++ed by:
JETEVE

1 PAUSE user(s)
2 non-PAUSE user(s).

Zbigniew Łukasiak
and 3 contributors

NAME

AI::NaiveBayes::Classification - The result of a bayesian classification

VERSION

version 0.02

SYNOPSIS

    my $result = $classifier->classify({bar => 3, blurp => 2});
    # $result is an AI::NaiveBayes::Classification object
    say $result->best_category;
    my $predictors = $result->find_predictors;

DESCRIPTION

AI::NaiveBayes::Classification represents the result of a bayesian classification, produced by AI::NaiveBayes classifier.

METHODS

best_category()

Returns a string being a label that suits given document the best.

find_predictors()

This method returns the best_category(), as well as the list of all the predictors along with their influence on the best category selected. So the second value returned is a list of array references, where each one contains a string being a single feature and a number describing its influence on the result. So the second part of the result may look like this:

    (
        [ 'activities',  1.2511540632952 ],
        [ 'over',       -1.0269523272981 ],
        [ 'provide',     0.8280157033269 ],
        [ 'natural',     0.7361042359385 ],
        [ 'against',    -0.6923354975173 ],
    )

SEE ALSO

AI::NaiveBayes (3), AI::Classifier(3)

AUTHORS

  • Zbigniew Lukasiak <zlukasiak@opera.com>

  • Tadeusz Sośnierz <tsosnierz@opera.com>

  • Ken Williams <ken@mathforum.org>

COPYRIGHT AND LICENSE

This software is copyright (c) 2012 by Opera Software ASA.

This is free software; you can redistribute it and/or modify it under the same terms as the Perl 5 programming language system itself.