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Spark Predictor (Regression)

KNIME Extension for Apache Spark core infrastructure version 4.3.1.v202101261633 by KNIME AG, Zurich, Switzerland

This node applies regression to input data using a previously learned Spark ML regression model. Please note that all feature columns selected during model training must be present in the ingoing DataFrame.

Note: This node is not compatible with Spark MLlib models. For these models please use the Spark Predictor node.

This node requires at least Apache Spark 2.0.


Change prediction column name
When set, you can change the name of the prediction column. The default name is "Prediction (targetcolumn)".
Prediction Column
The desired name for the prediction column.

Input Ports

Spark ML regression model to use.
Spark DataFrame containing the input data to apply regression on.

Output Ports

Input DataFrame with appended prediction column.

Best Friends (Incoming)

Best Friends (Outgoing)



To use this node in KNIME, install KNIME Extension for Apache Spark from the following update site:


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

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