GitHub user hhbyyh opened a pull request:
https://github.com/apache/spark/pull/15211
[SPARK-14709][ML] [WIP] spark.ml API for linear SVM
## What changes were proposed in this pull request?
jira: https://issues.apache.org/jira/browse/SPARK-14709
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 spark.ml.classification 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 https://github.com/hhbyyh/spark mlsvm
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/15211.patch
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
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commit b0558c1089052b3f853b41961b61384e9c6a6697
Author: Yuhao Yang <hhb...@gmail.com>
Date: 2016-04-19T16:59:30Z
prototype
commit 7258189b0fdcf951432013abebf8a815ff799f87
Author: Yuhao Yang <hhb...@gmail.com>
Date: 2016-09-22T05:04:55Z
Merge remote-tracking branch 'upstream/master' into mlsvm
commit 03e5893d14f299c003ad9b915db2e7358a0d0d6c
Author: Yuhao Yang <hhb...@gmail.com>
Date: 2016-09-22T22:27:24Z
Merge remote-tracking branch 'upstream/master' into mlsvm
commit f8ddc3bd03ae81e9a4fe2462e83aa4288418cdb5
Author: Yuhao Yang <hhb...@gmail.com>
Date: 2016-09-23T06:28:16Z
svm prototype
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