Example usage for weka.classifiers.functions.neural NeuralConnection OUTPUT

Introduction

In this page you can find the example usage for weka.classifiers.functions.neural NeuralConnection OUTPUT.

Prototype

int OUTPUT

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Document

This unit is an output unit.

Usage

From source file:CJWeka.java

License:Open Source License

/**
 * This will go through all the nodes and check if they are connected
 * to a pure output unit. If so they will be set to be linear units.
 * If not they will be set to be sigmoid units.
 *//*from   w w  w. j  a  va 2s.  c o  m*/
private void setEndsToLinear() {
    for (int noa = 0; noa < m_neuralNodes.length; noa++) {
        if ((m_neuralNodes[noa].getType() & NeuralConnection.OUTPUT) == NeuralConnection.OUTPUT) {
            ((NeuralNode) m_neuralNodes[noa]).setMethod(m_linearUnit);
        } else {
            ((NeuralNode) m_neuralNodes[noa]).setMethod(m_sigmoidUnit);
        }
    }
}

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From source file:com.ifmo.recommendersystem.metafeatures.classifierbased.internal.extractors.MultilayerPerceptron.java

License:Open Source License

/**
 * This will go through all the nodes and check if they are connected to a
 * pure output unit. If so they will be set to be linear units. If not they
 * will be set to be sigmoid units./* w w  w  .j  av  a2  s .  co m*/
 */
private void setEndsToLinear() {
    for (NeuralConnection m_neuralNode : m_neuralNodes) {
        if ((m_neuralNode.getType() & NeuralConnection.OUTPUT) == NeuralConnection.OUTPUT) {
            ((NeuralNode) m_neuralNode).setMethod(m_linearUnit);
        } else {
            ((NeuralNode) m_neuralNode).setMethod(m_sigmoidUnit);
        }
    }
}

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