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For further information on the PAV algorithm, you can read the section in my
paper referenced below.

=head1 EXPORT

This module exports three functions: calibrate, score_prob and print_mapping.

=head1 BUGS

None known.  This implementation is straightforward but inefficient (its time
is O(n^2) in the length of the data series).  A linear time algorithm is
known, and in a later version of this module I'll probably implement it.

=head1 SEE ALSO

The AI::NaiveBayes1 perl module.

My paper "PAV and the ROC Convex Hull" has a good discussion of the PAV
algorithm, including examples:
L<http://home.comcast.net/~tom.fawcett/public_html/papers/PAV-ROCCH-dist.pdf>