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Spark Compiled Transformations Applier

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

This node takes the data transformations bytecode produced by a PMML Compiler and runs it on the given data. To execute models, use the Compiled Model Predictor.

This node is typically used when test data shall be transformed e.g normalized the same way the training data has been transformed (e.g. using the "Spark Normalizer" node).

Input Ports

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The code generated from a PMML model
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Spark DataFrame/RDD requiring transformation of some or all columns.

Output Ports

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The input data transformed according to the input model.

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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.

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Developers

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