Length scale in Kernel functions
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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.
Anshika Chaurasia on 4 Mar 2021
"The characteristic length scales briefly define how far apart the input values can be for the response values to become uncorrelated. "
Refer to the following documentation for more information on characteristic length scale:
Hope it helps!