private static void PlotError(string errorName, Dictionary <int, double> epochsErrors)
{
double[] epochs = epochsErrors.Keys.Select(e => (double)e).ToArray();
double[] errors = epochsErrors.Values.ToArray();
ScatterplotView spv = new ScatterplotView
{
Dock = DockStyle.Fill,
LinesVisible = true
};
spv.Graph.GraphPane.XAxis.Title.Text = "Epoch";
spv.Graph.GraphPane.YAxis.Title.Text = "Error";
spv.Graph.GraphPane.Title.Text = "Error changing through epochs";
spv.Graph.GraphPane.AddCurve(errorName, epochs, errors, Color.Green, SymbolType.None);
spv.Graph.GraphPane.AxisChange();
Form f1 = new Form
{
Width = 600,
Height = 400
};
f1.Controls.Add(spv);
f1.ShowDialog();
}
public void ComputeTest1()
{
ScatterplotView target = new ScatterplotView();
double[] data = new double[] { 200.0, 200.0, 200.0 };
target.DataSource = data;
target.DataSource = null;
target.DataSource = data;
// ScatterplotBox.Show(data);
}
private static void DrawROCCurve(int[] actual, int[] preds, int numClass, string modelName)
{
ScatterplotView spv = new ScatterplotView();
spv.Dock = DockStyle.Fill;
spv.LinesVisible = true;
Color[] colors = new Color[] {
Color.Blue, Color.Red, Color.Orange, Color.Yellow, Color.Green,
Color.Gray, Color.LightSalmon, Color.LightSkyBlue, Color.Black, Color.Pink
};
for (int i = 0; i < numClass; i++)
{
// Build ROC for Train Set
bool[] expected = actual.Select(x => x == i ? true : false).ToArray();
int[] predicted = preds.Select(x => x == i ? 1 : 0).ToArray();
var trainRoc = new ReceiverOperatingCharacteristic(expected, predicted);
trainRoc.Compute(1000);
// Get Train AUC
double auc = trainRoc.Area;
double[] xVals = trainRoc.Points.Select(x => 1 - x.Specificity).ToArray();
double[] yVals = trainRoc.Points.Select(x => x.Sensitivity).ToArray();
// Draw ROC Curve
spv.Graph.GraphPane.AddCurve(
String.Format(
"Digit: {0} - AUC: {1:0.00}",
i, auc
),
xVals, yVals, colors[i], SymbolType.None
);
spv.Graph.GraphPane.AxisChange();
}
spv.Graph.GraphPane.Title.Text = String.Format(
"{0} ROC - One vs. Rest",
modelName
);
Form f1 = new Form();
f1.Width = 700;
f1.Height = 500;
f1.Controls.Add(spv);
f1.ShowDialog();
}
public void ComputeTest2()
{
ScatterplotView target = new ScatterplotView();
Scatterplot histogram = new Scatterplot();
histogram.Compute(new double[] { 200.0, 200.0, 200.0 });
target.DataSource = null;
target.DataSource = histogram;
target.DataSource = null;
// ScatterplotBox.Show(histogram);
}
static void DrawVertex(Vertex vertex, ScatterplotView view, int i)
{
view.Graph.GraphPane.AddCurve("left_" + i,
new double[] { (double)vertex.LeftEdge.From.X, (double)vertex.LeftEdge.To.X },
new double[] { (double)vertex.LeftEdge.From.Y, (double)vertex.LeftEdge.To.Y },
Color.Blue,
symbols[i]);
view.Graph.GraphPane.AddCurve("rigth_" + i,
new double[] { (double)vertex.RightEdge.From.X, (double)vertex.RightEdge.To.X },
new double[] { (double)vertex.RightEdge.From.Y, (double)vertex.RightEdge.To.Y },
Color.Green,
symbols[i]);
view.Graph.GraphPane.AddCurve("bisector_" + i,
new double[] { (double)vertex.AngleBisectorRay.From.X, (double)vertex.AngleBisectorRay.To.X },
new double[] { (double)vertex.AngleBisectorRay.From.Y, (double)vertex.AngleBisectorRay.To.Y },
Color.Red,
symbols[i]);
}
static void Main()
{
Random r = new Random();
var path = @"D:/Machel/Documents/Test.xlsx";
Excel.Application excelApp = new Excel.Application();
//This is set to false, so it will not open the excel file too.
