customerprofiles/aws.sdk.kotlin.services.customerprofiles.model/RecommenderConfig

RecommenderConfig

class RecommenderConfig

Configuration settings that define the behavior and parameters of a recommender.

Types

Builder

class Builder

Companion

object Companion

Properties

eventsConfig

val eventsConfig: EventsConfig?

Configuration settings for how the recommender processes and uses events.

includedColumns

val includedColumns: Map<String, List<String>>?

A map of dataset type to a list of column names to train on. The column names must be a subset of the columns defined in the recommender schema. If not specified, all columns in the schema are used for training. The following columns are always included and do not need to be specified: Item.Id, ItemList[].Id, EventTimestamp, EventType, and EventValue.

inferenceConfig

val inferenceConfig: InferenceConfig?

Configuration settings for how the recommender handles inference requests.

trainingFrequency

val trainingFrequency: Int?

How often the recommender should retrain its model with new data.

Functions

copy

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

equals

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

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String