Accord.Tests.MachineLearning.NaiveBayesGenericTest.ComputeTest3 C# (CSharp) Method

        public void ComputeTest3()
        {
            // Let's say we have the following data to be classified
            // into three possible classes. Those are the samples:
            //
            double[][] inputs =
            {
                //               input         output
                new double[] { 0, 1, 1, 0 }, //  0 
                new double[] { 0, 1, 0, 0 }, //  0
                new double[] { 0, 0, 1, 0 }, //  0
                new double[] { 0, 1, 1, 0 }, //  0
                new double[] { 0, 1, 0, 0 }, //  0
                new double[] { 1, 0, 0, 0 }, //  1
                new double[] { 1, 0, 0, 0 }, //  1
                new double[] { 1, 0, 0, 1 }, //  1
                new double[] { 0, 0, 0, 1 }, //  1
                new double[] { 0, 0, 0, 1 }, //  1
                new double[] { 1, 1, 1, 1 }, //  2
                new double[] { 1, 0, 1, 1 }, //  2
                new double[] { 1, 1, 0, 1 }, //  2
                new double[] { 0, 1, 1, 1 }, //  2
                new double[] { 1, 1, 1, 1 }, //  2
            };

            int[] outputs = // those are the class labels
            {
                0, 0, 0, 0, 0,
                1, 1, 1, 1, 1,
                2, 2, 2, 2, 2,
            };

            // Create a new continuous naive Bayes model for 3 classes using 4-dimensional Gaussian distributions
            var bayes = new NaiveBayes<NormalDistribution>(inputs: 4, classes: 3, initial: NormalDistribution.Standard);

            // Teach the Naive Bayes model. The error should be zero:
            double error = bayes.Estimate(inputs, outputs, options: new NormalOptions
            {
                Regularization = 1e-5 // to avoid zero variances
            });

            // Now, let's test  the model output for the first input sample:
            int answer = bayes.Compute(new double[] { 0, 1, 1, 0 }); // should be 1


            Assert.AreEqual(0, error);
            for (int i = 0; i < inputs.Length; i++)
            {
                double actual = bayes.Compute(inputs[i]);
                double expected = outputs[i];
                Assert.AreEqual(expected, actual);
            }
        }