AI::Categorizer::Learner::SVM

AI::Categorizer::Learner::SVM is a Perl module to support Vector Machine Learner.
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AI::Categorizer::Learner::SVM Ranking & Summary

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  • Rating:
  • License:
  • Perl Artistic License
  • Price:
  • FREE
  • Publisher Name:
  • Ken Williams
  • Publisher web site:
  • http://search.cpan.org/~kwilliams/Module-Build-0.2808/lib/Module/Build/Compat.pm

AI::Categorizer::Learner::SVM Tags


AI::Categorizer::Learner::SVM Description

AI::Categorizer::Learner::SVM is a Perl module to support Vector Machine Learner. AI::Categorizer::Learner::SVM is a Perl module to support Vector Machine Learner.SYNOPSIS use AI::Categorizer::Learner::SVM; # Here $k is an AI::Categorizer::KnowledgeSet object my $l = new AI::Categorizer::Learner::SVM(...parameters...); $l->train(knowledge_set => $k); $l->save_state('filename'); ... time passes ... $l = AI::Categorizer::Learner->restore_state('filename'); while (my $document = ... ) { # An AI::Categorizer::Document object my $hypothesis = $l->categorize($document); print "Best assigned category: ", $hypothesis->best_category, "n"; }This class implements a Support Vector Machine machine learner, using Cory Spencer's Algorithm::SVM module. In lots of the recent academic literature, SVMs perform very well for text categorization. Requirements: · Perl


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