The existing documentation does not explicitly frame abstraction levels as a concept. Functionality for customizing inference is currently scattered across:
docs/tutorials/00_getting_started.ipynb - Basic usage only
docs/how_to_guide/03_density_estimators.ipynb - Customization with posterior_nn()
docs/advanced_tutorials/18_training_interface.ipynb - Custom training loops
Missing: A unified guide showing the progression from simple to advanced API usage and when to use each level.
The existing documentation does not explicitly frame abstraction levels as a concept. Functionality for customizing inference is currently scattered across:
docs/tutorials/00_getting_started.ipynb- Basic usage onlydocs/how_to_guide/03_density_estimators.ipynb- Customization withposterior_nn()docs/advanced_tutorials/18_training_interface.ipynb- Custom training loopsMissing: A unified guide showing the progression from simple to advanced API usage and when to use each level.