Accord.Tests.Statistics.MinimumMeanDistanceClassifierTest.ComputeTest C# (CSharp) Method

ComputeTest() private method

private ComputeTest ( ) : void
return void
        public void ComputeTest()
        {
            double[][] inputs = 
            {
                // Class 0
                new double[] {  4,  1 }, 
                new double[] {  2,  4 },
                new double[] {  2,  3 },
                new double[] {  3,  6 },
                new double[] {  4,  4 },

                // Class 1
                new double[] {  9, 10 },
                new double[] {  6,  8 },
                new double[] {  9,  5 },
                new double[] {  8,  7 },
                new double[] { 10,  8 }
            };

            int[] output = 
            {
                0, 0, 0, 0, 0, // The first five are from class 0
                1, 1, 1, 1, 1  // The last five are from class 1
            };

            // Then, we will create a LDA for the given instances.
            var mmdc = new MinimumMeanDistanceClassifier(inputs, output);

            double[][] projection = mmdc.Scores(inputs);

            // Or perform classification using:
            int[] results = mmdc.Decide(inputs);


            Assert.IsTrue(results.IsEqual(output));
            
            //string str = projection.ToCSharp();

            double[][] expected = new double[][] {
                new double[] { -7.76, -62.92 },
                new double[] { -1.16, -53.92 },
                new double[] { -1.36, -62.12 },
                new double[] { -5.76, -31.72 },
                new double[] { -1.16, -32.32 },
                new double[] { -76.96, -6.12 },
                new double[] { -28.36, -5.92 },
                new double[] { -37.96, -7.12 },
                new double[] { -36.56, -0.52 },
                new double[] { -68.36, -2.72 } 
            };

            Assert.IsTrue(expected.IsEqual(projection, 1e-6));
        }
MinimumMeanDistanceClassifierTest