github py-why/dowhy v0.2
CATE estimation and integration with EconML

latest releases: v0.10.1, v0.10, v0.9.1...
4 years ago

This release includes many major updates:

  • (BREAKING CHANGE) The CausalModel import is now simpler: "from dowhy import CausalModel"
  • Multivariate treatments are now supported.
  • Conditional Average Treatment Effects (CATE) can be estimated for any subset of the data. Includes integration with EconML--any method from EconML can be called using DoWhy through the estimate_effect method (see example notebook).
  • Other than CATE, specific target estimands like ATT and ATC are also supported for many of the estimation methods.
  • For reproducibility, you can specify a random seed for all refutation methods.
  • Multiple bug fixes and updates to the documentation.

Includes contributions from @j-chou, @ktmud, @jrfiedler, @shounak112358, @Lnk2past. Thank you all!

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