Globalemu

Stable release:

- Added greater freedoms for the user to the preprocessing of the data via the new kwargs `AFB`, `resampling` and `std_division`.
- Modified testing and documentation accordingly.

Stable release:

- Redesigned GUI so that it relies on configuration files associated with trained instances of the emulator. This provides a new level of flexibility in that a GUI configuration file can be produced for any trained model and that trained model can subsequently be explored with the GUI.
- Added relevant docs and testing for the new functionality.

Stable release:

- Added functionality such that multiple sets of parameters can be emulated with one call to the emulator as opposed to via a set of calls in a for loop.
- Added a function to plot the mean, 95th percentile and worst emulations from a set of input parameters and corresponding signals so that users can easily assess the quality of the training.
- Restructuring of cmSim.py.
- Additional tutorials and tests for new functionality.

Stable release:
- Updated GUI to be more compact
- Corrected GUI slider ranges
- Added more detail to README and docs about the released models
- Corrected spelling mistake in kwarg error reporting

Stable release subject to minor changes and bug fixes.

Stable pre-release subject to potential minor changes.