1AI::Categorizer::LearneUrs:e:rGuCeosnsterri(b3u)ted PerlAID:o:cCuamteengtoartiizoenr::Learner::Guesser(3)
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NAME

6       AI::Categorizer::Learner::Guesser - Simple guessing based on class
7       probabilities
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SYNOPSIS

10         use AI::Categorizer::Learner::Guesser;
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12         # Here $k is an AI::Categorizer::KnowledgeSet object
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14         my $l = new AI::Categorizer::Learner::Guesser;
15         $l->train(knowledge_set => $k);
16         $l->save_state('filename');
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18         ... time passes ...
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20         $l = AI::Categorizer::Learner->restore_state('filename');
21         my $c = new AI::Categorizer::Collection::Files( path => ... );
22         while (my $document = $c->next) {
23           my $hypothesis = $l->categorize($document);
24           print "Best assigned category: ", $hypothesis->best_category, "\n";
25           print "All assigned categories: ", join(', ', $hypothesis->categories), "\n";
26         }
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DESCRIPTION

29       This implements a simple category guesser that makes assignments based
30       solely on the prior probabilities of categories.  For instance, if 5%
31       of the training documents belong to a certain category, then the
32       probability of any test document being assigned to that category is
33       0.05.  This can be useful for providing baseline scores to compare with
34       other more sophisticated algorithms.
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36       See AI::Categorizer for a complete description of the interface.
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METHODS

39       This class inherits from the "AI::Categorizer::Learner" class, so all
40       of its methods are available.
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AUTHOR

43       Ken Williams ("<ken@mathforum.org>")
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46       Copyright 2000-2003 Ken Williams.  All rights reserved.
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48       This library is free software; you can redistribute it and/or modify it
49       under the same terms as Perl itself.
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SEE ALSO

52       AI::Categorizer(3)
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56perl v5.28.0                      2018-07-1A4I::Categorizer::Learner::Guesser(3)
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