Note: This package is no longer actively maintained. I won't be actively responding to issues. If you'd like to volunteer to maintain it, please drop me a line at [email protected]
copt is an optimization library for Python. Its goal is to provide a high quality implementation of classical optimization algorithms under a consistent API.
If you already have a working installation of numpy and scipy,
the easiest way to install copt is using pip
pip install -U copt
Alternatively, you can install the latest development from github with the command:
pip install git+https://github.com/openopt/copt.git
If this software is useful for your research, please consider citing it as
@article{copt,
author = {Fabian Pedregosa, Geoffrey Negiar, Gideon Dresdner},
title = {copt: composite optimization in Python},
year = 2020,
DOI = {10.5281/zenodo.1283339},
url={http://openopt.github.io/copt/}
}
The recommended way to work on the development versionis the following:
Clone locally the github repo. This can be done with the command:
git clone https://github.com/openopt/copt.git
This will create a copt directory.
2. Link this directory to your Python interpreter. This can be done by running the following command from the copt directory created with the previous step:
python setup.py develop
Now you can run the tests with py.test tests/