semvec/pypi-packages huggingface dataset:
bnclassify 1.0.1
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
Requires Python: >=3

# bnclassify - Probability density fitting.

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### 

``bnclassify`` is Python package that originates from ``bnlearn`` and is for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods. Although there are very good Python packages for probabilistic graphical models, it still can remain difficult (and somethimes unnecessarily) to (re)build certain pipelines. ``bnclassify`` for python (this package) is build on the <a href="https://github.com/pgmpy/pgmpy">pgmpy</a> package and contains the most-wanted pipelines. Navigate to [API documentations](https://erdogant.github.io/bnlearn/) for more detailed information.

**Star the [bnlearn](https://github.com/erdogant/bnlearn) repo if you like it! ⭐️**

## 


### Blog/Documentation

* [**Step-by-step guide for structure learning!**](https://towardsdatascience.com/a-step-by-step-guide-in-detecting-causal-relationships-using-bayesian-structure-learning-in-python-c20c6b31cee5)
* [**Step-by-step guide for knowledge-driven models!**](https://link.medium.com/LBp2eW8qNjb)
* [**bnlearn documentation pages (Sphinx)**](https://erdogant.github.io/bnlearn/)


* ``bnclassify`` is Python package that originates from ``bnlearn`` library.
* Examples  and information can be found [at the bnlearn github](https://github.com/erdogant/bnlearn)