| Name | scikit-fuzzy JSON |
| Version |
0.5.0
JSON |
| download |
| home_page | None |
| Summary | Fuzzy logic toolkit for SciPy |
| upload_time | 2024-08-22 22:20:45 |
| maintainer | None |
| docs_url | https://pythonhosted.org/scikit-fuzzy/ |
| author | None |
| requires_python | None |
| license | None |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
|
scikit-fuzzy
============
`scikit-fuzzy` is a fuzzy logic toolkit for SciPy.
The goals of scikit-fuzzy are:
* To provide the community with a robust toolkit of independently developed and
implemented fuzzy logic algorithms
* To increase the attractiveness of scientific Python as a valid alternative to
closed-source options.
Please cite [](https://zenodo.org/badge/latestdoi/8872608)
if you find scikit-fuzzy useful. A formal paper describing this package is in
preparation.
Source
------
https://github.com/scikit-fuzzy/scikit-fuzzy
Documentation
-------------
The documentation of the library can be found here: https://scikit-fuzzy.github.io/scikit-fuzzy/
Online Discussion & Mailing List
--------------------------------
Please join the discussion in our public chat room on Gitter.im
[](https://gitter.im/scikit-fuzzy/scikit-fuzzy?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
or view/post on the Google Groups mailing list
http://groups.google.com/group/scikit-fuzzy
Installation
------------
Scikit-Fuzzy depends on
* Matplotlib >= 3.1
* NumPy >= 1.6
* SciPy >= 0.9
* NetworkX >= 1.9
and is available on PyPi! The latest stable release can always be obtained
and installed simply by running
$ pip install -U scikit-fuzzy
which will also work to upgrade existing installations to the latest release.
If you prefer to install from source or develop this package, you can fork and
clone this repository then install SciKit-Fuzzy by running
$ pip install -e .
or develop locally by running
$ pip install -e ".[develop]"
If you prefer, you can use SciKit-Fuzzy without installing by simply exporting
this path to your PYTHONPATH variable.
License
-------
Please read LICENSE.txt in this directory.
IEEE Rounding for Matlab users
------------------------------
It should be noted that Matlab rounds incorrectly. The IEEE standard (which is
how this package behaves) requires rounding to the nearest EVEN number if
exactly between, e.g. 1.5 --> 2; 2.5 --> 2; 3.5 --> 4; 4.5 --> 4, etc. This
minimizes systematic rounding error. Thus, if re-implementing algorithms from
Matlab code, slight inconsistencies in rounded results are expected. These are
not bugs, and will not be fixed.
Raw data
{
"_id": null,
"home_page": null,
"name": "scikit-fuzzy",
"maintainer": null,
"docs_url": "https://pythonhosted.org/scikit-fuzzy/",
"requires_python": null,
"maintainer_email": null,
"keywords": null,
"author": null,
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/98/1c/eeffa327ecf44e11fdd312b2b8cf5a7ac7f6cd2956646980893dc4aa56d8/scikit_fuzzy-0.5.0.tar.gz",
"platform": null,
"description": "scikit-fuzzy\n============\n\n`scikit-fuzzy` is a fuzzy logic toolkit for SciPy.\n\nThe goals of scikit-fuzzy are:\n* To provide the community with a robust toolkit of independently developed and\n implemented fuzzy logic algorithms\n* To increase the attractiveness of scientific Python as a valid alternative to\n closed-source options.\n\nPlease cite [](https://zenodo.org/badge/latestdoi/8872608)\nif you find scikit-fuzzy useful. A formal paper describing this package is in\npreparation.