Learn how to call the identify_effect method of the CausalModel class

[scheurich-sarah]

Identifying the target estimand is the second step in doWhy's causal process. It requires an established causal model, particularly the graph, to determine paths to the outcome. Lean the keyword args and the four identification criteria: Back-door criterion, Front-door criterion, Instrumental Variables, and Mediation.

#103

[scheurich-sarah]

Implemented vanilla causal framework on a built-in doWhy data set. All built in data sets come with structural causal models already encoded. This implementation follows the starter notebook ConfoundingExample on the doWhy website. This starter notebook seemed most relevant as it uses regression and explores data looking for confounders. Documented in the notebook the nuances of the identify_effect methods of the CausalModel class from exploring source code.