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The AWS SDK for Kotlin client for Personalize
The newest version!
// Code generated by smithy-kotlin-codegen. DO NOT EDIT!
package aws.sdk.kotlin.services.personalize.model
import aws.smithy.kotlin.runtime.SdkDsl
/**
* The configuration details of the recommender.
*/
public class RecommenderConfig private constructor(builder: Builder) {
/**
* Whether metadata with recommendations is enabled for the recommender. If enabled, you can specify the columns from your Items dataset in your request for recommendations. Amazon Personalize returns this data for each item in the recommendation response. For information about enabling metadata for a recommender, see [Enabling metadata in recommendations for a recommender](https://docs.aws.amazon.com/personalize/latest/dg/creating-recommenders.html#create-recommender-return-metadata).
*
* If you enable metadata in recommendations, you will incur additional costs. For more information, see [Amazon Personalize pricing](https://aws.amazon.com/personalize/pricing/).
*/
public val enableMetadataWithRecommendations: kotlin.Boolean? = builder.enableMetadataWithRecommendations
/**
* Specifies the exploration configuration hyperparameters, including `explorationWeight` and `explorationItemAgeCutOff`, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide `itemExplorationConfig` data only if your recommenders generate personalized recommendations for a user (not popular items or similar items).
*/
public val itemExplorationConfig: Map? = builder.itemExplorationConfig
/**
* Specifies the requested minimum provisioned recommendation requests per second that Amazon Personalize will support. A high `minRecommendationRequestsPerSecond` will increase your bill. We recommend starting with 1 for `minRecommendationRequestsPerSecond` (the default). Track your usage using Amazon CloudWatch metrics, and increase the `minRecommendationRequestsPerSecond` as necessary.
*/
public val minRecommendationRequestsPerSecond: kotlin.Int? = builder.minRecommendationRequestsPerSecond
/**
* Specifies the training data configuration to use when creating a domain recommender.
*/
public val trainingDataConfig: aws.sdk.kotlin.services.personalize.model.TrainingDataConfig? = builder.trainingDataConfig
public companion object {
public operator fun invoke(block: Builder.() -> kotlin.Unit): aws.sdk.kotlin.services.personalize.model.RecommenderConfig = Builder().apply(block).build()
}
override fun toString(): kotlin.String = buildString {
append("RecommenderConfig(")
append("enableMetadataWithRecommendations=$enableMetadataWithRecommendations,")
append("itemExplorationConfig=$itemExplorationConfig,")
append("minRecommendationRequestsPerSecond=$minRecommendationRequestsPerSecond,")
append("trainingDataConfig=$trainingDataConfig")
append(")")
}
override fun hashCode(): kotlin.Int {
var result = enableMetadataWithRecommendations?.hashCode() ?: 0
result = 31 * result + (itemExplorationConfig?.hashCode() ?: 0)
result = 31 * result + (minRecommendationRequestsPerSecond ?: 0)
result = 31 * result + (trainingDataConfig?.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 RecommenderConfig
if (enableMetadataWithRecommendations != other.enableMetadataWithRecommendations) return false
if (itemExplorationConfig != other.itemExplorationConfig) return false
if (minRecommendationRequestsPerSecond != other.minRecommendationRequestsPerSecond) return false
if (trainingDataConfig != other.trainingDataConfig) return false
return true
}
public inline fun copy(block: Builder.() -> kotlin.Unit = {}): aws.sdk.kotlin.services.personalize.model.RecommenderConfig = Builder(this).apply(block).build()
@SdkDsl
public class Builder {
/**
* Whether metadata with recommendations is enabled for the recommender. If enabled, you can specify the columns from your Items dataset in your request for recommendations. Amazon Personalize returns this data for each item in the recommendation response. For information about enabling metadata for a recommender, see [Enabling metadata in recommendations for a recommender](https://docs.aws.amazon.com/personalize/latest/dg/creating-recommenders.html#create-recommender-return-metadata).
*
* If you enable metadata in recommendations, you will incur additional costs. For more information, see [Amazon Personalize pricing](https://aws.amazon.com/personalize/pricing/).
*/
public var enableMetadataWithRecommendations: kotlin.Boolean? = null
/**
* Specifies the exploration configuration hyperparameters, including `explorationWeight` and `explorationItemAgeCutOff`, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide `itemExplorationConfig` data only if your recommenders generate personalized recommendations for a user (not popular items or similar items).
*/
public var itemExplorationConfig: Map? = null
/**
* Specifies the requested minimum provisioned recommendation requests per second that Amazon Personalize will support. A high `minRecommendationRequestsPerSecond` will increase your bill. We recommend starting with 1 for `minRecommendationRequestsPerSecond` (the default). Track your usage using Amazon CloudWatch metrics, and increase the `minRecommendationRequestsPerSecond` as necessary.
*/
public var minRecommendationRequestsPerSecond: kotlin.Int? = null
/**
* Specifies the training data configuration to use when creating a domain recommender.
*/
public var trainingDataConfig: aws.sdk.kotlin.services.personalize.model.TrainingDataConfig? = null
@PublishedApi
internal constructor()
@PublishedApi
internal constructor(x: aws.sdk.kotlin.services.personalize.model.RecommenderConfig) : this() {
this.enableMetadataWithRecommendations = x.enableMetadataWithRecommendations
this.itemExplorationConfig = x.itemExplorationConfig
this.minRecommendationRequestsPerSecond = x.minRecommendationRequestsPerSecond
this.trainingDataConfig = x.trainingDataConfig
}
@PublishedApi
internal fun build(): aws.sdk.kotlin.services.personalize.model.RecommenderConfig = RecommenderConfig(this)
/**
* construct an [aws.sdk.kotlin.services.personalize.model.TrainingDataConfig] inside the given [block]
*/
public fun trainingDataConfig(block: aws.sdk.kotlin.services.personalize.model.TrainingDataConfig.Builder.() -> kotlin.Unit) {
this.trainingDataConfig = aws.sdk.kotlin.services.personalize.model.TrainingDataConfig.invoke(block)
}
internal fun correctErrors(): Builder {
return this
}
}
}