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Spark PMML Model Predictor

KNIME Extension for Apache Spark core infrastructure version 4.2.0.v202007072005 by KNIME AG, Zurich, Switzerland

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).

Input Ports

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The PMML model
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The Spark DataFrame/RDD with the data to be scored

Output Ports

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The scored data

Best Friends (Incoming)

Best Friends (Outgoing)

Installation

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

KNIME 4.2

A zipped version of the software site can be downloaded here. Read our FAQs to get instructions about how to install nodes from a zipped update site.

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Developers

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