GitHub user HuJiayin opened a pull request:
https://github.com/apache/spark/pull/9794
[SPARK-4036]Add Conditional Random Fields (CRF) algorithm to Spark MLlib
Conditional random fields (CRFs) are a class of statistical modelling
method often applied in pattern recognition and machine learning, where they
are used for structured prediction. I referenced the CRF++ for this
implementation. https://issues.apache.org/jira/browse/SPARK-4036
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/HuJiayin/spark crf
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/9794.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 #9794
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commit d2db10cb5d01068761d8c927df2a69066c54faf4
Author: HuJiayin <jiayin...@intel.com>
Date: 2015-11-18T05:04:42Z
crf
commit 34b7cea4350bf14c22a5b43cc7a43be39b8dc281
Author: HuJiayin <jiayin...@intel.com>
Date: 2015-11-18T06:35:03Z
crf
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