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

       Ken Williams, ken@mathforum.org

       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.

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

       AI::DecisionTree

perl v5.40.0                                       2024-10-20                                      Instance(3pm)

         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;