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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/01/30 02:09:35 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=14298012#comment-14298012 ]
Xiangrui Meng commented on SPARK-4036:
--------------------------------------
[~lewuathe] I've assigned this ticket to you. Before sending any PR, could you share some design doc first? This is a broad topic, we should discuss algorithm choices, complexity and scalability, and public APIs before digging into 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
>
> 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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