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  1. Spark
  2. SPARK-7206

Gaussian Mixture Model (GMM) improvements

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Details

    • Umbrella
    • Status: Resolved
    • Major
    • Resolution: Incomplete
    • None
    • None
    • ML, MLlib

    Description

      This is an umbrella JIRA for listing improvements for GMMs:

      • planned improvements
      • optional/experimental work
      • tests for verifying scalability

      Attachments

        Issue Links

          duplicates

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-5014 GaussianMixture (GMM) improvements

          • Major - Major loss of function.
          • Closed
          requires

          New Feature - A new feature of the product, which has yet to be developed. SPARK-8986 GaussianMixture should take smoothing param

          • Major - Major loss of function.
          • Resolved

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-5016 GaussianMixtureEM should distribute matrix inverse for large numFeatures, k

          • Major - Major loss of function.
          • Resolved

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-5017 GaussianMixtureEM should use SVD for Gaussian initialization

          • Major - Major loss of function.
          • Resolved

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-6398 Improve utility of GaussianMixture for higher dimensional data

          • Major - Major loss of function.
          • Resolved

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-7210 Test matrix decompositions for speed vs. numerical stability for Gaussians

          • Minor - Minor loss of function, or other problem where easy workaround is present.
          • Resolved

          Activity

            People

              Unassigned Unassigned
              josephkb Joseph K. Bradley
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              Dates

                Created:
                Updated:
                Resolved: