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https://issues.apache.org/jira/browse/SPARK-20615?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen reassigned SPARK-20615:
---------------------------------

    Assignee: Jon McLean

> SparseVector.argmax throws IndexOutOfBoundsException when the sparse vector 
> has a size greater than zero but no elements defined.
> ---------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-20615
>                 URL: https://issues.apache.org/jira/browse/SPARK-20615
>             Project: Spark
>          Issue Type: Bug
>          Components: ML, MLlib
>    Affects Versions: 2.1.0
>            Reporter: Jon McLean
>            Assignee: Jon McLean
>            Priority: Minor
>             Fix For: 2.1.2, 2.2.1
>
>
> org.apache.spark.ml.linalg.SparseVector.argmax throws an 
> IndexOutOfRangeException when the vector size is greater than zero and no 
> values are defined.  The toString() representation of such a vector is " 
> (100000,[],[])".  This is because the argmax function tries to get the value 
> at indexes(0) without checking the size of the array.
> Code inspection reveals that the mllib version of SparseVector should have 
> the same issue.



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