Package ir.classifiers

Provides methods for classifying text documents using machine learning.

See: Description

Class Summary

Class	Description
BayesResult	An object to hold the result of training a NaiveBayes classifier.
Classifier	Abstract class specifying the functionality of a classifier.
CVLearningCurve	Gives learning curves with K-fold cross validation for a classifier.
DirectoryExamplesConstructor	Creates a list of examples from a directory where file names contain the category name as a substring.
Example	An object to hold training or test examples for categorization.
ExamplesConstructor	Creates a list of Examples from data files Specializations handle various ways of storing examples.
NaiveBayes	Implements the NaiveBayes Classifier with Laplace smoothing.
PointResults	Utility class for generating average result curves.
TestNaiveBayes	Wrapper class to test NaiveBayes classifier using 10-fold CV.
TestNaiveBayes2	Wrapper class to test NaiveBayes classifier using 10-fold CV.

Package ir.classifiers Description

Provides methods for classifying text documents using machine learning.