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.
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.
$ 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.
$ pip install -r requirements_dev.txt
To generate documentation do, either:
$ cd docs
$ make docs html
or
$ cd docs
$ sphinx-build -M html . build
The html documentation will then be avaliable in docs/build/html/index.html
FIXME: add features
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
FAQs
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.
We found that rapid-models demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
npm now supports Trusted Publishing with OIDC, enabling secure package publishing directly from CI/CD workflows without relying on long-lived tokens.
Research
/Security News
A RubyGems malware campaign used 60 malicious packages posing as automation tools to steal credentials from social media and marketing tool users.
Security News
The CNA Scorecard ranks CVE issuers by data completeness, revealing major gaps in patch info and software identifiers across thousands of vulnerabilities.