You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Maciej Szymkiewicz (JIRA)" <ji...@apache.org> on 2016/04/20 01:08:25 UTC

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

Maciej Szymkiewicz created SPARK-14739:
------------------------------------------

             Summary: 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}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org