Metadata-Version: 2.1
Name: qdscreen
Version: 0.6.1
Summary: Quasi-determinism screening for fast Bayesian Network Structure Learning (from T.Rahier's PhD thesis, 2018)
Home-page: https://github.com/python-qds/qdscreen
Download-URL: https://github.com/python-qds/qdscreen/tarball/0.6.1
Author: Sylvain MARIE <sylvain.marie@se.com>, Thibaud RAHIER <t.rahier@criteo.com>
License: BSD 3-Clause
Keywords: functional dependency correlation categorical feature selection bayesian network structure learning bnsl determinism quasi screening qds qds-bnsl
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
License-File: LICENSE

# 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)
