Metadata-Version: 2.1
Name: coco-experiment
Version: 2.7.3
Summary: Benchmarking framework for all types of black-box optimization algorithms.
Author: Asma Atamna, Dimo Brockhoff, Lorenzo Consoli, Ouassim Ait ElHara, Paul Dufossé, Nikolaus Hansen, Leopold Luley, Olaf Mersmann, Duc Manh Nguyen, Phillipe R. Sampaio, Marc Schoenauer, Dejan Tušar, Tea Tušar, Konstantinos Varelas
License: BSD-3-Clause
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: Implementation :: CPython
Project-URL: Homepage, https://github.com/numbbo/coco-experiment
Project-URL: Documentation, https://numbbo.github.io/coco-doc/apidocs/cocoex/
Project-URL: Issues, https://github.com/numbbo/coco-experiment/issues
Requires-Python: >=3.8
Requires-Dist: numpy>=1.24.0
Description-Content-Type: text/markdown

<h1 align="center">
<img src="https://raw.githubusercontent.com/numbbo/coco-experiment/main/logo/coco-ex-300.webp" width="300">
</h1><br>

[![version](https://img.shields.io/pypi/v/coco-experiment?color=blue)](https://pypi.org/project/coco-experiment)
[![license](https://img.shields.io/pypi/l/coco-experiment)](https://pypi.org/project/coco-experiment)
[![build](https://img.shields.io/github/actions/workflow/status/numbbo/coco-experiment/build.yml?branch=main)][build]
[![download](https://img.shields.io/pypi/dm/coco-experiment.svg?label=PyPI%20downloads)][pypi]
[![paper](https://img.shields.io/badge/DOI-10.1080%2F10556788.2020.1808977-blue)][paper]

*coco-experiment* is a Python module implementing the experimental part of [COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting][paper].

- **Website:** https://numbbo.github.io/coco/
- **Source code:** https://github.com/numbbo/coco-experiment
- **Bug reports:** https://github.com/numbbo/coco-experiment/issues

## Installation

The easiest way to install coco-experiment is using `pip` (preferably in a virtual environment):

```python
pip install -U coco-experiment
```

## Usage

Similar to scikit-learn, the name of the coco-experiment module is _not_ `coco-experiment` but rather `cocoex`.
To get started, take a look at the [simple example experiment][expy].

[build]: https://github.com/numbbo/coco-experiment/actions?query=branch%3Amain
[pypi]: https://pypi.org/project/coco-experiment/
[paper]: https://doi.org/10.1080/10556788.2020.1808977
[expy]: https://github.com/numbbo/coco-experiment/blob/main/build/python/example/example_experiment_complete.py