excelApp.Visible = false;
excelApp.DisplayAlerts = false; //Don't want Excel to display error messageboxes
Excel.Workbook workbook = excelApp.Workbooks.Open(path, Type.Missing, Type.Missing, Type.Missing, Type.Missing, Type.Missing, Type.Missing, Type.Missing, Type.Missing, Type.Missing, Type.Missing, Type.Missing, Type.Missing, Type.Missing, Type.Missing); //This opens the file
Excel.Worksheet sheet = workbook.Worksheets[1]; //Get the first sheet in the file
Excel.Range bColumn = sheet.get_Range("B1", "B10");
Excel.Range aColumn = sheet.get_Range("A1", "A10");
//Instead of creating list of elements, it's also possible to pass directly with index to x, y
List <double> dataX = new List <double>();
List <double> dataY = new List <double>();
foreach (object o in bColumn)
{
Excel.Range row = o as Excel.Range;
double s = row.get_Value(null);
dataX.Add(s);
}
foreach (object o in aColumn)
{
Excel.Range row = o as Excel.Range;
double s = row.get_Value(null);
dataY.Add(s);
}
int a = aColumn.Count;
int max = dataX.Count;
//Define Arrays
double[] x = new double[max];
double[] x2 = new double[max];
double[] y1 = new double[max];
double[] y2 = new double[max];
double[] y3 = new double[max];
//Add elements to the arrays
for (int i = 0; i < max; i++)
{
x[i] = dataX[i];
y1[i] = dataY[i];
y2[i] = r.NextDouble() * 5;
}
//Test quadratic functions
for (int i = 0; i < 10; i++)
{
x2[i] = -4 + i;
y3[i] = Math.Pow(x2[i], 2) - 2 * x2[i] + 1;
}
ScatterplotView spv = new ScatterplotView();
spv.Dock = DockStyle.Fill;
//spv.LinesVisible = false;
spv.Graph.GraphPane.Title.Text = "Ploting with C#";
spv.Graph.GraphPane.XAxis.Title.Text = "Abstand";
spv.Graph.GraphPane.YAxis.Title.Text = "Leit";
spv.Graph.GraphPane.XAxis.Cross = 0;
spv.Graph.GraphPane.YAxis.Cross = 0;
//spv.Graph.GraphPane.AddCurve("ax^2+bx+c", x2, y3, Color.Green,SymbolType.Default);
spv.Graph.GraphPane.AddCurve("Curve 1", x, y1, Color.Red, SymbolType.Circle);
spv.Graph.GraphPane.AddCurve("Curve 2", x, y2, Color.Blue, SymbolType.Diamond);
spv.Graph.GraphPane.AxisChange();
Form f1 = new Form();
f1.Text = "Graph with C#";
f1.Width = 600;
f1.Height = 400;
f1.Controls.Add(spv);
f1.ShowDialog();
}
//Not disguising the testing dataset, so don't need to worry about that calculation.
static void Main(string[] args)
{
double theta = 0;
DataTable incomeDataset = LoadIncomeDataset();
DataTable incomeTrainingDataset = SplitIncomeDataset(incomeDataset, 0);
DataTable incomeTestingDataset = SplitIncomeDataset(incomeDataset, 1);
double benchmarkIncomeAccuracy = IncomeDecision(incomeTrainingDataset, incomeTestingDataset);
double[] accuracyFor0 = testRandomization(incomeTrainingDataset, incomeTestingDataset, theta);
theta = 0.1;
double[] accuracyFor01 = testRandomization(incomeTrainingDataset, incomeTestingDataset, theta);
theta = 0.2;
double[] accuracyFor02 = testRandomization(incomeTrainingDataset, incomeTestingDataset, theta);
theta = 0.3;
double[] accuracyFor03 = testRandomization(incomeTrainingDataset, incomeTestingDataset, theta);
theta = 0.4;
double[] accuracyFor04 = testRandomization(incomeTrainingDataset, incomeTestingDataset, theta);
theta = 0.45;
double[] accuracyFor045 = testRandomization(incomeTrainingDataset, incomeTestingDataset, theta);
theta = 0.51;
double[] accuracyFor051 = testRandomization(incomeTrainingDataset, incomeTestingDataset, theta);
theta = 0.55;
