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pgmpy

pgmpy

Software Development

Python Library for Causal and Probabilistic Modeling using Bayesian Networks

About us

pgmpy is a Python library for causal and probabilistic modeling using Bayesian Networks and related models. It provides a uniform API for building, learning, and analyzing models such as Bayesian Networks, Dynamic Bayesian Networks, Directed Acyclic Graphs(DAGs), and Structural Equation Models (SEMs). By integrating tools from both probabilistic inference and causal inference, pgmpy enables users to seamlessly transition between predictive and interventional analyses.

Website
https://pgmpy.org/
Industry
Software Development
Company size
2-10 employees
Type
Nonprofit
Founded
2014

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