private async void Ucz_Siec_Click(object sender, RoutedEventArgs e)
{
BlakWait.Visibility = Visibility.Visible;
inputData = new InputClass();
if (Faces.Count < 1 || Faces == null)
{
MessageBox.Show("Error ! No data is loaded");
BlakWait.Visibility = Visibility.Collapsed;
return;
}
if (inputData.ValidateInput(TBLayers.Text, TBNeuronsInLayer.Text, ActivationFunction, CBObciazenie.SelectedIndex,
TBIteracje.Text, TBWspUczenia.Text, TBWspBezwladnosci.Text, peopleNumber) == false)
{
BlakWait.Visibility = Visibility.Collapsed;
return;
}
else
{
lblLearningError.Content = "...";
lblTestingError.Content = "...";
lblPeopleCount.Content = "...";
lblTimeElapsed.Content = "...";
lblValidationError.Content = "...";
lblIterationsCount.Content = "...";
await PerformCalculation();
lblLearningError.Content = inputData.LearningError;
lblTestingError.Content = inputData.TestingError;
lblPeopleCount.Content = inputData.PeopleCount;
lblTimeElapsed.Content = inputData.ElapsedTime.ToString();
lblValidationError.Content = inputData.ValidationError;
lblIterationsCount.Content = inputData.IterationsCount;
}
BlakWait.Visibility = Visibility.Collapsed;
}
private async void Ucz_Siec_Click(object sender, RoutedEventArgs e)
{
BlakWait.Visibility = Visibility.Visible;
inputData = new InputClass();
if (learningFaces.Count < 1 || learningFaces == null)
{
MessageBox.Show("Error ! No data is loaded");
BlakWait.Visibility = Visibility.Collapsed;
return;
}
if (testingFaces.Count < 1 || testingFaces == null)
{
MessageBox.Show("Error ! No data is loaded");
BlakWait.Visibility = Visibility.Collapsed;
return;
}
if (inputData.ValidateInput(TBLayers.Text, TBNeuronsInLayer.Text, ActivationFunction,
TBIteracje.Text, TBWspUczenia.Text, TBWspBezwladnosci.Text) == false)
{
BlakWait.Visibility = Visibility.Collapsed;
return;
}
else
{
LEnumber.Content = "---";
TEnumber.Content = "---";
Tnumber.Content = "---";
await PerformCalculation();
LEnumber.Content = inputData.learningError.ToString();
TEnumber.Content = inputData.testingError.ToString();
Tnumber.Content = inputData.timeElapsed.ToString();
}
BlakWait.Visibility = Visibility.Collapsed;
}
private async void ReportButton_Click(object sender, RoutedEventArgs e)
{
BlakWait.Visibility = Visibility.Visible;
inputData = new InputClass();
if (learningFaces.Count < 1 || learningFaces == null)
{
MessageBox.Show("Error ! No data is loaded");
BlakWait.Visibility = Visibility.Collapsed;
return;
}
if (testingFaces.Count < 1 || testingFaces == null)
{
MessageBox.Show("Error ! No data is loaded");
BlakWait.Visibility = Visibility.Collapsed;
return;
}
if (inputData.ValidateInput(TBLayers.Text, TBNeuronsInLayer.Text, ActivationFunction,
TBIteracje.Text, TBWspUczenia.Text, TBWspBezwladnosci.Text) == false)
{
BlakWait.Visibility = Visibility.Collapsed;
return;
}
else
{
await PerformReportDataCreation();
}
BlakWait.Visibility = Visibility.Collapsed;
}
public void RunTest(List <List <Face> > faces, string calcStartDate, TimeSpan timeFromStart, bool[] activeFeatures = null)
{
InputClass inputData = new InputClass();
inputData.ValidateInput((this.HiddenLayersCount).ToString(), (this.HiddenNeuronsCount).ToString(), new ActivationSigmoid(), this.IsBiased,
(this.IterationsCount).ToString(), (this.LearningFactor).ToString(), (this.Momentum).ToString(), this.PeopleCount);
this.PerformCalculation(inputData, faces, calcStartDate, timeFromStart, activeFeatures);
this.LearningError = inputData.LearningError;
this.TestingError = inputData.TestingError;
this.ElapsedTime = inputData.ElapsedTime;
}