[jira] [Comment Edited] (SPARK-4036) Add Conditional Random Fields (CRF) algorithm to Spark MLlib

["hujiayin (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-4036?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15044223#comment-15044223 ] 

hujiayin edited comment on SPARK-4036 at 12/7/15 1:00 AM:
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Hi Andrew,

The code is implemented by Scala and integrated with Spark. I tested it after I implemented it. I also verified it with some papers listed inside the code and this jira. Could you send me your features and models that I can have further testing? 




was (Author: hujiayin):
Hi Andrew,

The code is implemented by Scala and integrated with Spark. I tested it after I implemented it. I also verify it with some papers listed inside the code and this jira. Could you send me your features and models that I can have further testing?



> 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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