public void FitTest2()
{
double[][] observations =
{
new double[] { 0.1000, -0.2000 },
new double[] { 0.4000, 0.6000 },
new double[] { 2.0000, 0.2000 },
new double[] { 2.0000, 0.3000 }
};
double[] mean = Accord.Statistics.Tools.Mean(observations);
double[,] cov = Accord.Statistics.Tools.Covariance(observations);
var target = new MultivariateEmpiricalDistribution(observations);
target.Fit(observations);
Assert.IsTrue(Matrix.IsEqual(mean, target.Mean));
Assert.IsTrue(Matrix.IsEqual(cov, target.Covariance, 1e-10));
}
public void FitTest()
{
double[][] observations =
{
new double[] { 0.1000, -0.2000 },
new double[] { 0.4000, 0.6000 },
new double[] { 2.0000, 0.2000 },
new double[] { 2.0000, 0.3000 }
};
var target = new MultivariateEmpiricalDistribution(observations);
double[] weigths = { 0.25, 0.25, 0.25, 0.25 };
bool thrown = false;
try
{
target.Fit(observations, weigths);
}
catch (ArgumentException)
{
thrown = true;
}
Assert.IsTrue(thrown);
}
