Uploaded image for project: 'Spark'
  1. Spark
  2. SPARK-4036

Add Conditional Random Fields (CRF) algorithm to Spark MLlib

Attach filesAttach ScreenshotVotersWatch issueWatchersCreate sub-taskLinkCloneUpdate Comment AuthorReplace String in CommentUpdate Comment VisibilityDelete Comments
    XMLWordPrintableJSON

Details

    • New Feature
    • Status: Closed
    • Major
    • Resolution: Later
    • None
    • None
    • MLlib
    • None

    Description

      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

      Attachments

        1. CRF_design.1.pdf
          37 kB
          Kai
        2. dig-hair-eye-train.model
          6.86 MB
          Andrew Philpot
        3. features.hair-eye
          2 kB
          Andrew Philpot
        4. sample-input
          19 kB
          Andrew Philpot
        5. sample-output
          19 kB
          Andrew Philpot
        6. crf-spark.zip
          34 kB
          hujiayin

        Activity
          This comment will be Viewable by All Users Viewable by All Users
          Cancel

          People

            lewuathe Kai
            gq Guoqiang Li
            Votes:
            5 Vote for this issue
            Watchers:
            15 Start watching this issue

            Dates

              Created:
              Updated:
              Resolved:

              Slack

                Issue deployment