\n\nSource\n------\n\nhttps://github.com/scikit-fuzzy/scikit-fuzzy\n\nDocumentation\n-------------\n\nThe documentation of the library can be found here: https://scikit-fuzzy.github.io/scikit-fuzzy/\n\nOnline Discussion & Mailing List\n--------------------------------\n\nPlease join the discussion in our public chat room on Gitter.im\n[](https://gitter.im/scikit-fuzzy/scikit-fuzzy?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)\n\nor view/post on the Google Groups mailing list\nhttp://groups.google.com/group/scikit-fuzzy\n\nInstallation\n------------\n\nScikit-Fuzzy depends on\n \n * Matplotlib >= 3.1\n * NumPy >= 1.6\n * SciPy >= 0.9\n * NetworkX >= 1.9\n\nand is available on PyPi! The latest stable release can always be obtained\nand installed simply by running\n\n $ pip install -U scikit-fuzzy\n\nwhich will also work to upgrade existing installations to the latest release.\n\n\nIf you prefer to install from source or develop this package, you can fork and\nclone this repository then install SciKit-Fuzzy by running\n\n\t$ pip install -e .\n\nor develop locally by running\n\n\t$ pip install -e \".[develop]\"\n\nIf you prefer, you can use SciKit-Fuzzy without installing by simply exporting\nthis path to your PYTHONPATH variable.\n\nLicense\n-------\n\nPlease read LICENSE.txt in this directory.\n\nIEEE Rounding for Matlab users\n------------------------------\n\nIt should be noted that Matlab rounds incorrectly. The IEEE standard (which is\nhow this package behaves) requires rounding to the nearest EVEN number if\nexactly between, e.g. 1.5 --> 2; 2.5 --> 2; 3.5 --> 4; 4.5 --> 4, etc. This\nminimizes systematic rounding error. Thus, if re-implementing algorithms from\nMatlab code, slight inconsistencies in rounded results are expected. These are\nnot bugs, and will not be fixed.\n",
"bugtrack_url": null,
"license": null,
"summary": "Fuzzy logic toolkit for SciPy",
"version": "0.5.0",
"project_urls": {
"Download": "https://github.com/scikit-fuzzy/scikit-fuzzy",
"Homepage": "https://pypi.python.org/pypi/scikit-fuzzy"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "9d06da70811f95c4a3bada55e7b20c957548a4d9bc21150916f0c024286d67c7",
"md5": "fc4fb527be165d87ec8f30dadb368591",
"sha256": "e456c365146bc5c58d9f593f4127ac783112e2daf89f87b12c6ef3c38e4087dd"
},
"downloads": -1,
"filename": "scikit_fuzzy-0.5.0-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "fc4fb527be165d87ec8f30dadb368591",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 920817,
"upload_time": "2024-08-22T22:20:43",
"upload_time_iso_8601": "2024-08-22T22:20:43.447715Z",
"url": "https://files.pythonhosted.org/packages/9d/06/da70811f95c4a3bada55e7b20c957548a4d9bc21150916f0c024286d67c7/scikit_fuzzy-0.5.0-py2.py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "981ceeffa327ecf44e11fdd312b2b8cf5a7ac7f6cd2956646980893dc4aa56d8",
"md5": "5e2ae4edd4ad11ac09171650b3ba38c1",
"sha256": "2ee5340523aa7635ca568b9d8029c7738d05f9ea550fc89d4054b4cb50f34e7f"
},
"downloads": -1,
"filename": "scikit_fuzzy-0.5.0.tar.gz",
"has_sig": false,
"md5_digest": "5e2ae4edd4ad11ac09171650b3ba38c1",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 958406,
"upload_time": "2024-08-22T22:20:45",
"upload_time_iso_8601": "2024-08-22T22:20:45.697404Z",
"url": "https://files.pythonhosted.org/packages/98/1c/eeffa327ecf44e11fdd312b2b8cf5a7ac7f6cd2956646980893dc4aa56d8/scikit_fuzzy-0.5.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-08-22 22:20:45",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "scikit-fuzzy",
"github_project": "scikit-fuzzy",
"travis_ci": false,
"coveralls": true,
"github_actions": true,
"tox": true,
"lcname": "scikit-fuzzy"
}
