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From "Nick Pentreath (JIRA)" <>
Subject [jira] [Commented] (SPARK-14409) Investigate adding a RankingEvaluator to ML
Date Fri, 24 Feb 2017 07:57:44 GMT


Nick Pentreath commented on SPARK-14409:

The other option is to work with [~danilo.ascione] PR here:
if Yong does not have time to update.

> Investigate adding a RankingEvaluator to ML
> -------------------------------------------
>                 Key: SPARK-14409
>                 URL:
>             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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