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package AI::DecisionTree::Instance;
use strict;
use vars qw($VERSION @ISA);
$VERSION = '0.11';
use DynaLoader ();
@ISA = qw(DynaLoader);
bootstrap AI::DecisionTree::Instance $VERSION;
1;
__END__
=head1 NAME
AI::DecisionTree::Instance - C-struct wrapper for training instances
=head1 SYNOPSIS
use AI::DecisionTree::Instance;
my $i = new AI::DecisionTree::Instance([3,5], 7, 'this_instance');
$i->value_int(0) == 3;
$i->value_int(1) == 5;
$i->result_int == 7;
=head1 DESCRIPTION
This class is just a simple Perl wrapper around a C struct embodying a
single training instance. Its purpose is to reduce memory usage. In
a "typical" training set with about 1000 instances, memory usage can
be reduced by about a factor of 5 (from 43.7M to 8.2M in my test
program).
A fairly tight loop is also implemented that helps speed up the
C<train()> AI::DecisionTree method by about a constant factor of 4.
Please do not consider this interface stable - I change it whenever I
have a new need in AI::DecisionTree.
=head1 AUTHOR
Ken Williams, ken@mathforum.org
=head1 SEE ALSO
AI::DecisionTree
=cut
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