pyAgrum.causal documentation

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.

Note

As it can be seen in the figure above, pyAgrum.causal module uses a LaTeX special arrow (\(\hookrightarrow\)) to compactly represent an intervention. If you prefer the classical “do” notation, you can change this behavior by using:

gum.config["causal","latex_do_prefix"]="do("
gum.config["causal","latex_do_suffix"]=")"

Tutorials

• Notebooks on causality in pyAgrum.

• Some implemented examples from the book of Why from Judea Pearl and Dana Mackenzie.

Reference

• Causal Model
  • CausalModel
    • CausalModel.addCausalArc()
    • CausalModel.addLatentVariable()
    • CausalModel.arcs()
    • CausalModel.backDoor()
    • CausalModel.causalBN()
    • CausalModel.children()
    • CausalModel.eraseCausalArc()
    • CausalModel.existsArc()
    • CausalModel.frontDoor()
    • CausalModel.idFromName()
    • CausalModel.latentVariablesIds()
    • CausalModel.names()
    • CausalModel.nodes()
    • CausalModel.observationalBN()
    • CausalModel.parents()
    • CausalModel.toDot()
• Causal Formula
  • CausalFormula
    • CausalFormula.cm
    • CausalFormula.copy()
    • CausalFormula.eval()
    • CausalFormula.latexQuery()
    • CausalFormula.root
    • CausalFormula.toLatex()
• Causal Inference
  • causalImpact()
  • doCalculusWithObservation()
  • identifyingIntervention()
• Other functions
  • backdoor_generator()
  • frontdoor_generator()
• Abstract Syntax Tree for Do-Calculus
  • Internal node structure
    • ASTtree
    • ASTBinaryOp
  • Basic Binary Operations
    • ASTplus
    • ASTminus
    • ASTdiv
    • ASTmult
  • Complex operations
    • ASTsum
    • ASTjointProba
    • ASTposteriorProba
• Exceptions
  • HedgeException
    • HedgeException.args
  • UnidentifiableException
    • UnidentifiableException.args
• Notebook’s tools for causality
  • getCausalImpact()
  • getCausalModel()
  • showCausalImpact()
  • showCausalModel()