double[] accuracyFor055 = testRandomization(incomeTrainingDataset, incomeTestingDataset, theta);
theta = 0.6;
double[] accuracyFor06 = testRandomization(incomeTrainingDataset, incomeTestingDataset, theta);
theta = 0.7;
double[] accuracyFor07 = testRandomization(incomeTrainingDataset, incomeTestingDataset, theta);
theta = 0.8;
double[] accuracyFor08 = testRandomization(incomeTrainingDataset, incomeTestingDataset, theta);
theta = 0.9;
double[] accuracyFor09 = testRandomization(incomeTrainingDataset, incomeTestingDataset, theta);
theta = 1.0;
double[] accuracyFor10 = testRandomization(incomeTrainingDataset, incomeTestingDataset, theta);
//Get accuracy means for each theta
double meanFor0 = Accord.Statistics.Measures.Mean(accuracyFor0);
double meanFor01 = Accord.Statistics.Measures.Mean(accuracyFor01);
double meanFor02 = Accord.Statistics.Measures.Mean(accuracyFor02);
double meanFor03 = Accord.Statistics.Measures.Mean(accuracyFor03);
double meanFor04 = Accord.Statistics.Measures.Mean(accuracyFor04);
double meanFor045 = Accord.Statistics.Measures.Mean(accuracyFor045);
double meanFor051 = Accord.Statistics.Measures.Mean(accuracyFor051);
double meanFor055 = Accord.Statistics.Measures.Mean(accuracyFor055);
double meanFor06 = Accord.Statistics.Measures.Mean(accuracyFor06);
double meanFor07 = Accord.Statistics.Measures.Mean(accuracyFor07);
double meanFor08 = Accord.Statistics.Measures.Mean(accuracyFor08);
double meanFor09 = Accord.Statistics.Measures.Mean(accuracyFor09);
double meanFor10 = Accord.Statistics.Measures.Mean(accuracyFor10);
Dictionary <double, double> means = new Dictionary <double, double>();
means.Add(0, meanFor0);
means.Add(0.1, meanFor01);
means.Add(0.2, meanFor02);
means.Add(0.3, meanFor03);
means.Add(0.4, meanFor04);
means.Add(0.45, meanFor045);
means.Add(0.51, meanFor051);
means.Add(0.55, meanFor055);
means.Add(0.6, meanFor06);
means.Add(0.7, meanFor07);
means.Add(0.8, meanFor08);
means.Add(0.9, meanFor09);
means.Add(1, meanFor10);
//Get accuracy variances for each theta
double varianceFor0 = Accord.Statistics.Measures.Variance(accuracyFor0);
double varianceFor01 = Accord.Statistics.Measures.Variance(accuracyFor01);
double varianceFor02 = Accord.Statistics.Measures.Variance(accuracyFor02);
double varianceFor03 = Accord.Statistics.Measures.Variance(accuracyFor03);
double varianceFor04 = Accord.Statistics.Measures.Variance(accuracyFor04);
double varianceFor045 = Accord.Statistics.Measures.Variance(accuracyFor045);
double varianceFor051 = Accord.Statistics.Measures.Variance(accuracyFor051);
double varianceFor055 = Accord.Statistics.Measures.Variance(accuracyFor055);
double varianceFor06 = Accord.Statistics.Measures.Variance(accuracyFor06);
double varianceFor07 = Accord.Statistics.Measures.Variance(accuracyFor07);
double varianceFor08 = Accord.Statistics.Measures.Variance(accuracyFor08);
double varianceFor09 = Accord.Statistics.Measures.Variance(accuracyFor09);
double varianceFor10 = Accord.Statistics.Measures.Variance(accuracyFor10);
Dictionary <double, double> variances = new Dictionary <double, double>();
variances.Add(0, varianceFor0);
variances.Add(0.1, varianceFor01);
variances.Add(0.2, varianceFor02);
variances.Add(0.3, varianceFor03);
variances.Add(0.4, varianceFor04);
variances.Add(0.45, varianceFor045);
variances.Add(0.51, varianceFor051);
variances.Add(0.55, varianceFor055);
