microsoft
/
python-sklearn-clustering-cookiecutter
зеркало из https://github.com/microsoft/python-sklearn-clustering-cookiecutter.git
1
0
Форкнуть 0
Код Задачи Пакеты Проекты Релизы Вики Активность
Cookiecutter template for testing Python scikit-learn clustering learners.
7 коммитов 3 Ветки 0 Теги 38 KiB
Python 100%
Перейти к файлу
Jude Kavalam a2e59a4a6c
Merge pull request #3 from microsoft/users/GitHubPolicyService/bfa60ce4-22bb-4689-8b29-281dbabd63ca 		2022-08-22 14:04:08 -07:00
hooks Initial commit 2017-08-31 11:35:45 -07:00
{{cookiecutter.app_name}} Use Python 3.6 for conda environment. 2018-10-19 15:16:42 -07:00
.gitignore Initial commit 2017-08-31 08:54:35 -07:00
LICENSE Initial commit 2017-08-31 11:35:45 -07:00
README.md Initial commit 2017-08-31 11:35:45 -07:00
SECURITY.md Microsoft mandatory file 2022-08-17 14:53:41 +00:00
cookiecutter.json Initial commit 2017-08-31 11:35:45 -07:00

README.md

python-sklearn-clustering-cookiecutter

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

Using this template

  1. Install Cookiecutter
  2. cookiecutter gh:Microsoft/python-sklearn-clustering-cookiecutter (or cookiecutter https://github.com/Microsoft/python-sklearn-clustering-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.