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https://issues.apache.org/jira/browse/SPARK-21483?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16094283#comment-16094283
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Sean Owen commented on SPARK-21483:
-----------------------------------
(Not major, and I don't think I'd open multiple JIRAs)
A Vector is not conceptually a bean. Again, why must it be a bean? it can be
encoded otherwise.
> Make org.apache.spark.ml.linalg.Vector bean-compliant so it can be used in
> Encoders.bean(Vector.class)
> ------------------------------------------------------------------------------------------------------
>
> Key: SPARK-21483
> URL: https://issues.apache.org/jira/browse/SPARK-21483
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 2.1.0
> Reporter: Aseem Bansal
> Priority: Minor
>
> The class org.apache.spark.ml.linalg.Vector is currently not bean-compliant
> as per spark.
> This makes it impossible to create a Vector via a dataset.tranform. It should
> be made bean-compliant so it can be used.
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