uncertainty

tiatoolbox . models . engine . uncertainty

Uncertainty Quantification with Monte Carlo (MC Dropout).

Gal & Ghahramani (2015), used by Policastro (2020) WSI analysis project. The main entry point is BayesianModelWrapper.

Functions

decompose_uncertainty

Decompose MC-Dropout uncertainty into epistemic and aleatoric terms.