Metadata-Version: 1.1
Name: xgboost
Version: 0.80
Summary: XGBoost Python Package
Home-page: https://github.com/dmlc/xgboost
Author: Hyunsu Cho
Author-email: chohyu01@cs.washington.edu
License: Apache-2.0
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
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
