public void actionPerformed(final ActionEvent e) {
if (e.getSource() == this.calculateButton) {
try {
setDirty(true);
final BasicMLData input = new BasicMLData(this.inputCount);
for (int i = 0; i < this.inputCount; i++) {
double value = 0;
final String str = (String) this.inputTable.getValueAt(i, 1);
try {
value = Double.parseDouble(str);
} catch (final NumberFormatException e2) {
EncogWorkBench.displayError("Data Error", "Please enter a valid input number.");
}
input.setData(i, value);
}
final int output = getData().classify(input);
this.outputTable.setValueAt(output, 0, 1);
} catch (EncogError ex) {
EncogWorkBench.displayError("Query Error", ex.getMessage());
} catch (Throwable t) {
ErrorDialog.handleError(t, this.getEncogObject(), null);
}
}
}
public static void convertCSV2Binary(
File csvFile, CSVFormat format, File binFile, int[] input, int[] ideal, boolean headers) {
binFile.delete();
ReadCSV csv = new ReadCSV(csvFile.toString(), headers, format);
BufferedMLDataSet buffer = new BufferedMLDataSet(binFile);
buffer.beginLoad(input.length, ideal.length);
while (csv.next()) {
BasicMLData inputData = new BasicMLData(input.length);
BasicMLData idealData = new BasicMLData(ideal.length);
// handle input data
for (int i = 0; i < input.length; i++) {
inputData.setData(i, csv.getDouble(input[i]));
}
// handle input data
for (int i = 0; i < ideal.length; i++) {
idealData.setData(i, csv.getDouble(ideal[i]));
}
// add to dataset
buffer.add(inputData, idealData);
}
buffer.endLoad();
}