Daniel@0: % ---
Daniel@0: % fake partitioning for comparison 
Daniel@0: % to stober08:
Daniel@0: % ---
Daniel@0: classdef cvpartition_alltrain
Daniel@0:   
Daniel@0: properties (Hidden)
Daniel@0: 
Daniel@0:     mtest;
Daniel@0:     mtraining;
Daniel@0: end
Daniel@0: properties
Daniel@0:     N;
Daniel@0:     NumTestSets;
Daniel@0:     TrainSize;
Daniel@0:     TestSize;
Daniel@0: end
Daniel@0:     
Daniel@0:         
Daniel@0: methods 
Daniel@0:     
Daniel@0: % ---
Daniel@0: % constuctor: directly calculates the truncated testset
Daniel@0: % ---
Daniel@0: function P = cvpartition_alltrain(nData, nRuns)
Daniel@0:     
Daniel@0:     P.NumTestSets = nRuns;
Daniel@0:     P.N = nData; 
Daniel@0: 
Daniel@0:     % build training and test sets
Daniel@0:     for i = 1:P.NumTestSets
Daniel@0:         P.TrainSize(i) = nData;
Daniel@0:         P.TestSize(i) = nData;
Daniel@0:         P.mtraining{i} = ones(P.N, 1);
Daniel@0:         P.mtest{i} = ones(P.N, 1);
Daniel@0:     end
Daniel@0: end
Daniel@0: 
Daniel@0: function out = test(P, i)
Daniel@0: 
Daniel@0:     out = P.mtest{i};
Daniel@0: end
Daniel@0: 
Daniel@0: function out = training(P, i)
Daniel@0: 
Daniel@0:     out = P.mtraining{i};
Daniel@0: end
Daniel@0: 
Daniel@0: end  
Daniel@0: end