xgboost/wrapper

Wrapper of XGBoost

This folder provides wrapper of xgboost to other languages

Python

• 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.

R

• See R-package

Julia

• See XGBoost.jl