v0.3.0 - Continuous Improvements

[0.3.0] - 2024-04-23

Added

• All dataset class have a new property called data_ss referring to the single sensor that should be used in the
  algorithms.
  This was added to move all data related config (i.e. which sensor to use in a pipeline) to the dataset class, making
  it easier to implement dataset agnostic pipelines (#119)
• A evaluation pipeline for GSD (#124)
• ML based LR classification (#106)
• A evaluation/optimization pipeline for LRC (#106)

Changed

• The loaded reference data now has stricter dtypes (#119)
• Renamed LRD (left-right-detection) to LRC (left-right-classification) (#106)
• For GSD and IC evaluation metrics it is now possible to configure what happens in case of 0-division
  (#127)

Fixed

• Loading the reference data from a trial without identified WBs will not raise an error anymore, but will correctly
  return an empty DataFrame (#119)
• We use operating system independent pandas dtypes everywhere (#118)

Development

• RTD previews are now build for PRs.