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Martin Wunderlich commented on SPARK-4036: ------------------------------------------ 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 -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org