CIPy

Computational Intelligence algorithms in Python using NumPy.

Notice: This library is in a pre-alpha stage and all code is subject to major changes or removal. Additionally, although correctness of the code is a priority, exhaustive testing of the code is an ongoing endeavor.

Installation

• Source (Anaconda environment): recommended for development.

  git clone https://github.com/avanwyk/cipy
  cd cipy
  conda env create -f environment.yml
  source activate cipy-env
  pip install -e .

• Source (development)

  git clone https://github.com/avanwyk/cipy
  cd cipy
  pip install -e .

• Source (setup.py)

  git clone https://github.com/avanwyk/cipy
  cd cipy
  python setup.py install

Examples

Examples of algorithms are given in the examples/ directory:

python examples/gbest_pso.py

Tests

Unit tests may be run with pytest:

python -m pytest

or setup.py:

python setup.py test

Examples and project benchmarks may be run with pytest as follows:

python -m pytest --runexamples

and

python -m pytest --runbenchmarks

Issues

This project uses the Github issue tracker. Please report any issues there.

License

The project uses Apache License 2.0