You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2015/05/04 13:46:12 UTC

[jira] [Updated] (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 ]

Sean Owen updated SPARK-5016:
-----------------------------
    Target Version/s:   (was: 1.3.0)

> 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
>              Labels: clustering
>
> If numFeatures or k are large, GMM EM should distribute the matrix inverse computation for Gaussian initialization.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org