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From "Apache Spark (JIRA)" <>
Subject [jira] [Commented] (SPARK-23528) Expose vital statistics of GaussianMixtureModel
Date Thu, 01 Mar 2018 11:13:00 GMT


Apache Spark commented on SPARK-23528:

User 'mgaido91' has created a pull request for this issue:

> Expose vital statistics of GaussianMixtureModel
> -----------------------------------------------
>                 Key: SPARK-23528
>                 URL:
>             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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