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From "Yanbo Liang (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-14272) Evaluate GaussianMixtureModel with LogLikelihood
Date Thu, 19 Jan 2017 11:50:26 GMT

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

Yanbo Liang resolved SPARK-14272.
---------------------------------
       Resolution: Fixed
         Assignee: zhengruifeng
    Fix Version/s: 2.2.0

> 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
>            Assignee: zhengruifeng
>            Priority: Minor
>             Fix For: 2.2.0
>
>
> GMM use EM to maximum the likelihood of data. So likelihood can be a useful metric to
evaluate GaussianMixtureModel.



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