Algorithm::SVM
NAME Algorithm::SVM - Perl bindings for the libsvm Support Vector Machine library. SYNOPSIS use Algorithm::SVM; # Load the model stored in the file 'sample.model' $svm = new Algorithm::SVM(Model => 'sample.model'); # Classify a dataset. $ds1 = new Algorithm::SVM::DataSet(Label => 1, Data => [0.12, 0.25, 0.33, 0.98]); $res = $svm->predict($ds); # Train a new SVM on some new datasets. $svm->train(@t
Algorithm::NaiveBayes
NAME Algorithm::NaiveBayes - Bayesian prediction of categories SYNOPSIS use Algorithm::NaiveBayes; my $nb = Algorithm::NaiveBayes->new; $nb->add_instance (attributes => {foo => 1, bar => 1, baz => 3}, label => 'sports'); $nb->add_instance (attributes => {foo => 2, blurp => 1}, label => ['sports', 'finance']); ... repeat for several more instances, then: $nb->train; # Find results for unseen instan
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