AI::Categorizer::Learner::Weka AI::Categorizer::Learner::Weka is a Perl module to pass-through wrapper to Weka system.
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Perl module wrapper pass-through wrapper Weka system pass-through

AI::Categorizer::Learner::Weka Description

AI::Categorizer::Learner::Weka is a Perl module to pass-through wrapper to Weka system. AI::Categorizer::Learner::Weka is a Perl module to pass-through wrapper to Weka system.SYNOPSIS use AI::Categorizer::Learner::Weka; # Here $k is an AI::Categorizer::KnowledgeSet object my $nb = new AI::Categorizer::Learner::Weka(...parameters...); $nb->train(knowledge_set => $k); $nb->save_state('filename'); ... time passes ... $nb = AI::Categorizer::Learner->restore_state('filename'); my $c = new AI::Categorizer::Collection::Files( path => ... ); while (my $document = $c->next) { my $hypothesis = $nb->categorize($document); print "Best assigned category: ", $hypothesis->best_category, "n"; }This class doesn't implement any machine learners of its own, it merely passes the data through to the Weka machine learning system (http://www.cs.waikato.ac.nz/~ml/weka/). This can give you access to a collection of machine learning algorithms not otherwise implemented in AI::Categorizer.Currently this is a simple command-line wrapper that calls java subprocesses. In the future this may be converted to an Inline::Java wrapper for better performance (faster running times). However, if you're looking for really great performance, you're probably looking in the wrong place - this Weka wrapper is intended more as a way to try lots of different machine learning methods. Requirements: · Perl

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