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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-22009) Using treeAggregate improve some algs
Date Thu, 14 Sep 2017 09:36:02 GMT

     [ https://issues.apache.org/jira/browse/SPARK-22009?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-22009:
------------------------------------

    Assignee: Apache Spark

> Using treeAggregate improve some algs
> -------------------------------------
>
>                 Key: SPARK-22009
>                 URL: https://issues.apache.org/jira/browse/SPARK-22009
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.3.0
>            Reporter: zhengruifeng
>            Assignee: Apache Spark
>            Priority: Minor
>
> I test on a dataset of about 13M instances, and found that using `treeAggregate` give
a speedup in following algs:
> OneHotEncoder ~ 5%
> StatFunctions.calculateCov ~ 13%
> StatFunctions.multipleApproxQuantiles ~ 9% 
> RegressionEvaluator ~ 8% 



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