private void updateRange()
{
range = new DoubleRange(0, 1);
try
{
range = instance.Support;
range = instance.GetRange(0.99);
}
catch
{
}
if (range.Length == 0)
{
range = new DoubleRange(instance.Mean - 1, instance.Mean + 1);
}
double resolution = 100;
this.unit = new DoubleRange(0, 1);
this.probabilities = Vector.Range(0.0, 1.0, 1.0 / resolution);
if (instance is UnivariateDiscreteDistribution)
{
this.supportPoints = Vector.Range(range.Min, range.Max, 1.0);
}
else
{
double min = range.Min - Math.Abs(range.Length) * 0.1;
double max = range.Max + Math.Abs(range.Length) * 0.1;
this.range = new DoubleRange(min, max);
this.supportPoints = Vector.Range(range.Min, range.Max, range.Length / resolution);
// make sure the support points include the important metrics
concatenate(() => instance.Mean);
concatenate(() => instance.Median);
concatenate(() => instance.Mode);
Array.Sort(supportPoints);
}
}
