Example usage for weka.core Optimization setDebug

Introduction

In this page you can find the example usage for weka.core Optimization setDebug.

Prototype

public void setDebug(boolean db) 

Source Link

Document

Set whether in debug mode

Usage

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

License:Open Source License

/**
 * Builds the RBF network regressor based on the given dataset.
 *///from   www .j  a  va2 s  .c  om
public void buildClassifier(Instances data) throws Exception {

    // Set up the initial arrays
    m_data = initializeClassifier(data);

    if (m_ZeroR != null) {
        return;
    }

    // Initialise thread pool
    m_Pool = Executors.newFixedThreadPool(m_poolSize);

    // Apply optimization class to train the network
    Optimization opt = null;
    if (!m_useCGD) {
        opt = new OptEng();
    } else {
        opt = new OptEngCGD();
    }
    opt.setDebug(m_Debug);

    // No constraints
    double[][] b = new double[2][m_RBFParameters.length];
    for (int i = 0; i < 2; i++) {
        for (int j = 0; j < m_RBFParameters.length; j++) {
            b[i][j] = Double.NaN;
        }
    }

    m_RBFParameters = opt.findArgmin(m_RBFParameters, b);
    while (m_RBFParameters == null) {
        m_RBFParameters = opt.getVarbValues();
        if (m_Debug) {
            System.out.println("200 iterations finished, not enough!");
        }
        m_RBFParameters = opt.findArgmin(m_RBFParameters, b);
    }
    if (m_Debug) {
        System.out.println("SE (normalized space) after optimization: " + opt.getMinFunction());
    }

    m_data = new Instances(m_data, 0); // Save memory

    // Shut down thread pool
    m_Pool.shutdown();
}

---