[jira] [Resolved] (SPARK-14739) Vectors.parse doesn't handle dense vectors of size 0 and sparse vectors with no indices

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

     [ https://issues.apache.org/jira/browse/SPARK-14739?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-14739.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 1.6.2
                   2.0.0

Issue resolved by pull request 12516
[https://github.com/apache/spark/pull/12516]

> Vectors.parse doesn't handle dense vectors of size 0 and sparse vectors with no indices
> ---------------------------------------------------------------------------------------
>
>                 Key: SPARK-14739
>                 URL: https://issues.apache.org/jira/browse/SPARK-14739
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib, PySpark
>    Affects Versions: 1.6.0, 2.0.0
>            Reporter: Maciej Szymkiewicz
>             Fix For: 2.0.0, 1.6.2
>
>
> DenseVector:
> {code}
> Vectors.parse(str(Vectors.dense([])))
> ## ValueError                                Traceback (most recent call last)
> ## .. 
> ## ValueError: Unable to parse values from
> {code}
> SparseVector:
> {code}
> Vectors.parse(str(Vectors.sparse(5, [], [])))
> ## ValueError                                Traceback (most recent call last)
> ##  ... 
> ## ValueError: Unable to parse indices from .
> {code}



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