/// <summary> /// Initializes a new instance of the GaussianStatistic class. /// </summary> /// <param name="length">Length of the Gaussian distribution.</param> public GaussianStatistic(int length) { _mean = new UniStatistic[length]; _variance = new UniStatistic[length]; for (int i = 0; i < length; i++) { Mean[i] = new UniStatistic(); Variance[i] = new UniStatistic(); } }
/// <summary> /// Initializes a new instance of the LinXformStatistic class. /// </summary> /// <param name="linXform">Linear transform.</param> public LinXformStatistic(LinXForm linXform) { if (linXform.Bias != null) { _bias = new UniStatistic[linXform.Bias.Length]; for (int i = 0; i < _bias.Length; i++) { _bias[i] = new UniStatistic(); } } _blocks = new List<UniStatistic[,]>(); for (int i = 0; i < linXform.Blocks.Count; i++) { float[,] block = linXform.Blocks[i]; UniStatistic[,] matrix = new UniStatistic[block.GetLength(0), block.GetLength(1)]; for (int j = 0; j < block.GetLength(0); j++) { for (int k = 0; k < block.GetLength(1); k++) { matrix[j, k] = new UniStatistic(); } } _blocks.Add(matrix); } }