Accord.Tests.Statistics.Models.Fields.ConjugateGradientHiddenLearningTest.RunTest2 C# (CSharp) Method

        public void RunTest2()
        {
            var inputs = QuasiNewtonHiddenLearningTest.inputs;
            var outputs = QuasiNewtonHiddenLearningTest.outputs;


            Accord.Math.Tools.SetupGenerator(0);

            var function = new MarkovDiscreteFunction(2, 2, 2);

            var model = new HiddenConditionalRandomField<int>(function);
            var target = new HiddenConjugateGradientLearning<int>(model);

            double[] actual = new double[inputs.Length];
            double[] expected = new double[inputs.Length];

            for (int i = 0; i < inputs.Length; i++)
            {
                actual[i] = model.Compute(inputs[i]);
                expected[i] = outputs[i];
            }


            double ll0 = model.LogLikelihood(inputs, outputs);
            double error = target.Run(inputs, outputs);
            double ll1 = model.LogLikelihood(inputs, outputs);

            for (int i = 0; i < inputs.Length; i++)
            {
                actual[i] = model.Compute(inputs[i]);
                expected[i] = outputs[i];
            }


            Assert.AreEqual(-5.5451774444795623, ll0, 1e-10);
            Assert.AreEqual(0, error, 1e-10);
            Assert.IsFalse(double.IsNaN(error));

            for (int i = 0; i < inputs.Length; i++)
                Assert.AreEqual(expected[i], actual[i]);

            Assert.IsTrue(ll1 > ll0);
        }
    }