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https://issues.apache.org/jira/browse/SPARK-3981?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15579868#comment-15579868
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holdenk commented on SPARK-3981:
That's a good question. It seems like much of the code that was copied in
SPARK-3971 is still around, but given our slow migration from MLlib to ML I'm
thinking that we should maybe consider marking this as a "Won't Fix". What are
your thoughts [~mengxr]?
> Consider a better approach to initialize SerDe on executors
> ---
>
> Key: SPARK-3981
> URL: https://issues.apache.org/jira/browse/SPARK-3981
> Project: Spark
> Issue Type: Improvement
> Components: MLlib, PySpark
>Affects Versions: 1.2.0
>Reporter: Xiangrui Meng
>
> In SPARK-3971, we copied SerDe code from Core to MLlib in order to recognize
> MLlib types on executors as a hotfix. This is not ideal. We should find a way
> to add hooks to the SerDe in Core to support MLlib types in a pluggable way.
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