A Python toolbox for uncertainty quantification and sensitivity analysis tailored to perform uncertainty quantification and sensitivity analysis of neuroscience models.
1.0.0
All features intended for the first version of Uncertainpy are completed, which includes quasi-Monte Carlo methods for sensitivity analysis.
0.9.4
0.9.3
Fixes issue 14, proper handling of `model.ignore`, and better validation and error handling of model and feature evaluations.