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Posted to issues@spark.apache.org by "Andrew Philpot (JIRA)" <ji...@apache.org> on 2015/12/05 01:15:11 UTC
[jira] [Commented] (SPARK-4036) Add Conditional Random Fields (CRF)
algorithm to Spark MLlib
[ https://issues.apache.org/jira/browse/SPARK-4036?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15042462#comment-15042462 ]
Andrew Philpot commented on SPARK-4036:
---------------------------------------
Hi, what is the maturity of this code? Are you interested in a tester? I have existing models and features for CRF++. Would love to simply migrate them to a native spark implementation.
> 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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