rapid-models 0.1.7

Python package (Reciprocal Data and Physics models - RaPiD-models) to support more specific, accurate and timely decision support in operation of safety-critical systems, by combining physics-based modelling with data-driven machine learning and probabilistic uncertainty assessment.

# rapid-models Python package (Reciprocal Data and Physics models - RaPiD-models) to support more specific, accurate and timely decision support in operation of safety-critical systems, by combining physics-based modelling with data-driven machine learning and probabilistic uncertainty assessment.

• Free software: GNU General Public License v3

• Documentation: https://rapid-models.readthedocs.io.

## Quickstart `sh $ git clone https://github.com/RaPiD-models/rapid_models.git $ cd rapid_models $ pip install -e . $ rapid_models --help `

To develop, test, generate documentation, etc. `sh $ pip install -r requirements_dev.txt `

To generate documentation do, either: `sh $ cd docs $ make docs html ` or `sh $ cd docs $ sphinx-build -M html . build ` The html documentation will then be avaliable in docs/build/html/index.html

## Features FIXME: add features

## Credits This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template. * [Cookiecutter](https://github.com/audreyr/cookiecutter) * [audreyr/cookiecutter-pypackage](https://github.com/audreyr/cookiecutter-pypackage)

History

0.1.0 (2021-09-21)

• First release on PyPI.