lab-toolsresearch
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.
maintainer
DrugClaw
更新於 3/11/2026
星標
50
分支
3
quick start
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.
安裝
$ install --globalskills.sh
使用
安裝後,您可以透過在終端機執行以下指令來使用此技能:
skills use bayesian-optimization-tools