Python ML template

A simple template to bootstrap Python machine learning projects, maintaining a standard structure. It should be slightly faster than starting from scratch each time.

Getting Started

To use this template, follow these steps:

1. Click the "Use this template" button at the top of the repository and follow the procedure.

2. Clone your new repository to your local machine:

   git clone https://github.com/your-username/your-repo.git

3. Navigate to the project directory. Optional but recommended: create and activate a Python virtual environment to isolate your project's dependencies. E.g.:

   cd your-repo
   python -m venv .venv
   source .venv/bin/activate  # On Windows, use .venv\Scripts\activate

4. The template provides a simple "self-destructing" initialization script, init.py, that automatically provides the necessary information to generate a fully functional python package (project name, author, ...). From a python environment, or any other means, this script can be launched as easily as:

   # launch and follow the prompts
   python init.py

5. Install the required dependencies:

    # Install the bare minimum, editable is usually preferred when developing
   pip install -e .
   # Install extras
   pip install -e .[dev,docs,test]

6. You're good to go! Of course, you can further customize it to your liking.

Note

The init.py script is self-contained and will delete itself once the procedure is completed. It is absolutely safe to delete if you prefer to edit the files manually.

Extra goodies

If you are using VS Code as your editor of choice, you can use the following snippet in your settings.json file to format and sort imports on save.

{
    "[python]": {
        "diffEditor.ignoreTrimWhitespace": false,
        "editor.wordBasedSuggestions": "off",
        "editor.formatOnSave": true,
        "editor.codeActionsOnSave": {
            "source.organizeImports": "explicit"
        },
        "editor.defaultFormatter": "charliermarsh.ruff",
    },
}

Of course, this is completely optional.