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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/04/18 05:03:25 UTC

[jira] [Assigned] (SPARK-14409) Investigate adding a RankingEvaluator to ML

     [ https://issues.apache.org/jira/browse/SPARK-14409?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-14409:
------------------------------------

    Assignee: Apache Spark

> Investigate adding a RankingEvaluator to ML
> -------------------------------------------
>
>                 Key: SPARK-14409
>                 URL: https://issues.apache.org/jira/browse/SPARK-14409
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>            Reporter: Nick Pentreath
>            Assignee: Apache Spark
>            Priority: Minor
>
> {{mllib.evaluation}} contains a {{RankingMetrics}} class, while there is no {{RankingEvaluator}} in {{ml.evaluation}}. Such an evaluator can be useful for recommendation evaluation (and can be useful in other settings potentially).
> Should be thought about in conjunction with adding the "recommendAll" methods in SPARK-13857, so that top-k ranking metrics can be used in cross-validators.



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