SARIMA Predictor (Labs)

Based on a trained SARIMA model given at the model input port of this node, the forecasts values are computed.

Options

Reverse Log: Check this box if you applied the log transform inside the SARIMA Forecaster node while training your model. It will reverse the transform before generating forecasts.
Generate in-samples dynamically: Check this box to use in-sample prediction as lagged values. Otherwise use true values.
Forecast: Forecasts of the given time series h period ahead of the training data.

: Table containing forecasts for the configured column, the first value will be one timestamp ahead of the final training value used.

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To use this node in KNIME, install the extension KNIME Python Extension Development (Labs) from the below update site following our NodePit Product and Node Installation Guide:

v5.3

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.3.3.v202410291554

On NodePit since: 2024-07-09

Last update: 2024-11-20

KNIME versions: Since v5.3

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