Features:
- Boost random forests in a parallel way using OpenMP.
- Support different base learners in an automated manner, including trees, linear regressors, DPC_stairs, Kmeans2d and Splines.
- Directly use deltas, instead of gradients, to do the boosting.
Build:
- cmake CMakeLists.txt
- make -j4
APIs:
- Python & R
Remark:
- Details refer to the document.
- Set MKLROOT for the root of Intel MKL in the environment before building.