Accord.Tests.Statistics.DiscreteDistributionTest.FitTest_vector_inputs C# (CSharp) 메소드

FitTest_vector_inputs() 개인적인 메소드

private FitTest_vector_inputs ( ) : void
리턴 void
        public void FitTest_vector_inputs()
        {
            double[] expected = { 0.50, 0.00, 0.25, 0.25 };

            GeneralDiscreteDistribution target;

            double[] values = { 0.00, 2.00, 3.00 };
            double[] weights = { 0.50, 0.25, 0.25 };
            target = new GeneralDiscreteDistribution(4);
            target.Fit(values, weights);
            double[] actual = target.Frequencies;

            Assert.IsTrue(Matrix.IsEqual(expected, actual));

            // --

            double[][] values2 = 
            {
                new[] { 1.00, 0.00, 0.00, 0.00 },
                new[] { 0.00, 0.00, 0.00, 0.00 },
                new[] { 0.00, 0.00, 1.00, 0.00 },
                new[] { 0.00, 0.00, 0.00, 1.00 },
            };

            double[] weights2 = { 0.50, 0.00, 0.25, 0.25 };

            target = new GeneralDiscreteDistribution(4);
            target.Fit(values2, weights2);
            double[] actual2 = target.Frequencies;
            Assert.IsTrue(Matrix.IsEqual(expected, actual2));


            double[][] values3 = 
            {
                new[] { 1.00, 0.00, 0.00, 0.00 },
                new[] { 0.00, 1.00, 0.00, 0.00 },
                new[] { 0.00, 0.00, 1.00, 0.00 },
                new[] { 0.00, 0.00, 0.00, 1.00 },
            };

            double[] weights3 = { 0.50, 0.00, 0.25, 0.25 };

            target = new GeneralDiscreteDistribution(4);
            target.Fit(values3, weights3);
            double[] actual3 = target.Frequencies;
            Assert.IsTrue(Matrix.IsEqual(expected, actual3));


            double[][] values4 = 
            {
                new[] { 0.50, 0.00, 0.00, 0.00 },
                new[] { 0.00, 0.00, 0.00, 0.00 },
                new[] { 0.00, 0.00, 0.25, 0.00 },
                new[] { 0.00, 0.00, 0.00, 0.25 },
            };

            target = new GeneralDiscreteDistribution(4);
            target.Fit(values4);
            double[] actual4 = target.Frequencies;
            Assert.IsTrue(Matrix.IsEqual(expected, actual4));
        }