedrock.model.AutomatedEvaluationConfig = Builder().apply(block).build()
}
override fun toString(): kotlin.String = buildString {
append("AutomatedEvaluationConfig(")
append("datasetMetricConfigs=$datasetMetricConfigs")
append(")")
}
override fun hashCode(): kotlin.Int {
var result = datasetMetricConfigs.hashCode()
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 AutomatedEvaluationConfig
if (datasetMetricConfigs != other.datasetMetricConfigs) return false
return true
}
public inline fun copy(block: Builder.() -> kotlin.Unit = {}): aws.sdk.kotlin.services.bedrock.model.AutomatedEvaluationConfig = Builder(this).apply(block).build()
@SdkDsl
public class Builder {
/**
* Specifies the required elements for an automatic model evaluation job.
*/
public var datasetMetricConfigs: List? = null
@PublishedApi
internal constructor()
@PublishedApi
internal constructor(x: aws.sdk.kotlin.services.bedrock.model.AutomatedEvaluationConfig) : this() {
this.datasetMetricConfigs = x.datasetMetricConfigs
}
@PublishedApi
internal fun build(): aws.sdk.kotlin.services.bedrock.model.AutomatedEvaluationConfig = AutomatedEvaluationConfig(this)
internal fun correctErrors(): Builder {
if (datasetMetricConfigs == null) datasetMetricConfigs = emptyList()
return this
}
}
}
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