Maciej Szymkiewicz created SPARK-19475:
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Summary: (ML|MLlib).linalg.DenseVector method delegation fails for
__neg__
Key: SPARK-19475
URL: https://issues.apache.org/jira/browse/SPARK-19475
Project: Spark
Issue Type: Bug
Components: ML, MLlib, PySpark
Affects Versions: 2.1.0, 2.0.0, 2.2.0
Reporter: Maciej Szymkiewicz
Priority: Minor
{{(ML|MLlib).linalg.DenseVector}} delegate number of methods to NumPy. By
design [it does the
same|https://github.com/apache/spark/blob/933a6548d423cf17448207a99299cf36fc1a95f6/python/pyspark/mllib/linalg/__init__.py#L487]
for {{__neg__}} but current {{_delegate}} method [expects binary
operators|https://github.com/apache/spark/blob/933a6548d423cf17448207a99299cf36fc1a95f6/python/pyspark/mllib/linalg/__init__.py#L481].
{code}
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/__ / .__/\_,_/_/ /_/\_\ version 2.1.0
/_/
Using Python version 3.5.2 (default, Jul 2 2016 17:53:06)
SparkSession available as 'spark'.
In [1]: from pyspark.ml import linalg
In [2]: -linalg.DenseVector([1, 2, 3])
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TypeError Traceback (most recent call last)
<ipython-input-2-737fe2c5dfd8> in <module>()
----> 1 -linalg.DenseVector([1, 2, 3])
TypeError: func() missing 1 required positional argument: 'other'
{code}
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