Accord.Tests.MachineLearning.AdaBoostTest.ConstructorTest2 C# (CSharp) Method

        public void ConstructorTest2()
        {
            double[][] inputs = LeastSquaresLearningTest.yinyang.GetColumns(new[] { 0, 1 }).ToJagged();
            int[] outputs = LeastSquaresLearningTest.yinyang.GetColumn(2).ToInt32();

            var outputs2 = outputs.Apply(x => x > 0 ? 1.0 : 0.0);

            var classifier = new Boost<Weak<LogisticRegression>>();

            var teacher = new AdaBoost<Weak<LogisticRegression>>(classifier)
            {
                Creation = (weights) =>
                {
                    LogisticRegression reg = new LogisticRegression(2, intercept: 1);

                    IterativeReweightedLeastSquares irls = new IterativeReweightedLeastSquares(reg)
                    {
                        ComputeStandardErrors = false
                    };

                    for (int i = 0; i < 50; i++)
                        irls.Run(inputs, outputs2, weights);

                    return new Weak<LogisticRegression>(reg, (s, x) => Math.Sign(s.Compute(x) - 0.5));
                },

                Iterations = 50,
                Tolerance = 1e-5,
            };



            double error = teacher.Run(inputs, outputs);


            Assert.AreEqual(0.11, error);

            Assert.AreEqual(2, classifier.Models.Count);
            Assert.AreEqual(0.63576818449825168, classifier.Models[0].Weight);
            Assert.AreEqual(0.36423181550174832, classifier.Models[1].Weight);

            int[] actual = new int[outputs.Length];
            for (int i = 0; i < actual.Length; i++)
                actual[i] = classifier.Compute(inputs[i]);

            //for (int i = 0; i < actual.Length; i++)
            //    Assert.AreEqual(outputs[i], actual[i]);
        }