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README.md

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
  • 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

Julia