This repository is a quick start template for new photonai modules. To get started simply follow these steps:
- Klick "Use this template" button
- Fill in details for the new photonai module
- Wait for the repository to be created
- Wait for the Github Actions to run once
- As soon as the "✅ Ready to clone and code." commit appears in your repository you are ready to start coding
- (optional) Remove "rename_project.yml" workflow from .github/workflows
- (optional) Remove "rename_project.sh" from .github
- Remove this how to section from readme
- Code testing and coverage calculation (if coveralls secret COVERALLS_REPO_TOKEN is set)
- Continous Integration for testing and documentation updates based on Github Actions.
- MkDocs-Material based documentation template
- Photonai compatible init.py with boilerplate code for registration of new module
- pbr based auto-versioning for python releases
- blueprint action for pypi publishing (on github release)
In order to add a new Algorithm / Feature to your project you can follow the steps below. By providing unit tests, a documentation and an example you maximize code quality and usability of your module.
- Develop your algorithm
- Test your algorithms in a respective test file in the
test
folder - Document algorithms in the
docs
folder by copying and adapting the provided .md file - Provide an example on how to use your algorithms in an appropriately named file in the examples folder.
We suggest releasing via the github website. Simply create a release and an according tag. The tag is then used as version number and (if configured) the desired version is immediately build and released on pypi.
Documentation avaiable at: Documentation