[ https://issues.apache.org/jira/browse/SPARK-15041?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-15041. ---------------------------------- Resolution: Incomplete > adding mode strategy for ml.feature.Imputer for categorical features > -------------------------------------------------------------------- > > Key: SPARK-15041 > URL: https://issues.apache.org/jira/browse/SPARK-15041 > Project: Spark > Issue Type: New Feature > Components: ML > Reporter: yuhao yang > Priority: Minor > Labels: bulk-closed > > Adding mode strategy for ml.feature.Imputer for categorical features. This > need to wait until PR for SPARK-13568 gets merged. > https://github.com/apache/spark/pull/11601 > From comments of jkbradley and Nick Pentreath in the PR > {quote} > Investigate efficiency of approaches using DataFrame/Dataset and/or approx > approaches such as frequentItems or Count-Min Sketch (will require an update > to CMS to return "heavy-hitters"). > investigate if we can use metadata to only allow mode for categorical > features (or perhaps as an easier alternative, allow mode for only Int/Long > columns) > {quote} -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org