public void JaggedSetValues2() { Array jaggedGaussian = JaggedArray.ConvertToNew( jagged, typeof(int), typeof(Gaussian), delegate(object elt) { return(new Gaussian(1.0, 1.0)); }); Assert.Equal( JaggedArray.GetLength(jaggedGaussian, typeof(Gaussian)), JaggedArray.GetLength(jagged, typeof(int))); JaggedArray.ConvertElements2( jaggedGaussian, jagged, typeof(Gaussian), delegate(object elt1, object elt2) { Gaussian g = (Gaussian)elt1; double d = (int)elt2; return(Gaussian.FromMeanAndPrecision(d + g.GetMean(), 2.0)); }); int i = 0; foreach (Gaussian g in JaggedArray.ElementIterator(jaggedGaussian, typeof(Gaussian))) { Assert.Equal(g.GetMean(), 1.0 + arrExpected[i++]); } }
public void Array2DArrayEstimatorTest() { // Create the estimator // element type is double[] //Estimator<GaussianArray2DArray> est = null; int length1 = ga2aArrayOfDist.GetLength(0); int length2 = ga2aArrayOfDist.GetLength(1); Array2DEstimator <GaussianArrayEstimator, GaussianArray2DArray, GaussianArray, double[]> est = new Array2DEstimator <GaussianArrayEstimator, GaussianArray2DArray, GaussianArray, double[]>( Utilities.Util.ArrayInit(length1, length2, (i, j) => new GaussianArrayEstimator(Utilities.Util.ArrayInit(ga2aArrayOfDist[i, j].Length, k => new GaussianEstimator())) )); // Add some samples to the estimator int nSamples = 5; // Create a sample an mean variable of the right structure double[, ][] mean = (double[, ][]) JaggedArray.ConvertToNew( ga2aArrayOfDist, typeof(double), delegate(object elt) { return(0.0); }); double[, ][] sample = (double[, ][]) JaggedArray.ConvertToNew( ga2aArrayOfDist, typeof(double), delegate(object elt) { return(0.0); }); // Create samples and add them to the estimator. Accumulate sum of samples at the same time for (int nSamp = 0; nSamp < nSamples; nSamp++) { JaggedArray.ConvertElements2( sample, ga2aArrayOfDist, delegate(object smp, object dst) { return(((Gaussian)dst).Sample()); }); est.Add(sample); JaggedArray.ConvertElements2( mean, sample, delegate(object mn, object smp) { return((double)mn + (double)smp); }); } // Hand calculate the sample mean JaggedArray.ConvertElements( mean, delegate(object mn) { return(((double)mn) / ((double)nSamples)); }); // Let the estimator do the work GaussianArray2DArray result = new GaussianArray2DArray(length1, length2, (i, j) => new GaussianArray(ga2aArrayOfDist[i, j].Length)); result = est.GetDistribution(result); // The results should be identical to a very high precision for (int i = 0; i < dim1; i++) { for (int j = 0; j < dim2; j++) { for (int k = 0; k < result[i, j].Count; k++) { Assert.True(System.Math.Abs(result[i, j][k].GetMean() - mean[i, j][k]) < 1e-9); } } } }