Python implementation of Recursive Bayesian Networks
Project description
Recursive Bayesian Networks
The Python rbnet
package providing implementations of Recursive Bayesian Networks.
Lieck R, Rohrmeier M (2021) Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks. In: Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
@inproceedings{lieck2021RBN,
title = {Recursive {{Bayesian Networks}}: Generalising and {{Unifying Probabilistic Context}}-{{Free Grammars}} and {{Dynamic Bayesian Networks}}},
booktitle = {Proceedings of the 35th {{Conference}} on {{Neural Information Processing Systems}} ({{NeurIPS}} 2021)},
author = {Lieck, Robert and Rohrmeier, Martin},
year = {2021},
}
If you are looking for the code to reproduce the results from the NeurIPS 2021 paper, have a look at the NeurIPS 2021 branch with or without data.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
rbnet-0.0.1.tar.gz
(26.8 kB
view details)
Built Distribution
rbnet-0.0.1-py3-none-any.whl
(27.1 kB
view details)
File details
Details for the file rbnet-0.0.1.tar.gz
.
File metadata
- Download URL: rbnet-0.0.1.tar.gz
- Upload date:
- Size: 26.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6b6aea8b22f82292a60e4c89d120ffc7af016d140ee7f1a9e1f6ed6db00cc0ef |
|
MD5 | a5650df6f412b14e7e00a64fb0e342f3 |
|
BLAKE2b-256 | 596706eb2510679125d024e75f3b97e2054e46d58c02547ba5190c6d775b3198 |
File details
Details for the file rbnet-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: rbnet-0.0.1-py3-none-any.whl
- Upload date:
- Size: 27.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c1e2d876cc473f52ea8578014f5f2455b204a86c49a9522026a8cb8f6269914c |
|
MD5 | d158bfb478846a861603b24b3ae73d26 |
|
BLAKE2b-256 | f86b329a2ca2b041246c6d5d6463f1f1683fa69a0185c887c2e0971850b294c2 |