Sean Owen created SPARK-26638:
---------------------------------
Summary: Pyspark vector classes always return error for unary
negation
Key: SPARK-26638
URL: https://issues.apache.org/jira/browse/SPARK-26638
Project: Spark
Issue Type: Bug
Components: ML, PySpark
Affects Versions: 2.4.0, 2.3.2
Reporter: Sean Owen
Assignee: Sean Owen
It looks like the implementation of {{__neg__}} for Pyspark vector classes is
wrong:
{code}
def _delegate(op):
def func(self, other):
if isinstance(other, DenseVector):
other = other.array
return DenseVector(getattr(self.array, op)(other))
return func
__neg__ = _delegate("__neg__")
{code}
This delegation works for binary operators but not for unary, and indeed, it
doesn't work at all:
{code}
from pyspark.ml.linalg import DenseVector
v = DenseVector([1,2,3])
-v
...
TypeError: func() missing 1 required positional argument: 'other'
{code}
This was spotted by static analyis on lgtm.com:
https://lgtm.com/projects/g/apache/spark/alerts/?mode=tree&lang=python&ruleFocus=7850093
Easy to fix and add a test for, as I presume we want this to be implemented.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
