Tutorials

Tutorial 1: Modeling Conditional Distribution
This tutorial introduces the basic features of PSense.

This tutorial shows how PSense could be used in the real application: the gradient descent algorithm in machine learning.

Tutorial 3: Unknown Vending Machine
This tutorial introduces how to analyze a cognition model that outputs a continuous distribution.

Tutorial 4: Sampling Based Sensitivity Analysis
This tutorial shows how to use PSenseās sampling backend to do approximate sensitivity analysis. The approximate analysis runs faster but is not so accurate.