[jira] [Resolved] (SPARK-29121) Support Dot Product for Vectors

["Sean Owen (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-29121?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-29121.
-------------------------------
    Fix Version/s: 3.0.0
       Resolution: Fixed

Issue resolved by pull request 25818
[https://github.com/apache/spark/pull/25818]

> Support Dot Product for Vectors
> -------------------------------
>
>                 Key: SPARK-29121
>                 URL: https://issues.apache.org/jira/browse/SPARK-29121
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, MLlib
>    Affects Versions: 2.3.5, 2.4.5, 3.0.0
>            Reporter: Patrick Pisciuneri
>            Assignee: Patrick Pisciuneri
>            Priority: Major
>             Fix For: 3.0.0
>
>
> I believe *org.apache.spark.ml.linalg.Vectors* and *org.apache.spark.mllib.linalg.Vectors* should support the dot product.  The necessary BLAS routines are already there, just a simple wrapper is needed.
> I know there has been a lot of discussion about how much of a linear algebra package should spark attempt to be, but I have found that the dot product comes up quite a bit for feature engineering and scoring.  In the past we have created our own *org.apache.spark.ml.linalg* package to expose the private methods, but it's an annoying hack.
> See also:
> SPARK-6442
> SPARK-10989



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