public void MultinomialCreateFailsWithNegativeRatios()
{
var m = new Multinomial(badP);
}
public void CanSetProbability()
{
var b = new Multinomial(largeP);
b.P = smallP;
}
public void MultinomialCreateFailsWithAllZeroRatios()
{
var m = new Multinomial(badP2);
}
public void CanCreateMultinomial()
{
var m = new Multinomial(largeP);
AssertEx.AreEqual<double[]>(largeP, m.P);
}
public void CanSample()
{
var n = new Multinomial(largeP);
var d = n.Sample();
}
public void SetProbabilityFails()
{
var b = new Multinomial(largeP);
b.P = badP;
}
public void ValidateToString()
{
var b = new Multinomial(smallP);
AssertEx.AreEqual<string>("Multinomial(Dimension = 3)", b.ToString());
}
public void CanCreateMultinomial()
{
var m = new Multinomial(_largeP, 4);
CollectionAssert.AreEqual(_largeP, m.P);
}
public void CanCreateMultinomialFromHistogram()
{
double[] smallDataset = { 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5 };
var hist = new Histogram(smallDataset, 10, 0.0, 10.0);
var m = new Multinomial(hist, 7);
foreach (var t in m.P)
{
Assert.AreEqual(1.0, t);
}
}
public void CanSample()
{
var n = new Multinomial(_largeP, 4);
n.Sample();
}
public void ValidateProbabilityLn(int[] x)
{
var b = new Multinomial(_largeP, x.Sum());
AssertHelpers.AlmostEqualRelative(b.ProbabilityLn(x), Math.Log(b.Probability(x)), 12);
}
public void ValidateProbability(double[] p, int[] x, double res)
{
var b = new Multinomial(p, x.Sum());
AssertHelpers.AlmostEqualRelative(b.Probability(x), res, 12);
}
public void ValidateMean(double[] p, int n, double[] res)
{
var b = new Multinomial(p, n);
for (var i = 0; i < b.P.Length; i++)
{
AssertHelpers.AlmostEqualRelative(res[i], b.Mean[i], 12);
}
}
public void ValidateToString()
{
var b = new Multinomial(_smallP, 4);
Assert.AreEqual("Multinomial(Dimension = 3, Number of Trails = 4)", b.ToString());
}
