Regression Predictor (sklearn)

The Regression Predictor Node accepts a trained model from any of the regression learner nodes and computes the predicted output for each row of the given input table.

It is only executable if the test data contains the feature columns that were used by the learner model.

Options

Output

Custom prediction column name

If no name is specified for the prediction column, it will default to <target_column_name>_pred.

Input Ports

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Trained regression predictor model.

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All feature columns used for training must also be present in the table for prediction.

Output Ports

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The input table concatenated with a predictions column(s) with a _pred suffix in their name.

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Links

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Installation

To use this node in KNIME, install the extension KNIME Nodes for Scikit-Learn (sklearn) Algorithms 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: 5.2.0.202311211014
On NodePit since: 2023-12-06
Last update: 2024-04-29
KNIME versions: Since v5.2

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