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Implementation of Tractable Probabilistic Model Tree Bayesian Networks using Chow Liu Tree and Mixture of Trees using EM (Expectation-Maximization) algorithm and Mixture of Trees using Random Forest Technique in python
This R-package is for learning the structure of the type of graphical models called t-cherry trees from data. The structure is determined either directly from data or by increasing the order of a lower order t-cherry tree.