DoWhy 0.9 includes some exciting new extensions and features, including better sensitivity analyses, new identification algorithms, and more. I'm particularly excited to see so many new contributors joining in on this release!
#causality #causalinf #causaltwitter
#causality #causalinf #causaltwitter
Ezequiel Smucler (@hazqiyal) adds an identification algorithm to find optimal backdoor adjustment sets that yield estimators with smallest asymptotic variance
pywhy.org/dowhy/v0.9/exa…
pywhy.org/dowhy/v0.9/exa…
Jeffrey Gleason adds e-value sensitivity analysis pywhy.org/dowhy/v0.9.1/e…
and Anusha0409 adds sensitivity analysis for non-parametric estimators: pywhy.org/dowhy/v0.9.1/e…
and Anusha0409 adds sensitivity analysis for non-parametric estimators: pywhy.org/dowhy/v0.9.1/e…
@PatrickBloebaum and @kailashbuki improve the GCM module with a new API for unit change attribution, support for modeling FCMs with auto-gluon, and more!
https://twitter.com/PatrickBloebaum/status/1601241948706074626
Egor Kraev added support for EconML's multi-treatment estimators; and @amt_shrma added support for estimating direct effects (previously had been total effect)
Plus, many expensive refutations now run in parallel, making them much faster (Thanks Andreas Stöffelbauer and Amey Verhade!) and as of DoWhy 0.9.1, DoWhy has cleaned up dependencies and supports python 3.10
See more in our release notes: github.com/py-why/dowhy/r…
If you want to see your favorite algorithm or feature in the next version of DoWhy, we have a contributor's guide (thanks to Michael Marien!) github.com/py-why/dowhy/b…
Open for discussions at our Discord and in GitHub issues
If you want to see your favorite algorithm or feature in the next version of DoWhy, we have a contributor's guide (thanks to Michael Marien!) github.com/py-why/dowhy/b…
Open for discussions at our Discord and in GitHub issues
3.10 support thanks to @darthtrevino!
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