GitHub user hhbyyh opened a pull request:

    [SPARK-14709][ML] [WIP] API for linear SVM

    ## What changes were proposed in this pull request?
    Provide API for SVM algorithm for DataFrames. As discussed in jira, the 
initial implementation uses OWL-QN with Hinge loss function.
    The API should mimic existing APIs.
    Currently only Binary Classification is supported. Multinomial support can 
be added in this or following release.
    ## How was this patch tested?
    new unit tests and simple manual test

You can merge this pull request into a Git repository by running:

    $ git pull mlsvm

Alternatively you can review and apply these changes as the patch at:

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #15211
commit b0558c1089052b3f853b41961b61384e9c6a6697
Author: Yuhao Yang <>
Date:   2016-04-19T16:59:30Z


commit 7258189b0fdcf951432013abebf8a815ff799f87
Author: Yuhao Yang <>
Date:   2016-09-22T05:04:55Z

    Merge remote-tracking branch 'upstream/master' into mlsvm

commit 03e5893d14f299c003ad9b915db2e7358a0d0d6c
Author: Yuhao Yang <>
Date:   2016-09-22T22:27:24Z

    Merge remote-tracking branch 'upstream/master' into mlsvm

commit f8ddc3bd03ae81e9a4fe2462e83aa4288418cdb5
Author: Yuhao Yang <>
Date:   2016-09-23T06:28:16Z

    svm prototype


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