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Description
Hi,
I know a requirement of this AR1 MFK implementation is a nested DOE, where higher fidelity data is included in the lower fidelity dataset.
I was checking the MFK function and noticed it will accept non-nested datasets without throwing an error, but of course results in an incorrect procedure. I was curious - what is occurring, in terms of this coded implementation, when non-nested datasets are used? And is there a reason for not having an error when non-nested inputs are detected? I saw in Le Gratiet's thesis he describes a version of the algorithm not requiring nesting, but I need to study it further to understand the differences.
The SMT package is great, I've used it for MFK in my PhD (citing of course!) and I was curious if there are any ways to get more involved with developing/contributing to the code base?
Thank you so much!