/** * Main method for testing this class. * * @param argv the options */ public static void main(String[] argv) { runClassifier(new BayesNet(), argv); } // main
/** Creates a default BayesNet */ public Classifier getClassifier() { return new BayesNet(); }
/** * Main method for testing this class. * * @param argv the options */ public static void main(String[] argv) { runClassifier(new BayesNet(), argv); } // main
/** Creates a default BayesNet */ public Classifier getClassifier() { return new BayesNet(); }
/** * for testing the class * * @param argv the commandline parameters */ static public void main(String[] argv) { try { BayesNet b = new BayesNet(); b.setSearchAlgorithm(new ICSSearchAlgorithm()); Instances instances = new Instances(new FileReader( "C:\\eclipse\\workspace\\weka\\data\\contact-lenses.arff")); instances.setClassIndex(instances.numAttributes() - 1); b.buildClassifier(instances); System.out.println(b.toString()); } catch (Exception e) { e.printStackTrace(); } } // main
/** * for testing the class * * @param argv the commandline parameters */ static public void main(String[] argv) { try { BayesNet b = new BayesNet(); b.setSearchAlgorithm(new ICSSearchAlgorithm()); Instances instances = new Instances(new FileReader( "C:\\eclipse\\workspace\\weka\\data\\contact-lenses.arff")); instances.setClassIndex(instances.numAttributes() - 1); b.buildClassifier(instances); System.out.println(b.toString()); } catch (Exception e) { e.printStackTrace(); } } // main
BayesNet bestBayesNet = new BayesNet(); bestBayesNet.m_Instances = instances; bestBayesNet.initStructure();
BayesNet bestBayesNet = new BayesNet(); bestBayesNet.m_Instances = instances; bestBayesNet.initStructure();
BayesNet bestBayesNet = new BayesNet(); bestBayesNet.m_Instances = instances; bestBayesNet.initStructure();
BayesNet bestBayesNet = new BayesNet(); bestBayesNet.m_Instances = instances; bestBayesNet.initStructure();
bestBayesNet = new BayesNet(); bestBayesNet.m_Instances = instances; bestBayesNet.initStructure();
bestBayesNet = new BayesNet(); bestBayesNet.m_Instances = instances; bestBayesNet.initStructure();
bestBayesNet = new BayesNet(); bestBayesNet.m_Instances = instances; bestBayesNet.initStructure();
bestBayesNet = new BayesNet(); bestBayesNet.m_Instances = instances; bestBayesNet.initStructure();
bestBayesNet = new BayesNet(); bestBayesNet.m_Instances = instances; bestBayesNet.initStructure();
bestBayesNet = new BayesNet(); bestBayesNet.m_Instances = instances; bestBayesNet.initStructure();
bestBayesNet = new BayesNet(); bestBayesNet.m_Instances = instances; bestBayesNet.initStructure();
bestBayesNet = new BayesNet(); bestBayesNet.m_Instances = instances; bestBayesNet.initStructure();
bestBayesNet = new BayesNet(); bestBayesNet.m_Instances = instances; bestBayesNet.initStructure();