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  1. Spark
  2. SPARK-14272

Evaluate GaussianMixtureModel with LogLikelihood

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Details

    • Improvement
    • Status: Resolved
    • Minor
    • Resolution: Fixed
    • None
    • 2.2.0
    • ML
    • None

    Description

      GMM use EM to maximum the likelihood of data. So likelihood can be a useful metric to evaluate GaussianMixtureModel.

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          depends upon

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-17847 Reduce shuffled data size of GaussianMixture & copy the implementation from mllib to ml

          • Major - Major loss of function.
          • Resolved
          is depended upon by

          Improvement - An improvement or enhancement to an existing feature or task. SPARK-19291 spark.gaussianMixture supports output log-likelihood

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

          New Feature - A new feature of the product, which has yet to be developed. SPARK-17825 Expose log likelihood of EM algorithm in mllib

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

          Pull request #12064 [Github] Pull Request #12064 (zhengruifeng)

          Activity

            People

              podongfeng Ruifeng Zheng
              podongfeng Ruifeng Zheng
              Yanbo Liang Yanbo Liang
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                Created:
                Updated:
                Resolved: