@Override
public void resultChanged(LookupEvent le) {
Lookup.Result r = (Lookup.Result) le.getSource();
Collection c = r.allInstances();
if (!c.isEmpty()) {
dataset = (DataSet) c.iterator().next();
datasetTextField.setEnabled(true);
datasetTextField.setText(dataset.getLabel());
graphTypeCombo.removeAllItems();
if (nnet != null && dataset != null) {
graphTypeCombo.addItem(new OutputSurface3D(nnet, dataset));
graphTypeCombo.addItem(new ErrorSurface3D(nnet, dataset));
graphTypeCombo.addItem(new OutputForAttributeSurface3D(nnet, dataset));
graphTypeCombo.addItem(new ErrorForAttributeSurface3D(nnet, dataset));
datasetRowCount = dataset.getRows().size();
drawButton.setEnabled(true);
}
}
}
@Override
public void learn(DataSet trainingSet) {
for (int phase = 0; phase < 2; phase++) {
for (int k = 0; k < iterations[phase]; k++) {
Iterator<DataSetRow> iterator = trainingSet.iterator();
while (iterator.hasNext() && !isStopped()) {
DataSetRow trainingSetRow = iterator.next();
learnPattern(trainingSetRow, nR[phase]);
} // while
currentIteration = k;
// this.notifyChange();
fireLearningEvent(new LearningEvent(this, LearningEventType.EPOCH_ENDED));
if (isStopped()) return;
} // for k
learningRate = learningRate * 0.5;
} // for phase
}
public ErrorSurface3D(NeuralNetwork nnet, DataSet dataset) {
dataProvider3D = new ErrorDataProvider3D(dataset, nnet);
dataSetRowCount = dataset.getRows().size();
outputNeuronCount = nnet.getOutputsCount();
}
