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From "Patrick Pisciuneri (Jira)" <j...@apache.org>
Subject [jira] [Created] (SPARK-29334) Supported vector operators in scala should have parity with pySpark
Date Wed, 02 Oct 2019 16:58:00 GMT
Patrick Pisciuneri created SPARK-29334:
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             Summary: 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


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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