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).
- Type: Compiled PMML The code generated from a PMML model
- Type: Spark Data Spark DataFrame/RDD requiring transformation of some or all columns.
- Type: Spark Data The input data transformed according to the input model.