Changelog#

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog (+ the Migration Guide), and this project adheres to Semantic Versioning.

[0.3.0] - 2024-04-23#

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 (https://github.com/mobilise-d/mobgap/pull/119)
A evaluation pipeline for GSD (https://github.com/mobilise-d/mobgap/pull/124)
ML based LR classification (https://github.com/mobilise-d/mobgap/pull/106)
A evaluation/optimization pipeline for LRC (https://github.com/mobilise-d/mobgap/pull/106)

The loaded reference data now has stricter dtypes (https://github.com/mobilise-d/mobgap/pull/119)
Renamed LRD (left-right-detection) to LRC (left-right-classification) (https://github.com/mobilise-d/mobgap/pull/106)
For GSD and IC evaluation metrics it is now possible to configure what happens in case of 0-division (https://github.com/mobilise-d/mobgap/pull/127)

Loading the reference data from a trial without identified WBs will not raise an error anymore, but will correctly return an empty DataFrame (https://github.com/mobilise-d/mobgap/pull/119)
We use operating system independent pandas dtypes everywhere (https://github.com/mobilise-d/mobgap/pull/118)

Initial Release