/// <summary>
/// Trains a random trainer.
/// </summary>
/// <param name="inputs">The inputs.</param>
/// <param name="predictWindow">The predict window.</param>
public static void RandomTrainerMethod(int inputs, int predictWindow)
{
double[] firstinput = MakeInputs(inputs);
double[] SecondInput = MakeInputs(inputs);
double[] ThirdInputs = MakeInputs(inputs);
double[] FourthInputs = MakeInputs(inputs);
var pair = SuperUtilsTrainer.ProcessPairs(firstinput, FourthInputs, inputs, predictWindow);
var pair2 = SuperUtilsTrainer.ProcessPairs(SecondInput, FourthInputs, inputs, predictWindow);
var pair3 = SuperUtilsTrainer.ProcessPairs(ThirdInputs, FourthInputs, inputs, predictWindow);
var pair4 = SuperUtilsTrainer.ProcessPairs(FourthInputs, FourthInputs, inputs, predictWindow);
BasicMLDataSet SuperSet = new BasicMLDataSet();
SuperSet.Add(pair);
SuperSet.Add(pair2);
SuperSet.Add(pair3);
SuperSet.Add(pair4);
SupportVectorMachine machine = Create(SuperSet, inputs);
SVMTrain train = new SVMTrain(machine, SuperSet);
/// var network = (BasicNetwork)CreateEval.CreateElmanNetwork(SuperSet.InputSize, SuperSet.IdealSize);
//double error = CreateEval.TrainNetworks(machine, SuperSet);
TrainSVM(train, machine);
//Lets create an evaluation.
// Console.WriteLine(@"Last error rate on random trainer:" + error);
}
private static BasicMLDataSet MakeAsets(int inputs, int predictWindow)
{
double[] firstinput = MakeInputs(inputs);
double[] SecondInput = MakeInputs(inputs);
double[] ThirdInputs = MakeInputs(inputs);
double[] FourthInputs = MakeInputs(inputs);
var pair = SuperUtilsTrainer.ProcessPairs(firstinput, FourthInputs, inputs, predictWindow);
var pair2 = SuperUtilsTrainer.ProcessPairs(SecondInput, FourthInputs, inputs, predictWindow);
var pair3 = SuperUtilsTrainer.ProcessPairs(ThirdInputs, FourthInputs, inputs, predictWindow);
var pair4 = SuperUtilsTrainer.ProcessPairs(FourthInputs, FourthInputs, inputs, predictWindow);
BasicMLDataSet SuperSet = new BasicMLDataSet();
SuperSet.Add(pair);
SuperSet.Add(pair2);
SuperSet.Add(pair3);
SuperSet.Add(pair4);
return(SuperSet);
}
