PSense

Tutorials

• Tutorial 1: Modeling Conditional Distribution

  This tutorial introduces the basic features of PSense.

• Tutorial 2: Gradient Descent

  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 PSense’s sampling backend to do approximate sensitivity analysis. The approximate analysis runs faster but is not so accurate.