AI-Categorizer

 view release on metacpan or  search on metacpan

lib/AI/Categorizer/Category.pm  view on Meta::CPAN

use strict;
use AI::Categorizer::ObjectSet;
use Class::Container;
use base qw(Class::Container);

use Params::Validate qw(:types);
use AI::Categorizer::FeatureVector;

__PACKAGE__->valid_params
  (
   name => {type => SCALAR, public => 0},
   documents  => {
		  type => ARRAYREF,
		  default => [],
		  callbacks => { 'all are Document objects' => 
				 sub { ! grep !UNIVERSAL::isa($_, 'AI::Categorizer::Document'), @_ },
			       },
		  public => 0,
		 },
  );

__PACKAGE__->contained_objects
  (
   features => {
		class => 'AI::Categorizer::FeatureVector',
		delayed => 1,
	       },
  );

lib/AI/Categorizer/Document.pm  view on Meta::CPAN

  (
   name       => {
		  type => SCALAR, 
		 },
   categories => {
		  type => ARRAYREF,
		  default => [],
		  callbacks => { 'all are Category objects' => 
				 sub { ! grep !UNIVERSAL::isa($_, 'AI::Categorizer::Category'), @{$_[0]} },
			       },
		  public => 0,
		 },
   stopwords => {
		 type => ARRAYREF|HASHREF,
		 default => {},
		},
   content   => {
		 type => HASHREF|SCALAR,
		 default => undef,
		},
   parse => {

lib/AI/Categorizer/Learner/KNN.pm  view on Meta::CPAN

Copyright 2000-2003 Ken Williams.  All rights reserved.

This library is free software; you can redistribute it and/or
modify it under the same terms as Perl itself.

=head1 SEE ALSO

AI::Categorizer(3)

"A re-examination of text categorization methods" by Yiming Yang
L<http://www.cs.cmu.edu/~yiming/publications.html>

=cut

lib/AI/Categorizer/Learner/NaiveBayes.pm  view on Meta::CPAN

Copyright 2000-2003 Ken Williams.  All rights reserved.

This library is free software; you can redistribute it and/or
modify it under the same terms as Perl itself.

=head1 SEE ALSO

AI::Categorizer(3), Algorithm::NaiveBayes(3)

"A re-examination of text categorization methods" by Yiming Yang
L<http://www.cs.cmu.edu/~yiming/publications.html>

"On the Optimality of the Simple Bayesian Classifier under Zero-One
Loss" by Pedro Domingos
L<"http://www.cs.washington.edu/homes/pedrod/mlj97.ps.gz">

A simple but complete example of Bayes' Theorem from Dr. Math
L<"http://www.mathforum.com/dr.math/problems/battisfore.03.22.99.html">

=cut