Uploaded image for project: 'SystemDS'
  1. SystemDS
  2. SYSTEMDS-3184

Builtin for computing information gain using entropy and gini

    XMLWordPrintableJSON

Details

    • Task
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • None
    • SystemDS 3.0
    • None

    Description

      compute the measure of impurity for the features of a dataset. 

      The built-in accepts the inputs i.e., a dataset with labels, method = {entory, gini} and returns the row vector containing information gain for each column in the dataset. 

      Continuous value attributes could be handled via binning.

      Attachments

        Issue Links

          blocks

          Task - A task that needs to be done. SYSTEMDS-3149 Decision Tree cleanups and Builtin

          • Major - Major loss of function.
          • Closed
          links to

          Web Link GitHub Pull Request #1520

          Activity

            People

              Unassigned Unassigned
              ssiddiqi Shafaq Siddiqi
              Votes:
              0 Vote for this issue
              Watchers:
              2 Start watching this issue

              Dates

                Created:
                Updated:
                Resolved: