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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/07/09 01:33:04 UTC

[jira] [Resolved] (SPARK-5016) GaussianMixtureEM should distribute matrix inverse for large numFeatures, k

     [ https://issues.apache.org/jira/browse/SPARK-5016?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng resolved SPARK-5016.
----------------------------------
       Resolution: Fixed
    Fix Version/s: 1.5.0

Issue resolved by pull request 7166
[https://github.com/apache/spark/pull/7166]

> GaussianMixtureEM should distribute matrix inverse for large numFeatures, k
> ---------------------------------------------------------------------------
>
>                 Key: SPARK-5016
>                 URL: https://issues.apache.org/jira/browse/SPARK-5016
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>    Affects Versions: 1.2.0
>            Reporter: Joseph K. Bradley
>            Assignee: Feynman Liang
>              Labels: clustering
>             Fix For: 1.5.0
>
>
> If numFeatures or k are large, GMM EM should distribute the matrix inverse computation for Gaussian initialization.



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