44 copy = data.selection.DefaultSelector;
59 len = length(model.
Times);
61 [xdim, mudim] = td.getTrajectoryDoFs;
62 xi = data.FileMatrix(xdim,nt*len,
" Dir ",md.DataDirectory);
65 mui = zeros(mudim,nt*len);
68 [x, mu] = td.getTrajectoryNr(k);
69 pos = (k-1)*len+1:k*len;
71 ti(pos) = model.
Times;
73 mui(:,pos) = repmat(mu,1,size(x,2));
Selects all training data.
Base interface for any approximation training data selection algorithm.
The base class for any KerMor detailed model.
Times
Evaluation points of the model.
function [ data.FileMatrix xi , rowvec ti , matrix mui , fxi ] = select(models.BaseFullModel model)
Selects ALL the trajectory data as training.
virtual function n = getNumTrajectories()
Gets the total number of trajectories.
data.ModelData Data
The full model's data container. Defaults to an empty container.
data.ATrajectoryData TrajectoryData
The trajectory training data for the full model (only complete trajectories!)