Accord.Tests.MachineLearning.C45LearningTest.same_input_different_output_minimal C# (CSharp) Méthode

        public void same_input_different_output_minimal()
        {
            double[][] inputs = new double[][] {
                new double[] { 0 },
                new double[] { 0 }
            };

            int[] outputs = new int[] {
                1,
                0
            };


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

            DecisionTree decisionTree = new DecisionTree(variables, 2);
            C45Learning c45Learning = new C45Learning(decisionTree);
            c45Learning.Run(inputs, outputs); // System.AggregateException thrown here

            Assert.AreEqual(decisionTree.Decide(new[] { 0 }), 0);
        }