autora-theorist-bms 1.0.0a0

Bayesian Machine Scientist theorist for AutoRA

AutoRA BMS Theorist

autora-theorist-bms is a Python module built on AutoRA that can be used to discover equations that fit data.

Website: https://autoresearch.github.io/autora/

User Guide

You will need:

• python 3.8 or greater: https://www.python.org/downloads/

Install BMS as part of the autora package:

pip install -U "autora[theorist-bms]" --pre

It is recommended to use a python environment manager like virtualenv.

Check your installation by running:

python -c "from autora.theorist.bms import BMSRegressor; BMSRegressor()"

Developer Guide

Get started

Clone the repository (e.g. using GitHub desktop, or the gh command line tool) and install it in "editable" mode in an isolated python environment, (e.g. with virtualenv) as follows:

In the repository root, create a new virtual environment:

virtualenv venv

Activate it:

source venv/bin/activate

Use pip install to install the current project (".") in editable mode (-e) with dev-dependencies ([dev]):

pip install -e ".[dev]"

Run the test cases:

pytest tests/ --doctest-modules src/

Activate the pre-commit hooks:

pre-commit install

Add new dependencies

In pyproject.toml add the new dependencies under dependencies

Install the added dependencies

pip install -e ".[dev]"

Publish the package

Update the metadata under project in the pyproject.toml file to include name, description, author-name, author-email and version

• Follow the guide here: https://packaging.python.org/en/latest/tutorials/packaging-projects/

Build the package using:

python -m build

Publish the package to PyPI using twine:

twine upload dist/*