v0.4.1

Inference Pipeline

• `predict()` is now a pure low-level method — eval mode and gradient context are the caller's responsibility
• `inference_on_waveform()` automatically manages eval mode and restores training state via the new `@eval_mode` decorator
• Added `ValueError` for non-1D input in `inference_on_waveform()`
• New `utils/decorators.py` with `eval_mode` decorator using `try/finally` for guaranteed state restoration

Evaluator

• Fixed O(n²) `np.concatenate` — results now accumulate in lists and are concatenated once after the loop
• Replaced `torch.no_grad()` context manager with `@torch.inference_mode()` decorator

Trainer

• Decomposed `train()` into `train_step()`, `val_step()`, and `epoch_step()` — users can now build custom training loops around `epoch_step()`

Module Structure

• Renamed `dtos/` → `schemas/` and split into `items.py`, `predictions.py`, and `types.py`
• `BackboneName` moved to `schemas/types.py` to eliminate circular imports
• Fixed backbone registry typo: `monilenet_` → `mobilenet_`
• Suppressed `FutureWarning` from deprecated `weight_norm` in BEATs backbone

Public API

• Removed internal names (`AudioClassifierConstructor`, `BackboneConstructor`, `BACKBONES`, `POOLING`) from `all`
• `AudioClassifier` and `Backbone` are now the only exported model constructors

CI

• Added `publish.yml` workflow for automated PyPI publishing on GitHub release"

v0.4.0

1. Add Mobilenets variants from https://github.com/fschmid56/EfficientAT/
2. bump version to 0.4.0
3. Update and integrate mobilenets on testing

v0.3.7

Update readthedocs:

1. Finalize api reference
2. fixed docstrings and generated instructional example code blocks
3. add citation & contributing

v0.3.6

1. Optimize inference by leveraging bitcount and not masking

v0.3.5

1. Fix inference to calculate counts
2. Now result is fixed and the label with most occurrences and the higher mean posterior is returned

v0.3.4

1. Fix bug on inference by processing segments based on sample points and not on time duration
2. Add one test on inference
3. Version bump to 0.3.4

v0.3.3

Update README:

1. add hyperlink on uv installation
2. cache buster on python versions and pypi version

v0.3.2

1. Add badges
2. Refine installation guidelines on README
3. Version bump to 0.3.2

v0.3.1

1. Modify README by adding Inference API

v0.3.0

1. Add inference on base classifier constructor
2. add testing when pushing on main
3. remove toc from README
4. progress with readthedocs