Primary changes
This version of EQUINE updates the base, GP, and Protonet Equine models to be able to record `feature_names` and `label_names`, which are important when using the webapp for prediction visualization. The tests also check that the OOD scores remain the same after saving and loading a model. The example notebooks are updated to show how to use the new features.
What's Changed
* Bump pypa/gh-action-pypi-publish from 1.9.0 to 1.10.0 by dependabot in https://github.com/mit-ll-responsible-ai/equine/pull/65
* Bump pypa/gh-action-pypi-publish from 1.10.0 to 1.10.1 by dependabot in https://github.com/mit-ll-responsible-ai/equine/pull/67
* Update numpy requirement from <=2.1.0,>=1.22.0 to >=1.22.0,<=2.1.1 by dependabot in https://github.com/mit-ll-responsible-ai/equine/pull/66
* Update hypothesis requirement from <6.112.0,>=6.105.0 to >=6.105.0,<6.113.0 by dependabot in https://github.com/mit-ll-responsible-ai/equine/pull/68
* Bump pypa/gh-action-pypi-publish from 1.10.1 to 1.10.2 by dependabot in https://github.com/mit-ll-responsible-ai/equine/pull/70
* Feature label names by harryli0088 in https://github.com/mit-ll-responsible-ai/equine/pull/69
* added vis_support=true to GP train_model in toy example notebook by harryli0088 in https://github.com/mit-ll-responsible-ai/equine/pull/71
New Contributors
* harryli0088 made their first contribution in https://github.com/mit-ll-responsible-ai/equine/pull/69
**Full Changelog**: https://github.com/mit-ll-responsible-ai/equine/compare/v0.1.4...v0.1.5