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https://issues.apache.org/jira/browse/SPARK-25321?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16610379#comment-16610379
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Weichen Xu commented on SPARK-25321:
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[~josephkb]
There're 2 changes which break compatibility we need review:
[SPARK-10413] ML models should support prediction on single instances: This PR
break source and binary compatibility, if there're subclasses defined by users
which override "protected predict" method. If we make `predict` public, then
all subclasses must public there "predict" methods. What do you think of it? Is
it a big issue ?
[SPARK-14681] Provide label/impurity stats for spark.ml decision tree nodes:
This will break binary compatibility, but it looks like keeping source
compatibility.
> ML, Graph 2.4 QA: API: New Scala APIs, docs
> -------------------------------------------
>
> Key: SPARK-25321
> URL: https://issues.apache.org/jira/browse/SPARK-25321
> Project: Spark
> Issue Type: Sub-task
> Components: Documentation, GraphX, ML, MLlib
> Affects Versions: 2.4.0
> Reporter: Weichen Xu
> Assignee: Yanbo Liang
> Priority: Blocker
>
> Audit new public Scala APIs added to MLlib & GraphX. Take note of:
> * Protected/public classes or methods. If access can be more private, then
> it should be.
> * Also look for non-sealed traits.
> * Documentation: Missing? Bad links or formatting?
> *Make sure to check the object doc!*
> As you find issues, please create JIRAs and link them to this issue.
> For *user guide issues* link the new JIRAs to the relevant user guide QA issue
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