Accord.Tests.Statistics.KernelDiscriminantAnalysisTest.ComputeTest2 C# (CSharp) Method

        public void ComputeTest2()
        {
            // Schölkopf KPCA toy example
            double[,] inputs = scholkopf();

            int[] output = Matrix.Expand(new int[,] { { 1 }, { 2 }, { 3 } }, 
                    new int[] { 30, 30, 30 }).GetColumn(0);

            IKernel kernel = new Gaussian(0.2);
            var target = new KernelDiscriminantAnalysis(inputs, output, kernel);

            target.Compute();


            double[,] actual = target.Transform(inputs, 2);

            double[,] expected1 =
            {
                { 1.2785801485080475, 0.20539157505913622},
                { 1.2906613255489541, 0.20704272225753775},
                { 1.2978134597266808, 0.20802649628632208},
            };

            double[,] actual1 = actual.Submatrix(0, 2, 0, 1);

            Assert.IsTrue(Matrix.IsEqual(actual1, expected1, 0.0000001));

            // Assert the result equals the transformation of the input
            double[,] result = target.Result;
            double[,] projection = target.Transform(inputs);
            Assert.IsTrue(Matrix.IsEqual(result, projection));
        }