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  1. Spark
  2. SPARK-8986

GaussianMixture should take smoothing param

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    • New Feature
    • Status: Resolved
    • Major
    • Resolution: Incomplete
    • None
    • None
    • ML

    Description

      Gaussian mixture models should take a smoothing parameter which makes the algorithm robust against degenerate data or bad initializations.

      Whomever takes this JIRA should look at other libraries (sklearn, R packages, Weka, etc.) to see how they do smoothing and what their API looks like. Please summarize your findings here.

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        is required by

        Umbrella - An overarching type made of sub-tasks SPARK-7206 Gaussian Mixture Model (GMM) improvements

        • Major - Major loss of function.
        • Resolved

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            Unassigned Unassigned
            josephkb Joseph K. Bradley
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