1. Introduction
  2. Installation
  3. Schlandals Modelization
    1. Bayesian Networks
      1. Model Description
      2. Dimacs file format
      3. UAI file format
    3. Probabilistic Graphs
      1. Model Description
      2. Dimacs file format
      3. PG file format
  5. Performing the Inference
    1. Search solver
    2. Compiler
  7. Learning Distributions Parameters
    1. Learning Settings
  9. Python Interface