qdscreen

Name	qdscreen JSON
Version	0.6.4 JSON
	download
home_page	https://github.com/python-qds/qdscreen
Summary	Quasi-determinism screening for fast Bayesian Network Structure Learning (from T.Rahier's PhD thesis, 2018)
upload_time	2023-03-17 16:44:56
maintainer
docs_url	None
author	Sylvain MARIE <sylvain.marie@se.com>, Thibaud RAHIER <t.rahier@criteo.com>
requires_python
license	BSD 3-Clause
keywords	functional dependency correlation categorical feature selection bayesian network structure learning bnsl determinism quasi screening qds qds-bnsl
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # qdscreen

*Remove redundancy in your categorical variables and increase your models performance.*

[![Python versions](https://img.shields.io/pypi/pyversions/qdscreen.svg)](https://pypi.python.org/pypi/qdscreen/) [![Build Status](https://github.com/python-qds/qdscreen/actions/workflows/base.yml/badge.svg)](https://github.com/python-qds/qdscreen/actions/workflows/base.yml) [![Tests Status](https://python-qds.github.io/qdscreen/reports/junit/junit-badge.svg?dummy=8484744)](https://python-qds.github.io/qdscreen/reports/junit/report.html) [![Coverage Status](https://python-qds.github.io/qdscreen/reports/coverage/coverage-badge.svg?dummy=8484744)](https://python-qds.github.io/qdscreen/reports/coverage/index.html) [![codecov](https://codecov.io/gh/python-qds/qdscreen/branch/main/graph/badge.svg)](https://codecov.io/gh/python-qds/qdscreen) [![Flake8 Status](https://python-qds.github.io/qdscreen/reports/flake8/flake8-badge.svg?dummy=8484744)](https://python-qds.github.io/qdscreen/reports/flake8/index.html)

[![Documentation](https://img.shields.io/badge/doc-latest-blue.svg)](https://python-qds.github.io/qdscreen/) [![PyPI](https://img.shields.io/pypi/v/qdscreen.svg)](https://pypi.python.org/pypi/qdscreen/) [![Downloads](https://pepy.tech/badge/qdscreen)](https://pepy.tech/project/qdscreen) [![Downloads per week](https://pepy.tech/badge/qdscreen/week)](https://pepy.tech/project/qdscreen) [![GitHub stars](https://img.shields.io/github/stars/python-qds/qdscreen.svg)](https://github.com/python-qds/qdscreen/stargazers)

`qdscreen` is a python implementation of the Quasi-determinism screening algorithm from T.Rahier's PhD thesis, 2018.

The documentation for users is available here: [https://python-qds.github.io/qdscreen/](https://python-qds.github.io/qdscreen/)

A readme for developers is available here: [https://github.com/python-qds/qdscreen](https://github.com/python-qds/qdscreen)

