Example usage for weka.classifiers AbstractClassifier subclass-usage

Introduction

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

Usage

From source file hr.irb.fastRandomForest.FastRandomForest.java

/**
 * Based on the "weka.classifiers.trees.RandomForest" class, revision 1.12,
 * by Richard Kirkby, with minor modifications:
 * <p/>
 * - uses FastRfBagger with FastRandomTree, instead of Bagger with RandomTree.
 * - stores dataset header (instead of every Tree storing its own header)

From source file hr.irb.fastRandomForest.FastRandomTree.java

/**
 * Based on the "weka.classifiers.trees.RandomTree" class, revision 1.19,
 * by Eibe Frank and Richard Kirkby, with major modifications made to improve
 * the speed of classifier training.
 * 
 * Please refer to the Javadoc of buildTree, splitData and distribution

From source file imba.classifier.FFNNTubes.java

/**
 *
 * @author Fanda
 */
public class FFNNTubes extends AbstractClassifier implements Serializable {
    private int nHidden; //jumlah hidden layer

From source file imba.classifier.NBTubes.java

/**
 *
 * @author absol
 */
public class NBTubes extends AbstractClassifier implements Serializable {

From source file LogReg.Logistic.java

/**
 <!-- globalinfo-start -->
 * Class for building and using a multinomial logistic regression model with a ridge estimator.<br/>
 * <br/>
 * There are some modifications, however, compared to the paper of leCessie and van Houwelingen(1992): <br/>
 * <br/>

From source file machinelearningcw.EnhancedLinearPerceptron.java

/**
 *
 * @author ypf12pxu
 */
public class EnhancedLinearPerceptron extends AbstractClassifier {

From source file machinelearningcw.perceptronClassifier.java

/**
 *
 * @author adam
 */
public class perceptronClassifier extends AbstractClassifier {

From source file machinelearningproject.DecisionTree.java

/**
 *
 * @author Raches
 */
public class DecisionTree extends AbstractClassifier implements Serializable {

From source file machinelearningproject.RandomForest.java

/**
 *
 * @author Raches
 */
public class RandomForest extends AbstractClassifier implements Serializable {

From source file machine_learing_clasifier.MyC45.java

/**
 *
 * @author yoga
 */
public class MyC45 extends AbstractClassifier {