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floriangeigl / packages

Package Name Access Summary Updated
pymvpa2 public No Summary 2023-06-16
pycairo public No Summary 2023-06-16
cairo public No Summary 2023-06-16
tqdm public A Simple Python Progress Meter 2023-06-16
cairomm public A C++ API for cairo built with gcc-5 and boost 1.60.0 2023-06-16
graph-tool public Efficient network analysis (multiprocessing/openmp enabled). Please add the following channels to your install command. -c floriangeigl -c vgauthier -c msarahan -c bioconda -c ostrokach -c salford_systems -c ptorrestr -c pkgw -c kalefranz 2023-06-16
xgboost public XGBoost Python Package ====================== |PyPI version| |PyPI downloads| Installation ------------ We are on `PyPI <https://pypi.python.org/pypi/xgboost>`__ 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 <https://pypi.python.org/pypi/setuptools>`__ - Install with ``python setup.py install`` from this directory. - For windows users, please use the Visual Studio project file under `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. Examples -------- - Refer also to the walk through example in `demo folder <../demo/guide-python>`__ - See also the `example scripts <../demo/kaggle-higgs>`__ for Kaggle Higgs Challenge, including `speedtest script <../demo/kaggle-higgs/speedtest.py>`__ 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 <http://brew.sh/>`__ ``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/guide-python/sklearn_parallel.py>`__ demo. .. |PyPI version| image:: https://badge.fury.io/py/xgboost.svg :target: http://badge.fury.io/py/xgboost .. |PyPI downloads| image:: https://img.shields.io/pypi/dm/xgboost.svg :target: https://pypi.python.org/pypi/xgboost/ 2023-06-16
boost-python public Boost Python Library from the Boost C++ Libraries collection 2023-06-16
cgal public The Computational Geometry Algorithms Library (boost 1.60.0) 2023-06-16
cmake public CMake is an extensible, open-source system that manages the build process 2023-06-16
icu public No Summary 2023-06-16
gcc-5 public The GNU Compiler Collection 2023-06-16
boost public No Summary 2023-06-16
seaborn public No Summary 2023-06-16
selenium public No Summary 2023-06-16
webkit_server public No Summary 2023-06-16
dryscrape public No Summary 2023-06-16
xvfbwrapper public No Summary 2023-06-16

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