Example usage for weka.classifiers RandomizableClassifier subclass-usage

Introduction

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

Usage

From source file GrowTree.java

public class GrowTree extends RandomizableClassifier {
    double distribution[];

    public static void main(String[] args) throws Exception {
        runClassifier(new GrowTree(), args);
        DataSource source = new DataSource(

From source file br.com.ufu.lsi.rebfnetwork.RBFModel.java

/**
 * Abstract super class that can be extended by sub classes that learn RBF models.
 *
 * @author Eibe Frank (eibe@cs.waikato.ac.nz)
 * @version $Revision: 8966 $
 */

From source file ml.engine.LibSVM.java

/**
 <!-- globalinfo-start --> 
 * A wrapper class for the libsvm tools (the libsvm
 * classes, typically the jar file, need to be in the classpath to use this
 * classifier).<br/>
 * LibSVM runs faster than SMO since it uses LibSVM to build the SVM classifier.<br/>

From source file org.esa.nest.gpf.SGD.java

/**
 * <!-- globalinfo-start -->
 * Implements stochastic gradient descent for learning various linear models
 * (binary class SVM, binary class logistic regression and linear regression).
 * Globally replaces all missing values and transforms nominal attributes into
 * binary ones. It also normalizes all attributes, so the coefficients in the