Daml

🚧 **Deprecations and Removals**
- `5cc48bec` - Divergence metric naming corrected to HP Divergence

Divergence metric output now returns a dictionary of `{ "divergence": float, "error": int }` instead of `{ "dpdivergence": float, "error": int }`. Code, documentation and tutorials have been updated to the correct nomenclature of HP (Henze-Penrose) divergence.

🌟 **Feature Release**
- `41b20d3a` - Add rules for release label pipeline workflow and merge request release template

🛠️ **Improvements and Enhancements**
- `7ee53c9c` - Update Divergence default to MST

🛠️ **Improvements and Enhancements**
- `1468aa5c` - Switch to markdown and updated docs

🛠️ **Improvements and Enhancements**
- `670a0db5` - Add support for classwise Sufficiency metrics
- `b96ee099` - Have sufficiency train and eval functions take indices and batch size instead of a DataLoader

🛠️ **Improvements and Enhancements**
- `5225c491` - Change output classes to dictionaries
- `45040682` - Make Sufficiency a stateful class and revise SufficiencyOutput
- `7c5fdcff` - Pass method as a parameter to determine metric algorithm to use
- `2e883f6d` - Add better optimizer to find global minimum
- `c3c78680` - Expose AETrainer to public API to use model multiple times after training

👾 **Fixes**
- `93564b95` - Updating pyproject.toml and lock file to set dependency less than numpy 2.0

🛠️ **Improvements and Enhancements**
- `601cfae8` - Sufficiency Plotting of Multiple Metrics during one run
- `3d68a6f1` - Add parameter to plot function for optional file output

🚧 **Deprecations and Removals**
- `a6ce3e72` - Remove UAP_MST metric