Search results for "module:AI::Categorizer::Learner::NaiveBayes"
AI::Categorizer::Learner::NaiveBayes - Naive Bayes Algorithm For AI::Categorizer
This is an implementation of the Naive Bayes decision-making algorithm, applied to the task of document categorization (as defined by the AI::Categorizer module). See AI::Categorizer for a complete description of the interface. This module is now a w...
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
AI::Categorizer::Learner - Abstract Machine Learner Class
The "AI::Categorizer::Learner" class is an abstract class that will never actually be directly used in your code. Instead, you will use a subclass like "AI::Categorizer::Learner::NaiveBayes" which implements an actual machine learning algorithm. The ...
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
AI::Categorizer - Automatic Text Categorization
"AI::Categorizer" is a framework for automatic text categorization. It consists of a collection of Perl modules that implement common categorization tasks, and a set of defined relationships among those modules. The various details are flexible - for...
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
AI::Categorizer::Document - Embodies a document
The Document class embodies the data in a single document, and contains methods for turning this data into a FeatureVector. Usually documents are plain text, but subclasses of the Document class may handle any kind of data....
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC
AI::Categorizer::KnowledgeSet - Encapsulates set of documents
The KnowledgeSet class that provides an interface to a set of documents, a set of categories, and a mapping between the two. Many parameters for controlling the processing of documents are managed by the KnowledgeSet class....
KWILLIAMS/AI-Categorizer-0.09 - 24 Mar 2007 02:39:15 UTC