| private PromptDouble ( string name, double d ) : double | ||
| name | string | |
| d | double | |
| return | double | |
private void TrainCommand()
{
String methodFile = _cmd.Args[0];
String trainingFile = _cmd.Args[1];
String type = _cmd.PromptString("type", "rprop");
String args = _cmd.PromptString("args", "");
double maxError = _cmd.PromptDouble("maxError", 0.01);
var dataSet = new BufferedMLDataSet(trainingFile);
var method = (IMLMethod)EncogDirectoryPersistence.LoadObject(new FileInfo(methodFile));
var factory = new MLTrainFactory();
IMLTrain train = factory.Create(method, dataSet, type, args);
_sw.Start();
EncogUtility.TrainToError(train, maxError);
Console.WriteLine(@"Saving machine learning method");
EncogDirectoryPersistence.SaveObject(new FileInfo(methodFile), method);
}
