public Gaussian(ILinearAlgebraProvider lap, bool zeroInitialBias = true, double stdDev = 0.1,
GaussianVarianceCalibration varianceCalibration = GaussianVarianceCalibration.SquareRootN,
GaussianVarianceCount varianceCount = GaussianVarianceCount.FanIn)
{
_lap = lap;
_zeroBias = zeroInitialBias;
_varianceCalibration = varianceCalibration;
_varianceCount = varianceCount;
_distribution = lap.IsStochastic ? new Normal(0, stdDev)
: new Normal(0, stdDev, new Random(0));
}
/// <summary>
/// Creates a gaussian weight initialiser
/// </summary>
/// <param name="zeroBias">True to set bias values to zero, otherwise bias initialisation is treated the same as weight initialisation</param>
/// <param name="stdDev">Standard deviation of gaussian distribution</param>
/// <param name="varianceCalibration">How to calibrate the variance</param>
/// <param name="varianceCount">How to count connections while calibrating connections</param>
public IWeightInitialisation GaussianWeightInitialisation(
bool zeroBias = true,
float stdDev = 0.1f,
GaussianVarianceCalibration varianceCalibration = GaussianVarianceCalibration.SquareRootN,
GaussianVarianceCount varianceCount = GaussianVarianceCount.FanIn
) => new Gaussian(_lap, zeroBias, stdDev, varianceCalibration, varianceCount);
