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https://issues.apache.org/jira/browse/SPARK-29121?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen reassigned SPARK-29121:
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Assignee: Patrick Pisciuneri
> 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
>
> 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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