Metadata-Version: 1.2
Name: fann2
Version: 1.1.2
Summary: Fast Artificial Neural Network Library (FANN) Python bindings.
Home-page: https://github.com/FutureLinkCorporation/fann2
Author: Steffen Nissen
Author-email: lukesky@diku.dk
Maintainer: Gil Megidish, Vincenzo Di Massa and FutureLinkCorporation
Maintainer-email: gil@megidish.net & hawk.it@tiscali,it and devel@futurelinkcorporation.com
License: GNU LESSER GENERAL PUBLIC LICENSE (LGPL)
Description: ======
        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.
        
Keywords: ANN,artificial,intelligence,FANN2.2.0,bindings
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: GNU Lesser General Public License v2 or later (LGPLv2+)
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
