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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/03/30 16:15:25 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 ]

Sean Owen updated SPARK-14272:
------------------------------
    Summary: Evaluate GaussianMixtureModel with LogLikelihood  (was: Evaluate GaussianMixtureModel with LogLooklihood)

> Evaluate GaussianMixtureModel with LogLikelihood
> ------------------------------------------------
>
>                 Key: SPARK-14272
>                 URL: https://issues.apache.org/jira/browse/SPARK-14272
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>            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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