| public ComputeUnsortedInplace ( double x ) : void | ||
| x | double | Un-sorted array of values. |
| return | void | |
/// <summary>
/// Write fitness-trace to a TextWriter stream.
/// </summary>
public override void Write(TextWriter writer)
{
writer.WriteLine("# Iteration\tMin\tQ1\tMedian\tQ3\tMax");
writer.WriteLine();
for (int i = 0; i < Trace.Length; i++)
{
Quartiles quartiles = new Quartiles();
double[] traceArray = Trace[i].ToArray();
if (traceArray.Length > 0)
{
quartiles.ComputeUnsortedInplace(traceArray);
writer.WriteLine(
"{0} {1} {2} {3} {4} {5}",
Iteration(i),
Tools.FormatNumber(quartiles.Min),
Tools.FormatNumber(quartiles.Q1),
Tools.FormatNumber(quartiles.Median),
Tools.FormatNumber(quartiles.Q3),
Tools.FormatNumber(quartiles.Max));
}
else
{
break;
}
}
writer.Close();
}
/// <summary>
/// Compute the statistics. Call this after all
/// optimization runs have executed.
/// </summary>
public void Compute()
{
FitnessQuartiles = new Quartiles();
IterationsQuartiles = new Quartiles();
if (Results.Count > 0)
{
// Fitness quartiles.
double[] fitnessArray = Results.Select(o => o.Fitness).ToArray();
FitnessQuartiles.ComputeUnsortedInplace(fitnessArray);
// Iterations quartiles.
double[] iterationsArray = Results.Select(o => o.Iterations).ToArray();
IterationsQuartiles.ComputeUnsortedInplace(iterationsArray);
// Fitness mean and stddev.
FitnessMean = Results.Average(o => o.Fitness);
FitnessStdDev = Results.StdDev(o => o.Fitness);
// Iterations mean and stddev.
IterationsMean = Results.Average(o => o.Iterations);
IterationsStdDev = Results.StdDev(o => o.Iterations);
}
else
{
// Fitness mean and stddev.
FitnessMean = null;
FitnessStdDev = null;
// Iterations mean and stddev.
IterationsMean = null;
IterationsStdDev = null;
}
// Best results.
BestResults = Results.Where(o => o.Fitness == FitnessMin);
}