variances.Add(0.6, varianceFor06);
variances.Add(0.7, varianceFor07);
variances.Add(0.8, varianceFor08);
variances.Add(0.9, varianceFor09);
variances.Add(1, varianceFor10);
double[] thetas = means.Keys.ToArray <double>();
double[] meanValues = means.Values.ToArray <double>();
double[] varianceValues = variances.Values.ToArray <double>();
int max = thetas.Length;
double[] benchmarkAccuracies = new double[max];
double[] benchmarkVariances = new double[max];
//Create graph for means
for (int i = 0; i < max; i++)
{
benchmarkAccuracies[i] = benchmarkIncomeAccuracy;
}
ScatterplotView meanPlot = new ScatterplotView();
meanPlot.Dock = DockStyle.Fill;
meanPlot.LinesVisible = true;
meanPlot.Graph.GraphPane.AddCurve("Curve 1", thetas, meanValues, Color.Red, SymbolType.Circle);
meanPlot.Graph.GraphPane.AddCurve("Curve 2", thetas, benchmarkAccuracies, Color.Blue, SymbolType.Diamond);
meanPlot.Graph.GraphPane.AxisChange();
Form meanForm = new Form();
meanForm.Width = 600;
meanForm.Height = 400;
meanForm.Controls.Add(meanPlot);
meanForm.ShowDialog();
//Create graph for variances
for (int i = 0; i < max; i++)
{
benchmarkVariances[i] = 0;
}
ScatterplotView variancePlot = new ScatterplotView();
variancePlot.Dock = DockStyle.Fill;
variancePlot.LinesVisible = true;
variancePlot.Graph.GraphPane.AddCurve("Curve 1", thetas, varianceValues, Color.Red, SymbolType.Circle);
variancePlot.Graph.GraphPane.AddCurve("Curve 2", thetas, benchmarkVariances, Color.Blue, SymbolType.Diamond);
variancePlot.Graph.GraphPane.AxisChange();
Form varianceForm = new Form();
varianceForm.Width = 600;
varianceForm.Height = 400;
varianceForm.Controls.Add(variancePlot);
varianceForm.ShowDialog();
}
public static void Run(string path)
{
ScatterplotView view = new ScatterplotView();
view.Dock = System.Windows.Forms.DockStyle.Fill;
view.LinesVisible = true;
var outerLimit = new PdfPoint[]
{
new PdfPoint(30, 100),
new PdfPoint(50, 200),
new PdfPoint(220, 240),
new PdfPoint(440, 240),
new PdfPoint(430, 40),
new PdfPoint(230, 30),
new PdfPoint(85, 40)
};
List <Vertex> vertices = new List <Vertex>();
List <PdfPoint> intersects = new List <PdfPoint>();
for (int i = 0; i < outerLimit.Count() - 2; i++)
{
var vertex = new Vertex(new Line(outerLimit[i], outerLimit[i + 1]), new Line(outerLimit[i + 1], outerLimit[i + 2]));
DrawVertex(vertex, view, i);
vertices.Add(vertex);
if (vertices.Count > 1)
{
var intersection = vertex.AngleBisectorsInterscAt(vertices[i - 1]);
if (intersection != null)
{
intersects.Add((PdfPoint)intersection);
}
}
if (i == outerLimit.Count() - 3)
{
var vertexFinal = new Vertex(new Line(outerLimit[i + 1], outerLimit[i + 2]), new Line(outerLimit[i + 2], outerLimit.First()));
DrawVertex(vertexFinal, view, i + 1);
vertices.Add(vertexFinal);
var intersection = vertex.AngleBisectorsInterscAt(vertices[i - 1]);
if (intersection != null)
{
intersects.Add((PdfPoint)intersection);
}
vertexFinal = new Vertex(new Line(outerLimit[i + 2], outerLimit.First()), new Line(outerLimit.First(), outerLimit[1]));
DrawVertex(vertexFinal, view, i + 2);
vertices.Add(vertexFinal);
var intersection2 = vertex.AngleBisectorsInterscAt(vertices[i - 1]);
if (intersection2 != null)
{
intersects.Add((PdfPoint)intersection2);
}
var intersection3 = vertexFinal.AngleBisectorsInterscAt(vertices.First());
if (intersection3 != null)
{
intersects.Add((PdfPoint)intersection3);
}
}
}
