//async void test(int iter)
//{
// var idx = pos % resultData.input.Count;
// var net = network.Clone();
// net.learningRate = network.learningRate;
// await Task.Run(() =>
// {
// try
// {
// var rmseTrain = CalcRMSE(net, trainData, 250) * KeypointData.origImgSize;
// var rmseTest = CalcRMSE(net, testData, 250) * KeypointData.origImgSize;
// zedTrain.Add(iter, rmseTrain);
// zedTrain.Sort((a, b) => a.X.CompareTo(b.X));
// zedTest.Add(iter, rmseTest);
// zedTest.Sort((a, b) => a.X.CompareTo(b.X));
// Console.WriteLine();
// Console.WriteLine("iteration: " + idx);
// Console.WriteLine("learning rate: " + net.learningRate);
// Console.WriteLine("train: " + rmseTrain);
// Console.WriteLine("test: " + rmseTest);
// Console.WriteLine();
// }
// catch (Exception e)
// {
// Console.WriteLine();
// Console.WriteLine(e);
// Console.WriteLine();
// }
// });
// // net.Save("network_" + iter + ".dat");
// clonedNet = net;
// zedGraphControl1.AxisChange();
// pos++;
// Refresh();
//}
void test(int iter)
{
var idx = pos % resultData.input.Count;
var net = network.Clone();
net.learningRate = network.learningRate;
try
{
var rmseTrain = CalcRMSE(net, trainData, 250) * KeypointData.origImgSize;
var rmseTest = CalcRMSE(net, testData, 250) * KeypointData.origImgSize;
zedTrain.Add(iter, rmseTrain);
zedTrain.Sort((a, b) => a.X.CompareTo(b.X));
zedTest.Add(iter, rmseTest);
zedTest.Sort((a, b) => a.X.CompareTo(b.X));
Console.WriteLine();
Console.WriteLine("iteration: " + idx);
Console.WriteLine("learning rate: " + net.learningRate);
Console.WriteLine("train: " + rmseTrain);
Console.WriteLine("test: " + rmseTest);
Console.WriteLine();
}
catch (Exception e)
{
Console.WriteLine();
Console.WriteLine(e);
Console.WriteLine();
}
// net.Save("network_" + iter + ".dat");
clonedNet = net;
zedGraphControl1.AxisChange();
pos++;
Refresh();
}
