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  1. Spark
  2. SPARK-1856 Standardize MLlib interfaces
  3. SPARK-3530

Pipeline and Parameters

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Details

    • Sub-task
    • Status: Resolved
    • Critical
    • Resolution: Fixed
    • None
    • 1.2.0
    • MLlib
    • None

    Description

      This part of the design doc is for pipelines and parameters. I put the design doc at

      https://docs.google.com/document/d/1rVwXRjWKfIb-7PI6b86ipytwbUH7irSNLF1_6dLmh8o/edit?usp=sharing

      I will copy the proposed interfaces to this JIRA later. Some sample code can be viewed at: https://github.com/mengxr/spark-ml/

      Please help review the design and post your comments here. Thanks!

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        Issue Links

          contains

          New Feature - A new feature of the product, which has yet to be developed. SPARK-3315 Support hyperparameter tuning

          • Major - Major loss of function.
          • Closed
          is related to

          New Feature - A new feature of the product, which has yet to be developed. SPARK-4586 Python API for ML Pipeline

          • Critical - Crashes, loss of data, severe memory leak.
          • Resolved
          relates to

          Sub-task - The sub-task of the issue SPARK-3573 Dataset

          • Critical - Crashes, loss of data, severe memory leak.
          • Resolved
          links to

          Pull request #3099 [Github] Pull Request #3099 (mengxr)

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            People

              mengxr Xiangrui Meng
              mengxr Xiangrui Meng
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                Updated:
                Resolved: