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).

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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:

v5.3

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 5.3.0.v202406141453

On NodePit since: 2024-07-09

Last update: 2024-11-15

KNIME versions: Since v3.6

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