[jira] [Issue Comment Deleted] (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:all-tabpanel ]

hujiayin updated SPARK-4036:
----------------------------
    Comment: was deleted

(was: latest CRF codes)

> 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, crf-spark.zip, dig-hair-eye-train.model, features.hair-eye, sample-input, sample-output
>
>
> 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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