Package

weka.classifiers.bayes

Synopsis

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.

Available in Weka 3.6.x - 3.7.1. Available via the package management system for Weka >= 3.7.2 (DMNBtext)

The table below describes the options available for DMNBtext.

Option	Description
binaryWord	whether ingore the frequency information in data
debug	If set to true, classifier may output additional info to the console.
numIterations	The number of iterations that the classifier will scan the training data

The table below describes the capabilites of DMNBtext.

Capability	Supported
Class	Binary class, Nominal class, Missing class values
Attributes	Numeric attributes
Min # of instances	1