[ 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. -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org