Accord.Tests.MachineLearning.BootstrapTest.BootstrapConstructorTest2 C# (CSharp) Метод

        public void BootstrapConstructorTest2()
        {
            // Example from Masters, 1995

            // Assume a small dataset
            double[] data = { 3, 5, 2, 1, 7 };
            // indices      { 0, 1, 2, 3, 4 }

            int[][] resamplings = 
            {
                new [] { 4, 0, 2, 0, 3 }, // indices of { 7, 3, 2, 3, 1 }
                new [] { 1, 3, 3, 0, 4 }, // indices of { 5, 1, 1, 3, 7 }
                new [] { 2, 2, 4, 3, 0 }, // indices of { 2, 2, 7, 1, 3 }
            };

            Bootstrap target = new Bootstrap(data.Length, resamplings);

            target.Fitting = (int[] trainingSamples, int[] validationSamples) =>
                {
                    double[] subsample = data.Submatrix(trainingSamples);
                    double mean = subsample.Mean();

                    return new BootstrapValues(mean, 0);
                };

            var result = target.Compute();

            double actualMean = result.Training.Mean;
            double actualVar = result.Training.Variance;

            Assert.AreEqual(3.2, actualMean, 1e-10);
            Assert.AreEqual(0.04, actualVar, 1e-10);
        }