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https://issues.apache.org/jira/browse/SPARK-14709?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15282564#comment-15282564
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yuhao yang commented on SPARK-14709:
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I put the SMO version at https://github.com/hhbyyh/SVMOnSpark.
The scalability is supposed to be very good as it avoids shuffle and
unnecessary communication. It also supports arbitrary kernels. Currently linear
and RBF are embedded.
> spark.ml API for linear SVM
> ---------------------------
>
> Key: SPARK-14709
> URL: https://issues.apache.org/jira/browse/SPARK-14709
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Reporter: Joseph K. Bradley
>
> Provide API for SVM algorithm for DataFrames. I would recommend using
> OWL-QN, rather than wrapping spark.mllib's SGD-based implementation.
> The API should mimic existing spark.ml.classification APIs.
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