Discretization

Context

Discretization consists in representing continuous values with discrete, symbolic states. BayesiaLab offers a large set of univariate, bivariate, and multivariate algorithms to automatically create these discrete states.

Create a Class for Each Type of Discretization

When discretizing with Learning > Discretization, you can create a class that groups the nodes based on their type of discretization. This is also available during Data Import.