fvGP and HGDL are support packages upstream of gpCAM. Knowing about these packages in detail is optional but beneficial for advanced use cases.
Bayesian Optimization, Gaussian process uncertainty quantification, and Autonomous experimentation can be complicated endeavors employing user-defined acquisition functions, cost functions, training procedures, and optimization algorithms. Make sure to test your setup a few weeks before a high-stakes application, and please feel free to reach out if you encounter difficulties.
The codes for the three packages can be found here:
Install all of them as part of the gpCAM package via: pip install gpcam
More installation information can be found here.
Please submit issues on GitHub.