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8 changes: 7 additions & 1 deletion README.md
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# PyBBN

[![Join the chat at https://gitter.im/dataflava/py-bbn](https://badges.gitter.im/dataflava/py-bbn.svg)](https://gitter.im/dataflava/py-bbn?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

PyBBN is Python library for Bayesian Belief Networks (BBNs) exact inference using the
[junction tree algorithm](https://en.wikipedia.org/wiki/Junction_tree_algorithm) or Probability
Propagation in Trees of Clusters. The implementation is taken directly from [C. Huang and A. Darwiche, "Inference in
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Make sure you [install GraphViz](https://graphviz.gitlab.io/download/) on your system.

* CentOS: `yum install graphviz*`
* Ubuntu: `sudo apt-get install libgraphviz-dev`
* Ubuntu: `sudo apt-get install graphviz libgraphviz-dev`
* Mac OSX: `brew install graphviz` and when you install pygraphviz `pip install pygraphviz --install-option="--include-path=/usr/local/lib/graphviz/" --install-option="--library-path=/usr/local/lib/graphviz/"`
* Windows: use the [msi installer](https://graphviz.gitlab.io/_pages/Download/windows/graphviz-2.38.msi)
* For Anaconda + Windows, install pygraphviz from this [channel](https://anaconda.org/alubbock/pygraphviz) `conda install -c alubbock pygraphviz`
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[Documentation](https://py-bbn.readthedocs.io/en/latest/) available online!

# Gitter

[Chat Room](https://gitter.im/py-bbn/py-bbn)

# Citation

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