Spark Transformations Applier

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
   PMML Model
   The PMML transformation 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.