This release aims to facilitate getting started with SOBER by providing a central interface that easily allows using all the customization options with SOBER without unexpected bugs. The same interface allows for extension of SOBER with popular Bayesian Optimization techniques with minimal code. The following techniques have been added using this interface:
- Expectation Propagation
- BOLFI
- inverse modelling
Changes from v2.0:
- hotfix for Python import logic