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 com.walmart.productgenome.matching.models.EMSRandomForest.java

/**
 <!-- globalinfo-start -->
 * Class for constructing a forest of random trees.<br/>
 * <br/>
 * For more information see: <br/>
 * <br/>

From source file de.ugoe.cs.cpdp.training.FixClass.java

/**
 * Simple classifier that always predicts the same class
 * 
 * @author Steffen Herbold
 */
public class FixClass extends AbstractClassifier {

From source file dewaweebtreeclassifier.Sujeong.java

/**
 *
 * @author Aufar
 */
public class Sujeong extends AbstractClassifier {
    Sujeong[] children = null;

From source file dewaweebtreeclassifier.veranda.VerandaTree.java

/**
 *
 * @author Ahmad
 */
public class VerandaTree extends AbstractClassifier implements Sourcable {

From source file dewaweebtreeclassifier.Veranda.java

/**
 * Veranda is a decision tree classifier model based on ID3 Decision Tree Algorithm
 * @author Ahmad
 */
public class Veranda extends AbstractClassifier {

From source file experimentalclassifier.HardCodedClassifier.java

/**
 *
 * @author ejones23
 */
public class HardCodedClassifier extends AbstractClassifier {

From source file ffnn.FFNNTubesAI.java

/**
 *
 * @author MaximaXL
 */
public class FFNNTubesAI extends AbstractClassifier {

From source file ffnn.MultilayerPerceptron.java

/**
 * <!-- globalinfo-start --> A Classifier that uses backpropagation to classify
 * instances.<br/>
 * This network can be built by hand, created by an algorithm or both. The
 * network can also be monitored and modified during training time. The nodes in
 * this network are all sigmoid (except for when the class is numeric in which

From source file FFNN.MultiplePerceptron.java

/**
 *
 * @author Mujahid Suriah
 */
public class MultiplePerceptron extends AbstractClassifier {
    ArrayList<Node> listNodeHidden;

From source file ffnn_2.ANN.java

/**
 *
 * List pertanyaan terhadap model: 
 * - Bagaimana cara evaluate model? 
 *      Harus bikin fungsi classifyInstance dan buildClassifier
 *