/// <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);
}
}
