New version: AutoComputationalGraphTuning v0.0.8

[JuliaRegistrator]

• Registering package: AutoComputationalGraphTuning
• Repository: https://github.com/kchu25/AutoComputationalGraphTuning.jl
• Created by: @kchu25
• Version: v0.0.8
• Commit: 7d6262389ce3fd150497a7e9e9d600d516c5ca9a
• Reviewed by: @kchu25
• Reference: kchu25/AutoComputationalGraphTuning.jl@7d62623#commitcomment-177475370
• Description: Automatically tune and save the parameters/seed of any neural network constructed by Flux
• Release notes:

## Breaking changes

- setup.split_indices.train now contains train + val indices combined when combine_train_val=true (previously only contained train indices)
- setup.split_indices.val is now an empty Int[] when combine_train_val=true
_create_final_dataloaders now creates dl_test with partial=true (previously partial=false), so test evaluation no longer drops the last incomplete batch
- Added _create_eval_dataloaders — use this instead of _create_final_dataloaders when passing dataloaders to evaluate_processor, to ensure no shuffling and no dropped samples
- Minimum Julia version bumped to 1.11 or 1.12 (dropped support for earlier versions and pre-release versions like 1.13.0-alpha2)

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