This release is a pre-release and may not be stable for production use.
XGBoost Python Package
Installation
We are on PyPI now. For stable version, please install using pip:
pip install xgboost
Note for windows users: this pip installation may not work on some windows environment, and it may cause unexpected errors. pip installation on windows is currently disabled for further invesigation, please install from github.
For up-to-date version, please install from github.
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.
For windows users, please use the Visual Studio project file under windows folder. See also the installation tutorial from Kaggle Otto Forum.
Examples
Refer also to the walk through example in demo folder
See also the example scripts for Kaggle Higgs Challenge, including speedtest script on this dataset.
Note
If you want to build xgboost on Mac OS X with multiprocessing support where clang in XCode by default doesn’t support, please install gcc 4.9 or higher using homebrew brew tap homebrew/versions; brew install gcc49
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.
Release files for xgboost 0.4a30
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| xgboost-0.4a30.tar.gz | 753.6 kB | Without provenance | Details |
Release files / xgboost-0.4a30.tar.gz
| Download URL | xgboost-0.4a30.tar.gz |
|---|---|
| Size | 753.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Security for xgboost 0.4a30
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