Accord.Tests.Statistics.MultinomialLogisticRegressionTest.CreateInputOutputsExample2 C# (CSharp) Method

        public static void CreateInputOutputsExample2(out double[][] inputs, out int[] outputs)
        {
            inputs = example1.Submatrix(null, 1, 2).ToJagged().InsertColumn().InsertColumn().InsertColumn();
            outputs = example1.Submatrix(null, 0, 0).Reshape(0).Select(x => (int)x - 1).ToArray();
        }

        public void CoefficientsTest1()
        {
            double[][] inputs;
            int[]      outputs;

            MultinomialLogisticRegressionTest.CreateInputOutputsExample2(out inputs, out outputs);

            var analysis = new MultinomialLogisticRegressionAnalysis(inputs, outputs);

            int inputCount = 5;
            int coeffCount = inputCount + 1;

            var mlr = analysis.regression;

            analysis.Iterations = 100;
            analysis.Tolerance  = 1e-6;

            analysis.Compute();

            foreach (var coefficient in analysis.Coefficients)
            {
                Assert.IsNotNull(coefficient.Analysis);
                Assert.IsNotNull(coefficient.Confidence);
                Assert.IsNotNull(coefficient.ConfidenceLower);
                Assert.IsNotNull(coefficient.ConfidenceUpper);
                Assert.IsNotNull(coefficient.Name);
                Assert.IsNotNull(coefficient.Class);
                Assert.IsNotNull(coefficient.StandardError);
                Assert.IsNotNull(coefficient.Value);
            }


            Assert.AreEqual(13, analysis.Coefficients.Count);
            Assert.AreEqual(2, analysis.CoefficientValues.Length);

            var class1 = analysis.CoefficientValues[0];

            Assert.AreEqual(-11.774547061739975, class1[0], 1e-10);
            Assert.AreEqual(0.523813075806107, class1[1], 1e-10);
            Assert.AreEqual(0.36820307277024716, class1[2], 1e-10);
            Assert.AreEqual(0, class1[3], 1e-6);
            Assert.AreEqual(0, class1[4], 1e-6);
            Assert.AreEqual(0, class1[5], 1e-6);

            var class2 = analysis.CoefficientValues[1];

            Assert.AreEqual(-22.721272157115514, class2[0], 1e-10);
            Assert.AreEqual(0.46593949381162203, class2[1], 1e-10);
            Assert.AreEqual(0.68590438098052586, class2[2], 1e-10);
            Assert.AreEqual(0, class2[3], 1e-6);
            Assert.AreEqual(0, class2[4], 1e-6);
            Assert.AreEqual(0, class2[5], 1e-6);
        }