This is a test project to play around with MLOps tools

• Github repository: https://github.com/pbr142/mlops-playground/
• Documentation https://pbr142.github.io/mlops-playground/

First, create a repository on GitHub with the same name as this project, and then run the following commands:

git init -b main
git add .
git commit -m "init commit"
git remote add origin [email protected]:pbr142/mlops-playground.git
git push -u origin main

Finally, install the environment and the pre-commit hooks with

make install

You are now ready to start development on your project! The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.

To finalize the set-up for publishing to PyPi or Artifactory, see here. For activating the automatic documentation with MkDocs, see here. To enable the code coverage reports, see here.

• Create an API Token on Pypi.
• Add the API Token to your projects secrets with the name PYPI_TOKEN by visiting this page.
• Create a new release on Github. Create a new tag in the form *.*.*.

For more details, see here.

Repository initiated with fpgmaas/cookiecutter-poetry.