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Projects: pypi: bayesopt

https://packages.ecosyste.ms/registries/pypi.org/packages/bayesopt

BayesOpt is an efficient implementation of the Bayesian optimization methodology for nonlinear optimization, experimental design and hyperparameter tuning
2 versions
Latest release: about 9 years ago
7 downloads last month

Enhanced Analysis
Repository Activity:
Repository Owner: Ruben Martinez-Cantin (user)
README Analysis:
Science Score: 50/100
Starting Score: 100 points
Bonuses:
  • +16 Science terms in README
    8 scientific terms found in README
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem
  • -15 No science keywords
    No scientific terms found in keywords/classifiers
  • -25 Non-science indicators
    1 non-scientific terms found
Likely Science (50)

Papers Mentioning bayesopt 2

10.1098/rsos.201121
Surrogate models based on machine learning methods for parameter estimation of left ventricular myocardium
Cited by: 31
Author(s): Li Cai, Lei Ren, Yongheng Wang, Wenjie Xie, Guangyu Zhu, Hao Gao
Software Mentions: 4
Published: over 5 years ago
10.1038/s41598-020-60652-9
Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables
Cited by: 89
Author(s): Yichi Zhang, Daniel W. Apley, Wei Chen
Software Mentions: 3
Published: over 6 years ago