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From "Patrick Pisciuneri (Jira)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-29334) Supported vector operators in scala should have parity with pySpark
Date Wed, 02 Oct 2019 17:01:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-29334?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Patrick Pisciuneri updated SPARK-29334:
---------------------------------------
    Description: 
pySpark supports various overloaded operators for the DenseVector type that the scala class
does not support. 

- ML: https://github.com/apache/spark/blob/master/python/pyspark/ml/linalg/__init__.py#L441-L462
- MLLIB: https://github.com/apache/spark/blob/master/python/pyspark/mllib/linalg/__init__.py#L485-L506

We should be able to leverage the BLAS wrappers to implement these methods on the scala side.


  was:
pySpark supports various overloaded operators for the DenseVector type that the scala class
does not support. 

# ML

https://github.com/apache/spark/blob/master/python/pyspark/ml/linalg/__init__.py#L441-L462

# MLLIB

https://github.com/apache/spark/blob/master/python/pyspark/mllib/linalg/__init__.py#L485-L506

We should be able to leverage the BLAS wrappers to implement these methods on the scala side.



> Supported vector operators in scala should have parity with pySpark 
> --------------------------------------------------------------------
>
>                 Key: SPARK-29334
>                 URL: https://issues.apache.org/jira/browse/SPARK-29334
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, MLlib
>    Affects Versions: 2.3.5, 2.4.5, 3.0.0
>            Reporter: Patrick Pisciuneri
>            Priority: Minor
>
> pySpark supports various overloaded operators for the DenseVector type that the scala
class does not support. 
> - ML: https://github.com/apache/spark/blob/master/python/pyspark/ml/linalg/__init__.py#L441-L462
> - MLLIB: https://github.com/apache/spark/blob/master/python/pyspark/mllib/linalg/__init__.py#L485-L506
> We should be able to leverage the BLAS wrappers to implement these methods on the scala
side.



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