Metadata-Version: 2.1
Name: smote_variants
Version: 0.1.9
Summary: Variants of the synthetic minority oversampling technique (SMOTE) for imbalanced learning
Home-page: https://github.com/gykovacs/smote-variants
Maintainer: Gyorgy Kovacs
Maintainer-email: gyuriofkovacs@gmail.com
License: MIT
Download-URL: https://github.com/gykovacs/smote-variants
Description: .. -*- mode: rst -*-
        
        .. _scikit-learn: http://scikit-learn.org/stable/
        
        .. _scikit-learn-contrib: https://github.com/scikit-learn-contrib
        
        |Travis|_ |AppVeyor|_ |Codecov|_ |CircleCI|_ |ReadTheDocs|_ |PythonVersion|_ |Pypi|_ |Gitter|_
        
        .. |Travis| image:: https://travis-ci.org/scikit-learn-contrib/imbalanced-learn.svg?branch=master
        .. _Travis: https://travis-ci.org/scikit-learn-contrib/imbalanced-learn
        
        .. |AppVeyor| image:: https://ci.appveyor.com/api/projects/status/c8w4xb7re4euntvi/branch/master?svg=true
        .. _AppVeyor: https://ci.appveyor.com/project/glemaitre/imbalanced-learn/history
        
        .. |Codecov| image:: https://codecov.io/gh/scikit-learn-contrib/imbalanced-learn/branch/master/graph/badge.svg
        .. _Codecov: https://codecov.io/gh/scikit-learn-contrib/imbalanced-learn
        
        .. |CircleCI| image:: https://circleci.com/gh/scikit-learn-contrib/imbalanced-learn.svg?style=shield&circle-token=:circle-token
        .. _CircleCI: https://circleci.com/gh/scikit-learn-contrib/imbalanced-learn/tree/master
        
        .. |ReadTheDocs| image:: https://readthedocs.org/projects/imbalanced-learn/badge/?version=latest
        .. _ReadTheDocs: https://imbalanced-learn.readthedocs.io/en/latest/?badge=latest
        
        .. |PythonVersion| image:: https://img.shields.io/pypi/pyversions/imbalanced-learn.svg
        .. _PythonVersion: https://img.shields.io/pypi/pyversions/imbalanced-learn.svg
        
        .. |Pypi| image:: https://badge.fury.io/py/imbalanced-learn.svg
        .. _Pypi: https://badge.fury.io/py/imbalanced-learn
        
        .. |Gitter| image:: https://badges.gitter.im/scikit-learn-contrib/imbalanced-learn.svg
        .. _Gitter: https://gitter.im/scikit-learn-contrib/imbalanced-learn?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge
        
        imbalanced-learn
        ================
        
        imbalanced-learn is a python package offering a number of re-sampling techniques
        commonly used in datasets showing strong between-class imbalance.
        It is compatible with scikit-learn_ and is part of scikit-learn-contrib_
        projects.
        
        Documentation
        -------------
        
        Installation documentation, API documentation, and examples can be found on the
        documentation_.
        
        .. _documentation: https://imbalanced-learn.readthedocs.io/en/stable/
        
        Installation
        ------------
        
        Dependencies
        ~~~~~~~~~~~~
        
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Requires-Python: >=3.5
Description-Content-Type: text/x-rst
Provides-Extra: tests
Provides-Extra: docs
