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see 📒 Bgolearn (Click to view)
Written using Python, which is suitable for operating systems, e.g., Windows/Linux/MAC OS etc.
Cite :
- Zhang Tong-yi, Cao Bin, Wang Yuanhao, Tian Yuan, Sun Sheng, Liu Nianhong. Bayesian global optimization package for material design [2022SR1481726], 2022, Software copyright, GitHub : github.com/Bin-Cao/Bgolearn.
pip install Bgolearn
pip show Bgolearn
pip install --upgrade Bgolearn
Bgolearn V1.2 Oct, 2022. Officially promoted version. Which contains 9 Utility Functions for sampling, and 4 Evaluation Functions for evaluating the optimization efficiency of Utility Function.
Bgolearn V1.3 Nov, 2022. add classification task
See : papers
Maintained by Bin Cao. Please feel free to open issues in the Github or contact Bin Cao ([email protected]) in case of any problems/comments/suggestions in using the code.
Contribution and suggestions are always welcome. In addition, we are also looking for research collaborations. You can submit issues for suggestions, questions, bugs, and feature requests, or submit pull requests to contribute directly. You can also contact the authors for research collaboration.