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fann2-1.1.2

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مشاهده بیشتر
1.1.2
1.0.7
1.0.0

توضیحات

Fast Artificial Neural Network Library (FANN) Python bindings.
ویژگی مقدار
سیستم عامل -
نام فایل fann2-1.1.2
نام fann2
نسخه کتابخانه 1.1.2
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Gil Megidish, Vincenzo Di Massa and FutureLinkCorporation
ایمیل نویسنده gil@megidish.net & hawk.it@tiscali,it and devel@futurelinkcorporation.com
آدرس صفحه اصلی https://github.com/FutureLinkCorporation/fann2
آدرس اینترنتی https://pypi.org/project/fann2/
مجوز GNU LESSER GENERAL PUBLIC LICENSE (LGPL)
====== README ====== fann2 ===== Python bindings for Fast Artificial Neural Networks 2.2.0 (FANN >= 2.2.0). These are the original python bindings included with FANN 2.1.0 beta and updated to include support for python 2.6-3.6. DESCRIPTION =========== This is a python binding for Fast Artificial Neural Network Library (FANN >= 2.2.0) that implements multi-layer artificial neural networks with support for both fully-connected and sparsely-connected networks. It includes a framework for easily handling training data sets. It is easy to use, versatile, well- documented, and fast. FANN 2.2.0 source ----------------- - http://sourceforge.net/projects/fann/files/fann/2.2.0/FANN-2.2.0-Source.zip/download INSTALLATION ============ You can install fann2 from pkgsrc or from pypi, using either pip or easy_install: wheels ------ $ pip install ${wheel_file} pypi ---- $ pip install fann2 or $ easy_install fann2 pkgsrc ------ Source installation ................... Get and install pkgsrc. See `pkgsrc documentation <http://pkgsrc.org/#index4h1>`_. for platform-specific information. cd ${PKGSRCDIR}/devel/py-fann2 bmake install From binaries ............. Get and install pkgsrc. See `pkgsrc quickstart <http://pkgsrc.org/#index1h1>`_. for platform-specific information. pkgin -y install py-fann2 Windows considerations ---------------------- Source installation ................... - Install Visual C++ Build Tools; - Install `FANN source code <https://github.com/libfann/fann>`_, using cmake; - Copy "fanndouble.lib" from FANN installed files to ${python_libs_directory} as "doublefann.lib"; - Install swig for Windows (you will need to set an Enviroment Variable for "swig.exe"); - Run > python setup.py install from PowerShell/Command Prompt. USAGE ===== Just >> from fann2 import libfann and then create libfann.neural_net and libfann.training_data objects >> ann = libfann.neural_net() >> train_data = libfann.training_data() Look at the examples in the FANN documentation and its C++ bindings for further reference. LICENSE ======= As with the original python bindings, this package is distributed under the terms of the GNU Lesser General Public License, Version 2.1. See LICENSE for full terms and conditions. LINKS ===== `fann2 on pypi <https://pypi.python.org/pypi/fann2>`_. `py-fann2 in pkgsrc <http://pkgsrc.se/devel/py-fann2>`_. `FANN <http://leenissen.dk/fann/>`_. `pkgsrc <http://pkgsrc.org/>`_. CONTACT ======= Send us your patches and pull requests! We will release as often as these changes are received and integrated. There's no reason to have countless branches of this package. Consider this the official one and that it's being maintained! The pkgsrc package is maintained by us as well. We are active users of FANN and fann2. If you don't have or want a github account, send your patches for this package or the pkgsrc version to pkgsrc@futurelinkcorporation.com.


نحوه نصب


نصب پکیج whl fann2-1.1.2:

    pip install fann2-1.1.2.whl


نصب پکیج tar.gz fann2-1.1.2:

    pip install fann2-1.1.2.tar.gz