function display(net)
% DISPLAY
%
% Display a textual representation of a support vector classifier object.
%
% display(net);
%
% File : @svc/display.m
%
% Date : Wednesday 13th September 2000
%
% Author : Dr Gavin C. Cawley
%
% Description : Part of an object-oriented implementation of Vapnik's Support
% Vector Machine, as described in [1]. This file comprises the
% display method for the base class, a linear SVM.
%
% References : [1] V.N. Vapnik,
% "The Nature of Statistical Learning Theory",
% Springer-Verlag, New York, ISBN 0-387-94559-8,
% 1995.
%
% History : 16/08/1999 - v1.00
% 12/09/2000 - v1.01 minor improvements to comments and help
% message
% 13/09/2000 - v1.10 zeta (pattern replication factors) and C
% fields removed from svc objects
%
% Copyright : (c) Dr Gavin C. Cawley, September 2000.
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program; if not, write to the Free Software
% Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
%
fprintf(1,'\nsupport vector classifier:\n\n');
fprintf(1,' kernel = %s\n', char(net.kernel));
fprintf(1,' bias = %f\n', net.bias);
fprintf(1,' sv = %s\n', mat2str(net.sv));
fprintf(1,' w = %s\n\n', mat2str(net.w));
% bye bye...
