Gradient generation tool to support GENN models in FOQUS

[bpaul4]

Summary/Motivation:

Gradient generation tool from Brady Gess. Certain machine learning tools train gradient-enhanced neural network (GENN) models which can be more accurate for complex datasets given a priori knowledge of model derivatives. However, the derivatives must be known beforehand and are not often available for process data. This tool automatically predicts the gradients for a training dataset in a form usable by common GENN trainers, such as Surrogate Modeling Toolbox.

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[codecov]

Codecov Report

All modified lines are covered by tests ✅

📢 Thoughts on this report? Let us know!.

[bpaul4]

@lbianchi-lbl would it be useful or convenient to add testing, even if that is just a smoke test? I'm also fine overlooking code coverage for this script if that is the only issue.

[bpaul4]

@lbianchi-lbl @ksbeattie would be you available to review the methods and documentation? The documentation contains a small example script to call the method and test it. I did not add a smoke test for now, as the example tests are not part of the CI suite.

[ksbeattie]

Pretty much a rubber stamp here...

[lbianchi-lbl]

• The documentation looks thorough (although I didn't review it in depth for accuracy)
• Similarly for the code; we should figure out if or how to test scripts in the examples directory, but that's a more general discussion that goes beyond this PR