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Tutorial for user-defined surrogate model, user-defined dataset (or both) #1

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sgbaird opened this issue Dec 7, 2021 · 0 comments

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@sgbaird
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sgbaird commented Dec 7, 2021

@HarryQL
Very interesting, thorough, and timely paper!

Adaptive design materials informatics benchmarking is very relevant to me (see e.g. mat_discover), and I'd like to use the methods described here, but it seems like I might spend somewhere between 10-30 hrs before I can decide if they're really what I want/need.

Would it be possible for you to make some tutorials on how to:

  1. perform adaptive design on a different dataset than what's shown
  2. assess benchmarks for a user-defined surrogate model
  3. perform the above two simultaneously

Happy to assist with refactoring the Jupyter notebooks into a Python class or making it installable via pip and/or conda if that's of interest.

@ramseyissa

Sterling

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