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); }