commonMain.aws.sdk.kotlin.services.personalize.model.TrainingDataConfig.kt Maven / Gradle / Ivy

Go to download

Show more of this group Show more artifacts with this name
Show all versions of personalize-jvm Show documentation

The AWS SDK for Kotlin client for Personalize

There is a newer version: 1.3.76

// Code generated by smithy-kotlin-codegen. DO NOT EDIT!

package aws.sdk.kotlin.services.personalize.model

import aws.smithy.kotlin.runtime.SdkDsl

/**
 * The training data configuration to use when creating a domain recommender or custom solution version (trained model).
 */
public class TrainingDataConfig private constructor(builder: Builder) {
    /**
     * Specifies the columns to exclude from training. Each key is a dataset type, and each value is a list of columns. Exclude columns to control what data Amazon Personalize uses to generate recommendations.
     *
     *  For example, you might have a column that you want to use only to filter recommendations. You can exclude this column from training and Amazon Personalize considers it only when filtering.
     */
    public val excludedDatasetColumns: Map>? = builder.excludedDatasetColumns

    public companion object {
        public operator fun invoke(block: Builder.() -> kotlin.Unit): aws.sdk.kotlin.services.personalize.model.TrainingDataConfig = Builder().apply(block).build()
    }

    override fun toString(): kotlin.String = buildString {
        append("TrainingDataConfig(")
        append("excludedDatasetColumns=$excludedDatasetColumns")
        append(")")
    }

    override fun hashCode(): kotlin.Int {
        var result = excludedDatasetColumns?.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 TrainingDataConfig

        if (excludedDatasetColumns != other.excludedDatasetColumns) return false

        return true
    }

    public inline fun copy(block: Builder.() -> kotlin.Unit = {}): aws.sdk.kotlin.services.personalize.model.TrainingDataConfig = Builder(this).apply(block).build()

    @SdkDsl
    public class Builder {
        /**
         * Specifies the columns to exclude from training. Each key is a dataset type, and each value is a list of columns. Exclude columns to control what data Amazon Personalize uses to generate recommendations.
         *
         *  For example, you might have a column that you want to use only to filter recommendations. You can exclude this column from training and Amazon Personalize considers it only when filtering.
         */
        public var excludedDatasetColumns: Map>? = null

        @PublishedApi
        internal constructor()
        @PublishedApi
        internal constructor(x: aws.sdk.kotlin.services.personalize.model.TrainingDataConfig) : this() {
            this.excludedDatasetColumns = x.excludedDatasetColumns
        }

        @PublishedApi
        internal fun build(): aws.sdk.kotlin.services.personalize.model.TrainingDataConfig = TrainingDataConfig(this)

        internal fun correctErrors(): Builder {
            return this
        }
    }
}