Computes predictions from an estimated AutoRegressive Integrated Moving Average (ARIMA) model.
Two types of predictions are computed:
1. Forecast: forecast of the given time series h periods ahead.
2. In-Sample Prediction: generates prediction in the range of the training data.
* If Dynamic is enabled lagged predictions are used, otherwise lagged true values are used.
* Level setting determines whether in-sample differenced or original values are output. If no differencing in ARIMA model, this setting has no effect.
If you encoutner errors please verify that
Preferances > KNIME > Python (labs) > Python environment configuration
is set to bundled
- Type: PythonARIMA ModelARIMA Model.