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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/09/21 19:08:00 UTC
[jira] [Resolved] (SPARK-22009) Using treeAggregate improve some
algs
[ https://issues.apache.org/jira/browse/SPARK-22009?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-22009.
-------------------------------
Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 19232
[https://github.com/apache/spark/pull/19232]
> 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: zhengruifeng
> Priority: Minor
> Fix For: 2.3.0
>
>
> I test on a dataset of about 13M instances, and found that using `treeAggregate` give a speedup in following algs:
> OneHotEncoder ~ 5%
> StatFunctions.calculateCov ~ 7%
> StatFunctions.multipleApproxQuantiles ~ 9%
> RegressionEvaluator ~ 8%
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