Spark Normalizer


This node normalizes the values of all selected (numeric) columns.

Input Ports

  1. Type: Spark Data Spark DataFrame/RDD requiring normalization of some or all columns.

Output Ports

  1. Type: Spark Data Spark DataFrame/RDD with normalized columns.
  2. Type: PMML PMML document containing normalization parameters, which can be used in the "Spark Compiled Transformations Applier" node to normalize test data the same way as the training data has been normalized.

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