Metadata-Version: 1.2
Name: pydl8.5
Version: 0.1.0
Summary: A package to build an optimal binary decision tree classifier.
Home-page: https://github.com/aia-uclouvain/pydl8.5
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/aia-uclouvain/pydl8.5
Project-URL: Source on github, https://github.com/aia-uclouvain/pydl8.5
Project-URL: Documentation, https://pydl85.readthedocs.io/en/latest/?badge=latest
Description: |Travis|_ |CircleCI|_ |ReadTheDocs|_ |Codecov|_
        
        .. |Travis| image:: https://app.travis-ci.com/aglingael/PyDL8.5.svg?branch=master
        .. _Travis: https://app.travis-ci.com/github/aglingael/PyDL8.5
        
        .. |CircleCI| image:: https://circleci.com/gh/aglingael/PyDL8.5/tree/master.svg?style=shield
        .. _CircleCI: https://app.circleci.com/pipelines/github/aglingael/PyDL8.5
        
        .. |ReadTheDocs| image:: https://readthedocs.org/projects/dl85/badge/?version=latest
        .. _ReadTheDocs: https://dl85.readthedocs.io/en/latest/
        
        .. |Codecov| image:: https://codecov.io/gh/aglingael/dl8.5/branch/master/graph/badge.svg
        .. _Codecov: https://codecov.io/gh/aglingael/dl8.5
        
        :Authors:
            Gaël Aglin, Siegfried Nijssen, Pierre Schaus
        
        Relevant paper : `[DL852020] <https://dial.uclouvain.be/pr/boreal/fr/object/boreal%3A223390/datastream/PDF_01/view>`_ `[PYDL852020] <https://www.ijcai.org/Proceedings/2020/0750.pdf>`_
        
        **PYDL8.5:** This project implements an algorithm for inferring optimal binary decision trees.
        It is scikit-learn compatible and can be used in combination with scikit-learn.
        As a scikit-learn classifier, it implements the methods "fit" and "predict".
        
        This tool can be installed in two ways:
        
        * download the source from github and install using the command ``python3 setup.py install`` in the root folder
        * install from pip by using the command ``pip install pydl8.5`` in the console
        
        **Disclaimer: The compilation of the project has been tested with C++ compilers on the Linux and MacOS operating systems; Windows is not yet supported.**
        
        .. [DL852020] Aglin, G., Nijssen, S., Schaus, P. Learning optimal decision trees using caching branch-and-bound search. In AAAI. 2020.
        .. [PYDL852020] Aglin, G., Nijssen, S., Schaus, P. PyDL8.5: a Library for Learning Optimal Decision Trees., In IJCAI. 2020.
        
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
