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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/04/20 01:58:25 UTC
[jira] [Commented] (SPARK-14739) Vectors.parse doesn't handle dense
vectors of size 0 and sparse vectros with no indices
[ https://issues.apache.org/jira/browse/SPARK-14739?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15248972#comment-15248972 ]
Apache Spark commented on SPARK-14739:
--------------------------------------
User 'arashpa' has created a pull request for this issue:
https://github.com/apache/spark/pull/12510
> 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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