[ 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% -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org