Exemplo n.º 1
0
        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));
        }
Exemplo n.º 2
0
        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));
        }