Company profile

pgmpy

Python Library for Causal AI

Industry
Software Development
Employees
7
Founded
2014

pgmpy company summary

pgmpy is a company in the Software Development industry, founded in 2014. On LinkedIn the company has around 7 employees. Its listed specialties include Causality, Bayesian Networks, Explainable AI, Causal Inference, Simulations.

What technology does pgmpy use?

No technologies detected yet. Warmrank rechecks company websites on a rolling basis.

About pgmpy

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.

Specialties

CausalityBayesian NetworksExplainable AICausal InferenceSimulations

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Frequently asked questions about pgmpy

What does pgmpy do?

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.

How many employees does pgmpy have?

pgmpy has around 7 employees on LinkedIn.

When was pgmpy founded?

pgmpy was founded in 2014.

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