Accord.Tests.Statistics.GenericHiddenMarkovModelTest.LearnTest_EmptySequence C# (CSharp) Method

        public void LearnTest_EmptySequence()
        {
            double[][] sequences =
            {
                new double[] { -0.223, -1.05, -0.574, 0.965, -0.448, 0.265, 0.087, 0.362, 0.717, -0.032 },
                new double[] { -1.05, -0.574, 0.965, -0.448, 0.265, 0.087, 0.362, 0.717, -0.032, -0.346 },
                new double[] {  },
                new double[] { 0.965, -0.448, 0.265, 0.087, 0.362, 0.717, -0.032, -0.346, -0.989, -0.619 },
                new double[] { -0.448, 0.265, 0.087, 0.362, 0.717, -0.032, -0.346, -0.989, -0.619, 0.02 },
                new double[] { 0.265, 0.087, 0.362, 0.717, -0.032, -0.346, -0.989, -0.619, 0.02, -0.297 },
            };


            var density = new NormalDistribution(mean: 2, stdDev: 1.0);

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

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

            bool thrown = false;

            try
            {
                double logLikelihood = teacher.Run(sequences);
            }
            catch (ArgumentException ex)
            {
                Assert.AreEqual("observations", ex.ParamName);
                thrown = true;
            }

            Assert.IsTrue(thrown);
        }