Awesome

Introduction

An implementation of the Parallel Gradient Boosted Regression Trees algorithm [1] for a course project. Parallelization is based on MPI.

Building

Dependencies:

• g++ (a version supporting c++11)
• cmake
• glogs
• gflags
• gtest
• boost (mpi, serialization)

To build, execute the following:

mkdir build
cd build
cmake ../
make

Current status

Not usable yet (duh...). More to come.

References

[1] Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal, and Jennifer Paykin. Parallel Boosted Regression Trees for Web Search Ranking. Proceedings of the 20th international conference on World Wide Web (WWW), pages 387-396, ACM, 2011.