enviPy-bayer

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liambrydon 376fd65785 [Feature] ML model caching for reducing prediction overhead (#156 )

The caching is now finished. The cache is created in `settings.py` giving us the most flexibility for using it in the future.

The cache is currently updated/accessed by `tasks.py/get_ml_model` which can be called from whatever task needs to access ml models in this way (currently, `predict` and `predict_simple`).

This implementation currently caches all ml models including the relative reasoning. If we don't want this and only want to cache enviFormer, i can change it to that. However, I don't think there is a harm in having the other models be cached as well.

Co-authored-by: Liam Brydon <62733830+MyCreativityOutlet@users.noreply.github.com>
Reviewed-on: enviPath/enviPy#156
Co-authored-by: liambrydon <lbry121@aucklanduni.ac.nz>
Co-committed-by: liambrydon <lbry121@aucklanduni.ac.nz>

2025-10-16 08:58:36 +13:00

views

[Feature] Alias Support (#151 )

2025-10-09 23:14:34 +13:00

__init__.py

Current Dev State

2025-06-23 20:13:54 +02:00

test_compound_model.py

[Chore] Linted Files (#150 )

2025-10-09 07:25:13 +13:00

test_copy_objects.py

[Chore] Linted Files (#150 )