IRootLab
An Open-Source MATLAB toolbox for vibrational biospectroscopy
vis_log_celldata.m
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1 %> @brief Visualization - Histograms from @ref log_celldata
2 %>
3 %> @todo needs implementing the properties GUI
4 classdef vis_log_celldata < vis
5  properties
6  idx = 1;
7  flag_std = 1;
8  end;
9 
10  methods
11  function o = vis_log_celldata(o)
12  o.classtitle = 'Cell data';
13  o.inputclass = {'log_celldata'};
14  o.flag_params = 0; % Temporarily
15  end;
16  end;
17 
18  methods(Access=protected)
19  function out = do_use(o, obj)
20  out = [];
21  obj.draw(o.idx, o.flag_std);
22  set_title(o.classtitle, obj);
23  end;
24  end;
25 end
Property flag_params
Definition: irobj.m:57
Visualization base class.
Definition: vis.m:4
function set_title(in s, in obj)
Visualization - Histograms from log_celldata.
Learning curve: (percent dataset used for training)x(classification rate)
Definition: log_celldata.m:10