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cmaes 0.11.1

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Lightweight Covariance Matrix Adaptation Evolution Strategy (CMA-ES) implementation for Python 3.

Lightweight Covariance Matrix Adaptation Evolution Strategy (CMA-ES) implementation for Python 3.

Stars: 360, Watchers: 360, Forks: 63, Open Issues: 7

The CyberAgentAILab/cmaes repo was created 4 years ago and the last code push was 4 weeks ago.
The project is popular with 360 github stars!

How to Install cmaes

You can install cmaes using pip

pip install cmaes

or add it to a project with poetry

poetry add cmaes

Package Details

Author
None
License
MIT License Copyright (c) 2020 CyberAgent, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Homepage
None
PyPi:
https://pypi.org/project/cmaes/
GitHub Repo:
https://github.com/CyberAgent/cmaes

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Errors

A list of common cmaes errors.

Code Examples

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