public void VisualizeOutcomeCodeSampling_Test()
{
double[] values = new double[300];
bool[][] outcomeCodes = new bool[300][];
Random z = new Random();
for (int i = 0; i < values.Length; i++)
{
double d = z.NextDouble();
if (d > 0.7)
{
outcomeCodes[i] = new bool[] { z.NextDouble() > 0.2, z.NextDouble() > 0.1 }
}
;
else
{
outcomeCodes[i] = new bool[] { z.NextDouble() > 0.6, z.NextDouble() > 0.7 }
};
values[i] = d;
}
outcomeCodes[50] = null;
double validRatio;
double[][] samples = IndicatorSampler.sampleValuesOutcomeCode(values, outcomeCodes, 0, 1, 10, out validRatio);
samples[3] = null;
Image img = OutcomeSamplingVisualizer.visualizeOutcomeCodeSamplingTable(samples, 500, 300, 0.3d);
//ArrayVisualizer.showImg(img); //Todo: Test somehow
}
public Image visualizeTables(int width, int height, bool showState = false)
{
double currentIndicatorValue = indicator.getIndicator();
Image outcomeImg = OutcomeSamplingVisualizer.visualizeOutcomeSamplingTable(outcomeSamplingTable, width, height / 2, showState ? currentIndicatorValue : double.NaN);
Image outcomeCodeImg = OutcomeSamplingVisualizer.visualizeOutcomeCodeSamplingTable(outcomeCodeSamplingTable, width, height / 2, showState ? currentIndicatorValue : double.NaN);
Image o = new Bitmap(width, height);
Graphics g = Graphics.FromImage(o);
g.Clear(Color.White);
g.DrawImage(outcomeImg, 0, 0);
g.DrawImage(outcomeCodeImg, 0, outcomeImg.Height);
g.DrawLine(new Pen(Color.Blue, 3), 0, outcomeImg.Height, outcomeImg.Width, outcomeImg.Height);
return(o);
}
public void OutcomeSamplingTableVisualizer_Test()
{
double[] values = new double[100];
double[][] outcomes = new double[100][];
double[][] prices = new double[100][];
DateTime dt = DateTime.Now.ToUniversalTime();
Random z = new Random();
for (int i = 0; i < values.Length; i++)
{
//Min max actual
double d = z.NextDouble();
if (d > 0.7)
{
outcomes[i] = new double[] { 1 - z.NextDouble() * 1, 1 + z.NextDouble() * 1, z.NextDouble() * 2 }
}
;
else
{
outcomes[i] = new double[] { 1 - z.NextDouble() * 0.5, 1 + z.NextDouble() * 0.5, z.NextDouble() * 1 + 0.5 }
};
values[i] = d;
dt = dt.AddMilliseconds(1000);
prices[i] = new double[] { Timestamp.dateTimeToMilliseconds(dt), 1, 1, 0 };
}
double validOut;
double[][] samples = IndicatorSampler.sampleValuesOutcome(values, prices, outcomes, 0, 1, out validOut, 10);
samples[3] = null;
Image image = OutcomeSamplingVisualizer.visualizeOutcomeSamplingTable(samples, 500, 300, 0.3);
//ArrayVisualizer.showImg(image); //Todo: Test somehow
}
}
