In the future this may be converted to an Inline::Java wrapper for better performance (faster running times). This can give you access to a collection of machine learning algorithms not otherwise implemented in AI::Categorizer.Ĭurrently this is a simple command-line wrapper that calls java subprocesses. This class doesn't implement any machine learners of its own, it merely passes the data through to the Weka machine learning system (). Print "Best assigned category: ", $hypothesis->best_category, "\n" My $hypothesis = $nb->categorize($document) My $c = new AI::Categorizer::Collection::Files( path =>. $nb = AI::Categorizer::Learner->restore_state('filename') My $nb = new AI::Categorizer::Learner::Weka(.parameters.) # Here $k is an AI::Categorizer::KnowledgeSet object AI::Categorizer::Learner::Weka - Pass-through wrapper to Weka system SYNOPSIS use AI::Categorizer::Learner::Weka
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |