Causality in pyAgrum mainly consists in the ability to build a causal model, i.e. a (observational) Bayesian network and a set of latent variables and their relation with observation variables and in the abilidy to compute using do-calculus the causal impact in such a model.
Causality is a set of pure python3 scripts based on pyAgrum’s tools.
- Notebooks on causality in pyAgrum
- Some implemented examples from the book of Why from Judea Pearl and Dana Mackenzie.