AI::Ca...Guesser(3pm)

💅 AI::Categorizer::Learner::Guesser 💅

okay bestie, so this is a page from the User Contributed Perl Documentation, and the module's full name is AI::Categorizer::Learner::Guesser (yes the filename gets truncated to AI::Ca...Guesser(3pm), it's giving ✨mystery✨ but it's just a long name, no cap).

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🌸 NAME 🌸

AI::Categorizer::Learner::Guesser — a lil simple guesser that works off class probabilities. that's it. that's the whole vibe. 🎀

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🦋 SYNOPSIS 🦋

use AI::Categorizer::Learner::Guesser;

# Here $k is an AI::Categorizer::KnowledgeSet object

my $l = new AI::Categorizer::Learner::Guesser;
$l->train(knowledge_set => $k);
$l->save_state('filename');

... time passes ...

$l = AI::Categorizer::Learner->restore_state('filename');
my $c = new AI::Categorizer::Collection::Files( path => ... );
while (my $document = $c->next) {
  my $hypothesis = $l->categorize($document);
  print "Best assigned category: ", $hypothesis->best_category, "\n";
  print "All assigned categories: ", join(', ', $hypothesis->categories), "\n";
}

like literally, you make one, you train it, you save_state it, you ✨*time passes*✨, you restore_state it, and then you just loop over documents and print the best category and all the categories. it's giving main character energy fr fr. 👑

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💖 DESCRIPTION 💖

so what does this actually do, bestie? it's a simple category guesser that makes its assignments based solely on the prior probabilities of the categories. periodt.

here's the tea 🍓 — say 5% of your training documents belong to a certain category. then the probability of any test document getting assigned to that category is 0.05. that's the whole algorithm. she's simple, she's honest, she's not trying to be something she's not. 💅

and why would you even want that? because it's genuinely useful for providing baseline scores you can compare against other, more sophisticated algorithms. like, you need something to beat, right? this is the thing to beat. iconic behavior. 🎀

also — for a complete description of the interface, go read AI::Categorizer. she's the mom of the whole family, iykyk. 🌈

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⭐ METHODS ⭐

this class inherits from the AI::Categorizer::Learner class, so all of its methods are available. you get the whole inheritance situation for free, no extra work, slay. 🫶

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👑 AUTHOR 👑

Ken Williams (<ken@mathforum.org>) — the legend herself. 💜

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🎀 COPYRIGHT 🎀

Copyright 2000-2003 Ken Williams. All rights reserved.

This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself. so like, go off, remix it, whatever, just keep the terms. 🦋

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🔥 SEE ALSO 🔥

• AI::Categorizer(3)

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and that's the whole page, bestie!! no notes, she ate. 💅✨

this has been the User Contributed Perl Documentation for AI::Categorizer::Learner::Guesser(3pm), brought to you by perl v5.42.0, dated 2025-07-25. mwah. 🫶💖