Osl-dynamics

PyPI release: https://pypi.org/project/osl-dynamics/1.1.2/.

This release contains small tweaks that generally improve training stability.

Changes:
- Rewrote initialisation of observation model parameters.
- Added methods for different initialisation options.
- Add a small error to covariance matrices to improve training stability (avoids cholesky decomposition/KL loss error.)
- Fixed specification of the inverse wishart prior regularisation for covariance matrices.

PyPI release: https://pypi.org/project/osl-dynamics/1.1.1/.

Changes:
- Bug in the initialisation of mode means/covariance was fixed.
- Added regularisers for observation model parameters (mean vectors, covariance/correlation matrices).
- Added option to pass the osl_dynamics.data.Data object to train/evaluate a model.
- Worked on the HMM model: simulation example now complete; real data example is still a work in progress.
- Added dynemo.Model.random_subject_initialization.
- Renamed:
- hmm.alpha -> hmm.gamma.
- DyNeSt -> State-DyNeMo.
- dynemo.Model.initialize -> multistart_initialization.
- inference.modes.time_courses -> inference.modes.argmax_time_courses.

PyPI release: https://pypi.org/project/osl-dynamics/1.1.0/.

Changes:
- Installation: we now support python 3.10 and tensorflow 2.9.
- Data object improvements: load txt; loading from memmap optional.
- Models: subject embedding model added; added regularisation for observation model parameters.
- Parameter initialisation: added a small random error to the identity matrix that's used to initialise covariances.
- Examples: new simulation and fMRI examples.
- Analysis: refactored GMM connectivity thresholding.

Note there is a bug in the initialisation of the mode means/covariances. They are initialised to normally distributed random numbers, this is an issue if you can not learning the mode means/covariances. This is fixed in v1.1.1.

First public release on pypi: https://pypi.org/project/osl-dynamics/1.0.0/.

Note: the wheel osl_dynamics-1.0.0-py3-none-any.whl was a bad build (did not include the files in osl_dynamics.files), so an additional wheel osl_dynamics-1.0.0-1-py3-none-any.whl which pip will install by default was also uploaded.