Basics of FastPGM

FastPGM is a library for probabilistic graphical models (PGMs) and involves all the important tasks related to PGMs, including structure learning, parameter learning and inference. Here we provide some basic terminology and concepts.

• Probabilistic Graphical Model
  • Bayesian Network
  • Markov Random Field
• Structure Learning
  • Score-based Methods
  • Constraint-based Methods
    • PC-stable
• Inference