NaiveBayesMultinomialUpdateable
Package
weka.classifiers.bayes
Synopsis
Class for building and using a multinomial Naive Bayes classifier. For more information see,
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
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.
Incremental version of the algorithm.
Options
The table below describes the options available for NaiveBayesMultinomialUpdateable.
Option |
Description |
|---|---|
debug |
If set to true, classifier may output additional info to the console. |
Capabilities
The table below describes the capabilites of NaiveBayesMultinomialUpdateable.
Capability |
Supported |
|---|---|
Class |
Binary class, Nominal class, Missing class values |
Attributes |
Numeric attributes |
Min # of instances |
1 |