private void LearnButton_Click(object sender, RoutedEventArgs e)
{
NetworkParameters networkParameters = new NetworkParameters()
{
BiasesEnabled = (bool)BiasesCheckbox.IsChecked,
ClassesNumber = (int)ClassNumberSlider.Value,
LearningRate = (double)LearningRateSlider.Value,
Seed = (double)SeedSider.Value,
NumberOfEpochs = (int)NumberOfEpochsSlider.Value,
Momentum = (double)MomentumSlider.Value,
Layers = new List <NetworkLayer>(this.NetworkLayers)
};
if (ClassificationProblemTypeRadio.IsChecked == true)
{
networkParameters.Problem = ProblemType.CLASSIFICATION;
}
else if (RegressionProblemTypeRadio.IsChecked == true)
{
networkParameters.Problem = ProblemType.REGRESSION;
}
if (MseErrorRadio.IsChecked == true)
{
networkParameters.ErrType = ErrorType.MSE;
}
else if (MaeErrorRadio.IsChecked == true)
{
networkParameters.ErrType = ErrorType.MAE;
}
else if (ClassicErrorRadio.IsChecked == true)
{
networkParameters.ErrType = ErrorType.CLASSIC;
}
else if (CrossEntropyRadio.IsChecked == true)
{
networkParameters.ErrType = ErrorType.CROSS_ENTROPY;
}
LearningParameters learningParameters = new LearningParameters()
{
Points = new List <Structs.Point>(this.trainPoints)
};
try
{
Python.Learn(networkParameters, learningParameters);
}
catch (Exception exc)
{
MessageBox.Show(exc.Message);
}
}
