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
----
commit b0558c1089052b3f853b41961b61384e9c6a6697
Author: Yuhao Yang <[email protected]>
Date: 2016-04-19T16:59:30Z
prototype
commit 7258189b0fdcf951432013abebf8a815ff799f87
Author: Yuhao Yang <[email protected]>
Date: 2016-09-22T05:04:55Z
Merge remote-tracking branch 'upstream/master' into mlsvm
commit 03e5893d14f299c003ad9b915db2e7358a0d0d6c
Author: Yuhao Yang <[email protected]>
Date: 2016-09-22T22:27:24Z
Merge remote-tracking branch 'upstream/master' into mlsvm
commit f8ddc3bd03ae81e9a4fe2462e83aa4288418cdb5
Author: Yuhao Yang <[email protected]>
Date: 2016-09-23T06:28:16Z
svm prototype
----
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
