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https://issues.apache.org/jira/browse/SPARK-7372?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14529150#comment-14529150
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Joseph K. Bradley commented on SPARK-7372:
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How does this differ from [SPARK-7015]? If it's specialized somehow for SVMs,
that sounds good to discuss. If it's a wrapper only for SVMs which could be
applied to other methods, then I think we should stick with a more general
approach.
> Multiclass SVM - One vs All wrapper
> -----------------------------------
>
> Key: SPARK-7372
> URL: https://issues.apache.org/jira/browse/SPARK-7372
> Project: Spark
> Issue Type: Question
> Components: MLlib
> Reporter: Renat Bekbolatov
> Priority: Trivial
>
> I was wondering if we want to have a some support for multiclass SVM in
> MLlib, for example, through a simple wrapper over binary SVM classifiers with
> OVA.
> There is already WIP for ML pipeline generalization: SparkSPARK-7015,
> Multiclass to Binary Reduction
> However, if users prefer to just have basic OVA version that runs against
> SVMWithSGD, they might be able to use it.
> Here is a code sketch:
> https://github.com/Bekbolatov/spark/commit/463d73323d5f08669d5ae85dc9791b036637c966
> Maybe this could live in a 3rd party utility library (outside Spark MLlib).
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