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lib/Algorithm/Classifier/NaiveBayes.pm  view on Meta::CPAN

By default token occurrences are weighted by their raw counts, but
binary weighting, counting each unique token once per document, may
be selected instead via token_weighting. Class priors default to how
often each class was trained, but may be set to uniform via priors.

Classes are not predefined. A class exists once something has been
trained for it and stops existing if everything for it is untrained.

The model may be saved to a JSON file or string and loaded back later,
allowing training and classification to happen in different processes.

=head1 METHODS

=head2 new

Initiates the object.

    my $nb = Algorithm::Classifier::NaiveBayes->new(%args);

The following args are supported.