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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2019/06/19 13:23:01 UTC
[jira] [Resolved] (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 ]
Sean Owen resolved SPARK-14409.
-------------------------------
Resolution: Duplicate
> 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
> 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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