Tutorials on pyAgrum
Exact and Approximated Inference
Learning Bayesian networks
Different Graphical Models
Bayesian networks as scikit-learn compliant classifiers
Causal Bayesian Networks
pyAgrum’s specific features
Examples
Examples from ‘The Book of Why’ (J. Pearl, 2018)
MiniTuring (p46)
Smallpox Paradox (p50)
Where is my Bag ? (p115)
Walking Example (p135)
Back-Door Criterion (p150)
Smoking (chapter 5)
Monty Hall Problem (p178)
Do-Calculus (p213)
The Curious Case(s) For Dr. Snow (p224)
Good and Bas Cholesterol (p229)
The Effect of Education and Experience on Salary (p251)