Spark Transformations Applier

Manipulator

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

  1. Type: PMML The PMML transformation model
  2. Type: Spark Data Spark DataFrame/RDD requiring transformation of some or all columns.

Output Ports

  1. Type: Spark Data The input data transformed according to the input model.

Find here

Tools & Services > Apache Spark > Column > Convert & Replace

Make sure to have this extension installed:

KNIME Extension for Apache Spark

Update site for KNIME Analytics Platform 3.7:
KNIME Analytics Platform 3.7 Update Site

How to install extensions