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

TrainingDataConfig

class TrainingDataConfig

The training data configuration to use when creating a domain recommender or custom solution version (trained model).

Types

Builder

class Builder

Companion

object Companion

Properties

excludedDatasetColumns

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

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.

includedDatasetColumns

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

A map that specifies which columns to include from each dataset during training. The map can contain up to 3 entries, where each key is a dataset name (maximum length of 256 characters, must contain only letters and underscores) and each value is an array of up to 50 column names. Column names can be up to 150 characters long, must start with a letter or underscore, and can contain only letters, numbers, and underscores.

Functions

copy

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

equals

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

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String