Class for building and using a Discriminative Multinomial Naive Bayes classifier
For more information see,
Jiang Su,Harry Zhang,Charles X.Ling,Stan Matwin: Discriminative Parameter Learning for Bayesian Networks.
In: ICML 2008', 2008.
The core equation for this classifier:
P[Ci|D] = (P[D|Ci] x P[Ci]) / P[D] (Bayes rule)
where Ci is class i and D is a document.
(based on WEKA 3.7)
For further options, click the 'More' - button in the dialog.
All weka dialogs have a panel where you can specify classifier-specific parameters.