private void outputError(MultiRegressionAlgorithmBase <double[]> alg)
{
Console.WriteLine("Errors:");
var errors = alg.GetErrors(GeneralUtils.ClassifiedToRegressionSample(Data.Data), 0, true);
var ec = errors.Count();
var dc = Data.Data.Count;
var pct = Math.Round(100.0F * ec / dc, 2);
Console.WriteLine("{0} of {1} ({2}%)", ec, dc, pct);
}
private void doMultilayerNNAlgorithmTest()
{
var alg = createBPAlg();
var now = DateTime.Now;
alg.Train(GeneralUtils.ClassifiedToRegressionSample(Data.TrainingSample));
Console.WriteLine("--------- ELAPSED TRAIN ----------" + (DateTime.Now - now).TotalMilliseconds);
Console.WriteLine("Loss function: " + alg.ErrorValue);
Console.WriteLine("Step: " + alg.Step2);
outputError(alg);
//Visualizer.Run(alg);
}