Accord.Tests.MachineLearning.DecisionTreeTest.DeserializationTest1 C# (CSharp) Method

        public void DeserializationTest1()
        {
            MemoryStream stream = new MemoryStream(Properties.Resources.tree);

            DecisionTree tree = Serializer.Load<DecisionTree>(stream);

            Assert.AreEqual(4, tree.InputCount);
            Assert.AreEqual(2, tree.OutputClasses);
            Assert.IsNotNull(tree.Root);

            DecisionTree newtree;
            int[][] inputs;
            int[] outputs;

            ID3LearningTest.CreateMitchellExample(out newtree, out inputs, out outputs);


            for (int i = 0; i < inputs.Length; i++)
            {
                int y = tree.Compute(inputs[i].ToDouble());
                Assert.AreEqual(outputs[i], y);
            }

            DecisionNode[] expected = 
            {
                tree.Root,
                tree.Root.Branches[0], // Outlook = 0
                tree.Root.Branches[1], // Outlook = 1
                tree.Root.Branches[2], // Outlook = 2
                tree.Root.Branches[0].Branches[0], // Humidity = 0
                tree.Root.Branches[0].Branches[1], // Humidity = 1
                tree.Root.Branches[2].Branches[0], // Wind = 0
                tree.Root.Branches[2].Branches[1], // Wind = 1
            };

            int c = 0;
            foreach (var node in tree.Traverse(DecisionTreeTraversal.BreadthFirst))
                Assert.AreEqual(expected[c++], node);
            Assert.AreEqual(expected.Length, c);

        }
    }