ARIMA Predictor

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

Icon
ARIMA model
Icon
Data for prediction

Output Ports

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

Popular Predecessors

Popular Successors

Views

This node has no views

Workflows

Links

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.

Installation

To use this node in KNIME, install the extension KNIME Autoregressive integrated moving average (ARIMA) from the below update site following our NodePit Product and Node Installation Guide:

v5.2

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

Plugin provider: KNIME AG, Zurich, Switzerland
Plugin version: 5.2.0.v202310301556
On NodePit since: 2023-12-06
Last update: 2024-04-19
KNIME versions: Since v3.6

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!