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Posted to issues@spark.apache.org by "holdenk (JIRA)" <ji...@apache.org> on 2018/07/13 18:27:00 UTC

[jira] [Assigned] (SPARK-23528) Add numIter to ClusteringSummary

     [ https://issues.apache.org/jira/browse/SPARK-23528?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

holdenk reassigned SPARK-23528:
-------------------------------

    Assignee: Marco Gaido

> Add numIter to ClusteringSummary
> --------------------------------
>
>                 Key: SPARK-23528
>                 URL: https://issues.apache.org/jira/browse/SPARK-23528
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.2.1
>            Reporter: Erich Schubert
>            Assignee: Marco Gaido
>            Priority: Minor
>             Fix For: 2.4.0
>
>
> Spark ML should expose vital statistics of the GMM model:
>  * *Number of iterations* (actual, not max) until the tolerance threshold was hit: we can set a maximum, but how do we know the limit was large enough, and how many iterations it really took?
> Follow up: Final log likelihood of the model: if we run multiple times with different starting conditions, how do we know which run converged to the better fit?



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