I am new to machine learning and I have a question regarding ARD Matern 5/2 kernel functions used in Bayesopt.
How is characteristic length scale calculated in? Is it a constnat value or it varies in each iteration? Any useful refenrece?
The documentation is not very clear to me and any helps is greatly appreciated.