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From "Marco Gaido (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-23528) Expose vital statistics of GaussianMixtureModel
Date Wed, 28 Feb 2018 15:01:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-23528?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16380426#comment-16380426
] 

Marco Gaido commented on SPARK-23528:
-------------------------------------

The log likelihood is already available in the summary (eg. {{model.summary.logLikelihood}}).
I will submit soon a PR adding the number of iterations. Thanks for reporting this.

> Expose vital statistics of GaussianMixtureModel
> -----------------------------------------------
>
>                 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
>            Priority: Minor
>
> 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?
>  * 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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