/** * * * @param classifier * @throws Exception */ public void buildDefaultClassifier() throws Exception { Classifier classifier = new GaussianProcesses() ; snippetWeighter.train(classifier, trainingDataset) ; }
/** * Main method for testing this class. * * @param argv the commandline parameters */ public static void main(String[] argv) { runClassifier(new GaussianProcesses(), argv); } }
/** * * * @param classifier * @throws Exception */ public void buildDefaultClassifier() throws Exception { Classifier classifier = new GaussianProcesses() ; relatednessMeasurer.train(classifier, trainingDataset) ; }
/** * Main method for testing this class. * * @param argv the commandline parameters */ public static void main(String[] argv) { runClassifier(new GaussianProcesses(), argv); } }
/** Creates a default GaussianProcesses */ public Classifier getClassifier() { return new GaussianProcesses(); }
/** Creates a default GaussianProcesses */ public Classifier getClassifier() { return new GaussianProcesses(); }
public void buildDefaultClassifiers() throws Exception { Classifier ssClassifier = new Bagging() ; ssClassifier.setOptions(Utils.splitOptions("-P 10 -S 1 -I 10 -W weka.classifiers.trees.J48 -- -U -M 2")) ; senseSelector.train(ssClassifier, senseDataset) ; Classifier rmClassifier = new GaussianProcesses() ; relatednessMeasurer.train(rmClassifier, relatednessDataset) ; }