Accord.Tests.Statistics.Models.Fields.MarkovContinuousFunctionTest.ComputeDeoptimizedTest C# (CSharp) Method

        public void ComputeDeoptimizedTest()
        {
            var model = CreateModel1();

            var target = new MarkovContinuousFunction(model);

#pragma warning disable 0618
            target.Deoptimize();
#pragma warning restore 0618

            double actual;
            double expected;

            double[] x = { 0, 1 };


            for (int c = 0; c < model.Classes; c++)
            {
                for (int i = 0; i < model[c].States; i++)
                {
                    // Check initial state transitions
                    expected = model.Priors[c] * Math.Exp(model[c].Probabilities[i]) * model[c].Emissions[i].ProbabilityDensityFunction(x[0]);
                    actual = Math.Exp(target.Factors[c].Compute(-1, i, x, 0, c));
                    Assert.AreEqual(expected, actual, 1e-6);
                    Assert.IsFalse(double.IsNaN(actual));
                }

                for (int t = 1; t < x.Length; t++)
                {
                    // Check normal state transitions
                    for (int i = 0; i < model[c].States; i++)
                    {
                        for (int j = 0; j < model[c].States; j++)
                        {
                            double xb = Math.Exp(model[c].Transitions[i, j]);
                            double xc = model[c].Emissions[j].ProbabilityDensityFunction(x[t]);
                            expected = xb * xc;
                            actual = Math.Exp(target.Factors[c].Compute(i, j, x, t, c));
                            Assert.AreEqual(expected, actual, 1e-6);
                            Assert.IsFalse(double.IsNaN(actual));
                        }
                    }
                }
            }
        }