Accord.Tests.Statistics.PartialLeastSquaresAnalysisTest.VariableImportanceTest C# (CSharp) Метод

        public void VariableImportanceTest()
        {
            double[,] X =
            {
                { 2.5, 2.4 },
                { 0.5, 0.7 },
                { 2.2, 2.9 },
                { 1.9, 2.2 },
                { 3.1, 3.0 },
                { 2.3, 2.7 },
                { 2.0, 1.6 },
                { 1.0, 1.1 },
                { 1.5, 1.6 },
                { 1.1, 0.9 },
            };

            double[,] Y = 
            {
                { 1 },
                { 0 },
                { 1 },
                { 0 },
                { 1 },
                { 1 },
                { 0 },
                { 0 },
                { 0 },
                { 0 },
            };


            var pls = new PartialLeastSquaresAnalysis(X, Y, AnalysisMethod.Center,
                PartialLeastSquaresAlgorithm.NIPALS);


            pls.Compute(1);

            double[][] actual1 = pls.Importance;
            double[] actual1v = pls.Factors[0].VariableImportance;
            double[] expected1v = { 0.9570761, 1.041156 };
            Assert.IsTrue(Matrix.IsEqual(actual1v, expected1v, 0.0001));



            pls.Compute(2);

            double[] actual2v1 = pls.Factors[0].VariableImportance;
            double[] expected2v1 = { 0.9570761, 1.041156 };
            Assert.IsTrue(Matrix.IsEqual(actual2v1, expected2v1, 0.0001));

            double[] actual2v2 = pls.Factors[1].VariableImportance;
            double[] expected2v2 = { 1.0187709, 0.980870 };
            Assert.IsTrue(Matrix.IsEqual(actual2v2, expected2v2, 0.0001));

            double[][] actual2 = pls.Importance;
            double[,] expected2 = new double[,]
            {
                { 0.9570761, 1.0187709 },
                { 1.041156, 0.980870 }
            };

            Assert.IsTrue(Matrix.IsEqual(actual2, expected2, 0.0001));

        }