personalize/aws.sdk.kotlin.services.personalize.model/Recommender

Recommender

Describes a recommendation generator for a Domain dataset group. You create a recommender in a Domain dataset group for a specific domain use case (domain recipe), and specify the recommender in a GetRecommendations request.

Types

Builder

class Builder

Companion

object Companion

Properties

creationDateTime

val creationDateTime: Instant?

The date and time (in Unix format) that the recommender was created.

datasetGroupArn

val datasetGroupArn: String?

The Amazon Resource Name (ARN) of the Domain dataset group that contains the recommender.

failureReason

val failureReason: String?

If a recommender fails, the reason behind the failure.

lastUpdatedDateTime

val lastUpdatedDateTime: Instant?

The date and time (in Unix format) that the recommender was last updated.

latestRecommenderUpdate

val latestRecommenderUpdate: RecommenderUpdateSummary?

Provides a summary of the latest updates to the recommender.

modelMetrics

val modelMetrics: Map<String, Double>?

Provides evaluation metrics that help you determine the performance of a recommender. For more information, see Evaluating a recommender.

name

val name: String?

The name of the recommender.

recipeArn

val recipeArn: String?

The Amazon Resource Name (ARN) of the recipe (Domain dataset group use case) that the recommender was created for.

recommenderArn

val recommenderArn: String?

The Amazon Resource Name (ARN) of the recommender.

recommenderConfig

val recommenderConfig: RecommenderConfig?

The configuration details of the recommender.

status

val status: String?

The status of the recommender.

Functions

copy

inline fun copy(block: Recommender.Builder.() -> Unit = {}): Recommender

equals

open operator override fun equals(other: Any?): Boolean

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String