public void ExpandDistanceTest()
{
for (int i = 1; i <= 3; i++)
{
TaylorGaussian kernel = new TaylorGaussian(i);
kernel.Degree = 64000;
var x = new double[] { 0.5, 2.0 };
var y = new double[] { 1.3, -0.2 };
var phi_x = kernel.Transform(x);
var phi_y = kernel.Transform(y);
double d1 = Distance.SquareEuclidean(phi_x, phi_y);
double d2 = kernel.Distance(x, y);
double d3 = Accord.Statistics.Tools.Distance(kernel.Gaussian, x, y);
Assert.AreEqual(d1, d2, 1e-4);
Assert.AreEqual(d1, d3, 1e-4);
Assert.IsFalse(double.IsNaN(d1));
Assert.IsFalse(double.IsNaN(d2));
Assert.IsFalse(double.IsNaN(d3));
}
}
public void ExpandReverseDistanceTest()
{
for (int i = 1; i <= 3; i++)
{
TaylorGaussian kernel = new TaylorGaussian(i);
kernel.Degree = 64000;
var x = new double[] { 0.5, 2.0 };
var y = new double[] { 1.3, -0.2 };
var phi_x = kernel.Transform(x);
var phi_y = kernel.Transform(y);
double d = Distance.SquareEuclidean(x, y);
double phi_d = kernel.ReverseDistance(phi_x, phi_y);
Assert.AreEqual(phi_d, d, 1e-3);
Assert.IsFalse(double.IsNaN(phi_d));
Assert.IsFalse(double.IsNaN(d));
}
}