Accord.Tests.Statistics.Models.Fields.IndependentMarkovFunctionTest.GradientDeoptimizeTest2 C# (CSharp) Method

        public void GradientDeoptimizeTest2()
        {
            double[][][] sequences2;
            int[] labels2;

            var hmm = CreateModel3(out sequences2, out labels2);
            var function = new MarkovMultivariateFunction(hmm);

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

            var model = new HiddenConditionalRandomField<double[]>(function);
            var target = new ForwardBackwardGradient<double[]>(model);

            var inputs = sequences2;
            var outputs = labels2;

            double[] actual = target.Gradient(function.Weights, inputs, outputs);

            FiniteDifferences diff = new FiniteDifferences(function.Weights.Length);
            diff.Function = parameters => func(model, parameters, inputs, outputs);
            double[] expected = diff.Compute(function.Weights);


            for (int i = 0; i < actual.Length; i++)
            {
                Assert.AreEqual(expected[i], actual[i], 1e-3);
                Assert.IsFalse(double.IsNaN(actual[i]));
                Assert.IsFalse(double.IsNaN(expected[i]));
            }
        }