bnclassify 1.0.1

Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

bnclassify - Probability density fitting.

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 for more detailed information.

Star the bnlearn repo if you like it! ⭐️

Blog/Documentation

• Step-by-step guide for structure learning!

• Step-by-step guide for knowledge-driven models!

• bnlearn documentation pages (Sphinx)

• bnclassify is Python package that originates from bnlearn library.

• Examples and information can be found at the bnlearn github