Accord.Tests.MachineLearning.GaussianMixtureModelTest.GaussianMixtureModelTest2 C# (CSharp) Method

        public void GaussianMixtureModelTest2()
        {
            Accord.Math.Random.Generator.Seed = 0;

            int height = 16;
            int width = 16;

            var gmm = new GaussianMixtureModel(3);
            // gmm.Regularization = 0;

            Assert.AreEqual(3, gmm.Gaussians.Count);
            Assert.IsNull(gmm.Gaussians[0].Covariance);
            Assert.IsNull(gmm.Gaussians[0].Mean);


            double[][][] A = new double[3][][];
            A[0] = new double[height][];
            A[1] = new double[height][];
            A[2] = new double[height][];

            for (int j = 0; j < height; j++)
            {
                A[0][j] = new double[width];
                A[1][j] = new double[width];
                A[2][j] = new double[width];

                for (int k = 0; k < width; k++)
                {
                    A[0][j][k] = 102;
                    A[1][j][k] = 57;
                    A[2][j][k] = 200;
                }
            }

            double[][] B = Matrix.Stack(A);

            bool thrown = false;
            try
            {
                var result = gmm.Compute(B);
            }
            catch (NonPositiveDefiniteMatrixException)
            {
                thrown = true;
            }

            Assert.IsTrue(thrown);
        }