| public Fit ( double observations, double weights ) : IDistribution | ||
| observations | double | /// The array of observations to fit the model against. /// |
| weights | double | /// The weight vector containing the weight for each of the samples. /// |
| return | IDistribution | |
public override IDistribution Fit(double[] observations, double[] weights)
{
if (observations.Length != weights.Length)
throw new ArgumentException("The weight vector should have the same size as the observations", "weights");
var p = new double[probabilities.Length];
for (int i = 0; i < observations.Length; i++)
{
var j = (int) observations[i];
p[j] += weights[i];
}
return new GeneralDiscreteDistribution(p);
}
public void FitTest2()
{
double[] expected = { 0.50, 0.00, 0.25, 0.25 };
GeneralDiscreteDistribution target;
double[] values = { 0.00, 2.00, 3.00 };
double[] weights = { 0.50, 0.25, 0.25 };
target = new GeneralDiscreteDistribution(4);
target.Fit(values, weights);
double[] actual = target.Frequencies;
Assert.IsTrue(Matrix.IsEqual(expected, actual));
// --
double[] values2 = { 0.00, 0.00, 2.00, 3.00 };
double[] weights2 = { 0.25, 0.25, 0.25, 0.25 };
target = new GeneralDiscreteDistribution(4);
target.Fit(values2, weights2);
double[] actual2 = target.Frequencies;
Assert.IsTrue(Matrix.IsEqual(expected, actual2));
}
