public Series getSeriesOfLastPredictions(int dataLength)
{
//Create the prediction data series
Series predictionSeries = new Series(lastPredictions, dataLength - lastPredictions.Length);
predictionSeries.style.showLines = false;
predictionSeries.style.showPoints = true;
predictionSeries.style.pointColor = Color.LightBlue;
return predictionSeries;
}
public void addSeries(Series series)
{
seriesList.Add(series);
//
//Make sure scales are correct
//
//Adjust horizontal size if needed
if (series.Length() > maxLength)
{
maxLength = series.Length();
}
//Get vertical scale
if (series.maxHeight() > maxHeight)
{
maxHeight = series.maxHeight();
}
//Rescale
rescale();
}
private void ind_btn_mouseClick(object sender, EventArgs e)
{
SuspendLayout();
plot.removeAllSeries();
ButtonInd btn = (ButtonInd)sender;
Individual ind = btn.ind;
double[] data = btn.data;
//Clear Display and print individuals equation, fitness, and prediction values
Display.cout.Clear();
ind.printInfix();
Display.cout.writeLine();
Display.cout.writeLine("Fitness: " + ind.getLastFitness().ToString());
Display.cout.write("Predictions: ");
foreach(double p in ind.getLastPredictions()) { Display.cout.write(p.ToString() + ", "); }
Display.cout.writeLine();
//Graph the individual and its predictions
Series dataSeries = new Series(data);
plot.addSeries(dataSeries);
plot.addSeries(ind.getSeriesOfLastPredictions(data.Length));
refreshGraph();
ResumeLayout();
PerformLayout();
}