bayesian-optimization-tools
Bayesian optimization workflow guide for experiment suggestion, condition tuning, and closed-loop parameter search with Gaussian-process surrogates. Use when the user asks which experiment to try next, how to tune reaction or assay conditions, or how to balance exploration versus exploitation over a bounded numeric search space.
Installation and usage
Bayesian optimization workflow guide for experiment suggestion, condition tuning, and closed-loop parameter search with Gaussian-process surrogates. Use when the user asks which experiment to try next, how to tune reaction or assay conditions, or how to balance exploration versus exploitation over a bounded numeric search space.
После установки вы можете использовать этот skill, выполнив следующую команду в терминале:
skills use bayesian-optimization-tools