wolffd@0: function [A, diag] = mahalmat_wrapper(X, Y, trainparams)
wolffd@0: % dummy wrapper to plug any fixed mahalanobis matrix into the 
wolffd@0: % testing set
wolffd@0: 
wolffd@0: % use deltafun to check for correct similarity
wolffd@0: if isfield(trainparams,'deltafun')
wolffd@0:     X = feval(trainparams.deltafun, X(:,1), X(:,2), trainparams.deltafun_params{:});
wolffd@0:     diag.deltafun = trainparams.deltafun;
wolffd@0: end
wolffd@0: 
wolffd@0: A = trainparams.mahalA;
wolffd@0: if size(A,1) ~= size(X,1)
wolffd@0:     error('wrong mahal matrix size');
wolffd@0: end
wolffd@0: 
wolffd@0: diag.trainfun = 'mahalmat';
wolffd@0: % ---
wolffd@0: % intorducing model tyopology:
wolffd@0: % mahal, nnet, gbrtree
wolffd@0: % ---
wolffd@0: diag.interpreter = 'DistMeasureMahal';