public Task <TrainingResult> Train(bool liveTracking)
{
return(Task.Run(() =>
{
int inputSize = NetworkSampleInput.InputSize(NumberOfVertices);
Random random = new Random(Seed);
Network network = NetworkBuilder.Build(new NetworkDefinition(FunctionName.ReLU, inputSize, NumberOfVertices, HiddenLayers), new He(Seed));
Optimizer optimizer = new SGDMomentum(network, LearningRate, Momentum);
Trainer trainer = new Trainer(optimizer, random);
GraphPath[] trainingGraphs = GraphGenerator.Generate(random, NumberOfGraphs, NumberOfVertices).Select(Dijkstra.Find).ToArray();
NetworkSample[] trainingData = NetworkSampleGenerator.Generate(trainingGraphs).ToArray();
MeanSquareErrorMonitor monitor = new MeanSquareErrorMonitor();
trainer.Monitors.Add(monitor);
if (liveTracking)
{
trainer.Monitors.Add(new TrainingMonitor(Name));
}
trainer.Train(trainingData, Epoches, BatchSize);
lock (ThreadLock)
{
double error = MeanSquareErrorMonitor.CalculateError(network, trainingData);
Console.WriteLine($"[{Name}] Seed: {Seed,12} Momentum: {Momentum,-6} Learning Rate: {LearningRate,-6} MSE: {error}");
}
return new TrainingResult(Name, monitor.CollectedData as IEnumerable <double>, network, trainingGraphs, trainingData);
}));
}
protected void OnSelectedGraphIndexChanged()
{
Text = $"{selectedGraphIndex + 1}/{Graphs.Length}";
GraphPath graphPath = Graphs[selectedGraphIndex];
Graph graph = graphPath.Graph;
graphPainter = new GraphPainter(graphPath);
graphPainter.Scale = Math.Min(ClientSize.Width, ClientSize.Height);
dijkstraPathPainter = new GraphPathPainter(graphPainter, graphPath.Path, dijkstraPathPen);
var input = new NetworkSampleInput(graphPath.Graph, 0);
bool[] visitStatus = new bool[graph.Vertices.Length];
visitStatus[0] = true;
int currentVertex = 0;
List <int> path = new List <int>();
path.Add(currentVertex);
do
{
visitStatus[currentVertex] = true;
input.SetCurrentVertex(currentVertex);
double[] prediction = Network.Evaluate(input.Values);
currentVertex = prediction.IndexOfMax(0);
path.Add(currentVertex);
}while (visitStatus[currentVertex] == false && currentVertex != graph.Vertices.Length - 1);
networkPathPainter = new GraphPathPainter(graphPainter, path.ToArray(), networkPathPen);
Refresh();
}
public static NetworkSample Create(GraphPath graphPath, int currentVertex, int label)
{
NetworkSampleInput input = new NetworkSampleInput(graphPath.Graph, currentVertex);
double[] output = new double[graphPath.Graph.Vertices.Length];
output[label] = 1;
return(new NetworkSample(graphPath, currentVertex, input.Values, output));
}