GoogleCloudAiplatformV1SchemaTrainingjobDefinitionWindowConfig
import type { GoogleCloudAiplatformV1SchemaTrainingjobDefinitionWindowConfig } from "https://googleapis.deno.dev/v1/aiplatform:v1.ts";Config that contains the strategy used to generate sliding windows in time series training. A window is a series of rows that comprise the context up to the time of prediction, and the horizon following. The corresponding row for each window marks the start of the forecast horizon. Each window is used as an input example for training/evaluation.
interface GoogleCloudAiplatformV1SchemaTrainingjobDefinitionWindowConfig {
column?: string;
maxCount?: bigint;
strideLength?: bigint;
}§Properties
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column?: string
[src]Name of the column that should be used to generate sliding windows. The column should contain either booleans or string booleans; if the value of the row is True, generate a sliding window with the horizon starting at that row. The column will not be used as a feature in training.