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Date: Tue, 12 Apr 2016 21:08:25 +0000 (UTC)
From: "Joseph K. Bradley (JIRA)" <jira@apache.org>
To: issues@spark.apache.org
Message-ID: <JIRA.12957517.1460272141000.210617.1460495305529@Atlassian.JIRA>
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 <JIRA.12957517.1460272141633@arcas>
Subject: [jira] [Updated] (SPARK-14516) Clustering evaluator
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     [ https://issues.apache.org/jira/browse/SPARK-14516?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley updated SPARK-14516:
--------------------------------------
    Description: 
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.

  was:
ML/MLLIB dont 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 ML/MLLIB.


> 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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