Spark Compiled Transformations Applier

Manipulator

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.

Extension

This node is part of the extension

KNIME Extension for Apache Spark

v4.0.0

Short Link

Drag node into KNIME Analytics Platform