partitiondata.m.svn-base

a function inside machine learning

function [trainData, testData] = partitionData(d, trainIndices, testIndices) 
%Partitions a dataset into training and test sets give some indices 

% Copyright (C) 2006 Charanpal Dhanjal 

% This library is free software; you can redistribute it and/or
% modify it under the terms of the GNU Lesser General Public
% License as published by the Free Software Foundation; either
% version 2.1 of the License, or (at your option) any later version.
% 
% This library 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
% Lesser General Public License for more details.
% 
% You should have received a copy of the GNU Lesser General Public
% License along with this library; if not, write to the Free Software
% Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301
% USA

if (nargin ~= 3)
    fprintf('%s\n', help(sprintf('%s', mfilename)));
    error('Incorrect number of inputs - see above usage instructions.');
end

names = getDataFieldNames(d); 
numNames = length(names); 

trainData = data;
testData = data;

for i=1:numNames
    if ~strcmp(getDataFieldType(d, names{i}), 'kernel') 
        trainData = copyDataField(d, trainData, names{i}, trainIndices); 
        testData = copyDataField(d, testData, names{i}, testIndices); 
    else 
        trainData = copyDataField(d, trainData, names{i}); 
        testData = copyDataField(d, testData, names{i}); 
    end
end