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](../demo/guide-python)

R
=====
* See [R-package](../R-package)

Julia
=====
* See [XGBoost.jl](https://github.com/antinucleon/XGBoost.jl)

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](../demo/guide-python)
* **NOTE**: if you want to run XGBoost 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_examples.py demo.


R
=====
* See [R-package](../R-package)

Julia
=====
* See [XGBoost.jl](https://github.com/antinucleon/XGBoost.jl)

Add warning about fork + openmp
DOC: Add warning about fork + openmp
