NAME

AI::DecisionTree::Instance - C-struct wrapper for training instances

SYNOPSIS

use AI::DecisionTree::Instance;

my $i = new AI::DecisionTree::Instance({foo => 'fooey', bar=> 'barrey'}, 'sports');
$i->value('foo') eq 'fooey';
$i->value('bar') eq 'barrey';
$i->result eq 'sports';

$i->value_int(0) == 0;  # Integer versions of values and attributes
$i->result_int == 0;    # Integer version of result

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).

This class typically has little effect on training speed or data-reading speed. It's not really a speed increaser, it's a memory saver.

AUTHOR

Ken Williams, ken@mathforum.org

SEE ALSO

AI::DecisionTree, Inline