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| author | Yuhao <yuhao.yang@intel.com> | 2017-01-23 12:18:06 -0800 |
|---|---|---|
| committer | Joseph K. Bradley <joseph@databricks.com> | 2017-01-23 12:18:06 -0800 |
| commit | 4a11d029dc6abeb98fef5725d3d446a3eb5deddf (patch) | |
| tree | f5a382c570f088b4f6c0a975280b0a6fa2599b50 /build/spark-build-info | |
| parent | 0ef1421a645be79857ef96a90464e0e669190dcf (diff) | |
| download | spark-4a11d029dc6abeb98fef5725d3d446a3eb5deddf.tar.gz spark-4a11d029dc6abeb98fef5725d3d446a3eb5deddf.tar.bz2 spark-4a11d029dc6abeb98fef5725d3d446a3eb5deddf.zip | |
[SPARK-14709][ML] 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
Author: Yuhao <yuhao.yang@intel.com>
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes #15211 from hhbyyh/mlsvm.
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