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https://issues.apache.org/jira/browse/SPARK-4036?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17419064#comment-17419064
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Martin Wunderlich commented on SPARK-4036:
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Hello, This issue was closed 5 years ago. Has there been any additional work
since to integrate CRF into Spark?
> 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
> Priority: Major
> 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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