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vaithak
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pygpbo
A python library for optimizing black-box functions using bayesian optimization. Contains support for optimizing high dimensional functions using linear-embedding based techniques.
MIT License
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Add standard examples for usage
#3
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umang-malik
opened
3 years ago
umang-malik
commented
3 years ago
Add examples for how to use the module.
Must add examples for both, Jupyter notebook and Python file.
Examples for standard BO include:
[ ] Hyperparameter tuning for an ML model (like SVM)
[ ] Show visualization similar to
this
.
Make a jupyter notebook for this.
[ ] Brainin function
[ ] Hartmann6 function
Examples for HDBO include:
[ ] Neural architecture search (Use
NAS-Bench-101
)
[ ] Robot locomotion example mentioned in ALEBO paper.
arpitjjw
commented
3 years ago
Working on Brainin