[jira] [Resolved] (SPARK-15041) adding mode strategy for ml.feature.Imputer for categorical features

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ 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}



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