BayesianOptimization
swMATH ID: | 33397 |
Software Authors: | Nogueira, F. |
Description: | Bayesian optimization: Open source constrained global optimization tool for Python. This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. |
Homepage: | https://github.com/fmfn/BayesianOptimization |
Source Code: | https://github.com/fmfn/BayesianOptimization |
Dependencies: | Python |
Related Software: | Python; SciPy; GitHub; Gurobi; Spearmint; Scikit; Adam; GPflowOpt; BayesCG; ProbNum; UQTk; UQpy; PyMC; NumPyro; Pyro; QMCPy; CMA-ES; SolarPILOT; PySAM; Pyomo |
Cited in: | 6 Documents |
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