private void ResetSimulations()
{
foreach (var simulation in simulations)
{
simulation.Reset();
}
TrainSeriesSource.Clear();
TestSeriesSource.Clear();
latexFile.Clear();
EnableButtons();
}
private void TrainSimulation(int simulationNumber, bool allSimlations = false)
{
if (trainTimer != null)
{
trainTimer.Stop();
trainTimer = null;
}
int epoch = 0;
var simulation = simulations[simulationNumber];
int maxEpoch = allSimlations ? simulation.MaxEpoch : -1;
currentSimulationNumber = simulationNumber;
if (simulation.Config.Network == "SOMNetwork")
{
ShowColorWindow();
colorWindow?.Update(simulations?[currentSimulationNumber]?.GetFeature(0, new List <float>()));
}
trainTimer = new Timer();
trainTimer.Interval = 1;
trainTimer.Tick += (s, args) =>
{
float error = 0;
if (simulations?[currentSimulationNumber]?.Config.Network == "SOMNetwork")
{
error = simulation.TrainSOM();
if (true || epoch % 10 == 0)
{
colorWindow?.Update(simulations?[currentSimulationNumber]?.GetFeature(0, new List <float>()));
}
}
else
{
error = simulation.TrainAutoencoder(imageParser.TrainData);
//float correctTrain = simulation.TestSoftMax(imageParser.TrainData);
//float correctTest = simulation.TestSoftMax(imageParser.TestData);
//AddTrainSeriesValue(correctTrain);
//AddTestSeriesValue(correctTest);
}
AddTrainSeriesValue(error);
//LogSimulationTrainStep(simulation, simulationNumber, epoch, correctTrain, correctTest);
epoch++;
if (maxEpoch > 0 && epoch >= maxEpoch)
{
trainTimer.Dispose();
}
};
trainTimer.Start();
trainTimer.Disposed += (sender, args) =>
{
if (simulationNumber + 1 < simulations.Count)
{
TrainSeriesSource.Clear();
TestSeriesSource.Clear();
epoch = 0;
TrainSimulation(simulationNumber + 1, allSimlations);
}
else
{
latexFile.Generate(imageParser.TestData);
StopBtn.IsEnabled = false;
LoadBtn.IsEnabled = true;
EnableButtons();
MessageBox.Show("Success");
}
};
}