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

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 1.6.0, 2.0.0
• Fix Version/s: 1.6.2, 2.0.0
• Component/s: MLlib, PySpark
• External issue URL: http://stackoverflow.com/q/36730727
• Assignee: Arash Parsa
• Reporter: Maciej Szymkiewicz
• Created: 19/Apr/16 23:08
• Updated: 21/Apr/16 10:31
• Resolved: 21/Apr/16 10:30

Description

DenseVector:

Vectors.parse(str(Vectors.dense([])))
## ValueError                                Traceback (most recent call last)
## .. 
## ValueError: Unable to parse values from

SparseVector:

Vectors.parse(str(Vectors.sparse(5, [], [])))
## ValueError                                Traceback (most recent call last)
##  ... 
## ValueError: Unable to parse indices from .

Issue Links

• is related to: SPARK-13944 Separate out local linear algebra as a standalone module without Spark dependency
• links to: [Github] Pull Request #12511 (zero323)
• links to: [Github] Pull Request #12513 (vishnu667)
• links to: [Github] Pull Request #12516 (arashpa)