Accord.Tests.Statistics.RunningMarkovModelTest.createModel C# (CSharp) Method

        private static HiddenMarkovModel<MultivariateNormalDistribution> createModel()
        {
            double[][][] sequences =
            {
                new double[][] 
                {
                    new double[] { 1, 2 }, 
                    new double[] { 6, 7 }, 
                    new double[] { 2, 3 }, 
                },
                new double[][] 
                {
                    new double[] { 2, 2 }, 
                    new double[] { 9, 8 }, 
                    new double[] { 1, 0 }, 
                },
                new double[][] 
                {
                    new double[] { 1, 3 }, 
                    new double[] { 8, 9 }, 
                    new double[] { 3, 3 }, 
                },
            };

            var density = new MultivariateNormalDistribution(dimension: 2);

            var model = new HiddenMarkovModel<MultivariateNormalDistribution>(new Forward(2), density);

            var teacher = new BaumWelchLearning<MultivariateNormalDistribution>(model)
            {
                Tolerance = 0.0001,
                Iterations = 0,
            };

            double logLikelihood = teacher.Run(sequences);
            return model;
        }
    }