Uploaded image for project: 'Spark'
  1. Spark
  2. SPARK-6340

mllib.IDF for LabelPoints

Log workAgile BoardRank to TopRank to BottomAttach filesAttach ScreenshotBulk Copy AttachmentsBulk Move AttachmentsVotersWatch issueWatchersCreate sub-taskConvert to sub-taskMoveLinkCloneLabelsUpdate Comment AuthorReplace String in CommentUpdate Comment VisibilityDelete CommentsDelete
    XMLWordPrintableJSON

Details

    • Improvement
    • Status: Closed
    • Minor
    • Resolution: Not A Problem
    • 1.3.0
    • None
    • MLlib

    • python 2.7.8
      pyspark
      OS: Linux Mint 17 Qiana (Cinnamon 64-bit)

    Description

      as per: http://apache-spark-user-list.1001560.n3.nabble.com/Using-TF-IDF-from-MLlib-td19429.html#a19528

      Having the IDF.fit accept LabelPoints would be useful since, correct me if i'm wrong, there currently isn't a way of keeping track of which labels belong to which documents if one needs to apply a conventional tf-idf transformation on labelled text data.

      Attachments

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

          People

            Unassigned Unassigned Assign to me
            kian.ho Kian Ho
            Votes:
            0 Vote for this issue
            Watchers:
            2 Start watching this issue

            Dates

              Created:
              Updated:
              Resolved:

              Slack

                Issue deployment