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Posted to issues@spark.apache.org by "Yanbo Liang (JIRA)" <ji...@apache.org> on 2016/08/15 13:47:20 UTC

[jira] [Resolved] (SPARK-17033) GaussianMixture should use treeAggregate to improve performance

     [ https://issues.apache.org/jira/browse/SPARK-17033?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yanbo Liang resolved SPARK-17033.
---------------------------------
       Resolution: Fixed
         Assignee: Yanbo Liang
    Fix Version/s: 2.1.0

> GaussianMixture should use treeAggregate to improve performance
> ---------------------------------------------------------------
>
>                 Key: SPARK-17033
>                 URL: https://issues.apache.org/jira/browse/SPARK-17033
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, MLlib
>            Reporter: Yanbo Liang
>            Assignee: Yanbo Liang
>            Priority: Minor
>             Fix For: 2.1.0
>
>
> {{GaussianMixture}} should use {{treeAggregate}} rather than {{aggregate}} to improve performance and scalability. In my test of dataset with 200 features and 1M instance, I found there is 20% increased performance.



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