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  1. Spark
  2. SPARK-4589

ML add-ons to SchemaRDD

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Details

    • New Feature
    • Status: Closed
    • Major
    • Resolution: Duplicate
    • None
    • None
    • ML, MLlib, SQL
    • None

    Description

      One feedback we received from the Pipeline API (SPARK-3530) is about the boilerplate code in the implementation. We can add more Scala DSL to simplify the code for the operations we need in ML. Those operations could live under spark.ml via implicit, or be added to SchemaRDD directly if they are also useful for general purpose.

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              Unassigned Unassigned
              mengxr Xiangrui Meng
              Michael Armbrust Michael Armbrust
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                Updated:
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