v1.0.0
Added
- Examples for documentation
- Sections for Filters and Tutorials in README
- Example scripts for training models and dataset creation
- Enhanced documentation structure with autosummary for datasets and filters
- Unit tests for core functionality
Changed
- Bump version to 1.0.0 and add pydata-sphinx-theme dependency
- Updated model definitions to indicate archival status
- Replaced pytorch_lightning with lightning
- Enhanced documentation for VirtualHandKinematics class by adding reference to MyoGestic
- Refactored activation function documentation and improved loss calculation formatting
- Enhanced dataset creation and loading by improving EMG dataset handling
- Added empty data checks and refined augmentation pipelines
- Refactored dataset creation with new CustomDataClass
- Enhanced EMG dataset loading to support Zarr files with improved validation
- Enhanced filter configurations by adding input_is_chunked parameter
- Improved EMGAugmentation class with additional parameters and better documentation
- Improved spatial filter API
- Enhanced filter methods to accept additional keyword arguments
- Enhanced layout algorithm for EMG visualizations with topological sorting and improved node positioning
Full Changelog: v0.1.0...v1.0.0