Uploaded image for project: 'SystemML'
  1. SystemML
  2. SYSTEMML-1938

Regularized Greedy Forest (RGF) Implementation

    XMLWordPrintableJSON

    Details

    • Type: New Feature
    • Status: Open
    • Priority: Minor
    • Resolution: Unresolved
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: Algorithms
    • Labels:
      None

      Description

      RGF is a machine learning method for building decision forests. Based on
      1. Learning Nonlinear Functions UsingRegularized Greedy Forest - https://arxiv.org/pdf/1109.0887.pdf
      2. Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost - https://arxiv.org/ftp/arxiv/papers/1203/1203.3491.pdf
      3. A general boosting method and its application to learning ranking functions for web search - https://papers.nips.cc/paper/3305-a-general-boosting-method-and-its-application-to-learning-ranking-functions-for-web-search.pdf

      A C++ implementation is at https://github.com/baidu/fast_rgf

        Attachments

          Issue Links

            Activity

              People

              • Assignee:
                Unassigned
                Reporter:
                return_01 Janardhan
              • Votes:
                0 Vote for this issue
                Watchers:
                1 Start watching this issue

                Dates

                • Created:
                  Updated: