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https://issues.apache.org/jira/browse/SPARK-14739?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15248994#comment-15248994
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Maciej Szymkiewicz commented on SPARK-14739:
--------------------------------------------
This solves only small part of the problem. Right now both Sparse and Dense
vector parsing is broken, not to mention corresponding tests are dead code.
> Vectors.parse doesn't handle dense vectors of size 0 and sparse vectros 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
>
> 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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