GoogleCloudAiplatformV1SchemaTrainingjobDefinitionHierarchyConfig
import type { GoogleCloudAiplatformV1SchemaTrainingjobDefinitionHierarchyConfig } from "https://googleapis.deno.dev/v1/aiplatform:v1.ts";Configuration that defines the hierarchical relationship of time series and parameters for hierarchical forecasting strategies.
interface GoogleCloudAiplatformV1SchemaTrainingjobDefinitionHierarchyConfig {
groupColumns?: string[];
groupTemporalTotalWeight?: number;
groupTotalWeight?: number;
temporalTotalWeight?: number;
}§Properties
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groupColumns?: string[]
[src]A list of time series attribute column names that define the time series hierarchy. Only one level of hierarchy is supported, ex. 'region' for a hierarchy of stores or 'department' for a hierarchy of products. If multiple columns are specified, time series will be grouped by their combined values, ex. ('blue', 'large') for 'color' and 'size', up to 5 columns are accepted. If no group columns are specified, all time series are considered to be part of the same group.
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groupTemporalTotalWeight?: number
[src]The weight of the loss for predictions aggregated over both the horizon and time series in the same hierarchy group.