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package AI::Categorizer::Learner::Guesser; |
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1554
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use strict; |
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use AI::Categorizer::Learner; |
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use base qw(AI::Categorizer::Learner); |
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sub create_model { |
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my $self = shift; |
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my $k = $self->knowledge_set; |
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my $num_docs = $k->documents; |
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foreach my $cat ($k->categories) { |
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next unless $cat->documents; |
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$self->{model}{$cat->name} = $cat->documents / $num_docs; |
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} |
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} |
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sub get_scores { |
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my ($self, $newdoc) = @_; |
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my %scores; |
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while (my ($cat, $prob) = each %{$self->{model}}) { |
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$scores{$cat} = 0.5 + $prob - rand(); |
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} |
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return (\%scores, 0.5); |
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} |
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1; |
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__END__ |