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  1. Spark
  2. SPARK-14409

Investigate adding a RankingEvaluator to ML

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    Details

    • Type: New Feature
    • Status: Resolved
    • Priority: Minor
    • Resolution: Duplicate
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: ML
    • Labels:
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      Description

      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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              • Assignee:
                Unassigned
                Reporter:
                mlnick Nick Pentreath
                Shepherd:
                Nick Pentreath
              • Votes:
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                • Created:
                  Updated:
                  Resolved: