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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 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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