Accord.Tests.Statistics.GenericRunningMarkovClassifierTest.createClassifier C# (CSharp) 메소드

createClassifier() 개인적인 정적인 메소드

private static createClassifier ( int &sequences, bool rejection = false ) : HiddenMarkovClassifier
sequences int
rejection bool
리턴 HiddenMarkovClassifier
        private static HiddenMarkovClassifier createClassifier(
            out int[][] sequences, bool rejection = false)
        {
            sequences = new int[][] 
            {
                new int[] { 0,1,2,3,4 }, 
                new int[] { 4,3,2,1,0 }, 
            };

            int[] labels = { 0, 1 };

            HiddenMarkovClassifier classifier =
                new HiddenMarkovClassifier(2, new Ergodic(2), symbols: 5);

            var teacher = new HiddenMarkovClassifierLearning(classifier,

                modelIndex => new BaumWelchLearning(classifier.Models[modelIndex])
                {
                    Tolerance = 0.0001,
                    Iterations = 0
                }
            );

            teacher.Rejection = rejection;
            teacher.Run(sequences, labels);

            return classifier;
        }
GenericRunningMarkovClassifierTest