Skip to main content

XGBoost Python Package

Project description

======================
XGBoost Python Package
======================

|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 <https://xgboost.readthedocs.io/en/latest/build.html>`_ 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/guide-python/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 <https://github.com/dmlc/xgboost/issues/1501#issuecomment-292209578>`_ for more info.

Please install ``gcc@5`` from `Homebrew <https://brew.sh/>`_::

brew install gcc@5

After installing ``gcc@5``, set it as your compiler::

export CC = gcc-5
export CXX = g++-5

Linux
-----

Please install ``gcc``::

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

Installation
============

>From `PyPI <https://pypi.python.org/pypi/xgboost>`_
---------------------------------------------------

For a stable version, install using ``pip``::

pip install xgboost

>From source
-----------

For an up-to-date version, `install from Github <https://xgboost.readthedocs.io/en/latest/build.html>`_:

- Run ``./build.sh`` in the root of the repo.
- Make sure you have `setuptools <https://pypi.python.org/pypi/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 <../windows/>`_. See also the `installation
tutorial <https://www.kaggle.com/c/otto-group-product-classification-challenge/forums/t/13043/run-xgboost-from-windows-and-python>`_ 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
========

- Refer also to the walk through example in `demo folder <https://github.com/dmlc/xgboost/tree/master/demo/guide-python>`_.
- See also the `example scripts <https://github.com/dmlc/xgboost/tree/master/demo/kaggle-higgs>`_ for Kaggle
Higgs Challenge, including `speedtest script <https://github.com/dmlc/xgboost/tree/master/demo/kaggle-higgs/speedtest.py>`_ on this dataset.

.. |PyPI version| image:: https://badge.fury.io/py/xgboost.svg
:target: http://badge.fury.io/py/xgboost


Project details


Release history Release notifications | RSS feed

This version

0.80

Download files

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

Source Distribution

xgboost-0.80.tar.gz (595.8 kB view details)

Uploaded Source

Built Distributions

xgboost-0.80-py2.py3-none-win_amd64.whl (7.1 MB view details)

Uploaded Python 2Python 3Windows x86-64

xgboost-0.80-py2.py3-none-manylinux1_x86_64.whl (15.8 MB view details)

Uploaded Python 2Python 3

File details

Details for the file xgboost-0.80.tar.gz.

File metadata

  • Download URL: xgboost-0.80.tar.gz
  • Upload date:
  • Size: 595.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.5

File hashes

Hashes for xgboost-0.80.tar.gz
Algorithm Hash digest
SHA256 ec990238943988e73734ad483cf6c53b81aec9745811c7b6c5cbb189ef5e328b
MD5 1992909aa53bc8f91d359aa252f29e5c
BLAKE2b-256 c61e6d13dacd1d5ea3273210162292e818f82629328ce51cdb7eb633f03e0b52

See more details on using hashes here.

File details

Details for the file xgboost-0.80-py2.py3-none-win_amd64.whl.

File metadata

  • Download URL: xgboost-0.80-py2.py3-none-win_amd64.whl
  • Upload date:
  • Size: 7.1 MB
  • Tags: Python 2, Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.5

File hashes

Hashes for xgboost-0.80-py2.py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 4583235618e8824d527c94e9c0aca8825287bd82f07eea6f2d173c1ead13032d
MD5 53c47058c5d7c83e465879c349151a60
BLAKE2b-256 03b80fcc6d3f28f45c5d1ef33fecca4b3bbcf8c4f53bebdc9b9146dad8fda64a

See more details on using hashes here.

File details

Details for the file xgboost-0.80-py2.py3-none-manylinux1_x86_64.whl.

File metadata

  • Download URL: xgboost-0.80-py2.py3-none-manylinux1_x86_64.whl
  • Upload date:
  • Size: 15.8 MB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.5

File hashes

Hashes for xgboost-0.80-py2.py3-none-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 3441f877442e260bce132acb0cc166886c038521d9ce4dea15ebca7518a22446
MD5 8dd4c89e5108bb1ba9fca6f5f94bebd9
BLAKE2b-256 8f15606f81a2b8a8e82eaa10683cb3f3074905ec65d3bcef949e3f0909f165a5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page