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Spark Transformations Applier

Tools & ServicesApache SparkColumnConvert & Replace
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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).

Node details

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.

Extension

The Spark Transformations Applier node is part of this extension:

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Related workflows & nodes

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