// Use this for initialization
public void Start() {
Stopper s = new Stopper();
Console.WriteLine("How many hidden nodes?");
hidden = int.Parse(Console.ReadLine());
Console.WriteLine("Epoch counter?");
int epochCtr = int.Parse(Console.ReadLine());
Console.WriteLine("Error threshold?");
s.errorThresh = float.Parse(Console.ReadLine());
Thread oThread = new Thread(new ThreadStart(s.run));
oThread.Start();
String outPath = "C:/Users/SwoodGrommet/Desktop/game-ai/Assets/Scripts/Datas/";
outputFile = "weights.txt";
sets = new ArrayList();
rec = new Recorder();
nn = new NeuralNetwork (input, output, hidden);
numWeights = (input * hidden) + (hidden * output) + (hidden + output);
weights = getRandomWeights (numWeights);
nn = new NeuralNetwork (input, output, hidden);
nn.setWeights (weights);
Console.WriteLine("chutzpah");
rec.read (this.sets);
read = true;
double changeDel = 0;
while (/*!trained &&*/ read) {
double errors = 0;
//do {
foreach (TrainingSet set in this.sets) {
setInputs(set.getInputs());
setTargets(set.getTargets());
errors += train();
}
//Debug.Log("Current error : " + errors);
//} while (error > 0.0001);
error = errors / sets.Count;
if (s.output) {
Console.WriteLine("Outputting weights to file");
this.weights = nn.getWeights();
nn.outputWeights(weights);
s.output = false;
}
if (s.errorThresh > error || s.stop) {
Console.WriteLine("All trainings are done!!!");
break;
}
//Console.WriteLine(ctr + ": " + errors);
if (ctr % epochCtr == 0) {
Console.WriteLine("epoch: " + ctr / epochCtr + "; error: " + error + "; Delta: " + (changeDel - error));
changeDel = error;
}
ctr++;
}
}
