Releases: htjb/globalemu
Releases · htjb/globalemu
globalemu v1.8.1
globalemu v1.8.0
globalemu v1.7.3
globalemu v1.7.2
What's Changed
- Flush prints during network training by @ThomasGesseyJones in #14
- Better early stopping by @htjb in #15
- Version increment and Release workflows by @ThomasGesseyJones in #16
- Check Tag and Release by @ThomasGesseyJones in #17
- Fix? Tag and Release by @ThomasGesseyJones in #18
Full Changelog: v1.6.0...v1.7.2
globalemu v1.6.0
Includes a few bug updates and updated early stopping based on the test loss.
globalemu v1.5.0 release
Stable release:
- Added code so that users can train with their own custom loss functions built with tensforlow's keras backend.
globalemu v1.4.0 release
Stable release:
- Added greater freedoms for the user to the preprocessing of the data via the new kwargs
AFB
,resampling
andstd_division
. - Modified testing and documentation accordingly.
globalemu v1.3.0 release
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.
globalemu v1.2.0 release
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.
globalemu v1.1.1 release
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