coco-experiment

Benchmarking framework for all types of black-box optimization algorithms.

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Project description

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

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):

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.

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Release history Release notifications | RSS feed

2.6.100

Sep 18, 2024

2.6.99rc4 pre-release

Jul 31, 2024

This version

2.6.99rc3 pre-release

Jul 25, 2024

2.6.99rc2 pre-release

Jun 24, 2024

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