dualpcaproject.m.svn-base

a function inside machine learning

function [testInfo, projectionInfo] = dualPCAProject(trainData, testData, subspaceInfo, params)
%Extract new features on a test set

if (nargin ~= 4)
    fprintf('%s\n', help(sprintf('%s', mfilename)));
    error('Incorrect number of inputs - see above usage instructions.');
end

[nameX, nameY] = getSpaceNames(params); 
[numTestExamples, numFeatures] = getDataFieldSize(testData, nameX); 

kernelFunction = char(params.X.kernel.name); 
kernelParams = params.X.kernel.params; 

tic; 
testTrainK = feval(kernelFunction, getDataFieldValue(testData, nameX), getDataFieldValue(trainData, nameX), kernelParams);
newTestX = testTrainK * subspaceInfo.B; 
testTime = toc;

testInfo.data = data; 
testInfo.data  = addDataField(testInfo.data, 'X', newTestX, 'examples'); 

projectionInfo = struct; 
projectionInfo.testTime = testTime;