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Posted to issues@spark.apache.org by "zhengruifeng (JIRA)" <ji...@apache.org> on 2016/10/11 10:18:20 UTC

[jira] [Updated] (SPARK-14272) Evaluate GaussianMixtureModel with LogLikelihood

     [ https://issues.apache.org/jira/browse/SPARK-14272?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

zhengruifeng updated SPARK-14272:
---------------------------------
    Component/s:     (was: MLlib)
                 ML

> Evaluate GaussianMixtureModel with LogLikelihood
> ------------------------------------------------
>
>                 Key: SPARK-14272
>                 URL: https://issues.apache.org/jira/browse/SPARK-14272
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>            Reporter: zhengruifeng
>            Priority: Minor
>
> GMM use EM to maximum the likelihood of data. So likelihood can be a useful metric to evaluate GaussianMixtureModel.



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