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GitHub / cog-imperial / entmoot

Multiobjective black-box optimization using gradient-boosted trees

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cog-imperial%2Fentmoot

Stars: 50
Forks: 11
Open Issues: 4

License: bsd-3-clause
Language: Python
Repo Size: 932 KB
Dependencies: 23

Created: almost 4 years ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: 27 days ago

Commit Stats

Commits: 197
Authors: 7
Mean commits per author: 28.14
Development Distribution Score: 0.695
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/cog-imperial/entmoot

Topics: bayesian-optimization, black-box-optimization, gradient-boosted-trees, hyperparameter-optimization, mixed-integer-programming, multiobjective-optimization, optimization, python

Files
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    Readme
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    Dependencies
    requirements.txt pypi
    setup.py pypi
    .github/workflows/python-package.yml actions
    pyproject.toml pypi
    requirements-dev.txt pypi