Example usage for weka.classifiers Classifier interface-usage

Introduction

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

Usage

From source file MeansClassifier.java

/**
 *
 * @author ysj13kxu
 */
public class MeansClassifier implements Classifier {

From source file boostingPL.boosting.AdaBoost.java

/**
 * Adaptive Boosting
 * 
 * @author Ranler Cao  findfunaax@gmail.com
 *
 */

From source file boostingPL.boosting.AdaBoostPL.java

public class AdaBoostPL implements Classifier {

    private Classifier[][] classifiers;
    private double[] corWeights;

    public AdaBoostPL(Classifier[][] classifiers, double[][] corWeights) {

From source file boostingPL.boosting.SAMME.java

public class SAMME implements Boosting, Classifier {

    /** training instances */
    private Instances insts;

    /** the number of iteration */

From source file boostingPL.boosting.SAMMEPL.java

public class SAMMEPL implements Classifier {

    private Classifier[][] classifiers;
    private double[][] corWeights;

    public SAMMEPL(Classifier[][] classifiers, double[][] corWeights) {

From source file cn.ict.zyq.bestConf.COMT2.COMT2.java

public class COMT2 implements Classifier {

    private static final int ModelNum = 2;

    private Instances labeledInstances, unlabeledInstances, unlabeldPool;
    private M5P[] models;

From source file edu.oregonstate.eecs.mcplan.ml.Memorizer.java

/**
 * @author jhostetler
 *
 */
public class Memorizer implements Classifier, Serializable {
    /**

From source file machinelearningcw.RandomLinearPerceptron.java

/**
 *
 * @author ypf12pxu
 */
public class RandomLinearPerceptron implements Classifier {

From source file machinelearninglabs.OENaiveBayesClassifier.java

/**
 *
 * @author aku12vtu
 */
public class OENaiveBayesClassifier implements Classifier {

From source file machinelearningq2.BasicNaiveBayesV1.java

/**
 *
 * @author Luke
 */
public class BasicNaiveBayesV1 implements Classifier {

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