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Spark Transformations Applier

KNIME Extension for Apache Spark core infrastructure version 4.1.0.v201911281435 by KNIME AG, Zurich, Switzerland

This node takes the PMML transformation model and compiles it into bytecode and runs it on the given data.

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

The PMML transformation model
Spark DataFrame/RDD requiring transformation of some or all columns.

Output Ports

The input data transformed according to the input model.

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 4.1
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Developers

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