Spark Compiled Transformations Applier


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

  1. Type: Compiled PMML The code generated from a PMML 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