Series Forecasting Functions - Teradata Vantage

Database Unbounded Array Framework Time Series Functions

Deployment
VantageCloud
VantageCore
Edition
VMware
Enterprise
IntelliFlex
Product
Teradata Vantage
Release Number
17.20
Published
June 2022
ft:locale
en-US
ft:lastEdition
2025-04-04
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TD_ARIMAFORECAST
Combines AR and MA models with differencing to predict future trends or patterns in time series data.
TD_DTW
Measures the similarity of two temporal sequences that vary in speed or timing.
TD_HOLT_WINTERS_FORECASTER
Uses triple exponential smoothing on a forecast model with seasonal data or double exponential smoothing for non-seasonal data, depending on the parameters.
TD_MAMEAN
Forecasts a user-defined number of periods into the future, that is the number of periods beyond the last observed sample point in the series.
TD_SIMPLEEXP
Uses simple exponential smoothing for the forecast model for univariate data. It does not use seasonality or trends for the model.