Included in this release:
- Now supporting use of multiple time-series datasets to train a single model (global modelling)
- example notebook for global modelling
- data frequency argument optional - automatic detection
- improved documentation and docstrings
- support for local/individual normalization of time-series when working with multiple datasets
- introducing forgetfulness: Skew model fit towards more recent observations
- widen range of default number of epochs
- add notebook for use of live-plot-loss
- improve docstrings to show up in sphinx (API documentation)
- bugfixes