Spark Transformations Applier

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.

Popular Predecessors

Popular Successors

Views

This node has no views

Workflows

Developers

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.

Installation

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

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!