CompatHelper: bump compat for OptimizationOptimJL to 0.3 for package docs, (keep existing compat)

SciML / DiffEqFlux.jl

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

https://docs.sciml.ai/DiffEqFlux/stable

MIT License

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CompatHelper: bump compat for OptimizationOptimJL to 0.3 for package docs, (keep existing compat) #923

Closed github-actions[bot] closed 4 months ago

github-actions[bot] commented 4 months ago

This pull request changes the compat entry for the OptimizationOptimJL package from 0.2 to 0.2, 0.3 for package docs. This keeps the compat entries for earlier versions.

Note: I have not tested your package with this new compat entry. It is your responsibility to make sure that your package tests pass before you merge this pull request.