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Posted to issues@spark.apache.org by "Yanbo Liang (JIRA)" <ji...@apache.org> on 2017/09/12 10:04:02 UTC

[jira] [Resolved] (SPARK-14516) Clustering evaluator

     [ https://issues.apache.org/jira/browse/SPARK-14516?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yanbo Liang resolved SPARK-14516.
---------------------------------
          Resolution: Fixed
       Fix Version/s: 2.3.0
    Target Version/s: 2.3.0

> Clustering evaluator
> --------------------
>
>                 Key: SPARK-14516
>                 URL: https://issues.apache.org/jira/browse/SPARK-14516
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>    Affects Versions: 2.2.0
>            Reporter: zhengruifeng
>            Assignee: Marco Gaido
>             Fix For: 2.3.0
>
>
> MLlib does not have any general purposed clustering metrics with a ground truth.
> In [Scikit-Learn](http://scikit-learn.org/stable/modules/classes.html#clustering-metrics), there are several kinds of metrics for this.
> It may be meaningful to add some clustering metrics into MLlib.
> This should be added as a {{ClusteringEvaluator}} class of extending {{Evaluator}} in spark.ml.



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