ffnet

Name	ffnet JSON
Version	0.8.6 JSON
	download
home_page	http://ffnet.sourceforge.net
Summary	Feed-forward neural network solution for python
upload_time	2024-03-23 10:13:28
maintainer	None
docs_url	https://pythonhosted.org/ffnet/
author	Marek Wojciechowski
requires_python	None
license	LGPL-3
keywords	neural networks
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            
=============================================
ffnet: feed-forward neural network for python
=============================================

Basic usage of the package:

>>> from ffnet import ffnet, mlgraph, savenet, loadnet, exportnet
>>> conec = mlgraph( (2,2,1) )
>>> net = ffnet(conec)
>>> input = [ [0.,0.], [0.,1.], [1.,0.], [1.,1.] ]
>>> target  = [ [1.], [0.], [0.], [1.] ]
>>> net.train_tnc(input, target, maxfun = 1000)
>>> net.test(input, target, iprint = 2)
>>> savenet(net, "xor.net")
>>> exportnet(net, "xor.f")
>>> net = loadnet("xor.net")
>>> answer = net( [ 0., 0. ] )
>>> partial_derivatives = net.derivative( [ 0., 0. ] )

For instalation instructions and documentation go to `http://ffnet.sourceforge.net <http://ffnet.sourceforge.net>`_.

            

Raw data

            {
    "_id": null,
    "home_page": "http://ffnet.sourceforge.net",
    "name": "ffnet",
    "maintainer": null,
    "docs_url": "https://pythonhosted.org/ffnet/",
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "neural networks",
    "author": "Marek Wojciechowski",
    "author_email": "mwojc@p.lodz.pl",
    "download_url": "https://files.pythonhosted.org/packages/7f/a5/6bd13ed62c4dfbc60c055ca747a72c68a1711ff6e5dfd7b685414b3e084c/ffnet-0.8.6.tar.gz",
    "platform": "Posix",
    "description": "\n=============================================\nffnet: feed-forward neural network for python\n=============================================\n\nBasic usage of the package:\n\n>>> from ffnet import ffnet, mlgraph, savenet, loadnet, exportnet\n>>> conec = mlgraph( (2,2,1) )\n>>> net = ffnet(conec)\n>>> input = [ [0.,0.], [0.,1.], [1.,0.], [1.,1.] ]\n>>> target  = [ [1.], [0.], [0.], [1.] ]\n>>> net.train_tnc(input, target, maxfun = 1000)\n>>> net.test(input, target, iprint = 2)\n>>> savenet(net, \"xor.net\")\n>>> exportnet(net, \"xor.f\")\n>>> net = loadnet(\"xor.net\")\n>>> answer = net( [ 0., 0. ] )\n>>> partial_derivatives = net.derivative( [ 0., 0. ] )\n\nFor instalation instructions and documentation go to `http://ffnet.sourceforge.net <http://ffnet.sourceforge.net>`_.\n",
    "bugtrack_url": null,
    "license": "LGPL-3",
    "summary": "Feed-forward neural network solution for python",
    "version": "0.8.6",
    "project_urls": {
        "Homepage": "http://ffnet.sourceforge.net"
    },
    "split_keywords": [
        "neural",
        "networks"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "7fa56bd13ed62c4dfbc60c055ca747a72c68a1711ff6e5dfd7b685414b3e084c",
                "md5": "f1baf9037e910a613949c7cdc2739479",
                "sha256": "38cc3a8dd15fcc1d84f7f883f3b2f270e2a8a0cd00cbdfe8a56bfea0a9794074"
            },
            "downloads": -1,
            "filename": "ffnet-0.8.6.tar.gz",
            "has_sig": false,
            "md5_digest": "f1baf9037e910a613949c7cdc2739479",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 60085,
            "upload_time": "2024-03-23T10:13:28",
            "upload_time_iso_8601": "2024-03-23T10:13:28.443464Z",
            "url": "https://files.pythonhosted.org/packages/7f/a5/6bd13ed62c4dfbc60c055ca747a72c68a1711ff6e5dfd7b685414b3e084c/ffnet-0.8.6.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-03-23 10:13:28",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "ffnet"
}