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https://issues.apache.org/jira/browse/SPARK-60330?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ruifeng Zheng resolved SPARK-60330.
-----------------------------------
    Fix Version/s: 4.4.0
       Resolution: Fixed

Issue resolved by pull request 59539
[https://github.com/apache/spark/pull/59539]

> Register classification tree nodes with Kryo
> --------------------------------------------
>
>                 Key: SPARK-60330
>                 URL: https://issues.apache.org/jira/browse/SPARK-60330
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, Spark Core
>    Affects Versions: 5.0.0, 4.4.0
>            Reporter: Luka Erceg
>            Assignee: Luka Erceg
>            Priority: Minor
>              Labels: pull-request-available
>             Fix For: 4.4.0
>
>
> Spark's built-in Kryo registrations omit the classes needed to serialize 
> classification tree node graphs. With spark.kryo.registrationRequired=true, 
> serializing an Array[org.apache.spark.ml.tree.Node] fails unless users 
> register these built-in classes manually. Without strict registration, Kryo 
> writes class-name metadata for the unregistered types.
> Register Node arrays, InternalNode, LeafNode, ContinuousSplit, 
> CategoricalSplit, GiniCalculator, and EntropyCalculator using the existing 
> optional-class loading mechanism, preserving the separation between Spark 
> Core and MLlib.
> The PR adds NodeKryoSuite to verify round-trip serialization with strict 
> registration enabled for Gini and entropy trees, checking predictions, leaf 
> indices, and class-count statistics across continuous and categorical splits.
> PR: https://github.com/apache/spark/pull/59539



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