Supported Data Types — pgmpy 0.1.23 documentation

pgmpy is a pure python implementation for Bayesian Networks with a focus on modularity and extensibility. Implementations of various alogrithms for Structure Learning, Parameter Estimation, Approximate (Sampling Based) and Exact inference, and Causal Inference are available. Supported Data Types¶ Structure Learning Parameter Estimation Causal Inference Probabilistic Inference

[lanius]

"pgmpy is a Python library for creation, manipulation and implementation of Probablistic Graphical Models (PGM)".