Accord.Tests.Statistics.KernelDiscriminantAnalysisTest.ConstructorTest1 C# (CSharp) Method

        public void ConstructorTest1()
        {
            double[,] inputs = 
            {
                { 1, 1, },
                { 2, 2, },
                { 3, 3, },
            };

            int[] output = { 1, 2, 3 };

            IKernel kernel = new Gaussian(0.1);

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

            Assert.AreEqual(3, target.Classes.Count);
            Assert.AreEqual(0, target.Classes[0].Index);
            Assert.AreEqual(1, target.Classes[1].Index);
            Assert.AreEqual(2, target.Classes[2].Index);
            Assert.AreEqual(1, target.Classes[0].Number);
            Assert.AreEqual(2, target.Classes[1].Number);
            Assert.AreEqual(3, target.Classes[2].Number);

            Assert.AreEqual(output, target.Classifications);
            Assert.AreEqual(kernel, target.Kernel);
            Assert.AreEqual(1e-4, target.Regularization);
            Assert.AreEqual(inputs, target.Source);
            //Assert.AreEqual(0.001, target.Threshold);

            Assert.IsNull(target.CumulativeProportions);
            Assert.IsNull(target.DiscriminantMatrix);
            Assert.IsNull(target.DiscriminantProportions);
            Assert.IsNull(target.Discriminants);
            Assert.IsNull(target.Eigenvalues);
            Assert.IsNull(target.Result);
            Assert.IsNull(target.ScatterBetweenClass);
            Assert.IsNull(target.ScatterMatrix);
            Assert.IsNull(target.ScatterWithinClass);
            Assert.IsNull(target.StandardDeviations);
            Assert.IsNull(target.Means);
        }