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  1. Spark
  2. SPARK-17133 Improvements to linear methods in Spark
  3. SPARK-17137

Add compressed support for multinomial logistic regression coefficients

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Details

    • Sub-task
    • Status: Resolved
    • Minor
    • Resolution: Fixed
    • None
    • 2.2.0
    • ML
    • None

    Description

      For sparse coefficients in MLOR, such as when high L1 regularization, it may be more efficient to store coefficients in compressed format. We can add this option to MLOR and perhaps to do some performance tests to verify improvements.

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          is related to

          New Feature - A new feature of the product, which has yet to be developed. SPARK-17471 Add compressed method for Matrix class

          • Major - Major loss of function.
          • Resolved
          links to

          Pull request #17426 [Github] Pull Request #17426 (sethah)

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              sethah Seth Hendrickson
              sethah Seth Hendrickson
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                Created:
                Updated:
                Resolved: