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[Major] Faster backdoor identification with support for minimal adjustment, maximal adjustment
or exhaustive search. More test coverage for identification. -
[Major] Added new functionality of causal discovery [Experimental].
DoWhy now supports discovery algorithms from external libraries like CDT.
Example notebook -
[Major] Implemented ID algorithm for causal identification. [Experimental]
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Added friendly text-based interpretation for DoWhy's effect estimate.
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Added a new estimation method, distance matching that relies on a distance
metrics between inputs. -
Heuristics to infer default parameters for refuters.
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Inferring default strata automatically for propensity score stratification.
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Added support for custom propensity models in propensity-based estimation
methods. -
Bug fixes for confidence intervals for linear regression. Better version of
bootstrap method. -
Allow effect estimation without need to refit the model for econml estimators
Big thanks to @AndrewC19, @ha2trinh, @siddhanthaldar, and @vojavocni