/// <summary>
/// Number of hidden layers changed
/// </summary>
private void NudHiddenLayersValueChanged(object sender, EventArgs e)
{
if (_predictor != null)
{
if (MessageBox.Show("ChangedNetwork", "Warning", MessageBoxButtons.OKCancel, MessageBoxIcon.Warning) == DialogResult.OK)
{
_predictor = null;
}
}
}
/// <summary>
/// Predict the values
/// </summary>
private void BtnPredictClick(object sender, EventArgs e)
{
if (_dgvPredictionResults.Rows.Count != 0)
{
_dgvPredictionResults.Rows.Clear();
}
if (_predictor == null) /*The network is untrained*/
{
_reloadFiles = false;
switch (MessageBox.Show("UntrainedPredictorWarning", "NoNetwork", MessageBoxButtons.YesNoCancel, MessageBoxIcon.Information))
{
case DialogResult.Yes:
break;
case DialogResult.No:
/*Load the network*/
this.Cursor = Cursors.WaitCursor;
_hiddenLayers = (int)_nudHiddenLayers.Value;
_hiddenUnits = (int)_nudHiddenUnits.Value;
try
{
_predictor = new PredictIndicators(listPredicInput, _hiddenUnits, _hiddenLayers);
}
catch (Exception ex)
{
MessageBox.Show(ex.Message, "Exception", MessageBoxButtons.OK, MessageBoxIcon.Error);
_predictor = null;
return;
}
finally
{
this.Cursor = Cursors.Default;
}
using (OpenFileDialog ofd = new OpenFileDialog()
{
FileName = "predictor.ntwrk", Filter = "*.ntwrk"
})
{
if (ofd.ShowDialog() == System.Windows.Forms.DialogResult.OK)
{
try
{
_predictor.LoadNeuralNetwork(Path.GetFullPath(ofd.FileName));
}
catch
{
MessageBox.Show("Exception", "Exception", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
}
}
break;
case DialogResult.Cancel:
return;
}
}
DateTime predictFrom = _dtpPredictFrom.Value;
DateTime predictTo = _dtpPredictTo.Value;
if (predictFrom.Date > predictTo.Date)
{
MessageBox.Show("PredictFromToWarning", "BadParameters", MessageBoxButtons.OK, MessageBoxIcon.Information);
_dtpPredictFrom.Focus();
return;
}
if (_predictor == null)
{
Cursor = Cursors.WaitCursor;
_hiddenLayers = (int)_nudHiddenLayers.Value;
_hiddenUnits = (int)_nudHiddenUnits.Value;
try
{
_predictor = new PredictIndicators(listPredicInput, _hiddenUnits, _hiddenLayers);
}
catch (Exception ex)
{
MessageBox.Show(ex.Message, "Exception", MessageBoxButtons.OK, MessageBoxIcon.Error);
_predictor = null;
return;
}
finally
{
Cursor = Cursors.Default;
}
}
PredicResults predicResults;
List <PredicResults> results = null;
try
{
results = _predictor.Predict(predictFrom, predictTo);
//predicResults = _predictor.Predict();
}
catch (Exception ex)
{
MessageBox.Show(ex.Message, "Exception", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
foreach (var item in results)
{
_dgvPredictionResults.Rows.Add(item.Date.ToShortDateString(), item.ActualClose,
item.PredictedClose.ToString("F6", CultureInfo.InvariantCulture),
item.Error.ToString("F6", CultureInfo.InvariantCulture));
}
//_dgvPredictionResults.Rows.Add(predicResults.Date.ToShortDateString(), predicResults.ActualClose,
// predicResults.PredictedClose.ToString("F6", CultureInfo.InvariantCulture),
// predicResults.Error.ToString("F6", CultureInfo.InvariantCulture));
//ve do thi
//DrawGraph(DoThi_GiaiTri, results);
_predictor.ShowError();
}
/// <summary>
/// Start training button pressed
/// </summary>
private void BtnStartTrainingClick(object sender, EventArgs e)
{
if (_dgvTrainingResults.Rows.Count != 0)
{
_dgvTrainingResults.Rows.Clear();
}
if (_predictor == null)
{
_reloadFiles = false;
}
DateTime trainFrom = _dtpTrainFrom.Value;
DateTime trainTo = _dtpTrainUntil.Value;
if (trainFrom > trainTo)
{
MessageBox.Show("thong bao", "Tham so khong dung", MessageBoxButtons.OK, MessageBoxIcon.Information);
_dtpTrainFrom.Focus();
return;
}
FadeControls(true);
if (_predictor == null)
{
Cursor = Cursors.WaitCursor;
_hiddenLayers = (int)_nudHiddenLayers.Value;
_hiddenUnits = (int)_nudHiddenUnits.Value;
try
{
_predictor = new PredictIndicators(listPredicInput, _hiddenUnits, _hiddenLayers);
}
catch (Exception ex)
{
MessageBox.Show(ex.Message, "Exception", MessageBoxButtons.OK, MessageBoxIcon.Error);
_predictor = null;
return;
}
finally
{
Cursor = Cursors.Default;
}
}
else if (_reloadFiles) /*Reload training sets*/
{
_dtpTrainFrom.MinDate = _predictor.MinIndexDate;
_dtpTrainUntil.MaxDate = _predictor.MaxIndexDate;
}
/*Verify if dates do conform with the min/max ranges*/
if (trainFrom < _predictor.MinIndexDate)
{
_dtpTrainFrom.MinDate = _dtpTrainFrom.Value = trainFrom = _predictor.MinIndexDate;
}
if (trainTo > _predictor.MaxIndexDate)
{
_dtpTrainUntil.MaxDate = _dtpTrainUntil.Value = trainTo = _predictor.MaxIndexDate;
}
_predictor.timeTrainningSet += PredictorOnTimeTrainningSet;
TrainingStatus callback = TrainingCallback;
_predictor.TrainNetworkAsync(trainFrom, trainTo, callback);
}
