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GitHub / rodrigo-arenas / Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rodrigo-arenas%2FSklearn-genetic-opt
Stars: 274
Forks: 70
Open Issues: 3
License: mit
Language: Python
Repo Size: 123 MB
Dependencies:
36
Created: over 4 years ago
Updated: 12 days ago
Last pushed: 16 days ago
Last synced: 8 days ago
Commit Stats
Commits: 396
Authors: 13
Mean commits per author: 30.46
Development Distribution Score: 0.485
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/rodrigo-arenas/Sklearn-genetic-opt
Topics: artificial-intelligence, automl, begginer-friendly, contributions-welcome, deap, evolutionary-algorithms, feature-selection, featureselection, good-first-issue, goodfirstissue, help-wanted, hyperparameter-optimization, hyperparameters, looking-for-contributors, machine-learning, model-selection, python, scikit-learn, sklearn, up-for-grabs
Files
Dependencies
- actions/checkout v1 composite
- actions/setup-python v1 composite
- actions/cache v3 composite
- actions/checkout v3 composite
- actions/setup-python v3 composite
- codecov/codecov-action v3 composite
- black ==21.5b2 development
- codecov ==2.1.11 development
- deap >=1.3.3 development
- mlflow >=1.30.0 development
- nbsphinx * development
- numpy >=1.19.0 development
- numpydoc * development
- pytest ==7.1.1 development
- pytest-cov ==3.0.0 development
- scikit-learn >=1.1.0 development
- seaborn >=0.11.2 development
- sphinx * development
- sphinx-copybutton * development
- sphinx_gallery * development
- sphinx_rtd_theme * development
- tcl ==0.2 development
- tensorflow >=2.0.0 development
- tk * development
- tqdm >=4.61.1 development
- twine ==3.3.0 development
- deap >=1.3.3
- numpy >=1.19.0
- scikit-learn >=1.1.0
- tqdm >=4.61.1