blmisc_split_ovr.m

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%> @brief One-Versus-Reference dataset split class combination
%>
%> Will result in n-1 datasets. Each dataset will have two classes: the one corresponding to idx_ref and one of the other classes
%>
%> Not published in GUI.
classdef blmisc_split_ovr < blmisc_split
    properties
        hierarchy = [];
        idx_ref = 1;
    end;
    
    methods
        function o = blmisc_split_ovr()
            o.classtitle = 'One-Versus-Reference';
            o.flag_ui = 1;
        end;
    end;
    
    methods(Access=protected)
        function datasets = do_use(o, data)

            temp = data_split_classes(data, o.hierarchy);
            classmap = classlabels2cell(data.classlabels, o.hierarchy);
            ii = 0;
            for i = 1:length(temp)
                if i ~= o.idx_ref
                    ii = ii+1;
                    datasets(ii) = data_merge_rows(temp([o.idx_ref, i]));
                    datasets(ii).title = [classmap{i, 3} ' vs. ' classmap{o.idx_ref, 3}];
                end;
            end;
        end;
    end;  
end