======
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.
Raw data
{
"_id": null,
"home_page": "https://github.com/FutureLinkCorporation/fann2",
"name": "fann2",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "ANN,artificial,intelligence,FANN2.2.0,bindings",
"author": "Gil Megidish, Vincenzo Di Massa and FutureLinkCorporation",
"author_email": "gil@megidish.net & hawk.it@tiscali,it and devel@futurelinkcorporation.com",
"download_url": "https://files.pythonhosted.org/packages/80/a1/fed455d25c34a62d4625254880f052502a49461a5dd1b80854387ae2b25f/fann2-1.1.2.tar.gz",
"platform": "",
"description": "======\nREADME\n======\n\n\nfann2\n=====\n\nPython bindings for Fast Artificial Neural Networks 2.2.0 (FANN >= 2.2.0). These\nare the original python bindings included with FANN 2.1.0 beta and updated to\ninclude support for python 2.6-3.6.\n\n\nDESCRIPTION\n===========\n\nThis is a python binding for Fast Artificial Neural Network Library (FANN >=\n2.2.0) that implements multi-layer artificial neural networks with support for\nboth fully-connected and sparsely-connected networks. It includes a framework\nfor easily handling training data sets. It is easy to use, versatile, well-\ndocumented, and fast.\n\nFANN 2.2.0 source\n-----------------\n\n- http://sourceforge.net/projects/fann/files/fann/2.2.0/FANN-2.2.0-Source.zip/download\n\n\nINSTALLATION\n============\n\nYou can install fann2 from pkgsrc or from pypi, using either pip or\neasy_install:\n\nwheels\n------\n\n $ pip install ${wheel_file}\n\n\npypi\n----\n\n\n $ pip install fann2\n \n\nor\n\n\n $ easy_install fann2\n\npkgsrc\n------\n\n\nSource installation\n...................\n\nGet and install pkgsrc. See `pkgsrc documentation\n<http://pkgsrc.org/#index4h1>`_. for platform-specific information.\n\ncd ${PKGSRCDIR}/devel/py-fann2\n\nbmake install\n\n\nFrom binaries\n.............\n\nGet and install pkgsrc. See `pkgsrc quickstart\n<http://pkgsrc.org/#index1h1>`_. for platform-specific information.\n\npkgin -y install py-fann2\n\nWindows considerations\n----------------------\n\nSource installation\n...................\n\n- Install Visual C++ Build Tools;\n- Install `FANN source code <https://github.com/libfann/fann>`_, using cmake;\n- Copy \"fanndouble.lib\" from FANN installed files to ${python_libs_directory} as \"doublefann.lib\";\n- Install swig for Windows (you will need to set an Enviroment Variable for \"swig.exe\");\n- Run > python setup.py install from PowerShell/Command Prompt.\n\nUSAGE\n=====\nJust \n\n\n >> from fann2 import libfann \n\n\nand then create libfann.neural_net and libfann.training_data objects\n\n\n >> ann = libfann.neural_net()\n \n >> train_data = libfann.training_data()\n\n\nLook at the examples in the FANN documentation and its C++ bindings for further\nreference.\n\n\nLICENSE\n=======\n\nAs with the original python bindings, this package is distributed under the\nterms of the GNU Lesser General Public License, Version 2.1. See LICENSE for\nfull terms and conditions.\n\n\nLINKS\n=====\n\n`fann2 on pypi\n<https://pypi.python.org/pypi/fann2>`_.\n\n`py-fann2 in pkgsrc\n<http://pkgsrc.se/devel/py-fann2>`_.\n\n`FANN\n<http://leenissen.dk/fann/>`_.\n\n`pkgsrc\n<http://pkgsrc.org/>`_.\n\n\nCONTACT\n=======\n\nSend us your patches and pull requests! We will release as often as these\nchanges are received and integrated. There's no reason to have countless\nbranches of this package. Consider this the official one and that it's being\nmaintained!\n\nThe pkgsrc package is maintained by us as well. We are active users of FANN and\nfann2. If you don't have or want a github account, send your patches for this\npackage or the pkgsrc version to pkgsrc@futurelinkcorporation.com.",
"bugtrack_url": null,
"license": "GNU LESSER GENERAL PUBLIC LICENSE (LGPL)",
"summary": "Fast Artificial Neural Network Library (FANN) Python bindings.",
"version": "1.1.2",
"project_urls": {
"Homepage": "https://github.com/FutureLinkCorporation/fann2"
},
"split_keywords": [
"ann",
"artificial",
"intelligence",
"fann2.2.0",
"bindings"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "80a1fed455d25c34a62d4625254880f052502a49461a5dd1b80854387ae2b25f",
"md5": "0b85b418018746d63ed66b55465697a9",
"sha256": "cdca0a65ad48e08320672affe38c3dd4ea15e27821e5e1db9fa2b34299bdd41e"
},
"downloads": -1,
"filename": "fann2-1.1.2.tar.gz",
"has_sig": false,
"md5_digest": "0b85b418018746d63ed66b55465697a9",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 66430,
"upload_time": "2017-12-08T19:49:33",
"upload_time_iso_8601": "2017-12-08T19:49:33.645033Z",
"url": "https://files.pythonhosted.org/packages/80/a1/fed455d25c34a62d4625254880f052502a49461a5dd1b80854387ae2b25f/fann2-1.1.2.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2017-12-08 19:49:33",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "FutureLinkCorporation",
"github_project": "fann2",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "fann2"
}
JSON
