Running closed-loop framework

1. Configure the attributes in the surrogate_models_input.py file, save the file.

2. Open Anaconda Prompt and navigate to the directory where you’ve cloned the repository, i.e., the run_folder attribute in the input file..

3. Make sure that the PAL_env environment is activated

4. Running the code:

   • To perform Bayesian Optimization, run the following jupyter notebook:

   acquitision_function_bo-ClosedLoop.ipynb
   

The code for the closed-loop PAL 2.0 framework can be found at https://github.com/ClancyLab/MPEA_PAL2