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GitHub / timzatko / Sklearn-Nature-Inspired-Algorithms

Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/timzatko%2FSklearn-Nature-Inspired-Algorithms

Stars: 28
Forks: 9
Open Issues: 4

License: mit
Language: Python
Repo Size: 475 KB
Dependencies: 48

Created: about 4 years ago
Updated: about 17 hours ago
Last pushed: 8 months ago
Last synced: about 17 hours ago

Commit Stats

Commits: 150
Authors: 4
Mean commits per author: 37.5
Development Distribution Score: 0.04
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/timzatko/Sklearn-Nature-Inspired-Algorithms

Topics: data-science, hyper-parameter-optimization, hyper-parameter-tuning, nature-inspired-algorithms, python, scikit-learn

Files
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    Readme
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    Dependencies
    docs/requirements.txt pypi
    pyproject.toml pypi
    .github/workflows/ci.yml actions
    .github/workflows/publish.yml actions
    poetry.lock pypi