https://github.com/erdogant/bnclassify

bnlearn
https://github.com/erdogant/bnclassify

bayesian-inference bayesian-structure-learning dag directed-acyclic-graph inference python structure-learning

Last synced: 9 months ago
JSON representation

bnlearn

• Host: GitHub
• URL: https://github.com/erdogant/bnclassify
• Owner: erdogant
• License: other
• Created: 2022-02-24T08:48:34.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2022-03-25T19:43:47.000Z (almost 4 years ago)
• Last Synced: 2025-03-05T01:16:46.885Z (12 months ago)
• Topics: bayesian-inference, bayesian-structure-learning, dag, directed-acyclic-graph, inference, python, structure-learning
• Language: Python
• Homepage: https://erdogant.github.io/bnlearn
• Size: 35.2 KB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Citation: CITATION.cff

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README

          
# bnclassify - Probability density fitting.

[![Python](https://img.shields.io/pypi/pyversions/bnlearn)](https://img.shields.io/pypi/pyversions/bnlearn)

[![PyPI Version](https://img.shields.io/pypi/v/bnlearn)](https://pypi.org/project/bnlearn/)

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[![Downloads](https://pepy.tech/badge/bnclassify/month)](https://pepy.tech/project/bnclassify)

[![Downloads](https://pepy.tech/badge/bnclassify)](https://pepy.tech/project/bnclassify)

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[![Sphinx](https://img.shields.io/badge/Sphinx-Docs-Green)](https://erdogant.github.io/bnlearn/)

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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 pgmpy 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)