List <Tuple <Vertex, PdfPoint, double> > queue = new List <Tuple <Vertex, PdfPoint, double> >();
for (int v = 1; v < vertices.Count - 1; v++) // one is missing
{
var previous = vertices[v - 1];
var current = vertices[v];
var next = vertices[v + 1];
var i1 = current.AngleBisectorsInterscAt(previous);
if (i1.HasValue)
{
var dist1 = Vertex.DistancePointToLine(current.LeftEdge, i1.Value);
queue.Add(new Tuple <Vertex, PdfPoint, double>(current, i1.Value, dist1));
}
var i2 = current.AngleBisectorsInterscAt(next);
if (i2.HasValue)
{
var dist2 = Vertex.DistancePointToLine(current.LeftEdge, i2.Value);
queue.Add(new Tuple <Vertex, PdfPoint, double>(current, i2.Value, dist2));
}
}
queue = queue.OrderBy(t => t.Item3).ToList();
foreach (var pop in queue)
{
}
foreach (var point in intersects)
{
view.Graph.GraphPane.AddCurve("intersect",
new double[] { (double)point.X },
new double[] { (double)point.Y },
Color.DarkBlue,
ZedGraph.SymbolType.TriangleDown);
}
var hole = new PdfPoint[]
{
new PdfPoint(175, 85),
new PdfPoint(245, 140),
new PdfPoint(315, 90),
new PdfPoint(385, 160),
new PdfPoint(330, 200),
new PdfPoint(165, 180)
};
for (int i = 0; i < hole.Count() - 2; i++)
{
var vertex = new Vertex(new Line(hole[i], hole[i + 1]), new Line(hole[i + 1], hole[i + 2]));
DrawVertex(vertex, view, i);
if (i == hole.Count() - 3)
{
var vertexFinal = new Vertex(new Line(hole[i + 1], hole[i + 2]), new Line(hole[i + 2], hole.First()));
DrawVertex(vertexFinal, view, i + 1);
var vertexFinal1 = new Vertex(new Line(hole[i + 2], hole.First()), new Line(hole.First(), hole[1]));
DrawVertex(vertexFinal1, view, i + 2);
var cross = vertexFinal.AngleBisectorsInterscAt(vertexFinal1);
}
}
view.Graph.GraphPane.AxisChange();
var f1 = new System.Windows.Forms.Form();
f1.Width = 600;
f1.Height = 400;
f1.Controls.Add(view);
f1.ShowDialog();
}
public static void Run(string path)
{
// check shape, see http://www.aforgenet.com/articles/shape_checker/
SimpleShapeChecker shapeChecker = new SimpleShapeChecker()
{
};
float zoom = 20;
var pinkPen = new Pen(Color.HotPink, zoom * 0.4f);
var greenPen = new Pen(Color.GreenYellow, zoom * 0.7f);
var aquaPen = new Pen(Color.Aqua, zoom * 0.7f);
var redPen = new Pen(Color.Red, zoom * 0.4f);
var bluePen = new Pen(Color.Blue, zoom * 0.4f);
var blackPen = new Pen(Color.Black, zoom * 0.7f);
using (var converter = new PdfImageConverter(path))
using (PdfDocument document = PdfDocument.Open(path))
{
for (var i = 0; i < document.NumberOfPages; i++)
{
var page = document.GetPage(i + 1);
var paths = page.ExperimentalAccess.Paths;
var geometries = paths.Select(p => new PdfGeometry(p)).ToList();
var verticals = geometries.Where(g => g.IsVerticalLine()).ToList();
var horizontals = geometries.Where(g => g.IsHorizontalLine()).ToList();
using (var bitmap = converter.GetPage(i + 1, zoom))
using (var graphics = Graphics.FromImage(bitmap))
{
var imageHeight = bitmap.Height;
foreach (var letter in page.Letters)
{
var rect = new Rectangle(
(int)(letter.GlyphRectangle.Left * (decimal)zoom),
imageHeight - (int)(letter.GlyphRectangle.Top * (decimal)zoom),
(int)(letter.GlyphRectangle.Width * (decimal)zoom),
(int)(letter.GlyphRectangle.Height * (decimal)zoom));
graphics.DrawRectangle(pinkPen, rect);
}
foreach (var p in paths)
{
if (p == null)
{
continue;
}
PdfGeometry geometry = new PdfGeometry(p);
var isClosed = geometry.IsClosed;
