Contribution are welcome! Here's a few things to know:
Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
Here are the basic steps to get started with your first contribution. Please reach out with any questions.
- Use open issues to discuss the proposed changes. Create an issue describing changes if necessary to collect feedback. Also, please use provided labels to tag issues so everyone can easily sort issues of interest.
- Fork the repo so you can make and test local changes.
- Create a new branch for the issue. We suggest prefixing the branch with your username and then a descriptive title: (e.g. gramhagen/update_contributing_docs)
- Create a test that replicates the issue.
- Make code changes.
- Ensure unit tests pass and code style / formatting is consistent (see wiki for more details).
- Create a pull request against staging branch.
Note: We use the staging branch to land all new features, so please remember to create the Pull Request against staging.
Once the features included in a milestone are complete we will merge staging into master and make a release. See the wiki for more detail about our merge strategy.
We strive to maintain high quality code to make the utilities in the repository easy to understand, use, and extend. We also work hard to maintain a friendly and constructive environment. We've found that having clear expectations on the development process and consistent style helps to ensure everyone can contribute and collaborate effectively.
Please review the coding guidelines wiki page to see more details about the expectations for development approach and style.
This project has adopted the Microsoft Open Source Code of Conduct.
For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.
Apart from the official Code of Conduct developed by Microsoft, in the Recommenders team we adopt the following behaviors, to ensure a great working environment:
Let’s be constructive.
Click here to see some examples
"This method is missing docstrings" instead of "YOU forgot to put docstrings".
When making code reviews, try to support your ideas based on evidence (papers, library documentation, stackoverflow, etc) rather than your personal preferences.
Click here to see some examples
"When reviewing this code, I saw that the Python implementation the metrics are based on classes, however, scikit-learn and tensorflow use functions. We should follow the standard in the industry."
Try to be empathic.
Click here to see some examples
- Would it make more sense if ...?
- Have you considered this ... ?