Libtorch NN classifier surrogate

[somu15]

Reason

For active/online learning, it is important to drive away from unwanted/failed solves when training the surrogate like Gaussian process. To filter out unwanted/failed solves, a NN classifier surrogate coupled with active/online learning will lead to a better overall surrogate.

Design

Existing implementation of libtorch NN implemented by @grmnptr is extended to perform binary classification in addition regression.

Impact

No impact expected to existing objects.

Closes #27398

[moosebuild]

Job Precheck on e3b6463 wanted to post the following:

Your code requires style changes.

A patch was auto generated and copied here
You can directly apply the patch by running, in the top level of your repository:

curl -s https://mooseframework.inl.gov/docs/PRs/27399/clang_format/style.patch | git apply -v

Alternatively, with your repository up to date and in the top level of your repository:

git clang-format a489a53bdb58ce7053c80cbebf6e2673da28fa3b

[moosebuild]

Job Documentation on cd80e33 wanted to post the following:

View the site here

This comment will be updated on new commits.

[moosebuild]

Job Coverage on cd80e33 wanted to post the following:

Framework coverage

	4e99fa	#27399 cd80e3
	Total	Total	+/-	New
Rate	85.12%	85.11%	-0.00%	69.23%
Hits	102933	102939	+6	9
Misses	18001	18003	+2	4

Diff coverage report

Full coverage report

Modules coverage

Stochastic tools

	4e99fa	#27399 cd80e3
	Total	Total	+/-	New
Rate	90.62%	90.62%	+0.00%	100.00%
Hits	7928	7931	+3	5
Misses	821	821	-	0

Diff coverage report

Full coverage report

Full coverage reports

Reports

• framework
• chemical_reactions
• combined
• contact
• electromagnetics
• external_petsc_solver
• fluid_properties
• fsi
• functional_expansion_tools
• geochemistry
• heat_transfer
• level_set
• misc
• navier_stokes
• optimization
• peridynamics
• phase_field
• porous_flow
• ray_tracing
• rdg
• reactor
• richards
• scalar_transport
• solid_mechanics
• solid_properties
• stochastic_tools
• thermal_hydraulics
• xfem

Warnings

• framework new line coverage rate 69.23% is less than the suggested 90.0%

This comment will be updated on new commits.

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