Example usage for weka.classifiers Classifier subclass-usage

List of usage examples for weka.classifiers Classifier subclass-usage

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Introduction

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

Usage

From source file j48.model.java

/**
 *
 * @author Teofebano
 */
public class model extends Classifier {

From source file j48.node.java

/**
 *
 * @author Teofebano
 */
public class node extends Classifier {
    // attribute

From source file knn.KNNClassifier.java

/**
 *
 * @author Mark
 */

public class KNNClassifier extends Classifier {

From source file knnclassifier.KNNClassifier.java

/**
 *
 * @author Mark
 */

public class KNNClassifier extends Classifier {

From source file lascer.WekaClassifier.java

/**
 * Classifier for Weka by using Lascer.<P>
 *
 * ATTENTION: When using the standard package of weka, all integer attributes
 * are handled as real attributes.
 *

From source file learning.DMRandomForest.java

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

From source file library.MikeJ48.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.
 * <p/>

From source file machinelearning.HardCodedClassifier.java

/**
 *
 * @author Schuyler
 */
public class HardCodedClassifier extends Classifier {
    @Override

From source file machinelearning.KnnClassifier.java

/**
 *
 * @author Schuyler
 */
public class KnnClassifier extends Classifier {
    private Instances trainingData;

From source file MyANN.MultiLayerPerceptron.Networks.java

/**
 *
 * @author Teofebano
 */
public class Networks extends Classifier {
    // Main Attributes