public string generateNNGraph(string matrixRef, int NumberInputsNodes, int NumberHiddenNodes, int NumberOutputNodes,
int NumberOfEpochs, double LearningRate_eta, string title, int oneCol, string oneLab, int twoCol, string twoLab, string fileName)
{
var matrixComp = Value(matrixRef);
if (matrixComp.GetType() == typeof(string))
{
return("Could not find variable " + matrixRef);
}
MatrixData _graphData = (MatrixData)matrixComp;
double[] x = _graphData.GetColumnCopy <double>(0);
double[] y = _graphData.GetColumnCopy <double>(1);
double[] y1 = _graphData.GetColumnCopy <double>(2);
double xMax = _graphData.Max(0);
var plot = new PLStream();
plot.width(1);
plot.sdev("svg");
plot.sfnam(fileName + ".svg");
plot.scolbg(255, 255, 255);
plot.init();
plot.env(0, xMax, 0, 105, AxesScale.Independent, AxisBox.BoxTicksLabelsAxes);
Dictionary <int, string> cols = new Dictionary <int, string>();
cols.Add(0, "black");
cols.Add(1, "red");
cols.Add(2, "yellow");
cols.Add(3, "green");
cols.Add(4, "aquamarine");
cols.Add(5, "pink");
cols.Add(6, "wheat");
cols.Add(7, "grey");
cols.Add(8, "brown");
cols.Add(9, "blue");
cols.Add(10, "BlueViolet");
cols.Add(11, "cyan");
cols.Add(12, "turquoise");
cols.Add(13, "magenta");
cols.Add(14, "salmon");
cols.Add(15, "white");
plot.col0(1);
plot.lab("Epoch", "Accuracy %", title);
plot.ptex(xMax - 10, 25, 1.0, 0, 1, "Input Nodes: " + NumberInputsNodes);
plot.ptex(xMax - 10, 20, 1.0, 0, 1, "Hidden Nodes: " + NumberHiddenNodes);
plot.ptex(xMax - 10, 15, 1.0, 0, 1, "Output Nodes: " + NumberOutputNodes);
plot.ptex(xMax - 10, 10, 1.0, 0, 1, "Epochs: " + NumberOfEpochs);
plot.ptex(xMax - 10, 5, 1.0, 0, 1, "Learning Rate: " + LearningRate_eta);
plot.col0(1);
plot.col0(oneCol);
plot.line(x, y);
plot.ptex(xMax - 10, 35, 1.0, 0, 1, cols[oneCol] + ": " + oneLab);
plot.col0(oneCol);
plot.col0(twoCol);
plot.line(x, y1);
plot.ptex(xMax - 10, 30, 1.0, 0, 1, cols[twoCol] + ": " + twoLab);
plot.col0(twoCol);
plot.eop();
return(Directory.GetCurrentDirectory() + "\\" + fileName + ".svg");
}
public string GenerateGraph()
{
double[] x = _graphData.GetColumnCopy <double>(0);
double[] y = _graphData.GetColumnCopy <double>(1);
double[] y1 = _graphData.GetColumnCopy <double>(2);
double xMax = _graphData.Max(0);
//double yMax = _graphData.Max(1);
//yMax = (_graphData.Max(2) > yMax)? _graphData.Max(2) : yMax;
//double yMin = _graphData.Min(1);
//yMin = (_graphData.Min(2) < yMin)? _graphData.Min(2): yMin;
var plot = new PLStream();
plot.width(1);
plot.sdev("svg");
plot.sfnam("Test.svg");
plot.scolbg(255, 255, 255);
plot.init();
plot.env(0, xMax, 0, 105, AxesScale.Independent, AxisBox.BoxTicksLabelsAxes);
//####### PLPlot colour guide:
//0 black (default background)
//1 red (default foreground)
//2 yellow
//3 green
//4 aquamarine
//5 pink
//6 wheat
//7 grey
//8 brown
//9 blue
//10 BlueViolet
//11 cyan
//12 turquoise
//13 magenta
//14 salmon
//15 white
plot.col0(1);
if (!(_testingData == null))
{
plot.lab("Epoch", "Accuracy %", "Test vs Train Accuracy");
}
else
{
plot.lab("Epoch", "Accuracy %", "Test vs Val Accuracy");
}
plot.ptex(xMax - 10, 25, 1.0, 0, 1, "Input Nodes: " + NumberInputsNodes);
plot.ptex(xMax - 10, 20, 1.0, 0, 1, "Hidden Nodes: " + NumberHiddenNodes);
plot.ptex(xMax - 10, 15, 1.0, 0, 1, "Output Nodes: " + NumberOutputNodes);
plot.ptex(xMax - 10, 10, 1.0, 0, 1, "Epochs: " + NumberOfEpochs);
plot.ptex(xMax - 10, 5, 1.0, 0, 1, "Learning Rate: " + LearningRate_eta);
plot.col0(1);
plot.col0(9);
plot.line(x, y);
plot.ptex(xMax - 10, 35, 1.0, 0, 1, "Blue: Train");
plot.col0(9);
plot.col0(3);
plot.line(x, y1);
if (!(_testingData == null))
{
plot.ptex(xMax - 10, 30, 1.0, 0, 1, "Green: Test");
}
else
{
plot.ptex(xMax - 10, 30, 1.0, 0, 1, "Green: Val");
}
plot.col0(3);
plot.eop();
return("Saved \"Test.svg\"");
}