private void confirmDataButton_Click(object sender, RoutedEventArgs e)
{
if ((bool)swapOrderCheckBox.IsChecked)
{
dataHolder.Shuffle();
}
int learningPercent = (int)learningDataSlider.Value;
int validatePercent = (int)validateDataSlider.Value;
int testingPercent = (int)testingDataSlider.Value;
MyCustomMessage customMessage = new MyCustomMessage()
{
Owner = this,
Message = "Trwa dzielenie danych..."
};
customMessage.Show();
dataHolder.Load();
dataHolder.Separate(learningPercent, validatePercent, testingPercent);
customMessage.Close();
MessageBox.Show(this, "Dane zostały podzielone");
ShowDataGroupBox.IsEnabled = true;
showDataComboBox_SelectionChanged(null, null);
}
private void initData()
{
neuralNetwork = null;
neuralNetStatus.Content = "Brak";
LearningSettingsGroupBox.IsEnabled = false;
ShowDataGroupBox.IsEnabled = false;
expectedOutputLabel.Content = "";
neuralNetOutputLabel.Content = "";
outputProbabilityLabel.Content = "";
MyCustomMessage customMessage = new MyCustomMessage()
{
Owner = this,
Message = "Trwa ładowanie danych..."
};
customMessage.Show();
Thread thread = new Thread(() => { dataHolder.Load(); });
thread.Start();
thread.Join();
List <BitArray> distinctOutputs = dataHolder.GetDistinctOutputs();
Dictionary <int, BitArray> translatedOutputs = dataHolder.GetTranslateOutputs(distinctOutputs);
outputConverter = new OutputConverter();
foreach (KeyValuePair <int, BitArray> entry in translatedOutputs)
{
outputConverter.AddItem(entry.Value, entry.Key);
}
imageViewer = new ImageViewer(ImageGrid, dataHolder.ImageHeight, dataHolder.ImageWidth);
DataSettingsGroupBox.IsEnabled = true;
dataStatus.Content = "Rekordów: " + dataHolder.Items.Count;
customMessage.Close();
MessageBox.Show(this, "Wczytano " + dataHolder.Items.Count + " rekordów");
}
