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
   Compiled Model
   The code generated from a PMML model
2. Type: Spark Data
   Spark DataFrame/RDD
   Spark DataFrame/RDD requiring transformation of some or all columns.

Output ports

1. Type: Spark Data
   Transformed Spark DataFrame/RDD
   The input data transformed according to the input model.