The series forecasting functions help you to develop forecasting models using statistical models, seasonal data and historical data.
| Function | Description |
|---|---|
| TD_ARIMAFORECAST | Uses ARIMA algorithm to forecast user-defined number of periods into the future beyond the last observed sample point in the model. This function only outputs a primary result set, containing forecasted value. |
| TD_DTW | Finds the optimal, or a close to optimal warp path between two series depending on the search radius. |
| TD_HOLT_WINTERS_FORECASTER | Uses the Holt Winters model to forecast user-defined number of periods into the future beyond the last observed sample point in the model. This function outputs up to four result sets. |
| TD_MAMEAN | Uses available historical data to forecast activity user-defined number of periods into the future. |
| TD_SIMPLEEXP | Uses a forecasting model that uses the level modeling component to accomplish the forecasting of the original series. |