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GitHub / scikit-optimize / scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scikit-optimize%2Fscikit-optimize
Stars: 2,725
Forks: 544
Open Issues: 322
License: bsd-3-clause
Language: Python
Repo Size: 8.99 MB
Dependencies:
25
Created: about 8 years ago
Updated: 28 days ago
Last pushed: 3 months ago
Last synced: 28 days ago
Commit Stats
Commits: 1251
Authors: 83
Mean commits per author: 15.07
Development Distribution Score: 0.752
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/scikit-optimize/scikit-optimize
Topics: bayesian-optimization, bayesopt, binder, hacktoberfest, hyperparameter, hyperparameter-optimization, hyperparameter-search, hyperparameter-tuning, machine-learning, optimization, scientific-computing, scientific-visualization, scikit-learn, sequential-recommendation, visualization
Files
Dependencies
- ipykernel *
- ipywidgets *
- matplotlib *
- numpy *
- numpydoc *
- pandas *
- sphinx *
- sphinx-gallery >=0.6
- joblib >=0.11
- matplotlib >=2.0.0
- numpy >=1.13.3
- pyaml >=16.9
- pytest *
- scikit-learn >=0.20
- scipy >=0.19.1