1AI::Categorizer::LearneUrs:e:rDeCcoinstiroinbTurteeedA(I3P:)e:rClatDeogcourmieznetra:t:iLoenarner::DecisionTree(3)
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6 AI::Categorizer::Learner::DecisionTree - Decision Tree Learner
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9 use AI::Categorizer::Learner::DecisionTree;
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11 # Here $k is an AI::Categorizer::KnowledgeSet object
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13 my $l = new AI::Categorizer::Learner::DecisionTree(...parameters...);
14 $l->train(knowledge_set => $k);
15 $l->save_state('filename');
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17 ... time passes ...
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19 $l = AI::Categorizer::Learner->restore_state('filename');
20 while (my $document = ... ) { # An AI::Categorizer::Document object
21 my $hypothesis = $l->categorize($document);
22 print "Best assigned category: ", $hypothesis->best_category, "\n";
23 }
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26 This class implements a Decision Tree machine learner, using
27 "AI::DecisionTree" to do the internal work.
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30 This class inherits from the "AI::Categorizer::Learner" class, so all
31 of its methods are available unless explicitly mentioned here.
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33 new()
34 Creates a new DecisionTree Learner and returns it.
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36 train(knowledge_set => $k)
37 Trains the categorizer. This prepares it for later use in categorizing
38 documents. The "knowledge_set" parameter must provide an object of the
39 class "AI::Categorizer::KnowledgeSet" (or a subclass thereof),
40 populated with lots of documents and categories. See
41 AI::Categorizer::KnowledgeSet for the details of how to create such an
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44 categorize($document)
45 Returns an "AI::Categorizer::Hypothesis" object representing the
46 categorizer's "best guess" about which categories the given document
47 should be assigned to. See AI::Categorizer::Hypothesis for more
48 details on how to use this object.
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50 save_state($path)
51 Saves the categorizer for later use. This method is inherited from
52 "AI::Categorizer::Storable".
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55 Ken Williams, ken@mathforum.org
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58 Copyright 2000-2003 Ken Williams. All rights reserved.
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60 This library is free software; you can redistribute it and/or modify it
61 under the same terms as Perl itself.
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64 AI::Categorizer(3)
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68perl v5.30.1 2020A-I0:1:-C2a9tegorizer::Learner::DecisionTree(3)