public ActiveModelData GetParameters()
{
ActiveModelData data = new ActiveModelData();
//
data.IterType = m_cbIterationType.SelectedIndex;
data.IterValue = GetValue(m_eb_iterations.Text);
data.MinibatchSize = (uint)GetValue(ebMinibatchSize.Text);
//
data.LearnerType = (LearnerType)cbLearnerType.SelectedIndex;
data.LearningRate = GetValue(textLearningRate.Text);
data.Momentum = GetValue(txMomentum.Text);
data.L1Regularizer = GetValue(txtL1.Text);
data.L2Regularizer = GetValue(txtL2.Text);
//
data.NetworkType = cbNetworkSettings.SelectedIndex;
data.Neurons = (int)GetValue(netSedit1.Text);
data.HLayers = (int)GetValue(netSEdit2.Text);
data.Embeding = (int)GetValue(netSEdit3.Text);
data.DropRate = GetValue(netSeditdrop.Text);
data.UseStabilisation = checkStabilisation.Checked;
data.UseDropRate = checkDropRate.Checked;
//
data.ActivationHidden = (Activation)cActivationH.SelectedIndex;
data.ActivationOutput = (Activation)cActivationO.SelectedIndex;
//
data.LossFunction = (LossFunctions)cbEvalFunction.SelectedIndex;
data.EvaluationFunction = (LossFunctions)cbEvalFunction.SelectedIndex;
return(data);
}
public void SetParameters(ActiveModelData data)
{
//
m_cbIterationType.SelectedIndex = data.IterType;
m_eb_iterations.Text = data.IterValue.ToString(System.Globalization.CultureInfo.InvariantCulture);
ebMinibatchSize.Text = data.MinibatchSize.ToString();
currentIteration.Text = "0";
//
cbLearnerType.SelectedIndex = (int)data.LearnerType;
textLearningRate.Text = data.LearningRate.ToString(System.Globalization.CultureInfo.InvariantCulture);
txMomentum.Text = data.Momentum.ToString(System.Globalization.CultureInfo.InvariantCulture);
txtL1.Text = data.L1Regularizer.ToString(System.Globalization.CultureInfo.InvariantCulture);
txtL2.Text = data.L2Regularizer.ToString(System.Globalization.CultureInfo.InvariantCulture);
//
cbNetworkSettings.SelectedIndex = data.NetworkType;
netSedit1.Text = data.Neurons.ToString();
netSEdit2.Text = data.HLayers.ToString();
netSEdit3.Text = data.Embeding.ToString();
netSeditdrop.Text = data.DropRate.ToString();
checkStabilisation.Checked = data.UseStabilisation;
checkDropRate.Checked = data.UseDropRate;
//
cActivationH.SelectedIndex = (int)data.ActivationHidden;
cActivationO.SelectedIndex = (int)data.ActivationOutput;
cbLossFunction.SelectedIndex = (int)data.LossFunction;
cbEvalFunction.SelectedIndex = (int)data.EvaluationFunction;
}
/// <summary>
/// Deserilization of run condition
/// </summary>
/// <param name="p"></param>
public void ActivatePanel(ActiveModelData data, ANNModel model)
{
SetParameters(data);
//clear previous data if exist
lossFunction.Clear();
evalFunciton.Clear();
actualData.Clear();
predictedData.Clear();
//prepare graphs
PrepareGraphs(model);
//update loss and eval
for (int i = 0; i < model.LossData.Count; i++)
{
updateChartFitness(i, model.LossData[i], model.EvalData[i], false);
}
//update mdoel
updateChartData(model.ActualT, model.PredictedT);
zedFitness.RestoreScale(zedFitness.GraphPane);
this.zedModel.RestoreScale(zedModel.GraphPane);
}
private void ShowView(string guid)
{
try
{
Cursor.Current = Cursors.WaitCursor;
var p = Controller.GetView(guid);
this.Text = "Start Page";
Controller.ActiveView = p;
if (p == null)
{
//disable model commands
ribbonPanel3.Enabled = false;
ribbonPanel2.Enabled = false;
ribbonPanel5.Enabled = false;
return;
}
//
if (p is ProjectController)
{
var pController = (ProjectController)p;
this.Text = pController.Project.Name;
if (pController.Project.DataSet != null)
{
expPanel1.SetDataSet(pController.Project.DataSet);
}
//disable model commands
ribbonPanel3.Enabled = false;
ribbonPanel2.Enabled = false;
ribbonPanel5.Enabled = true;
//enable project commands
}
else if (p is ANNModel)
{
var pModel = (ANNModel)p;
runPanel1.Reset(pModel);
if (pModel.ModelData == null)
{
runPanel1.ActivatePanel(ActiveModelData.GetDefaults2(), pModel);
}
else
{
runPanel1.ActivatePanel(pModel.ModelData, pModel);
}
testPanel1.ActivatePanel(pModel);
this.Text = pModel.Name;
//enable model commands
ribbonPanel3.Enabled = true;
ribbonPanel2.Enabled = true;
ribbonPanel5.Enabled = false;
}
}
catch (Exception ex)
{
ReportException(ex);
// throw;
}
finally
{
//back normal cursor
Cursor.Current = Cursors.Default;
}
}
/// <summary> /// Start training process for the specified model /// </summary> /// <param name="model"></param> /// <param name="setData"></param> /// <param name="report"></param> /// <param name="token"></param> public void Run(ANNModel model, ActiveModelData setData, Action <int, float, float, (List <List <float> >, List <List <float> >, List <List <float> >), (List <List <float> >, List <List <float> >, List <List <float> >)> report, CancellationToken token)
internal void Run(ActiveModelData setData, Action <int, float, float, (List <List <float> >, List <List <float> >, List <List <float> >), (List <List <float> >, List <List <float> >, List <List <float> >)> report, CancellationToken token)
public void Reset(ANNModel model)
{
ResetChart();
PrepareGraphs(model);
SetParameters(ActiveModelData.GetDefaults());
}
