Metadata-Version: 2.1
Name: fuzzy-rough-learn
Version: 0.1.0
Summary: A library of tools for fuzzy rough machine learning.
Home-page: https://github.com/oulenz/fuzzy-rough-learn
Maintainer: Oliver Urs Lenz
Maintainer-email: oliver.urs.lenz@gmail.com
License: MIT
Download-URL: https://github.com/oulenz/fuzzy-rough-learn
Description: .. -*- mode: rst -*-
        
        |Travis|_ |AppVeyor|_ |Codecov|_ |CircleCI|_ |ReadTheDocs|_
        
        .. |Travis| image:: https://travis-ci.com/oulenz/fuzzy-rough-learn.svg?branch=master
        .. _Travis: https://travis-ci.com/oulenz/fuzzy-rough-learn
        
        .. |AppVeyor| image:: https://ci.appveyor.com/api/projects/status/7xrrtwcj0i3lgd5a/branch/master?svg=true
        .. _AppVeyor: https://ci.appveyor.com/project/oulenz/fuzzy-rough-learn
        
        .. |Codecov| image:: https://codecov.io/gh/oulenz/fuzzy-rough-learn/branch/master/graph/badge.svg
        .. _Codecov: https://codecov.io/gh/oulenz/fuzzy-rough-learn
        
        .. |CircleCI| image:: https://circleci.com/gh/oulenz/fuzzy-rough-learn.svg?style=shield&circle-token=:circle-token
        .. _CircleCI: https://circleci.com/gh/oulenz/fuzzy-rough-learn/tree/master
        
        .. |ReadTheDocs| image:: https://readthedocs.org/projects/fuzzy-rough-learn/badge/?version=latest
        .. _ReadTheDocs: https://fuzzy-rough-learn.readthedocs.io/en/latest/?badge=latest
        
        .. _scikit-learn: https://scikit-learn.org
        
        fuzzy-rough-learn
        =================
        
        **fuzzy-rough-learn** is a library of fuzzy rough machine learning algorithms, extending scikit-learn_.
        
        
        Contents
        --------
        
        At present, fuzzy-rough-learn contains the following algorithms:
        
        Classifiers
        ...........
        
        * Fuzzy Rough Nearest Neighbours (FRNN; multiclass)
        * Fuzzy Rough OVO COmbination (FROVOCO; muliclass, suitable for imbalanced data)
        * Fuzzy ROugh NEighbourhood Consensus (FRONEC; multilabel)
        
        Preprocessors
        .............
        
        * Fuzzy Rough Feature Selection (FRFS)
        * Fuzzy Rough Prototype Selection (FRPS)
        
        Utilities
        .........
        
        * OWA operator class
        * Nearest Neighbour search algorithm class
        
        
        Documentation
        -------------
        
        The documentation is located here_.
        
        .. _here: https://fuzzy-rough-learn.readthedocs.io/en/stable/
        
        
        Dependencies
        ------------
        
        fuzzy-rough-learn requires python 3.7+ and the following packages:
        
        * scipy >= 1.1.0
        * numpy >=1.16.0
        * scikit-learn >=0.22.0
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3.7
Provides-Extra: tests
Provides-Extra: docs
