aequitas-lite


Nameaequitas-lite JSON
Version 0.43.5 PyPI version JSON
download
home_pagehttps://github.com/dssg/aequitas
SummaryThe bias and fairness audit toolkit.
upload_time2023-03-24 15:40:04
maintainer
docs_urlNone
authorCenter for Data Science and Public Policy
requires_python
licensehttps://github.com/dssg/aequitas/blob/master/LICENSE
keywords fairness bias aequitas
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
Aequitas is an open-source bias audit toolkit for data scientists, machine learning researchers, and policymakers to audit machine learning models for discrimination and bias, and to make informed and equitable decisions around developing and deploying predictive tools.


            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/dssg/aequitas",
    "name": "aequitas-lite",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "fairness bias aequitas",
    "author": "Center for Data Science and Public Policy",
    "author_email": "datascifellows@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/02/e0/4c24acc2af41b32678b207496d5f408b6efbfe68fe4d3fdb0d6685c43ad6/aequitas-lite-0.43.5.tar.gz",
    "platform": null,
    "description": "\nAequitas is an open-source bias audit toolkit for data scientists, machine learning researchers, and policymakers to audit machine learning models for discrimination and bias, and to make informed and equitable decisions around developing and deploying predictive tools.\n\n",
    "bugtrack_url": null,
    "license": "https://github.com/dssg/aequitas/blob/master/LICENSE",
    "summary": "The bias and fairness audit toolkit.",
    "version": "0.43.5",
    "split_keywords": [
        "fairness",
        "bias",
        "aequitas"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "23d072763e83e6dbc6fc091b4d7f6135941c06883b30b5454939f7a6c4336d57",
                "md5": "63f3415261d184fb93b6f415ccb9eb0c",
                "sha256": "8a41565bbeff051534f4a7abae82eac9636761950c0eeb5408876e510011197c"
            },
            "downloads": -1,
            "filename": "aequitas_lite-0.43.5-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "63f3415261d184fb93b6f415ccb9eb0c",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 69102,
            "upload_time": "2023-03-24T15:40:02",
            "upload_time_iso_8601": "2023-03-24T15:40:02.308558Z",
            "url": "https://files.pythonhosted.org/packages/23/d0/72763e83e6dbc6fc091b4d7f6135941c06883b30b5454939f7a6c4336d57/aequitas_lite-0.43.5-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "02e04c24acc2af41b32678b207496d5f408b6efbfe68fe4d3fdb0d6685c43ad6",
                "md5": "0f9562f17262e15153371641aac49cc2",
                "sha256": "33a21c6c65b87bbe21d0faf4c3b4f71e2bb6cf9dc2b81a7bb8c9d8b31c2250b2"
            },
            "downloads": -1,
            "filename": "aequitas-lite-0.43.5.tar.gz",
            "has_sig": false,
            "md5_digest": "0f9562f17262e15153371641aac49cc2",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 62016,
            "upload_time": "2023-03-24T15:40:04",
            "upload_time_iso_8601": "2023-03-24T15:40:04.955515Z",
            "url": "https://files.pythonhosted.org/packages/02/e0/4c24acc2af41b32678b207496d5f408b6efbfe68fe4d3fdb0d6685c43ad6/aequitas-lite-0.43.5.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-03-24 15:40:04",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "dssg",
    "github_project": "aequitas",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "aequitas-lite"
}
        
Elapsed time: 0.04823s