Time Series Forecasting
Collect dated numeric observations for a forecasting backend.
import { predictionTransport } from "./prediction-transport";
mountForm(container, { transport: predictionTransport, schema: { fields: [ { id: "history", kind: "series", label: "Demand history", mappedTo: "history", columns: [ { id: "date", kind: "date", label: "Date", required: true }, { id: "demand", kind: "number", label: "Demand", required: true, min: 0, unit: "units" }, ], minPoints: 3, maxPoints: 24, }, ], reports: [ { id: "forecast", kind: "regressor", label: "Next period", unit: "units", precision: 1 }, ], },});Serialized request:
{ "modelValues": { "history": [ { "date": "2026-01-01T00:00:00.000Z", "demand": 12 }, { "date": "2026-02-01T00:00:00.000Z", "demand": 16 }, { "date": "2026-03-01T00:00:00.000Z", "demand": 18 } ] }}Mistakes to avoid:
| Mistake | Fix |
|---|---|
| Omitting the backend target | Set mappedTo explicitly. |
| Using an unsupported sub-field kind | Use text, number, date, category, or boolean. |
| Expecting timestamp-specific sorting | Sort and de-duplicate values before assigning the series. |