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  1. Spark
  2. SPARK-19071 Optimizations for ML Pipeline Tuning
  3. SPARK-19357

Parallel Model Evaluation for ML Tuning: Scala

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    Details

    • Type: Sub-task
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 2.3.0
    • Component/s: ML
    • Labels:
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      Description

      This is a first step of the parent task of Optimizations for ML Pipeline Tuning to perform model evaluation in parallel. A simple approach is to naively evaluate with a possible parameter to control the level of parallelism. There are some concerns with this:

      • excessive caching of datasets
      • what to set as the default value for level of parallelism. 1 will evaluate all models in serial, as is done currently. Higher values could lead to excessive caching.

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        1. parallelism-verification-test.pdf
          402 kB
          Bryan Cutler

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              • Assignee:
                bryanc Bryan Cutler
                Reporter:
                bryanc Bryan Cutler
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