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model_init.m
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model_init.m
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function model = model_init(kernel,kerparam)
% K_INIT create an empty model for training
%
% MODEL = K_INIT(KERNEL_FUNCTION,KERNEL_PARAMS) returns an empty model,
% that will use KERNEL_FUNCTION with KERNEL_PARAMS.
%
% MODEL = K_INIT returns an empty model, setting the kernel to null. It
% is used for algorithms without kernels.
%
% Example:
% % Define a Gaussian kernel, with scale = 2
% hp.type='rbf';
% hp.gamma=2;
% model_bak = model_init(@compute_kernel,hp);
% This file is part of the DOGMA library for MATLAB.
% Copyright (C) 2009-2011, Francesco Orabona
%
% 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 3 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, see <http://www.gnu.org/licenses/>.
%
% Contact the author: francesco [at] orabona.com
if nargin==0 || isempty(kerparam)
kernel=[];
kerparam=[];
end
model.S=[];
model.SV=[];
model.ker=kernel;
model.kerparam=kerparam;
model.b=0;
model.b2=0;
model.step=1000;