public void FitTest1()
{
EmpiricalDistribution target = new EmpiricalDistribution(new double[] { 0 });
double[] observations = { 1, 5, 2, 5, 1, 7, 1, 9, 4, 2 };
double[] weights = null;
IFittingOptions options = null;
target.Fit(observations, weights, options);
Assert.AreEqual(1.8652004071576875, target.Smoothing);
Assert.AreNotSame(observations, target.Samples);
CollectionAssert.AreEqual(observations, target.Samples);
}
public void FitTest2()
{
EmpiricalDistribution target = new EmpiricalDistribution(new double[] { 0 });
double[] observations = { 5, 5, 1, 4, 1, 2, 2, 3, 3, 3, 4, 3, 3, 3, 4, 3, 2, 3 };
double[] weights = null;
IFittingOptions options = new EmpiricalOptions {
SmoothingRule = FaultySmoothingRule
};
target.Fit(observations, weights, options);
Assert.AreEqual(1.9144923416414432, target.Smoothing);
Assert.AreNotSame(observations, target.Samples);
CollectionAssert.AreEqual(observations, target.Samples);
}
public void FitTest()
{
EmpiricalDistribution target = new EmpiricalDistribution(new double[] { 0 });
double[] observations = { 1, 5, 2, 5, 1, 7, 1, 9, 4, 2 };
double[] weights = null;
IFittingOptions options = null;
target.Fit(observations, weights, options);
Assert.AreNotSame(observations, target.Samples);
for (int i = 0; i < observations.Length; i++)
{
Assert.AreEqual(observations[i], target.Samples[i]);
}
}