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package org.neuroph.eval.classification;
import org.neuroph.core.NeuralNetwork;
import org.neuroph.core.Neuron;
import org.neuroph.util.plugins.PluginBase;
/**
* Classifier plugin for neurla networks
* @author zoran
*/
public class Classifier extends PluginBase {
double threshold = 0.5;
public String classify(double[] pattern) {
NeuralNetwork> nnet = getParentNetwork();
nnet.setInput(pattern);
nnet.calculate();
Neuron maxNeuron = null;
double maxOutput = Double.MIN_VALUE;
for (Neuron neuron : nnet.getOutputNeurons()) {
if (neuron.getOutput() > maxOutput) {
maxOutput = neuron.getOutput();
maxNeuron = neuron;
}
}
if (maxOutput > threshold)
return maxNeuron.getLabel();
else
return null;
}
}
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