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pypi.org : bgolearn
A Bayesian global optimization package for material design
Registry
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Source
- Documentation
- JSON
purl: pkg:pypi/bgolearn
Keywords: active-learning, adaptive-learning, augmented-expected-improvement, bayesian-global-optimization, entropy-based-approach, expected-improvement, knowledge-gradient, least-confidence, margin-sampling, material-design, materials, materials-informatics, materials-science, opportunity-cost, predictive-entropy-search, probability-of-improvement, trail-path, upper-confidence-bound
License: MIT
Latest release: about 2 months ago
First release: almost 2 years ago
Downloads: 198 last month
Stars: 49 on GitHub
Forks: 10 on GitHub
Total Commits: 78
Committers: 1
Average commits per author: 78.0
Development Distribution Score (DDS): 0.0
More commit stats: commits.ecosyste.ms
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Last synced: 20 days ago