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CONTRIBUTING.md

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All Contributors

Contributors ✨

Thanks goes to these wonderful people (emoji key):

emrekiciman
emrekiciman

💻
Amit Sharma
Amit Sharma

💻
Adam Kelleher
Adam Kelleher

💻 🖋
Tanmay Kulkarni
Tanmay Kulkarni

💻 📖
Aleksandar Jovanovic
Aleksandar Jovanovic

💻
nate giraldi
nate giraldi

📖 💻
Julen Corral
Julen Corral

💻
Baran Toppare
Baran Toppare

📖
EgorKraevTransferwise
EgorKraevTransferwise

💻
Ryan Russell
Ryan Russell

📖
MichaelMarien
MichaelMarien

💻 📖
Kailashbuki
Kailashbuki

💻 📖
Peter Götz
Peter Götz

💻 📖
Patrick Blöbaum
Patrick Blöbaum

💻 📖
Ilias Tsoumas
Ilias Tsoumas

💻
Eli Y. Kling
Eli Y. Kling

📖
Andreas Stöffelbauer
Andreas Stöffelbauer

💻
Ezequiel Smucler
Ezequiel Smucler

💻
Amey Varhade
Amey Varhade

💻
Bhargav Kowshik
Bhargav Kowshik

💻
Chris Trevino
Chris Trevino

💻
Jeffrey Gleason
Jeffrey Gleason

💻
Ikko Ashimine
Ikko Ashimine

📖
Elias
Elias

💻
Padarn Wilson
Padarn Wilson

💻
Michael Oberst
Michael Oberst

💻
Michael Klesel
Michael Klesel

💻
Moritz Freidank
Moritz Freidank

💻
St John Grimbly
St John Grimbly

💻
Lukas Heumos
Lukas Heumos

💻
Dr. Di Prodi
Dr. Di Prodi

💻
Priyadutt
Priyadutt

💻
drawlinson
drawlinson

💻
Dylan W
Dylan W

💻
Víctor Quintas-Martínez
Víctor Quintas-Martínez

💻
Rahul Shrestha
Rahul Shrestha

💻
yogabonito
yogabonito

📖
Nick Parente
Nick Parente

💻
Yangliu-SY
Yangliu-SY

💻
kmhj13
kmhj13

💻
Gregory Saldanha
Gregory Saldanha

💻

Contributing Guide

This project follows the all-contributors specification. This Project welcomes contributions, suggestions, and feedback. All contributions, suggestions, and feedback you submitted are accepted under the Project's license. You represent that if you do not own copyright in the code that you have the authority to submit it under the Project's license. All feedback, suggestions, or contributions are not confidential.

There are multiple ways to contribute to DoWhy.

You can help us make DoWhy better,

  • Adding a Jupyter notebook that describes the use of DoWhy for solving causal problems

  • Helping implement a new method for any of the four steps of causal analysis: model, identify, estimate, refute

  • Integrating DoWhy's API with external implementations for any of the four steps, so that external libraries can be called seamlessly from the identify_effect, estimate_effect or refute_estimate methods.

  • Helping extend the DoWhy API so that we can support new functionality like interpretability of the estimate, counterfactual prediction and more.

  • Helping update the documentation for DoWhy

If you would like to contribute, you can raise a pull request. If you have questions before contributing, you can start by opening an issue on Github.

The Project abides by PyWhy's code of conduct and trademark policy.


Part of MVG-0.1-beta. Made with love by GitHub. Licensed under the CC-BY 4.0 License.