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https://issues.apache.org/jira/browse/SPARK-4036?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15010353#comment-15010353
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hujiayin edited comment on SPARK-4036 at 12/7/15 8:10 AM:
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Hi Sasaki,
I'm not sure if you worked on it as the jira is still open. If you have a PR,
you could close my PR https://github.com/apache/spark/pull/9794
I referenced the other document besides Sasaki's design for the implementation.
http://repository.upenn.edu/cgi/viewcontent.cgi?article=1162&context=cis_papers
http://www.cs.utah.edu/~piyush/teaching/structured_prediction.pdf
was (Author: hujiayin):
Hi Sasaki,
I'm not sure if you worked on it as the jira is still open. If you have a PR,
you could close my PR https://github.com/apache/spark/pull/9794
I referenced the other document besides Sasaki's design for the implementation.
http://www.cs.utah.edu/~piyush/teaching/structured_prediction.pdf
> Add Conditional Random Fields (CRF) algorithm to Spark MLlib
> ------------------------------------------------------------
>
> Key: SPARK-4036
> URL: https://issues.apache.org/jira/browse/SPARK-4036
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Guoqiang Li
> Assignee: Kai Sasaki
> Attachments: CRF_design.1.pdf
>
>
> 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.
> The paper:
> http://www.seas.upenn.edu/~strctlrn/bib/PDF/crf.pdf
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