SEAVEAtk release March 0223

This is the March 2023 release of EasyVVUQ, as part of the SEAVEAtk, with the following updates:

New features

• New Simplex Stochastic Collocation sampler for irregular outputs, e.g. with discontinuities or high gradients in the stochastic input space. Works for scalar QoI only thus far.
• Grid-Search sampler, (e.g. for neural-network hyper parameter tuning).
• HDF5 decoder to allow for reading HDF5 output files, useful when dealing with outputs of different size.

Tutorials

• SSC tutorial: https://github.com/UCL-CCS/EasyVVUQ/blob/dev/tutorials/simplex_stochastic_collocation_tutorial.ipynb
• Hyperparameter tuning tutorial, local sampling: https://github.com/UCL-CCS/EasyVVUQ/blob/dev/tutorials/hyperparameter_tuning_tutorial.ipynb
• Hyperparameter tuning tutorial, remote sampling with FabSim3: https://github.com/UCL-CCS/EasyVVUQ/blob/dev/tutorials/hyperparameter_tuning_tutorial_with_fabsim.ipynb

Usability updates

• Make it more obvious how to import a pandas dataframe containing cases to be considered
• Make it more obvious how to massage the results from the runs before performing the PCE/SC/MC analysis