Example usage for weka.classifiers Classifier subclass-usage

Introduction

In this page you can find the example usage for weka.classifiers Classifier subclass-usage.

Usage

From source file expshell.DecisionTree.java

/**
 *
 * @author YH Jonathan Kwok
 */
public class DecisionTree extends Classifier {
    private Instances data;

From source file expshell.HardCodeClassifier.java

/**
 *
 * @author YH Jonathan Kwok
 */
public class HardCodeClassifier extends Classifier {

From source file expshell.KNN.java

/**
 *
 * @author YH Jonathan Kwok
 */
public class KNN extends Classifier {
    Integer k = 8;

From source file expshell.NeuralClassifier.java

/**
 *
 * @author YH Jonathan Kwok
 */
public class NeuralClassifier extends Classifier {
    NeuralNetwork nn = null;

From source file id3.MyID3.java

/**
 *
 * @author rikysamuel
 */
public class MyID3 extends Classifier implements TechnicalInformationHandler, Sourcable {
    private Attribute currentAttribute;

From source file id3classifier.ID3Classifiers.java

/**
 *
 * @author Mark
 */

public class ID3Classifiers extends Classifier {

From source file iris.ID3.java

/**
 *
 * @author jorda_000
 */
public class ID3 extends Classifier {
    int usedAttributes = 0;

From source file iris.Network.java

/**
 *
 * 
 */
public class Network extends Classifier {
    // Allows for checking of the classification of the node

From source file j48.bonbonJ48.java

/**
 *
 * @author Teofebano
 */
public class bonbonJ48 extends Classifier {
    // Attribute

From source file j48.J48.java

/**
 * <!-- globalinfo-start --> Class for generating a pruned or unpruned C4.5
 * decision tree. For more information, see<br/>
 * <br/>
 * Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann
 * Publishers, San Mateo, CA.