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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/07/05 07:53:00 UTC
[jira] [Assigned] (SPARK-14516) Clustering evaluator
[ https://issues.apache.org/jira/browse/SPARK-14516?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-14516:
------------------------------------
Assignee: (was: Apache Spark)
> 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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