[jira] [Comment Edited] (SPARK-21483) Make org.apache.spark.ml.linalg.Vector bean-compliant so it can be used in Encoders.bean(Vector.class)

["Aseem Bansal (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-21483?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16094314#comment-16094314 ] 

Aseem Bansal edited comment on SPARK-21483 at 7/20/17 9:11 AM:
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No it does not. Can you give a link to what you are referring to? And I am not using spark SQL. I am using Dataset's transformations only.


was (Author: anshbansal):
Now it does not. Can you give a link to what you are referring to? And I am not using spark SQL. I am using Dataset's transformations only.

> 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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