xgboost/python-package
2015-07-30 22:08:48 -07:00
..
2015-07-30 22:08:48 -07:00

XGBoost Python Package

  • To make the python module, type ./build.sh in the root directory of project
  • Make sure you have setuptools
  • Install with python setup.py install from 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.