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

Builder

Properties

Configuration settings for how the recommender processes and uses events.

var 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

var inferenceConfig: InferenceConfig?

Configuration settings for how the recommender handles inference requests.

trainingFrequency

var trainingFrequency: Int?

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

Functions

eventsConfig

fun eventsConfig(block: EventsConfig.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.customerprofiles.model.EventsConfig inside the given block

inferenceConfig

fun inferenceConfig(block: InferenceConfig.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.customerprofiles.model.InferenceConfig inside the given block