Create a new conda environment:
conda env create -f environment.yml
Install the project:
pip install -e .
Each experiment requires a config json, and there many examples of config files in config.
To use the config file config/<name>.json, run the following command from the root folder
python main.py --config <name>
You can also include the --bg flag if you would like to redirect stderr and stdout to a different file and save the outputs.
python main.py --config <name> --bg
The Bayesian optimization loop is in main.py
models: the model code for each of the surrogate models we consider.
test_functions: objective functions for benchmark problems