public override void TrainNetwork()
{
IMLTrain train = new SVMSearchTrain(Svm, TrainingSet);
var iteration = 1;
var errors = new List<double[]>();
do
{
train.Iteration();
errors.Add(new[] { -1, iteration, train.Error });
Console.WriteLine(@"Iteration #" + iteration++ + @" Training error:" + train.Error);
} while ((iteration < Parameters.IterationsCount) && (train.Error > Parameters.AcceptedError));
train.FinishTraining();
ErrorSet = errors.ToArray();
}
public static SupportVectorMachine SVMSearch(SupportVectorMachine anetwork, IMLDataSet training)
{
SVMSearchTrain bestsearch = new SVMSearchTrain(anetwork, training);
StopTrainingStrategy stop = new StopTrainingStrategy(0.00000000001, 1);
bestsearch.AddStrategy(stop);
while (bestsearch.IterationNumber < 30 && !stop.ShouldStop())
{
bestsearch.Iteration();
Console.WriteLine("Iteration #" + bestsearch.IterationNumber + " Error :" + bestsearch.Error);
}
bestsearch.FinishTraining();
return anetwork;
}