public new static KGGaussian <T> FromMatlabStruct(MatlabStruct s)
{
// s = struct();
// s.className=class(this);
// s.kegauss = this.kegauss.toStruct();
// s.embed_width2 = this.embed_width2;
// s.width2 = this.width2;
//
string className = s.GetString("className");
if (!className.Equals(MATLAB_CLASS))
{
throw new ArgumentException("The input does not represent a " + typeof(KGGaussian <T>));
}
// KEGaussian<T> keGauss = KEGaussian<T>.FromMatlabStruct(s.GetStruct("kegauss"));
double[] embedSquaredWidths = s.Get1DDoubleArray("embed_width2s");
if (!MatrixUtils.IsAllPositive(embedSquaredWidths))
{
throw new ArgumentException("all embedding width^2's must be positive.");
}
double squaredWidth = s.GetDouble("width2");
if (squaredWidth <= 0)
{
throw new ArgumentException("width2 must be > 0");
}
return(new KGGaussian <T>(embedSquaredWidths, squaredWidth));
}
public new static KEGaussian <T> FromMatlabStruct(MatlabStruct s)
{
string className = s.GetString("className");
if (!className.Equals(MATLAB_CLASS))
{
throw new ArgumentException("The input does not represent a " + typeof(KEGaussian <T>));
}
double[] gwidth2s = s.Get1DDoubleArray("gwidth2s");
if (!MatrixUtils.IsAllPositive(gwidth2s))
{
throw new ArgumentException("all width^2's must be positive.");
}
return(new KEGaussian <T>(gwidth2s));
}