monoboost: a partially monotone instance based classification library
Project description
Monoboost
========
Monoboost is a template project for small scientific Python projects.
It contains software implementations of an analysis of some simple data, but
more importantly, it contains infrastructure for testing, documentation,
continuous integration and deployment, which can be easily adapted
to use in other projects.
To get started using these components in your own software, please go to the
repository README_.
.. _README: https://github.com/chriswbartley/monoboost/blob/master/README.md
License
=======
``monoboost`` is licensed under the terms of the MIT 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, The University of Western Australia.
========
Monoboost is a template project for small scientific Python projects.
It contains software implementations of an analysis of some simple data, but
more importantly, it contains infrastructure for testing, documentation,
continuous integration and deployment, which can be easily adapted
to use in other projects.
To get started using these components in your own software, please go to the
repository README_.
.. _README: https://github.com/chriswbartley/monoboost/blob/master/README.md
License
=======
``monoboost`` is licensed under the terms of the MIT 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, The University of Western Australia.
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