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