Learning | Discretization
Discretization consists in representing the continuous variables with discrete/symbolic states. BayesiaLab offers a large set of univariate, bivariate and multi-variate algorithms to automatically create these discrete states.
New Feature: Create a Class for Each Type of Discretization
As of version 9.0, it now possible to create a class to group the nodes based on their type of discretization when discretizing with Learning | Discretization. Previously, this was only possible during Data Import.