public override string ToString()
{
var builder = new StringBuilder();
builder.Append((IterationMode.ToString() + IterationStage).PadRight(IterationInfoNameMaxWidth, ' '));
builder.Append(' ');
// Usually, a benchmarks takes more than 10 iterations (rarely more than 99)
// PadLeft(2, ' ') looks like a good trade-off between alignment and amount of characters
builder.Append(IterationIndex.ToString(MainCultureInfo).PadLeft(2, ' '));
builder.Append(": ");
builder.Append(Operations.ToString(MainCultureInfo));
builder.Append(' ');
builder.Append(OpSymbol);
builder.Append(", ");
builder.Append(Nanoseconds.ToString("0.00", MainCultureInfo));
builder.Append(' ');
builder.Append(NsSymbol);
builder.Append(", ");
builder.Append(GetAverageTime().ToString(MainCultureInfo).ToAscii());
builder.Append("/op");
return(builder.ToString());
}
public string ToOutputLine()
{
// Usually, a benchmarks takes more than 10 iterations (rarely more than 99)
// PadLeft(2, ' ') looks like a good trade-off between alignment and amount of characters
string alignedIterationIndex = IterationIndex.ToString().PadLeft(2, ' ');
return($"{IterationMode} {alignedIterationIndex}: {GetDisplayValue()}");
}
private void DisplayClassifierPeformanceDuringTraining()
{
txtIteration.Text = IterationIndex.ToString();
txtMCCTraining.Text = _TraintimeEngine.PerformanceEvaluation.MCC.ToString();
txtSensitivityTraining.Text = _TraintimeEngine.PerformanceEvaluation.Sensitivity.ToString();
txtSpecificityTraining.Text = _TraintimeEngine.PerformanceEvaluation.Specificity.ToString();
txtRMSETraining.Text = _TraintimeEngine._RMSE.ToString();
txtAccuracyTraining.Text = _TraintimeEngine.PerformanceEvaluation.Accuracy.ToString();
}
private void trainToolStripMenuItem_Click(object sender, EventArgs e)
{
bool terminateLoop = false;
ShowConsoleMessage("Staring training in 'batch' mode [CurrentIterationIndex = " + IterationIndex.ToString());
tolerableError = float.Parse(txtAcceptableRMS.Text);
_TraintimeEngine.TrainingDataTable = _TrainingDataTable;
TotalIterations = TotalIterations + int.Parse(txtLearningIterations.Text);
//for (; IterationIndex <= TotalIterations; IterationIndex++)
while (!terminateLoop)
{
_TraintimeEngine.Run();
//ShowConsoleMessage("Error in Iteration No. " + IterationIndex.ToString() + " was: " + _TraintimeEngine._RMSE.ToString() + " and MCC was: " + _TraintimeEngine.PerformanceEvaluation.MCC.ToString() + );
DisplayClassifierPeformanceDuringTraining();
if (_TraintimeEngine._RMSE <= tolerableError)
{
terminateLoop = true;
}
if (IterationIndex == TotalIterations)
{
terminateLoop = true;
}
if (terminateLoop == false)
{
IterationIndex++;
}
progressbar.Value = (int)((((float)IterationIndex) / ((float)TotalIterations)) * 100);
Application.DoEvents();
}
ShowConsoleMessage("'Batch' mode training completed");
}