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Probabilistic modeling framework to define, experiment with, and critique models in service of iterating through Box's loop.

Project description

thunderpath

Probabilistic modeling framework to define, experiment with, and critique models in service of iterating through Box's loop.

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Documentation: https://cameronraysmith.github.io/thunderpath/

Source Code: https://github.com/cameronraysmith/thunderpath


Usage

thunderpath is pre-development. Please see the document outlining the specification proposal.

Installation

python -m pip install "thunderpath @ git+https://github.com/cameronraysmith/thunderpath.git@main"

Development

Setup environment

We use hatch to manage the development environment and production build. Ensure it's installed on your system. It is often convenient to do this with pipx.

Run unit tests

You can run all the tests with:

hatch run test

Format the code

Execute the following command to apply linting and check typing:

hatch run lint

Publish a new version

You can check the current version with:

hatch version

You can bump the version, create a commit and associated tag with one command such as hatch version patch or minor or major. Your git default text editor will open so you can add information about the release.

When you push the tag on github, the workflow will automatically publish it on PyPI and a github release will be created as draft.

Serve the documentation

You can serve the mkdocs documentation with:

hatch run docs-serve

It'll automatically watch for changes in your code.

License

This project is licensed under the terms of the GNU Affero 3.0-only license.

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