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https://issues.apache.org/jira/browse/SPARK-19475?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19475:
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Assignee: (was: Apache Spark)
> (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: 2.0.0, 2.1.0, 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])
> ---------------------------------------------------------------------------
> 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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