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.
Release files for rbnet 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rbnet-0.0.1.tar.gz | 26.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rbnet-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 53.9 kB
Release files / rbnet-0.0.1.tar.gz
| Download URL | rbnet-0.0.1.tar.gz |
|---|---|
| Size | 26.8 kB |
| Tags | Source |
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Release files / rbnet-0.0.1-py3-none-any.whl
| Download URL | rbnet-0.0.1-py3-none-any.whl |
|---|---|
| Size | 27.1 kB |
| Tags | Python 3 |
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