public void DrawChart(TrainingResult trainResult)
{
if (_xyLineChart == null)
return;
//TrainingRate
ChartPrimitive line0 = _xyLineChart.Primitives[0];
line0.AddPoint(trainResult.Epoch,trainResult.TrainingRate*1000);
ChartPrimitive line1 = _xyLineChart.Primitives[1];
line1.AddPoint(trainResult.Epoch, trainResult.AvgTrainMSE);
ChartPrimitive line2 = _xyLineChart.Primitives[2];
line2.AddPoint(trainResult.Epoch, trainResult.AvgTestMSE);
_xyLineChart.RedrawPlotLines();
}
private void TrainingProgress()
{
StringBuilder learningProgressText = new StringBuilder();
ShowElapsedTime(start);
learningPageViewModel.ProgressImage = null;
int index = curIndex;
taskbarManager.SetProgressState(TaskbarProgressBarState.Normal);
switch (learningPageViewModel.CurrentState)
{
case TrainingStates.PreparingData:
if (TaskbarManager.IsPlatformSupported)
taskbarManager.SetProgressValue(curIndex, pageViewModel.DataProvider.TrainingPatternsCount);
MainView.ProgressBar.Maximum = pageViewModel.DataProvider.TrainingPatternsCount;
MainView.ProgressBar.Value = index;
learningProgressText.Length = 0;
learningProgressText.Append("Preparing Training Data...");
learningPageViewModel.ProgressText = learningProgressText.ToString();
learningPageViewModel.ProgressImageNumber = String.Empty;
break;
case TrainingStates.CalculatingHessian:
if (TaskbarManager.IsPlatformSupported)
taskbarManager.SetProgressValue(index, 500);
MainView.ProgressBar.Maximum = 500;
MainView.ProgressBar.Value = index;
learningProgressText.Length = 0;
learningProgressText.Append("Calculating Pseudo-Hessian...");
learningPageViewModel.ProgressText = learningProgressText.ToString();
learningPageViewModel.ProgressImageNumber = String.Empty;
break;
case TrainingStates.Training:
if (TaskbarManager.IsPlatformSupported)
taskbarManager.SetProgressValue(curIndex, pageViewModel.DataProvider.TrainingPatternsCount);
MainView.ProgressBar.Maximum = pageViewModel.DataProvider.TrainingPatternsCount;
MainView.ProgressBar.Value = index;
learningProgressText.Length = 0;
learningProgressText.AppendFormat(((pageViewModel.NeuralNetwork.TrainingRates[learningRateIndex].Distorted) ? ("Distorted") : ("Not distorted")) + "\nEpoch:\t\t{0}\nPattern index:\t{1}\nTraining rate:\t{2:N10}\nAverage MSE:\t{3:N10}\nError percentage:\t{4:N10}\nMisrecognitions:\t{5}", curEpoch, index, pageViewModel.NeuralNetwork.TrainingRate.Rate, avgMSE, ((double)misrecognitions / ((double)index / 100D)), misrecognitions);
learningPageViewModel.ProgressText = learningProgressText.ToString();
learningPageViewModel.ProgressImage = ShowInputPattern(pageViewModel.DataProvider.RandomTrainingPattern[index], true, pageViewModel.NeuralNetwork.TrainingRates[learningRateIndex].Distorted);
learningPageViewModel.ProgressImage.Freeze();
learningPageViewModel.ProgressImageNumber = pageViewModel.DataProvider.PreparedTrainingPatterns[pageViewModel.DataProvider.RandomTrainingPattern[index]].Label.ToString();
break;
case TrainingStates.CalculatingTestError:
if (TaskbarManager.IsPlatformSupported)
taskbarManager.SetProgressValue(curIndex, pageViewModel.DataProvider.TestingPatternsCount);
MainView.ProgressBar.Maximum = pageViewModel.DataProvider.TestingPatternsCount;
MainView.ProgressBar.Value = index;
learningProgressText.Length = 0;
learningProgressText.Append("Calculating Test Error...");
learningProgressText.AppendFormat("\n\nPattern index:\t{0}\nAverage MSE:\t{1:N10}\nError percentage:\t{2:N10}\nMisrecognitions:\t{3}", index, avgTestMSE, ((double)misrecognitionsTest / ((double)index / 100D)), misrecognitionsTest);
learningPageViewModel.ProgressText = learningProgressText.ToString();
learningPageViewModel.ProgressImageNumber = String.Empty;
break;
case TrainingStates.SavingWaits:
if (TaskbarManager.IsPlatformSupported)
taskbarManager.SetProgressState(TaskbarProgressBarState.NoProgress);
MainView.ProgressBar.Value = 0;
learningProgressText.Length = 0;
learningProgressText.Append("Saving weights...");
learningPageViewModel.ProgressText = learningProgressText.ToString();
learningPageViewModel.ProgressImageNumber = String.Empty;
break;
case TrainingStates.NewEpoch:
learningPageViewModel.ProgressImageNumber = String.Empty;
TimeSpan span = DateTime.Now.Subtract(startSpan);
//Swordfish.WPF.Charts.ChartUtilities.AddTestLines(learningPageViewModel.Chart);
TrainingResult trainingResult = new TrainingResult(curEpoch, pageViewModel.NeuralNetwork.TrainingRate.Rate, pageViewModel.NeuralNetwork.TrainingRate.Distorted, avgMSE, misrecognitions, ((double)misrecognitions / ((double)600)), avgTestMSE, misrecognitionsTest, ((double)misrecognitionsTest / ((double)100)), new TimeSpan(span.Hours, span.Minutes, span.Seconds));
learningPageViewModel.DrawChart(trainingResult);//绘出误差曲线等
learningPageViewModel.TrainingResultCollection.Add(trainingResult);
learningPageViewModel.CurrentState = TrainingStates.Idle;
startSpan = DateTime.Now;
break;
}
if (trainingStopped)
{
learningPageViewModel.ProgressImageNumber = String.Empty;
if (TaskbarManager.IsPlatformSupported)
taskbarManager.SetProgressState(TaskbarProgressBarState.NoProgress);
trainingStopped = false;
StopTraining();
}
}
