backwardsreg

Name	backwardsreg JSON
Version	0.1 JSON
	download
home_page	https://github.com/knowusuboaky/backwardsreg
Summary	Backward Regression Python Library - Automated feature selection in linear and logistic regression models.
upload_time	2024-01-18 20:47:56
maintainer
docs_url	None
author	Kwadwo Daddy Nyame Owusu - Boakye
requires_python
license	MIT
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            Backward Regression Python Library

The Backward Regression Python Library is an open-source toolkit for automated feature selection in regression models. It supports both linear and logistic regression, dynamically selecting the appropriate method based on the target variable.

Key Features:
- Automated backward regression for linear and logistic regression models.
- Inclusion and exclusion of features based on user-defined significance thresholds.
- Optional inclusion of interaction terms for enhanced model complexity.

This library is suitable for data scientists, researchers, and practitioners working with regression problems who seek a streamlined approach to feature selection. The library intelligently adapts to the nature of the target variable, supporting both linear and logistic regression models.

For documentation and usage examples, visit the GitHub repository: https://github.com/knowusuboaky/backwardsreg

Author: Kwadwo Daddy Nyame Owusu - Boakye
Email: kwadwo.owusuboakye@outlook.com
License: MIT



            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/knowusuboaky/backwardsreg",
    "name": "backwardsreg",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "",
    "author": "Kwadwo Daddy Nyame Owusu - Boakye",
    "author_email": "kwadwo.owusuboakye@outlook.com",
    "download_url": "https://files.pythonhosted.org/packages/c6/f2/88f4aa8e5b0ed7765d68f0b3a1302942d19fb8f02301453ba513c6bd182e/backwardsreg-0.1.tar.gz",
    "platform": null,
    "description": "Backward Regression Python Library\n\nThe Backward Regression Python Library is an open-source toolkit for automated feature selection in regression models. It supports both linear and logistic regression, dynamically selecting the appropriate method based on the target variable.\n\nKey Features:\n- Automated backward regression for linear and logistic regression models.\n- Inclusion and exclusion of features based on user-defined significance thresholds.\n- Optional inclusion of interaction terms for enhanced model complexity.\n\nThis library is suitable for data scientists, researchers, and practitioners working with regression problems who seek a streamlined approach to feature selection. The library intelligently adapts to the nature of the target variable, supporting both linear and logistic regression models.\n\nFor documentation and usage examples, visit the GitHub repository: https://github.com/knowusuboaky/backwardsreg\n\nAuthor: Kwadwo Daddy Nyame Owusu - Boakye\nEmail: kwadwo.owusuboakye@outlook.com\nLicense: MIT\n\n\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Backward Regression Python Library - Automated feature selection in linear and logistic regression models.",
    "version": "0.1",
    "project_urls": {
        "Homepage": "https://github.com/knowusuboaky/backwardsreg"
    },
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "2efee59ae1e4912804d44ebc85820a66376dd8371100edd2915b609d5718db5e",
                "md5": "2339f3e77759aeda02d709396bc77957",
                "sha256": "55b79a159da0e39e3672e482a89f6a0830e2a56efdbb210fac84a3738f322c8a"
            },
            "downloads": -1,
            "filename": "backwardsreg-0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "2339f3e77759aeda02d709396bc77957",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 5418,
            "upload_time": "2024-01-18T20:47:55",
            "upload_time_iso_8601": "2024-01-18T20:47:55.507644Z",
            "url": "https://files.pythonhosted.org/packages/2e/fe/e59ae1e4912804d44ebc85820a66376dd8371100edd2915b609d5718db5e/backwardsreg-0.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "c6f288f4aa8e5b0ed7765d68f0b3a1302942d19fb8f02301453ba513c6bd182e",
                "md5": "c08d8da726b286c05c2c72f77a4d498a",
                "sha256": "5befe3f1986ede5201f519e70721729130509f18bbd6c98caae230f730ad70ca"
            },
            "downloads": -1,
            "filename": "backwardsreg-0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "c08d8da726b286c05c2c72f77a4d498a",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 3876,
            "upload_time": "2024-01-18T20:47:56",
            "upload_time_iso_8601": "2024-01-18T20:47:56.712461Z",
            "url": "https://files.pythonhosted.org/packages/c6/f2/88f4aa8e5b0ed7765d68f0b3a1302942d19fb8f02301453ba513c6bd182e/backwardsreg-0.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-01-18 20:47:56",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "knowusuboaky",
    "github_project": "backwardsreg",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "backwardsreg"
}