var isClockwise = geometry.IsClockwise;
var commands = p.Commands;
var points = ToOrderedPoints(commands);
if (isClosed) //.SubGeometries.Count > 1)
{
//Scatterplot scatterplot = new Scatterplot();
//scatterplot.Compute(
// points.Select(po => (double)po.X).Take(31).ToArray(),
// points.Select(po => (double)po.Y).Take(31).ToArray(),
// Enumerable.Range(0, points.Count).Take(31).ToArray());
//ScatterplotBox.Show(scatterplot);
ScatterplotView view = new ScatterplotView();
view.Dock = System.Windows.Forms.DockStyle.Fill;
view.LinesVisible = true;
view.Graph.GraphPane.Title.Text = isClockwise ? "CW" : "CCW";
foreach (var command in commands)
{
if (command is PdfPath.Line line)
{
view.Graph.GraphPane.GraphObjList.Add(new ZedGraph.ArrowObj(
Color.Blue, 10.0f, (double)line.From.X, (double)line.From.Y,
(double)line.To.X, (double)line.To.Y));
view.Graph.GraphPane.AddCurve("",
new[] { (double)line.From.X, (double)line.To.X },
new[] { (double)line.From.Y, (double)line.To.Y },
Color.Red);
}
else if (command is BezierCurve curve)
{
foreach (var lineB in BezierCurveToPaths(curve))
{
view.Graph.GraphPane.GraphObjList.Add(new ZedGraph.ArrowObj(
Color.Blue, 10.0f, (double)lineB.From.X, (double)lineB.From.Y,
(double)lineB.To.X, (double)lineB.To.Y));
view.Graph.GraphPane.AddCurve("",
new[] { (double)lineB.From.X, (double)lineB.To.X },
new[] { (double)lineB.From.Y, (double)lineB.To.Y },
Color.Red);
}
}
}
//view.Graph.GraphPane.AddCurve("curve",
// points.Select(po => (double)po.X).ToArray(),
// points.Select(po => (double)po.Y).ToArray(),
// Color.Blue,
// ZedGraph.SymbolType.Circle);
view.Graph.GraphPane.AxisChange();
var f1 = new System.Windows.Forms.Form();
f1.Width = 1000;
f1.Height = 1000;
f1.Controls.Add(view);
f1.ShowDialog();
}
var shape = shapeChecker.CheckShapeType(points);
var subType = shapeChecker.CheckPolygonSubType(points);
var bboxF = GetBoundingRectangle(commands);
if (bboxF.HasValue)
{
var rect = new Rectangle(
(int)(bboxF.Value.Left * (decimal)zoom),
imageHeight - (int)(bboxF.Value.Top * (decimal)zoom),
(int)(bboxF.Value.Width == 0 ? 1 : bboxF.Value.Width * (decimal)zoom),
(int)(bboxF.Value.Height == 0 ? 1 : bboxF.Value.Height * (decimal)zoom));
graphics.DrawRectangle(greenPen, rect);
}
/*foreach (var command in commands)
* {
* if (command is PdfPath.Line line)
* {
* var bbox = line.GetBoundingRectangle();
* if (bbox.HasValue)
* {
* var rect = new Rectangle(
* (int)(bbox.Value.Left * (decimal)zoom),
* imageHeight - (int)(bbox.Value.Top * (decimal)zoom),
* (int)(bbox.Value.Width == 0 ? 1 : bbox.Value.Width * (decimal)zoom),
* (int)(bbox.Value.Height == 0 ? 1 : bbox.Value.Height * (decimal)zoom));
* graphics.DrawRectangle(bluePen, rect);
* }
* }
* else if (command is BezierCurve curve)
* {
* var bbox = curve.GetBoundingRectangle();
* if (bbox.HasValue)
* {
* var rect = new Rectangle(
* (int)(bbox.Value.Left * (decimal)zoom),
* imageHeight - (int)(bbox.Value.Top * (decimal)zoom),
* (int)(bbox.Value.Width == 0 ? 1 : bbox.Value.Width * (decimal)zoom),
* (int)(bbox.Value.Height == 0 ? 1 : bbox.Value.Height * (decimal)zoom));
* graphics.DrawRectangle(redPen, rect);
* }
* }
* else if (command is Close close)
* {
* var bbox = close.GetBoundingRectangle();
* if (bbox.HasValue)
* {
* var rect = new Rectangle(
* (int)(bbox.Value.Left * (decimal)zoom),
* imageHeight - (int)(bbox.Value.Top * (decimal)zoom),
