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 machine_learing_clasifier.MyID3.java

/**
 *
 * @author yoga
 */
public class MyID3 extends AbstractClassifier {

From source file main.NaiveBayes.java

/**
 * <!-- globalinfo-start --> Class for a Naive Bayes classifier using estimator
 * classes. Numeric estimator precision values are chosen based on analysis of
 * the training data. For this reason, the classifier is not an
 * UpdateableClassifier (which in typical usage are initialized with zero
 * training instances) -- if you need the UpdateableClassifier functionality,

From source file meka.classifiers.multilabel.AbstractMultiLabelClassifier.java

/**
 *  A Multilabel Classifier.
 *    @author Jesse Read
 *  @version Jan 2015
 */

From source file ml.ann.MultiClassPTR.java

/**
 *
 * @author Ivana Clairine
 */
public class MultiClassPTR extends AbstractClassifier
        implements OptionHandler, WeightedInstancesHandler, Randomizable, Serializable {

From source file moa.classifiers.WEKAClassifier.java

public class WEKAClassifier extends AbstractClassifier {

    private static final long serialVersionUID = 1L;

    public WEKAClassOption baseLearnerOption = new WEKAClassOption("baseLearner", 'l', "Classifier to train.",
            weka.classifiers.Classifier.class, "weka.classifiers.bayes.NaiveBayesUpdateable");

From source file moa.tud.ke.patching.DSALearnerWrapper.java

/**
 * Wrapper class for explicit learning the decision regions which are classified
 * falsely. The actual classifier will be provided a binary class problem
 * (1=failure, 0=normal) If possible, and the classifier is enabled to do this
 * (e.g. ExtJRip), it can provide further information (an integer) on WHERE in
 * the decision space an instance lies.

From source file myID3.MyId3.java

/**
 *
 * @author ahmadshahab
 */
public class MyId3 extends AbstractClassifier {

From source file myJ48.MyJ48.java

/**
 *
 * @author ahmadshahab
 */
public class MyJ48 extends AbstractClassifier {

From source file NaiveBayes.NaiveBayes.java

/**
 *
 * @author Mujahid Suriah
 */
public class NaiveBayes extends AbstractClassifier {
    private Instances datatrain;

From source file naivebayes.NBTubesAI.java

public class NBTubesAI extends AbstractClassifier {

    //jumlah kelas pada dataset    

    //HashMap untuk menyimpan distribusi peluang NaiveBayes
    //Hashmap luar memetakan nama Attribut ke dalam hashmap bagian tengah