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The rest of the attributes is for class' internal usage, and thus not
documented.

=item C<classifier_class>

The class of the classifier to be created.  By default it is
C<AI::NaiveBayes>

=back

=head1 METHODS

=over 4

=item C<add_example( attributes => HASHREF, labels => LIST )>

Saves the information from a training example into internal data structures.
C<attributes> should be of the form of 
    { feature1 => weight1, feature2 => weight2, ... }
C<labels> should be a list of strings denoting one or more classes to which the example belongs.

=item C<classifier()>

    Creates an AI::NaiveBayes classifier based on the data accumulated before.

=back

=head1 UTILITY SUBS

=over 4

=item C<add_hash>

=back

=head1 BASED ON

Much of the code and description is from L<Algorithm::NaiveBayes>.

=head1 AUTHORS

=over 4

=item *

Zbigniew Lukasiak <zlukasiak@opera.com>

=item *

Tadeusz Sośnierz <tsosnierz@opera.com>

=item *

Ken Williams <ken@mathforum.org>

=back

=head1 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.

=cut

__END__

# ABSTRACT: Build AI::NaiveBayes classifier from a set of training examples.