sagemaker/aws.sdk.kotlin.services.sagemaker.model/TimeSeriesTransformations

TimeSeriesTransformations

Transformations allowed on the dataset. Supported transformations are Filling and Aggregation. Filling specifies how to add values to missing values in the dataset. Aggregation defines how to aggregate data that does not align with forecast frequency.

Types

Builder

class Builder

Companion

object Companion

Properties

aggregation

val aggregation: Map<String, AggregationTransformationValue>?

A key value pair defining the aggregation method for a column, where the key is the column name and the value is the aggregation method.

filling

val filling: Map<String, Map<FillingType, String>>?

A key value pair defining the filling method for a column, where the key is the column name and the value is an object which defines the filling logic. You can specify multiple filling methods for a single column.

Functions

copy

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

equals

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

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String