Release 1.2.0 - major updates for scaling methods
Update repository by content described in our IV 2021 paper: "Bayesian Confidence Calibration for Epistemic Uncertainty Modelling"
- Bayesian confidence calibration: train and infer scaling methods using variational inference (VI) and MCMC sampling
- New metrics: MMCE and PICP
- New regularization methods: MMCE and DCA
- Updated examples
- Switched license from MPL2 to APL2