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  1. Spark
  2. SPARK-14516

Clustering evaluator

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    Details

    • Type: New Feature
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 2.2.0
    • Fix Version/s: 2.3.0
    • Component/s: ML
    • Labels:
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    • Target Version/s:

      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.

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              • Assignee:
                mgaido Marco Gaido
                Reporter:
                podongfeng zhengruifeng
                Shepherd:
                Yanbo Liang
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                • Created:
                  Updated:
                  Resolved: