You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: vl_svmdataset.m
    path of file: ./repos/CS_MoCo_LAB/reconstruction/matlab/CS_LAB_matlab/utils/utils_SURF/toolbox/misc
    
    the code of the file until where you have to start completion: function dataset = vl_svmdataset(x, varargin)
% VL_SVMDATASET  Construct advanced SVM dataset structure
%   DATASET = VL_SVMDATASET(X) wraps the matrix X into a dataset
%   structure. All the formats supported by VL_SVMTRAIN() are
%   suppported here as well.
%
%   DATASET = VL_SVMDATASET(X, 'homkermap', HOM) where HOM is a
%   structure with zero or more of the following fields: HOM.kernel,
%   HOM.order, HOM.window, HOM.gamma, HOM.period, See VL_HOMKERMAP()
%   for a discussion of these parameters. The effect is to use the
%   homogeneous kernel map to expand the data on the fly. This is

    
function dataset = vl_svmdataset(x, varargin)
% VL_SVMDATASET  Construct advanced SVM dataset structure
%   DATASET = VL_SVMDATASET(X) wraps the matrix X into a dataset
%   structure. All the formats supported by VL_SVMTRAIN() are
%   suppported here as well.
%
%   DATASET = VL_SVMDATASET(X, 'homkermap', HOM) where HOM is a
%   structure with zero or more of the following fields: HOM.kernel,
%   HOM.order, HOM.window, HOM.gamma, HOM.period, See VL_HOMKERMAP()
%   for a discussion of these parameters. The effect is to use the
%   homogeneous kernel map to expand the data on the fly. This is
%   equivalent (albeit somewhat slower) to running VL_HOMKERMAP()
%   prior to learning. The main advantage is the significant memory
%   saving as the expanded data needs not to be stored in memory.
%
%   See:: VL_SVMTRAIN(), VL_HOMKERMAP(), VL_HELP().

% Author: Daniele Perrone and Andrea Vedaldi

opts.homkermap = [] ;
opts = vl_argparse(opts, varargin) ;

if issparse(x)
  error('X is a sparse matrix (sparse data will support be added in a future version.)') ;
end