Spark PMML Model Predictor

This node compiles the given PMML model into bytecode and runs it on the input data on Apache Spark.

Options

Change prediction column name: When set, you can change the name of the prediction column.
Prediction Column: The possibly overridden column name for the predicted column. (The default is: Prediction (trainingColumn).)
Append columns with normalized class distribution: Shows the normalized class distribution for each prediction (If applicable, eg for classification models).
Suffix for probability columns: Suffix for the normalized distribution columns. Their names are like: P (trainingColumn=value).

This node has no views

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.

To use this node in KNIME, install the extension KNIME Extension for Apache Spark (legacy) 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.v202311021430

On NodePit since: 2023-12-06

Last update: 2024-04-24

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.