NodeDMNBtext (3.7)


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.

Input ports

  1. Training data Type: Data
    Training data

Output ports

  1. Trained model Type: Weka 3.7 Classifier
    Trained model