[jira] [Resolved] (SPARK-20615) SparseVector.argmax throws IndexOutOfBoundsException when the sparse vector has a size greater than zero but no elements defined.

["Sean Owen (JIRA)" <ji...@apache.org>]

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

Sean Owen resolved SPARK-20615.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 2.1.2
                   2.2.1

Issue resolved by pull request 17877
[https://github.com/apache/spark/pull/17877]

> 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
>            Priority: Minor
>             Fix For: 2.2.1, 2.1.2
>
>
> 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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