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A set of open source frameworks for Artificial Intelligence (mostly machine learning and optimization).

Project Description

Copyright (c) 2014,2015,2016,2017 Jeremie DECOCK (http://www.jdhp.org)

Description

This is a set of open source frameworks for Artificial Intelligence (mostly machine learning and optimization).

This contains (among others):

  • a blackbox non linear noisy optimization framework;
  • a machine learning framework;
  • a multistage optimization and Markov Decision Process framework (Markov Decision Processes).

Note:

This project is still in beta stage, so the API is not finalized yet.

Dependencies

  • Python >= 3.0
  • Numpy
  • Matplotlib

Installation

Gnu/Linux

You can install, upgrade, uninstall PyAI with these commands (in a terminal):

pip install --pre jdhp-pyai
pip install --upgrade jdhp-pyai
pip uninstall jdhp-pyai

Or, if you have downloaded the PyAI source code:

python3 setup.py install

Windows

You can install, upgrade, uninstall PyAI with these commands (in a command prompt):

py -m pip install --pre jdhp-pyai
py -m pip install --upgrade jdhp-pyai
py -m pip uninstall jdhp-pyai

Or, if you have downloaded the PyAI source code:

py setup.py install

MacOSX

You can install, upgrade, uninstall PyAI with these commands (in a terminal):

pip install --pre jdhp-pyai
pip install --upgrade jdhp-pyai
pip uninstall jdhp-pyai

Or, if you have downloaded the PyAI source code:

python3 setup.py install

Documentation

Example usage

TODO

Bug reports

To search for bugs or report them, please use the PyAI Bug Tracker at:

https://github.com/jeremiedecock/pyai/issues

License

This project is provided under the terms and conditions of the MIT License.

Release History

Release History

This version
History Node

0.1.dev2

History Node

0.1.dev1

History Node

0.1.dev0

Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
jdhp-pyai-0.1.dev2.tar.gz (17.0 kB) Copy SHA256 Checksum SHA256 Source Aug 2, 2017

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