10 lines
521 B
Text
10 lines
521 B
Text
Bayesian Optimization is a pure Python implementation of bayesian global
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optimization with gaussian processes.
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This is a constrained global optimization package built upon bayesian inference
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and gaussian process, that attempts to find the maximum value of an unknown
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function in as few iterations as possible. This technique is particularly suited
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for optimization of high cost functions, situations where the balance between
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exploration and exploitation is important.
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WWW: https://github.com/fmfn/BayesianOptimization
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