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Project description

Home-page: http://github.com/chriswbartley/monoensemble
Author: Christopher Bartley
Author-email: christopher.bartley@research.uwa.edu.au
Maintainer: Christopher Bartley
Maintainer-email: christopher.bartley@research.uwa.edu.au
License: BSD 3 Clause
Description:

monoensemble
========
This package contains high performance implementations of
MonoGradientBoostingClassifier and MonoRandomForestClassifier. These monotone
classifiers use the fast and scaleable monotone rule approach described
in Bartley C., Liu W., and Reynolds M. \Enhanced Random Forest Algorithms for
Partially Monotone Ordinal Classi?cation". In: Proceedings of the Thirty-Third AAAI Conference on
Arti?cial Intelligence (AAAI-2019), Honolulu, Hawaii, USA, Jan 27 - Feb 1 PREPRESS. ed. by
AAAI Press. AAAI. 2019.

To get started, please go to the repository README_.

.. _README: https://github.com/chriswbartley/monoensemble/blob/master/README.md


License
=======
``monoensemble`` is licensed under the terms of the BSD 3 Clause License. See the
file "LICENSE" for information on the history of this software, terms &
conditions for usage, and a DISCLAIMER OF ALL WARRANTIES.

All trademarks referenced herein are property of their respective holders.

Copyright (c) 2017, Christopher Bartley

Platform: OS Independent
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: BSD 3 Clause License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering

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