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

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-14516?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15237976#comment-15237976 ] 

Joseph K. Bradley commented on SPARK-14516:
-------------------------------------------

[~podongfeng] [~akamal] could you please coordinate?  Before implementing this, please post a design in a comment or linked doc to clarify the API.  It will be important to follow existing Evaluator classes to allow plugging it into CrossValidator.  Thanks!

> Clustering evaluator
> --------------------
>
>                 Key: SPARK-14516
>                 URL: https://issues.apache.org/jira/browse/SPARK-14516
>             Project: Spark
>          Issue Type: Brainstorming
>          Components: ML
>            Reporter: zhengruifeng
>            Priority: Minor
>
> 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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