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); } }