Accord.Tests.MachineLearning.C45LearningTest.same_input_different_output C# (CSharp) Метод

        public void same_input_different_output()
        {
            double[][] inputs = new double[][] {
                new double[] { 1 },
                new double[] { 0 },
                new double[] { 2 },
                new double[] { 3 },
                new double[] { 0 },
            };

            int[] outputs = new int[] {
                11,
                00,
                22,
                33,
                01
            };


            DecisionVariable[] variables = { new DecisionVariable("x", DecisionVariableKind.Continuous) };

            DecisionTree decisionTree = new DecisionTree(variables, 34);
            C45Learning c45Learning = new C45Learning(decisionTree)
            {
                Join = 10,
                MaxHeight = 10
            };
            c45Learning.Run(inputs, outputs); // System.AggregateException thrown here

            int[] actual = decisionTree.Decide(inputs);

            Assert.AreEqual(11, actual[0]);
            Assert.AreEqual(00, actual[1]);
            Assert.AreEqual(22, actual[2]);
            Assert.AreEqual(33, actual[3]);
            Assert.AreEqual(00, actual[4]);
        }
    }