[jira] [Updated] (SPARK-8587) Return cost and cluster index KMeansModel.predict

["Sam Stoelinga (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-8587?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sam Stoelinga updated SPARK-8587:
---------------------------------
    Description: 
Looking at PySpark the implementation of KMeansModel.predict https://github.com/apache/spark/blob/master/python/pyspark/mllib/clustering.py#L102: 

Currently:
it calculates the cost of the closest cluster and returns the index only.

My expectation:
Easy way to let the same function or a new function to return the cost with the index.

  was:
Looking at PySpark the implementation of KMeansModel.predict: 

Currently:
it calculates the cost of the closest cluster and returns the index only.

My expectation:
Easy way to let the same function or a new function to return the cost with the index.


> Return cost and cluster index KMeansModel.predict
> -------------------------------------------------
>
>                 Key: SPARK-8587
>                 URL: https://issues.apache.org/jira/browse/SPARK-8587
>             Project: Spark
>          Issue Type: Improvement
>            Reporter: Sam Stoelinga
>            Priority: Minor
>
> Looking at PySpark the implementation of KMeansModel.predict https://github.com/apache/spark/blob/master/python/pyspark/mllib/clustering.py#L102: 
> Currently:
> it calculates the cost of the closest cluster and returns the index only.
> My expectation:
> Easy way to let the same function or a new function to return the cost with the index.



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