9 lines
481 B
Plaintext
9 lines
481 B
Plaintext
Bayesian Optimization provides 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 processes, 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 and situations where the balance between
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exploration and exploitation is important.
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