This Blog entry is from the Netica Basics section in Learn Netica.
The process of manually adding nodes to a canvas is quite laborious and with a key benefit of Bayesian networks being the ability to handle extremely large networks with hundreds of nodes, impractical. Furthermore, Bayesian techniques are inherently state based, which would rely on a process of dividing continuous variables into appropriate state bins.
Netica has the ability to infer columns from a file, thus allowing for automation in the creation of nodes on the canvas.
Start by creating a blank canvas:
To infer and then add the case file nodes, click Cases in the menu Item, then click or hover on the Learn sub menu item, then click Add Case File Nodes:
When the dialog box opens, select the file CreditRisk.csv:
Clicking Open will begin the process of creating nodes based upon the Variables name coupled with an analysis of the number of states within that Variable. In the event that a variable is determined to be continuous, a prompt will be displayed to determine the number of states to set for this variable:
Specify the number of states deemed appropriate for the variable, then click ok. Repeat for each variable until all of the nodes have been added to the canvas: