unsudemo.m

四种SVM工具箱的分类与回归算法别人的

   sets=get(h.axes1,'UserData');

   % Are data sets loaded ?
   if isempty(sets)==1,
      % no warning is needy because of the huge topic on the screen:))).
      return;
   end
   
   [name,path]=uigetfile('*.mat','Load model');
   if name ~= 0,

     fname=strcat(path,name);
%     if checkdat(fname,DATA_IDENT,2,0)==1,

       unsudemo('reset',hfigure);
       
       model=load(fname);
       
       if exist('model.Pk')==0,
         % suppose uniformly distributed Pk
         model.Pk=ones(1,sum(model.K))/sum(model.K);
       end
       
       h.ellipse.mi = model.MI;
       h.ellipse.sigma=model.SIGMA;
       h.ellipse.Pk = model.Pk;
       
       h.ellipse.solution=0;
       h.ellipse.t=0;

       set(h.edclasses,'String',num2str(sum(model.K)));
       h.ellipse.classes=sum(model.K);
       h.ellipse.features=get(h.pufeatures,'Value');
                     
       set(hfigure,'UserData',h);                
       
       unsudemo('step',hfigure);
 %    else
%      errordlg('This file does not contain required data.','Bad file','modal');
%     end
   end
 
   
 case 'play'
   % == Play ============================================
   h=get(hfigure,'UserData');

   % get data set
   sets=get(h.axes1,'UserData');

   % Are data sets loaded ?
   if isempty(sets)==1 | h.ellipse.solution==1,
%%      text=sprintf(...
%%        'No action performed. No data to work on. Load or create it!');
%%      set(h.console,'String',text);
      return;
   end

   % disable button
   set([h.editer,h.btstep,h.btclose,h.btplay,...
        h.btreset,h.btinfo,h.btload,h.btcreat,h.txiter],...
      'Enable','off');

   % enable stop button
   set(h.btstop,'Enable','on');

   % get # of iterations
   iter=str2num(get(h.editer,'String'));

   % # of classes
   if h.ellipse.t==0,
      h.ellipse.classes=str2num(get(h.edclasses,'String'));
      h.ellipse.features=get(h.pufeatures,'Value');
      set([h.xbrandom,h.edclasses,h.txclasses,h.pufeatures,h.txfeatures],...
        'Enable','off');
   end

   % Shall the init be random, yes or no ?
   randinit=get(h.xbrandom,'Value');

   % set stop button
   set(h.btstop,'UserData',0);


   % Play - adaptation process
   play=1; % flag 1 - not finished, 1 - finished;
   while play==1 & get(h.btstop,'UserData')==0,

      % perform one learning step
      if h.ellipse.features==2,   % correlated features
        [h.ellipse.mi,h.ellipse.sigma,h.ellipse.Pk,eI,h.ellipse.solution,...
         h.ellipse.t]=unsund(sets.X,h.ellipse.classes,iter,randinit,...
         h.ellipse.t,h.ellipse.mi, h.ellipse.sigma,h.ellipse.Pk);
      else % independent
         [h.ellipse.mi,h.ellipse.sigma,h.ellipse.Pk,eI,h.ellipse.solution,...
         h.ellipse.t]=unsuni(sets.X,h.ellipse.classes,iter,randinit,...
         h.ellipse.t,h.ellipse.mi,h.ellipse.sigma,h.ellipse.Pk);
      end

      text=sprintf('step number t=%d ',h.ellipse.t);
      if h.ellipse.solution==1,
%%         text=strvcat(text,'Solution was found.');
         text=[text ',solution was found'];
         play=0;
         set(h.txsteps,'String',text);
      else
         set(h.txsteps,'String',text);

         val= mln(sets.X,h.ellipse.mi,h.ellipse.sigma,h.ellipse.Pk);

         text=sprintf('Log-likelihood, logL(t) = %f',val);
         set(h.title2,'String',text);
      
         h.graph1.time=[h.graph1.time,h.ellipse.t];
         h.graph1.loglik=[h.graph1.loglik,val];

         ylimit=get(h.axes2,'YLim');
         if ylimit(2) < val,
            set(h.axes2,'YLim',[ylimit(1) val+AXISY_ADD]);
         end        
      
         % is axis to be changed ?
         if h.ellipse.t > h.graph1.axist,
            h.graph1.axist=h.ellipse.t+iter*AXIST_ADD;
            set(h.axes2,'XLim',[1 h.graph1.axist]);
         end
         set(h.graph1.handler,'XData',h.graph1.time,'YData',h.graph1.loglik,...
           'Visible','on');    
         
      
         if h.ellipse.handler==-1,
            axes(h.axes1);
         end
         [h.ellipse.handler,h.center]=...
          pnmix(sets.X,h.ellipse.mi,h.ellipse.sigma,eI,h.ellipse.handler,h.center);
      end

      % comment
%%      set(h.console,'String',text);

      % store data
      set(hfigure,'UserData',h);

      % flush it on desktop
      drawnow;
   end % of while

   % dissable button
   set([h.editer,h.btstep,h.btclose,h.btplay,...
        h.btreset,h.btinfo,h.btload,h.btcreat,h.txiter],...
      'Enable','on');
   % enable stop button
   set(h.btstop,'Enable','off');

   % copy the solution to global variables to be visible outside unsudemo
   UNSU_MI = h.ellipse.mi;
   UNSU_SIGMA = h.ellipse.sigma;
   UNSU_PK = h.ellipse.Pk;
   UNSU_solution = h.ellipse.solution;
   UNSU_t = h.ellipse.t;

case 'step'
   % == One step of learning ===========================================
   h=get(hfigure,'UserData');

   % get data set
   sets=get(h.axes1,'UserData');

   % are data sets loaded ?
   if isempty(sets)==1 | h.ellipse.solution==1,
%%text=sprintf('No action performed. No data to work on. Load or create it!');
%%      set(h.console,'String',text);
%%      set(h.txsteps,'String',text);
      return;
   end

   % get # of iter
   iter=str2num(get(h.editer,'String'));

   % # of classes
   if h.ellipse.t==0,
      h.ellipse.classes=str2num(get(h.edclasses,'String'));
      h.ellipse.features=get(h.pufeatures,'Value');
      set([h.xbrandom,h.edclasses,h.txclasses,h.pufeatures,h.txfeatures],'Enable','off');
   end

   % random init yes or no
   randinit=get(h.xbrandom,'Value');

   % perform one learning step
   if h.ellipse.features==2,   % correlated
       [h.ellipse.mi,h.ellipse.sigma,h.ellipse.Pk,eI,h.ellipse.solution,...
        h.ellipse.t]=unsund(sets.X,h.ellipse.classes,iter,randinit,...
        h.ellipse.t,h.ellipse.mi,h.ellipse.sigma,h.ellipse.Pk);
   else % independent
       [h.ellipse.mi,h.ellipse.sigma,h.ellipse.Pk,eI,h.ellipse.solution,...
         h.ellipse.t]=unsuni(sets.X,h.ellipse.classes,iter,randinit,...
         h.ellipse.t,h.ellipse.mi,h.ellipse.sigma,h.ellipse.Pk);
   end

   text=sprintf('step number t=%d ',h.ellipse.t);
   if h.ellipse.solution==1,
%%      text=strvcat(text,'Solution is found.');
        text=[text ',solution was found'];
      set(h.txsteps,'String',text);
    else
      set(h.txsteps,'String',text);

      val= mln(sets.X,h.ellipse.mi,h.ellipse.sigma,h.ellipse.Pk);

      text=sprintf('Log-likelihood, logL(t) = %f',val);
      set(h.title2,'String',text);
      
      h.graph1.time=[h.graph1.time,h.ellipse.t];
      h.graph1.loglik=[h.graph1.loglik,val];

      ylimit=get(h.axes2,'YLim');
      if ylimit(2) < val,
         set(h.axes2,'YLim',[ylimit(1) val+AXISY_ADD]);
      end        
      
      % is axis to be changed ?
      if h.ellipse.t > h.graph1.axist,
         h.graph1.axist=h.ellipse.t+iter*AXIST_ADD;
         set(h.axes2,'XLim',[1 h.graph1.axist]);
      end
      set(h.graph1.handler,'XData',h.graph1.time,'YData',h.graph1.loglik,...
        'Visible','on');    
      
      if h.ellipse.handler==-1,
         axes(h.axes1);
      end            
      [h.ellipse.handler,h.center]=...
      pnmix(sets.X,h.ellipse.mi,h.ellipse.sigma,eI,h.ellipse.handler,h.center);
   end

   % comment
%%   set(h.console,'String',text);

   % flush it on desktop
   drawnow;

   set(hfigure,'UserData',h);

   % copy the solution to global variables to be visible outside unsudemo
   UNSU_MI = h.ellipse.mi;
   UNSU_SIGMA = h.ellipse.sigma;
   UNSU_PK = h.ellipse.Pk;
   UNSU_solution = h.ellipse.solution;
   UNSU_t = h.ellipse.t;


case 'getfile'
   % == Invoke standard open file dialog ====================================
   % Opens file and checks if contains apropriate data, if yes than loads data.

   h=get(hfigure,'UserData');

   % change path to directory
%%   wres=what('unsuper');
%%   cd(wres.path);

   [name,path]=uigetfile('*.mat','Open file');
   if name~=0,
      file.pathname=strcat(path,name);
      file.path=path;
      file.name=name;
      if checkdat(file.pathname,DATA_IDENT,2,0)==1,
         set(h.btload,'UserData',file);
         unsudemo('loadsets',hfigure);
      else
         errordlg('This file does not contain required data.','Bad file','modal');
      end
   end


case 'loadsets'
   % == Load sets ==================================================================
   % Get file name from the pop up menu according to menu pointer.

   h=get(hfigure,'UserData');

   % Get file name with sets
   file=get(h.btload,'UserData');

   % Load sets
   sets=load(file.pathname);

   % store loaded sets
   set(h.axes1,'UserData',sets);

   % call reset
   unsudemo('reset',hfigure);

   drawnow;


case 'reset'
   % == Reset adaptation process, set up t=0 ================

   h=get(hfigure,'UserData');                     % get handlers

   % get file
   file=get(h.btload,'UserData');

   % get data set
   sets=get(h.axes1,'UserData');

   % zeroes parameters of the separation line
   h.ellipse.mi=[];
   h.ellipse.sigma=[];
   h.ellipse.t=0;
   h.ellipse.Pk=[];
   h.center=-1;
   h.ellipse.handler=-1;
   h.ellipse.solution=0;

   h.graph1.time=[];
   h.graph1.axist=0;
   h.graph1.loglik=[];

   % clear axes prob.
   clrchild(h.axes2);
   axes(h.axes2);
%%   setaxis(h.axes2,[0 1 0 1]);
   axis auto;
   h.graph1.handler=plot([0],[0],'b','Parent',h.axes2,...
      'EraseMode','background','Visible','off');
         
   % store h
   set(hfigure,'UserData',h);

   % enable Edit Line 'classes'
   set([h.xbrandom,h.edclasses,h.txclasses,h.pufeatures,h.txfeatures],'Enable','on');

   % comment
   text=sprintf('Log-likelihood, logL(t)');
   set(h.title2,'String',text);

   text=sprintf('step number t=0. ');
   set(h.txsteps,'String',text);

   % clears axes
   set(get(h.axes1,'Children'),'EraseMode','normal');
   %%%   cla;
   clrchild(h.axes1);
   drawnow;

   % set axes and plot mixture
   axes(h.axes1);
   if isempty(sets)==0,
      win=cmpwin(min(sets.X'),max(sets.X'),BORDER,BORDER);
      %%%      axis(win);
      setaxis(h.axes1,win);
%%      axes(h.axes1);

      ppoints(sets.X,sets.I);
   end
   %%%%%%%%%%%%%%%%%%%%%%%%%%%%


   % create comment
   if isempty(sets)==0,
      set(h.title1,'String',sprintf('File: %s, # of points K = %d',file.name,sum(sets.K)));
   else
      set(h.title1,'String','No data loaded');

      pos=get(h.axes1,'Position');
      fsize=min(pos(3),pos(4))/7;
      setaxis(h.axes1,[-1 1 -1 1]);
      builtin('text',0,0,'Press ''Load data'' button.',...
         'Parent',h.axes1,...
         'HorizontalAlignment','center',...
         'FontUnits','normalized',...
         'Clipping','on',...
         'FontSize',fsize);
   end

   drawnow;

case 'creatdata'
   % == Invoke data set creator ============================================
   creatset('finite',10,'unsudemo','created',hfigure);

case 'created'
   % == Load new created data set ===========================================

   % get handler and make this figure active
   figure(hfigure);
   h=get(hfigure,'UserData');

   % get file name
   path=varargin{1};
   name=varargin{2};
   pathname=strcat(path,name);

   if checkdat(pathname,DATA_IDENT,2,0)==1,
      file.pathname=pathname;
      file.path=path;
      file.name=name;
      set(h.btload,'UserData',file);
      unsudemo('loadsets',hfigure);
   else
      errordlg('This file does not contain required data.','Bad file','modal');
   end

case 'info'
   % == Call standard Matlab`s info box =========================================
   helpwin(mfilename);

end % of switch