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Posted to issues@spark.apache.org by "Nick Pentreath (JIRA)" <ji...@apache.org> on 2016/04/05 20:51:25 UTC

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

Nick Pentreath created SPARK-14409:
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             Summary: 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 and be used in cross-validators.



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