AI::DecisionTree::Instance - C-struct wrapper for training instances
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;
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
"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.
Ken Williams, ken@mathforum.org