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Spark Normalizer

Tools & ServicesApache SparkColumnConvert & Replace
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This node normalizes the values of all selected (numeric) columns.

Node details

Input ports
  1. Type: Spark Data
    Spark DataFrame/RDD
    Spark DataFrame/RDD requiring normalization of some or all columns.
Output ports
  1. Type: Spark Data
    Normalized Spark DataFrame/RDD
    Spark DataFrame/RDD with normalized columns.
  2. Type: PMML
    PMML Model
    PMML document containing normalization parameters, which can be used in the "Spark Compiled Transformations Applier" node to normalize test data the same way as the training data has been normalized.

Extension

The Spark Normalizer node is part of this extension:

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Related workflows & nodes

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