public NetPlot(NetMain xNetMain) : base(ICON.GRAPH_CLAW, "Network", SizeDialog)
{
//CREATE DIALOG
NetMain = xNetMain;
//SET BUTTON
setButton("OK", "leave the dialog", new Action(() => { Close(); }));
//CREATE PANEL
Panel = UniPanel.Create(this);
Panel.Size = SizePanel;
Panel.Refresh();
//PLOT CLASSES
Network = new PlotNetwork(NetMain, Panel);
Neuroevolution = new PlotNeuroevolution(NetMain, Panel);
//TIMER
double fps = 0.1;
Timer timer = new Timer();
timer.Interval = (int)(1000 / fps);
timer.Tick += eventTick;
timer.Start();
//EVENT LISTENER
Panel.Paint += eventPaint;
ResizeBegin += (s, e) => { isMoving = true; }; //RESIZE & MOVING HANDLE
ResizeEnd += (s, e) => { isMoving = false; Refresh(); };
Visible = false;
}
private void createPlot()
{
Size size = new Size(740, 400);
//CREATE PLOT
PanelPlot = UniPanel.Create(Dialog, BorderStyle.None, false);
PanelPlot.Size = new Size(size.Width, size.Height + 30);
//CHART
UniChart chart = UniChart.Create(PanelPlot, 0, 0, size.Width, size.Height, BorderStyle.FixedSingle);
chart.setTitles(null, null, "Performance in %");
chart.setLabelFormat(null, "0%");
chart.setStartFromZeros(false);
//EVENT LISTENER
PanelPlot.VisibleChanged += (s, e) =>
{
//GET PERFORMANCE
double[] perArray = new double[PerformanceList.Count];
for (int i = 0; i < perArray.Length; i++)
{
perArray[i] = PerformanceList[i].Performance;
}
//PREPARE CHART
chart.SeriesRemove();
Series series = chart.SeriesLine("Performance of Network", SeriesChartType.Line, Colors.MainRecessive, 1, perArray, null);
series.MarkerStyle = MarkerStyle.Circle;
series.MarkerColor = Colors.MainDominant;
series.MarkerSize = 4;
series.MarkerBorderWidth = 1;
series.MarkerBorderColor = Colors.MainRecessive;
//DATA LABEL
for (int i = 0; i < PerformanceList.Count; i++)
{
series.Points[i].Label = "LR: " + (PerformanceList[i].LearningRate * 100) + "%\nE: " + PerformanceList[i].Epochs + "\n(" + PerformanceList[i].Duration.ToString(@"mm\:ss") + ")";
}
};
}
private void createSettings()
{
//CREATE SETTINGS
PanelSettings = UniPanel.Create(Dialog, BorderStyle.None, false);
PanelSettings.Size = new Size(400, 160);
//LEARNING RATE
decimal minimum = (decimal)NetMain.LearningRate.getMinimum() / 100;
decimal maximum = (decimal)NetMain.LearningRate.getMaximum() / 100;
decimal increment = (decimal)NetMain.LearningRate.TickFrequency / 1000;
SpinLRnow = UniSpin.Create(PanelSettings, "Start:", "set start value of learningrate", NetMain.startposition[0], NetMain.startposition[1], minimum, maximum, increment, (decimal)LRnow);
SpinLRmin = UniSpin.Create(PanelSettings, "LR (min):", "set minimal learnrate to check", Mod_Forms.nextLeft(SpinLRnow, NetMain.gap[0]), Mod_Forms.sameTop(SpinLRnow), minimum, maximum, increment, (decimal)LRmin);
SpinLRmax = UniSpin.Create(PanelSettings, "LR (max):", "set maximal learnrate to check", Mod_Forms.nextLeft(SpinLRmin, NetMain.gap[0]), Mod_Forms.sameTop(SpinLRnow), minimum, maximum, increment, (decimal)LRmax);
SpinLRdelta = UniSpin.Create(PanelSettings, "LR (delta):", "set delta increment per run", Mod_Forms.nextLeft(SpinLRmax, NetMain.gap[0]), Mod_Forms.sameTop(SpinLRnow), (decimal)0.001, (decimal)0.01, (decimal)0.001, (decimal)LRdelta);
//EPOCHS
SpinEnow = UniSpin.Create(PanelSettings, "Start:", "set start value of epoch", Mod_Forms.sameLeft(SpinLRnow), Mod_Forms.nextTop(SpinLRnow, NetMain.gap[1]), NetMain.SpinEpochs.Minimum, NetMain.SpinEpochs.Maximum, NetMain.SpinEpochs.Increment, Enow);
SpinEmin = UniSpin.Create(PanelSettings, "Epoch (min):", "set minimal epoch to check", Mod_Forms.nextLeft(SpinEnow, NetMain.gap[0]), Mod_Forms.sameTop(SpinEnow), NetMain.SpinEpochs.Minimum, NetMain.SpinEpochs.Maximum, NetMain.SpinEpochs.Increment, Emin);
SpinEmax = UniSpin.Create(PanelSettings, "Epoch (max):", "set maximal epoch to check", Mod_Forms.nextLeft(SpinEmin, NetMain.gap[0]), Mod_Forms.sameTop(SpinEnow), NetMain.SpinEpochs.Minimum, NetMain.SpinEpochs.Maximum, NetMain.SpinEpochs.Increment, Emax);
SpinEdelta = UniSpin.Create(PanelSettings, "Epoch (delta):", "set delta increment per run", Mod_Forms.nextLeft(SpinEmax, NetMain.gap[0]), Mod_Forms.sameTop(SpinEnow), 1, 10, 1, Edelta);
}
public PlotNeuroevolution(NetMain xNetMain, UniPanel xPanel)
{
//NEUROEVOLUTION PLOT
Main = xNetMain;
Panel = xPanel;
}
public PlotNetwork(NetMain xNetMain, UniPanel xPanel)
{
//NETWORK PLOT
Main = xNetMain;
Panel = xPanel;
}
