Package ir.classifiers

Provides methods for classifying text documents using machine learning.

See:
          Description

Class Summary
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.
 

Package ir.classifiers Description

Provides methods for classifying text documents using machine learning.