[![All Contributors](https://img.shields.io/badge/all_contributors-36-orange.svg?style=flat-square)](#contributors-)
## Contributors ✨
Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):
## Contributing Guide
This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. This Project welcomes contributions, suggestions, and feedback. All contributions, suggestions, and feedback you submitted are accepted under the [Project's license](./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](./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](https://github.com/py-why/governance/blob/main/CODE-OF-CONDUCT.md) and [trademark policy](https://github.com/py-why/governance/blob/main/TRADEMARKS.md).
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Part of MVG-0.1-beta.
Made with love by GitHub. Licensed under the [CC-BY 4.0 License](https://creativecommons.org/licenses/by-sa/4.0/).