Skip to main content

cegpy

contributions welcomeDocumentation StatusAll Contributors

Cegpy (/segpaɪ/) is a Python package for working with Chain Event Graphs. It supports learning the graphical structure of a Chain Event Graph from data, encoding of parametric and structural priors, estimating its parameters, and performing inference.

It is built on top of the Python network modelling package NetworkX.

Documentation

Documentation is hosted on read the docs.

We have also written a paper to explain the statistical methods and algorithms included in the package; ARXIV - cegpy: Modelling with Chain Event Graphs in Python.

Quickstart

If you'd like to get started using the packages, the best place to start is the quick-start documentation.

Example Binder

Use cases have been demonstrated in a binder.

The following image is an example of a chain event graph that is produced by this package:

Image

Contributors ✨

Thanks goes to these wonderful people (emoji key):


Aditi Shenvi

💻 ⚠️ 🐛 📆

Gareth Walley

💻 📖 🎨 ⚠️ 🚧

Kasia Kobalczyk

💻 🐛 ⚠️

Peter Strong

💻 🐛 💡 ⚠️

This project follows the all-contributors specification. Contributions of any kind welcome!

Metadata

Release files for cegpy 1.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for cegpy 1.1.0
File Size Uploaded Provenance Actions
cegpy-1.1.0.tar.gz 25.7 kB Without provenance Details for cegpy-1.1.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for cegpy 1.1.0
File Interpreter ABI Platform Actions
cegpy-1.1.0-py3-none-any.whl Python 3 none any Details for cegpy-1.1.0-py3-none-any.whl

Total release size: 52.6 kB

Release files / cegpy-1.1.0.tar.gz

Download URL cegpy-1.1.0.tar.gz
Size 25.7 kB
Tags Source
SHA-256 checksum
How to use checksums
6584eed420fd29c3488314efc9c2bb2d0efb130e7b05b65926557f253f9e32e4
BLAKE2b-256 checksum
How to use checksums
7b9898df9883bb31face31fc0abd7c16c8d5b876d4519f980a44a6c84ba65a8a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.9.17

Release files / cegpy-1.1.0-py3-none-any.whl

Download URL cegpy-1.1.0-py3-none-any.whl
Size 26.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b2a66fb15d41cfad0995e9420b9817ee79adf711be90e9efa67a227e30639611
BLAKE2b-256 checksum
How to use checksums
c470f31438ab3b8a3433dd30e3e8817343ae4eebd963e49ea79f43b1461d524f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.9.17

Security for cegpy 1.1.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page