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Posted to issues@spark.apache.org by "Michel Lemay (JIRA)" <ji...@apache.org> on 2016/12/09 19:34:58 UTC

[jira] [Created] (SPARK-18808) ml.KMeansModel.transform is very inefficient

Michel Lemay created SPARK-18808:
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             Summary: ml.KMeansModel.transform is very inefficient
                 Key: SPARK-18808
                 URL: https://issues.apache.org/jira/browse/SPARK-18808
             Project: Spark
          Issue Type: Bug
          Components: ML
    Affects Versions: 2.0.2
            Reporter: Michel Lemay


The function ml.KMeansModel.transform will call the parentModel.predict(features) method on each row which in turns will normalize all clusterCenters from mllib.KMeansModel.clusterCentersWithNorm every time!

This is a serious waste of resources!  In my profiling, clusterCentersWithNorm represent 99% of the sampling!  

This should have been implemented with a broadcast variable as it is done in other functions like computeCost.





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