Metadata-Version: 2.1
Name: dl8.5
Version: 0.0.4
Summary: A package to build an optimal binary decision tree classifier.
Home-page: https://github.com/aglingael/dl8.5
Author: Gael Aglin, Siegfried Nijssen, Pierre Schaus
Author-email: aglingael@gmail.com, siegfried.nijssen@gmail.com, pschaus@gmail.com
Maintainer: Gael Aglin, Siegfried Nijssen, Pierre Schaus
Maintainer-email: aglingael@gmail.com, siegfried.nijssen@gmail.com, pschaus@gmail.com
License: LICENSE.txt
Download-URL: https://github.com/aglingael/dl8.5
Project-URL: Source on github, https://github.com/aglingael/dl8.5
Project-URL: Documentation, https://dl85.readthedocs.io/en/latest/?badge=latest
Description: |Travis|_ |CircleCI|_ |ReadTheDocs|_ |Codecov|_
        
        .. |Travis| image:: https://travis-ci.org/aglingael/dl8.5.svg?branch=master
        .. _Travis: https://travis-ci.org/aglingael/dl8.5
        
        .. |CircleCI| image:: https://circleci.com/gh/aglingael/dl8.5/tree/master.svg?style=svg
        .. _CircleCI: https://circleci.com/gh/aglingael/dl8.5/
        
        .. |ReadTheDocs| image:: https://readthedocs.org/projects/dl85/badge/?version=latest
        .. _ReadTheDocs: https://dl85.readthedocs.io/en/latest/?badge=latest
        
        .. |Codecov| image:: https://codecov.io/gh/aglingael/dl8.5/branch/master/graph/badge.svg
        .. _Codecov: https://codecov.io/gh/aglingael/dl8.5
        
        This project implements an algorithm for inferring optimal binary decision trees classifiers.
        It is scikit-learn compatible and can be used with any scikit-learn functions.
        As any scikit-learn classifier, you have to use methods "fit" and "predict".
        
        The documentation is available at https://dl85.readthedocs.io/en/latest/?badge=latest
        
        
Keywords: decision trees,discrete optimization,classification
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Provides-Extra: tests
Provides-Extra: docs
