Discretization (9.0)

Context

Learning | Discretization

Discretization (opens in a new tab) 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 (opens in a new tab) when discretizing with Learning | Discretization. Previously, this was only possible during Data Import (opens in a new tab).