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ARIMA Predictor

ARIMA Plug-in version 4.0.0.v201905311239 by KNIME AG, Zurich, Switzerland

Computes predictions from estimated ARIMA model. Two types of predictions are computed:

  1. Forecast: forecast of the given time series h periods ahead.
  2. In-sample prediction: reproduces the given time series using the estimated model.

Options

Column containing univariate time series for prediction
Name of the column containing the original data.
Number of periods to forecast
How many periods ahead should be forecasted.

Input Ports

ARIMA model
Data for prediction

Output Ports

Time series with the forecast.
Data table with in-sample prediction added.

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

To use this node in KNIME, install KNIME Autoregressive integrated moving average (ARIMA) from the following update site:

KNIME 4.0
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