Discretization
Context
The Discretization screen is part of Step 4 — Discretization and Aggregation within the Data Import Wizard.
This screen is only available if you designated at least one Continuous variable in Step 2 — Definition of Variable Types.
BayesiaLab requires the discretization of all Continuous variables, and in this screen, you need to specify how to discretize those variables.
The Discretization process determines how a Continuous variable will be imported into BayesiaLab, i.e.,
the number of intervals (or bins);
the values of the thresholds which define the ranges of the intervals.
These attributes define the transformation of the underlying Continuous variable in the dataset into a discretized Continuous node in BayesiaLab.
To learn more about the important distinction between Continuous and Discrete nodes, please see these topics:
Continuous Nodes
Discrete Nodes
Usage
Select one or more Continuous variables and click into one of the headers or one of the corresponding columns.
The Discretization panel appears.
At the bottom of the screen, the Data panel carries over from Step 3 — Data Selection, Filtering, and Missing Value Processing, although now without any options.
Discretization Types Overview
The first item in the Discretization panel is the Discretization Type drop-down menu.
The items on this list can be grouped into Automatic Discretization versus Manual Discretization.
The bottom item on the drop-down menu, Manual, refers to a Manual Discretization approach in which you have full control over thresholds, etc.
The remaining eleven items all refer to different kinds of Automatic Discretization.
However, even in Manual Discretization, you take advantage of the algorithms available with Automatic Discretization.
Discretization Types in Detail
Manual Discretization
Automatic Discretization
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