XGBoost Python Package
- To make the python module, type
./build.shin the root directory of project - Make sure you have setuptools
- Install with
python setup.py installfrom this directory. - Refer also to the walk through example in demo folder
- NOTE: if you want to run XGBoost process in parallel using the fork backend for joblib/multiprocessing, you must build XGBoost without support for OpenMP by
make no_omp=1. Otherwise, use the forkserver (in Python 3.4) or spawn backend. See the sklearn_parallel.py demo.