Length scale in Kernel functions

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Aep on 3 Sep 2020
Hello all,
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.

Answers (1)

Anshika Chaurasia
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!

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