public new static RFGJointKGG FromMatlabStruct(MatlabStruct s)
{
// s.className=class(this);
// s.embed_width2s_cell = this.embed_width2s_cell;
// s.outer_width2 = this.outer_width2;
// s.numFeatures=this.numFeatures;
// s.innerNumFeatures = this.innerNumFeatures;
// s.eprodMap=this.eprodMap.toStruct();
// s.Wout = this.Wout;
// s.Bout = this.Bout;
string className = s.GetString("className");
if (!className.Equals(MATLAB_CLASS))
{
throw new ArgumentException("The input does not represent a " + MATLAB_CLASS);
}
double outer_width2 = s.GetDouble("outer_width2");
int numFeatures = s.GetInt("numFeatures");
int innerNumFeatures = s.GetInt("innerNumFeatures");
MatlabStruct mapStruct = s.GetStruct("eprodMap");
RFGEProdMap eprodMap = RFGEProdMap.FromMatlabStruct(mapStruct);
Matrix Wout = s.GetMatrix("Wout");
if (innerNumFeatures != Wout.Rows)
{
throw new ArgumentException("inner #features must be = #rows of Wout");
}
if (numFeatures != Wout.Cols)
{
throw new ArgumentException("numFeatures must be = #cols of Wout");
}
Vector Bout = s.Get1DVector("Bout");
if (Bout.Count != numFeatures)
{
throw new ArgumentException("Bout must have length = numFeatures");
}
RFGJointKGG jointMap = new RFGJointKGG();
jointMap.outer_width2 = outer_width2;
jointMap.numFeatures = numFeatures;
jointMap.innerNumFeatures = innerNumFeatures;
jointMap.eprodMap = eprodMap;
jointMap.Wout = Wout;
jointMap.Bout = Bout;
// construct object
return(jointMap);
}
// construct a RFGMap from MatlabStruct.
// Matlab objects of class RandFourierGaussMap.
// See RandFourierGaussMap.toStruct()
public static RFGMap FromMatlabStruct(MatlabStruct s)
{
// s.className = class(this);
// s.gwidth2=this.gwidth2;
// s.numFeatures=this.numFeatures;
// s.dim=this.dim;
// s.W=this.W;
// s.B=this.B;
string className = s.GetString("className");
if (!className.Equals("RandFourierGaussMap"))
{
throw new ArgumentException("The input does not represent a " + typeof(RFGMap));
}
double gwidth2 = s.GetDouble("gwidth2");
int numFeatures = s.GetInt("numFeatures");
// int dim = s.GetInt("dim");
Matrix W = s.GetMatrix("W");
if (W.Rows <= 0 || W.Cols <= 0)
{
throw new Exception("Loaded weight matrix has collapsed dimensions");
}
if (numFeatures != W.Cols)
{
// expect W to be dim x numFeatures
throw new ArgumentException("Loaded weight matrix's #cols does not match numFeatures.");
}
Vector B = s.Get1DVector("B");
// construct object
RFGMap map = new RFGMap();
map.GaussWidthSq = gwidth2;
map.WeightMatrix = W;
map.BiasVector = B;
Console.WriteLine("mapMatrix W's size: ({0}, {1})", W.Rows, W.Cols);
Console.WriteLine("bias vector length: {0}", B.Count);
return(map);
}
public static TensorInstances <T1, T2> FromMatlabStruct(MatlabStruct s)
{
// s = struct();
// s.className=class(this);
// instancesCount = length(this.instancesCell);
// cellStruct = cell(1, instancesCount);
// for i=1:instancesCount
// cellStruct = this.instancesCell{i}.toStruct();
// end
// s.instancesCell = cellStruct;
string className = s.GetString("className");
if (!className.Equals(MATLAB_CLASS))
{
throw new ArgumentException("The input does not represent a " +
typeof(TensorInstances <T1, T2>));
}
int instancesCount = s.GetInt("instancesCount");
if (instancesCount != 2)
{
throw new ArgumentException("expect instancesCount to be 2.");
}
object[,] instancesCell = s.GetCells("instancesCell");
if (instancesCell.Length != 2)
{
throw new ArgumentException("instancesCell does not have length 2.");
}
var da1Dict = (Dictionary <string, object>)instancesCell[0, 0];
var da2Dict = (Dictionary <string, object>)instancesCell[0, 1];
// assume instancesCell contains DistArray's
DistArray <T1> da1 = DistArray <T1> .FromMatlabStruct(
new MatlabStruct(da1Dict));
DistArray <T2> da2 = DistArray <T2> .FromMatlabStruct(
new MatlabStruct(da2Dict));
return(new TensorInstances <T1, T2>(da1.GetDists(), da2.GetDists()));
}
public new static RFGEProdMap FromMatlabStruct(MatlabStruct s)
{
// s.className=class(this);
// s.gwidth2=this.gwidth2;
// s.numFeatures=this.numFeatures;
// s.W=this.W;
// s.B=this.B;
string className = s.GetString("className");
if (!className.Equals(MATLAB_CLASS))
{
throw new ArgumentException("The input does not represent a " + MATLAB_CLASS);
}
// Vector of Gaussian width^2 for the mebedding kernel, one for
// each dimension of the input.
// Can be a scalar i.e., same param for each dimension.
// double[] gwidth2 = s.Get1DDoubleArray("gwidth2");
int numFeatures = s.GetInt("numFeatures");
// weight matrix. dim x numFeatures.
Matrix W = s.GetMatrix("W");
if (W.Cols != numFeatures)
{
throw new ArgumentException("numFeatures should be = #cols of W");
}
// coefficients b. a vector of length numFeatures.
// Drawn form U[0, 2*pi]
Vector B = s.Get1DVector("B");
// int numFeatures = s.GetInt("numFeatures");
RFGEProdMap map = new RFGEProdMap();
// map.gwidth2 = gwidth2;
map.numFeatures = numFeatures;
map.W = W;
map.B = B;
return(map);
}