https://github.com/microsoft/python-sklearn-regression-cookiecutter
Cookiecutter template for testing Python scikit-learn regression learners.
https://github.com/microsoft/python-sklearn-regression-cookiecutter
cookiecutter machine-learning python scikit-learn template
Last synced: about 2 months ago
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Cookiecutter template for testing Python scikit-learn regression learners.
- Host: GitHub
- URL: https://github.com/microsoft/python-sklearn-regression-cookiecutter
- Owner: microsoft
- License: mit
- Created: 2017-08-31T15:56:17.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2023-06-12T19:39:27.000Z (about 3 years ago)
- Last Synced: 2026-04-17T22:33:01.185Z (about 2 months ago)
- Topics: cookiecutter, machine-learning, python, scikit-learn, template
- Language: Python
- Size: 619 KB
- Stars: 16
- Watchers: 11
- Forks: 16
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Security: SECURITY.md
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README
# python-sklearn-regression-cookiecutter
A [Cookiecutter](http://cookiecutter.readthedocs.io/) template for a
[Python](https://www.python.org/) application that demonstrates the use of
[scikit-learn](http://scikit-learn.org/) regression learners.
## Using this template
1. [Install Cookiecutter](http://cookiecutter.readthedocs.io/en/latest/installation.html)
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](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.