public void run(bool full)
{
try
{
actual = new SP500Actual(INPUT_SIZE, OUTPUT_SIZE);
actual.load("sp500.csv", "prime.csv");
Console.WriteLine(@"Samples read: " + actual.size());
if (full)
{
network = createNetwork();
generateTrainingSets();
trainNetworkBackprop();
saveNeuralNetwork();
}
else
{
loadNeuralNetwork();
}
display();
}
catch (Exception e)
{
Console.WriteLine(e);
Console.WriteLine(e.StackTrace);
}
}
public void run(bool full)
{
try
{
actual = new SP500Actual(INPUT_SIZE, OUTPUT_SIZE);
actual.load("sp500.csv", "prime.csv");
Console.WriteLine(@"Samples read: " + actual.size());
if (full)
{
network= createNetwork();
generateTrainingSets();
trainNetworkBackprop();
saveNeuralNetwork();
}
else
{
loadNeuralNetwork();
}
display();
}
catch (Exception e)
{
Console.WriteLine(e);
Console.WriteLine(e.StackTrace);
}
}
