Uploaded image for project: 'Spark'
  1. Spark
  2. SPARK-16692

multilabel classification to DataFrame, ML

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: Resolved
    • Minor
    • Resolution: Fixed
    • None
    • 3.0.0
    • ML, MLlib
    • None

    Description

      For the multi labels evaluations. There is a method to in MLlib named MultilabelMetrics: A multilabel classification problem involves mapping each sample in a dataset to a set of class labels. In this type of classification problem, the labels are not mutually exclusive. For example, when classifying a set of news articles into topics, a single article might be both science and politics.

      Added this method to support DataFrame in ML.

      Attachments

        Activity

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

          People

            podongfeng Ruifeng Zheng Assign to me
            liwzhi Weizhi Li
            Votes:
            0 Vote for this issue
            Watchers:
            4 Start watching this issue

            Dates

              Created:
              Updated:
              Resolved:

              Time Tracking

              Estimated:
              Original Estimate - 1h
              1h
              Remaining:
              Remaining Estimate - 1h
              1h
              Logged:
              Time Spent - Not Specified
              Not Specified

              Slack

                Issue deployment