private void Window_Activated(object sender, EventArgs e)
{
learning_Sample = liveParams.Learning_Sample;
forTestingPercent = liveParams.ForTestingPercent;
countOfNets = liveParams.CountOfNets;
learningTemp = liveParams.LearningTemp;
isEpoch = liveParams.IsEpoch;
isCost = liveParams.IsCost;
epochCount = liveParams.Epoch;
cost = liveParams.Cost;
nets = liveParams.Nets;
currEpoch = liveParams.CurrEpoch;
currCost = liveParams.CurrCost;
points = liveParams.Points;
StopLearning_button.IsEnabled = false;
ForTesting_textBox.Text = Convert.ToString(forTestingPercent);
//CountOfNets_textBox.Text = Convert.ToString(countOfNets);
learninTemp_textBox.Text = Convert.ToString(learningTemp);
Epoch_textBox.Text = Convert.ToString(epochCount);
Cost_textBox.Text = Convert.ToString(cost);
CurrErrorNum_label.Content = Convert.ToString(currCost);
CurrEpochNum_label.Content = Convert.ToString(currEpoch);
Epoch_checkBox.IsChecked = isEpoch;
Cost_checkBox.IsChecked = isCost;
if (points != null)
{
foreach (Point point in points)
{
viewModel.Data.Collection.Add(new Point(point.X, point.Y));
}
}
}
private void LerningSet_window_Activated(object sender, EventArgs e)
{
learning_Sample = liveParams.Learning_Sample;
drawVectors();
countOfSecretLayers = liveParams.CountOfSecretLayers;
SecretLayers_textBox.Text = Convert.ToString(countOfSecretLayers);
layers = liveParams.Layers;
createLayers();
LS_window_ListBox_input.SelectedItem = LS_window_ListBox_input.Items.GetItemAt(0);
}
public LiveParams()
{
path = null;
learning_Sample = null;
layers = new LinkedList <Layer>();
nets = new LinkedList <NeuralNetwork>();
countOfSecretLayers = 0;
epoch = 10000;
forTestingPercent = 80;
countOfNets = 1;
learningTemp = 0.01f;
cost = 0.5f;
isCost = false;
isEpoch = false;
currEpoch = 0;
currCost = 0f;
}
