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From "Manoj Kumar (JIRA)" <j...@apache.org>
Subject [jira] [Issue Comment Deleted] (SPARK-5016) GaussianMixtureEM should distribute matrix inverse for large numFeatures, k
Date Sat, 14 Feb 2015 18:31:12 GMT

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

Manoj Kumar updated SPARK-5016:
-------------------------------
    Comment: was deleted

(was: Is there a possibility that memory is shared between all k reducers (I haven't tried
anything, just speculating here)?)

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



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