YLearn
stable
  • User Guide
  • Causal Model: The Representation of Causal Structures
  • Estimator Model: Estimating the Causal Effects
  • Causal Discovery: Exploring the Causal Structures in Data
  • Policy: Selecting the Best Option
  • Interpreter: Explaining the Causal Effects
    • CEInterpreter
    • PolicyInterpreter
  • Why: An All-in-One Causal Learning API
  • References
YLearn
  • Interpreter: Explaining the Causal Effects
  • Edit on GitHub

Interpreter: Explaining the Causal Effects

To interpret the causal effects estimated by various estimator models, YLearn implements tree models CEInterpreter for causal effect interpretabilities and PolicyInterpreter for policy evaluation interpretabilities in the current version.

  • CEInterpreter
    • Class Structures
      • ylearn.effect_interpreter.ce_interpreter.CEInterpreter
        • ylearn.effect_interpreter.ce_interpreter.CEInterpreter.fit()
        • ylearn.effect_interpreter.ce_interpreter.CEInterpreter.interpret()
        • ylearn.effect_interpreter.ce_interpreter.CEInterpreter.plot()
  • PolicyInterpreter
    • Class Structures
      • ylearn.interpreter.policy_interpreter.PolicyInterpreter
        • ylearn.interpreter.policy_interpreter.PolicyInterpreter.fit()
        • ylearn.interpreter.policy_interpreter.PolicyInterpreter.interpret()
        • ylearn.interpreter.policy_interpreter.PolicyInterpreter.plot()
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