* (int)(bbox.Value.Width == 0 ? 1 : bbox.Value.Width * (decimal)zoom),
* (int)(bbox.Value.Height == 0 ? 1 : bbox.Value.Height * (decimal)zoom));
* graphics.DrawRectangle(greenPen, rect);
* }
* }
* else if (command is Move move)
* {
* var bbox = move.GetBoundingRectangle();
* if (bbox.HasValue)
* {
* var rect = new Rectangle(
* (int)(bbox.Value.Left * (decimal)zoom),
* imageHeight - (int)(bbox.Value.Top * (decimal)zoom),
* (int)(bbox.Value.Width == 0 ? 1 : bbox.Value.Width * (decimal)zoom),
* (int)(bbox.Value.Height == 0 ? 1 : bbox.Value.Height * (decimal)zoom));
* graphics.DrawRectangle(greenPen, rect);
* }
* }
* else
* {
* throw new NotImplementedException(command.GetType().ToString());
* }
* }*/
}
var rectsPaths = RecursiveXYCutPath.Instance.GetBlocks(paths, 0, 10, 10);
foreach (var rectPath in rectsPaths)
{
var rect = new Rectangle(
(int)(rectPath.Left * (decimal)zoom),
imageHeight - (int)(rectPath.Top * (decimal)zoom),
(int)(rectPath.Width * (decimal)zoom),
(int)(rectPath.Height * (decimal)zoom));
graphics.DrawRectangle(aquaPen, rect);
}
bitmap.Save(Path.ChangeExtension(path, (i + 1) + "_pathsTest.png"));
}
}
}
}
private static void DrawROCCurve(int[] trainActual, int[] trainPreds, int[] testActual, int[] testPreds, int predClass, int minNumOccurrences, string modelName)
{
// Create a new ROC curve to assess the performance of the model
string predClassStr = predClass == 0 ? "Neutral" : predClass == 1 ? "Positive" : "Negative";
Console.WriteLine(
"* Building ROC curve for {0} vs. Rest",
predClassStr
);
// Build ROC for Train Set
bool[] trainExpectedClass = trainActual.Select(x => x == predClass ? true : false).ToArray();
int[] trainPredictedClass = trainPreds.Select(x => x == predClass ? 1 : 0).ToArray();
var trainRoc = new ReceiverOperatingCharacteristic(trainExpectedClass, trainPredictedClass);
trainRoc.Compute(1000);
// Get Train AUC
double trainAUC = trainRoc.Area;
double[] trainXValues = trainRoc.Points.Select(x => 1 - x.Specificity).ToArray();
double[] trainYValues = trainRoc.Points.Select(x => x.Sensitivity).ToArray();
// Build ROC for Test Set
bool[] testExpectedClass = testActual.Select(x => x == predClass ? true : false).ToArray();
int[] testPredictedClass = testPreds.Select(x => x == predClass ? 1 : 0).ToArray();
var testRoc = new ReceiverOperatingCharacteristic(testExpectedClass, testPredictedClass);
testRoc.Compute(1000);
// Get Test AUC
double testAUC = testRoc.Area;
double[] testXValues = testRoc.Points.Select(x => 1 - x.Specificity).ToArray();
double[] testYValues = testRoc.Points.Select(x => x.Sensitivity).ToArray();
// Draw ROC Curve with both Train & Test ROC
ScatterplotView spv = new ScatterplotView();
spv.Dock = DockStyle.Fill;
spv.LinesVisible = true;
spv.Graph.GraphPane.AddCurve(
String.Format("Train (AUC: {0:0.00})", trainAUC),
trainXValues, trainYValues, Color.Green, SymbolType.None
);
spv.Graph.GraphPane.AddCurve(
String.Format("Test (AUC: {0:0.00})", testAUC),
testXValues, testYValues, Color.Blue, SymbolType.None
);
spv.Graph.GraphPane.AddCurve("Random", testXValues, testXValues, Color.Red, SymbolType.None);
spv.Graph.GraphPane.Title.Text = String.Format(
"{0} ROC - {1} vs. Rest (# occurrences >= {2})",
modelName, predClassStr, minNumOccurrences
);
spv.Graph.GraphPane.AxisChange();
Form f1 = new Form();
f1.Width = 700;
f1.Height = 500;
f1.Controls.Add(spv);
f1.ShowDialog();
}
