public ProbabilityDistributionCalculator()
{
_massBins = Enumerable.Range(0, 31).Select(x => 500 + x * 1000).ToArray();
_massBins[_massBins.Length - 1] = 30000;
_densityEstimators = new KernelDensityEstimator[_massBins.Length];
for (var i = 0; i < _densityEstimators.Length; i++)
{
_densityEstimators[i] = new KernelDensityEstimator();
}
}
public ProbabilityDistributionCalculator()
{
_massBins = Enumerable.Range(0, 31).Select(x => 500 + x * 1000).ToArray();
_massBins[_massBins.Length - 1] = 30000;
_densityEstimators = new KernelDensityEstimator[_massBins.Length];
for (var i = 0; i < _densityEstimators.Length; i++)
{
_densityEstimators[i] = new KernelDensityEstimator();
}
}
public void TestKernel()
{
var methodName = MethodBase.GetCurrentMethod().Name;
TestUtils.ShowStarting(methodName);
var x = new [] {.2, .3};
var y = new [] { .1, .4};
var z = new [] {.3, .4};
var kernelEstimator = new KernelDensityEstimator();
//kernelEstimator.AddObservation(x);
//kernelEstimator.AddObservation(y);
Console.WriteLine(kernelEstimator.HasObservation());
var estimation = kernelEstimator.GetDensityEstimation(z, .1, 0);
if (estimation == null) return;
foreach (var e in estimation)
{
Console.WriteLine(e);
}
}
