AI::Categorizer::Learner::Guesser - Simple guessing based on class probabilities
use AI::Categorizer::Learner::Guesser; # Here $k is an AI::Categorizer::KnowledgeSet object my $l = new AI::Categorizer::Learner::Guesser; $l->train(knowledge_set => $k); $l->save_state('filename'); ... time passes ... $l = AI::Categorizer::Learner->restore_state('filename'); my $c = new AI::Categorizer::Collection::Files( path => ... ); while (my $document = $c->next) { my $hypothesis = $l->categorize($document); print "Best assigned category: ", $hypothesis->best_category, "\n"; print "All assigned categories: ", join(', ', $hypothesis->categories), "\n"; }
This implements a simple category guesser that makes assignments based solely on the prior probabilities of categories. For instance, if 5% of the training documents belong to a certain category, then the probability of any test document being assigned to that category is 0.05. This can be useful for providing baseline scores to compare with other more sophisticated algorithms.
See AI::Categorizer for a complete description of the interface.
This class inherits from the AI::Categorizer::Learner class, so all of its methods are available.
AI::Categorizer::Learner
Ken Williams (<ken@mathforum.org>)
<ken@mathforum.org>
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.
AI::Categorizer(3)
To install AI::Categorizer, copy and paste the appropriate command in to your terminal.
cpanm
cpanm AI::Categorizer
CPAN shell
perl -MCPAN -e shell install AI::Categorizer
For more information on module installation, please visit the detailed CPAN module installation guide.