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v0.10: New user guide, causal prediction API, and two more refutations
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@amit-sharma amit-sharma released this 30 Jul 13:54
· 120 commits to main since this release
v0.10
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Learn about vigilant mode.
  • Introducing an updated user guide for navigating the world of causality. The user guide is a great resource to learn about the different causal tasks, which ones may be relevant for you, and how to implement them using DoWhy.
  • Causal prediction is the latest task supported by DoWhy! Try out the prediction notebook by @jivatneet
  • A new technique for validating causal graphs. Check out the notebook by @eeulig
  • New refutation: Overrule for learning boolean rules to describe support of the data/overlap between treatment and control groups in the data. Check out the notebook by @moberst
  • Added a new method to estimate intrinsic causal influences for a single sample.
  • Refactor of estimator API that allows separate fit and estimate methods
  • Several optimizations and speed-ups of GCM methods
  • Python 3.11 support and a simpler dependency list

A big thanks to all the contributors. @AlxndrMlk @amit-sharma @andresmor-ms @bloebp @darthtrevino @eeulig @eltociear @emrekiciman @jivatneet @kbattocchi @Klesel @MFreidank @MichaelMarien @moberst @Padarn @petergtz @RoseDeSicilia26 @sgrimbly @vspinu @yoshiakifukushima @Zethson

Contributors

darthtrevino, Padarn, and 19 other contributors
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