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

6       AI::Categorizer::Learner::Boolean - Abstract class for boolean
7       categorizers
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SYNOPSIS

10        package AI::Categorizer::Learner::SomethingNew;
11        use AI::Categorizer::Learner::Boolean;
12        @ISA = qw(AI::Categorizer::Learner::Boolean);
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14        sub create_boolean_model {
15          my ($self, $positives, $negatives, $category) = @_;
16          ...
17          return $something_helpful;
18        }
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20        sub get_boolean_score {
21          my ($self, $document, $something_helpful) = @_;
22          ...
23          return $score;
24        }
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DESCRIPTION

27       This is an abstract class which turns boolean categorizers
28       (categorizers based on algorithms that can just provide yes/no
29       categorization decisions for a single document and single category)
30       into multi-valued categorizers.  For instance, the decision tree
31       categorizer "AI::Categorizer::Learner::DecisionTree" maintains a
32       decision tree for each category, then uses it to decide whether a
33       certain document belongs to the given category.
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35       Any class that inherits from this class should implement the following
36       methods:
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38   create_boolean_model()
39       Used during training to create a category-specific model.  The type of
40       model you create is up to you - it should be returned as a scalar.
41       Whatever you return will be available to you in the
42       "get_boolean_score()" method, so put any information you'll need during
43       categorization in this scalar.
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45       In addition to $self, this method will be passed three arguments.  The
46       first argument is a reference to an array of positive examples, i.e.
47       documents that belong to the given category.  The next argument is a
48       reference to an array of negative examples, i.e. documents that do not
49       belong to the given category.  The final argument is the Category
50       object for the given category.
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52   get_boolean_score()
53       Used during categorization to assign a score for a single document
54       relative to a single category.  The score should be between 0 and 1,
55       with a score greater than 0.5 indicating membership in the category.
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57       In addition to $self, this method will be passed two arguments.  The
58       first argument is the document to be categorized.  The second argument
59       is the value returned by "create_boolean_model()" for this category.
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AUTHOR

62       Ken Williams, <ken@mathforum.org>
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SEE ALSO

65       AI::Categorizer
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69perl v5.36.0                      2022-07-2A2I::Categorizer::Learner::Boolean(3)
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