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/python-qds/qdscreen",
    "name": "qdscreen",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "functional dependency correlation categorical feature selection bayesian network structure learning bnsl determinism quasi screening qds qds-bnsl",
    "author": "Sylvain MARIE <sylvain.marie@se.com>, Thibaud RAHIER <t.rahier@criteo.com>",
    "author_email": "",
    "download_url": "https://files.pythonhosted.org/packages/fb/a9/5893e802ccdbc72cc7fbbb712f92eb20f4dc6e9e370ed243d33e89bb2093/qdscreen-0.6.4.tar.gz",
    "platform": null,
    "description": "# qdscreen\n\n*Remove redundancy in your categorical variables and increase your models performance.*\n\n[![Python versions](https://img.shields.io/pypi/pyversions/qdscreen.svg)](https://pypi.python.org/pypi/qdscreen/) [![Build Status](https://github.com/python-qds/qdscreen/actions/workflows/base.yml/badge.svg)](https://github.com/python-qds/qdscreen/actions/workflows/base.yml) [![Tests Status](https://python-qds.github.io/qdscreen/reports/junit/junit-badge.svg?dummy=8484744)](https://python-qds.github.io/qdscreen/reports/junit/report.html) [![Coverage Status](https://python-qds.github.io/qdscreen/reports/coverage/coverage-badge.svg?dummy=8484744)](https://python-qds.github.io/qdscreen/reports/coverage/index.html) [![codecov](https://codecov.io/gh/python-qds/qdscreen/branch/main/graph/badge.svg)](https://codecov.io/gh/python-qds/qdscreen) [![Flake8 Status](https://python-qds.github.io/qdscreen/reports/flake8/flake8-badge.svg?dummy=8484744)](https://python-qds.github.io/qdscreen/reports/flake8/index.html)\n\n[![Documentation](https://img.shields.io/badge/doc-latest-blue.svg)](https://python-qds.github.io/qdscreen/) [![PyPI](https://img.shields.io/pypi/v/qdscreen.svg)](https://pypi.python.org/pypi/qdscreen/) [![Downloads](https://pepy.tech/badge/qdscreen)](https://pepy.tech/project/qdscreen) [![Downloads per week](https://pepy.tech/badge/qdscreen/week)](https://pepy.tech/project/qdscreen) [![GitHub stars](https://img.shields.io/github/stars/python-qds/qdscreen.svg)](https://github.com/python-qds/qdscreen/stargazers)\n\n`qdscreen` is a python implementation of the Quasi-determinism screening algorithm from T.Rahier's PhD thesis, 2018.\n\nThe documentation for users is available here: [https://python-qds.github.io/qdscreen/](https://python-qds.github.io/qdscreen/)\n\nA readme for developers is available here: [https://github.com/python-qds/qdscreen](https://github.com/python-qds/qdscreen)\n",
    "bugtrack_url": null,
    "license": "BSD 3-Clause",
    "summary": "Quasi-determinism screening for fast Bayesian Network Structure Learning (from T.Rahier's PhD thesis, 2018)",
    "version": "0.6.4",
    "split_keywords": [
        "functional",
        "dependency",
        "correlation",
        "categorical",
        "feature",
        "selection",
        "bayesian",
        "network",
        "structure",
        "learning",
        "bnsl",
        "determinism",
        "quasi",
        "screening",
        "qds",
        "qds-bnsl"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "67438b6d1d87339988b84ded103a96dc7a9625d68f3177182b997076c6602604",
                "md5": "e0acf8b023842123fd3ce40eb4c3214c",
                "sha256": "95c33a1c64d3b0b4d9348d79acdf518832d01ffa215bba684126f3cd71614f09"
            },
            "downloads": -1,
            "filename": "qdscreen-0.6.4-py2.py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "e0acf8b023842123fd3ce40eb4c3214c",
            "packagetype": "bdist_wheel",
            "python_version": "py2.py3",
            "requires_python": null,
            "size": 24022,
            "upload_time": "2023-03-17T16:44:55",
            "upload_time_iso_8601": "2023-03-17T16:44:55.078111Z",
            "url": "https://files.pythonhosted.org/packages/67/43/8b6d1d87339988b84ded103a96dc7a9625d68f3177182b997076c6602604/qdscreen-0.6.4-py2.py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "fba95893e802ccdbc72cc7fbbb712f92eb20f4dc6e9e370ed243d33e89bb2093",
                "md5": "f88516523ec92fde780e59cf2a713afe",
                "sha256": "06c5a018c28f2b70a195f76aa4ce3ac8b7c73c5cd3f8bcd943c2b20ee668509e"
            },
            "downloads": -1,
            "filename": "qdscreen-0.6.4.tar.gz",
            "has_sig": false,
            "md5_digest": "f88516523ec92fde780e59cf2a713afe",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 62573,
            "upload_time": "2023-03-17T16:44:56",
            "upload_time_iso_8601": "2023-03-17T16:44:56.705647Z",
            "url": "https://files.pythonhosted.org/packages/fb/a9/5893e802ccdbc72cc7fbbb712f92eb20f4dc6e9e370ed243d33e89bb2093/qdscreen-0.6.4.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-03-17 16:44:56",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "python-qds",
    "github_project": "qdscreen",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "qdscreen"
}