Regularized Greedy Forest (RGF) in C++

Regularized greedy forest (RGF) [1] is a tree ensemble learning method. With the code provided here, you can do the following:

Getting started

  1. Download the RGF code archive below and extract the contents.
  2. Prepare the executable following the instructions in README included in the code archive.
  3. Play with sample data by going through the examples in the user guide [2].



[1] Rie Johnson and Tong Zhang. Learning nonlinear functions using regularized greedy forest, IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(5):942-954, May 2014.
[2] Regularized Greedy Forest in C++ Version 1.2: User Guide (included in the code archive)


 This software is written by Rie Johnson. Since Rie wants to enjoy a carefree life, the distribution of the software is handled by Tong Zhang. Please contact Tong Zhang for any questions about the package.