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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/07/10 20:52:04 UTC

[jira] [Created] (SPARK-8986) GaussianMixture should take smoothing param

Joseph K. Bradley created SPARK-8986:
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             Summary: GaussianMixture should take smoothing param
                 Key: SPARK-8986
                 URL: https://issues.apache.org/jira/browse/SPARK-8986
             Project: Spark
          Issue Type: New Feature
          Components: MLlib
            Reporter: Joseph K. Bradley


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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