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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 05:35:30 UTC

[jira] [Updated] (SPARK-3703) Ensemble learning methods

     [ https://issues.apache.org/jira/browse/SPARK-3703?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-3703:
--------------------------------
    Labels: bulk-closed  (was: )

> Ensemble learning methods
> -------------------------
>
>                 Key: SPARK-3703
>                 URL: https://issues.apache.org/jira/browse/SPARK-3703
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>            Reporter: Joseph K. Bradley
>            Priority: Major
>              Labels: bulk-closed
>
> This is a general JIRA for coordinating on adding ensemble learning methods to MLlib.  These methods include a variety of boosting and bagging algorithms.  Below is a general design doc for ensemble methods (currently focused on boosting).  Please comment here about general discussion and coordination; for comments about specific algorithms, please comment on their respective JIRAs.
> [Design doc for ensemble methods | https://docs.google.com/document/d/1J0Q6OP2Ggx0SOtlPgRUkwLASrAkUJw6m6EK12jRDSNg/]



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