private void StartTrainButton_Click(object sender, RoutedEventArgs eventArgs)
{
if (Network == null || TrainingData == null)
{
MessageBox.Show("You didn't create network or get data points!\n");
}
else
{
try
{
TrainingParameters p = GetParameters();
StandardTrainingObserver sno = Network.Dimensions == 2 ? new StandardTrainingObserver() : null;
Network.Observer = sno;
Network.Train(p);
IErrorCalculator err = new QuantizationErrorCalculator()
{
DistanceCalculator = Network.DistanceCalculator
};
SomInformation.Text += $"\nSom trained. Quantization error: {err.CalculateError(Network.Neurons, TrainingData):F} ";
if (sno != null)
{
DisplayIfTwoDimensional(sno);
}
}
catch (Exception e)
{
MessageBox.Show(e.Message);
}
}
}
private void DisplayIfTwoDimensional(StandardTrainingObserver sno)
{
if (Network.Dimensions == 2)
{
if (SingleSeriesCheckBox.IsChecked == true)
{
List <OxyPlot.Wpf.Series> moving =
View.Utility.Converter.ConvertToScatterSeries(sno.HistoryOfNeurons);
var scattersData = new List <ScatterPoint>();
foreach (var train in TrainingData)
{
var x = train.At(0);
var y = train.At(1);
scattersData.Add(new ScatterPoint(x, y));
}
var stat = new OxyPlot.Wpf.ScatterSeries
{
ItemsSource = scattersData,
Title = $"Training points",
MarkerSize = 2,
MarkerFill = Color.FromRgb(140, 131, 130)
};
ChartWindow chw1 = new ChartWindow(stat, moving);
chw1.Show();
}
if (MultipleSeriesCheckbox.IsChecked == true)
{
List <List <OxyPlot.Wpf.Series> > series = new List <List <Series> >();
List <List <Vector <double> > > history = Network.Observer.HistoryOfNeurons;
for (int j = 0; j < history.Count; j++)
{
var epoch = history[j];
if (j % 4 == 0)
{
List <OxyPlot.Wpf.Series> group = new List <Series>();
Dictionary <Neuron, List <Vector <double> > > neuronZones =
new Dictionary <Neuron, List <Vector <double> > >();
int i = 0;
foreach (var neuron in Network.Neurons)
{
neuronZones.Add(neuron, new List <Vector <double> >());
neuron.CurrentWeights = epoch[i];
i++;
}
foreach (var data in TrainingData)
{
neuronZones[Network.GetWinner(data)].Add(data);
}
foreach (var neuronZone in neuronZones)
{
var scatterSet = new List <ScatterPoint>();
scatterSet.Add(
Converter.ConvertVectorToScatterPoint(neuronZone.Key.CurrentWeights, true));
var points = neuronZone.Value;
foreach (var point in points)
{
scatterSet.Add(Converter.ConvertVectorToScatterPoint(point));
}
group.Add(new OxyPlot.Wpf.ScatterSeries
{
ItemsSource = scatterSet,
Title = $"Class",
MarkerSize = 3
});
}
series.Add(group);
}
}
ChartWindow chw2 = new ChartWindow(series);
chw2.Show();
}
}
}
