python-sklearn-regression-cookiecutter

A Cookiecutter template for a Python application that demonstrates the use of scikit-learn regression learners.

Using this template

1. Install Cookiecutter
2. cookiecutter gh:Microsoft/python-sklearn-regression-cookiecutter (or cookiecutter https://github.com/Microsoft/python-sklearn-regression-cookiecutter.git if you prefer)
3. Fill in the Cookiecutter items (see below as to what each item represents)
4. Install required Python packages as needed (these will vary based on which parts of the code you enable).

Cookiecutter items

• app_name: the name of the folder/project to create
• create_vs_project: y to create a Visual Studio project file (.pyproj)

Contributing

This project welcomes contributions and suggestions. 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.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.