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  1. Spark
  2. SPARK-21086 CrossValidator, TrainValidationSplit should preserve all models after fitting
  3. SPARK-22004

CrossValidator, TrainValidationSplit dump sub models to disk when fitting: Scala API

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    • Sub-task
    • Status: Resolved
    • Major
    • Resolution: Incomplete
    • 2.3.0
    • None
    • ML

    Description

      We add a parameter indicating whether to persist models to disk during training (default = off). This will use ML persistence to dump models to a directory so they are available later but do not consume memory.
      Note: when persisting the model list, use indices as the sub-model path

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              Unassigned Unassigned
              weichenxu123 Weichen Xu
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                Updated:
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