public static double calculateRegressionError(MLRegression method, MLDataSet data) {
final ErrorCalculation errorCalculation = new ErrorCalculation();
if (method instanceof MLContext) ((MLContext) method).clearContext();
for (final MLDataPair pair : data) {
final MLData actual = method.compute(pair.getInput());
errorCalculation.updateError(
actual.getData(), pair.getIdeal().getData(), pair.getSignificance());
}
return errorCalculation.calculate();
}
public void perform(Frame owner) {
try {
final InputValidationChart dialog = new InputValidationChart();
if (dialog.process()) {
method = dialog.getNetwork();
training = dialog.getTrainingSet();
if (method instanceof MLContext) ((MLContext) method).clearContext();
ResultValidationChart chart = new ResultValidationChart();
chart.setData(training, method);
EncogWorkBench.getInstance()
.getMainWindow()
.getTabManager()
.openModalTab(chart, "Validation");
}
} catch (Throwable t) {
EncogWorkBench.displayError("An Error Occured", t);
}
}