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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 -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org