Skip to main content

XGBoost Python Package

Project description

PyPI version

Notes

  • Windows users: pip installation may not work on some Windows environments, and it may cause unexpected errors.

    Installation from pip on Windows is therefore currently disabled for further investigation; please install from Github instead.

  • 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.

Requirements

Since this package contains C++ source code, pip needs a C++ compiler from the system to compile the source code on-the-fly.

macOS

On macOS, gcc@5 is required as later versions remove support for OpenMP. See here for more info.

Please install gcc@5 from Homebrew:

brew install gcc@5

Linux

Please install gcc:

sudo apt-get install build-essential      # Ubuntu/Debian
sudo yum groupinstall 'Development Tools' # CentOS/RHEL

Installation

From PyPI

For a stable version, install using pip:

pip install xgboost

From source

For an up-to-date version, install from Github:

  • Run ./build.sh in the root of the repo.

  • Make sure you have setuptools installed: pip install setuptools

  • Install with cd python-package; python setup.py install from the root of the repo

  • For Windows users, please use the Visual Studio project file under the Windows folder. See also the installation tutorial from Kaggle Otto Forum.

  • Add MinGW to the system PATH in Windows if you are using the latest version of xgboost which requires compilation:

    python
    import os
    os.environ['PATH'] = os.environ['PATH'] + ';C:\\Program Files\\mingw-w64\\x86_64-5.3.0-posix-seh-rt_v4-rev0\\mingw64\\bin'
    

Examples

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
xgboost-0.7.post3.tar.gz (450.7 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page